Next Article in Journal
Supporting Relatives Prior to Caregiver Burden—Preventive E-Mental Health Short Intervention for Family Members of Individuals with Parkinsonism in an Early Phase of the Disease: Protocol for a Feasibility Study
Next Article in Special Issue
The Influence of Psychopathy on Incarcerated Inmates’ Cognitive Empathy
Previous Article in Journal
The Association of Self-Reported ADHD Symptoms and Sleep in Daily Life of a General Population Sample of School Children: An Inter- and Intraindividual Perspective
Previous Article in Special Issue
Disentangling the Association between ADHD and Alcohol Use Disorder in Individuals Suffering from Bipolar Disorder: A Systematic Review and Meta-Analysis
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Visual Event-Related Potentials under External Emotional Stimuli in Bipolar I Disorder with and without Hypersexuality

1
The Second Clinical Medical College, Zhejiang Chinese Medical University, Hangzhou 310053, China
2
Department of Clinical Psychology and Psychiatry, School of Public Health, Zhejiang University College of Medicine, Hangzhou 310058, China
3
Department of Psychology, Norwegian University of Science and Technology, 7491 Trondheim, Norway
*
Author to whom correspondence should be addressed.
Brain Sci. 2022, 12(4), 441; https://doi.org/10.3390/brainsci12040441
Submission received: 19 February 2022 / Revised: 17 March 2022 / Accepted: 24 March 2022 / Published: 25 March 2022
(This article belongs to the Special Issue The Neural Base of Personality and Adulthood Behavioral Disorders)

Abstract

:
Hypersexuality is related to functions of personality and emotion and is a salient symptom of bipolar I disorder especially during manic episode. However, it is uncertain whether bipolar I disorder with (BW) and without (BO) hypersexuality exhibits different cerebral activations under external emotion stimuli. In 54 healthy volunteers, 27 BW and 26 BO patients, we administered the visual oddball event-related potentials (ERPs) under external emotions of Disgust, Erotica, Fear, Happiness, Neutral, and Sadness. Participants’ concurrent states of mania, hypomania, and depression were also evaluated. The N1 latencies under Erotica and Happiness were prolonged, and the P3b amplitudes under Fear and Sadness were decreased in BW; the P3b amplitudes under Fear were increased in BO. The parietal, frontal, and occipital activations were found in BW, and the frontal and temporal activations in BO under different external emotional stimuli, respectively. Some ERP components were correlated with the concurrent affective states in three groups of participants. The primary perception under Erotica and Happiness, and voluntary attention under Fear and Sadness, were impaired in BW, while the voluntary attention under Fear was impaired in BO. Our study indicates different patterns of visual attentional deficits under different external emotions in BW and BO.

Graphical Abstract

1. Introduction

Mood disorder is a psychiatric illness being predominated in emotional and cognitive disturbances [1,2], and its main type is bipolar disorder, a lifelong and recurrent disease being characterized by fluctuant mood and energy episodes of mania/hypomania and depression [3]. Bipolar disorder affects over 1% of the globe population, with high incidence rates of disability and suicide [4]. Its exact pathogenesis is not fully known, but nearly 70% of it is heritable [5]. Other contributing factors to its onset might be the monoaminergic dysregulation, inflammatory disturbance, and adverse environmental exposure [5,6,7]. In clinics, the precision diagnosis and management of bipolar disorder and its subtypes remain difficult after tremendous efforts these years, which might be due to the nonspecific symptoms or a depressive episode at the beginning and to the substantial psychiatric and somatic comorbidities [3,4].
For instance, the bipolar I disorder (BD I) has prominent impulsivity, irritability, and distractibility [8], and is characterized by the recurrent mania and depression episodes [9] which are subjected to severe dysfunctions of emotional processing and regulation [10,11]. Patients with BD I experienced great negative affectivity in their daily life [12], and showed impairment in recognizing facial happiness and disgust [13]. Interestingly, deficits in cognition, attention, and executive function are prominent in BD I which share a close relationship with the abnormal cerebral activities [14,15]. These activations might be motivated by two neural systems of attention: one is the top-down network involving the dorsal posterior parietal and frontal cortices, responsible for the goal-directed selection of stimuli, the other is the bottom-up network which is mediated by temporoparietal and ventral frontal cortices, in charge of detection for salient or unexpected stimuli [16]. The inhibitory control deficit which might be influenced by emotional stimuli is also a core feature of BD I [17,18], and this deficit in BD I is mainly correlated with the functional abnormalities involved in the right inferior frontal gyrus and the right superior temporal gyrus [19]. These neurobiological findings partly support and extend the crucial role of prefrontal areas (especially the inferior frontal gyrus and pre-supplementary motor area) played in the neural network of inhibitory control [20,21]. In addition to its attention and inhibitory control, the prefrontal cortex performs a vital role in the emotional generation and regulation, and in the neural circuitry underlying human learning regarding fear conditioning which contributes to the understanding of psychiatric disorders [22,23].
Hypersexuality which is characterized by intense and excessive sexual cognitions, fantasies, urges, or behaviors, is one of the best-known and influential symptoms of BD I [24]. It is also connected closely with emotional instability and impulsivity, which are often found in personality disorders [25,26]. Patients with Cluster B personality disorders, for example, have some hypersexuality features [27,28], and the difficulties of emotional regulation are suggested to be an etiological factor of hypersexuality in some psychiatric disorders such as BD I [29,30]. However, there is no direct evidence showing the differently emotional processes between BD I with (BW) and without (BO) hypersexuality. Considering the core features of hypersexuality [31,32], we might speculate that BW engages in more sexual-related or risky behaviors and experiences more negative emotions than BO.
Previous studies have shown that the attentional or cognitive functions of BD I are modulated by external emotions [33,34]. Attentional bias was when an individual was facing diversely external stimuli where the emotional stimuli received more attentional resources than the neutral ones [35]. Processing emotional stimuli mainly consists of the primary perception and the voluntary processing with attention and cognition deployment [36]. Moreover, attentional and cognitive deficits of external emotions in BD I patients vary due to their concurrent mood states. Previous studies have shown that the difficulties in recognizing facial fear and disgust were pronounced in BD I patients during manic episodes [37], and those in depressive episodes poorly recognized positive facial emotions and overidentified negative ones [38]. In manic phases, BD I patients displayed happiness-related bias during initial orienting and threat-related bias during attentional engagement in an eye-tracking study [39]. In an event-related potential (ERP) study, the P3 amplitudes triggered by negative facial emotions were decreased in manic patients compared to healthy volunteers [40], and BD I showed hyperactivation in the left insula coupled with hypoactivation in right supramarginal gyrus and left precuneus when exposed to emotionally negative images [11]. The increased activations of anterior cingulate, dorsolateral prefrontal cortex, and amygdala to facial fear and happiness also reported in BD I [10]. Moreover, BW and BO patients differently displayed the peripheral physiological responses to external emotions and their transitions, for instance, erotica and sadness [41]. However, clear pictures of cerebral attentional function in BW and BO under external emotional stimuli are still unclear.
With excellent temporal resolution, the ERPs serve as a precise index of cortical activity and are commonly used in detecting attentional and cognitive variations of human beings [42]. The ERP N1 and P2 components are involved with primary perception of incoming information and early allocation of attention to stimuli [43,44], respectively. N2 reflects the involuntary identification and distinction to deviant stimuli [45]. P3 component is involved in central resource allocation and voluntary processing of attention and working memory; its subcomponent P3a is related to stimulus-driven attention processing, and its P3b is associated with context updating and subsequent memory storage [46]. In the current study, we would like to use visual ERPs under externally emotional stimuli in BW and BO patients. We have hypothesized that: (1) compared to BO, BW would display more significant abnormalities in ERP components representing primary perception or involuntary attention under positive emotions, and in those representing voluntary attentional processing under negative emotions; (2) both BW and BO would have different patterns of cerebral activation under different external emotions; and (3) the ERP morphologies would correlate with the concurrently affective states of BW and BO.

