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Frequency Specificity of Regional Homogeneity in the Resting-State Human Brain
Resting state-fMRI studies have found that the inter-areal correlations in cortical networks concentrate within ultra-low frequencies (0.01–0.04 Hz) while long-distance connections within subcortical networks distribute over a wider frequency range (0.01–0.14 Hz). However, the frequency characterist...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3900644/ https://www.ncbi.nlm.nih.gov/pubmed/24466256 http://dx.doi.org/10.1371/journal.pone.0086818 |
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author | Song, Xiaopeng Zhang, Yi Liu, Yijun |
author_facet | Song, Xiaopeng Zhang, Yi Liu, Yijun |
author_sort | Song, Xiaopeng |
collection | PubMed |
description | Resting state-fMRI studies have found that the inter-areal correlations in cortical networks concentrate within ultra-low frequencies (0.01–0.04 Hz) while long-distance connections within subcortical networks distribute over a wider frequency range (0.01–0.14 Hz). However, the frequency characteristics of regional homogeneity (ReHo) in different areas are still unclear. To examine the ReHo properties in different frequency bands, a data-driven method, Empirical Mode Decomposition (EMD), was adopted to decompose the time series of each voxel into several components with distinct frequency bands. ReHo values in each of the components were then calculated. Our results showed that ReHo in cortical areas were higher and more frequency-dependent than those in the subcortical regions. BOLD oscillations of 0.02–0.04 Hz mainly contributed to the cortical ReHo, whereas the ReHo in limbic areas involved a wider frequency range and were dominated by higher-frequency BOLD oscillations (>0.08 Hz). The frequency characteristics of ReHo are distinct between different parts of the striatum, with the frequency band of 0.04–0.1 Hz contributing the most to ReHo in caudate nucleus, and oscillations lower than 0.02 Hz contributing more to ReHo in putamen. The distinct frequency-specific ReHo properties of different brain areas may arise from the assorted cytoarchitecture or synaptic types in these areas. Our work may advance the understanding of the neural-physiological basis of local BOLD activities and the functional specificity of different brain regions. |
format | Online Article Text |
id | pubmed-3900644 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-39006442014-01-24 Frequency Specificity of Regional Homogeneity in the Resting-State Human Brain Song, Xiaopeng Zhang, Yi Liu, Yijun PLoS One Research Article Resting state-fMRI studies have found that the inter-areal correlations in cortical networks concentrate within ultra-low frequencies (0.01–0.04 Hz) while long-distance connections within subcortical networks distribute over a wider frequency range (0.01–0.14 Hz). However, the frequency characteristics of regional homogeneity (ReHo) in different areas are still unclear. To examine the ReHo properties in different frequency bands, a data-driven method, Empirical Mode Decomposition (EMD), was adopted to decompose the time series of each voxel into several components with distinct frequency bands. ReHo values in each of the components were then calculated. Our results showed that ReHo in cortical areas were higher and more frequency-dependent than those in the subcortical regions. BOLD oscillations of 0.02–0.04 Hz mainly contributed to the cortical ReHo, whereas the ReHo in limbic areas involved a wider frequency range and were dominated by higher-frequency BOLD oscillations (>0.08 Hz). The frequency characteristics of ReHo are distinct between different parts of the striatum, with the frequency band of 0.04–0.1 Hz contributing the most to ReHo in caudate nucleus, and oscillations lower than 0.02 Hz contributing more to ReHo in putamen. The distinct frequency-specific ReHo properties of different brain areas may arise from the assorted cytoarchitecture or synaptic types in these areas. Our work may advance the understanding of the neural-physiological basis of local BOLD activities and the functional specificity of different brain regions. Public Library of Science 2014-01-23 /pmc/articles/PMC3900644/ /pubmed/24466256 http://dx.doi.org/10.1371/journal.pone.0086818 Text en © 2014 Song et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Song, Xiaopeng Zhang, Yi Liu, Yijun Frequency Specificity of Regional Homogeneity in the Resting-State Human Brain |
title | Frequency Specificity of Regional Homogeneity in the Resting-State Human Brain |
title_full | Frequency Specificity of Regional Homogeneity in the Resting-State Human Brain |
title_fullStr | Frequency Specificity of Regional Homogeneity in the Resting-State Human Brain |
title_full_unstemmed | Frequency Specificity of Regional Homogeneity in the Resting-State Human Brain |
title_short | Frequency Specificity of Regional Homogeneity in the Resting-State Human Brain |
title_sort | frequency specificity of regional homogeneity in the resting-state human brain |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3900644/ https://www.ncbi.nlm.nih.gov/pubmed/24466256 http://dx.doi.org/10.1371/journal.pone.0086818 |
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