Literature DB >> 33409718

DREAM : A Toolbox to Decode Rhythms of the Brain System.

Zhu-Qing Gong1,2,3, Peng Gao4, Chao Jiang1,2, Xiu-Xia Xing5, Hao-Ming Dong2, Tonya White6, F Xavier Castellanos7,8, Hai-Fang Li9, Xi-Nian Zuo10,11,12,13,14,15.   

Abstract

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.

Entities:  

Keywords:  Brain oscillations; Development; Head motion; Reliability

Year:  2021        PMID: 33409718     DOI: 10.1007/s12021-020-09500-9

Source DB:  PubMed          Journal:  Neuroinformatics        ISSN: 1539-2791


  32 in total

1.  Assessment and development of executive function (EF) during childhood.

Authors:  Peter Anderson
Journal:  Child Neuropsychol       Date:  2002-06       Impact factor: 2.500

Review 2.  Neuronal oscillations in cortical networks.

Authors:  György Buzsáki; Andreas Draguhn
Journal:  Science       Date:  2004-06-25       Impact factor: 47.728

3.  Frequency-dependent changes in the amplitude of low-frequency fluctuations in amnestic mild cognitive impairment: a resting-state fMRI study.

Authors:  Ying Han; Jinhui Wang; Zhilian Zhao; Baoquan Min; Jie Lu; Kuncheng Li; Yong He; Jianping Jia
Journal:  Neuroimage       Date:  2010-11-28       Impact factor: 6.556

4.  Development of distinct control networks through segregation and integration.

Authors:  Damien A Fair; Nico U F Dosenbach; Jessica A Church; Alexander L Cohen; Shefali Brahmbhatt; Francis M Miezin; Deanna M Barch; Marcus E Raichle; Steven E Petersen; Bradley L Schlaggar
Journal:  Proc Natl Acad Sci U S A       Date:  2007-08-06       Impact factor: 11.205

5.  Genetic topography of brain morphology.

Authors:  Chi-Hua Chen; Mark Fiecas; E D Gutiérrez; Matthew S Panizzon; Lisa T Eyler; Eero Vuoksimaa; Wesley K Thompson; Christine Fennema-Notestine; Donald J Hagler; Terry L Jernigan; Michael C Neale; Carol E Franz; Michael J Lyons; Bruce Fischl; Ming T Tsuang; Anders M Dale; William S Kremen
Journal:  Proc Natl Acad Sci U S A       Date:  2013-09-30       Impact factor: 11.205

6.  A BOLD window into brain waves.

Authors:  David Balduzzi; Brady A Riedner; Giulio Tononi
Journal:  Proc Natl Acad Sci U S A       Date:  2008-10-08       Impact factor: 11.205

7.  Functional connectivity in the motor cortex of resting human brain using echo-planar MRI.

Authors:  B Biswal; F Z Yetkin; V M Haughton; J S Hyde
Journal:  Magn Reson Med       Date:  1995-10       Impact factor: 4.668

8.  Decomposing intra-subject variability in children with attention-deficit/hyperactivity disorder.

Authors:  Adriana Di Martino; Manely Ghaffari; Jocelyn Curchack; Philip Reiss; Christopher Hyde; Marina Vannucci; Eva Petkova; Donald F Klein; F Xavier Castellanos
Journal:  Biol Psychiatry       Date:  2008-04-18       Impact factor: 13.382

9.  Distinct neural signatures detected for ADHD subtypes after controlling for micro-movements in resting state functional connectivity MRI data.

Authors:  Damien A Fair; Joel T Nigg; Swathi Iyer; Deepti Bathula; Kathryn L Mills; Nico U F Dosenbach; Bradley L Schlaggar; Maarten Mennes; David Gutman; Saroja Bangaru; Jan K Buitelaar; Daniel P Dickstein; Adriana Di Martino; David N Kennedy; Clare Kelly; Beatriz Luna; Julie B Schweitzer; Katerina Velanova; Yu-Feng Wang; Stewart Mostofsky; F Xavier Castellanos; Michael P Milham
Journal:  Front Syst Neurosci       Date:  2013-02-04

10.  The minimal preprocessing pipelines for the Human Connectome Project.

Authors:  Matthew F Glasser; Stamatios N Sotiropoulos; J Anthony Wilson; Timothy S Coalson; Bruce Fischl; Jesper L Andersson; Junqian Xu; Saad Jbabdi; Matthew Webster; Jonathan R Polimeni; David C Van Essen; Mark Jenkinson
Journal:  Neuroimage       Date:  2013-05-11       Impact factor: 6.556

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  1 in total

1.  Globally Aging Cortical Spontaneous Activity Revealed by Multiple Metrics and Frequency Bands Using Resting-State Functional MRI.

Authors:  Xiu-Xia Xing
Journal:  Front Aging Neurosci       Date:  2021-12-28       Impact factor: 5.750

  1 in total

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