Wenbo Yang, Lijun Song, Mingan Li, Xiaoyan Bai, Boyan Xu, Min Li, Zhenghan Yang, Tiantian Ma, Yong Gong, Gang Fu, Wenjing Zhao, Jing Zhao, Gang Wang, Weikang Guo, Zhen-Chang Wang, Hao Wang
{"title":"Neurovascular decoupling is associated with altered glymphatic function as assessed by the DTI-ALPS index in patients on dialysis.","authors":"Wenbo Yang, Lijun Song, Mingan Li, Xiaoyan Bai, Boyan Xu, Min Li, Zhenghan Yang, Tiantian Ma, Yong Gong, Gang Fu, Wenjing Zhao, Jing Zhao, Gang Wang, Weikang Guo, Zhen-Chang Wang, Hao Wang","doi":"10.1007/s11682-026-01161-7","DOIUrl":"10.1007/s11682-026-01161-7","url":null,"abstract":"<p><p>Neurovascular coupling (NVC) reflects the coordination between brain activity and cerebral blood flow, while glymphatic function indicates the capacity to clear metabolic waste from the brain. However, differences in these two factors between patients on peritoneal dialysis (PD) and hemodialysis (HD), as well as their interrelationship, remain unclear. Functional magnetic resonance imaging, three-dimensional pseudo-continuous arterial spin labeling, and diffusion tensor imaging were prospectively performed in 56 patients on PD, 54 patients on HD, and 52 healthy controls (HC). The study calculated the amplitude of low frequency fluctuation-cerebral blood flow (ALFF-CBF) coupling coefficient and the diffusion tensor image analysis along the perivascular space (DTI-ALPS) index, which respectively represent the overall NVC level and the glymphatic function. Compared to HC, patients on PD and HD exhibited lower ALFF-CBF coupling coefficients and DTI-ALPS indices, but there were no significant differences between the PD and HD groups. Additionally, positive correlations were observed between ALFF-CBF coupling coefficients and DTI-ALPS indices across all three groups. he degrees of neurovascular decoupling and altered glymphatic function are comparable between patients on PD and HD. Importantly, neurovascular decoupling may be associated with altered glymphatic function in patients on dialysis. The degrees of neurovascular decoupling and altered glymphatic function are comparable between patients on PD and HD. Importantly, neurovascular decoupling may be associated with altered glymphatic function in patients on dialysis.</p>","PeriodicalId":9192,"journal":{"name":"Brain Imaging and Behavior","volume":"20 3","pages":""},"PeriodicalIF":2.8,"publicationDate":"2026-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147855789","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Resting-state BOLD-CBF coupling in end-stage renal disease with diabetic kidney disease patients: associations with clinical characteristics and cognitive function.","authors":"Bingxin Yu, Wenbo Yang, Lijun Song, Mingan Li, Boyan Xu, Zhenchang Wang, Hao Wang","doi":"10.1007/s11682-026-01158-2","DOIUrl":"10.1007/s11682-026-01158-2","url":null,"abstract":"<p><p>Objectives Patients with diabetic kidney disease (DKD) are at increased risk of cognitive impairment, but the underlying alterations in resting-state BOLD-CBF coupling remain unclear. This study aimed to investigate changes in resting-state BOLD-CBF coupling and their associations with clinical characteristics and cognitive function in DKD. Resting-state functional MRI (rs-fMRI) and arterial spin labeling (ASL) were performed in 36 patients with DKD, 36 patients without DKD, and 37 healthy controls. Amplitude of low-frequency fluctuations (ALFF) derived from rs-fMRI and cerebral blood flow (CBF) derived from ASL were used to calculate the ALFF-CBF coupling coefficient, which was used to characterize resting-state BOLD-CBF coupling. Cognitive function was assessed using the Montreal Cognitive Assessment (MoCA) before MRI examination. Laboratory tests were also performed, and correlations with clinical variables and MoCA scores were analyzed. Compared with the non-DKD group, the DKD group showed significantly reduced resting-state BOLD-CBF coupling in several brain regions. In the DKD group, glycated hemoglobin A1c levels negatively correlated with resting-state BOLD-CBF coupling in the bilateral medial superior frontal gyrus, while hemoglobin levels positively correlated with resting-state BOLD-CBF coupling in multiple brain areas. And resting-state BOLD-CBF coupling in the left hippocampus was linked to MoCA score. DKD patients exhibited more pronounced alterations in resting-state BOLD-CBF coupling compared to non-DKD patients, potentially linked to elevated blood glucose levels.