2023
DOI: 10.1038/s41398-023-02458-7
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Amygdala subdivisions exhibit aberrant whole-brain functional connectivity in relation to stress intolerance and psychotic symptoms in 22q11.2DS

Abstract: The amygdala is a key region in emotional regulation, which is often impaired in psychosis. However, it is unclear if amygdala dysfunction directly contributes to psychosis, or whether it contributes to psychosis through symptoms of emotional dysregulation. We studied the functional connectivity of amygdala subdivisions in patients with 22q11.2DS, a known genetic model for psychosis susceptibility. We investigated how dysmaturation of each subdivision’s connectivity contributes to positive psychotic symptoms a… Show more

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“…To assess multivariate relationships between behavior and brain activations during internal and external attention, we ran a partial least squares correlation (PLS-C) analysis (Krishnan et al, 2011) in the ADHD all group. PLS-C is a well-established methodology used to assess brain-behavior relationships in various clinical populations (Delavari et al, 2022; Ziegler et al, 2013; Zöller et al, 2017) and we employed it using myPLS, a publicly available, Matlab-based toolbox (https://github.com/MIPLabCH/myPLS). To summarize the methodology used in PLS-C, we first computed correlations between matrix Y , which consisted of participants’ behavioral scores (ASRSi, ASRShi, and ALS), and matrix X , which consisted of voxel data per subject during the four task conditions (IntPos, IntNeg, ExtPos, ExtNeg).…”
Section: Methodsmentioning
confidence: 99%
“…To assess multivariate relationships between behavior and brain activations during internal and external attention, we ran a partial least squares correlation (PLS-C) analysis (Krishnan et al, 2011) in the ADHD all group. PLS-C is a well-established methodology used to assess brain-behavior relationships in various clinical populations (Delavari et al, 2022; Ziegler et al, 2013; Zöller et al, 2017) and we employed it using myPLS, a publicly available, Matlab-based toolbox (https://github.com/MIPLabCH/myPLS). To summarize the methodology used in PLS-C, we first computed correlations between matrix Y , which consisted of participants’ behavioral scores (ASRSi, ASRShi, and ALS), and matrix X , which consisted of voxel data per subject during the four task conditions (IntPos, IntNeg, ExtPos, ExtNeg).…”
Section: Methodsmentioning
confidence: 99%