Probabilistic flow in brain-wide activity
Patterns of low frequency brain-wide activity have drawn attention across multiple disciplines in neuroscience. Brain-wide activity patterns are often described through correlations, which capture concurrent increases and decreases in neural activity. More recently, several groups have described rep...
Main Authors: | , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier
2020-12-01
|
Series: | NeuroImage |
Online Access: | http://www.sciencedirect.com/science/article/pii/S1053811920308077 |
_version_ | 1818872853868576768 |
---|---|
author | Anish Mitra Abraham Z. Snyder Marcus E. Raichle |
author_facet | Anish Mitra Abraham Z. Snyder Marcus E. Raichle |
author_sort | Anish Mitra |
collection | DOAJ |
description | Patterns of low frequency brain-wide activity have drawn attention across multiple disciplines in neuroscience. Brain-wide activity patterns are often described through correlations, which capture concurrent increases and decreases in neural activity. More recently, several groups have described reproducible temporal sequences across the brain, illustrating precise long-distance control over the timing of low frequency activity. Features of correlation and temporal organization both point to a systems-level structure of brain activity consisting of large-scale networks and their mutual interactions. Yet a unified view for understanding large networks and their interactions remains elusive. Here, we propose a framework for computing probabilistic flow in brain-wide activity. We demonstrate how flow probabilities are modulated across rest and task states and show that the probabilistic perspective captures both intra- and inter-network dynamics. Finally, we suggest that a probabilistic framework may prove fruitful in characterizing low frequency brain-wide activity in health and disease. |
first_indexed | 2024-12-19T12:45:25Z |
format | Article |
id | doaj.art-4bdd5195c5014531a17822a68d103e44 |
institution | Directory Open Access Journal |
issn | 1095-9572 |
language | English |
last_indexed | 2024-12-19T12:45:25Z |
publishDate | 2020-12-01 |
publisher | Elsevier |
record_format | Article |
series | NeuroImage |
spelling | doaj.art-4bdd5195c5014531a17822a68d103e442022-12-21T20:20:48ZengElsevierNeuroImage1095-95722020-12-01223117321Probabilistic flow in brain-wide activityAnish Mitra0Abraham Z. Snyder1Marcus E. Raichle2Department of Psychiatry, Stanford University, 401 Quarry Rd, Stanford, CA 94304, United States; Corresponding author.Department of Neurology, Washington University, St. Louis, United StatesDepartment of Neurology, Washington University, St. Louis, United StatesPatterns of low frequency brain-wide activity have drawn attention across multiple disciplines in neuroscience. Brain-wide activity patterns are often described through correlations, which capture concurrent increases and decreases in neural activity. More recently, several groups have described reproducible temporal sequences across the brain, illustrating precise long-distance control over the timing of low frequency activity. Features of correlation and temporal organization both point to a systems-level structure of brain activity consisting of large-scale networks and their mutual interactions. Yet a unified view for understanding large networks and their interactions remains elusive. Here, we propose a framework for computing probabilistic flow in brain-wide activity. We demonstrate how flow probabilities are modulated across rest and task states and show that the probabilistic perspective captures both intra- and inter-network dynamics. Finally, we suggest that a probabilistic framework may prove fruitful in characterizing low frequency brain-wide activity in health and disease.http://www.sciencedirect.com/science/article/pii/S1053811920308077 |
spellingShingle | Anish Mitra Abraham Z. Snyder Marcus E. Raichle Probabilistic flow in brain-wide activity NeuroImage |
title | Probabilistic flow in brain-wide activity |
title_full | Probabilistic flow in brain-wide activity |
title_fullStr | Probabilistic flow in brain-wide activity |
title_full_unstemmed | Probabilistic flow in brain-wide activity |
title_short | Probabilistic flow in brain-wide activity |
title_sort | probabilistic flow in brain wide activity |
url | http://www.sciencedirect.com/science/article/pii/S1053811920308077 |
work_keys_str_mv | AT anishmitra probabilisticflowinbrainwideactivity AT abrahamzsnyder probabilisticflowinbrainwideactivity AT marcuseraichle probabilisticflowinbrainwideactivity |