Brain Imaging and Behavior最新文献_第9页

Sex influences whether hippocampal volumes mediate the relationship between depression and cognition in older adults without dementia: A UK Biobank study. 性别是否会影响海马体体积在无痴呆症老年人的抑郁与认知之间的关系：英国生物数据库研究。

IF 2.4 3区医学

Brain Imaging and Behavior Pub Date : 2025-02-01 Epub Date: 2024-10-11 DOI: 10.1007/s11682-024-00930-6

Nancy E Ortega, Vahan Aslanyan, Judy Pa

{"title":"Sex influences whether hippocampal volumes mediate the relationship between depression and cognition in older adults without dementia: A UK Biobank study.","authors":"Nancy E Ortega, Vahan Aslanyan, Judy Pa","doi":"10.1007/s11682-024-00930-6","DOIUrl":"10.1007/s11682-024-00930-6","url":null,"abstract":"Depression is a modifiable risk factor for dementia; however, it remains unclear whether there are sex differences in how depression affects dementia risk. To better understand sex-specific differences in how depression confers risk of dementia, the link between depression, hippocampal volumes, and cognition was evaluated in a sample of older adults without dementia from the UK Biobank cohort. A total of 18,220 participants (women n = 9,474; men n = 8,746) were selected based on completion of the Patient Health Questionnaire (PHQ-9), structural MRI, and cognitive assessments. Causal mediation analyses were used to evaluate if the relationship between depression and cognition is mediated by the hippocampus differently by sex. Women reported greater depression severity than men. Hippocampal volumes were found to mediate the relationship between depression severity and fluid intelligence only in women. Upon categorization of the depression symptoms as either cognitive/affective or somatic, the mediation effect of the hippocampus was seen for both cognitive/affective and somatic symptom severity in women for fluid intelligence. These results offer insight into the sex-specific pathways underlying the relationship between depression, hippocampal volumes, and cognition in older adults without dementia with a focus on the type of depression symptoms. This knowledge could aid in the development of sex-focused dementia prevention strategies and treatments.","PeriodicalId":9192,"journal":{"name":"Brain Imaging and Behavior","volume":" ","pages":"12-22"},"PeriodicalIF":2.4,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11846722/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142399320","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}

引用次数: 0

Parkinson's disease subtypes and their association with probable rapid eye movement sleep behavior disorder severity: a brainstem tractography and machine learning investigation. 帕金森病亚型及其与可能的快速眼动睡眠行为障碍严重程度的关联：脑干束状图和机器学习研究

IF 2.4 3区医学

Brain Imaging and Behavior Pub Date : 2025-02-01 Epub Date: 2024-12-19 DOI: 10.1007/s11682-024-00956-w

Anupa A Vijayakumari, Ken E Sakaie, Hubert H Fernandez, Benjamin L Walter

{"title":"Parkinson's disease subtypes and their association with probable rapid eye movement sleep behavior disorder severity: a brainstem tractography and machine learning investigation.","authors":"Anupa A Vijayakumari, Ken E Sakaie, Hubert H Fernandez, Benjamin L Walter","doi":"10.1007/s11682-024-00956-w","DOIUrl":"10.1007/s11682-024-00956-w","url":null,"abstract":"Rapid Eye Movement (REM) sleep behavior disorder (RBD) affects nearly half of Parkinson's disease (PD) patients. However, the structural heterogeneity within the brainstem, which regulates REM sleep, remains largely unexplored in PD. Our objective was to identify distinct PD subtypes based on microstructural characteristics in the brainstem and examine their associations with the severity of RBD. Data, including diffusion tensor imaging and REM sleep behavior disorder screening questionnaire (RBDSQ) responses, were obtained from 124 PD patients and 61 healthy controls through the Parkinson's Progression Marker Initiative database. Mean Quantitative Anisotropy (QA) values, representing axonal density, were extracted from 14 brainstem tracts and input into the semi-supervised machine learning algorithm, Heterogeneity through Discriminative Analysis (HYDRA), to cluster subtypes. Applying HYDRA, we identified two distinct PD subtypes (Subtype 1: n = 66, Subtype 2: n = 58). Subtype 2 exhibited reduced QA across assessed brainstem tracts and significantly higher RBDSQ scores than Subtype 1 and healthy controls (p < 0.001). Conversely, Subtype 1, characterized by lower RBDSQ scores, exhibited increased QA, notably in the right medial longitudinal fasciculus, when compared to Subtype 2 and controls (p < 0.001). These findings suggest that heterogeneous axonal damage in brainstem circuits correlates with variations in RBD severity, providing insights into the neurobiological underpinnings of early PD.","PeriodicalId":9192,"journal":{"name":"Brain Imaging and Behavior","volume":" ","pages":"189-194"},"PeriodicalIF":2.4,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142852827","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}

