Journal Description
Brain Sciences
Brain Sciences
is an international, peer-reviewed, open access journal on neuroscience published monthly online by MDPI. The British Neuro-Oncology Society (BNOS) and Panhellenic Federation of Alzheimer's Disease and Related Disorders (PFADRD) are affiliated with Brain Sciences and their members receive a discount on article processing charges.
- Open Access— free for readers, with article processing charges (APC) paid by authors or their institutions.
- High Visibility: indexed within Scopus, SCIE (Web of Science), PubMed, PMC, Embase, PSYNDEX, PsycInfo, CAPlus / SciFinder, and other databases.
- Rapid Publication: manuscripts are peer-reviewed and a first decision is provided to authors approximately 16.2 days after submission; acceptance to publication is undertaken in 1.9 days (median values for papers published in this journal in the first half of 2025).
- Recognition of Reviewers: reviewers who provide timely, thorough peer-review reports receive vouchers entitling them to a discount on the APC of their next publication in any MDPI journal, in appreciation of the work done.
- Journal Cluster of Neurosciences: Brain Sciences, Neurology International, NeuroSci, Clinical and Translational Neuroscience, Neuroglia, Psychiatry International, Clocks & Sleep and Journal of Dementia and Alzheimer's Disease.
Impact Factor:
2.8 (2024);
5-Year Impact Factor:
3.1 (2024)
Latest Articles
TARPγ2-Derived Peptide Enhances Early-Phase Long-Term Potentiation and Impairs Memory Retention in Male Rats
Brain Sci. 2025, 15(8), 881; https://doi.org/10.3390/brainsci15080881 (registering DOI) - 18 Aug 2025
Abstract
Background/Objectives: Disruption of AMPAR trafficking at excitatory synapses contributes to impaired synaptic plasticity and memory formation in several neurological and psychiatric disorders. Arc, an immediate early gene product, has been shown to interact with the AMPAR auxiliary subunit TARPγ2, affecting receptor mobility
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Background/Objectives: Disruption of AMPAR trafficking at excitatory synapses contributes to impaired synaptic plasticity and memory formation in several neurological and psychiatric disorders. Arc, an immediate early gene product, has been shown to interact with the AMPAR auxiliary subunit TARPγ2, affecting receptor mobility and synaptic stabilization. Methods: To investigate the in vivo functional effects and protein interactions of the Arc-TARPγ2 interfering peptide RIPSYR, we performed in vivo electrophysiology and spatial memory assessments in male rats. as well as proteomic analyses of peptide-protein interactions in synaptosome lysates. We then used in silico docking to evaluate candidate binding partners. Results: In the present study, in vivo electrophysiological measurements revealed that RIPSYR administration altered early-phase long-term potentiation at CA3 synapses of male rats. Subsequent behavioral testing that assessed spatial memory performance revealed depleted memory retrieval after 24 h, indicating that the peptide has a systemic effect on experience-dependent plasticity. Then, we examined the molecular interactome of RIPSYR using magnetic bead-based immunoprecipitation and subsequent LC-MS identification on synaptosome lysates, and identified additional candidate binding partners, suggesting that the peptide may have broader modulatory effects. RIPSYR binding to the other putative binding partners are investigated by in silico methods. Conclusion: Our results raise the question of how the molecular interactions of RIPSYR contribute to its sum effects on electrophysiology and behavior.
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(This article belongs to the Section Behavioral Neuroscience)
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Open AccessArticle
Resolution of Lipopolysaccharide-Induced Inflammation Followed by DNA Hypomethylation and Increased Tetrahydrobiopterin Biosynthesis in Mouse Hippocampus
by
Jennyffer Souza, Debora da Luz Scheffer, Alexandre Francisco Solano, Samantha Veloso, Luisa Cruz, Rodrigo Foganholi-Silva and Alexandra Latini
Brain Sci. 2025, 15(8), 880; https://doi.org/10.3390/brainsci15080880 (registering DOI) - 18 Aug 2025
Abstract
Background: Robust evidence supports the role of tetrahydrobiopterin (BH4) metabolism in sustaining inflammation; however, the mechanisms underlying the persistent upregulation of the BH4 pathway remain incompletely understood. This study investigated the epigenetic regulation of BH4 metabolism following a single injection of lipopolysaccharide
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Background: Robust evidence supports the role of tetrahydrobiopterin (BH4) metabolism in sustaining inflammation; however, the mechanisms underlying the persistent upregulation of the BH4 pathway remain incompletely understood. This study investigated the epigenetic regulation of BH4 metabolism following a single injection of lipopolysaccharide (LPS) in the mouse hippocampus. Methods: Male C57BL/6J mice received either saline or LPS (0.33 mg/kg, i.p.) and were sacrificed at 4 h or 24 h post injection. Behavioral assessments and analyses of hippocampal neurotransmitter metabolism, DNA methylation profile, oxidative stress, and inflammasome activation were performed. Neopterin levels, a marker of immune system activation, were measured in both the plasma and hippocampus. Results: LPS-treated mice exhibited sickness behavior, including reduced locomotor and exploratory activity at both 4 and 24 h. While exploratory behavior showed partial recovery by 24 h, locomotor activity remained impaired. Neopterin levels increased in both the plasma and hippocampus following LPS administration but returned to baseline in the hippocampus by 24 h. Despite the normalization of neopterin, a persistent pro-inflammatory state in the hippocampus was evident at 24 h, as shown by increased expression of Ikbkb and components of the NLRP3 inflammasome, along with elevated oxidative stress markers. Upregulation of Nrf-2 and Hmox1 suggested activation of a protective antioxidant response. Dopaminergic metabolism was disrupted, indicating impaired BH4-dependent dopamine turnover. Epigenetic analysis revealed increased expression of DNA methyltransferases (Dnmt1, Dnmt3a, Dnmt3b) and Tet2, along with reduced expression of Tet1 and Tet3. Promoter hypomethylation of Gch1 and Ptps was observed, correlating with increased hippocampal expression and potentially elevated BH4 levels. Conclusions: Together, these findings show that a single LPS challenge was sufficient to induce the activation of the BH4 synthesis pathway during the late acute inflammatory phase, both systemically and in the hippocampus, potentially driven by epigenetic modifications such as promoter hypomethylation. This may contribute to the perpetuation of neuroinflammation.
