Brain Imaging and Behavior最新文献

{"title":"Default mode network functional connectivity is associated with intention interference in healthy aging.","authors":"Tuan-Jung Liang, Sheng-Min Huang, Min-Chien Tu, Li-Wei Kuo, Jir-Jei Yang, Yen-Hsuan Hsu","doi":"10.1007/s11682-026-01205-y","DOIUrl":"https://doi.org/10.1007/s11682-026-01205-y","url":null,"abstract":"<p><p>Prospective memory (PM), the ability to fulfil an intended action, is important in daily life. However, completed intentions can interfere with subsequent behaviors, known as the aftereffect. The neural basis of this phenomenon remains unclear, particularly from a network perspective. Based on cognitive theories, the present study aimed to examine the underlying neural mechanisms, focusing on the default mode network (DMN) and the frontoparietal network (FPN) to resolve previously inconsistent findings. Thirty-six middle-to-older adults completed a memory-for-intention task, with outdated cues assessing aftereffects through commission errors and prolonged reaction time. Resting-state functional magnetic resonance imaging data were used to calculate functional connectivity (FC) between regions of interest within the DMN and the FPN. The results showed that FC between the left superior frontal gyrus and right middle temporal pole was associated with the late aftereffect reflected by prolonged reaction time. No significant associations were found within the FPN. The findings highlight the role of intrinsic connectivity in the DMN, suggesting that task disengagement and self-referential processing may contribute to the unintended activation of completed intentions, supporting the spontaneous retrieval account in the dual mechanism theory.</p>","PeriodicalId":9192,"journal":{"name":"Brain Imaging and Behavior","volume":"20 5","pages":""},"PeriodicalIF":2.8,"publicationDate":"2026-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149079784","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":"The mediating effect of neuroticism on the association between brain signal variability in the prefrontal cortex and depression among healthy individuals.","authors":"Fengmei Lu, Yajing Pang, Ting Li, Mengfan Liu, Chen Jia, Jingjing Gao, Wei Luo, Yue Yu, Lu Wang, Qin Tang, Qian Cui, Qing Gao, Zongling He, Huafu Chen","doi":"10.1007/s11682-026-01194-y","DOIUrl":"10.1007/s11682-026-01194-y","url":null,"abstract":"<p><p>The personality trait of neuroticism has been recognized as a risk factor for depression. Research into the interplay between brain activity, neuroticism, and subclinical depressive symptoms could potentially uncover biomarkers capable of predicting the onset of depression. Brain intrinsic signal variability, a measure of system flexibility, is related to lifespan development, cognitive performance, and mental health disorders. Despite its importance, the link between signal variability and both neuroticism and depression has not been previously explored. This study, therefore, sought to investigate the correlation between brain signal variability, neuroticism, and depressive symptoms in individuals without clinical depression. The resting-state functional magnetic resonance imaging data were collected from 103 healthy right-handed individuals (63 males, 40 females; mean age 24.73 ± 8.34 years). Neuroticism and subclinical depressive symptoms were assessed by Eysenck Personality Questionnaire and Zung Self-Rating Depression Scale, respectively. To quantify brain signal variability, voxel-wise mean-squared successive difference (MSSD) was calculated. A mediation analysis was subsequently performed to explore the interrelationships among signal variability, neuroticism, and depressive symptoms. Neuroticism showed a significant negative correlation with MSSD in several brain regions, including the medial prefrontal cortex (MPFC), dorsolateral prefrontal cortex (dlPFC), precentral gyrus, angular gyrus, and middle temporal gyrus. Additionally, MSSD in the MPFC and dlPFC were negatively associated with depressive symptoms, with neuroticism mediating this relationship. In sum, neuroticism and depressive symptoms were associated with reduced signal variability in the PFC regions. These effects suggested that dysfunctional activity within the PFC regions is linked to the etiology of depression, mediated by individual differences in neuroticism.</p>","PeriodicalId":9192,"journal":{"name":"Brain Imaging and Behavior","volume":"20 5","pages":""},"PeriodicalIF":2.8,"publicationDate":"2026-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13619728/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149073177","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}

