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Brain-wide functional connectivity of face patch neurons during rest

The brain is a highly organized, dynamic system whose network architecture is often assessed through resting functional magnetic resonance imaging (fMRI) functional connectivity. The functional interactions between brain areas, including those observed during rest, are assumed to stem from the colle...

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Autores principales: Zaldivar, Daniel, Koyano, Kenji W., Ye, Frank Q., Godlove, David C., Park, Soo Hyun, Russ, Brian E., Bhik-Ghanie, Rebecca, Leopold, David A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: National Academy of Sciences 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9457296/
https://www.ncbi.nlm.nih.gov/pubmed/36044550
http://dx.doi.org/10.1073/pnas.2206559119
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author Zaldivar, Daniel
Koyano, Kenji W.
Ye, Frank Q.
Godlove, David C.
Park, Soo Hyun
Russ, Brian E.
Bhik-Ghanie, Rebecca
Leopold, David A.
author_facet Zaldivar, Daniel
Koyano, Kenji W.
Ye, Frank Q.
Godlove, David C.
Park, Soo Hyun
Russ, Brian E.
Bhik-Ghanie, Rebecca
Leopold, David A.
author_sort Zaldivar, Daniel
collection PubMed
description The brain is a highly organized, dynamic system whose network architecture is often assessed through resting functional magnetic resonance imaging (fMRI) functional connectivity. The functional interactions between brain areas, including those observed during rest, are assumed to stem from the collective influence of action potentials carried by long-range neural projections. However, the contribution of individual neurons to brain-wide functional connectivity has not been systematically assessed. Here we developed a method to concurrently measure and compare the spiking activity of local neurons with fMRI signals measured across the brain during rest. We recorded spontaneous activity from neural populations in cortical face patches in the macaque during fMRI scanning sessions. Individual cells exhibited prominent, bilateral coupling with fMRI fluctuations in a restricted set of cortical areas inside and outside the face patch network, partially matching the pattern of known anatomical projections. Within each face patch population, a subset of neurons was positively coupled with the face patch network and another was negatively coupled. The same cells showed inverse correlations with distinct subcortical structures, most notably the lateral geniculate nucleus and brainstem neuromodulatory centers. Corresponding connectivity maps derived from fMRI seeds and local field potentials differed from the single unit maps, particularly in subcortical areas. Together, the results demonstrate that the spiking fluctuations of neurons are selectively coupled with discrete brain regions, with the coupling governed in part by anatomical network connections and in part by indirect neuromodulatory pathways.
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spelling pubmed-94572962022-09-09 Brain-wide functional connectivity of face patch neurons during rest Zaldivar, Daniel Koyano, Kenji W. Ye, Frank Q. Godlove, David C. Park, Soo Hyun Russ, Brian E. Bhik-Ghanie, Rebecca Leopold, David A. Proc Natl Acad Sci U S A Biological Sciences The brain is a highly organized, dynamic system whose network architecture is often assessed through resting functional magnetic resonance imaging (fMRI) functional connectivity. The functional interactions between brain areas, including those observed during rest, are assumed to stem from the collective influence of action potentials carried by long-range neural projections. However, the contribution of individual neurons to brain-wide functional connectivity has not been systematically assessed. Here we developed a method to concurrently measure and compare the spiking activity of local neurons with fMRI signals measured across the brain during rest. We recorded spontaneous activity from neural populations in cortical face patches in the macaque during fMRI scanning sessions. Individual cells exhibited prominent, bilateral coupling with fMRI fluctuations in a restricted set of cortical areas inside and outside the face patch network, partially matching the pattern of known anatomical projections. Within each face patch population, a subset of neurons was positively coupled with the face patch network and another was negatively coupled. The same cells showed inverse correlations with distinct subcortical structures, most notably the lateral geniculate nucleus and brainstem neuromodulatory centers. Corresponding connectivity maps derived from fMRI seeds and local field potentials differed from the single unit maps, particularly in subcortical areas. Together, the results demonstrate that the spiking fluctuations of neurons are selectively coupled with discrete brain regions, with the coupling governed in part by anatomical network connections and in part by indirect neuromodulatory pathways. National Academy of Sciences 2022-08-31 2022-09-06 /pmc/articles/PMC9457296/ /pubmed/36044550 http://dx.doi.org/10.1073/pnas.2206559119 Text en Copyright © 2022 the Author(s). Published by PNAS. https://creativecommons.org/licenses/by/4.0/This open access article is distributed under Creative Commons Attribution License 4.0 (CC BY) (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Biological Sciences
Zaldivar, Daniel
Koyano, Kenji W.
Ye, Frank Q.
Godlove, David C.
Park, Soo Hyun
Russ, Brian E.
Bhik-Ghanie, Rebecca
Leopold, David A.
Brain-wide functional connectivity of face patch neurons during rest
title Brain-wide functional connectivity of face patch neurons during rest
title_full Brain-wide functional connectivity of face patch neurons during rest
title_fullStr Brain-wide functional connectivity of face patch neurons during rest
title_full_unstemmed Brain-wide functional connectivity of face patch neurons during rest
title_short Brain-wide functional connectivity of face patch neurons during rest
title_sort brain-wide functional connectivity of face patch neurons during rest
topic Biological Sciences
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9457296/
https://www.ncbi.nlm.nih.gov/pubmed/36044550
http://dx.doi.org/10.1073/pnas.2206559119
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