</p>","PeriodicalId":9192,"journal":{"name":"Brain Imaging and Behavior","volume":"20 3","pages":""},"PeriodicalIF":2.8,"publicationDate":"2026-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147833855","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A cross-sectional and longitudinal study of changes in complex networks related to brain function in temporal lobe epilepsy patients treated with levetiracetam intervention therapy.","authors":"Cuimi Luo, Chuanyong Qu, Zirong Chen, Dongying Huang, Xiaomin Pang, Guiming Weng, Huachun Huang, Zhuoyan Qiu, Bailing Qin, Jinou Zheng","doi":"10.1007/s11682-026-01159-1","DOIUrl":"10.1007/s11682-026-01159-1","url":null,"abstract":"<p><p>The aim of this study was to investigate the changes in complex networks of brain functions associated with LEV treatment and the neural mechanisms underlying the effects on executive functions. Patients with TLE, including both users and nonusers of LEV, were included in this study along with healthy controls. Rs-fMRI and an attentional network test (ANT) were performed, and 9 of the 23 patients not taking LEV were selected for LEV intervention and followed up for 18 months. Rs-fMRI and ANT were reviewed, and graph theoretic analyses were applied to investigate the changes in their topological properties. Both the LEV and HC groups showed improvements in executive function compared with the non-LEV group. At the global level, significant group differences in global efficiency and characteristic path length were observed among the three groups. At the nodal level, compared with the HC and non-LEV groups, the LEV group presented multiple differential nodes with different topological properties in the parieto-occipital lobe and frontal lobe. The TLE-LEV group had multiple differential nodes in the parieto-occipital lobe and frontal-temporal lobe compared with the TLE-N group. Notably, the LEV group's betweenness centrality of the superior frontal gyrus and dorsolateral and executive functions was significantly positively correlated with the correlation analyses. Changes in the topological properties are a key effect of LEV administration. This finding improves our understanding of the neural mechanisms by which LEV improves cognitive functioning.</p>","PeriodicalId":9192,"journal":{"name":"Brain Imaging and Behavior","volume":"20 3","pages":""},"PeriodicalIF":2.8,"publicationDate":"2026-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147833928","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Abnormalities in brain white matter structural networks associated with language function of post-stroke aphasia.","authors":"Xiaolin Yang, Xiaoyun Chen, Senning Zheng, Liting Chen, Mingxian Zhang, Haishan Yuan, Zhuoming Chen, Ruiwang Huang","doi":"10.1007/s11682-026-01111-3","DOIUrl":"10.1007/s11682-026-01111-3","url":null,"abstract":"<p><p>Previous studies have found that the pathology of post-stroke aphasia might be related to abnormalities in the white matter connectivity. However, it is still unclear about the neural mechanism of white matter impairment in the post-stroke aphasia. The present study attempted to detect the alteration of the brain white matter structural network in the post-stroke aphasia. We recruited 16 PSA patients who suffered from post-stroke aphasia and 14 healthy controls and acquired their diffusion-tensor imaging data. We performed a deterministic white matter fiber tracking to construct white matter structural network and estimated network topological properties by using graph theory. We also assessed the between-group differences in these parameters and estimated the correlations between the abnormal parameters and clinical assessments in the patients. The patients showed higher shortest path length, higher normalized clustering coefficient, and lower global efficiency than the controls. We found abnormal nodal parameters in the frontal, parietal, basal ganglia, and limbic regions in the patient group. From the rich-club analysis, we found that the patient group showed higher rich-club connections and lower feeder connections than the control group, and had a new rich-club region, the right fusiform gyrus. In summary, this study detected the abnormal both nodal and global parameters of the brain white matter structural network in the post-stroke aphasia. These findings may provide insights into understanding the abnormal brain network and impairment of language function in the post-stroke aphasia.