Brain connectomes in youth at risk for serious mental illness: an exploratory analysis

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dc.contributor.authorMetzak, Paul D.
dc.contributor.authorShakeel, Mohammed K.
dc.contributor.authorLong, Xiangyu
dc.contributor.authorLasby, Mike
dc.contributor.authorSouza, Roberto
dc.contributor.authorBray, Signe
dc.contributor.authorGoldstein, Benjamin I.
dc.contributor.authorMacQueen, Glenda
dc.contributor.authorWang, JianLi
dc.contributor.authorKennedy, Sidney H.
dc.contributor.authorAddington, Jean
dc.contributor.authorLebel, Catherine
dc.date.accessioned2022-09-18T00:03:31Z
dc.date.available2022-09-18T00:03:31Z
dc.date.issued2022-09-15
dc.date.updated2022-09-18T00:03:31Z
dc.description.abstractAbstract Background Identifying early biomarkers of serious mental illness (SMI)—such as changes in brain structure and function—can aid in early diagnosis and treatment. Whole brain structural and functional connectomes were investigated in youth at risk for SMI. Methods Participants were classified as 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) based on clinical assessments. Imaging data was collected from two sites. Graph-theory based analysis was performed on the connectivity matrix constructed from whole-brain white matter fibers derived from constrained spherical deconvolution of the diffusion tensor imaging (DTI) scans, and from the correlations between brain regions measured with resting state functional magnetic resonance imaging (fMRI) data. Results Linear mixed effects analysis and analysis of covariance revealed no significant differences between groups in global or nodal metrics after correction for multiple comparisons. A follow up machine learning analysis broadly supported the findings. Several non-overlapping frontal and temporal network differences were identified in the structural and functional connectomes before corrections. Conclusions Results suggest significant brain connectome changes in youth at transdiagnostic risk may not be evident before illness onset.
dc.identifier.citationBMC Psychiatry. 2022 Sep 15;22(1):611
dc.identifier.doihttps://doi.org/10.1186/s12888-022-04118-4
dc.identifier.urihttp://hdl.handle.net/1880/115235
dc.language.rfc3066en
dc.rights.holderThe Author(s)
dc.titleBrain connectomes in youth at risk for serious mental illness: an exploratory analysis
dc.typeJournal Article
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