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(This article belongs to the Special Issue Toxic Mechanisms and Emerging Therapeutic Strategies in Brain Disorders)
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Open AccessArticle
Juggling the Limits of Lucidity: Searching for Cognitive Constraints in Lucid Dream Motor Practice: 4 Case Reports
by
Emma Peters, Clarita Bonamino, Kathrin Fischer and Daniel Erlacher
Brain Sci. 2025, 15(8), 879; https://doi.org/10.3390/brainsci15080879 (registering DOI) - 18 Aug 2025
Abstract
Background/Objectives: Lucid dreaming (LD), during which the dreamer becomes aware of the dream state, offers a unique opportunity for a variety of applications, including motor practice, personal well-being, and nightmare therapy. However, these applications largely depend on the dreamer’s ability to control their
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Background/Objectives: Lucid dreaming (LD), during which the dreamer becomes aware of the dream state, offers a unique opportunity for a variety of applications, including motor practice, personal well-being, and nightmare therapy. However, these applications largely depend on the dreamer’s ability to control their dreams. While LD research has traditionally focused on induction techniques to increase dream frequency, the equally important skill of dream control remains largely underexplored. This study provides an exploration into the mechanisms of LD motor practice, dream control, and its potential influencing factors. We specifically examined whether a complex motor skill—juggling—could be performed during LD, calling for relatively high levels of dream control and access to procedural memory. Methods: Four healthy participants underwent overnight polysomnography (PSG), provided detailed dream reports, and completed questionnaires assessing dream control and self-efficacy. Dream-task success was assessed using predefined in-dream motor performance criteria. Differences between high and low LD control participants were examined, and two detailed case reports of lucid dream juggling attempts provide insight into the challenges of executing complex motor tasks during LD. Results: Dream control varied between and within participants. Both dream control and self-efficacy seemed to predict participants’ ability to execute the LD motor task. Conclusions: Despite the low sample size, this study highlights the potential roles of individual traits like self-efficacy in shaping dream control abilities and motor performance during LD. By using empirical, task-based measures, this study helps build the foundation for future research aimed at optimizing LD applications in clinical and non-clinical fields.
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(This article belongs to the Special Issue Lucid Dreaming and Psychophysiological Correlates of States of Consciousness)
Open AccessArticle
Spoonerism Beyond Language: A Multi-Componential Perspective on Phonological Awareness
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Francesco Benso, Noemi Mazzoni, Carlo Chiorri, Eleonora Ardu, Paola Venuti and Angela Pasqualotto
Brain Sci. 2025, 15(8), 878; https://doi.org/10.3390/brainsci15080878 (registering DOI) - 18 Aug 2025
Abstract
Background: Reading difficulties are closely linked to phonological awareness (PA), though PA tasks vary in complexity and cognitive demands. Recent research suggests that dyslexia reflects multiple cognitive risk factors, aligned with multi-level models of reading and recent theories of complex modularity. These models
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Background: Reading difficulties are closely linked to phonological awareness (PA), though PA tasks vary in complexity and cognitive demands. Recent research suggests that dyslexia reflects multiple cognitive risk factors, aligned with multi-level models of reading and recent theories of complex modularity. These models propose that different tasks engage different cognitive modules depending on their structure, according to a dynamic and graded organization. Methods: This study investigates cognitive functions that predict performance on a complex PA task (spoonerism) in 115 fourth-grade Italian students. Results: The results indicate that: (1) dividing the sample into high- and low-performing groups in verbal working memory (alpha span test) and visuospatial working memory (object updating task) revealed that students with lower working memory capacity performed significantly worse on the spoonerism task—underscoring the importance of general working memory for this type of activity; (2) Gaussian graphical models showed that spoonerism performance was strongly associated with the object updating task (r = 0.47) and the alpha span test (r = 0.33), confirming a close link between this phonological task and general working memory. Conclusions: These findings support the view that complex PA tasks depend on a broader set of cognitive systems beyond phonological processing. They align with theories of dynamic modularity, which propose that modularity arises from task demands, not fixed anatomical constraints. In children, the involvement of executive attention suggests that such tasks are not yet automatized but rely on central cognitive control. Understanding this complexity is crucial for interpreting reading performance and developing targeted, multi-componential interventions.
