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Europe PubMed Central
Other literature type . 2013
Data sources: PubMed Central
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Human Brain Mapping
Article . 2013 . Peer-reviewed
License: Wiley Online Library User Agreement
Data sources: Crossref
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Complexity of low‐frequency blood oxygen level‐dependent fluctuations covaries with local connectivity

Authors: Jeffrey S, Anderson; Brandon A, Zielinski; Jared A, Nielsen; Michael A, Ferguson;

Complexity of low‐frequency blood oxygen level‐dependent fluctuations covaries with local connectivity

Abstract

Very low‐frequency blood oxygen level‐dependent (BOLD) fluctuations have emerged as a valuable tool for describing brain anatomy, neuropathology, and development. Such fluctuations exhibit power law frequency dynamics, with largest amplitude at lowest frequencies. The biophysical mechanisms generating such fluctuations are poorly understood. Using publicly available data from 1,019 subjects of age 7–30, we show that BOLD fluctuations exhibit temporal complexity that is linearly related to local connectivity (regional homogeneity), consistently and significantly covarying across subjects and across gray matter regions. This relationship persisted independently of covariance with gray matter density or standard deviation of BOLD signal. During late neurodevelopment, BOLD fluctuations were unchanged with age in association cortex while becoming more random throughout the rest of the brain. These data suggest that local interconnectivity may play a key role in establishing the complexity of low‐frequency BOLD fluctuations underlying functional magnetic resonance imaging connectivity. Stable low‐frequency power dynamics may emerge through segmentation and integration of connectivity during development of distributed large‐scale brain networks. Hum Brain Mapp 35:1273–1283, 2014. © 2013 Wiley Periodicals, Inc.

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Microsoft Academic Graph classification: Low frequency Brain mapping Standard deviation Power dynamics medicine Blood-oxygen-level dependent Resting state fMRI medicine.diagnostic_test Covariance Psychology Functional magnetic resonance imaging Neuroscience

Keywords

Adult, Male, Adolescent, Databases, Factual, Article, Motion, Young Adult, Neural Pathways, Humans, Radiology, Nuclear Medicine and imaging, Child, Brain Mapping, Nerve Fibers, Unmyelinated, Radiological and Ultrasound Technology, Brain, Signal Processing, Computer-Assisted, Magnetic Resonance Imaging, Oxygen, Neurology, Cerebrovascular Circulation, Female, Neurology (clinical), Anatomy, Artifacts, Head

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  • citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    32
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
32
Top 10%
Average
Top 10%
Related to Research communities
Neuroinformatics
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