2. Materials and Methods

2.1. Participants

Altogether 107 participants were recruited from the university, community, or psychiatric clinic: 54 healthy volunteers (21 males and 33 females; mean age: 19.56 years ± 2.00 S.D., age range: 18–26 years); 27 BW (17 males and 10 females; mean age: 19.22 ± 1.70, age range: 18–24); and 26 BO (10 males and 16 females; mean age: 19.85 ± 1.97, age range: 18–24) patients. Patients were diagnosed by an experienced psychiatrist (W.W.) according to DSM-5 diagnostic criteria for BD I [1] and the proposed diagnostic criteria for hypersexuality [29], together with the following questionnaires measuring affective states. There were no significant differences among the three groups as to gender (χ2 = 4.79, df = 2, p = 0.091), age (F (2, 104) = 0.70, mean square effect (MSE) = 2.59, p = 0.498), or education level (χ2 = 1.33, df = 2, p = 0.513). Through a semi-structured clinical interview, all participants were confirmed to be medication-free for at least one week and have no other confounding factors including schizophrenia, personality disorder, substance abuse, head injury, or central nervous system, and neurocognitive disorders. When necessary, two staff members were available to assist participants in filling in the demographic information, questionnaires, and completing the ERP tests. The study protocol was approved by a local ethics committee, and all participants had provided their written informed consent before participating in this study.

2.2. Questionnaires

All participants were asked to complete the three self-assessment questionnaires below in a quiet room, using a paper-and-pencil style.
A. The Mood Disorder Questionnaire (MDQ; [47]) is an instrument with 13 dichotomous items (yes/no) assessing mania/hypomania symptoms and behaviors, and two items evaluating the frequency of those symptoms and the extent of functional impairment. The internal reliability of the 13 dichotomous items was 0.77 in the current study.
B. The Hypomania Checklist-32 (HCL-32; [48]) comprises 32 items for detecting hypomanic symptoms. There are 32 dichotomous items (yes/no) regarding emotions, thoughts, or behaviors of hypomania, and other items about the duration, impact on family, social as well as work life, or other people’s reactions. Its internal reliability was 0.76 in the current study.
C. The Plutchik–van Praag Depression Inventory (PVP; [49]) consists of 34 items describing depression symptoms. Three scale points (0, 1, 2) of each item are corresponding to increasing tendencies of depression. If participants score between 20 and 25, they are considered to have “possible depression”, or “depression” if they score above 25. The internal reliability of this inventory was 0.82 in the current study.

2.3. ERP Designs and Recordings

2.3.1. External Emotional Stimuli

The external emotional stimuli were composed of pictures selecting from the International Affective Picture System [50] and sounds from the International Affective Digital Sounds [51] of the same domain. The six scenes of distinct emotions, namely Disgust (picture code: 9325; sound code: 255), Erotica (4680; 205), Fear (3053; 275), Happiness (2040; 110), Neutral (5390; 172), and Sadness (2205; 295), were presented by eevokeTM software 3.1 (ANT Software B.V., Enschede, The Netherlands). In each emotional scene, a color picture was horizontally presented (768 × 512 pixels), sustaining about 19.8° × 13.5° of visual angles. Simultaneously, a sound of 40–50 dB in intensity was delivered through headphones.

2.3.2. ERP Paradigm

After completing the above-mentioned questionnaires, participants were led to a dimly lit room and seated at 100 cm from a computer screen. Six successive sessions (Disgust, Erotica, Fear, Happiness, Neutral, or Sadness) with a two-minute interval between adjacent sessions were randomly presented for each participant. Within each session, a fixation cross in the middle of a black background were presented for 3000 ms, followed by 150 ERP trials (each trial lasting for 2400 ms), with an inter-trial interval of 1200~1500 ms. Within each trial, an external emotional stimulus of either Disgust, Erotica, Fear, Happiness, Neutral, or Sadness was shown for 2000 ms; then either a standard (a square of 40 mm × 40 mm, lasting for 400 ms) or target (a circle of 40 mm in diameter, 400 ms) stimulus appeared in the middle of the black background (Figure 1). In a randomized order, the standard stimuli were delivered 120 times (80%) and the target stimuli 30 times (20%). Participants were instructed to respond to the target stimuli actively by pressing a button with their right index finger as soon as possible, and no reaction was needed to the standard stimuli or emotional displays.

2.3.3. ERP Recording

EEG signals were recorded with 32 channel elastic electrocap (Electro-Cap International, Inc., Eaton, OH, USA) according to the 10–20 International System. The impedance of each electrode was maintained below 10 kΩ, and EEG signals were amplified by a DC amplifier (the ANT amplifier, Enschede, The Netherlands) with a sampling rate of 1024 Hz. Bipolar recordings of the electro-ocular activity were collected by electrodes placed at the outer canthus and supraorbitally to the right eye. Referred to the average activity of the two mastoid electrodes (M1 and M2), potentials were analyzed offline using a band-pass of 0.01~30 Hz in ASA software 4.7.3 (ANT Software B.V., Enschede, The Netherlands). The sampling epoch was 100 ms pre-stimulus and 600 ms post-stimulus. Any sweep in which the EEG exceeded ±70 μv or with electro-ocular activity was excluded from averaging.
Nine electrodes in frontal, central and parietal sites, i.e., F3, Fz, F4, C3, Cz, C4, P3, Pz, and P4 were selected, and ERP morphology determined by target stimuli were analyzed in terms of peak latency and baseline-to-peak amplitude. Latency ranges of potentials were 70~200 ms for N1, 150~300 ms for P2, 210~390 ms for N2, 300~500 ms for P3a, and 400~580 ms for P3b. Moreover, the reaction times and hit accuracies in response to target stimuli were recorded.

2.4. Statistical Analyses

One-way ANOVA was applied to the scale scores of MDQ, HCL-32, and PVP as well as reaction times in the three groups of participants. The latencies and amplitudes of ERP component in the three groups were analyzed by two-way ANOVA, i.e., group (3) × electrode (9). Whenever a significant main effect was detected, the Bonferroni test was employed as a post-hoc comparison. The p < 0.05 at no less than three coaxial electrodes (frontal, central, posterior in lateral axis; left, midline, right in sagittal axis) were considered to be significant and meaningful for group companions. Relationships between ERP components and questionnaire scores were examined using the Pearson correlation test, and only significant correlations with p < 0.01 at no less than three coaxial electrodes were considered as stable and meaningful.
The respective 3D sources were reconstructed based on data obtained at the 32 electrodes, to observe the involvement of cerebral areas corresponding to the significant differences of target stimuli under specific external emotional stimuli in the three groups. The source reconstruction applied the SPM12 software package, running in Matlab R2014b (Mathworks Inc., Natick, MA, USA). The figures of the averaged source map were generated by xjView 10.0 (http://www.alivelearn.net/xjview (accessed on 18 February 2022)).

3. Results

3.1. Concurrent Affective States and Behavioral Results

The MDQ scores were significantly different among the three groups of participants (F (2, 104) = 30.89, p < 0.001, MSE = 198.04), with BW (p < 0.001, 95% confidence interval (CI) = 2.68~5.58) and BO (p < 0.001, 95% CI = 2.03~4.97) scored higher than controls did. The HCL-32 scores were also significantly different among the three groups (F (2, 104) = 64.89, p < 0.001, MSE = 521.55). The BW (p < 0.001, 95% CI = 4.95~8.20) and BO (p < 0.001, 95% CI = 4.22~7.51) reported higher hypomania symptoms than controls did (Table 1). No significant difference was found in PVP scores (F (2, 104) = 0.73, p = 0.486, MSE = 32.31), reaction times (F (2, 95) = 0.50~2.13, p = 0.125~0.609, MSE = 3347.00~17,572.70), or reaction accuracies (F (2, 95) = 0.19~2.35, p = 0.101~0.831, MSE = 9.31~109.93).

