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1,706 claims from 1,050 papers are on the record. 46 have been checked so far; the other 1,660 have no check with a result yet.

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Status: Unchecked ×Keyword: connectomics ×Clear all

3 claims from 2 papers

1. Neuroscience › Functional Brain Connectivity Studies

   GRETNA: a graph theoretical network analysis toolbox for imaging connectomics

   Wang, Wang, Xia, Liao, Evans and He · Frontiers in Human Neuroscience · 2015

   The authors built GRETNA, a free Matlab toolbox for building and analysing brain networks from imaging data, and demonstrated it on a public resting-state fMRI dataset of 54 healthy young adults.

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   1. UncheckedIn resting-state fMRI from 54 healthy young adults, brain functional networks showed small-world, modular, hierarchical organisation with hubs, across analytical choices.“After applying the GRETNA to a publicly released R-fMRI dataset of 54 healthy young adults, we demonstrated that human brain functional networks exhibit efficient small-world, assortative, hierarchical and modular organizations and possess highly connected hubs and that these findings are robust ag…”

2. Neuroscience › Functional Brain Connectivity Studies

   Regression dynamic causal modeling for resting‐state fMRI

   Frässle, Harrison, Heinzle et al. · Human Brain Mapping · 2021

   The paper shows that regression dynamic causal modelling, first built for task fMRI, can be applied to resting-state fMRI to give directed connectivity estimates across whole-brain networks efficiently.

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   1. UncheckedIn rs-fMRI data from nearly 200 healthy people, rDCM gave biologically plausible connectivity estimates that were consistent with those from spectral DCM.“Using rs‐fMRI data from nearly 200 healthy participants, rDCM produces biologically plausible results consistent with estimates by spectral DCM.”
   2. UncheckedRegression dynamic causal modelling (rDCM) can reconstruct whole-brain networks of more than 200 areas within minutes on standard hardware.“Importantly, rDCM is computationally highly efficient, reconstructing whole‐brain networks (>200 areas) within minutes on standard hardware.”