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DREAM: A Toolbox to Decode Rhythms of the Brain System
Rhythms of the brain are generated by neural oscillations across multiple frequencies. These oscillations can be decomposed into distinct frequency intervals associated with specific physiological processes. In practice, the number and ranges of decodable frequency intervals are determined by sampli...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8233299/ https://www.ncbi.nlm.nih.gov/pubmed/33409718 http://dx.doi.org/10.1007/s12021-020-09500-9 |
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author | Gong, Zhu-Qing Gao, Peng Jiang, Chao Xing, Xiu-Xia Dong, Hao-Ming White, Tonya Castellanos, F. Xavier Li, Hai-Fang Zuo, Xi-Nian |
author_facet | Gong, Zhu-Qing Gao, Peng Jiang, Chao Xing, Xiu-Xia Dong, Hao-Ming White, Tonya Castellanos, F. Xavier Li, Hai-Fang Zuo, Xi-Nian |
author_sort | Gong, Zhu-Qing |
collection | PubMed |
description | Rhythms of the brain are generated by neural oscillations across multiple frequencies. These oscillations can be decomposed into distinct frequency intervals associated with specific physiological processes. In practice, the number and ranges of decodable frequency intervals are determined by sampling parameters, often ignored by researchers. To improve the situation, we report on an open toolbox with a graphical user interface for decoding rhythms of the brain system (DREAM). We provide worked examples of DREAM to investigate frequency-specific performance of both neural (spontaneous brain activity) and neurobehavioral (in-scanner head motion) oscillations. DREAM decoded the head motion oscillations and uncovered that younger children moved their heads more than older children across all five frequency intervals whereas boys moved more than girls in the age of 7 to 9 years. It is interesting that the higher frequency bands contain more head movements, and showed stronger age-motion associations but weaker sex-motion interactions. Using data from the Human Connectome Project, DREAM mapped the amplitude of these neural oscillations into multiple frequency bands and evaluated their test-retest reliability. The resting-state brain ranks its spontaneous oscillation’s amplitudes spatially from high in ventral-temporal areas to low in ventral-occipital areas when the frequency band increased from low to high, while those in part of parietal and ventral frontal regions are reversed. The higher frequency bands exhibited more reliable amplitude measurements, implying more inter-individual variability of the amplitudes for the higher frequency bands. In summary, DREAM adds a reliable and valid tool to mapping human brain function from a multiple-frequency window into brain waves. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at (10.1007/s12021-020-09500-9) |
format | Online Article Text |
id | pubmed-8233299 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-82332992021-07-09 DREAM: A Toolbox to Decode Rhythms of the Brain System Gong, Zhu-Qing Gao, Peng Jiang, Chao Xing, Xiu-Xia Dong, Hao-Ming White, Tonya Castellanos, F. Xavier Li, Hai-Fang Zuo, Xi-Nian Neuroinformatics Software Original Article Rhythms of the brain are generated by neural oscillations across multiple frequencies. These oscillations can be decomposed into distinct frequency intervals associated with specific physiological processes. In practice, the number and ranges of decodable frequency intervals are determined by sampling parameters, often ignored by researchers. To improve the situation, we report on an open toolbox with a graphical user interface for decoding rhythms of the brain system (DREAM). We provide worked examples of DREAM to investigate frequency-specific performance of both neural (spontaneous brain activity) and neurobehavioral (in-scanner head motion) oscillations. DREAM decoded the head motion oscillations and uncovered that younger children moved their heads more than older children across all five frequency intervals whereas boys moved more than girls in the age of 7 to 9 years. It is interesting that the higher frequency bands contain more head movements, and showed stronger age-motion associations but weaker sex-motion interactions. Using data from the Human Connectome Project, DREAM mapped the amplitude of these neural oscillations into multiple frequency bands and evaluated their test-retest reliability. The resting-state brain ranks its spontaneous oscillation’s amplitudes spatially from high in ventral-temporal areas to low in ventral-occipital areas when the frequency band increased from low to high, while those in part of parietal and ventral frontal regions are reversed. The higher frequency bands exhibited more reliable amplitude measurements, implying more inter-individual variability of the amplitudes for the higher frequency bands. In summary, DREAM adds a reliable and valid tool to mapping human brain function from a multiple-frequency window into brain waves. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at (10.1007/s12021-020-09500-9) Springer US 2021-01-07 2021 /pmc/articles/PMC8233299/ /pubmed/33409718 http://dx.doi.org/10.1007/s12021-020-09500-9 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Software Original Article Gong, Zhu-Qing Gao, Peng Jiang, Chao Xing, Xiu-Xia Dong, Hao-Ming White, Tonya Castellanos, F. Xavier Li, Hai-Fang Zuo, Xi-Nian DREAM: A Toolbox to Decode Rhythms of the Brain System |
title | DREAM: A Toolbox to Decode Rhythms of the Brain System |
title_full | DREAM: A Toolbox to Decode Rhythms of the Brain System |
title_fullStr | DREAM: A Toolbox to Decode Rhythms of the Brain System |
title_full_unstemmed | DREAM: A Toolbox to Decode Rhythms of the Brain System |
title_short | DREAM: A Toolbox to Decode Rhythms of the Brain System |
title_sort | dream: a toolbox to decode rhythms of the brain system |
topic | Software Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8233299/ https://www.ncbi.nlm.nih.gov/pubmed/33409718 http://dx.doi.org/10.1007/s12021-020-09500-9 |
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