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@ARTICLE{Auer:1038539,
author = {Auer, Hans and Cabalo, Donna Gift and Rodriguez-Cruces,
Raul and Benkarim, Oualid and Paquola, Casey and DeKraker,
Jordan and Wang, Yezhou and Valk, Sofie and Bernhardt, Boris
C. and Royer, Jessica},
title = {{F}rom histology to macroscale function in the human
amygdala},
reportid = {FZJ-2025-01524},
year = {2024},
note = {H.A. acknowledges funding from the Fonds de la Recherche du
Québec – Nature et Technologie (FRQNT) Master’s
Training Scholarship. D.G.C. acknowledges support from
FRQ-Sante and Savoy Foundation. J.R. acknowledges support
from CIHR. B.C.B. acknowledges support from NSERC, CIHR,
SickKids Foundation, BrainCanada, Future Leaders Research
Grant, Helmholtz International BigBrain Analytics and
Learning Laboratory (HIBALL), Healthy Brains and Healthy
Lives, FRQS, and the Canada Research Chairs program.},
abstract = {The amygdala is a subcortical region in the mesiotemporal
lobe that plays a key role in emotional and sensory
functions. Conventional neuroimaging experiments treat this
structure as a single, uniform entity, but there is ample
histological evidence for subregional heterogeneity in
microstructure and function. The current study characterized
subregional structure-function coupling in the human
amygdala, integrating post mortem histology and in vivo MRI
at ultrahigh fields. Core to our work was a novel
neuroinformatics approach that leveraged multiscale texture
analysis as well as non-linear dimensionality reduction
techniques to identify salient dimensions of microstructural
variation in a 3D post mortem histological reconstruction of
the human amygdala. We observed two axes of subregional
variation in this region, describing inferior-superior as
well as medio-lateral trends in microstructural
differentiation that in part recapitulated established
atlases of amygdala subnuclei. Translating our approach to
in vivo MRI data acquired at 7 Tesla, we could demonstrate
generalizability of these spatial trends across 10 healthy
adults. We then cross-referenced microstructural axes with
functional blood-oxygen-level dependent (BOLD) signal
analysis obtained during task-free conditions, and revealed
a close association of structural axes with macroscale
functional network embedding, notably the temporo-limbic,
default mode, and sensory-motor networks. Our novel
multiscale approach consolidates descriptions of amygdala
anatomy and function obtained from histological and in vivo
imaging techniques.},
cin = {INM-7},
cid = {I:(DE-Juel1)INM-7-20090406},
pnm = {5251 - Multilevel Brain Organization and Variability
(POF4-525)},
pid = {G:(DE-HGF)POF4-5251},
typ = {PUB:(DE-HGF)25},
doi = {10.1101/2024.07.09.602743},
url = {https://juser.fz-juelich.de/record/1038539},
}