ArticleNeuroinformatics2021
DREAM : A Toolbox to Decode Rhythms of the Brain System.
Article in Neuroinformatics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
- Intoxication due to Δ9-tetrahydrocannabinol is characterized by disrupted prefrontal cortex activity.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2024Trial
- Cortical activations in cognitive task performance at multiple frequency bands.Cerebral cortex (New York, N.Y. : 1991) · 2024Article
- Article
- Connectivity gradients in spontaneous brain activity at multiple frequency bands.Cerebral cortex (New York, N.Y. : 1991) · 2023Article
- A longitudinal resource for population neuroscience of school-age children and adolescents in China.Scientific data · 2023Article
- Frequency-dependent effective connections between local signals and the global brain signal during resting-state.Cognitive neurodynamics · 2023Article
- [Frequency-Specific Alterations of Spontaneous Brain Activity in First-Episode Drug-Naïve Schizophrenia].Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition · 2023Article
- A schizophrenia study based on multi-frequency dynamic functional connectivity analysis of fMRI.Frontiers in human neuroscience · 2023Article
- Optimizing network neuroscience computation of individual differences in human spontaneous brain activity for test-retest reliability.Network neuroscience (Cambridge, Mass.) · 2023Article
- A unified model of the pathophysiology of bipolar disorder.Molecular psychiatry · 2022Review
- Chinese Color Nest Project : An accelerated longitudinal brain-mind cohort.Developmental cognitive neuroscience · 2021Review
- Interindividual Signatures of fMRI Temporal Fluctuations.Cerebral cortex (New York, N.Y. : 1991) · 2021Article
- Globally Aging Cortical Spontaneous Activity Revealed by Multiple Metrics and Frequency Bands Using Resting-State Functional MRI.Frontiers in aging neuroscience · 2021Article
- Frequency-dependent circuits anchored in the dorsal and ventral left anterior insula.Scientific reports · 2020Article
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Authors and funding
9 authors.
Funding
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.
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