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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.

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All Articles (11,030)

  • Article
  • Open Access

Introduction: Cognitive impairment (CI) is highly prevalent in patients with end-stage renal disease (ESRD) undergoing hemodialysis and is associated with increased morbidity and mortality. Although altered cerebral blood flow (CBF) and disrupted functional connectivity (FC) have been independently reported in ESRD, whether neurovascular alterations mechanistically contribute to CI remains unclear. We aim to investigate whether abnormalities in CBF and FC mediate CI in ESRD patients undergoing hemodialysis. Methods: Patients with ESRD receiving maintenance hemodialysis and matched healthy controls (HCs) underwent arterial spin labeling (ASL) to quantify CBF and resting-state functional magnetic resonance imaging (rs-fMRI) to assess FC. Cognitive performance was evaluated using the adjusted Montreal Cognitive Assessment (MoCA). Between-group differences in regional CBF and whole-brain FC were analyzed. Mediation models were constructed to examine whether altered FC mediated the association between regional CBF and cognitive performance. Results: ESRD patients demonstrated significantly increased standardized CBF (zCBF) predominantly within default mode network (DMN)-related regions compared with HCs. Higher normalized zCBF values in the right posterior cingulate gyrus (PCG.R) and left precuneus were observed in patients with CI and were negatively correlated with MoCA scores. Whole-brain FC analyses revealed decreased connectivity between DMN nodes and limbic structures, particularly reduced connectivity between the PCG.R and left amygdala in the ESRD-CI group. Mediation analysis showed that FC partially mediated the association between regional CBF alterations and MoCA scores, with the FC between the right posterior cingulate gyrus and left amygdala accounting for 35.7% of the total effect. Conclusions: These findings reveal a significant association between altered cerebral hemodynamic patterns, characterized by increased regional zCBF and impaired functional integration within DMN-limbic circuits, and cognitive dysfunction in ESRD patients undergoing hemodialysis. Although the cross-sectional design precludes definitive causal inferences, the observed mediation patterns suggest a potential relationship linking cerebral hemodynamic alterations, functional connectivity changes, and cognitive decline. These findings may guide future longitudinal and interventional investigations to further clarify these relationships.

Brain Sci.

8 November 2026

Post hoc analysis of altered standardized cerebral blood flow (zCBF) in study groups (Bonferroni correction, p < 0.05). Box plots with each value plotted as a dot represent the 25 percentiles, the mean (square), the median (line), and the 75 percentiles, and the whiskers extend to 1.5 times the interquartile range. * p < 0.05. ESRD-CI, end-stage renal disease with CI; ESRD-NCI, end-stage renal disease with no CI; HC, healthy control; IFGoperc.R, opercular portion of the right inferior frontal gyrus; PCG.R, right posterior cingulate gyrus; HIP.L, left hippocampus; PHG.L, left parahippocampal gyrus; LING.L, left lingual gyrus; PCUN.L, left precuneus; ITG.R, right inferior temporal gyrus.
  • Article
  • Open Access

Background/Objectives: This study examined whether swimming experience is associated with better sensorimotor control in water by comparing joint position sense, cortical activity, and subjective workload across training backgrounds and environments. Methods: Thirty-six participants (12 swimmers, 12 Chinese Wushu (Wushu) athletes, and 12 untrained individuals) performed continuous shoulder and elbow joint-position-reproduction tasks on land and in water. Joint-angle errors, resting-state and task-related α- and β-band EEG power, and NASA Task Load Index scores were assessed using cluster-based permutation tests and mixed analyses of variance with multiple-comparison correction. Results: Environment affected left-elbow absolute error (p = 0.0015) and constant error at all four joints (all corrected p ≤ 0.0028), without a swimming-specific accuracy advantage. Wushu athletes had lower signed left-shoulder and left-elbow constant errors than swimmers. Swimmers showed a greater water–land increase in resting-state α power than untrained participants before right-side tasks (Holm-adjusted p = 0.0048). Task-related α desynchronization was weaker in water during left-shoulder and left-elbow tasks; no corrected training-related effects emerged for task-related α or β power. Physical demand and perceived performance showed group × environment interactions (both corrected p = 0.0458); swimmers reported lower physical demand than untrained participants in water. Conclusions: Swimming experience was associated with distinct pre-task resting-state α responses, but not better joint-position accuracy or distinct task-related cortical activity modulation. Long-term training in different environments appeared to reduce the physical demand of sensorimotor tasks performed in the familiar environment. These findings provide limited support for swimming-specific sensorimotor advantages in water.

Brain Sci.