{"title":"Altered default mode, limbic, and dorsal attention network connectivity after negative mood induction in problematic internet use.","authors":"Seçil Tunalı Aslan, Sena Kıcıklar, Zeynep Fırat, Gazanfer Ekinci, Andaç Hamamcı","doi":"10.1007/s11682-026-01201-2","DOIUrl":"https://doi.org/10.1007/s11682-026-01201-2","url":null,"abstract":"<p><p>Problematic internet use is associated with emotion regulation difficulties, and negative mood states are known to trigger such use. However, how negative mood dynamically modulates large-scale brain network connectivity in individuals with problematic internet use remains unclear. This study investigated functional connectivity alterations following negative mood induction using independent component analysis.Twenty individuals with problematic internet use and twenty matched healthy controls underwent resting-state functional magnetic resonance imaging before and after negative mood induction. Group-level independent component analysis identified intrinsic brain networks, and a 2 × 2 mixed-design compared within-network connectivity alterations between groups. Two-stage cluster-extent thresholding was employed (voxel-level p < .001 uncorrected; cluster-level FDR p < .05).Mood induction successfully elevated negative affect in both groups. Participants with problematic internet use showed differential connectivity alterations versus controls in four networks: prefrontal-parietal and temporo-sensorimotor subdivisions of Default Mode Network B, Limbic Network B, and Dorsal Attention Network B. The prefrontal-parietal Default Mode and Dorsal Attention effects were robust to non-parametric permutation testing, whereas the temporo-sensorimotor and limbic effects were preliminary. Alterations included increased orbitofrontal-subcallosal and decreased paracingulate-superior frontal connectivity (prefrontal-parietal Default Mode), reduced occipital connectivity (temporo-sensorimotor Default Mode), increased posterior temporal connectivity (Limbic), and decreased frontal pole with increased precuneus connectivity (Dorsal Attention).Problematic internet use is associated with mood-dependent alterations in default mode, limbic, and dorsal attention network connectivity. These network alterations are consistent with emotion regulation deficit models and suggest interventions targeting emotion regulation and prefrontal cognitive control may address neural mechanisms underlying mood-driven internet use.</p>","PeriodicalId":9192,"journal":{"name":"Brain Imaging and Behavior","volume":"20 5","pages":""},"PeriodicalIF":2.8,"publicationDate":"2026-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149023854","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":"Neurovascular dysfunction in cerebral small vessel disease: impact on cognition and depression using arterial spin labeling and resting-state fMRI.","authors":"Peng Zeng, Dan Luo, Bang Zeng, Binglan Li, Yuling Peng, Yayun Xiang, Lisha Nie, Yongmei Li","doi":"10.1007/s11682-026-01200-3","DOIUrl":"https://doi.org/10.1007/s11682-026-01200-3","url":null,"abstract":"<p><p>To investigate the neurovascular coupling (NVC) differences in cerebral small vessel disease (CSVD) with or without cognitive impairment, using arterial transit time corrected cerebral blood flow, dynamic and static regional homogeneity, and explore underlying mechanisms through stepwise multiple linear regression and mediation analysis. Sixty-five CSVD patients and 36 healthy controls underwent resting-state fMRI and arterial spin labeling imaging. Cerebral blood flow, dynamic and static regional homogeneity, and NVC metrics were calculated. Cognitive, depression, and anxiety assessments were conducted. Stepwise multiple linear regression and mediation analysis were performed to understand the relationship between CSVD pathology and cognition status. Altered NVC was mainly distributed in the prefrontal cortex and basal ganglia. Reduced cross-voxel-correlation-coefficients within the whole brain in CSVD were observed. Positive predictors for cognition score included NVC-related metrics in default mode network, precentral gyrus, the whole gray matter and education. Finally, mediation analysis revealed the role of NVC in the relationship between depression and cognitive performance. NVC dysfunction is observed in CSVD. NVC-related abnormality in default mode network, precentral gyrus, the whole gray matter, and education level contribute to global cognition in CSVD. NVC may mediate depression and global cognition.