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(This article belongs to the Section Developmental Neuroscience)
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Open AccessArticle
A Multi-Branch Network for Integrating Spatial, Spectral, and Temporal Features in Motor Imagery EEG Classification
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Xiaoqin Lian, Chunquan Liu, Chao Gao, Ziqian Deng, Wenyang Guan and Yonggang Gong
Brain Sci. 2025, 15(8), 877; https://doi.org/10.3390/brainsci15080877 (registering DOI) - 18 Aug 2025
Abstract
Background: Efficient decoding of motor imagery (MI) electroencephalogram (EEG) signals is essential for the precise control and practical deployment of brain-computer interface (BCI) systems. Owing to the complex nonlinear characteristics of EEG signals across spatial, spectral, and temporal dimensions, efficiently extracting multidimensional
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Background: Efficient decoding of motor imagery (MI) electroencephalogram (EEG) signals is essential for the precise control and practical deployment of brain-computer interface (BCI) systems. Owing to the complex nonlinear characteristics of EEG signals across spatial, spectral, and temporal dimensions, efficiently extracting multidimensional discriminative features remains a key challenge to improving MI-EEG decoding performance. Methods: To address the challenge of capturing complex spatial, spectral, and temporal features in MI-EEG signals, this study proposes a multi-branch deep neural network, which jointly models these dimensions to enhance classification performance. The network takes as inputs both a three-dimensional power spectral density tensor and two-dimensional time-domain EEG signals and incorporates four complementary feature extraction branches to capture spatial, spectral, spatial-spectral joint, and temporal dynamic features, thereby enabling unified multidimensional modeling. The model was comprehensively evaluated on two widely used public MI-EEG datasets: EEG Motor Movement/Imagery Database (EEGMMIDB) and BCI Competition IV Dataset 2a (BCIIV2A). To further assess interpretability, gradient-weighted class activation mapping (Grad-CAM) was employed to visualize the spatial and spectral features prioritized by the model. Results: On the EEGMMIDB dataset, it achieved an average classification accuracy of 86.34% and a kappa coefficient of 0.829 in the five-class task. On the BCIIV2A dataset, it reached an accuracy of 83.43% and a kappa coefficient of 0.779 in the four-class task. Conclusions: These results demonstrate that the network outperforms existing state-of-the-art methods in classification performance. Furthermore, Grad-CAM visualizations identified the key spatial channels and frequency bands attended to by the model, supporting its neurophysiological interpretability.
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(This article belongs to the Section Neurotechnology and Neuroimaging)
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Open AccessArticle
Investigating Foreign Language Vocabulary Recognition in Children with ADHD and Autism with the Use of Eye Tracking Technology
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Georgia Andreou and Ariadni Argatzopoulou
Brain Sci. 2025, 15(8), 876; https://doi.org/10.3390/brainsci15080876 (registering DOI) - 18 Aug 2025
Abstract
Background: Neurodivergent students, including those with Autism Spectrum Disorder (ASD) and Attention Deficit/Hyperactivity Disorder (ADHD), frequently encounter challenges in several areas of foreign language (FL) learning, including vocabulary acquisition. This exploratory study aimed to investigate real-time English as a Foreign Language (EFL) word
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Background: Neurodivergent students, including those with Autism Spectrum Disorder (ASD) and Attention Deficit/Hyperactivity Disorder (ADHD), frequently encounter challenges in several areas of foreign language (FL) learning, including vocabulary acquisition. This exploratory study aimed to investigate real-time English as a Foreign Language (EFL) word recognition using eye tracking within the Visual World Paradigm (VWP). Specifically, it examined whether gaze patterns could serve as indicators of successful word recognition, how these patterns varied across three distractor types (semantic, phonological, unrelated), and whether age and vocabulary knowledge influenced visual attention during word processing. Methods: Eye-tracking data were collected from 17 children aged 6–10 years with ADHD or ASD while they completed EFL word recognition tasks. Analyses focused on gaze metrics across target and distractor images to identify percentile-based thresholds as potential data-driven markers of recognition. Group differences (ADHD vs. ASD) and the roles of age and vocabulary knowledge were also examined. Results: Children with ADHD exhibited increased fixations on phonological distractors, indicating higher susceptibility to interference, whereas children with ASD demonstrated more distributed attention, often attracted by semantic cues. Older participants and those with higher vocabulary scores showed more efficient gaze behavior, characterized by increased fixations on target images, greater attention to relevant stimuli, and reduced attention to distractors. Conclusions: Percentile-based thresholds in gaze metrics may provide useful markers of word recognition in neurodivergent learners. Findings underscore the importance of differentiated instructional strategies in EFL education for children with ADHD and ASD. The study further supports the integration of eye tracking with behavioral assessments to advance understanding of language processing in atypical developmental contexts.
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(This article belongs to the Special Issue Eye-Tracking Monitoring of Neurological and Psychiatric Conditions Across Life Span)
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Open AccessSystematic Review
The Relationship Between Physical Activity and Depression in College Students: A Systematic Review and Meta-Analysis
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Xiaorui Huang, Zhuying Chen, Ze Xu, Xiaojie Liu, Yuanyuan Lv and Laikang Yu
Brain Sci. 2025, 15(8), 875; https://doi.org/10.3390/brainsci15080875 (registering DOI) - 18 Aug 2025
Abstract
Objectives: Depression is a significant and growing global concern with substantial societal impact. College students, being particularly vulnerable to depression, necessitate exploration of physical activity (PA) as a potential mitigating factor. This study aims to examine the relationship between PA and depression
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Objectives: Depression is a significant and growing global concern with substantial societal impact. College students, being particularly vulnerable to depression, necessitate exploration of physical activity (PA) as a potential mitigating factor. This study aims to examine the relationship between PA and depression in college students. Methods: Studies were identified through systematic searches of PubMed, Embase, Cochrane, Scopus, and Web of Science. The Pearson correlation coefficient was utilized to assess the PA–depression relationship. Heterogeneity was evaluated, and subgroup analyses were performed. Sensitivity analysis via the leave-one-out method was conducted. Quality assessment was assessed using the Joanna Briggs Institute literature quality assessment approach, resulting in the inclusion of 38 high-quality, low-risk studies. Results: A significant negative correlation between PA and depression was found (r = −0.238; 95% CI, −0.307 to −0.173; p < 0.001). Subgroup analyses revealed notable PA–depression correlations post-COVID-19 (r = −0.324; 95% CI, −0.493 to −0.132; p < 0.001), in developing countries (r = −0.202; 95% CI, −0.213 to −0.191; p < 0.001), and in physical education majors (r = −0.390; 95% CI, −0.589 to −0.147; p < 0.001). Moderate PA levels were associated with reduced depression (r = −0.428; 95% CI, −0.708 to −0.031; p = 0.035). Conclusions: This systematic review and meta-analysis suggests that PA is significantly and negatively associated with depression and plays a crucial role in alleviating depression in college students. Various influences, including the pandemic, national development level, student major, and PA intensity, moderate this relationship. Post-pandemic, developing countries, physical education majors, and moderate PA intensity emerged as optimal factors for enhancing the depression-alleviating effects of PA.