3.2. ERP Components

The ERP components N1, P2, N2, P3a, and P3b under differently external emotions were collected in three groups of participants. For the sake of brevity, only data showing significant differences between groups were reported here, all other data are available upon request. There were significant differences on N1 latencies under Erotica (group effect, F (2, 104) = 7.18, p = 0.001, MSE = 31,764.79; electrode effect, F (8, 832) = 13.59, p < 0.001, MSE = 2638.88; group × electrode effect, F (16, 832) = 1.04, p = 0.410, MSE = 202.12) and Happiness (group effect, F (2, 103) = 3.96, p = 0.022, MSE = 15,955.06; electrode effect, F (8, 824) = 6.51, p < 0.001, MSE = 1514.16; group × electrode effect, F (16, 824) = 0.92, p = 0.548, MSE = 213.52) among the three groups of participants. N1 latencies under Erotica at frontal and central electrodes were prolonged in BW compared to those in BO (p = 0.002~0.042) and controls (p = 0.000~0.036), at left electrodes were prolonged in BW (p = 0.002~0.045) compared to those in BO, and at middle electrodes were prolonged in BW (p = 0.000~0.008) compared to those in controls. N1 latencies under Happiness at frontal electrodes were prolonged in BW (p = 0.000~0.045) compared to those in controls. The P3b amplitudes under Fear (group effect, F (2, 103) = 7.94, p = 0.001, MSE = 929.93; electrode effect, F (8, 824) = 11.10, p < 0.001, MSE = 29.75; group × electrode effect, F (16, 824) = 1.61, p = 0.060, MSE = 4.32) and Sadness (group effect, F (2, 103) = 3.73, p = 0.027, MSE = 478.13; electrode effect, F (8, 824) = 9.22, p < 0.001, MSE = 32.51; group × electrode effect, F (16, 824) = 1.33, p = 0.171, MSE = 4.69) in three groups were also statistically different: P3b amplitudes under Fear at all nine electrodes (p = 0.001~0.011) and under Sadness at middle electrodes in BW (p = 0.005~0.048) were decreased than those in BO, and P3b amplitudes under Fear at all nine electrodes in BO (p = 0.001~0.025) were increased than those in controls (Table 2). The P2 latencies under Sadness (group effect, F (2, 103) = 4.04, p = 0.020, MSE = 24,782.99; electrode effect, F (8, 824) = 4.37, p < 0.001, MSE = 1627.81; group × electrode effect, F (16, 824) = 1.34, p = 0.165, MSE = 499.23) and P3b amplitudes under Erotica (group effect, F (2, 104) = 3.13, p = 0.048, MSE = 265.95; electrode effect, F (8, 832) = 5.26, p < 0.001, MSE = 14.26; group × electrode effect, F (16, 832) = 0.927, p = 0.538, MSE = 2.51) were also statistically different among three groups of participants. However, the post-hoc comparisons did not detect any meaningfully between-group differences. As an example, the grand averages of ERPs under external Erotica at nine electrodes in three groups were presented in Figure 2. The differences of N1 latencies under Erotica and Happiness, and P3b amplitudes under Fear and Sadness at Cz in three groups were illustrated in Figure 3.

3.3. Source Reconstructions

After significant differences on N1 latencies and P3b amplitudes under different external emotions were found, we located the possible neural sources for these components by performing 3D source reconstruction in 70–200 ms and 400–580 ms time-windows in three groups, respectively. In controls, the bilateral supramarginal gyri under Erotica and right inferior temporal gyrus under Happiness were mainly activated in N1 time windows. During P3b time window, the right inferior occipital gyrus under Fear and bilateral medial frontal gyri were activated. In BW, enhanced processing of left postcentral gyrus, right supramarginal gyrus, and bilateral inferior frontal gyri were found during Erotica and Happiness in N1 time window, and of bilateral lingual gyri as well as left medial frontal gyrus during Fear and Sadness in P3b time window. In BO, the bilateral medial frontal gyri and right inferior temporal gyrus were processed under Erotica in N1 time window and Fear in P3b time window, while the left superior/inferior frontal gyri were involved with Happiness during N1 time window and Sadness during P3b time window (Table 3). As an example, the 3D source reconstruction of N1 to Erotica in three groups was shown in Figure 4

3.4. Relationships between ERPs and Concurrent Affective States

In controls, the N1 amplitudes under Sadness in frontal electrodes were positively correlated with MDQ (n = 54, r = 0.38~0.39, p = 0.003~0.005). In BW, the P3a amplitudes under Erotica in all nine electrodes except for C3 were positively correlated with PVP (n = 27, r = 0.50~0.60, p = 0.001~0.008). In BO, the N1 amplitudes under Fear in right electrodes were negatively correlated with HCL-32 (n = 25, r = −0.53~−0.58, p = 0.002~0.007). No other meaningful relationship between ERP components and affective states was found in any given group. Taking an example, the correlation between P3a amplitude (Cz) under Erotica and the PVP score in BW was displayed in Figure 5.

4. Discussion

To the best of our knowledge, this is the first study examining visual ERPs under external emotions in BW and BO. Confirming our hypotheses, we found higher MDQ and HCL-32 scores in both BW and BO than those in controls, which is in accordance with former studies showing that BD I exhibit high levels of manic or hypomanic symptoms [41,52]. N1 latencies under Erotica and Happiness were prolonged in BW when compared to BO or healthy controls. P3b amplitudes were decreased under Fear and Sadness in BW compared to those in BO, and were increased in BO under Fear compared to controls. Abnormal activation of the cerebral areas especially frontal regions was detected corresponding to N1 and P3b components under different external emotions. Moreover, the concurrent affective states were correlated with ERPs in three groups.
In healthy controls, processing in Erotica and Happiness during N1 time window were mainly activated the bilateral supramarginal gyri and right inferior temporal gyrus, respectively. This might be supported by the connection of temporo-parietal lobe under positive emotion [53]. The right inferior occipital gyrus and bilateral medial frontal gyri were activated in Fear and Sadness during P3b time window, which was consistent with the previous studies showing that the neural activations of negative emotion were in right occipital gyrus, right amygdala, and bilateral frontal regions [54,55]. The correlation between mania and the elementary encoding of Sadness might be explained by the fact that the manic patients reported attenuated subjective sensation of facial sadness [56].
In BW, N1 latencies under Erotica and Happiness were prolonged. Since N1 reflects the primary processing of incoming information [44], the prolonged N1 latencies under Erotica and Happiness implied a delayed processing of positive emotions. Hypersexual individuals exhibited fewer positive emotions and displayed a paucity of happiness [57], which might influence the recognition of happiness stimuli. The differences of N1 latencies under Erotica between BW and BO might be due to the compulsive use of sexual materials in BW [31], thus leading to a decrease of emotional sensitivity to erotica. On the other hand, the hypersexual behaviors were associated with negative emotions [57], and the impaired recognition of unpleasant emotions in BD I [13,37] might result in the delayed perception of Erotica in BW in the current study. Through source analyses, we also found different parts of the brain activated under external erotica and happiness in BW. The literature shows that the postcentral gyrus plays a critical role in processing sensory information and regulation of emotion [58], and the supramarginal gyrus is a part of the ventral attention network [59] associated with overcoming emotional egocentric biases [60]. The inferior frontal gyrus is activated during attentional control and emotional perception [61,62]. In addition to encoding the primary perception of stimuli, the activations of these regions might imply that Erotica rather than Happiness induces the activation of somatosensory areas in BW. The finding that negative and distressing emotions triggered excessive sexual behaviors [63] helps explain the positive correlation between PVP and P3a amplitudes under Erotica in our BW patients.
In BO, P3b amplitudes under Fear were increased, suggesting the heightened voluntary attention to the negative emotions in these patients, which might be due to difficulties of ignoring the threating stimuli during attentional engagement [64]. The decreased P3b amplitudes in BW rather than in BO under Fear and Sadness might be explained by the following documentation. Hypersexuality is a typical symptom of mania episode [24], patients with mania displayed an impaired recognition of facial fear and sadness [56,65], and displayed the emotional dysfunction manifested in hypersexuality [26]. These abnormalities might lead to insufficient voluntary attention and evaluation to Fear and Sadness in BW. On the other hand, the neural regions activated during Fear were diverse in BW and BO during P3b time window. Indeed, bilateral lingual gyri associated with visual memory and stimuli perception [66] were activated in BW. Interestingly, bilateral medial frontal gyri which play a critical role in executive function, decision making, and cognitive control of emotion [67,68], and right inferior temporal gyrus, which correlates with object recognition [69], were mainly activated in BO. Moreover, the N1 amplitudes under Fear in right electrodes were negatively correlated with HCL-32 in BO. In clinics, individuals with hypomania show elevated mood, increased energy or activity, flights of ideas, and racing thought [9], which might facilitate the primary recognition of fearful or threating scenes in BO.
Similar to our present findings, Sagar et al. [10] showed that BD I had similar activated brain regions under fearful and happy stimuli. More specifically, we discovered that even during different time windows, activations of prefrontal cortex were altered in BW and BO under both Happiness and Sadness. Indeed, the activation of prefrontal cortex is critical in the emotional regulation [23]. In our BO, there were more activations of bilateral medial frontal gyri and right inferior temporal gyrus under both Erotica and Fear, which might imply that the primary perception under Erotica and the voluntary attention under Fear were more contrasted to distinguish BW and BO than those under Happiness and Sadness.
Considering the disruption of cognitive and cerebral processing under external emotions in BW and BO, the non-invasive brain stimulation might be considered as an effective approach to enhance neurocognition and regulate behaviors of the two BD I subtypes through applying to the specific brain areas, such as the prefrontal cortex which ties closely with cognition and emotional regulation [70]. Indeed, this stimulation method has been adopted in the management of psychiatric and neurological diseases [70,71], in improvement of emotion recognition [72], and in modulation of memory, particularly fear-related ones [73,74]. For the current challenges of precision diagnosis and management, this stimulation method within brain functional regions is potentially applicable in the individualized treatment of psychiatric problems including bipolar disorder.

