Specific cortical and subcortical grey matter regions are associated with insomnia severity.


Journal

PloS one
ISSN: 1932-6203
Titre abrégé: PLoS One
Pays: United States
ID NLM: 101285081

Informations de publication

Date de publication:
2021
Historique:
received: 19 11 2020
accepted: 10 05 2021
entrez: 26 5 2021
pubmed: 27 5 2021
medline: 29 10 2021
Statut: epublish

Résumé

There is an increasing awareness that sleep disturbances are a risk factor for dementia. Prior case-control studies suggested that brain grey matter (GM) changes involving cortical (i.e, prefrontal areas) and subcortical structures (i.e, putamen, thalamus) could be associated with insomnia status. However, it remains unclear whether there is a gradient association between these regions and the severity of insomnia in older adults who could be at risk for dementia. Since depressive symptoms and sleep apnea can both feature insomnia-related factors, can impact brain health and are frequently present in older populations, it is important to include them when studying insomnia. Therefore, our goal was to investigate GM changes associated with insomnia severity in a cohort of healthy older adults, taking into account the potential effect of depression and sleep apnea as well. We hypothesized that insomnia severity is correlated with 1) cortical regions responsible for regulation of sleep and emotion, such as the orbitofrontal cortex and, 2) subcortical regions, such as the putamen. 120 healthy subjects (age 74.8±5.7 years old, 55.7% female) were recruited from the Hillblom Healthy Aging Network at the Memory and Aging Center, UCSF. All participants were determined to be cognitively healthy following a neurological evaluation, neuropsychological assessment and informant interview. Participants had a 3T brain MRI and completed the Insomnia Severity Index (ISI), Geriatric Depression Scale (GDS) and Berlin Sleep Questionnaire (BA) to assess sleep apnea. Cortical thickness (CTh) and subcortical volumes were obtained by the CAT12 toolbox within SPM12. We studied the correlation of CTh and subcortical volumes with ISI using multiple regressions adjusted by age, sex, handedness and MRI scan type. Additional models adjusting by GDS and BA were also performed. ISI and GDS were predominantly mild (4.9±4.2 and 2.5±2.9, respectively) and BA was mostly low risk (80%). Higher ISI correlated with lower CTh of the right orbitofrontal, right superior and caudal middle frontal areas, right temporo-parietal junction and left anterior cingulate cortex (p<0.001, uncorrected FWE). When adjusting by GDS, right ventral orbitofrontal and temporo-parietal junction remained significant, and left insula became significant (p<0.001, uncorrected FWE). Conversely, BA showed no effect. The results were no longer significant following FWE multiple comparisons. Regarding subcortical areas, higher putamen volumes were associated with higher ISI (p<0.01). Our findings highlight a relationship between insomnia severity and brain health, even with relatively mild insomnia, and independent of depression and likelihood of sleep apnea. The results extend the previous literature showing the association of specific GM areas (i.e, orbitofrontal, insular and temporo-parietal junction) not just with the presence of insomnia, but across the spectrum of severity itself. Moreover, our results suggest subcortical structures (i.e., putamen) are involved as well. Longitudinal studies are needed to clarify how these insomnia-related brain changes in healthy subjects align with an increased risk of dementia.

Sections du résumé

BACKGROUND
There is an increasing awareness that sleep disturbances are a risk factor for dementia. Prior case-control studies suggested that brain grey matter (GM) changes involving cortical (i.e, prefrontal areas) and subcortical structures (i.e, putamen, thalamus) could be associated with insomnia status. However, it remains unclear whether there is a gradient association between these regions and the severity of insomnia in older adults who could be at risk for dementia. Since depressive symptoms and sleep apnea can both feature insomnia-related factors, can impact brain health and are frequently present in older populations, it is important to include them when studying insomnia. Therefore, our goal was to investigate GM changes associated with insomnia severity in a cohort of healthy older adults, taking into account the potential effect of depression and sleep apnea as well. We hypothesized that insomnia severity is correlated with 1) cortical regions responsible for regulation of sleep and emotion, such as the orbitofrontal cortex and, 2) subcortical regions, such as the putamen.
METHODS
120 healthy subjects (age 74.8±5.7 years old, 55.7% female) were recruited from the Hillblom Healthy Aging Network at the Memory and Aging Center, UCSF. All participants were determined to be cognitively healthy following a neurological evaluation, neuropsychological assessment and informant interview. Participants had a 3T brain MRI and completed the Insomnia Severity Index (ISI), Geriatric Depression Scale (GDS) and Berlin Sleep Questionnaire (BA) to assess sleep apnea. Cortical thickness (CTh) and subcortical volumes were obtained by the CAT12 toolbox within SPM12. We studied the correlation of CTh and subcortical volumes with ISI using multiple regressions adjusted by age, sex, handedness and MRI scan type. Additional models adjusting by GDS and BA were also performed.
RESULTS
ISI and GDS were predominantly mild (4.9±4.2 and 2.5±2.9, respectively) and BA was mostly low risk (80%). Higher ISI correlated with lower CTh of the right orbitofrontal, right superior and caudal middle frontal areas, right temporo-parietal junction and left anterior cingulate cortex (p<0.001, uncorrected FWE). When adjusting by GDS, right ventral orbitofrontal and temporo-parietal junction remained significant, and left insula became significant (p<0.001, uncorrected FWE). Conversely, BA showed no effect. The results were no longer significant following FWE multiple comparisons. Regarding subcortical areas, higher putamen volumes were associated with higher ISI (p<0.01).
CONCLUSIONS
Our findings highlight a relationship between insomnia severity and brain health, even with relatively mild insomnia, and independent of depression and likelihood of sleep apnea. The results extend the previous literature showing the association of specific GM areas (i.e, orbitofrontal, insular and temporo-parietal junction) not just with the presence of insomnia, but across the spectrum of severity itself. Moreover, our results suggest subcortical structures (i.e., putamen) are involved as well. Longitudinal studies are needed to clarify how these insomnia-related brain changes in healthy subjects align with an increased risk of dementia.

