Characterization of the spatial structure of local functional connectivity using multidistance average correlation measures

Dídac Macià, Jesus Pujol, Laura Blanco-Hinojo, Gerard Martínez-Vilavella, Rocío Martín-Santos, Joan Deus

Research output: Contribution to journalArticleResearchpeer-review

4 Citations (Scopus)


© Copyright 2018, Mary Ann Liebert, Inc. 2018. There is ample evidence from basic research in neuroscience of the importance of local corticocortical networks. Millimetric resolution is achievable with current functional magnetic resonance imaging (fMRI) scanners and sequences, and consequently a number of "local" activity similarity measures have been defined to describe patterns of segregation and integration at this spatial scale. We have introduced the use of IsoDistant Average Correlation (IDAC), easily defined as the average fMRI temporal correlation of a given voxel with other voxels placed at increasingly separated isodistant intervals, to characterize the curve of local fMRI signal similarities. IDAC curves can be statistically compared using parametric multivariate statistics. Furthermore, by using red-green-blue color coding to display jointly IDAC values belonging to three different distance lags, IDAC curves can also be displayed as multidistance IDAC maps. We applied IDAC analysis to a sample of 41 subjects scanned under two different conditions, a resting state and an auditory-visual continuous stimulation. Multidistance IDAC mapping was able to discriminate between gross anatomofunctional cortical areas and, moreover, was sensitive to modulation between the two brain conditions in areas known to activate and deactivate during audiovisual tasks. Unlike previous fMRI local similarity measures already in use, our approach draws special attention to the continuous smooth pattern of local functional connectivity.
Original languageEnglish
Pages (from-to)276-287
JournalBrain Connectivity
Issue number5
Publication statusPublished - 1 Jun 2018


  • brain activity
  • connectivity maps
  • fMRI
  • local activity integration


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