5. Limitations and Future Directions

Nonetheless our study suffers from several design limitations. Firstly, our participants were all young adults, whether the results can be generalized to other age groups remains to be seen. Secondly, we only enrolled BW and BO patients, recruiting other groups such as major depression or personality disorder might add more confirmation to our current findings. Thirdly, we did not include other external emotions such as surprise, anger, or contempt, which might also display their emotional effects on the attentional process. Fourthly, we failed to measure personality traits in our participants, since BD I and hypersexuality might be related to either normal or disordered personality traits. Fifthly, we did not follow up to the eventual therapies of our patients, which might affect their sexuality in a far-reaching way. Nevertheless, we have demonstrated that BW had delayed primary perception under Erotica and Happiness and decreased voluntary attention under Fear and Sadness, and demonstrated differences between BW and BO on attentional function under Erotica and Fear. Thus, our study might provide hints of different emotional processes of and the clinical intervention for the two subtypes of bipolar I disorder.

6. Conclusions

We have found that BW and BO demonstrated different cerebral processing and activations under external emotions, especially Erotica and Fear. Our study thus indicates different patterns of visual attentional deficits and emotional processes and provides a basis for developing emotional intervention therapy and applying the non-invasive brain stimulation to brain areas including prefrontal cortex in the two bipolar I disorder subtypes.

Author Contributions

Conceptualization, W.W.; methodology, W.W., L.M.R. and C.W.; investigation, C.W. and W.W.; data curation, W.W.; writing—original draft preparation, C.W., L.M.R. and W.W.; writing—review and editing, C.W., L.M.R. and W.W.; supervision, W.W.; funding acquisition, W.W. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by Natural Science Foundation of China (No. 81771475) to the correspondent author (W.W.).

Institutional Review Board Statement

The study was conducted in accordance with the Declaration of Helsinki, and approved by the Ethics Committee of Zhejiang University School of Public Health (ZGL201606-1-6).

Informed Consent Statement

Informed consent was obtained from all subjects involved in the study.