引用次数: 0

Anterior and posterior cerebral white matter show different patterns of microstructural alterations in young adult smokers. 年轻成年吸烟者的大脑前脑和后脑白质表现出不同的微结构改变模式。

IF 2.4 3区医学

Brain Imaging and Behavior Pub Date : 2025-02-01 Epub Date: 2024-12-24 DOI: 10.1007/s11682-024-00963-x

Lei Jiang, Xu Han, Yao Wang, Weina Ding, Yawen Sun, Yan Zhou, Fuchun Lin

{"title":"Anterior and posterior cerebral white matter show different patterns of microstructural alterations in young adult smokers.","authors":"Lei Jiang, Xu Han, Yao Wang, Weina Ding, Yawen Sun, Yan Zhou, Fuchun Lin","doi":"10.1007/s11682-024-00963-x","DOIUrl":"10.1007/s11682-024-00963-x","url":null,"abstract":"Neuroimaging studies revealed that smoking is associated with abnormal white matter (WM) microstructure. However, results are controversial, and the impact of smoking on the WM integrity in young smokers is still unclear. In this study, we used diffusion tensor imaging to investigate the smoking-related WM alterations in young adult smokers. One hundred and twenty-six subjects (60 current smokers and 66 nonsmokers) aged 18-29 years participated in the study. The tract-based spatial statistics with multiple diffusion indices was applied to explore diffusivity patterns associated with smoking. Correlation analysis was performed to evaluate relationships between fractional anisotropy (FA) and smoking-related variables in young adult smokers. Compared with nonsmokers, young adult smokers showed higher FA dominantly in the anterior cerebral WM regions, while lower FA mainly in the posterior cerebral WM areas. The dominant diffusivity pattern for regions with larger FA was characterized by lower radial and axial diffusion (Dr and Da), while in areas with smaller FA, higher Dr without significant difference in Da was the main diffusivity pattern. Moreover, diffusion indices in the genu and body of the corpus callosum were related with smoking-related variables. Our findings indicate that smoking may have differential effects on the WM integrity in the anterior and posterior parts of the brain, and may also accelerate brain aging in young adult smokers.","PeriodicalId":9192,"journal":{"name":"Brain Imaging and Behavior","volume":" ","pages":"195-203"},"PeriodicalIF":2.4,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142881273","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}

引用次数: 0

The study on agitation and structure of orbitofrontal cortex subregion in first-episode drug-naïve patients with schizophrenia. 首发drug-naïve精神分裂症患者的躁动及眶额叶皮层亚区结构研究。

IF 2.4 3区医学

Brain Imaging and Behavior Pub Date : 2025-02-01 Epub Date: 2024-12-11 DOI: 10.1007/s11682-024-00961-z

Yingbo Dong, Congxin Chen, Yuting Li, Peiyu Cao, Yilin Tang, Guoxin Xu, Qi Si, Runda Li, Yuxiu Sui

