Brain Imaging and Behavior最新文献

Anterior and posterior cerebral white matter show different patterns of microstructural alterations in young adult smokers.

IF 2.4 3区医学

Brain Imaging and Behavior Pub 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":"https://doi.org/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":""},"PeriodicalIF":2.4,"publicationDate":"2024-12-24","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

Parkinson's disease subtypes and their association with probable rapid eye movement sleep behavior disorder severity: a brainstem tractography and machine learning investigation.

IF 2.4 3区医学

Brain Imaging and Behavior Pub 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":"https://doi.org/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":""},"PeriodicalIF":2.4,"publicationDate":"2024-12-19","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

The study on agitation and structure of orbitofrontal cortex subregion in first-episode drug-naïve patients with schizophrenia.

IF 2.4 3区医学

Brain Imaging and Behavior Pub 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":"https://doi.org/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":""},"PeriodicalIF":2.4,"publicationDate":"2024-12-11","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

Alterations in surface-based amplitude of low-frequency fluctuations primary open-angle glaucoma link to neurotransmitter profiling and visual impairment severity.

IF 2.4 3区医学

Brain Imaging and Behavior Pub Date : 2024-12-03 DOI: 10.1007/s11682-024-00959-7

Zihan Chai, Bingbing Yang, Xiaoxia Qu, Ting Li, Qian Wang, Junfang Xian

{"title":"Alterations in surface-based amplitude of low-frequency fluctuations primary open-angle glaucoma link to neurotransmitter profiling and visual impairment severity.","authors":"Zihan Chai, Bingbing Yang, Xiaoxia Qu, Ting Li, Qian Wang, Junfang Xian","doi":"10.1007/s11682-024-00959-7","DOIUrl":"https://doi.org/10.1007/s11682-024-00959-7","url":null,"abstract":"The study aimed to examine alterations in surface-based amplitude of low-frequency fluctuations (ALFF) and fractional amplitude of low-frequency fluctuations (fALFF) in primary open-angle glaucoma (POAG) patients using resting-state functional magnetic resonance imaging (rs-fMRI), and to investigate their relationships with visual function and molecular profiling. A total of 70 POAG patients and 45 age- and sex-matched healthy controls (HCs) underwent rs-fMRI scans. The differences between POAG and HCs groups were compared by two-sample t-test. Spearman's correlation analyses assessed the relationship between ALFF/fALFF values and ophthalmic parameters. Spatial correlation analysis of the patients-control difference map with brain imaging data further explores underlying neurobiological mechanisms. POAG patients displayed altered brain activity compared to HCs, including decreased ALFF/fALFF in the visual network and increased in the frontoparietal and default mode networks. They exhibited reduced fALFF in the somatomotor network and increased ALFF in the dorsal and ventral attention networks. These changes are linked to neurotransmitter systems, with fALFF particularly associated with the dopamine system. Moreover, the altered ALFF/fALFF in brain regions related to vision and attention - the occipital lobe, temporal lobe, parietal lobe, paracentral lobule, and frontal lobe correlated with ophthalmic examination parameters. Surface-based ALFF/fALFF in POAG decreased in visual processing regions and increased in brain regions related to cognitive control, working memory, and attention. These changes were linked to neurotransmitter distributions important for emotional stability and mental health, potentially informing treatment approaches for POAG patients.","PeriodicalId":9192,"journal":{"name":"Brain Imaging and Behavior","volume":" ","pages":""},"PeriodicalIF":2.4,"publicationDate":"2024-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142766335","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

Influence of depression severity on interhemispheric functional integration: an analysis from the REST-meta-MDD database.

IF 2.4 3区医学

Brain Imaging and Behavior Pub Date : 2024-11-30 DOI: 10.1007/s11682-024-00960-0

Jie Ding, Junfeng Peng, Qian Zhang

{"title":"Influence of depression severity on interhemispheric functional integration: an analysis from the REST-meta-MDD database.","authors":"Jie Ding, Junfeng Peng, Qian Zhang","doi":"10.1007/s11682-024-00960-0","DOIUrl":"https://doi.org/10.1007/s11682-024-00960-0","url":null,"abstract":"Major depressive disorder (MDD) is a pervasive mental disorder that significantly impairs functional capabilities, underscoring the necessity for precise stratification of its severity to facilitate tailored treatment. This study investigated the utility of voxel-mirrored homotopic connectivity (VMHC) derived from resting-state functional magnetic resonance imaging (fMRI) data as a neuroimaging biomarker to differentiate varying severities of MDD in a sample drawn from the REST-meta-MDD project, which included 392 first-episode MDD patients and 440 healthy controls (HC) from 9 sites. Patients were classified into mild to moderate and severe depression groups according to the 17-item Hamilton Depression Scale (HAMD) scores. VMHC differences between these subgroups and their associations with HAMD scores were further examined. The results revealed significant reductions in VMHC within the fusiform gyrus for patients with mild to moderate depression compared to HCs, alongside more extensive reductions across the insula, postcentral gyrus, and angular gyrus in severe depression. Notably, increased VMHC in the middle cingulate cortex was identified in severe MDD patients relative to those with mild to moderate depression, with this increase showed a significant positive correlation with the HAMD scores. Additionally, receiver operating characteristic (ROC) curve analysis demonstrated that VMHC values in these regions effectively differentiate patients from HCs and across varying severities of MDD. These findings suggest that VMHC could serve as a valuable metric for clinical diagnosis and the stratification of depression severity, providing insights into the underlying neurobiological mechanisms associated with the disorder.","PeriodicalId":9192,"journal":{"name":"Brain Imaging and Behavior","volume":" ","pages":""},"PeriodicalIF":2.4,"publicationDate":"2024-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142754743","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