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(This article belongs to the Special Issue Unraveling the Role of Physical Activity in Brain, Cognition, and Mental Health)
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Open AccessArticle
Effects of Age on the Neural Tracking of Speech in Noise
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HyunJung An, JeeWon Lee, Young-jin Park, Myung-Whan Suh and Yoonseob Lim
Brain Sci. 2025, 15(8), 874; https://doi.org/10.3390/brainsci15080874 (registering DOI) - 16 Aug 2025
Abstract
Background: Older adults often struggle to comprehend speech in noisy environments, a challenge influenced by declines in both auditory processing and cognitive functions. This study aimed to investigate how differences in speech-in-noise perception among individual with clinically normal hearing thresholds (ranging from normal
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Background: Older adults often struggle to comprehend speech in noisy environments, a challenge influenced by declines in both auditory processing and cognitive functions. This study aimed to investigate how differences in speech-in-noise perception among individual with clinically normal hearing thresholds (ranging from normal to mild hearing loss in older adults) are related to neural speech tracking and cognitive function, particularly working memory. Method: Specifically, we examined delta (1–4 Hz) and theta (4–8 Hz) EEG oscillations during speech recognition tasks to determine their association with cognitive performance in older adults. EEG data were collected from 23 young adults (20–35 years) and 23 older adults (65–80 years). Cognitive assessments were administered to older adults, and both groups completed an EEG task involving speech recognition in Speech-Shaped Noise (SSN) at individualized noise levels based on their Sentence Recognition Scores (SRS). Results: The results showed that age significantly impacted hit rates and reaction times in noisy speech recognition tasks. Theta-band neural tracking was notably stronger in older adults, while delta-band tracking showed no age-related difference. Pearson’s correlations indicated significant associations between age-related cognitive decline, reduced hearing sensitivity, and Mini-Mental State Examination (MMSE) scores. Regression analyses showed that theta-band neural tracking at specific SRS levels significantly predicted word list recognition in the higher SRT group, while constructional recall was strongly predicted in the lower SRT group. Conclusions: These findings suggest that older adults may rely on theta-band neural tracking as a compensatory mechanism. However, regression results alone were not sufficient to fully explain how working memory affects neural tracking, and additional cognitive and linguistic factors should be considered in future studies. Furthermore, cognitive assessments were administered only to older adults, which limits the ability to determine whether group differences are driven by age, hearing, or cognitive status—a major limitation that should be addressed in future research.
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(This article belongs to the Section Cognitive, Social and Affective Neuroscience)
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Open AccessArticle
The Effectiveness of an Exercise Program Based on Motor Learning Principles for the Correction of the Forward Head Posture: A Randomized Controlled Trial
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Stephani Argyrou, Pavlos Kitixis, Zacharias Dimitriadis, Anna Christakou, Nikolaos Strimpakos, George Paras, Maria Tsioutsoumaka and Eleni Kapreli
Brain Sci. 2025, 15(8), 873; https://doi.org/10.3390/brainsci15080873 - 15 Aug 2025
Abstract
Background/Objectives: The aim of this study was to examine the effectiveness of an exercise program based on principles of motor learning with cognitive elements (such as attention) in the correction of Forward Head Posture (FHP). Methods: A total of 55 university students
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Background/Objectives: The aim of this study was to examine the effectiveness of an exercise program based on principles of motor learning with cognitive elements (such as attention) in the correction of Forward Head Posture (FHP). Methods: A total of 55 university students from the University of Thessaly, aged between 18 and 25 years, participated in this study. Volunteers found to have a craniovertebral angle <50° were randomly divided into two groups: the intervention group IG (n = 27) and the control group CG (n = 28). The IG followed a treatment protocol consisting of three 30–45-min sessions per week for four weeks, a total of twelve sessions, while the control group received the same content instructions and group sessions upon completion. Results: After the four-week intervention period, significant improvements were observed in both static and dynamic craniovertebral angle measurements (p < 0.05) when comparing the IG to the CG. Additionally, there was a notable increase in the endurance of the deep neck flexors (p < 0.05), even though the intervention for the IG did not include specific strength exercises. Furthermore, participants with FHP were able to transfer (B–C) motor skills (p < 0.01) acquired during static position tasks to a similar but dynamically untrained task. They also retained (B–D) improvements in posture and strength during the two-week detraining period (p < 0.01), indicating sustained motor learning effects. Conclusions: The exercise intervention was successful at decreasing FHP in subjects, sustaining the results for a two-week period. This study supports the effectiveness of postural training by a program based on motor learning principles. New rehabilitation strategies based on motor control and motor learning could be introduced into physiotherapy practice to increase effectiveness.
