TY - JOUR
AU - Wachinger, Christian
AU - Golland, Polina
AU - Kremen, William
AU - Fischl, Bruce
AU - Reuter, Martin
TI - BrainPrint: A discriminative characterization of brain morphology
JO - NeuroImage
VL - 109
SN - 1053-8119
CY - Orlando, Fla.
PB - Academic Press
M1 - DZNE-2025-00875
SP - 232 - 248
PY - 2015
AB - We introduce BrainPrint, a compact and discriminative representation of brain morphology. BrainPrint captures shape information of an ensemble of cortical and subcortical structures by solving the eigenvalue problem of the 2D and 3D Laplace-Beltrami operator on triangular (boundary) and tetrahedral (volumetric) meshes. This discriminative characterization enables new ways to study the similarity between brains; the focus can either be on a specific brain structure of interest or on the overall brain similarity. We highlight four applications for BrainPrint in this article: (i) subject identification, (ii) age and sex prediction, (iii) brain asymmetry analysis, and (iv) potential genetic influences on brain morphology. The properties of BrainPrint require the derivation of new algorithms to account for the heterogeneous mix of brain structures with varying discriminative power. We conduct experiments on three datasets, including over 3000 MRI scans from the ADNI database, 436 MRI scans from the OASIS dataset, and 236 MRI scans from the VETSA twin study. All processing steps for obtaining the compact representation are fully automated, making this processing framework particularly attractive for handling large datasets.
KW - Age Factors
KW - Aged
KW - Brain: anatomy & histology
KW - Brain Mapping: methods
KW - Female
KW - Humans
KW - Imaging, Three-Dimensional: methods
KW - Magnetic Resonance Imaging: methods
KW - Male
KW - Sex Factors
KW - Signal Processing, Computer-Assisted
KW - Twins: genetics
KW - Brain asymmetry (Other)
KW - Brain shape (Other)
KW - Brain similarity (Other)
KW - Large brain datasets (Other)
KW - Morphological heritability (Other)
KW - Subject identification (Other)
LB - PUB:(DE-HGF)16
DO - DOI:10.1016/j.neuroimage.2015.01.032
UR - https://pub.dzne.de/record/280031
ER -