Altered degree centrality and functional connectivity in girls with central precocious puberty. 中枢性性早熟女孩的度中心性和功能连通性发生改变。

IF 2.4 3区医学

Brain Imaging and Behavior Pub Date : 2024-11-27 DOI: 10.1007/s11682-024-00954-y

Zhaoxia Qin, Hang Qu, Wenlong Zou, Xiaoxia Du, Yuefeng Li, Wei Wang

{"title":"Altered degree centrality and functional connectivity in girls with central precocious puberty.","authors":"Zhaoxia Qin, Hang Qu, Wenlong Zou, Xiaoxia Du, Yuefeng Li, Wei Wang","doi":"10.1007/s11682-024-00954-y","DOIUrl":"https://doi.org/10.1007/s11682-024-00954-y","url":null,"abstract":"Girls who suffer from central precocious puberty (CPP) are at risk of experiencing detrimental psychological and behavioural consequences, along with impaired brain development. However, the mechanism by which puberty hormones affect patients with CPP remains unclear. This study aimed to use degree centrality (DC) analysis to explore the impact of premature activation of the hypothalamic-pituitary-gonadal (HPG) axis on brain functional development in girls with CPP. In this cross-sectional study, thirty-four girls (mean ± SD, 7.89 ± 0.81 years) with CPP and 25 age-matched girls without CPP (mean ± SD, 7.58 ± 0.73 years) underwent resting-state functional magnetic resonance imaging. We used DC analysis to explore brain network properties in CPP girls compared to non-CPP girls. Seed-based FC analysis was performed to identify the connections responsible for the observed differences. Our findings showed that female CPP patients had increased DC in the posterior lobe of the cerebellum and prefrontal areas and increased functional connectivity (FC) between the posterior lobe of the cerebellum and default mode network (DMN) regions relative to age-matched non-CPP girls. Additionally, compared with non-CPP patients, female CPP patients exhibited decreased DC in the bilateral superior parietal gyri and left superior occipital gyrus and reduced FC between the left superior occipital gyrus and right calcarine. A negative correlation was found between basal follicle-stimulating hormone level and DC of the bilateral superior parietal gyri in girls with CPP. The current research provides evidence that premature activation of the HPG axis is associated with the development of cortical function, particularly involving the posterior lobe of the cerebellum, DMN, and prefrontal, parietal, and occipital cortices. Our findings suggest that girls with CPP require attention and early treatment for cognitive and emotional problems as well as brain development in clinical practice.","PeriodicalId":9192,"journal":{"name":"Brain Imaging and Behavior","volume":" ","pages":""},"PeriodicalIF":2.4,"publicationDate":"2024-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142726066","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 : 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":"https://doi.org/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":""},"PeriodicalIF":2.4,"publicationDate":"2024-11-20","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

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 : 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":"https://doi.org/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":""},"PeriodicalIF":2.4,"publicationDate":"2024-11-13","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

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 : 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":"https://doi.org/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":""},"PeriodicalIF":2.4,"publicationDate":"2024-11-12","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

Brain connectomes in youth at risk for serious mental illness: a longitudinal perspective. 严重精神疾病高危青少年的大脑连接体：纵向视角。

IF 2.4 3区医学

Brain Imaging and Behavior Pub Date : 2024-11-08 DOI: 10.1007/s11682-024-00953-z

Mohammed K Shakeel, Paul D Metzak, Mike Lasby, Xiangyu Long, Roberto Souza, Signe Bray, Benjamin I Goldstein, Glenda MacQueen, JianLi Wang, Sidney H Kennedy, Jean Addington, Catherine Lebel

{"title":"Brain connectomes in youth at risk for serious mental illness: a longitudinal perspective.","authors":"Mohammed K Shakeel, Paul D Metzak, Mike Lasby, Xiangyu Long, Roberto Souza, Signe Bray, Benjamin I Goldstein, Glenda MacQueen, JianLi Wang, Sidney H Kennedy, Jean Addington, Catherine Lebel","doi":"10.1007/s11682-024-00953-z","DOIUrl":"https://doi.org/10.1007/s11682-024-00953-z","url":null,"abstract":"Identifying biomarkers for serious mental illnesses (SMI) has significant implications for prevention and early intervention. In the current study, changes in whole brain structural and functional connectomes were investigated in youth at transdiagnostic risk over a one-year period. Based on clinical assessments, participants were assigned to one of 5 groups: healthy controls (HC; n = 33), familial risk for serious mental illness (stage 0; n = 31), mild symptoms (stage 1a; n = 37), attenuated syndromes (stage 1b; n = 61), or discrete disorder (transition; n = 9). Constrained spherical deconvolution was used to generate whole brain tractography maps, which were then used to calculate connectivity matrices for graph theory analysis. Graph theory was also used to analyze correlations of functional magnetic resonance imaging (fMRI) signal between pairs of brain regions. Linear mixed models revealed structural and functional abnormalities in global metrics of small world lambda, and resting state networks involving the fronto-parietal, default mode, and deep grey matter networks, along with the visual and dorsal attention networks. Machine learning analysis additionally identified changes in nodal metrics of betweenness centrality in the angular gyrus and bilateral temporal gyri as potential features which can discriminate between the groups. Our findings further support the view that abnormalities in large scale networks (particularly those involving fronto-parietal, temporal, default mode, and deep grey matter networks) may underlie transdiagnostic risk for SMIs.","PeriodicalId":9192,"journal":{"name":"Brain Imaging and Behavior","volume":" ","pages":""},"PeriodicalIF":2.4,"publicationDate":"2024-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142603156","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