Identifiants

pubmed: 34038462
doi: 10.1371/journal.pone.0252076
pii: PONE-D-20-36484
pmc: PMC8153469
doi:

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

e0252076

Subventions

Organisme : NIA NIH HHS
ID : K24 AG045333
Pays : United States
Organisme : NIA NIH HHS
ID : K24 AG053435
Pays : United States
Organisme : NIA NIH HHS
ID : R01 AG060477
Pays : United States
Organisme : NIA NIH HHS
ID : P01 AG019724
Pays : United States
Organisme : NIA NIH HHS
ID : R01 AG064314
Pays : United States
Organisme : NIA NIH HHS
ID : R01 AG032289
Pays : United States

Déclaration de conflit d'intérêts

The authors have declared that no competing interests exist.

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Auteurs

Neus Falgàs (N)

Atlantic Fellow for Equity in Brain Health at the University of California San Francisco, Department of Neurology, University of California San Francisco, San Francisco, California, United States of America.
Global Brain Health Institute, University of California, San Francisco, California, United States of America.
Department of Neurology, Memory & Aging Center, Weill Institute for Neurosciences, University of California, San Francisco, California, United States of America.
Alzheimer's Disease and other Cognitive Disorders Unit, Department of Neurology, Hospital Clínic de Barcelona, Universitat de Barcelona, Barcelona, Catalonia, Spain.

Ignacio Illán-Gala (I)

Atlantic Fellow for Equity in Brain Health at the University of California San Francisco, Department of Neurology, University of California San Francisco, San Francisco, California, United States of America.
Global Brain Health Institute, University of California, San Francisco, California, United States of America.
Sant Pau Memory Unit, Department of Neurology, Hospital de la Santa Creu i Sant Pau, Universitat Autònoma de Barcelona, Barcelona, Catalonia, Spain.

Isabel E Allen (IE)

Global Brain Health Institute, University of California, San Francisco, California, United States of America.
Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, California, United States of America.

Paige Mumford (P)

Department of Neurology, Memory & Aging Center, Weill Institute for Neurosciences, University of California, San Francisco, California, United States of America.

Youssef M Essanaa (YM)

Department of Neurology, Memory & Aging Center, Weill Institute for Neurosciences, University of California, San Francisco, California, United States of America.
Department of Psychiatry, Weill Institute for Neurosciences, University of California, San Francisco, California, United States of America.

Michael M Le (MM)

Department of Neurology, Memory & Aging Center, Weill Institute for Neurosciences, University of California, San Francisco, California, United States of America.
Department of Psychiatry, Weill Institute for Neurosciences, University of California, San Francisco, California, United States of America.

Michelle You (M)

Department of Neurology, Memory & Aging Center, Weill Institute for Neurosciences, University of California, San Francisco, California, United States of America.

Lea T Grinberg (LT)

Atlantic Fellow for Equity in Brain Health at the University of California San Francisco, Department of Neurology, University of California San Francisco, San Francisco, California, United States of America.
Global Brain Health Institute, University of California, San Francisco, California, United States of America.
Department of Pathology, University of Sao Paulo Medical School, Sao Paulo, Brazil.
Department of Pathology, University of California, San Francisco, California, United States of America.

Howard J Rosen (HJ)

Global Brain Health Institute, University of California, San Francisco, California, United States of America.
Department of Neurology, Memory & Aging Center, Weill Institute for Neurosciences, University of California, San Francisco, California, United States of America.

Thomas C Neylan (TC)

Department of Neurology, Memory & Aging Center, Weill Institute for Neurosciences, University of California, San Francisco, California, United States of America.
Department of Psychiatry, Weill Institute for Neurosciences, University of California, San Francisco, California, United States of America.
Stress & Health Research Program, Department of Mental Health, San Francisco VA Medical Center, San Francisco, California, United States of America.

Joel H Kramer (JH)

Global Brain Health Institute, University of California, San Francisco, California, United States of America.
Department of Neurology, Memory & Aging Center, Weill Institute for Neurosciences, University of California, San Francisco, California, United States of America.
Department of Psychiatry, Weill Institute for Neurosciences, University of California, San Francisco, California, United States of America.

Christine M Walsh (CM)

Department of Neurology, Memory & Aging Center, Weill Institute for Neurosciences, University of California, San Francisco, California, United States of America.

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