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Keyword: brain parcellation ×Clear all

4 claims from 2 papers

1. Neuroscience › Functional Brain Connectivity Studies

   Statistical harmonization corrects site effects in functional connectivity measurements from multi‐site fMRI data

   Yu, Linn, Cook et al. · Human Brain Mapping · 2018

   Using a four-site resting-state fMRI dataset, the authors examined site effects on connectivity measures and applied the ComBat harmonization method to remove them and increase power to detect age associations.

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   1. Unchecked“In the current work, ComBat successfully removed site effects identified in connectivity and network measures and increased the power to detect age associations when using optimal combinations of connectivity metrics and brain atlases.”
   2. UncheckedIn this four-site fMRI dataset, the size of differences between scanning sites varied with the connectivity measure and the brain atlas used.“Indeed, in this study, we found that the magnitude of site effects depended on the choice of connectivity metric and brain atlas.”

2. Neuroscience › Functional Brain Connectivity Studies

   Brain parcellation selection: An overlooked decision point with meaningful effects on individual differences in resting-state functional connectivity

   Bryce, Flournoy, Moreira et al. · NeuroImage · 2021

   The study compared eight common brain parcellation schemes in two developmental samples and found that parcellation choice meaningfully affected resting-state connectivity results and their links to age, poverty and cognitive ability.

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   1. UncheckedNetworks sharing a name across brain parcellations, such as the default network, did not give reliable within-network functional connectivity measures.“However, networks bearing the same name across parcellations (e.g., default network) do not produce reliable within-network measures of functional connectivity.”
   2. UncheckedWhich brain parcellation scheme researchers pick changed how strongly functional connectivity was linked to age, poverty and cognitive ability in these samples.“Critically, parcellation selection significantly impacted the magnitude of associations of functional connectivity with age, poverty, and cognitive ability, producing meaningful differences in interpretation of individual differences in functional connectivity based on parcellation choice.”