Data Availability Statement

Data are available from the corresponding author (W.W.) upon reasonable request.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Elliott, R.; Zahn, R.; Deakin, J.F.; Anderson, I.M. Affective cognition and its disruption in mood disorders. Neuropsychopharmacology 2011, 36, 153–182. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  2. Solé, B.; Jiménez, E.; Torrent, C.; Reinares, M.; Bonnin, C.; Torres, I.; Varo, C.; Grande, I.; Valls, E.; Salagre, E.; et al. Cognitive Impairment in Bipolar Disorder: Treatment and Prevention Strategies. Int. J. Neuropsychopharmacol. 2017, 20, 670–680. [Google Scholar] [CrossRef] [PubMed]
  3. Vieta, E.; Berk, M.; Schulze, T.G.; Carvalho, A.F.; Suppes, T.; Calabrese, J.R.; Gao, K.; Miskowiak, K.W.; Grande, I. Bipolar disorders. Nat. Rev. Dis. Primers 2018, 4, 18008. [Google Scholar] [CrossRef] [PubMed]
  4. Grande, I.; Berk, M.; Birmaher, B.; Vieta, E. Bipolar disorder. Lancet 2016, 387, 1561–1572. [Google Scholar] [CrossRef]
  5. McIntyre, R.S.; Berk, M.; Brietzke, E.; Goldstein, B.I.; López-Jaramillo, C.; Kessing, L.V.; Malhi, G.S.; Nierenberg, A.A.; Rosenblat, J.D.; Majeed, A.; et al. Bipolar disorders. Lancet 2020, 396, 1841–1856. [Google Scholar] [CrossRef]
  6. Małgorzata, P.; Paweł, K.; Iwona, M.L.; Brzostek, T.; Andrzej, P. Glutamatergic dysregulation in mood disorders: Opportunities for the discovery of novel drug targets. Expert Opin. Ther. Targets 2020, 24, 1187–1209. [Google Scholar] [CrossRef] [PubMed]
  7. Tanaka, M.; Tóth, F.; Polyák, H.; Szabó, Á.; Mándi, Y.; Vécsei, L. Immune Influencers in Action: Metabolites and Enzymes of the Tryptophan-Kynurenine Metabolic Pathway. Biomedicines 2021, 9, 734. [Google Scholar] [CrossRef] [PubMed]
  8. Serretti, A.; Olgiati, P. Profiles of “manic” symptoms in bipolar I, bipolar II and major depressive disorders. J. Affect. Disord. 2005, 84, 159–166. [Google Scholar] [CrossRef] [PubMed]
  9. American Psychiatric Association. Diagnostic and Statistical Manual of Mental Disorders, 5th ed.; American Psychiatric Press: Arlington, VA, USA, 2013. [Google Scholar]
  10. Sagar, K.A.; Dahlgren, M.K.; Gönenç, A.; Gruber, S.A. Altered affective processing in bipolar disorder: An fMRI study. J. Affect. Disord. 2013, 150, 1192–1196. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  11. Sepede, G.; De Berardis, D.; Campanella, D.; Perrucci, M.G.; Ferretti, A.; Salerno, R.M.; Di Giannantonio, M.; Romani, G.L.; Gambi, F. Neural correlates of negative emotion processing in bipolar disorder. Prog. Neuropsychopharmacol. Biol. Psychiatry 2015, 60, 1–10. [Google Scholar] [CrossRef] [PubMed]
  12. Gruber, J.; Kogan, A.; Mennin, D.; Murray, G. Real-world emotion? an experience-sampling approach to emotion experience and regulation in bipolar I disorder. J. Abnorm. Psychol. 2013, 122, 971–983. [Google Scholar] [CrossRef] [Green Version]
  13. Hoertnagl, C.M.; Muehlbacher, M.; Biedermann, F.; Yalcin, N.; Baumgartner, S.; Schwitzer, G.; Deisenhammer, E.A.; Hausmann, A.; Kemmler, G.; Benecke, C.; et al. Facial emotion recognition and its relationship to subjective and functional outcomes in remitted patients with bipolar I disorder. Bipolar Disord. 2011, 13, 537–544. [Google Scholar] [CrossRef]
  14. Lima, I.M.M.; Peckham, A.D.; Johnson, S.L. Cognitive deficits in bipolar disorders: Implications for emotion. Clin. Psychol. Rev. 2018, 59, 126–136. [Google Scholar] [CrossRef] [PubMed]
  15. Simonsen, C.; Sundet, K.; Vaskinn, A.; Birkenaes, A.B.; Engh, J.A.; Hansen, C.F.; Jonsdottir, H.; Ringen, P.A.; Opjordsmoen, S.; Friis, S.; et al. Neurocognitive profiles in bipolar I and bipolar II disorder: Differences in pattern and magnitude of dysfunction. Bipolar Disord. 2008, 10, 245–255. [Google Scholar] [CrossRef]
  16. Corbetta, M.; Shulman, G.L. Control of goal-directed and stimulus-driven attention in the brain. Nat. Rev. Neurosci. 2002, 3, 201–215. [Google Scholar] [CrossRef] [PubMed]
  17. Battaglia, S.; Serio, G.; Scarpazza, C.; D’Ausilio, A.; Borgomaneri, S. Frozen in (e)motion: How reactive motor inhibition is influenced by the emotional content of stimuli in healthy and psychiatric populations. Behav. Res. Ther. 2021, 146, 103963. [Google Scholar] [CrossRef]
  18. Hıdıroğlu, C.; Torres, I.J.; Er, A.; Işık, G.; Yalın, N.; Yatham, L.N.; Ceylan, D.; Özerdem, A. Response inhibition and interference control in patients with bipolar I disorder and first-degree relatives. Bipolar Disord. 2015, 17, 781–794. [Google Scholar] [CrossRef]
  19. Tsujii, N.; Mikawa, W.; Adachi, T.; Hirose, T.; Shirakawa, O. Shared and differential cortical functional abnormalities associated with inhibitory control in patients with schizophrenia and bipolar disorder. Sci. Rep. 2018, 8, 4686. [Google Scholar] [CrossRef]
  20. Borgomaneri, S.; Serio, G.; Battaglia, S. Please, don’t do it! Fifteen years of progress of non-invasive brain stimulation in action inhibition. Cortex 2020, 132, 404–422. [Google Scholar] [CrossRef]
  21. Sharp, D.J.; Bonnelle, V.; De Boissezon, X.; Beckmann, C.F.; James, S.G.; Patel, M.C.; Mehta, M.A. Distinct frontal systems for response inhibition, attentional capture, and error processing. Proc. Natl. Acad. Sci. USA 2010, 107, 6106–6111. [Google Scholar] [CrossRef] [Green Version]
  22. Battaglia, S. Neurobiological advances of learned fear in humans. Adv. Clin. Exp. Med. 2022. [Google Scholar] [CrossRef]
  23. Dixon, M.L.; Thiruchselvam, R.; Todd, R.; Christoff, K. Emotion and the prefrontal cortex: An integrative review. Psychol. Bull. 2017, 143, 1033–1081. [Google Scholar] [CrossRef] [PubMed]
  24. Kopeykina, I.; Kim, H.J.; Khatun, T.; Boland, J.; Haeri, S.; Cohen, L.J.; Galynker, I.I. Hypersexuality and couple relationships in bipolar disorder: A review. J. Affect. Disord. 2016, 195, 1–14. [Google Scholar] [CrossRef]
  25. Bőthe, B.; Tóth-Király, I.; Potenza, M.N.; Griffiths, M.D.; Orosz, G.; Demetrovics, Z. Revisiting the role of impulsivity and compulsivity in problematic sexual behaviors. J. Sex Res. 2019, 56, 166–179. [Google Scholar] [CrossRef] [Green Version]
  26. Reid, R.C.; Bramen, J.E.; Anderson, A.; Cohen, M.S. Mindfulness, emotional dysregulation, impulsivity, and stress proneness among hypersexual patients. J. Clin. Psychol. 2014, 70, 313–321. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  27. Jardin, C.; Sharp, C.; Garey, L.; Vanwoerden, S.; Crist, N.; Elhai, J.D.; Zvolensky, M.J. Compelled to risk: Does sexual compulsivity explain the connection between borderline personality disorder features and number of sexual partners? J. Pers. Disord. 2017, 31, 738–752. [Google Scholar] [CrossRef]
  28. Lloyd, M.; Raymond, N.C.; Miner, M.H.; Coleman, E. Borderline personality traits in individuals with compulsive sexual behavior. Sex Addict. Compulsivity 2007, 14, 187–206. [Google Scholar] [CrossRef]
  29. Di Nicola, M.; Tedeschi, D.; Mazza, M.; Martinotti, G.; Harnic, D.; Catalano, V.; Bruschi, A.; Pozzi, G.; Bria, P.; Janiri, L. Behavioural addictions in bipolar disorder patients: Role of impulsivity and personality dimensions. J. Affect. Disord. 2010, 125, 82–88. [Google Scholar] [CrossRef]
  30. Lew-Starowicz, M.; Lewczuk, K.; Nowakowska, I.; Kraus, S.; Gola, M. Compulsive sexual behavior and dysregulation of emotion. Sex Med. Rev. 2020, 8, 191–205. [Google Scholar] [CrossRef]
