Your browser doesn't support javascript.
loading
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.
Afiliação
  • Gong ZQ; Key Laboratory of Behavioral Sciences, Institute of Psychology, Chinese Academy of Sciences, Beijing, China.
  • Gao P; National Basic Public Science Data Center, Beijing, China.
  • Jiang C; Department of Psychology, University of Chinese Academy of Sciences, Beijing, China.
  • Xing XX; College of Information and Computer, Taiyuan University of Technology, Taiyuan, China.
  • Dong HM; Key Laboratory of Behavioral Sciences, Institute of Psychology, Chinese Academy of Sciences, Beijing, China.
  • White T; National Basic Public Science Data Center, Beijing, China.
  • Castellanos FX; Department of Applied Mathematics, College of Mathematics, Faculty of Science, Beijing University of Technology, Beijing, China.
  • Li HF; National Basic Public Science Data Center, Beijing, China.
  • Zuo XN; Department of Child and Adolescent Psychiatry, Erasmus University, Rotterdam, Netherlands.
Neuroinformatics ; 19(3): 529-545, 2021 07.
Article em En | MEDLINE | ID: mdl-33409718
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.
Assuntos
Palavras-chave

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Ondas Encefálicas / Conectoma Limite: Adolescent / Child / Female / Humans / Male Idioma: En Revista: Neuroinformatics Assunto da revista: INFORMATICA MEDICA / NEUROLOGIA Ano de publicação: 2021 Tipo de documento: Article País de afiliação: China

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Ondas Encefálicas / Conectoma Limite: Adolescent / Child / Female / Humans / Male Idioma: En Revista: Neuroinformatics Assunto da revista: INFORMATICA MEDICA / NEUROLOGIA Ano de publicação: 2021 Tipo de documento: Article País de afiliação: China