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Journal Article

Hippocampal metabolic subregions and networks: Behavioral, molecular, and pathological aging profiles

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Saberi,  Amin       
Institute of Systems Neuroscience, University Hospital Düsseldorf, Germany;
Research Center Jülich, Germany;
Otto Hahn Group Cognitive Neurogenetics, MPI for Human Cognitive and Brain Sciences, Max Planck Society;

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Balajoo_2023.pdf
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Balajoo_2023_Suppl.pdf
(Supplementary material), 545KB

Balajoo_2023_Suppl1.docx
(Supplementary material), 28KB

Citation

Maleki Balajoo, S., Eickhoff, S. B., Masouleh, S. K., Plachti, A., Waite, L., Saberi, A., et al. (2023). Hippocampal metabolic subregions and networks: Behavioral, molecular, and pathological aging profiles. Alzheimer's and Dementia, 19(11), 4787-4804. doi:10.1002/alz.13056.


Cite as: https://hdl.handle.net/21.11116/0000-000C-EC80-9
Abstract
Introduction: Hippocampal local and network dysfunction is the hallmark of Alzheimer's disease (AD).

Methods: We characterized the spatial patterns of hippocampus differentiation based on brain co-metabolism in healthy elderly participants and demonstrated their relevance to study local metabolic changes and associated dysfunction in pathological aging.

Results: The hippocampus can be differentiated into anterior/posterior and dorsal cornu ammonis (CA)/ventral (subiculum) subregions. While anterior/posterior CA show co-metabolism with different regions of the subcortical limbic networks, the anterior/posterior subiculum are parts of cortical networks supporting object-centered memory and higher cognitive demands, respectively. Both networks show relationships with the spatial patterns of gene expression pertaining to cell energy metabolism and AD's process. Finally, while local metabolism is generally lower in posterior regions, the anterior-posterior imbalance is maximal in late mild cognitive impairment with the anterior subiculum being relatively preserved.

Discussion: Future studies should consider bidimensional hippocampal differentiation and in particular the posterior subicular region to better understand pathological aging.