TY  - JOUR
A1  - Bastiani, Matteo
A1  - Oros-Peusquens, Ana-Maria
A1  - Seehaus, Arne
A1  - Brenner, Daniel
A1  - Möllenhoff, Klaus
A1  - Celik, Avdo
A1  - Felder, Jörg
A1  - Bratzke, Hansjürgen
A1  - Shah, Nadim J.
A1  - Galuske, Ralf
A1  - Goebel, Rainer
A1  - Roebroeck, Alard
T1  - Automatic segmentation of human cortical layer-complexes and architectural areas using ex vivo diffusion MRI and its validation
T2  - Frontiers in neuroscience
N2  - Recently, several magnetic resonance imaging contrast mechanisms have been shown to distinguish cortical substructure corresponding to selected cortical layers. Here, we investigate cortical layer and area differentiation by automatized unsupervised clustering of high-resolution diffusion MRI data. Several groups of adjacent layers could be distinguished in human primary motor and premotor cortex. We then used the signature of diffusion MRI signals along cortical depth as a criterion to detect area boundaries and find borders at which the signature changes abruptly. We validate our clustering results by histological analysis of the same tissue. These results confirm earlier studies which show that diffusion MRI can probe layer-specific intracortical fiber organization and, moreover, suggests that it contains enough information to automatically classify architecturally distinct cortical areas. We discuss the strengths and weaknesses of the automatic clustering approach and its appeal for MR-based cortical histology.
KW  - diffusion MRI
KW  - cortical layers and areas
KW  - ultra-high field MRI
KW  - MR-based histology
KW  - histological validation
Y1  - 2016
UR  - http://publikationen.ub.uni-frankfurt.de/frontdoor/index/index/docId/41982
UR  - https://nbn-resolving.org/urn:nbn:de:hebis:30:3-419827
UR  - https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5102896
SN  - 1662-453X
N1  - Copyright © 2016 Bastiani, Oros-Peusquens, Seehaus, Brenner, Möllenhoff, Celik, Felder, Bratzke, Shah, Galuske, Goebel and Roebroeck. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY) http://creativecommons.org/licenses/by/4.0/ . The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
VL  - 10
IS  - Artikel 487
PB  - Frontiers Research Foundation
CY  - Lausanne
ER  -