Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
Altered triple network model connectivity is associated with cognitive function and depressive symptoms in older adults.
СтатьяНаблюдательное исследованиеНазвание и аннотация: Перевод пока не подготовлен
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Kolobaric Antonija, Andreescu Carmen, Gerlach Andrew R, Jašarević Eldin, Aizenstein Howard, Pascoal Tharick A, Ferreira Pamela C L, Bellaver Bruna, Hong Chang Hyung, Roh Hyun Woong, Cho Yong Hyuk, Hong Sunhwa, Nam You Jin, Park Bumhee, Lee Dong Yun, Kim Narae, Choi Jin Wook, Son Sang Joon, Karim Helmet T
Аннотация
INTRODUCTION: Late-life cognitive impairment and depression frequently co-occur and share many symptoms. However, the specific neural and clinical factors contributing to both their common and distinct profiles in older adults remain unclear.
METHODS: We investigated resting-state correlates of cognitive and depressive symptoms in older adults (n = 248 and n = 95) using clinical, blood, and neuroimaging data. We computed a connectivity matrix across default mode, executive control, and salience networks. Cross-validated elastic net regression identified features reflecting cognitive function and depressive symptoms. These features were validated on a held-out dataset.
RESULTS: We discovered that white matter hyperintensities and nine overlapping nodes spanning all three networks are associated with both cognitive function and depressive symptoms, including left amygdala, left hippocampus, and bilateral ventral tegmental area.
DISCUSSION: Our findings reveal intertwined neural nodes influencing cognitive impairment and depressive symptoms in late life, offering insights into shared characteristics and potential therapeutic targets.
HIGHLIGHTS: Resting-state neuroimaging markers are associated with symptoms of cognitive decline and late-life depression. Symptom-associated connectivity alterations were present across three major brain networks of interest, including the salience, default mode, and executive control networks. Some regions of interest are associated with both cognitive function and depressive symptoms, including the left amygdala, left hippocampus, and bilateral ventral tegmental area.
METHODS: We investigated resting-state correlates of cognitive and depressive symptoms in older adults (n = 248 and n = 95) using clinical, blood, and neuroimaging data. We computed a connectivity matrix across default mode, executive control, and salience networks. Cross-validated elastic net regression identified features reflecting cognitive function and depressive symptoms. These features were validated on a held-out dataset.
RESULTS: We discovered that white matter hyperintensities and nine overlapping nodes spanning all three networks are associated with both cognitive function and depressive symptoms, including left amygdala, left hippocampus, and bilateral ventral tegmental area.
DISCUSSION: Our findings reveal intertwined neural nodes influencing cognitive impairment and depressive symptoms in late life, offering insights into shared characteristics and potential therapeutic targets.
HIGHLIGHTS: Resting-state neuroimaging markers are associated with symptoms of cognitive decline and late-life depression. Symptom-associated connectivity alterations were present across three major brain networks of interest, including the salience, default mode, and executive control networks. Some regions of interest are associated with both cognitive function and depressive symptoms, including the left amygdala, left hippocampus, and bilateral ventral tegmental area.