{"title":"The study on agitation and structure of orbitofrontal cortex subregion in first-episode drug-naïve patients with schizophrenia.","authors":"Yingbo Dong, Congxin Chen, Yuting Li, Peiyu Cao, Yilin Tang, Guoxin Xu, Qi Si, Runda Li, Yuxiu Sui","doi":"10.1007/s11682-024-00961-z","DOIUrl":"10.1007/s11682-024-00961-z","url":null,"abstract":"Agitation is one of the core symptoms of schizophrenia. The occurrence of agitation may be related to orbitofrontal cortex dysfunction. However, due to methodological heterogeneity, the relationship between agitation and orbitofrontal cortex subregions remains unclear. Based on the multi-dimensional structure of the orbitofrontal cortex subregion, this study aims to explore the relationship between orbitofrontal cortex structure and agitation in first-episode drug-naïve patients with schizophrenia. The study subjects included 50 first-episode drug-naïve patients with schizophrenia and 29 healthy controls. All participants underwent structure magnetic resonance imaging scanning. The patients' clinical symptoms were assessed using the Positive and Negative Syndrome Scale, and the agitation were evaluated using the Brief Agitation Rating Scale. SPSS 26.0 was used to compare the differences in the orbitofrontal cortex subregion between the two groups in different structure dimensions and then conduct a Pearson's partial correlations analysis to observe the relationship between orbitofrontal cortex subregion structure and agitation. There were no significant differences in demographic factors between the two groups. Our results show the folding index of the orbitofrontal cortex subregion in patients with schizophrenia were significantly smaller compared to the healthy controls. The surface area in the orbitofrontal cortex subregion is significantly negatively correlated with agitation in first-episode drug-naïve schizophrenia patients. These results suggest that structure alterations in the orbitofrontal cortex subregion may be involved in schizophrenia agitation.","PeriodicalId":9192,"journal":{"name":"Brain Imaging and Behavior","volume":" ","pages":"175-188"},"PeriodicalIF":2.4,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142805980","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}

引用次数: 0

Graph theory-driven structural and functional connectivity analyses revealing regulatory mechanisms of brain network in patients with classic trigeminal neuralgia. 图论驱动的结构和功能连接分析揭示了典型三叉神经痛患者大脑网络的调控机制。

IF 2.4 3区医学

Brain Imaging and Behavior Pub Date : 2025-02-01 Epub Date: 2024-10-10 DOI: 10.1007/s11682-024-00915-5

Zairan Wang, Zhimin Li, Gang Zhou, Jie Liu, Zongmao Zhao, Jun Gao, Yongning Li

{"title":"Graph theory-driven structural and functional connectivity analyses revealing regulatory mechanisms of brain network in patients with classic trigeminal neuralgia.","authors":"Zairan Wang, Zhimin Li, Gang Zhou, Jie Liu, Zongmao Zhao, Jun Gao, Yongning Li","doi":"10.1007/s11682-024-00915-5","DOIUrl":"10.1007/s11682-024-00915-5","url":null,"abstract":"A specific regulatory mechanism underlying classical trigeminal neuralgia (cTN) remains unknown. The present study posits that the initiation and advancement of cTN may be attributed to a self-regulatory and compensatory mechanism within the brain's limbic system. A sample size of thirty-three patients diagnosed with cTN and twenty-one normal controls were recruited for this investigation. Functional magnetic resonance imaging data were collected from all participants. Graph-theoretic analysis was employed to identify abnormal nodes induced by cTN in the brain atlas, followed by determining the brain network function in conjunction with the outcomes of regional homogeneity (ReHo) and functional connectivity (FC). During data processing, relatively strict thresholds were set for all corrections. The findings indicated that the discrepancy in small-worldness characteristics between the two cohorts primarily stemmed from the characteristic path length. Additionally, there was an overlap between brain regions exhibiting markedly reduced node efficiency in cTN patients and those exhibiting markedly reduced ReHo signal. The FC analysis of the whole brain revealed nine brain regions with reduced connectivity in the cTN group, corresponding to brain regions with diminished node efficiency. Notably, most of these abnormal brain regions were located in the limbic system, providing evidence of the compensatory mechanism of the limbic system.","PeriodicalId":9192,"journal":{"name":"Brain Imaging and Behavior","volume":" ","pages":"1-11"},"PeriodicalIF":2.4,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142458249","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}

引用次数: 0

The different impacts of functional network centrality and connectivity on the complexity of brain signals in healthy control and first-episode drug-naïve patients with major depressive disorder. 功能网络中心性和连通性对健康对照组和首次服药的重度抑郁症患者大脑信号复杂性的不同影响。

IF 2.4 3区医学

Brain Imaging and Behavior Pub Date : 2025-02-01 Epub Date: 2024-11-13 DOI: 10.1007/s11682-024-00923-5

