ICN_Atlas is an SPM compatible toolbox that is aimed at facilitating the interpretation of neuroimaging data in the context of intrinsic connectivity networks (ICNs, a.k.a. resting-state networks or RSNs) by describing fMRI maps or other statistical maps in function-oriented, objective and quantitative way using a set of 15 metrics conceived to quantify the degree of ‘engagement’ of ICNs for any given statistical map of interest. Besides the functionally-derived atlasing capabilities (based on the BrainMap ICN data) the toolbox provides anatomy-based atlasing (based on the JHU and Brainnetome Atlas data), as well.
Funding: This work was partly undertaken at UCLH/UCL who received a
of funding from the UK Department of Health's NIHR Biomedical Research Centres funding scheme and at Semmelweis University who
was partly supported by the National Development Agency, Hungary [grant number TAMOP 4.2.1.B-09/1/KMR-2010-0001]. We are grateful
to the Wolfson Foundation and the Epilepsy Society for supporting the
Epilepsy Society MRI scanner. This work was partly funded through
grants and bursaries from the Bolyai Research Fellowship Program of the Hungarian Academy of Sciences; the Hungarian National Brain Research Program [grant number KTIA_NAP_13-1-2013-0001]; the Medical Research Council UK [MRC grant number G0301067]; and the Action Medical Research [grant number SP4646].