  31. Kafka, M.P. Hypersexual disorder: A proposed diagnosis for DSM-V. Arch. Sex Behav. 2010, 39, 377–400. [Google Scholar] [CrossRef]
  32. Werner, M.; Štulhofer, A.; Waldorp, L.; Jurin, T. A network approach to hypersexuality: Insights and clinical implications. J. Sex Med. 2018, 15, 373–386. [Google Scholar] [CrossRef] [PubMed]
  33. Gopin, C.B.; Burdick, K.E.; DeRosse, P.; Goldberg, T.E.; Malhotra, A.K. Emotional modulation of response inhibition in stable patients with bipolar I disorder: A comparison with healthy and schizophrenia subjects. Bipolar Disord. 2011, 13, 164–172. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  34. Soncin, S.; Brien, D.C.; Coe, B.C.; Marin, A.; Munoz, D.P. Contrasting emotion processing and executive functioning in Attention-Deficit/Hyperactivity disorder and bipolar disorder. Behav. Neurosci. 2016, 130, 531–543. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  35. Anderson, A.K. Affective influences on the attentional dynamics supporting awareness. J. Exp. Psychol. Gen. 2005, 134, 258–281. [Google Scholar] [CrossRef] [Green Version]
  36. Gross, J.J. The emerging field of emotion regulation: An integrative review. Rev. Gen. Psychol. 1998, 2, 271–299. [Google Scholar] [CrossRef]
  37. Rocca, C.C.; Heuvel, E.v.; Caetano, S.C.; Lafer, B. Facial emotion recognition in bipolar disorder: A critical review. Braz. J. Psychiatry 2009, 31, 171–180. [Google Scholar] [CrossRef] [Green Version]
  38. Cusi, A.M.; Nazarov, A.; Holshausen, K.; Macqueen, G.M.; McKinnon, M.C. Systematic review of the neural basis of social cognition in patients with mood disorders. J. Psychiatry Neurosci. 2012, 37, 154–169. [Google Scholar] [CrossRef] [Green Version]
  39. García-Blanco, A.; Salmerón, L.; Perea, M. Inhibitory control for emotional and neutral scenes in competition: An eye-tracking study in bipolar disorder. Biol. Psychol. 2017, 127, 82–88. [Google Scholar] [CrossRef] [Green Version]
  40. Ryu, V.; An, S.K.; Jo, H.H.; Cho, H.S. Decreased P3 amplitudes elicited by negative facial emotion in manic patients: Selective deficits in emotional processing. Neurosci. Lett. 2010, 481, 92–96. [Google Scholar] [CrossRef]
  41. Wang, C.; Shao, X.; Jia, Y.; Ho, R.C.; Harris, K.M.; Wang, W. Peripherally physiological responses to external emotions and their transitions in bipolar I disorder with and without hypersexuality. Arch. Sex Behav. 2020, 49, 1345–1354. [Google Scholar] [CrossRef]
  42. Helfrich, R.F.; Knight, R.T. Cognitive neurophysiology: Event-related potentials. In Handbook of Clinical Neurology; Levin, K.H., Chauvel, P., Eds.; Elsevier: Cambridge, UK, 2019; pp. 543–558. [Google Scholar]
  43. Lijffijt, M.; Lane, S.D.; Meier, S.L.; Boutros, N.N.; Burroughs, S.; Steinberg, J.L.; Gerard Moeller, F.; Swann, A.C. P50, N100, and P200 sensory gating: Relationships with behavioral inhibition, attention, and working memory. Psychophysiology 2009, 46, 1059–1068. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  44. Wascher, E.; Hoffmann, S.; Sänger, J.; Grosjean, M. Visuo-spatial processing and the N1 component of the ERP. Psychophysiology 2009, 46, 1270–1277. [Google Scholar] [CrossRef] [PubMed]
  45. Patel, S.H.; Azzam, P.N. Characterization of N200 and P300: Selected studies of the event-related potential. Int. J. Med. Sci. 2005, 2, 147–154. [Google Scholar] [CrossRef] [Green Version]
  46. Polich, J. Updating P300: An integrative theory of P3a and P3b. Clin. Neurophysiol. 2007, 118, 2128–2148. [Google Scholar] [CrossRef] [Green Version]
  47. Hirschfeld, R.M.A.; Williams, J.B.W.; Spitzer, R.L.; Calabrese, J.R.; Flynn, L.; Keck, P.E.J.; Lewis, L.; McElroy, S.L.; Post, R.M.; Rapport, D.J.; et al. Development and validation of a screening instrument for bipolar spectrum disorder: The mood disorder questionnaire. Am. J. Psychiatry 2000, 157, 1873–1875. [Google Scholar] [CrossRef]
  48. Angst, J.; Adolfsson, R.; Benazzi, F.; Gamma, A.; Hantouche, E.; Meyer, T.D.; Skeppar, P.; Vieta, E.; Scott, J. The HCL-32: Towards a self-assessment tool for hypomanic symptoms in outpatients. J. Affect. Disord. 2005, 88, 217–233. [Google Scholar] [CrossRef]
  49. Plutchik, R.; van Praag, H.M. Interconvertability of five self-report measures of depression. Psychiatry Res. 1987, 22, 243–256. [Google Scholar] [CrossRef]
  50. Lang, P.J.; Bradley, M.M.; Cuthbert, B.N. International Affective Picture System (IAPS): Affective Ratings of Pictures and Instruction Manual; Technical Report A-8; University of Florida: Gainesville, FL, USA, 2008. [Google Scholar]
  51. Bradley, M.M.; Lang, P.J. The International Affective Digitized Sounds (IADS-2): Affective Ratings of Sounds and Instruction Manual; Technical Report B-3; University of Florida: Gainesville, FL, USA, 2007. [Google Scholar]
  52. Zhang, B.; Jia, Y.; Wang, C.; Shao, X.; Wang, W. Visual event-related potentials in external emotional conditions in bipolar disorders I and II. Neurophysiol. Clin. 2019, 49, 359–369. [Google Scholar] [CrossRef]
  53. Zhang, J.; Zhao, S.; Huang, W.; Hu, S. Brain Effective Connectivity Analysis from EEG for Positive and Negative Emotion. In Neural Information Processing; Liu, D., Xie, S., Li, Y., Zhao, D., El-Alfy, E.S., Eds.; Springer International Publishing: Cham, Switzerland, 2017; pp. 851–857. [Google Scholar]
  54. Dolcos, F.; LaBar, K.S.; Cabeza, R. Dissociable effects of arousal and valence on prefrontal activity indexing emotional evaluation and subsequent memory: An event-related fMRI study. Neuroimage 2004, 23, 64–74. [Google Scholar] [CrossRef] [Green Version]
  55. Smith, K.W.; Vartanian, O.; Goel, V. Dissociable neural systems underwrite logical reasoning in the context of induced emotions with positive and negative valence. Front. Hum. Neurosci. 2014, 8, 736. [Google Scholar] [CrossRef] [Green Version]
  56. Lennox, B.R.; Jacob, R.; Calder, A.J.; Lupson, V.; Bullmore, E.T. Behavioural and neurocognitive responses to sad facial affect are attenuated in patients with mania. Psychol. Med. 2004, 34, 795–802. [Google Scholar] [CrossRef]
  57. Reid, R.C. Differentiating emotions in a sample of men in treatment for hypersexual behavior. J. Soc. Work Pract. Addict. 2010, 10, 197–213. [Google Scholar] [CrossRef]
  58. Kropf, E.; Syan, S.K.; Minuzzi, L.; Frey, B.N. From anatomy to function: The role of the somatosensory cortex in emotional regulation. Braz. J. Psychiatry 2019, 41, 261–269. [Google Scholar] [CrossRef] [Green Version]
  59. Corbetta, M.; Patel, G.; Shulman, G.L. The reorienting system of the human brain: From environment to theory of mind. Neuron 2008, 58, 306–324. [Google Scholar] [CrossRef] [Green Version]
  60. Silani, G.; Lamm, C.; Ruff, C.C.; Singer, T. Right supramarginal gyrus is crucial to overcome emotional egocentricity bias in social judgments. J. Neurosci. 2013, 33, 15466–15476. [Google Scholar] [CrossRef]
  61. Hampshire, A.; Chamberlain, S.R.; Monti, M.M.; Duncan, J.; Owen, A.M. The role of the right inferior frontal gyrus: Inhibition and attentional control. Neuroimage 2010, 50, 1313–1319. [Google Scholar] [CrossRef] [Green Version]
  62. Tabei, K. Inferior frontal gyrus activation underlies the perception of emotions, while precuneus activation underlies the feeling of emotions during music listening. Behav. Neurol. 2015, 2015, 529043. [Google Scholar] [CrossRef] [Green Version]