Shanling Ji, Wei An, Jing Zhang, Cong Zhou, Chuanxin Liu, Hao Yu

{"title":"The different impacts of functional network centrality and connectivity on the complexity of brain signals in healthy control and first-episode drug-naïve patients with major depressive disorder.","authors":"Shanling Ji, Wei An, Jing Zhang, Cong Zhou, Chuanxin Liu, Hao Yu","doi":"10.1007/s11682-024-00923-5","DOIUrl":"10.1007/s11682-024-00923-5","url":null,"abstract":"In recent years, brain signal complexity has gained attention as an indicator of brain well-being and a predictor of disease and dysfunction. Brain entropy quantifies this complexity. Assessment of functional network centrality and connectivity reveals that information communication induces neural signal oscillations in certain brain regions. However, their relationship is uncertain. This work studied brain signal complexity, network centrality, and connectivity in both healthy and depressed individuals. The current work comprised a sample of 124 first-episode drug-naïve patients with major depressive disorder (MDD) and 105 healthy controls (HC). Six functional networks were created for each person using resting-state functional magnetic resonance imaging. For each network, entropy, centrality, and connectivity were computed. Using structural equation modeling, this study examined the associations between brain network entropy, centrality, and connectivity. The findings demonstrated substantial correlations of entropy with both centrality and connectivity in HC and these correlation patterns were disrupted in MDD. Compared to HC, MDD exhibited higher entropy in four networks and demonstrated changes in centralities across all networks. The structural equation modeling showed that network centralities, connectivity, and depression severity had impacts on brain entropy. Nevertheless, no impacts were observed in the opposite directions. This study indicated that the complexity of brain signals was influenced not only by the interactions among different areas of the brain but also by the severity level of depression. These findings enhanced our comprehension of the associations of brain entropy with its influential factors.","PeriodicalId":9192,"journal":{"name":"Brain Imaging and Behavior","volume":" ","pages":"111-123"},"PeriodicalIF":2.4,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142614538","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}

引用次数: 0

Links between brain structure and function in children with autism spectrum disorder by parallel independent component analysis. 通过平行独立成分分析法研究自闭症谱系障碍儿童大脑结构与功能之间的联系。

IF 2.4 3区医学

Brain Imaging and Behavior Pub Date : 2025-02-01 Epub Date: 2024-11-20 DOI: 10.1007/s11682-024-00957-9

Huibin Lu, Sha Wang, Le Gao, Zaifa Xue, Jing Liu, Xiaoxia Niu, Rongjuan Zhou, Xiaonan Guo

{"title":"Links between brain structure and function in children with autism spectrum disorder by parallel independent component analysis.","authors":"Huibin Lu, Sha Wang, Le Gao, Zaifa Xue, Jing Liu, Xiaoxia Niu, Rongjuan Zhou, Xiaonan Guo","doi":"10.1007/s11682-024-00957-9","DOIUrl":"10.1007/s11682-024-00957-9","url":null,"abstract":"Autism spectrum disorder (ASD) is a neurodevelopmental disorder accompanied by structural and functional changes in the brain. However, the relationship between brain structure and function in children with ASD remains largely obscure. In the current study, parallel independent component analysis (pICA) was performed to identify inter-modality associations by drawing on information from different modalities. Structural and resting-state functional magnetic resonance imaging data from 105 children with ASD and 102 typically developing children (obtained from the open-access Autism Brain Imaging Data Exchange database) were combined through the pICA framework. Features of structural and functional modalities were represented by the voxel-based morphometry (VBM) and amplitude of low-frequency fluctuations (ALFF), respectively. The relationship between the structural and functional components derived from the pICA was investigated by Pearson's correlation analysis, and between-group differences in these components were analyzed through the two-sample t-test. Finally, multivariate support vector regression analysis was used to analyze the relationship between the structural/functional components and Autism Diagnostic Observation Schedule (ADOS) subscores in the ASD group. This study found a significant association between VBM and ALFF components in ASD. Significant between-group differences were detected in the loading coefficients of the VBM component. Furthermore, the ALFF component loading coefficients predicted the subscores of communication and repetitive stereotypic behaviors of the ADOS. Likewise, the VBM component loading coefficients predicted the ADOS communication subscore in ASD. These findings provide evidence of a link between brain function and structure, yielding new insights into the neural mechanisms of ASD.","PeriodicalId":9192,"journal":{"name":"Brain Imaging and Behavior","volume":" ","pages":"124-137"},"PeriodicalIF":2.4,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142674787","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}