</p>","PeriodicalId":9192,"journal":{"name":"Brain Imaging and Behavior","volume":"20 5","pages":""},"PeriodicalIF":2.8,"publicationDate":"2026-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149023795","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":"White matter microstructural alterations associated with type-2 diabetes mellitus and mild cognitive impairment.","authors":"José A Reyes-Bueno, José Paredes-Pacheco, Juan B Muñoz-García, Francisco Alfaro-Rubio, José R Ramos-Rodríguez, María J Ariza, José Rioja, Juan A García-Arnés, Natalia García-Casares","doi":"10.1007/s11682-026-01199-7","DOIUrl":"https://doi.org/10.1007/s11682-026-01199-7","url":null,"abstract":"<p><p>Diabetes is one of the main risk factors for developing amnesic mild cognitive impairment and Alzheimer's disease. Several studies have found differences between the microstructural abnormalities that appear in the brains of patients with type 2 diabetes and amnesic mild cognitive impairment (T2DM-aMCI). To compare the microstructural differences between the brains of subjects with T2DM-aMCI and the brains of healthy controls. In addition, to correlate the cognitive decline of subjects with T2DM-aMCI with microstructural alterations. A cross-sectional study was conducted with a sample size of 54 patients. The participants were divided into two groups: T2DM-aMCI and healthy controls. All the participants underwent a wide range of neuropsychological tests assessing different cognitive domains. 47 subjects had MRI session. An exploratory analysis showed that the T2DM-aMCI group had a reduced fractional anisotropy in the white matter compared to the healthy controls group (p < 0.15). The most affected areas were the body of the corpus callosum and the right and left superior corona radiata. T2DM-aMCI had significant positive correlations (p < 0.05) between cerebral regions and Mini Mental State Examination, Montreal Cognitive Assessment, Rey Auditory Verbal Learning Test immediate recall and recognition, Verbal Fluency Test total words and animals. Persons with T2DM-aMCI showed less cerebral white matter integrity in different brain areas when compared to healthy controls. Positive correlations between white matter microstructural alterations and functional cognition (general cognition, memory and language) in T2DM-aMCI group were found.</p>","PeriodicalId":9192,"journal":{"name":"Brain Imaging and Behavior","volume":"20 5","pages":""},"PeriodicalIF":2.8,"publicationDate":"2026-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149015619","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":"Altered cortical-subcortical structural connectivity underlying symptom dimensions in schizophrenia.","authors":"Juanjuan Ren, Rong Zhang, Yunshan Zhou, Xiaoxia Lei, Yewei Wang, Xiaochang Chen, Lirong Fu, Qingyi Li, Chen Zhang","doi":"10.1007/s11682-026-01196-w","DOIUrl":"https://doi.org/10.1007/s11682-026-01196-w","url":null,"abstract":"<p><p>Schizophrenia is characterized by heterogeneous clinical symptoms, which may arise from disruptions in brain network connectivity. This study aimed to characterize alterations in white matter networks, and to investigate their associations with symptom dimensions in schizophrenia. We conducted probabilistic tractography in 61 schizophrenia and 63 matched healthy controls. Whole-brain structural connectomes were constructed using the Desikan-Killiany atlas, which comprises 82 regions. Network-Based Statistics identified significantly altered subnetworks, followed by graph-theoretical analyses to assess their topological properties. Symptom dimensions were derived from the Positive and Negative Syndrome Scale, and regression analyses were performed to examine associations between network alterations and symptom severity. Individuals with schizophrenia showed weakened connectivity in a subnetwork comprising 13 connections across cortical and subcortical regions (threshold edge t > 3.50, component p < 0.001, familywise error corrected). This subnetwork was