Reduced gray matter volume in the default-mode network associated with insulin resistance

Author:

Asano Saki1,Ogawa Akitoshi1,Osada Takahiro1,Oka Satoshi1,Nakajima Koji12,Oshima Yasushi2,Tanaka Sakae2,Kaga Hideyoshi34,Tamura Yoshifumi34,Watada Hirotaka34,Kawamori Ryuzo34,Konishi Seiki1456

Affiliation:

1. Juntendo University School of Medicine Department of Neurophysiology, , 2-1-1 Hongo, Bunkyo-ku, Tokyo 113-8421 , Japan

2. The University of Tokyo School of Medicine Department of Orthopaedic Surgery, , 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-0033 , Japan

3. Juntendo University School of Medicine Department of Metabolism and Endocrinology, , 2-1-1 Hongo, Bunkyo-ku, Tokyo 113-8421 , Japan

4. Juntendo University School of Medicine Sportology Center, , 2-1-1 Hongo, Bunkyo-ku, Tokyo 113-8421 , Japan

5. Research Institute for Diseases of Old Age, Juntendo University School of Medicine , 2-1-1 Hongo, Bunkyo-ku, Tokyo 113-8421 , Japan

6. Advanced Research Institute for Health Science , Juntendo University School of Medicine , 2-1-1 Hongo, Bunkyo-ku, Tokyo 113-8421 , Japan

Abstract

Abstract Insulin resistance may lead to structural and functional abnormalities of the human brain. However, the mechanism by which insulin resistance impairs the brain remains elusive. In this study, we used two large neuroimaging databases to investigate the brain regions where insulin resistance was associated with the gray matter volume and to examine the resting-state functional connectivity between these brain regions and each hypothalamic nucleus. Insulin resistance was associated with reduced gray matter volume in the regions of the default-mode and limbic networks in the cerebral cortex in older adults. Resting-state functional connectivity was prominent between these networks and the paraventricular nucleus of the hypothalamus, a hypothalamic interface connecting functionally with the cerebral cortex. Furthermore, we found a significant correlation in these networks between insulin resistance-related gray matter volume reduction and network paraventricular nucleus of the hypothalamus resting-state functional connectivity. These results suggest that insulin resistance-related gray matter volume reduction in the default-mode and limbic networks emerged through metabolic homeostasis mechanisms in the hypothalamus.

Funder

JSPS KAKENHI

Publisher

Oxford University Press (OUP)

Subject

Cellular and Molecular Neuroscience,Cognitive Neuroscience

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