  63. Paunovic, N.; Hallberg, J. Conceptualization of hypersexual disorder with the behavioral-cognitive inhibition theory. Psychology 2014, 5, 151–159. [Google Scholar] [CrossRef] [Green Version]
  64. García-Blanco, A.; Salmerón, L.; Perea, M. Attentional capture by emotional scenes across episodes in bipolar disorder: Evidence from a free-viewing task. Biol. Psychol. 2015, 108, 36–42. [Google Scholar] [CrossRef]
  65. Lembke, A.; Ketter, T.A. Impaired recognition of facial emotion in mania. Am. J. Psychiatry 2002, 159, 302–304. [Google Scholar] [CrossRef]
  66. Kozlovskiy, S.A.; Pyasik, M.M.; Korotkova, A.V.; Vartanov, A.V.; Glozman, J.M.; Kiselnikov, A.A. Activation of left lingual gyrus related to working memory for schematic faces. Int. J. Psychophysiol. 2014, 94, 241. [Google Scholar] [CrossRef]
  67. Ochsner, K.N.; Gross, J.J. The cognitive control of emotion. Trends Cogn. Sci. 2005, 9, 242–249. [Google Scholar] [CrossRef]
  68. Talati, A.; Hirsch, J. Functional specialization within the medial frontal gyrus for perceptual go/no-go decisions based on “what,” “when,” and “where” related information: An fMRI study. J. Cogn. Neurosci. 2014, 17, 981–993. [Google Scholar] [CrossRef]
  69. Mruczek, R.E.B.; Sheinberg, D.L. Activity of inferior temporal cortical neurons predicts recognition choice behavior and recognition time during visual search. J. Neurosci. 2007, 27, 2825–2836. [Google Scholar] [CrossRef]
  70. Begemann, M.J.; Brand, B.A.; Ćurčić-Blake, B.; Aleman, A.; Sommer, I.E. Efficacy of non-invasive brain stimulation on cognitive functioning in brain disorders: A meta-analysis. Psychol. Med. 2020, 50, 2465–2486. [Google Scholar] [CrossRef]
  71. Schulz, R.; Gerloff, C.; Hummel, F.C. Non-invasive brain stimulation in neurological diseases. Neuropharmacology 2013, 64, 579–587. [Google Scholar] [CrossRef]
  72. Yamada, Y.; Inagawa, T.; Hirabayashi, N.; Sumiyoshi, T. Emotion Recognition Deficits in Psychiatric Disorders as a Target of Non-invasive Neuromodulation: A Systematic Review. Clin. EEG Neurosci. 2021, 1550059421991688. [Google Scholar] [CrossRef]
  73. Borgomaneri, S.; Battaglia, S.; Garofalo, S.; Tortora, F.; Avenanti, A.; di Pellegrino, G. State-Dependent TMS over Prefrontal Cortex Disrupts Fear-Memory Reconsolidation and Prevents the Return of Fear. Curr. Biol. 2020, 30, 3672–3679.e4. [Google Scholar] [CrossRef]
  74. Borgomaneri, S.; Battaglia, S.; Sciamanna, G.; Tortora, F.; Laricchiuta, D. Memories are not written in stone: Re-writing fear memories by means of non-invasive brain stimulation and optogenetic manipulations. Neurosci. Biobehav. Rev. 2021, 127, 334–352. [Google Scholar] [CrossRef]
Figure 1. Timeline of events in the oddball paradigm. Participants were instructed to respond to a circle picture (target stimulus) as quickly as possible by pressing a button with their right index finger, and to do nothing to the square picture (standard stimulus) or emotional scenes (taking Neutral as an example). Note: +, fixation cross representing the beginning of the paradigm.
Figure 1. Timeline of events in the oddball paradigm. Participants were instructed to respond to a circle picture (target stimulus) as quickly as possible by pressing a button with their right index finger, and to do nothing to the square picture (standard stimulus) or emotional scenes (taking Neutral as an example). Note: +, fixation cross representing the beginning of the paradigm.
Brainsci 12 00441 g001
Figure 2. Grand averages of ERPs elicited by target under external emotional condition of Erotica at nine electrodes in the healthy volunteers (dashed line; n = 54), bipolar I disorder patients with (thick line; n = 27) and without (thin line; n = 26) hypersexuality.
Figure 2. Grand averages of ERPs elicited by target under external emotional condition of Erotica at nine electrodes in the healthy volunteers (dashed line; n = 54), bipolar I disorder patients with (thick line; n = 27) and without (thin line; n = 26) hypersexuality.
Brainsci 12 00441 g002
Figure 3. N1 latencies under Erotica and Happiness (left graph), and P3b amplitudes under Fear and Sadness (right graph) at Cz in healthy volunteers (Controls, n = 54), bipolar I disorder patients with (BW, n = 27) and without (BO, n = 26) hypersexuality. Notes: a, p < 0.05 versus controls; b, p < 0.05 versus BW.
Figure 3. N1 latencies under Erotica and Happiness (left graph), and P3b amplitudes under Fear and Sadness (right graph) at Cz in healthy volunteers (Controls, n = 54), bipolar I disorder patients with (BW, n = 27) and without (BO, n = 26) hypersexuality. Notes: a, p < 0.05 versus controls; b, p < 0.05 versus BW.
Brainsci 12 00441 g003
Figure 4. Source map of N1 (time window: 70~200 ms) to the target stimuli under Erotica in healthy volunteers (A), bipolar I disorder patients with (B) and without (C) hypersexuality (generated by xjView 10.0 (http://www.alivelearn.net/xjview (accessed on 18 February 2022)). Left panels show sources overlaid on a glass brain; Right panels show sources overlaid on a T1 template brain. The red arrowheads and blue cross hairs indicate source regions of peak intensity in the three groups were the right supramarginal gyrus, left postcentral gyrus, and right medial frontal gyrus, respectively. Notes: SMG (B), bilateral supramarginal gyri; LG (B), bilateral lingual gyri; IFG (L), left inferior frontal gyrus; PCG (L), left postcentral gyrus, SMG (R), right supramarginal gyri; IFG (R), right inferior frontal gyrus; MFG (B): bilateral medial frontal gyri; ITG (R), right inferior temporal gyrus. The bar in each panel on the right side indicates the intensity of cerebral activities, with white as the highest and black the lowest.
Figure 4. Source map of N1 (time window: 70~200 ms) to the target stimuli under Erotica in healthy volunteers (A), bipolar I disorder patients with (B) and without (C) hypersexuality (generated by xjView 10.0 (http://www.alivelearn.net/xjview (accessed on 18 February 2022)). Left panels show sources overlaid on a glass brain; Right panels show sources overlaid on a T1 template brain. The red arrowheads and blue cross hairs indicate source regions of peak intensity in the three groups were the right supramarginal gyrus, left postcentral gyrus, and right medial frontal gyrus, respectively. Notes: SMG (B), bilateral supramarginal gyri; LG (B), bilateral lingual gyri; IFG (L), left inferior frontal gyrus; PCG (L), left postcentral gyrus, SMG (R), right supramarginal gyri; IFG (R), right inferior frontal gyrus; MFG (B): bilateral medial frontal gyri; ITG (R), right inferior temporal gyrus. The bar in each panel on the right side indicates the intensity of cerebral activities, with white as the highest and black the lowest.
Brainsci 12 00441 g004aBrainsci 12 00441 g004b
Figure 5. Relationship between P3a amplitude (Cz) under Erotica and the Plutchik–van Praag Depression Inventory (PVP) score in bipolar I disorder patients with hypersexuality.
Figure 5. Relationship between P3a amplitude (Cz) under Erotica and the Plutchik–van Praag Depression Inventory (PVP) score in bipolar I disorder patients with hypersexuality.
Brainsci 12 00441 g005
