Literature DB >> 34718460

Individualized Functional Subnetworks Connect Human Striatum and Frontal Cortex.

Evan M Gordon1, Timothy O Laumann2, Scott Marek2, Dillan J Newbold3, Jacqueline M Hampton2, Nicole A Seider3, David F Montez3, Ashley M Nielsen4, Andrew N Van5, Annie Zheng3, Ryland Miller2,3, Joshua S Siegel2, Benjamin P Kay3, Abraham Z Snyder1,3, Deanna J Greene6, Bradley L Schlaggar7,8,9, Steven E Petersen1,3,10,11, Steven M Nelson12,13, Nico U F Dosenbach1,3,7,14,15.   

Abstract

The striatum and cerebral cortex are interconnected via multiple recurrent loops that play a major role in many neuropsychiatric conditions. Primate corticostriatal connections can be precisely mapped using invasive tract-tracing. However, noninvasive human research has not mapped these connections with anatomical precision, limited in part by the practice of averaging neuroimaging data across individuals. Here we utilized highly sampled resting-state functional connectivity MRI for individual-specific precision functional mapping (PFM) of corticostriatal connections. We identified ten individual-specific subnetworks linking cortex-predominately frontal cortex-to striatum, most of which converged with nonhuman primate tract-tracing work. These included separable connections between nucleus accumbens core/shell and orbitofrontal/medial frontal gyrus; between anterior striatum and dorsomedial prefrontal cortex; between dorsal caudate and lateral prefrontal cortex; and between middle/posterior putamen and supplementary motor/primary motor cortex. Two subnetworks that did not converge with nonhuman primates were connected to cortical regions associated with human language function. Thus, precision subnetworks identify detailed, individual-specific, neurobiologically plausible corticostriatal connectivity that includes human-specific language networks.
© The Author(s) 2021. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Entities:  

Keywords:  brain networks; fMRI; functional connectivity; individual variability; striatum

Mesh:

Year:  2022        PMID: 34718460      PMCID: PMC9247416          DOI: 10.1093/cercor/bhab387

Source DB:  PubMed          Journal:  Cereb Cortex        ISSN: 1047-3211            Impact factor:   4.861


  118 in total

Review 1.  The primate basal ganglia: parallel and integrative networks.

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Authors:  H Künzle
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7.  Widespread corticostriate projections from temporal cortex of the rhesus monkey.

Authors:  G W Van Hoesen; E H Yeterian; R Lavizzo-Mourey
Journal:  J Comp Neurol       Date:  1981-06-20       Impact factor: 3.215

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Review 9.  Corticostriatal Dysfunction in Huntington's Disease: The Basics.

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