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(This article belongs to the Special Issue Neuromuscular Diseases and Musculoskeletal Disorders)
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Open AccessArticle
B7-H3 as a Reliable Diagnostic Biomarker for the Differentiation of High-Grade Gliomas (HGGs) and Low-Grade Gliomas (LGGs)
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Fatima Juković-Bihorac, Slaviša Đuričić, Emir Begagić, Hakija Bečulić, Alma Efendić, Semir Vranić and Mirza Pojskić
Brain Sci. 2025, 15(8), 872; https://doi.org/10.3390/brainsci15080872 - 15 Aug 2025
Abstract
Background/Objectives: This study aimed to evaluate the diagnostic and prognostic utility of B7-H3 expression in differentiating low-grade gliomas (LGGs) from high-grade gliomas (HGGs) and to examine its association with clinical outcomes. Methods: This retrospective study included 99 patients with histopathologically confirmed gliomas (42
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Background/Objectives: This study aimed to evaluate the diagnostic and prognostic utility of B7-H3 expression in differentiating low-grade gliomas (LGGs) from high-grade gliomas (HGGs) and to examine its association with clinical outcomes. Methods: This retrospective study included 99 patients with histopathologically confirmed gliomas (42 LGGs and 57 HGGs). B7-H3 expression was assessed using immunohistochemistry and scored by immunoreactive score (IRS). Results: B7-H3 expression was significantly higher in HGG compared to LGG (p < 0.001). The total IRS (B7-H3 A × B) demonstrated strong discriminative power (AUC = 0.816). High B7-H3 expression independently predicted disease progression (OR = 4.9, 95% CI: 2.4–10.1; p < 0.001) and was associated with IDH wild-type status and elevated Ki-67 index. Patients with high B7-H3 had significantly shorter overall survival (median 6 months vs. 42 months) and progression-free survival (median 3 months vs. 25 months) (both p < 0.001). Cox regression confirmed high B7-H3 as an independent predictor of mortality (HR = 2.9, 95% CI: 1.7–4.7; p < 0.001) and progression (HR = 2.6, 95% CI: 1.6–4.2; p < 0.001). Conclusions: B7-H3 expression is a reliable biomarker for distinguishing HGG from LGG and is independently associated with worse survival outcomes. Its assessment may aid in glioma classification and prognostication.
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(This article belongs to the Special Issue Editorial Board Collection Series: Advances in Neuro-Oncology)
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Open AccessArticle
Preliminary Results from an RCT Examining the Effects of a Health Behavior Intervention as an Adjunct to Standard Trauma Therapy Among Adults with PTSD
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Jeffrey L. Kibler, Karla Patricia Molina Valenzuela, Shalynn Murphy, Claudia Ocholski, Dania Dabbagh, Valeria Rangel Cunha and Mindy Ma
Brain Sci. 2025, 15(8), 871; https://doi.org/10.3390/brainsci15080871 - 15 Aug 2025
Abstract
Background/Objectives: Individuals with posttraumatic stress disorder (PTSD) tend to show patterns of elevated cardiovascular disease (CVD) risk earlier in life than the general population. The need for effective interventions for CVD risk-reduction in PTSD is increasingly evident. In this paper we present preliminary
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Background/Objectives: Individuals with posttraumatic stress disorder (PTSD) tend to show patterns of elevated cardiovascular disease (CVD) risk earlier in life than the general population. The need for effective interventions for CVD risk-reduction in PTSD is increasingly evident. In this paper we present preliminary results from a longitudinal study of a health behavior intervention, as an adjunct to standard trauma therapy in PTSD. The health behavior intervention addresses CVD-related heath behaviors (physical activity, nutrition, sleep, and stress) in a 12-week program delivered individually in 90-min sessions. Behavior change recommendations included: increased aerobic activity; establishing a balanced diet, enhancing consumption of fruits and vegetables and reducing sugars and fat/saturated fat; incorporating strategies to enhance sleep and lower PTSD-related disruptions (e.g., nightmares); and relaxation and cognitive coping skills to reduce general stress. Methods: Participants were randomized to the health behavior intervention plus standard trauma therapy experimental condition or a standard trauma therapy control group. Outcomes were measured at baseline and after the 12-week intervention phase. Sleep efficiency was measured from actigraphy watches. Physical activity was assessed by self-report and blood pressure was measured using an automated device. The preliminary outcomes are for 29 participants to date who have pre-post data. Results: Sleep efficiency was improved in the intervention group compared to controls (p < 0.05). The intervention group also evidenced significant pre-post increases in moderate physical activity compared to the control group (p < 0.05). Changes in vigorous physical activity did not reach statistical significance in this preliminary sample but the pattern of results are similar to those for moderate activity. Trends toward significance were also observed for pre-post changes in systolic (p = 0.06) and diastolic blood pressure (p = 0.07), with small reductions for the intervention group and increases for the control group. Conclusions: These findings provide preliminary information about the effectiveness of the health behavior intervention on multiple parameters for adults with PTSD. The findings suggest that focusing on health behavior change in multidisciplinary treatments for PTSD may enhance outcomes such as sleep and physical activity and potentially result in greater quality of life. However, the small preliminary sample size reported here should be considered when interpreting the outcomes. Further research may also determine how improvements in health parameters impact other indices of long-term cardiovascular health.
