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• W3198711616 endingPage "5702" @default.
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• W3198711616 abstract "The application of ℓ1-regularized machine learning models to high-dimensional connectomes offers a promising methodology to assess clinical-anatomical correlations in humans. Here, we integrate the connectome-based lesion-symptom mapping framework with sparse partial least squares regression (sPLS-R) to isolate elements of the connectome associated with speech repetition deficits. By mapping over 2,500 connections of the structural connectome in a cohort of 71 stroke-induced cases of aphasia presenting with varying left-hemisphere lesions and repetition impairment, sPLS-R was trained on 50 subjects to algorithmically identify connectomic features on the basis of their predictive value. The highest ranking features were subsequently used to generate a parsimonious predictive model for speech repetition whose predictions were evaluated on a held-out set of 21 subjects. A set of 10 short- and long-range parieto-temporal connections were identified, collectively delineating the broader circuitry of the dorsal white matter network of the language system. The strongest contributing feature was a short-range connection in the supramarginal gyrus, approximating the cortical localization of area Spt, with parallel long-range pathways interconnecting posterior nodes in supramarginal and superior temporal cortex with anterior nodes in both ventral and-notably-in dorsal premotor cortex, respectively. The collective disruption of these pathways indexed repetition performance in the held-out set of participants, suggesting that these impairments might be characterized as a parietotemporal disconnection syndrome impacting cortical area Spt and its associated white matter circuits of the frontal lobe as opposed to being purely a disconnection of the arcuate fasciculus." @default.
• W3198711616 created "2021-09-13" @default.
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• W3198711616 date "2021-09-01" @default.
• W3198711616 modified "2023-09-27" @default.
• W3198711616 title "Isolating the white matter circuitry of the dorsal language stream: <scp>Connectome‐Symptom</scp> Mapping in stroke induced aphasia" @default.
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• W3198711616 doi "https://doi.org/10.1002/hbm.25647" @default.
• W3198711616 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/8559486" @default.
• W3198711616 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/34469044" @default.
• W3198711616 hasPublicationYear "2021" @default.

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