Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Song, Xiaopeng, Zhang, Yi, Liu, Yijun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
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
_version_ 1782300728265539584
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
work_keys_str_mv AT songxiaopeng frequencyspecificityofregionalhomogeneityintherestingstatehumanbrain
AT zhangyi frequencyspecificityofregionalhomogeneityintherestingstatehumanbrain
AT liuyijun frequencyspecificityofregionalhomogeneityintherestingstatehumanbrain