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- W2002193265 abstract "Introduction It has been demonstrated that very low frequency temporal fluctuations in rapidly sampled blood oxygenation level dependent (BOLD) weighted echoplanar imaging data are phase-locked between many right and left-hemisphere symmetric functional cortices such as precentral gyrus (i.e. motor cortex) in human subjects at rest (1, 2). It has been postulated by the authors that these correlations in lowfrequency fluctuations are a reflection of functional connectivity. It has also been shown that Resting-state acquisitions are, in fact, timeseries acquisitions in which the subject is asked to refrain from overt activity. The “state” of the brain is otherwise uncontrolled. A recent experiment by Franson et al showed residual effects of BOLD signal lasting several tens of seconds after very brief neuronal stimulation(3). Thus, a possible explanation of the a posterion’ observations of low-frequency temporal correlation between functionally connected anatomic regions is that uncontrolled brain activity excites these connected regions and subsequent filtering isolates the long-term effects from higher frequency noise fluctuations, which are non-specific to function (e.g. cardiac and respiratory-related BOLD fluctuations). As a further test of this, we designed an experiment in which subjects continuously performed a cognitive task, which excites a network of brain regions. The task is performed at a rate of 0.4Hz. The data are then filtered to remove fluctuations above 0.08Hz (corresponding to a period of 12.5 seconds). If low frequency fluctuations are a measure of functional connectivity, then the correlations between brain regions in the filtered data should reflect the network of brain regions involved in the task." @default.
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- W2002193265 date "2000-05-01" @default.
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- W2002193265 title "Temporal correlations in low frequency BOLD fluctuations reveal functional networks" @default.
- W2002193265 doi "https://doi.org/10.1016/s1053-8119(00)91441-1" @default.
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