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Brainstem Modulation of Large-Scale Intrinsic Cortical Activity Correlations
Brain activity fluctuates continuously, even in the absence of changes in sensory input or motor output. These intrinsic activity fluctuations are correlated across brain regions and are spatially organized in macroscale networks. Variations in the strength, topography, and topology of correlated ac...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6794422/ https://www.ncbi.nlm.nih.gov/pubmed/31649516 http://dx.doi.org/10.3389/fnhum.2019.00340 |
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author | van den Brink, R. L. Pfeffer, T. Donner, T. H. |
author_facet | van den Brink, R. L. Pfeffer, T. Donner, T. H. |
author_sort | van den Brink, R. L. |
collection | PubMed |
description | Brain activity fluctuates continuously, even in the absence of changes in sensory input or motor output. These intrinsic activity fluctuations are correlated across brain regions and are spatially organized in macroscale networks. Variations in the strength, topography, and topology of correlated activity occur over time, and unfold upon a backbone of long-range anatomical connections. Subcortical neuromodulatory systems send widespread ascending projections to the cortex, and are thus ideally situated to shape the temporal and spatial structure of intrinsic correlations. These systems are also the targets of the pharmacological treatment of major neurological and psychiatric disorders, such as Parkinson’s disease, depression, and schizophrenia. Here, we review recent work that has investigated how neuromodulatory systems shape correlations of intrinsic fluctuations of large-scale cortical activity. We discuss studies in the human, monkey, and rodent brain, with a focus on non-invasive recordings of human brain activity. We provide a structured but selective overview of this work and distil a number of emerging principles. Future efforts to chart the effect of specific neuromodulators and, in particular, specific receptors, on intrinsic correlations may help identify shared or antagonistic principles between different neuromodulatory systems. Such principles can inform models of healthy brain function and may provide an important reference for understanding altered cortical dynamics that are evident in neurological and psychiatric disorders, potentially paving the way for mechanistically inspired biomarkers and individualized treatments of these disorders. |
format | Online Article Text |
id | pubmed-6794422 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-67944222019-10-24 Brainstem Modulation of Large-Scale Intrinsic Cortical Activity Correlations van den Brink, R. L. Pfeffer, T. Donner, T. H. Front Hum Neurosci Neuroscience Brain activity fluctuates continuously, even in the absence of changes in sensory input or motor output. These intrinsic activity fluctuations are correlated across brain regions and are spatially organized in macroscale networks. Variations in the strength, topography, and topology of correlated activity occur over time, and unfold upon a backbone of long-range anatomical connections. Subcortical neuromodulatory systems send widespread ascending projections to the cortex, and are thus ideally situated to shape the temporal and spatial structure of intrinsic correlations. These systems are also the targets of the pharmacological treatment of major neurological and psychiatric disorders, such as Parkinson’s disease, depression, and schizophrenia. Here, we review recent work that has investigated how neuromodulatory systems shape correlations of intrinsic fluctuations of large-scale cortical activity. We discuss studies in the human, monkey, and rodent brain, with a focus on non-invasive recordings of human brain activity. We provide a structured but selective overview of this work and distil a number of emerging principles. Future efforts to chart the effect of specific neuromodulators and, in particular, specific receptors, on intrinsic correlations may help identify shared or antagonistic principles between different neuromodulatory systems. Such principles can inform models of healthy brain function and may provide an important reference for understanding altered cortical dynamics that are evident in neurological and psychiatric disorders, potentially paving the way for mechanistically inspired biomarkers and individualized treatments of these disorders. Frontiers Media S.A. 2019-10-09 /pmc/articles/PMC6794422/ /pubmed/31649516 http://dx.doi.org/10.3389/fnhum.2019.00340 Text en Copyright © 2019 van den Brink, Pfeffer and Donner. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Neuroscience van den Brink, R. L. Pfeffer, T. Donner, T. H. Brainstem Modulation of Large-Scale Intrinsic Cortical Activity Correlations |
title | Brainstem Modulation of Large-Scale Intrinsic Cortical Activity Correlations |
title_full | Brainstem Modulation of Large-Scale Intrinsic Cortical Activity Correlations |
title_fullStr | Brainstem Modulation of Large-Scale Intrinsic Cortical Activity Correlations |
title_full_unstemmed | Brainstem Modulation of Large-Scale Intrinsic Cortical Activity Correlations |
title_short | Brainstem Modulation of Large-Scale Intrinsic Cortical Activity Correlations |
title_sort | brainstem modulation of large-scale intrinsic cortical activity correlations |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6794422/ https://www.ncbi.nlm.nih.gov/pubmed/31649516 http://dx.doi.org/10.3389/fnhum.2019.00340 |
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