</p>","PeriodicalId":9192,"journal":{"name":"Brain Imaging and Behavior","volume":"20 3","pages":""},"PeriodicalIF":2.8,"publicationDate":"2026-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147833945","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Brain network analysis using morphological intrinsic divergence: differences in small-world properties of morphological similarity networks among healthy young adults with different chronotypes.","authors":"Chenye Huang, Xie Wang, Daojun Xie","doi":"10.1007/s11682-026-01147-5","DOIUrl":"10.1007/s11682-026-01147-5","url":null,"abstract":"<p><p>An individual's chronotype reflects their intrinsic circadian rhythm preference and is closely associated with cognitive function and mental health. However, the relationship between chronotype and whole-brain morphological structural network organization remains unclear. This study aims to explore differences in the topological organization characteristics of morphometric similarity networks (MSNs) among healthy young adults of different chronotypes from a graph theory perspective. We employed a novel Morphometric INverse Divergence (MIND) method, which is more sensitive to subtle morphological differences, to construct individual-level brain MSNs. This method aggregates morphological metrics (cortical thickness, mean curvature, sulcal depth, surface area, gray matter volume) from all vertices within each cortical region to form a regional multivariate distribution. Subsequently, a k-nearest neighbor density algorithm constructs a pairwise distance matrix, and symmetric Kullback-Leibler divergence between regional multivariate distributions quantifies similarity among cortical regions. Using high-resolution Glasser atlas, medium-resolution Destrieux atlas, and low-resolution Desikan-Killiany atlas, MIND networks were constructed for 68 healthy young individuals with early chronotype (EC) and 68 with late chronotype (LC) patterns. We calculated the area under the curve (AUC) for multiple graph-theoretic metrics, including small-world properties, across varying sparsity levels in weighted networks, followed by intergroup comparisons and correlation analyses. Analysis based on the Destrieux atlas revealed that EC participants exhibited significantly higher AUC of Small-World Properties (AUC-SWP) compared to LC participants (P = 0.0045), and this metric showed a significant negative correlation with ChQ-ME scores (rs = -0.2114, P = 0.0135). When using the Desikan-Killiany atlas and the Glasser atlas, the aforementioned intergroup differences and correlations were not detected (P > 0.05). These findings suggest that an individual's chronotype correlates with the topological organization of brain MSNs. This association was detected specifically when using the medium-resolution Destrieux atlas, while was not found with either the lower-resolution Desikan-Killiany atlas or the higher-resolution Glasser atlas under the conditions of this study. This pattern indicates that chronotype-related brain differences may operate at an optimal spatial scale, where brain parcellation strikes a balance between signal integration and anatomical specificity. The results support a model of distributed, subtle morphological alterations that together form a detectable \"weak signal\" network. This study presented a novel spatial-scale perspective on the relationship between brain structure and circadian rhythms.</p>","PeriodicalId":9192,"journal":{"name":"Brain Imaging and Behavior","volume":"20 3","pages":""},"PeriodicalIF":2.8,"publicationDate":"2026-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147833877","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Microstructural changes in memory-related brain regions of stroke-free patients with middle cerebral artery occlusion as revealed by diffusion spectrum imaging.","authors":"Zhenghua Liu, Yu Xiao, Xinghua Wan","doi":"10.1007/s11682-026-01160-8","DOIUrl":"10.1007/s11682-026-01160-8","url":null,"abstract":"<p><p>We used diffusion spectrum imaging (DSI) and 3-dimensional arterial spin labeling to investigate microstructural and perfusion changes in