Track-weighted dynamic functional connectivity (TW-dFC): A new method to study time-resolved functional connectivity

Journal article


Calamante, Fernando, Smith, Robert E., Liang, Xiaoyun, Zalesky, Andrew and Connelly, Alan. (2017) Track-weighted dynamic functional connectivity (TW-dFC): A new method to study time-resolved functional connectivity. Brain Structure and Function. 222(8), pp. 3761 - 3774. https://doi.org/10.1007/s00429-017-1431-1
AuthorsCalamante, Fernando, Smith, Robert E., Liang, Xiaoyun, Zalesky, Andrew and Connelly, Alan
Abstract

Interest in the study of brain connectivity is growing, particularly in understanding the dynamics of the structural/functional connectivity relation. Structural and functional connectivity are most often analysed independently of each other. Track-weighted functional connectivity (TW-FC) was recently proposed as a means to combine structural/functional connectivity information into a single image. We extend here TW-FC in two important ways: first, all the functional data are used without having to define a prior functional network (cf. TW-FC generates a map for a pre-specified network); second, we incorporate time-resolved connectivity information, thus allowing dynamic characterisation of functional connectivity. We refer to this technique as track-weighted dynamic functional connectivity (TW-dFC), which fuses structural/functional connectivity data into a four-dimensional image, providing a new approach to investigate dynamic connectivity. The structural connectivity information effectively ‘constrains’ the extremely large number of possible connections in the functional connectivity data (i.e. each voxel’s connection to every other voxel), thus providing a way of reducing the problem’s dimensionality while still maintaining key data features. The methodology is demonstrated in data from eight healthy subjects, and independent component analysis was subsequently applied to parcellate the corpus callosum, as an illustration of a possible application. TW-dFC maps demonstrate that different white matter pathways can have very different temporal characteristics, corresponding to correlated fluctuations in the grey matter regions they link. A realistic parcellation of the corpus callosum was generated, which was qualitatively similar to topography previously reported. TW-dFC, therefore, provides a complementary new tool to investigate the dynamic nature of brain connectivity.

Keywordsstructural connectivity; functional connectivity; fibre-tracking; parcellation sliding window; networks
Year2017
JournalBrain Structure and Function
Journal citation222 (8), pp. 3761 - 3774
PublisherSpringer
ISSN1863-2653
Digital Object Identifier (DOI)https://doi.org/10.1007/s00429-017-1431-1
Scopus EID2-s2.0-85018367144
Page range3761 - 3774
Research GroupMary MacKillop Institute for Health Research
Grant IDnhmrc/1047648
Place of publicationGermany
EditorsL. Zaborszky and K. Zilles
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