Findings from published research, checked in the open

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1,223 claims from 771 papers are on the record. 45 have been checked so far; the other 1,178 have no check with a result yet.

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Keyword: brain functional organization ×Clear all

4 claims from 2 papers

1. Neuroscience › Functional Brain Connectivity Studies

   Precision Functional Mapping of Individual Human Brains

   Gordon, Laumann, Gilmore et al. · Neuron · 2017

   The authors built a highly sampled MRI dataset from ten adults, made individual-specific functional connectomes, and propose precision individual connectomics as a model for studying healthy and diseased brains.

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   1. UncheckedMapping each person's brain network separately revealed new kinds of variation in network layout and organisation, some matching structural and task-based brain features.“This individual-connectome approach revealed several new types of spatial and organizational variability in brain networks, including unique network features and topologies that corresponded with structural and task-derived brain features.”

2. Neuroscience › Functional Brain Connectivity Studies

   On the Stability of BOLD fMRI Correlations

   Laumann, Snyder, Mitra et al. · Cerebral Cortex · 2016

   Using simulations and several sets of fMRI data, the paper finds that task states change BOLD correlations, but apparent changes during rest are mostly sampling variability, head motion and sleep state.

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   1. UncheckedIn resting-state fMRI, apparent moment-to-moment changes in brain-region correlations are largely explained by sampling variability.“However, we find that observations of "dynamic" BOLD correlations during the resting state are largely explained by sampling variability.”
   2. UncheckedAfter sampling variability, head motion accounts for the largest share of apparent changes in brain-region correlations during rest, according to this paper.“Beyond sampling variability, the largest part of observed "dynamics" during rest is attributable to head motion.”
   3. UncheckedSome of the apparent moment-to-moment variation in brain-region correlations during rest is attributed to changes in how awake or asleep people are.“An additional component of dynamic variability during rest is attributable to fluctuating sleep state.”