memory-related brain regions in stroke-free patients with middle cerebral artery (MCA) occlusion. Forty-nine patients with unilateral MCA occlusion, 11 with bilateral MCA occlusion, and 30 healthy controls underwent 3.0 T MRI. Quantitative anisotropy (QA), restricted diffusion imaging (RDI), and fractional anisotropy (FA) were analyzed in memory-related gray matter regions and fiber tracts. The ratio of cerebral blood flow (CBF) and QA in the affected temporal lobe compared to the contralateral side is referred to as relative CBF (rCBF) and relative QA (rQA). Pearson correlation analysis was conducted to assess the relationship between rCBF and rQA in the temporal lobe. In unilateral MCA occlusion patients, paired t-tests revealed significantly lower QA and RDI in lesion-side regions of interest (ROIs) compared with contralateral ROIs. For healthy controls, bilateral hemispheric values were averaged, and independent t-tests were used for group comparisons. Patients with unilateral MCA occlusion showed broadly reduced QA and RDI in bilateral ROIs relative to controls, with more severe abnormalities on the lesion side. A moderate correlation between temporal lobe rCBF and rQA indicated that cerebral hypoperfusion may contribute to microstructural alterations. These findings demonstrate that stroke-free patients with unilateral MCA occlusion exhibit subclinical microstructural damage in memory-related brain regions and connected white matter tracts.</p>","PeriodicalId":9192,"journal":{"name":"Brain Imaging and Behavior","volume":"20 3","pages":""},"PeriodicalIF":2.8,"publicationDate":"2026-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147811255","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Yani Yao, Jiayi Li, Jiaoyang Yan, Qian Cai, Yuling Wang, Huan Xia, Tingting Feng, Peishan Li, Xinling Yang
{"title":"Clinical study on the interaction between iron metabolism and neuroinflammation and iron deposition in the substantia nigra of Parkinson's disease.","authors":"Yani Yao, Jiayi Li, Jiaoyang Yan, Qian Cai, Yuling Wang, Huan Xia, Tingting Feng, Peishan Li, Xinling Yang","doi":"10.1007/s11682-026-01156-4","DOIUrl":"10.1007/s11682-026-01156-4","url":null,"abstract":"<p><strong>Objective: </strong>To investigate the clinical relationship between the interaction of iron metabolism, neuroinflammation and iron deposition in substantia nigra of Parkinson's disease (PD).</p><p><strong>Methods: </strong>1) 30 PD patients and 30 healthy controls were recruited from the First and Second affiliated Hospitals of Xinjiang Medical University from May 2022 to October 2023. The clinical symptoms (motor symptoms and non-motor symptoms) and clinical severity of PD patients were evaluated by unified Parkinson's disease scale III (UPDRSIII), Hoehn-Yahr (H-Y) stage, Hamilton anxiety scale (HAMA), Hamilton depression scale (HAMD), mini-mental state assessment scale (MMSE) and Montreal cognitive assessment scale (MoCA). (2) A case-control study was conducted to determine the content of iron in the brain of patients with PD by magnetic sensitive quantitative imaging (QSM) to generate 3DT2, 3DT2* (SWAN), QSM and PostT1Gd, and to study the correlation between iron content and motor symptoms, non-motor symptoms (anxiety, depression, dementia), and clinical severity in PD. (3) Enzyme-linked Immunosorbent Assay (ELISA) was used to detect and compare the levels of iron, DMT1, FPN1, IL-1β, IL-6 and TNF-α in the peripheral blood of both groups, and t-test and Wilcoxon rank-sum test were used to analyze the correlation between peripheral iron metabolism and blood inflammatory factors, clinical symptoms and clinical severity in patients with PD. (4) To analyze the clinical correlation between the interaction of peripheral iron metabolism and neuroinflammation and iron deposition in substantia nigra of Parkinson's brain.