引用次数: 0

Abnormal percent amplitude of fluctuation in patients with lifelong premature ejaculation is associated with neurotransmitter profiles. 终生早泄患者异常的百分比波动幅度与神经递质特征有关。

IF 2.4 3区医学

Brain Imaging and Behavior Pub Date : 2025-02-01 Epub Date: 2024-10-25 DOI: 10.1007/s11682-024-00920-8

Jiarui Yuan, Pinxiao Wang, Dingxin Nie, Wanxiang Zheng, Kepu Liu, Jianyong Feng, Yuntao Zhang, Yanzhu Wang, Junjun Gao, Ming Gao

{"title":"Abnormal percent amplitude of fluctuation in patients with lifelong premature ejaculation is associated with neurotransmitter profiles.","authors":"Jiarui Yuan, Pinxiao Wang, Dingxin Nie, Wanxiang Zheng, Kepu Liu, Jianyong Feng, Yuntao Zhang, Yanzhu Wang, Junjun Gao, Ming Gao","doi":"10.1007/s11682-024-00920-8","DOIUrl":"10.1007/s11682-024-00920-8","url":null,"abstract":"Identifying additional imaging biomarkers of lifelong premature ejaculation (LPE) may provide valuable insights into understanding the underlying neural mechanisms of this disorder. Forty-six LPE patients and thirty-five healthy controls (HCs) were enrolled in this study. The Percent Amplitude of Fluctuation (PerAF) method was used to assess differences in brain function in LPE patients compared to HCs during the resting-state. Receiver operating characteristic (ROC) analysis was used to investigate the potential biomarkers based on the imaging findings. Correlation analysis was then applied to examine the relationships between the neuroimaging findings and clinical symptoms. We also investigated whether PerAF alterations in LPE patients were associated with specific neurotransmitter systems. Compared to HCs, LPE patients showed increased PerAF in the middle cingulate cortex (MCC), supramarginal gyrus, Rolandic operculum, parahippocampus/hippocampus (ParaHIPP/HIPP) as well as insula; and decreased PerAF in the precuneus, inferior temporal cortex plus occipital cortex. The MCC and ParaHIPP/HIPP exhibited higher classification performance on ROC analysis. Positive correlations were found between the Premature Ejaculation Diagnostic Tool score and PerAF in the insula, and the International Index of Erectile Function score and PerAF in the precuneus. Additionally, altered PerAF in LPE patients correlated significantly with the spatial distribution of dopamine, acetylcholine and epinephrine pathways. Our findings indicate that LPE patients have PerAF-related changes in certain brain regions associated with visual, sensory and/or emotional processing, and reveal that the abnormal control of ejaculatory function may be related to the combined dysregulation of neurotransmitter systems in LPE patients.","PeriodicalId":9192,"journal":{"name":"Brain Imaging and Behavior","volume":" ","pages":"41-49"},"PeriodicalIF":2.4,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142495270","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}

引用次数: 0

The association between precuneus cortex thickness and mild behavioral impairment in patients with mild stroke. 轻度脑卒中患者楔前皮层厚度与轻度行为障碍之间的关系。

IF 2.4 3区医学

Brain Imaging and Behavior Pub Date : 2025-02-01 Epub Date: 2024-11-12 DOI: 10.1007/s11682-024-00955-x