primarily characterized as frontal-temporal-insular-cingulate connectivity, with limited hippocampal and thalamic contributions. Within this subnetwork, Connectivity intensity(p < 0.001) and global efficiency(p < 0.001) were significantly lower in schizophrenia relative to healthy controls. Exploratory regression analyses (adjusting for potential confounders) revealed that distinct connections were associated with different affective and cognitive symptom dimensions; global efficiency was associated with negative symptom dimensions (all p < 0.05, uncorrected). The analyses identified reduced structural connectivity of cortical networks with limited hippocampal and thalamic involvement among individuals with schizophrenia relative to healthy controls, and provided preliminary evidence linking this subnetwork to clinical heterogeneity in schizophrenia.</p>","PeriodicalId":9192,"journal":{"name":"Brain Imaging and Behavior","volume":"20 5","pages":""},"PeriodicalIF":2.8,"publicationDate":"2026-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148954745","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":"Eight-year longitudinal changes in functional connectivity of the fatigue network in Parkinson's disease: evidence from four timepoints.","authors":"Olaia Lucas-Jiménez, Oihana Zabala-Gómez, Isao Nambu, Leire Zubiaurre-Elorza, Beatriz Tijero, Iñigo Gabilondo, Javier Peña, Natalia Ojeda, María Ángeles Acera, Rocío Del Pino, Juan Carlos Gómez-Esteban, Naroa Ibarretxe-Bilbao","doi":"10.1007/s11682-026-01197-9","DOIUrl":"https://doi.org/10.1007/s11682-026-01197-9","url":null,"abstract":"<p><p>Fatigue is a prevalent non-motor symptom in Parkinson's disease (PD), yet its long-term neural substrates remain poorly understood. The aim of this study was to characterize eight-year, four-timepoint longitudinal changes in the fatigue-related brain functional connectivity (FC) in PD and examine their associations with fatigue severity. Fifty-one PD patients and 37 healthy controls (HC) were recruited. All variables were assessed at four timepoints: baseline (year-1), year-3, year-5, and year-8. Region of interest (ROI)-to-ROI analyses targeted a predefined fatigue-related network. A visual network served as a control system. Longitudinal FC effects were assessed using a 2 × 4 ANCOVA (group×time), adjusting for age, sex, and Levodopa Equivalent Daily dose. Fatigue severity was measured with the Fatigue Severity Scale. PD patients exhibited a significant progressive reduction in FC between the right dorsolateral prefrontal cortex (DLPFC) and left dorsal anterior cingulate cortex (dACC) compared with HC. Results remained significant also including depression and global cognition as covariates. Within PD, lower right DLPFC-left dACC FC was associated with higher fatigue, whereas no associations were observed in HC. The fatigue network was specifically associated with fatigue scores, but not with depression or cognition; no longitudinal or fatigue-related effects were found in the visual control network. Across eight years and four assessments, PD is characterized by a gradual disruption of prefrontal-cingulate connectivity within a key fatigue-related hub. This evolving DLPFC-dACC decoupling is linked to worsening fatigue and is specific to the fatigue network, providing preliminary evidence for a neural marker and therapeutic target for fatigue progression in PD.</p>","PeriodicalId":9192,"journal":{"name":"Brain Imaging and Behavior","volume":"20 5","pages":""},"PeriodicalIF":2.8,"publicationDate":"2026-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148944283","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":"Thalamic dysconnection and sensorimotor impairment in SCA10.","authors":"Léo Coutinho, Alex Tiburtino Meira, Walter Oleschko Arruda, Carlos Henrique Ferreira Camargo, Otto Jesus Hernandez Fustes, Hélio A Ghizoni Teive","doi":"10.1007/s11682-026-01198-8","DOIUrl":"https://doi.org/10.1007/s11682-026-01198-8","url":null,"abstract":"","PeriodicalId":9192,"journal":{"name":"Brain Imaging and Behavior","volume":"20 5","pages":""},"PeriodicalIF":2.8,"publicationDate":"2026-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148886418","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":"Altered gray matter network segregation and disrupted interregional connectivity in children with persistent developmental stuttering: a graph-theoretical morphometric