ArticleJournal of neuroscience methods2022
Altered resting fMRI spectral power in data-driven brain networks during development: A longitudinal study.
Article in Journal of neuroscience methods, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.
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6 citing papers in PubMed, 1 synthesis or guideline pooled it, 6 citations in OpenAlex.
- A comprehensive systematic review of fMRI studies on brain connectivity in healthy children and adolescents: Current insights and future directions.Developmental cognitive neuroscience · 2024Pooled it
- Dynamic Functional Connectivity Between Amygdala and Cognitive Control Network Predicts Delay Discounting in Older Adolescents.Human brain mapping · 2025Article
- Triple Interactions Between the Environment, Brain, and Behavior in Children: An ABCD Study.Biological psychiatry · 2024Article
- Article
- Intrinsic network abnormalities in children with autism spectrum disorder: an independent component analysis.Brain imaging and behavior · 2024Article
- A method for capturing dynamic spectral coupling in resting fMRI reveals domain-specific patterns in schizophrenia.Frontiers in neuroscience · 2023Article
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Authors and funding
6 authors at 4 institutions in 1 country.
Funding
Abstract
backgroundLongitudinal studies provide a more precise measure of brain development over time, as they focus on within subject variability, as opposed to cross-sectional studies. This is especially important in children, where rapid brain development occurs, and inter-subject variability can be large. Tracking healthy brain development and identifying markers of typical development are also critically important to diagnose mental disorders at early ages. NEW
methodWe track longitudinal changes in spectral power of time-courses using a unique non-binning approach assessed with group independent component analysis, in a large multi time-point resting state functional magnetic resonance imaging dataset (N = 124) containing healthy children from 8.2 to 17.6 years old (m=12.6) called the Developmental Chronnecto-Genomics study. We examined how eyes open (EO) and eyes closed (EC) resting states play a role in age-related spectral differences, as several studies have reported differences in these conditions.
resultsTypical brain development shows increased spectral power in low frequencies and decreased spectral power in high frequencies in as children grow and develop, for both the EO and EC conditions. In addition, we observed significant differences in power spectra between EO and EC and between sexes, mainly suggesting higher spectral power in females at middle and high frequencies. A replication analysis using the Adolescent Brain Cognitive Development data (N = 3371, mean age 9.9 years old) further supported this result, also showing general increases in low frequencies and decreases in higher frequencies, though some network level differences are present comparing to the main dataset. COMPARISON WITH EXISTING
methodOur results indicate that spectral power changes significantly with typical development and our non-binning approach shows these changes with more detailed frequency resolution comparing to binning approaches. This is important as many studies reported an association of higher frequency power with brain disorders.
conclusionOur findings of decreased spectral power in the high frequencies with development may be a general marker of typical development., though this needs further investigation.
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