Literature DB >> 31945937

Graph Spectral Characterization of Brain Cortical Morphology.

Sevil Maghsadhagh, Anders Eklund, Hamid Behjat.   

Abstract

The human brain cortical layer has a convoluted morphology that is unique to each individual. Characterization of the cortical morphology is necessary in longitudinal studies of structural brain change, as well as in discriminating individuals in health and disease. A method for encoding the cortical morphology in the form of a graph is presented. The design of graphs that encode the global cerebral hemisphere cortices as well as localized cortical regions is proposed. Spectral metrics derived from these graphs are then studied and proposed as descriptors of cortical morphology. As proof-of-concept of their applicability in characterizing cortical morphology, the metrics are studied in the context of hemispheric asymmetry as well as gender dependent discrimination of cortical morphology.

Entities:  

Year:  2019        PMID: 31945937     DOI: 10.1109/EMBC.2019.8856468

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  2 in total

1.  Cortical Surface-Informed Volumetric Spatial Smoothing of fMRI Data via Graph Signal Processing.

Authors:  Hamid Behjat; Carl-Fredrik Westin; Iman Aganj
Journal:  Annu Int Conf IEEE Eng Med Biol Soc       Date:  2021-11

2.  Diffusion-informed spatial smoothing of fMRI data in white matter using spectral graph filters.

Authors:  David Abramian; Martin Larsson; Anders Eklund; Iman Aganj; Carl-Fredrik Westin; Hamid Behjat
Journal:  Neuroimage       Date:  2021-05-14       Impact factor: 6.556

  2 in total

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