Higher Frequency Network Activity Flow Predicts Lower Frequency Node Activity in Intrinsic Low-Frequency BOLD Fluctuations
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چکیده
منابع مشابه
Higher Frequency Network Activity Flow Predicts Lower Frequency Node Activity in Intrinsic Low-Frequency BOLD Fluctuations
The brain remains electrically and metabolically active during resting conditions. The low-frequency oscillations (LFO) of the blood oxygen level-dependent (BOLD) signal of functional magnetic resonance imaging (fMRI) coherent across distributed brain regions are known to exhibit features of this activity. However, these intrinsic oscillations may undergo dynamic changes in time scales of secon...
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Cross-correlation of low-frequency temporal fluctuations (<0.08 Hz) was used to correlate widely separated anatomic regions during continuous performance of a spatial working memory task. The regions of highest correlation to right-hemisphere dorsolateral prefrontal cortex correspond to the regions of largest baseline signal change in a conventional block-style functional MRI paradigm. Addition...
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Functional connectivity refers to correlations between spatially remote neurophysiological events as described by Friston & Büchel. Functional connectivity is simply a statement about the observed correlations and does not imply how the correlation is mediated. Effective connectivity is closer to inter-neuronal connectivity as it refers to influence that one neuronal system exerts over another ...
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Introduction Low frequency fluctuations (LFFs) in the resting state (RS) BOLD signal have been utilized to map functional connectivity in the rat brain [1]. The BOLD signal contains contributions from cerebral blood flow (CBF), cerebral blood volume (CBV), and the local rate of oxygen consumption (CMRO2). RS data collected with CBV weighting results in a significant shift of the low frequency p...
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ژورنال
عنوان ژورنال: PLoS ONE
سال: 2013
ISSN: 1932-6203
DOI: 10.1371/journal.pone.0064466