Journal Article

FZJ-2019-01290

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Multimodal Parcellations and Extensive Behavioral Profiling Tackling the Hippocampus Gradient

Plachti, A. (Corresponding author)FZJ* ; Eickhoff, S.FZJ* ; Hoffstaedter, F.FZJ* ; Patil, K.FZJ* ; Laird, A. R. ; Fox, P. T. ; Amunts, K.FZJ* ; Genon, S.FZJ*

2019
Oxford Univ. Press Oxford

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Please use a persistent id in citations: http://hdl.handle.net/2128/23683  doi:10.1093/cercor/bhy336

Abstract: The hippocampus displays a complex organization and function that is perturbed in many neuropathologies. Histological work revealed a complex arrangement of subfields along the medial–lateral and the ventral–dorsal dimension, which contrasts with the anterior–posterior functional differentiation. The variety of maps has raised the need for an integrative multimodal view. We applied connectivity-based parcellation to 1) intrinsic connectivity 2) task-based connectivity, and 3) structural covariance, as complementary windows into structural and functional differentiation of the hippocampus. Strikingly, while functional properties (i.e., intrinsic and task-based) revealed similar partitions dominated by an anterior–posterior organization, structural covariance exhibited a hybrid pattern reflecting both functional and cytoarchitectonic subdivision. Capitalizing on the consistency of functional parcellations, we defined robust functional maps at different levels of partitions, which are openly available for the scientific community. Our functional maps demonstrated a head–body and tail partition, subdivided along the anterior–posterior and medial–lateral axis. Behavioral profiling of these fine partitions based on activation data indicated an emotion–cognition gradient along the anterior–posterior axis and additionally suggested a self-world-centric gradient supporting the role of the hippocampus in the construction of abstract representations for spatial navigation and episodic memory.

Note: Deutsche Forschungsgemeinschaft (DFG, GE 2835/1-1, EI 816/4-1),the National Institute of Mental Health (R01-MH074457), theHelmholtz Portfolio Theme “Supercomputing and Modelling forthe Human Brain,” and the European Union’s Horizon 2020Research and Innovation Programme under Grant Agreement No.720270 (HBP SGA1) and No. 785907 (HBP SGA2).Open Access Gebühren ergänzt 19.09.19

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Contributing Institute(s):

1. Strukturelle und funktionelle Organisation des Gehirns (INM-1)
2. Gehirn & Verhalten (INM-7)

Research Program(s):

1. 571 - Connectivity and Activity (POF3-571) (POF3-571)
2. SMHB - Supercomputing and Modelling for the Human Brain (HGF-SMHB-2013-2017) (HGF-SMHB-2013-2017)
3. HBP SGA1 - Human Brain Project Specific Grant Agreement 1 (720270) (720270)
4. HBP SGA2 - Human Brain Project Specific Grant Agreement 2 (785907) (785907)

Appears in the scientific report 2019

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Database coverage:
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