한빛사
>
한빛사논문
한빛사논문
- 조회172
Alzheimers. Dement., Mar 2025, 21 (3) | https://doi.org/10.1002/alz.14493
Altered triple network model connectivity is associated with cognitive function and depressive symptoms in older adults
Antonija Kolobaric 1,2,3,4, Carmen Andreescu 1, Andrew R Gerlach 1, Eldin Jašarević 2,3,4, Howard Aizenstein 1,5, Tharick A Pascoal 1, Pamela C L Ferreira 1, Bruna Bellaver 1, Chang Hyung Hong 6, Hyun Woong Roh 6, Yong Hyuk Cho 6, Sunhwa Hong 6, You Jin Nam 6, Bumhee Park 7, Dong Yun Lee 7, Narae Kim 7, Jin Wook Choi 8, Sang Joon Son 6, Helmet T. Karim 1,5
1Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA.
2Department of Obstetrics, Gynecology and Reproductive Sciences, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA.
3Department of Computational and Systems Biology, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA.
4Magee-Womens Research Institute, Pittsburgh, Pennsylvania, USA.
5Department of Bioengineering, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA.
6Department of Psychiatry, Ajou University School of Medicine, Suwon-si, Gyeonggi-do, Republic of Korea.
7Department of Biomedical Informatics, Ajou University School of Medicine, Suwon-si, Gyeonggi-do, Republic of Korea.
8Department of Radiology, Ajou University School of Medicine, Suwon-si, Gyeonggi-do, Republic of Korea.
Corresponding Authors: Sang Joon Son, Helmet T. Karim
1Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA.
2Department of Obstetrics, Gynecology and Reproductive Sciences, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA.
3Department of Computational and Systems Biology, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA.
4Magee-Womens Research Institute, Pittsburgh, Pennsylvania, USA.
5Department of Bioengineering, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA.
6Department of Psychiatry, Ajou University School of Medicine, Suwon-si, Gyeonggi-do, Republic of Korea.
7Department of Biomedical Informatics, Ajou University School of Medicine, Suwon-si, Gyeonggi-do, Republic of Korea.
8Department of Radiology, Ajou University School of Medicine, Suwon-si, Gyeonggi-do, Republic of Korea.
Corresponding Authors: Sang Joon Son, Helmet T. Karim
Abstract
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.
논문정보
- Research article
- 2025년 03월 (BRIC 등록일 2025-03-06)
- 국내(교신)+국외 연구진
- 의약학 > 응용의학
댓글 작성 로그인
팝업 닫기관련 링크
연구자 키워드
관련분야 연구자보기
소속기관 논문보기
관련분야 논문보기
해당논문 저자보기