Zhengxin Liu, Ziwei Xu, Aijuan Yan, Panpan Zhang, Wenshi Wei

{"title":"The association between precuneus cortex thickness and mild behavioral impairment in patients with mild stroke.","authors":"Zhengxin Liu, Ziwei Xu, Aijuan Yan, Panpan Zhang, Wenshi Wei","doi":"10.1007/s11682-024-00955-x","DOIUrl":"10.1007/s11682-024-00955-x","url":null,"abstract":"The objective of this research was to examine the association between precuneus cortex thickness and mild behavioral impairment (MBI) in patients with mild stroke. Seventy-two patients were evaluated by high-resolution 3 T magnetic resonance and the mild behavioral impairment checklist (MBI-C). To determine the association between precuneus cortex thickness and MBI, we adjusted for demographics, vascular risk factors, and laboratory examination indicators in logistic regression analysis. In addition, we used mendelian randomization to further study the association through genetic databases. Of the 72 mild stroke patients in this study, 26 had MBI. We found a strong negative connection between precuneus cortex thickness and MBI after adjusting for any confounding variables. In patients with an initial mild stroke, the thinner the precuneus cortex, the higher the risk of MBI (OR: 0.02; 95% CI: 0.00-0.39; P < 0.05). Our study has uncovered a significant negative association between the thickness of the precuneus cortex and MBI. This finding provides a novel viewpoint for the radiological diagnosis of MBI, thereby augmenting the contribution of imaging to the diagnostic process of MBI and advancing the prediction of dementia. Specifically, in patients who have suffered mild stroke, a reduction in the cortical thickness of the precuneus has been pinpointed as crucial radiographic evidence of preclinical cognitive impairment. This insight could potentially facilitate earlier detection and intervention strategies for cognitive decline.","PeriodicalId":9192,"journal":{"name":"Brain Imaging and Behavior","volume":" ","pages":"99-110"},"PeriodicalIF":2.4,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142614536","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}

引用次数: 0

Large-scale structural covariance networks changes relate to executive function deficit in betel quid-dependent chewers. 大规模结构协方差网络变化与槟榔依赖咀嚼者的执行功能缺陷有关。

IF 2.4 3区医学

Brain Imaging and Behavior Pub Date : 2025-02-01 Epub Date: 2024-10-19 DOI: 10.1007/s11682-024-00950-2

Yihao Guo, Tao Liu, Xiaoling Xu, Tiansheng Li, Xiaoli Xiong, Huijuan Chen, Weiyuan Huang, Xianchang Zhang, Feng Chen

{"title":"Large-scale structural covariance networks changes relate to executive function deficit in betel quid-dependent chewers.","authors":"Yihao Guo, Tao Liu, Xiaoling Xu, Tiansheng Li, Xiaoli Xiong, Huijuan Chen, Weiyuan Huang, Xianchang Zhang, Feng Chen","doi":"10.1007/s11682-024-00950-2","DOIUrl":"10.1007/s11682-024-00950-2","url":null,"abstract":"Previous studies demonstrate deficits in executive function for betel quid-dependent (BQD) patients. Large-scale structural covariance network (SCN) based on gray matter (GM) morphometry may be able to explore the neural mechanism of executive dysfunction in BQD individuals. This study aims to identify spatial covariance patterns of GM volume and to investigate their association with executive dysfunction in BQD individuals. Sixty-four BQD individuals and 48 sex- and age-matched healthy controls (HCs) underwent T1-weighted structural MRI examination and executive function assessments, including the Backward Digit Span (BDS) test and Stroop Color and Word (SCW) test. Seventy SCNs based on GM volume covariance patterns were defined using independent component analysis. An SCN-based classifier was constructed to differentiate between BQD and HC individuals. Receiver operating characteristic (ROC) curves were applied to evaluate the performance of the SCN-based classifier. Linear regression analyses were performed to investigate the association between SCN network indices and executive function indices. Six SCNs had higher classifications for differentiating between BQD and HC individuals. The area under the ROC curve of the SCN-based classifier was 0.812 in the training set and 0.771 in the testing set. Furthermore, linear regression analyses demonstrated that the network indices in the thalamus were associated with BDS scores adjusted for age, sex, and education. Large-scale SCNs could provide potential imaging markers for differentiating BQD and HC groups. The loss of network index in the thalamus was associated with working memory, indicating that SCNs could reveal executive dysfunction in BQD individuals.","PeriodicalId":9192,"journal":{"name":"Brain Imaging and Behavior","volume":" ","pages":"32-40"},"PeriodicalIF":2.4,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142458259","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}

引用次数: 0