ZACKOVÁ, Lenka, Martin JÁNI, Milan BRÁZDIL, Yuliya S. NIKOLOVA and Klára MAREČKOVÁ. Cognitive impairment and depression: Meta-analysis of structural magnetic resonance imaging studies. NeuroImage: Clinical. Oxford: Elsevier BV, vol. 32, No 2021, p. 1-10. ISSN 2213-1582. doi:10.1016/j.nicl.2021.102830. 2021.
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Basic information
Original name Cognitive impairment and depression: Meta-analysis of structural magnetic resonance imaging studies
Authors ZACKOVÁ, Lenka (703 Slovakia, guarantor, belonging to the institution), Martin JÁNI (703 Slovakia, belonging to the institution), Milan BRÁZDIL (203 Czech Republic, belonging to the institution), Yuliya S. NIKOLOVA and Klára MAREČKOVÁ (203 Czech Republic, belonging to the institution).
Edition NeuroImage: Clinical, Oxford, Elsevier BV, 2021, 2213-1582.
Other information
Original language English
Type of outcome Article in a journal
Field of Study 30210 Clinical neurology
Country of publisher United Kingdom of Great Britain and Northern Ireland
Confidentiality degree is not subject to a state or trade secret
WWW URL
Impact factor Impact factor: 4.891
RIV identification code RIV/00216224:14110/21:00120148
Organization unit Faculty of Medicine
Doi http://dx.doi.org/10.1016/j.nicl.2021.102830
UT WoS 000702826200006
Keywords in English Meta-analysis; structural magnetic resonance imaging (MRI); voxel-based morphometry (VBM); Major depressive disorder; Mild cognitive impairment; Shared volumetric reductions
Tags 14110127, 14110222, podil, rivok
Tags International impact, Reviewed
Changed by Changed by: Mgr. Pavla Foltynová, Ph.D., učo 106624. Changed: 8/2/2022 12:05.
Abstract
Longitudinal comorbidity of depression and cognitive impairment has been reported by number of epidemiological studies but the underlying mechanisms explaining the link between affective problems and cognitive decline are not very well understood. Imaging studies have typically investigated patients with major depressive disorder (MDD) and mild cognitive impairment (MCI) separately and thus have not identified a structural brain signature common to these conditions that may illuminate potentially targetable shared biological mechanisms. We performed a meta-analysis of. 48 voxel-based morphometry (VBM) studies of individuals with MDD, MCI, and age-matched controls and demonstrated that MDD and MCI patients had shared volumetric reductions in a number of regions including the insula, superior temporal gyrus (STG), inferior frontal gyrus, amygdala, hippocampus, and thalamus. We suggest that the shared volumetric reductions in the insula and STG might reflect communication deficits and infrequent participation in mentally or socially stimulating activities, which have been described as risk factors for both MCI and MDD. We also suggest that the disease-specific structural changes might reflect the disease-specific symptoms such as poor integration of emotional information, feelings of helplessness and worthlessness, and anhedonia in MDD. These findings could contribute to better understanding of the origins of MDD-MCI comorbidity and facilitate development of early interventions.
Links
LQ1601, research and development projectName: CEITEC 2020 (Acronym: CEITEC2020)
Investor: Ministry of Education, Youth and Sports of the CR
NU20J-04-00022, research and development projectName: Zdravé stárnutí mozku: Celoživotní perspektiva
Investor: Ministry of Health of the CR, Healthy Brain Ageing in Czechia over the life-course, Subprogram 2 - junior
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