</p><p><strong>Results: </strong>1) The quantitative susceptibility mapping (QSM) values of red nucleus, substantia nigra, putamen and caudate nucleus in PD group were higher than those in control group (P < 0.05). The QSM value of red nucleus in PD group was negatively correlated with UPDRSIII score (motor symptoms) and positively correlated with non-motor symptoms depression (P < 0.05). The QSM score of substantia nigra in midbrain was positively correlated with disease severity (H-Y stage)(P < 0.05). (2) The median levels of serum DMT1, Fe, IL-6 and TNF-α in PD group were higher than those in control group (P < 0.05). The median level of serum FPN1 in PD group was lower than that in control group (P < 0.001). There was a negative correlation between serum DMT1 and non-motor symptom intelligence (MMSE), and between peripheral blood iron content and anxiety in patients with PD (P < 0.05). There was no significant correlation between ferritin and inflammatory factors and other clinical symptoms and severity of PD (P > 0.05). (3) The quantitative value of magnetic sensitivity (QSM) of substantia nigra in PD was positively correlated with iron metabolic protein DMT1, peripheral blood inflammatory factor IL-6 and negatively correlated with peripheral blood iron ion (P < 0.05). The results of interactive analysis showed that ther","PeriodicalId":9192,"journal":{"name":"Brain Imaging and Behavior","volume":"20 3","pages":""},"PeriodicalIF":2.8,"publicationDate":"2026-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147811247","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pujie Feng, Bin Jing, Ruijuan Dong, Beier Qi, Yilu Shou, Yanan Wei, Haiyun Li
{"title":"Human brain fingerprint-like nodes within RSFC: an exploratory study and their role in RSFC-behavior associations.","authors":"Pujie Feng, Bin Jing, Ruijuan Dong, Beier Qi, Yilu Shou, Yanan Wei, Haiyun Li","doi":"10.1007/s11682-026-01157-3","DOIUrl":"10.1007/s11682-026-01157-3","url":null,"abstract":"<p><p>Resting-state functional connectivity (RSFC) contains participant-specific patterns that can support differentiation among individuals within a cohort. This paper proposed computational approaches for determining the differential identifiability of nodes within the RSFC from the Human Connectome Project (HCP) and Leipzig Mind-Brain-Body (LEMON) datasets, and defined fingerprint-like nodes to explore individual brain functional fingerprint recognition and cognitive prediction. In addition, the predictions of fluid intelligence and working memory were explored. Experiments revealed that fingerprint-like nodes achieved higher recognition rates than whole-brain functional connectivity nodes, with individual recognition rates of at least 95.6% and 99.5% in the HCP and LEMON datasets, respectively. These nodes showed variability across brain atlases and datasets but consistent distribution within functional networks. Predictive models using these nodes also improved fluid intelligence and working memory predictions. Compared with existing methods, the proposed approaches define fingerprint-like nodes and systematically reveal their spatial distribution characteristics and contribution weights to individual functional fingerprint recognition at the node level. Although the VAN and DAN contribute less to individual identification of functional fingerprints compared to the FPN and DMN, our experiments find there are nodes within these networks that significantly impact individual identification. The fingerprint-like nodes performed well in both individual brain functional fingerprint identification and cognitive prediction. These approaches would contribute to a deeper understanding of the neural mechanisms of RSFC organization and function, as well as the mechanisms of RSFC in individual recognition and cognitive prediction.</p>","PeriodicalId":9192,"journal":{"name":"Brain Imaging and Behavior","volume":"20 3","pages":""},"PeriodicalIF":2.8,"publicationDate":"2026-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147811250","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Assunta Pelagi, Chiara Camastra, Andrea Quattrone, Alessia Sarica
{"title":"Subregional hypothalamic volumes associate with childhood conduct problems in healthy adults.","authors":"Assunta Pelagi, Chiara Camastra, Andrea Quattrone, Alessia Sarica","doi":"10.1007/s11682-026-01154-6","DOIUrl":"10.1007/s11682-026-01154-6","url":null,"abstract":"<p><p>Childhood conduct problems have been linked to alterations in frontolimbic circuits, yet the contribution of hypothalamic subregions remains largely unexplored. This study examined whether hypothalamic morphometry relates to conduct problems in 600 healthy young adults from the Human Connectome Project (206 with and 394 without conduct problems). Volumes of twelve hypothalamic subregions were extracted from structural MRI using the automated