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(This article belongs to the Topic Exercise and Nutrition for Physical Performance, Mental Health and General Well-Being)
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Open AccessReview
Spiking Neural Models of Neurons and Networks for Perception, Learning, Cognition, and Navigation: A Review
by
Stephen Grossberg
Brain Sci. 2025, 15(8), 870; https://doi.org/10.3390/brainsci15080870 - 15 Aug 2025
Abstract
This article reviews and synthesizes highlights of the history of neural models of rate-based and spiking neural networks. It explains that theoretical and experimental results about how all rate-based neural network models, whose cells obey the membrane equations of neurophysiology, also called shunting
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This article reviews and synthesizes highlights of the history of neural models of rate-based and spiking neural networks. It explains that theoretical and experimental results about how all rate-based neural network models, whose cells obey the membrane equations of neurophysiology, also called shunting laws, can be converted into spiking neural network models without any loss of explanatory power, and often with gains in explanatory power. These results are relevant to all the main brain processes, including individual neurons and networks for perception, learning, cognition, and navigation. The results build upon the hypothesis that the functional units of brain processes are spatial patterns of cell activities, or short-term-memory (STM) traces, and spatial patterns of learned adaptive weights, or long-term-memory (LTM) patterns. It is also shown how spatial patterns that are learned by spiking neurons during childhood can be preserved even as the child’s brain grows and deforms while it develops towards adulthood. Indeed, this property of spatiotemporal self-similarity may be one of the most powerful properties that individual spiking neurons contribute to the development of large-scale neural networks and architectures throughout life.
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(This article belongs to the Special Issue Neuromorphic Artificial Intelligence and Its Applications: Retrospective and Prospective)
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Open AccessArticle
Tinnitus and Cognition in the Elderly: Unraveling the Impact of Symptom Burden on Cognitive Decline
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Sarah Alshehri and Abdulaziz Abdulrahman S. Al Hatem
Brain Sci. 2025, 15(8), 869; https://doi.org/10.3390/brainsci15080869 - 15 Aug 2025
Abstract
Background/Objectives: Tinnitus has been increasingly recognized not only as an auditory disturbance but also as a condition that is potentially linked to cognitive decline, particularly in older adults. However, the relationship between tinnitus characteristics and cognitive impairment remains underexplored in clinical settings. This
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Background/Objectives: Tinnitus has been increasingly recognized not only as an auditory disturbance but also as a condition that is potentially linked to cognitive decline, particularly in older adults. However, the relationship between tinnitus characteristics and cognitive impairment remains underexplored in clinical settings. This study aimed to (1) evaluate the association between chronic tinnitus and cognitive function in adults aged 60 years and above using standardized tools, and (2) determine whether tinnitus severity and duration are associated with increased risk of cognitive impairment. Methods: A cross-sectional study was conducted among 240 older adults, divided into tinnitus (n = 120) and non-tinnitus (n = 120) groups. Cognitive function was assessed using the Mini-Cog (0–5) and SPMSQ (0–10) tools. Tinnitus severity and duration were evaluated using the Tinnitus Handicap Inventory (THI), Visual Analogue Scale (VAS), and duration categories. Results: Participants with tinnitus were significantly older and had higher rates of hearing loss (58.33% vs. 33.33%, p = 0.001), depression (37.50% vs. 18.33%, p = 0.002), and poor sleep quality (51.67% vs. 31.67%, p = 0.003). Mini-Cog and SPMSQ scores were significantly lower in the tinnitus group (2.87 ± 1.14 vs. 3.52 ± 1.06; 6.95 ± 1.42 vs. 8.02 ± 1.18; both p < 0.001). Tinnitus presence, longer duration, and higher severity were independently associated with cognitive impairment. Each 10-point increase in THI score increased the odds of impairment by 45% (OR = 1.45, p < 0.001). Conclusions: Tinnitus burden, particularly when severe and prolonged, is significantly associated with cognitive impairment in older adults. These findings highlight the need for cognitive screening and integrated management in this population.
Full article
(This article belongs to the Special Issue Risk Factors for Tinnitus and Tinnitus-Related Disease)
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Open AccessArticle
The Association Between Indoor Air Pollutants and Brain Structure Indicators Using eTIV-Adjusted and Unadjusted Models: A Study in Seoul and Incheon
by
Sun-Min An and Ho-Hyun Kim
Brain Sci. 2025, 15(8), 868; https://doi.org/10.3390/brainsci15080868 - 14 Aug 2025
Abstract
Background/Objectives: As older adults spend increasing amounts of time indoors, concerns are rising about the neurological effects of indoor air pollution. This study examined associations between indoor air pollutants and structural brain changes in community-dwelling older adults in Seoul and Incheon, South Korea.
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Background/Objectives: As older adults spend increasing amounts of time indoors, concerns are rising about the neurological effects of indoor air pollution. This study examined associations between indoor air pollutants and structural brain changes in community-dwelling older adults in Seoul and Incheon, South Korea. A purposive sample of 23 individuals aged ≥65 years was recruited. Internet of Things (IoT)-based devices were installed in participants’ homes to continuously monitor indoor concentrations of PM10, PM2.5, and CO2 for over two months. All participants underwent 3T brain magnetic resonance imaging (MRI), and brain structure metrics were analyzed using multiple linear regression models with and without adjustment for estimated total intracranial volume (eTIV). Hierarchical clustering was also performed based on exposure and neuroanatomical characteristics. Brain MRI indicators included cortical surface area, cortical thickness in six regions, and volumes of seven subcortical structures including the hippocampus and amygdala. Higher CO2 concentrations were significantly associated with lower hippocampal volumes in both hemispheres (left: −2.83, −0.88, −1.02 mm3; right: −3.29, −0.86, −0.99 mm3; p ≤ 0.05). Elevated PM2.5 levels were associated with reduced bilateral amygdala volume (−283.24 mm3 left; −292.37 mm3 right) and right hippocampal volume (−544.55 mm3; p ≤ 0.05). Cluster analysis showed that, before eTIV adjustment, Group C exhibited the lowest subcortical volumes. After adjustment, Group A showed the smallest cortical surface area, and Group D had the lowest subcortical volumes. These findings suggest that indoor air pollutants, including PM10, PM2.5, and CO2, may be associated with structural brain alterations in older adults, supporting the need for age-specific indoor air quality standards and residential monitoring systems.
