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Fiberprint: Human Brain Wiring Shows Unique Fingerprint

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Kumar, Kuldeep, Desrosiers, Christian, Siddiqi, Kaleem, Colliot, Olivier et Toews, Matthew. 14 November 2017. « Fiberprint: Human Brain Wiring Shows Unique Fingerprint ». [Research article]. Substance ÉTS.

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Abstract

White matter characterization studies use the information provided by diffusion magnetic resonance imaging (dMRI) to draw cross-population inferences. However, the structure, function, and white matter geometry vary across individuals. Here, we propose a subject fingerprint, called Fiberprint, to quantify the individual uniqueness in white matter geometry using fiber trajectories. We learn a sparse coding representation for fiber trajectories by mapping them to a common space defined by a dictionary. A subject fingerprint is then generated by applying a pooling function for each bundle, thus providing a vector of bundle-wise features describing a particular subject’s white matter geometry. These features encode unique properties of fiber trajectories, such as their density along prominent bundles. An analysis of data from 861 Human Connectome Project subjects reveals that a fingerprint based on approximately 3,000 fiber trajectories can uniquely identify exemplars from the same individual. We also use fingerprints for twin/sibling identification, our observations consistent with the twin data studies of white matter integrity. Our results demonstrate that the proposed Fiberprint can effectively capture the variability in white matter fiber geometry across individuals, using a compact feature vector (dimension of 50), making this framework particularly attractive for handling large datasets.

Item Type: Non-peer reviewed article published in a journal or magazine
Refereed: No
Professor:
Professor
Desrosiers, Christian
Toews, Matthew
Affiliation: Génie logiciel et des technologies de l'information, Génie de la production automatisée
Date Deposited: 07 Aug 2018 14:53
Last Modified: 28 Jan 2020 16:31
URI: https://espace2.etsmtl.ca/id/eprint/17169

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