FreeSurfer segmentation. Group differences were assessed with linear models, and multivariable associations were tested with logistic regression adjusted for age, sex, and intracranial volume. Influential observations were screened using Cook's distance, and predictor importance was further evaluated through logistic LASSO regression with tenfold cross-validation. Individuals with a history of conduct problems showed larger volumes in anterior and tubular hypothalamic subregions-specifically the left anterior-inferior, left tubular-inferior, and right tubular-superior-while an initial inverse association in the left posterior subregion was no longer significant after excluding influential cases. These findings identify distinct hypothalamic subregions as structural correlates of early behavioral dysregulation and suggest that hypothalamic morphometry may reflect neurodevelopmental adaptations associated with childhood conduct problems.</p>","PeriodicalId":9192,"journal":{"name":"Brain Imaging and Behavior","volume":"20 3","pages":""},"PeriodicalIF":2.8,"publicationDate":"2026-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13135012/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147811232","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Jay Kakadiya, Beatriz Aguiar de Macedo, Neel Vora, Vidhi Dhaduk, Andre F Carvalho, Michael Maes, Kamilla W Miskowiak, Dhairya A Lakhani, Haris I Sair, Licia Pacheco Luna
{"title":"Altered resting-state functional connectivity in bipolar disorder: a systematic review.","authors":"Jay Kakadiya, Beatriz Aguiar de Macedo, Neel Vora, Vidhi Dhaduk, Andre F Carvalho, Michael Maes, Kamilla W Miskowiak, Dhairya A Lakhani, Haris I Sair, Licia Pacheco Luna","doi":"10.1007/s11682-026-01146-6","DOIUrl":"10.1007/s11682-026-01146-6","url":null,"abstract":"<p><p>Bipolar disorder (BD) is a chronic psychiatric illness characterized by recurrent episodes of mania and depression with intervening euthymic periods and persistent cognitive and affective dysfunction. Resting-state functional magnetic resonance imaging (rs-fMRI) may provide insights into intrinsic brain network alterations underlying mood dysregulation in BD, but findings remain heterogeneous across analytic approaches. Our study aims to systematically synthesize rs-fMRI evidence on FC alterations in adults with BD across all major analytic methods. A systematic review and meta-analytic synthesis were conducted following PRISMA guidelines and Cochrane recommendations (PROSPERO: CRD420251041135). PubMed/MEDLINE, Embase, and Scopus were searched from inception to February 25, 2025. Eligible studies included adult BD patients diagnosed by DSM criteria, healthy controls, rs-fMRI acquisition, and any FC analytic approach. Two reviewers independently performed screening, data extraction, and quality assessment using the Newcastle–Ottawa Scale. Seventeen studies comprising 1,899 participants (978 BD) met inclusion criteria. Methods included independent component analysis, seed-based, ROI-to-ROI, graph-theory, ALFF, and ReHo approaches. Convergent evidence demonstrated FC alterations predominantly within and between the Default Mode Network (DMN), Central Executive Network (CEN), and Ventral Attention Network (VAN). Frequently affected regions included the prefrontal cortex, inferior frontal gyrus, posterior cingulate cortex/precuneus, and supramarginal gyrus. Patterns included mixed hyper- and hypoconnectivity in prefrontal and inferior frontal regions, consistent DMN hub hypoconnectivity, and variable VAN alterations. Study quality was moderate to high overall, though methodological heterogeneity and clinical variability were common. Consistent FC alteration in BD demonstrate large-scale network dysconnectivity centered on DMN, CEN, and VAN hubs, supporting a triple-network model of disrupted cognitive-affective regulation. Despite analytic and clinical heterogeneity, convergent regional patterns suggest distributed network level pathology. Longitudinal multimodal studies are needed to clarify state versus trait effects and advance FC measures toward clinical utility.</p>","PeriodicalId":9192,"journal":{"name":"Brain Imaging and Behavior","volume":"20 3","pages":""},"PeriodicalIF":2.8,"publicationDate":"2026-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147762762","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}