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(This article belongs to the Section Environmental Neuroscience)
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Losing Your Sense of Smell: It Can Be Worse than Imagined. Comment on Becht et al. Losing Your Sense of Smell: How Bad Is It?—A Comparative Study on the Personal Importance of Smell. Brain Sci. 2025, 15, 218
by
Alexander Wieck Fjaeldstad and Thomas Hummel
Brain Sci. 2025, 15(8), 867; https://doi.org/10.3390/brainsci15080867 - 14 Aug 2025
Abstract
Becht et al [...]
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(This article belongs to the Section Sensory and Motor Neuroscience)
Open AccessArticle
Exploring Links Between Lexical Representations and Cognitive Skills in School-Aged Children with High-Functioning Autism Spectrum Disorder
by
Vasiliki Zarokanellou, Alexandros Gryparis and Katerina Papanikolaou
Brain Sci. 2025, 15(8), 866; https://doi.org/10.3390/brainsci15080866 - 14 Aug 2025
Abstract
Background/Objectives: The study aimed to investigate how cognitive variables (performance IQ, verbal short-term memory, working memory, and ADHD symptomatology) impact lexical representations in children with high-functioning autism spectrum disorder (HF-ASD). Methods: Participants were two groups (n1 = n2 = 20) of
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Background/Objectives: The study aimed to investigate how cognitive variables (performance IQ, verbal short-term memory, working memory, and ADHD symptomatology) impact lexical representations in children with high-functioning autism spectrum disorder (HF-ASD). Methods: Participants were two groups (n1 = n2 = 20) of monolingual Greek-speaking children, aged 7 to 12 years, with and without HF-ASD matched in age, gender, and cognitive skills. Results: Overall, the HF-ASD group had more immature lexical representations than the control group, even though the two groups were similar in naming. In both groups, naming was correlated moderately with verbal short-term memory but only age predicted significantly semantic knowledge. In the ASD group, a bilateral predictive relationship was revealed between output motor programming skills and stored phonological knowledge, supporting theoretical assumptions of the psycholinguistic model of speech. Finally, a different pattern of interrelations was observed between cognitive and lexical variables in the two groups. Conclusions: The findings of the current study indicate that ASD children may map and process new vocabulary differently compared to typically developing peers.
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(This article belongs to the Special Issue Recent Advances in Assessment and Rehabilitation of Communication and Language Disorders: Enhancing Innovations, Neuromodulation and AI)
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AI-Enhanced Transcriptomic Discovery of Druggable Targets and Repurposed Therapies for Huntington’s Disease
by
Rodrigo Pinheiro Araldi, João Rafael Dias Pinto and Irina Kerkis
Brain Sci. 2025, 15(8), 865; https://doi.org/10.3390/brainsci15080865 - 14 Aug 2025
Abstract
Huntington’s disease (HD) is an autosomal dominant neurodegenerative disorder characterized by progressive motor dysfunction, psychiatric disturbances, and cognitive decline. The pathophysiology of HD centers on a polyglutamine expansion in the huntingtin protein, which triggers widespread transcriptional dysregulation, impaired proteostasis, mitochondrial dysfunction, and excitotoxic
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Huntington’s disease (HD) is an autosomal dominant neurodegenerative disorder characterized by progressive motor dysfunction, psychiatric disturbances, and cognitive decline. The pathophysiology of HD centers on a polyglutamine expansion in the huntingtin protein, which triggers widespread transcriptional dysregulation, impaired proteostasis, mitochondrial dysfunction, and excitotoxic neuronal loss—most prominently within the striatum and cortex. Despite decades of research, disease-modifying therapies remain elusive. This review synthesizes how the emerging integration of translational bioinformatics, spotlighting artificial intelligence-driven transcriptomic analyses, has identified transcriptional signatures correlating with disease progression and therapeutic response. These integrative approaches hold promise for accelerating the bench-to-bedside translation of HD therapeutics, positioning AI-powered discovery as a frontier for overcoming the complexity of neurodegeneration.
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(This article belongs to the Section Computational Neuroscience, Neuroinformatics, and Neurocomputing)
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Histopathological Changes of the Corticospinal Tract Following Hemorrhagic and Ischemic Stroke
by
Sarolta Kollai, Dániel Bereczki, Balázs Dobi, Tibor Glasz and Tibor Kovács
Brain Sci. 2025, 15(8), 864; https://doi.org/10.3390/brainsci15080864 - 13 Aug 2025
Abstract
Previous data on the time course of corticospinal tract (CST) degeneration after stroke are scarce, especially in the early phase. Using post-mortem histomorphological and immunohistochemical methods, CST degeneration (its temporal dynamics and its association with stroke type) was investigated in the medulla oblongata
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Previous data on the time course of corticospinal tract (CST) degeneration after stroke are scarce, especially in the early phase. Using post-mortem histomorphological and immunohistochemical methods, CST degeneration (its temporal dynamics and its association with stroke type) was investigated in the medulla oblongata pyramids in twenty-two cases: nine patients with ischemic stroke and eleven with hemorrhagic stroke and two patients with very long survival after multiple strokes. CD68 and neurofilament immunohistochemistry and Klüver–Barrera staining were applied to assess microglial activation and axonal and myelin degeneration, respectively, and statistical methods were used to investigate the relationship between microglial density, stroke type, and survival time. Strong microglial activation starts on day 3 after stroke and increases over time, with the first signs of axon degeneration and myelin degradation observed from day 7 after stroke. Histological changes and their temporal dynamics do not differ between hemorrhagic and ischemic stroke. Our results show that myelin degeneration starts earlier than previously suggested and is observed almost simultaneously with axon degeneration, whereas microglial activation increases steadily from day 3 onwards in both ischemic and hemorrhagic stroke.
