MarsAtlas: A cortical parcellation atlas for functional mapping

Human Brain Mapping
Guillaume AuziasAndrea Brovelli

Abstract

An open question in neuroimaging is how to develop anatomical brain atlases for the analysis of functional data. Here, we present a cortical parcellation model based on macroanatomical information and test its validity on visuomotor-related cortical functional networks. The parcellation model is based on a recently developed cortical parameterization method (Auzias et al., [2013]: IEEE Trans Med Imaging 32:873-887), called HIP-HOP. This method exploits a set of primary and secondary sulci to create an orthogonal coordinate system on the cortical surface. A natural parcellation scheme arises from the axes of the HIP-HOP model running along the fundus of selected sulci. The resulting parcellation scheme, called MarsAtlas, complies with dorsoventral/rostrocaudal direction fields and allows inter-subject matching. To test it for functional mapping, we analyzed a MEG dataset collected from human participants performing an arbitrary visuomotor mapping task. Single-trial high-gamma activity, HGA (60-120 Hz), was estimated using spectral analysis and beamforming techniques at cortical areas arising from a Talairach atlas (i.e., Brodmann areas) and MarsAtlas. Using both atlases, we confirmed that visuomotor associations involve an incre...Continue Reading

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Citations

Mar 15, 2018·Acta Psychiatrica Scandinavica·M SehmbiB N Frey
Oct 9, 2019·The European Journal of Neuroscience·Christopher D RowleySilke Matura
Jun 24, 2020·The International Journal of Neuropsychopharmacology·Yui AsaokaYukiori Goto
Nov 21, 2018·Frontiers in Neuroscience·Christopher D RowleyNicholas A Bock
Oct 12, 2018·Nature Reviews. Neuroscience·Simon B EickhoffSarah Genon
Apr 29, 2020·AIMS Neuroscience·Amory H Danek, Virginia L Flanagin
Nov 14, 2020·Translational Psychiatry·Dorien A MaasGerard J M Martens
Sep 8, 2021·Frontiers in Behavioral Neuroscience·Diego Mac-AuliffeJean-Philippe Lachaux

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