دورية أكاديمية
An atlas of trait associations with resting-state and task-evoked human brain functional organizations in the UK Biobank.
العنوان: | An atlas of trait associations with resting-state and task-evoked human brain functional organizations in the UK Biobank. |
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المؤلفون: | Zhao B; Department of Statistics and Data Science, University of Pennsylvania, Philadelphia, PA 19104, USA.; Department of Statistics, Purdue University, West Lafayette, IN 47907, USA.; These authors contributed equally to this work., Li T; Department of Radiology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.; Biomedical Research Imaging Center, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.; These authors contributed equally to this work., Li Y; Department of Statistics, Purdue University, West Lafayette, IN 47907, USA., Fan Z; Department of Statistics and Data Science, University of Pennsylvania, Philadelphia, PA 19104, USA.; Department of Statistics, Purdue University, West Lafayette, IN 47907, USA., Xiong D; Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA., Wang X; Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA., Gao M; Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA., Smith SM; Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK., Zhu H; Biomedical Research Imaging Center, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.; Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.; Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.; Department of Computer Science, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.; Department of Statistics and Operations Research, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA. |
المصدر: | Imaging neuroscience (Cambridge, Mass.) [Imaging Neurosci (Camb)] 2023; Vol. 1, pp. 1-23. Date of Electronic Publication: 2023 Sep 07. |
نوع المنشور: | Journal Article |
اللغة: | English |
بيانات الدورية: | Publisher: The MIT Press Country of Publication: United States NLM ID: 9918663686606676 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2837-6056 (Electronic) Linking ISSN: 28376056 NLM ISO Abbreviation: Imaging Neurosci (Camb) Subsets: PubMed not MEDLINE |
أسماء مطبوعة: | Original Publication: Cambridge, Massachusetts : The MIT Press, [2023]- |
مستخلص: | Functional magnetic resonance imaging (fMRI) has been widely used to identify brain regions linked to critical functions, such as language and vision, and to detect tumors, strokes, brain injuries, and diseases. It is now known that large sample sizes are necessary for fMRI studies to detect small effect sizes and produce reproducible results. Here we report a systematic association analysis of 647 traits with imaging features extracted from resting-state and task-evoked fMRI data of more than 40,000 UK Biobank participants. We used a parcellation-based approach to generate 64,620 functional connectivity measures to reveal fine-grained details about cerebral cortex functional organizations. The difference between functional organizations at rest and during task was examined, and we have prioritized important brain regions and networks associated with a variety of human traits and clinical outcomes. For example, depression was most strongly associated with decreased connectivity in the somatomotor network. We have made our results publicly available and developed a browser framework to facilitate the exploration of brain function-trait association results (http://fmriatlas.org/). Competing Interests: Declaration of Competing Interest The authors declare no competing financial interests. |
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معلومات مُعتمدة: | R01 MH116527 United States MH NIMH NIH HHS; RF1 AG082938 United States AG NIA NIH HHS |
فهرسة مساهمة: | Keywords: Brain function; Functional connectivity; Human traits; Mental Health; Resting fMRI; Task fMRI; UK Biobank |
تواريخ الأحداث: | Date Created: 20240521 Latest Revision: 20240525 |
رمز التحديث: | 20240525 |
مُعرف محوري في PubMed: | PMC11105703 |
DOI: | 10.1162/imag_a_00015 |
PMID: | 38770197 |
قاعدة البيانات: | MEDLINE |
تدمد: | 2837-6056 |
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DOI: | 10.1162/imag_a_00015 |