8 November 2026

Experimental procedure flowchart. Upon arrival, participants first memorized the target joint angles and subsequently completed the left- and right-upper-limb tests in a randomized order. At the beginning of each limb test, 120 s of resting-state data were recorded. During the land-based condition, participants sat quietly on a chair, whereas during the water-based condition, they remained still and relaxed in the water. After the resting-state recording, participants performed shoulder and elbow flexion–extension tasks in a randomized order. Each task lasted 150 s, during which joint-angle and EEG data were recorded. Participants were instructed to reproduce the target joint positions as accurately as possible while moving at a constant speed. After data collection, the NASA Task Load Index (NASA-TLX) was administered to assess the subjective workload associated with task performance in each task environment (on land, in water).
  • Article
  • Open Access

Background: Mirror therapy is widely used in stroke rehabilitation, yet its immediate task-related cortical responses remain incompletely characterized. We used functional near-infrared spectroscopy (fNIRS) to characterize cortical hemodynamic responses during a mirror task in patients with stroke. Methods: Fifty-one stroke patients with upper limb dysfunction were recruited. Participants performed both a mirror task and a control task, while hemodynamic changes in regions of interest were simultaneously recorded using a 43-channel fNIRS device. General linear model (GLM) analysis was used to compare differences in activation intensity between the mirror task and control task in the cortical regions of interest. Results: Compared with the control task, the mirror task significantly activated 10 channels: CH2, CH3, CH5, CH9, CH11, CH19, CH24, CH25, CH32, and CH33. The activated brain regions were concentrated in the bilateral premotor cortex/supplementary motor area (PMC/SMA), ipsilesional supramarginal gyrus (SMG), ipsilesional primary somatosensory cortex (S1), and contralesional primary motor cortex (M1). Conclusions: The mirror task elicited greater activation than the control task across a distributed cortical network involving bilateral PMC/SMA, ipsilesional SMG/S1, and contralesional M1 in patients with stroke. These findings demonstrate that fNIRS can objectively characterize task-related cortical hemodynamic responses during mirror tasks and provide a basis for future studies linking these cortical response patterns to rehabilitation outcomes.

Brain Sci.

7 November 2026

Block experiment design schematic diagram. The shaded blocks represent the baseline and rest periods, whereas the unshaded blocks represent movement periods.
  • Article
  • Open Access

Background/Objectives: Sleep–wake states strongly influence seizure susceptibility, but the circuit mechanisms linking arousal regulation to seizure burden in chronic temporal lobe epilepsy (TLE) remain unclear. This study investigated whether hypothalamic orexin neurons regulate sleep architecture, spontaneous seizures, and epileptic network activity in a kainic acid (KA)-induced chronic TLE model in male mice. Methods: Continuous video-EEG/EMG recordings were used to quantify sleep–wake states, circadian seizure distribution, and seizure burden. Orexin neurons were bidirectionally manipulated in KA-treated Hcrt-Cre mice using Cre-dependent hM3Dq or hM4Di chemogenetic tools. Orexin receptor 1 signaling was pharmacologically blocked with SB334867. Power spectral density and phase–amplitude coupling analyses were performed across wakefulness, non-rapid eye movement sleep, and rapid eye movement sleep. Results: Spontaneous seizures occurred predominantly during wakefulness and non-rapid eye movement sleep, with no seizures observed during rapid eye movement sleep. Seizure occurrence was greater during the dark phase and remained higher during wakefulness after correction for state occupancy. Chemogenetic activation of orexin neurons increased wakefulness, reduced sleep, and increased seizure count and total seizure duration, whereas chemogenetic inhibition produced opposite effects. SB334867 promoted sleep and reduced seizure count and total seizure duration. Chronic KA mice showed state-dependent spectral remodeling and enhanced delta–high-gamma coupling, which was partially attenuated by SB334867 during non-rapid eye movement and rapid eye movement sleep. Conclusions: These findings suggest that orexin signaling is associated with sleep–wake regulation, abnormal network coupling, and seizure burden in chronic TLE. Modulating orexin signaling may represent a potential direction for future therapeutic investigation aimed at improving sleep disruption and reducing seizure burden.

Brain Sci.

7 November 2026

Sleep-wake state and circadian distribution of spontaneous seizures in chronic KA-induced TLE mice. (A) Distribution of seizure events across the 24 h cycle for individual mice. Each labeled group represents one mouse, with repeated 24 h recordings shown as separate horizontal subrows. Dot position indicates clock time and recording trial, and dot size is proportional to seizure duration. Orange dots indicate seizures occurring during W, and blue dots indicate seizures occurring during NREM. The open circle indicates a seizure duration of 150 s. Light yellow and purple backgrounds indicate the light and dark phases, respectively. The black arrow indicates the representative NREM seizure shown in panel B. (B) Representative electrocorticographic trace and corresponding time–frequency spectrogram of a seizure occurring during NREM sleep. The black line indicates seizure duration. (C) Distribution of seizures across the light and dark phases. The p value was determined using the exact binomial test. (D) Circular distribution of seizure onset time across the 24 h cycle using 1 h bins. The p value was determined using Rayleigh circular statistics. The red vector indicates the mean phase direction. (E) Total time spent in W, NREM, and REM over 24 h in sham and KA mice. (F) Seizure rate after correction for time spent in each state. (G) REM duration across consecutive 1 h bins over the 24 h recording period in sham and KA mice. Lines indicate group means, and shaded areas indicate SEM. Asterisks indicate significant between-group differences after correction for multiple comparisons. (H) Correlation between mean REM duration and mean seizure count across consecutive 1 h bins. Each point represents the mean REM duration and mean seizure count calculated for one 1 h bin across animals. The Spearman correlation coefficient was ρ = −0.47, with p = 0.019. Data in panel E are shown as mean ± SEM. Statistical tests and significance are indicated in the panels. * p < 0.05, ** p < 0.01, *** p < 0.001. sham n = 9; KA n = 10.

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Brain Sci. - ISSN 2076-3425