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(This article belongs to the Section Molecular and Cellular Neuroscience)
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Open AccessArticle
Olfactory-Guided Behavior Uncovers Imaging and Molecular Signatures of Alzheimer’s Disease Risk
by
Hae Sol Moon, Zay Yar Han, Robert J. Anderson, Ali Mahzarnia, Jacques A. Stout, Andrei R. Niculescu, Jessica T. Tremblay and Alexandra Badea
Brain Sci. 2025, 15(8), 863; https://doi.org/10.3390/brainsci15080863 - 13 Aug 2025
Abstract
Background/Objectives: Olfactory impairment has been proposed as an early marker for Alzheimer’s disease (AD), yet the mechanisms linking sensory decline to genetic and environmental risk factors remain unclear. We aimed to identify early biomarkers and brain network alterations associated with AD risk by
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Background/Objectives: Olfactory impairment has been proposed as an early marker for Alzheimer’s disease (AD), yet the mechanisms linking sensory decline to genetic and environmental risk factors remain unclear. We aimed to identify early biomarkers and brain network alterations associated with AD risk by multimodal analyses in humanized APOE mice. Methods: We evaluated olfactory behavior, diffusion MRI connectomics, and brain and blood transcriptomics in mice stratified by APOE2, APOE3, and APOE4 genotypes, age, sex, high-fat diet, and immune background (HN). Behavioral assays assessed odor salience, novelty detection, and memory. Elastic Net-regularized multi-set canonical correlation analysis (MCCA) was used to link behavior to brain connectivity. Blood transcriptomics and gene ontology analyses identified peripheral molecular correlates. Results: APOE4 mice exhibited accelerated deficits in odor-guided behavior and memory, especially under high-fat diet, while APOE2 mice were more resilient (ANOVA: APOE x HN, F(2, 1669) = 77.25, p < 0.001, eta squared = 0.08). Age and diet compounded behavioral impairments (diet x age: F(1, 1669) = 16.04, p < 0.001). Long-term memory was particularly reduced in APOE4 mice (APOE x HN, F(2,395) = 5.6, p = 0.004). MCCA identified subnetworks explaining up to 24% of behavioral variance (sum of canonical correlations: 1.27, 95% CI [1.18, 1.85], p < 0.0001), with key connections involving the ventral orbital and somatosensory cortices. Blood eigengene modules correlated with imaging changes (e.g., subiculum diffusivity: r = −0.5, p < 1 × 10−30), and enriched synaptic pathways were identified across brain and blood. Conclusions: Olfactory behavior, shaped by genetic and environmental factors, may serve as a sensitive, translatable biomarker of AD risk. Integrative systems-level approaches reveal brain and blood signatures of early sensory–cognitive vulnerability, supporting new avenues for early detection and intervention in AD.
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(This article belongs to the Special Issue Olfactory System and Brain Diseases: Investigating the Related Structures, Neurocircuits, and Functional Mechanisms)
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Juvenile Lesions of the Cerebellar Fastigial Nucleus Cause Lasting Cognitive Deficits and Prefrontal Cortex Dysfunction in Adult Rats: Implications for the Cerebellar Cognitive Affective Syndrome
by
Franziska Maria Decker, Jonas Jelinek, Franck Fogaing Kamgaing, Mesbah Alam, Shadi Al-Afif, Joachim K. Krauss, Kerstin Schwabe and Elvis J. Hermann
Brain Sci. 2025, 15(8), 862; https://doi.org/10.3390/brainsci15080862 - 13 Aug 2025
Abstract
Background/Objectives: Cerebellar cognitive affective syndrome (CCAS) is a well-recognized postoperative complication in children following resection of brain tumors involving cerebellar midline structures. The fastigial nucleus is regarded as relevant, but the underlying neural mechanisms remain incompletely understood. This study uses an oddball paradigm
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Background/Objectives: Cerebellar cognitive affective syndrome (CCAS) is a well-recognized postoperative complication in children following resection of brain tumors involving cerebellar midline structures. The fastigial nucleus is regarded as relevant, but the underlying neural mechanisms remain incompletely understood. This study uses an oddball paradigm designed to model attentional and learning processes relevant to CCAS to investigate how early-life lesions of the fastigial nucleus in rats affect cognitive performance and neural information processing in the medial prefrontal cortex (mPFC) in adulthood. Methods: Fastigial lesions were induced stereotaxically in 23-day-old male Sprague Dawley rats [n = 9]. Naïve [n = 9] and sham-lesioned rats [n = 6] served as controls. As adults, all rats were trained in an oddball paradigm requiring discrimination of a rare target tone from a rare distractor and a frequent standard tone. Local field potentials (LFPs) were recorded from electrodes implanted in the mPFC during oddball testing and event-related potentials (ERPs) were analyzed. Results: Rats with fastigial lesions required significantly more training days to reach ≥70% correct performance criterion. In fully trained rats, analysis of neural recordings during behavioral testing revealed reduced ERP amplitudes and prolonged latencies of late ERP components after target stimuli. Developmental fastigial lesions lead to lasting deficits in cognitive learning capacity and neural mPFC processing, highlighting the integrative role of cerebellar midline structures in higher-order cognitive function and sensory discrimination. Conclusions: This rodent model provides a valuable translational platform for further investigating the neural basis of CCAS and may inform neurosurgical strategies aimed at minimizing cognitive sequelae in children undergoing cerebellar tumor resection.
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(This article belongs to the Section Cognitive, Social and Affective Neuroscience)
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