Results 201 to 210 of about 63,144 (227)

Motor Fiber Tract Changes Following iTBS Stimulation in a Basal Ganglia Stroke Patient: A Case Report

Clinical Case Reports, Volume 14, Issue 1, January 2026.
ABSTRACT This case report describes the application of intermittent theta‐burst stimulation (iTBS) targeting the cerebellum in a 46‐year‐old female patient with basal ganglia infarction. Following a 2‐week intervention, enhanced corticospinal tract connectivity and contralateral compensatory fiber reorganization in specific brain regions were observed.
Lei Xi, Qian Liu, Yuzhe Zou, Xue Yang, Liqing Yao   +4 more
wiley   +1 more source

Neuroimaging and Transcriptomic Insights Into Iron Accumulation and Glymphatic Dysfunction in Olfactory Dysfunction

CNS Neuroscience &Therapeutics, Volume 32, Issue 1, January 2026.
Exploring iron accumulation and lymphatic function can assess the expression and change of neurotoxins in olfactory dysfunction (OD). This study further combines transcriptome analysis to demonstrate the biological pathways linked to neurotoxins, offering new insights into OD's neurobiology.
Chantat Leong, Jixin Luan, Ruisi Wang, Manxi Xu, Hongwei Yu, Li Zhu, Ni Shu, Gaoxiang Ouyang, Hui Xia, Guolin Ma, Zhen Yuan   +10 more
wiley   +1 more source

Altered Functional Specialization and Interhemispheric Coordination in Rhegmatogenous Retinal Detachment: Associations With Gene Expression, Neurotransmitter Receptor Distribution, and SVM–SHAP Classification

CNS Neuroscience &Therapeutics, Volume 32, Issue 1, January 2026.
Autonomy Index (AI) and Connective Flexibility of Homotopic voxels (CFH) were derived from resting‐state fMRI data following standard preprocessing. These functional metrics were computed based on the AAL90 atlas to characterize intrinsic activity and interhemispheric coordination patterns in RRD patients.
Yu Ji, Yuan‐Yuan Wang, Xiao‐Rong Wu
wiley   +1 more source

Differences in the Efficacy of Cognitive Function Treatment Related to Functional Patterns in the Frontal‐Limbic Network in Patients With Bipolar Disorder

CNS Neuroscience &Therapeutics, Volume 32, Issue 1, January 2026.
Graphical Abstract of Differences in the Efficacy of Cognitive Function Treatment Related to Functional Patterns in the Frontal‐Limbic Network in Patients with Bipolar Disorder. ABSTRACT Background This study aimed to identify neurobiomarkers that predict the efficacy of treatment of cognition in patients with bipolar disorder (BD).
Sujuan Li, Yangpan Ou, Haiping Liu, Qianyu Dong, Yan Qiu, Ziwei Teng, Hui Tang, Hui Xiang, Guowei Wu, Jindong Chen, Bolun Wang, Lutao Jiang, Haishan Wu   +12 more
wiley   +1 more source

Altered Brain Function and Network Topology in Patients With Acromegaly: Resting‐State fMRI Study of Networks Related to Cognitive and Emotional Processing

CNS Neuroscience &Therapeutics, Volume 32, Issue 1, January 2026.
Patients with acromegaly show disrupted brain function and network connectivity, particularly in the default mode and frontal–parietal networks. This study reveals how excess GH and IGF‐1 alter brain activity, offering new insights into the neurobiological mechanisms underlying cognitive decline in acromegaly.
Zerui Wu, Xuejie Yu, Yingyue Zhang, Jinming Yang, Qilin Zhang, Shun Yao, Xuefei Shou, Xiang Zhou, Yongfei Wang, Hao Li, Liguo Jia, Yifei Yu, Weiwei Wang, Zengyi Ma, Wenqiang He   +14 more
wiley   +1 more source

Structural Connectivity Disruption and Structural–Functional Decoupling in Working Memory Networks Across Pre‐Dialysis and Maintenance Hemodialysis End‐Stage Renal Disease Patients

CNS Neuroscience &Therapeutics, Volume 32, Issue 1, January 2026.
This study examined structural connectivity (SC) and structural–functional coupling (SFC) within working memory (WM) networks in end‐stage renal disease. Pre‐dialysis patients showed disrupted frontoparietal connectivity and reduced coupling, associated with higher urea, lower sodium, and impaired WM performance.
Xiaoling Xu, Shaohui Ma, Siyao Liu, Zhaoyao Luo, Qiange Zhu, Huijie Yuan, Xinyi Zhu, Wen Gu, Peng Li, Jianjun Zhang, Ming Zhang, Junya Mu   +11 more
wiley   +1 more source

Prefrontal Cortex Recruitment to Food Stimuli Differs in Overweight/Obesity and Binge Eating Disorder

European Eating Disorders Review, Volume 34, Issue 1, Page 202-212, January 2026.
ABSTRACT Background At a phenotypical level, the repeated occurrence of binge eating episodes clearly differentiates individuals with binge eating disorder (BED) from individuals with overweight but without BED. Their neural profiles during food‐related inhibition, however, indicate prefrontal hypoactivation in both groups.
Jennifer Svaldi, Betti Schopp, Philipp A. Schroeder, Dustin Werle, Ann‐Christine Ehlis   +4 more
wiley   +1 more source

Neural Dynamics of Social Cognition: A Single‐Trial Computational Analysis of Learning Under Uncertainty

Human Brain Mapping, Volume 47, Issue 1, January 2026.
We apply a hierarchical Bayesian model to single‐trial EEG data from an advice‐taking task, demonstrating that EEG activity closely mirrors the predicted sequence of prediction errors and precision signals. Additionally, source‐localised activity in the fusiform gyrus and posterior cingulate cortex covaried with participants' psychosocial functioning ...
Colleen E. Charlton, Daniel J. Hauke, Vladimir Litvak, Michelle Wobmann, Renate de Bock, Christina Andreou, Stefan Borgwardt, Volker Roth, Andreea O. Diaconescu   +8 more
wiley   +1 more source

Functional Impact Score of Mitochondrial Variants and Its Relationship With Functional Connectivity of the Brain: Potential Origins of Premature Aging in Young Adulthood

Human Brain Mapping, Volume 47, Issue 1, January 2026.
Greater mitochondrial DNA functional impact score was associated with lower connectivity between dorsal attention and language networks, suggesting that mitochondrial dysfunction may lead to worse language processing and verbal memory. ABSTRACT Alterations in mitochondrial DNA (mtDNA) have been associated with worse cognitive abilities in older adults ...
Klara Mareckova, Ana Paula Mendes‐Silva, Radek Mareček, Tomáš Jordánek, Anna Pačínková, Jana Klánová, Vanessa F. Gonçalves, Yuliya S. Nikolova   +7 more
wiley   +1 more source

Some of the next articles are maybe not open access.

Related searches:

Deep learning in resting-state fMRI

2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2021
Modeling the rich, dynamic spatiotemporal variations captured by human brain functional magnetic resonance imaging (fMRI) data is a complicated task. Analysis at the brain's regional and connection levels provides more straightforward biological interpretation for fMRI data and has been instrumental in characterizing the brain thus far.
Anees, Abrol, Reihaneh, Hassanzadeh, Sergey, Plis, Vince, Calhoun   +3 more
openaire   +2 more sources