The interplay between insomnia symptoms and Alzheimer’s disease across three main brain networks

Author:

Elberse Jorik D123ORCID,Saberi Amin124ORCID,Ahmadi Reihaneh15,Changizi Monir6ORCID,Bi Hanwen12,Hoffstaedter Felix12,Mander Bryce A7,Eickhoff Simon B12,Tahmasian Masoud128ORCID,Alzheimer’s Disease Neuroimaging Initiative

Affiliation:

1. Institute of Neuroscience and Medicine, Brain and Behavior (INM-7), Research Center Jülich , Jülich , Germany

2. Institute of Systems Neuroscience, Medical Faculty and University Hospital Düsseldorf, Heinrich Heine University , Düsseldorf , Germany

3. Max Planck School of Cognition, Max Planck Institute for Human Cognitive and Brain Sciences ,  Leipzig , Germany

4. Otto Hahn Group Cognitive Neurogenetics, Max Planck Institute for Human Cognitive and Brain Sciences , Leipzig , Germany

5. Faculty of Medicine, Julius-Maximilians University of Würzburg , Würzburg , Germany

6. Department of Neurological Diseases, Shahid Beheshti University of Medical Sciences , Tehran , Iran

7. Department of Psychiatry and Human Behavior, University of California , Irvine, CA , USA

8. Department of Nuclear Medicine, University Hospital and Medical Faculty, University of Cologne , Cologne , Germany

Abstract

Abstract Study Objectives Insomnia symptoms are prevalent along the trajectory of Alzheimer’s disease (AD), but the neurobiological underpinning of their interaction is poorly understood. Here, we assessed structural and functional brain measures within and between the default mode network (DMN), salience network, and central executive network (CEN). Methods We selected 320 participants from the ADNI database and divided them by their diagnosis: cognitively normal (CN), Mild Cognitive Impairment (MCI), and AD, with and without self-reported insomnia symptoms. We measured the gray matter volume (GMV), structural covariance (SC), degrees centrality (DC), and functional connectivity (FC), testing the effect and interaction of insomnia symptoms and diagnosis on each index. Subsequently, we performed a within-group linear regression across each network and ROI. Finally, we correlated observed abnormalities with changes in cognitive and affective scores. Results Insomnia symptoms were associated with FC alterations across all groups. The AD group also demonstrated an interaction between insomnia and diagnosis. Within-group analyses revealed that in CN and MCI, insomnia symptoms were characterized by within-network hyperconnectivity, while in AD, within- and between-network hypoconnectivity was ubiquitous. SC and GMV alterations were nonsignificant in the presence of insomnia symptoms, and DC indices only showed network-level alterations in the CEN of AD individuals. Abnormal FC within and between DMN and CEN hubs was additionally associated with reduced cognitive function across all groups, and increased depressive symptoms in AD. Conclusions We conclude that patients with clinical AD present with a unique pattern of insomnia-related functional alterations, highlighting the profound interaction between both conditions.

Funder

German Federal Ministry of Education and Research

Helmholtz Imaging Platform

National Institutes of Health

Publisher

Oxford University Press (OUP)

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