study.","authors":"Wanqing Liu, Dan Ma, Chuanlong Cao, Sai Liu, XinMao Ma, Fenglin Jia, Pei Li, Hui Zhang, Yimin Hua, Yi Liao, Haibo Qu","doi":"10.1007/s11682-026-01186-y","DOIUrl":"https://doi.org/10.1007/s11682-026-01186-y","url":null,"abstract":"<p><p>Developmental stuttering is a neurodevelopmental speech disorder characterized by speech disfluency and variable persistence into adolescence. While white matter and functional connectivity abnormalities have been widely reported, the topological organization of gray matter (GM) networks in affected children remains unclear. This study investigated GM morphological network alterations in children with persistent developmental stuttering (CWS) and examined their relationships with stuttering severity. Thirty-three CWS and thirty age- and sex-matched healthy controls underwent T1-weighted MRI. Individual GM morphological networks were constructed using Kullback-Leibler divergence of voxel-based morphometry data across 90 brain regions. Graph-theoretical analyses quantified global and local topological properties, and network-based statistics (NBS) were used to identify alterations in morphological connectivity. Both groups exhibited small-world topology; however, CWS showed significantly higher clustering coefficient(Cp), local efficiency (E_loc), and modularity (Q) (P < 0.05), indicating a hyper-segregated GM organization. NBS revealed reduced morphological connectivity within a subnetwork encompassing the default mode, sensorimotor, basal ganglia-thalamic, and visual regions. Greater network segregation (Cp, E_loc, Q) was positively correlated with stuttering severity, whereas reduced subnetwork connectivity was negatively correlated with stuttering severity (FDR-corrected P < 0.05). These findings suggest that children with persistent stuttering exhibit excessive local specialization and decreased interregional integration, reflecting a network-level imbalance that may underlie the persistence and severity of stuttering. Altered GM network topology may represent a potential neurostructural biomarker for early identification and targeted intervention.</p>","PeriodicalId":9192,"journal":{"name":"Brain Imaging and Behavior","volume":"20 5","pages":""},"PeriodicalIF":2.8,"publicationDate":"2026-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148856962","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":"Assessing cognitive impairment in epilepsy using Arterial spin-labeled (ASL) perfusion imaging.","authors":"Qiuyan Chen, Jie Zhang, Rong Chen, Yameng Qin, Xu Wang, Qiang Liu, Zheng Yin, Ping Yang, Feng Rao, Longnan Wang, Mengyun Li, Yanzi Jin, Xianrui Xu, Qing Zhang","doi":"10.1007/s11682-026-01195-x","DOIUrl":"https://doi.org/10.1007/s11682-026-01195-x","url":null,"abstract":"<p><p>To investigate differences in cerebral blood flow (CBF) between people with epilepsy (PWE) who had cognitive impairment and those who did not, and to explore the association between cerebral perfusion abnormalities and cognitive dysfunction. A total of 89 patients who attended the epilepsy outpatient clinic of the Department of Neurology, General Hospital of Ningxia Medical University, between January 2021 and September 2025 were retrospectively included.Demographic and clinical data were collected. Cognitive function, sleep quality, anxiety, and depression were assessed using the Mini-Mental State Examination (MMSE), Pittsburgh Sleep Quality Index (PSQI), Self-Rating Anxiety Scale (SAS), and Self-Rating Depression Scale (SDS). Patients were classified into cognitive impairment and non-cognitive impairment groups according to their MMSE scores. CBF was assessed using a region-of-interest (ROI)-based approach, and intergroup differences in perfusion were analyzed. Compared with PWE without cognitive impairment,patients with cognitive impairment showed reduced cerebral perfusion in multiple brain regions.Specifically, significantly lower perfusion was observed in the bilateral insula, bilateral caudate nucleus, and left lentiform nucleus (all P< 0.05). Reduced cerebral perfusion in specific brain regions may be associated with cognitive impairment in PWE.</p>","PeriodicalId":9192,"journal":{"name":"Brain Imaging and Behavior","volume":"20 5","pages":""},"PeriodicalIF":2.8,"publicationDate":"2026-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148825378","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}