Table 1. Mental health symptoms, reaction times, and response accuracies to target stimuli (mean ± SD) in the healthy volunteers (Controls, n = 54), bipolar I disorder patients with (BW, n = 27) and without (BO, n = 26) hypersexuality.
Table 1. Mental health symptoms, reaction times, and response accuracies to target stimuli (mean ± SD) in the healthy volunteers (Controls, n = 54), bipolar I disorder patients with (BW, n = 27) and without (BO, n = 26) hypersexuality.
ControlsBWBO
MDQ5.61 ± 3.199.74 ± 1.70 a9.12 ± 1.45 a
HCL-3215.91 ± 3.4222.48 ± 2.47 a21.77 ± 1.53 a
PVP13.30 ± 6.6211.52 ± 7.1212.08 ± 6.26
Reaction time (ms)
under Disgust489.45 ± 85.85501.94 ± 57.37517.96 ± 104.08
under Erotica516.68 ± 99.59541.12 ± 69.88536.45 ± 117.45
under Fear496.19 ± 83.93536.20 ± 88.27531.39 ± 105.95
under Happiness489.81 ± 82.42516.56 ± 60.61513.74 ± 100.08
under Neutral489.06 ± 84.97532.34 ± 83.78512.94 ± 112.24
under Sadness498.96 ± 88.48513.14 ± 66.33539.83 ± 111.03
Response accuracy (%)
under Disgust94.18 ± 7.0097.04 ± 2.9793.61 ± 7.67
under Erotica97.23 ± 5.6294.32± 12.6797.22 ± 5.70
under Fear97.59 ± 5.9397.04 ± 6.3696.53 ± 9.55
under Happiness95.46 ± 13.0596.42 ± 8.1699.17 ± 2.25
under Neutral98.30 ± 3.6096.05 ± 7.9098.75 ± 2.37
under Sadness98.08 ± 4.9595.06 ± 11.8297.36 ± 3.68
Notes: a, p < 0.05 versus controls; MDQ, The Mood Disorder Questionnaire; HCL-32, The Hypomania Checklist-32; PVP, The Plutchik–van Praag Depression Inventory.
Table 2. N1 latencies (mean ± S.D.) under Erotica and Happiness and P3b amplitudes under Fear and Sadness in the healthy volunteers (Controls, n = 54), bipolar I disorder patients with (BW, n = 27) and without (BO, n = 26) hypersexuality.
Table 2. N1 latencies (mean ± S.D.) under Erotica and Happiness and P3b amplitudes under Fear and Sadness in the healthy volunteers (Controls, n = 54), bipolar I disorder patients with (BW, n = 27) and without (BO, n = 26) hypersexuality.
ControlsBWBO95% CI
Control-BWControl-BOBW-BO
N1 latency (ms)
EroticaF3115.59 ± 21.74136.36 ± 30.50 a115.50 ± 21.89 b−34.69~−6.86−14.00~14.184.65~37.09
Fz112.60 ± 20.29131.84 ± 30.09 a113.54 ± 24.65 b−33.08~−5.40−14.95~13.082.17~34.43
F4117.02 ± 22.49135.10 ± 30.48 a118.09 ± 22.52 b−32.27~−3.89−15.44~13.300.47~33.55
C3116.00 ± 23.88138.71 ± 30.39 a113.81 ± 24.16 b−37.46~−7.96−12.74~17.147.71~42.11
Cz114.34 ± 22.00136.76 ± 28.96 a113.24 ± 22.21 b−36.17~−8.67−12.83~15.027.49~39.55
C4123.33 ± 25.81139.69 ± 29.40 a119.06 ± 27.50 b−31.94~−0.79−11.51~20.042.47~38.78
P3130.15 ± 30.46142.80 ± 28.71123.08 ± 26.04 b−29.30~3.99−9.79~23.920.32~39.12
Pz120.43 ± 27.84139.87 ± 27.90 a124.81 ± 23.13−34.81~−4.07−19.94~11.19−2.86~32.98
P4130.85 ± 26.04144.32 ± 25.28130.14 ± 25.51−28.22~1.28−14.23~15.65−3.02~31.37
HappinessF3122.07 ± 19.91138.39 ± 26.40 a130.26 ± 25.47−29.54~−3.10−21.76~5.37−7.44~23.69
Fz120.88 ± 19.58134.63 ± 29.30 a127.06 ± 24.80−27.29~−0.21−20.08~7.71−8.38~23.51
F4119.95 ± 21.91142.48 ± 23.73 a131.20 ± 26.77−36.05~−8.99−25.13~2.64−4.66~27.20
C3120.50 ± 23.36133.54 ± 28.15130.97 ± 27.00−27.68~1.59−25.49~4.55−14.66~19.81
Cz120.64 ± 21.22132.53 ± 29.17126.51 ± 25.52−25.78~2.01−20.13~8.39−10.35~22.38
C4121.49 ± 23.75137.56 ± 28.23 a134.01 ± 23.30−30.32~−1.81−27.15~2.11−13.25~20.33
P3129.27 ± 27.59140.09 ± 34.08132.84 ± 25.38−27.40~5.75−20.59~13.44−12.27~26.76
Pz127.82 ± 24.53135.67 ± 32.15131.79 ± 25.11−23.22~7.51−19.73~11.80−14.20~21.98
P4134.24 ± 30.23145.19 ± 30.88140.30 ± 23.59−27.58~5.69−23.13~11.01−14.70~24.47
P3b amplitude (μv)
FearF32.30 ± 2.661.90 ± 2.804.55 ± 4.53 a,b−1.45~2.25−4.15~−0.35−4.83~−0.47
Fz2.69 ± 3.081.47 ± 4.145.55 ± 5.24 a,b−1.04~3.49−5.18~−0.54−6.75~−1.42
F42.68 ± 2.661.93 ± 2.555.06 ± 4.88 a,b−1.14~2.64−4.32~−0.45−5.36~−0.91
C33.10 ± 3.392.51 ± 3.496.17 ± 5.04 a,b−1.62~2.81−5.34~−0.80−6.27~−1.05
Cz3.78 ± 4.072.60 ± 3.507.14 ± 6.25 a,b−1.43~3.79−6.05~−0.69−7.62~−1.47
C43.31 ± 3.222.50 ± 3.115.69 ±4.88 a,b−1.28~2.91−4.52~−0.22−5.65~−0.72
P32.07 ± 3.691.72 ± 3.065.65 ± 5.62 a,b−1.20~2.69−5.99~−1.17−6.69~−1.17
Pz2.55 ± 4.041.97 ± 4.596.55 ± 6.42 a,b−2.19~3.35−6.84~−1.16−7.84~−1.32
P41.92 ± 3.261.43 ± 2.884.85 ± 4.73 a,b−1.56~2.54−5.04~−0.83−5.84~−1.01
SadnessF33.90 ± 4.103.04 ± 2.765.25± 3.95−1.30~3.02−3.56~0.87−4.75~0.34
Fz4.21 ± 4.732.62 ± 2.295.50 ± 4.65 b−0.84~4.01−3.78~1.20−5.73~−0.02
F43.87 ± 4.152.87 ± 2.135.71 ± 4.25 b−1.17~3.16−4.06~0.38−5.38~−0.29
C34.60 ± 4.783.23 ± 2.636.33 ± 4.04 b−1.02~3.75−4.18~0.72−5.91~−0.29
Cz5.34 ± 5.633.57 ± 2.517.28 ± 5.05 b−1.03~4.57−4.81~0.94−7.01~−0.41
C44.31 ± 4.823.60 ± 3.165.51 ± 5.43−1.94~3.36−3.92~1.52−5.03~1.21
P33.33 ± 4.132.43 ± 2.945.36 ± 4.49 b−1.38~3.16−4.37~0.30−5.60~−0.25
Pz3.55 ± 4.362.72 ± 2.896.56 ± 5.17 a,b−1.61~3.27−5.51~−0.50−6.71~−0.96
P42.95 ± 4.022.52 ± 2.754.57 ± 3.92−1.70~2.56−3.81~0.57−4.56~0.46
Notes: a, p < 0.05 versus controls; b, p < 0.05 versus BW; 95% CI, 95% confidence interval.
Table 3. Putative N1 and P3b generators in the N1 and P3b time windows in healthy volunteers (Controls, n = 54), bipolar I disorder patients with (BW, n = 27) and without (BO, n = 26) hypersexuality.
Table 3. Putative N1 and P3b generators in the N1 and P3b time windows in healthy volunteers (Controls, n = 54), bipolar I disorder patients with (BW, n = 27) and without (BO, n = 26) hypersexuality.
ComponentGroupSource Region
Erotica under N1 (70~200 ms)Controlssupramarginal gyri (B) (Parietal Lobe) *
lingual gyri (B) (Occipital Lobe)
inferior frontal gyrus (L) (Frontal Lobe)
BWpostcentral gyrus (L) (Parietal Lobe) *
supramarginal gyrus (R) (Parietal Lobe)
inferior frontal gyrus (R) (Frontal Lobe)
BOmedial frontal gyri (B) (Frontal Lobe) *
inferior temporal gyrus (R) (Temporal Lobe)
Happiness under N1 (70~200 ms)Controlsinferior temporal gyrus (R) (Temporal Lobe) *
BWinferior frontal gyri (B) (Frontal Lobe) *
BOsuperior frontal gyrus (L) (Frontal Lobe) *
Fear under P3b (400~580 ms)Controlsinferior occipital gyrus (R) (Occipital Lobe) *
BWlingual gyri (B) (Occipital Lobe) *
BOmedial frontal gyri (B) (Frontal Lobe) *
inferior temporal gyrus (R) (Temporal Lobe)
Sadness under P3b (400~580 ms)Controlsmedial frontal gyri (B) (Frontal Lobe) *
inferior frontal gyrus (L) (Frontal Lobe)
inferior temporal gyrus (R) (Temporal Lobe)
superior frontal gyrus (R) (Frontal Lobe)
BWmedial frontal gyrus (L) (Frontal Lobe) *
BOinferior frontal gyrus (L) (Frontal Lobe) *
Notes: *, source regions of peak intensity under different emotional stimuli in three groups; L, only the left side was activated; R, only the right side was activated; B, bilateral sides were activated.
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Wang, C.; Rimol, L.M.; Wang, W. Visual Event-Related Potentials under External Emotional Stimuli in Bipolar I Disorder with and without Hypersexuality. Brain Sci. 2022, 12, 441. https://doi.org/10.3390/brainsci12040441

AMA Style

Wang C, Rimol LM, Wang W. Visual Event-Related Potentials under External Emotional Stimuli in Bipolar I Disorder with and without Hypersexuality. Brain Sciences. 2022; 12(4):441. https://doi.org/10.3390/brainsci12040441

Chicago/Turabian Style

Wang, Chu, Lars M. Rimol, and Wei Wang. 2022. "Visual Event-Related Potentials under External Emotional Stimuli in Bipolar I Disorder with and without Hypersexuality" Brain Sciences 12, no. 4: 441. https://doi.org/10.3390/brainsci12040441

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop