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Heterogeneity of factors associated with cognitive decline and cortical atrophy in early- versus late-onset Alzheimer's disease.
Cho, Jaelim; Yoon, Cindy W; Shin, Jeong-Hyeon; Seo, Haeun; Kim, Woo-Ram; Na, Han Kyu; Byun, Justin; Lockhart, Samuel N; Kim, Changsoo; Seong, Joon-Kyung; Noh, Young.
Affiliation
  • Cho J; Department of Preventive Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea.
  • Yoon CW; Department of Neurology, Inha University School of Medicine, Incheon, Republic of Korea.
  • Shin JH; Bio Medical and Health Division, Bio Medical Research Center, Korea Testing Laboratory, Daegu, Republic of Korea.
  • Seo H; Neuroscience Research Institute, Gachon University, Incheon, Republic of Korea.
  • Kim WR; Neuroscience Research Institute, Gachon University, Incheon, Republic of Korea.
  • Na HK; Department of Neurology, Yonsei University College of Medicine, Seoul, Republic of Korea.
  • Byun J; Department of Rehabilitation Medicine, Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea.
  • Lockhart SN; Department of Internal Medicine, Section of Gerontology and Geriatric Medicine, Wake Forest University School of Medicine, Winston-Salem, NC, USA.
  • Kim C; Department of Preventive Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea.
  • Seong JK; School of Biomedical Engineering, Korea University, 145 Anam-ro, Seongbuk-gu, Seoul, 02841, Republic of Korea. jkseong@korea.ac.kr.
  • Noh Y; Department of Artificial Intelligence, Korea University, Seoul, Republic of Korea. jkseong@korea.ac.kr.
Sci Rep ; 14(1): 20429, 2024 09 03.
Article in En | MEDLINE | ID: mdl-39227668
ABSTRACT
The objectives of this study were to investigate the variable factors associated with cognitive function and cortical atrophy and estimated variable importance of those factors in affecting cognitive function and cortical atrophy in patients with EOAD and LOAD. Patients with EOAD (n = 40), LOAD (n = 34), and healthy volunteers with normal cognition were included (n = 65). All of them performed 3T MRI, [18F]THK5351 PET (THK), [18F]flutemetamol PET (FLUTE), and detailed neuropsychological tests. To investigate factors associated with neuropsychological test results and cortical thickness in each group, we conducted multivariable linear regression models, including amyloid, tau, cerebral small vessel disease markers on MRI, and vascular risk factors. Then, we estimated variable importance in associating cognitive functions and cortical thickness, using relative importance analysis. In patients with EOAD, global THK retention was the most important contributor to the model variances for most neuropsychological tests, except for memory. However, in patients with LOAD, multiple contributors beyond tau were important in explaining variance of neuropsychological tests. In analyses with mean cortical thickness, global THK retention was the main contributor in patients with EOAD, while in LOAD patients, multiple factors contributed equally to mean cortical thickness. Therefore, EOAD and LOAD may have different pathomechanistic courses.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Atrophy / Magnetic Resonance Imaging / Cerebral Cortex / Positron-Emission Tomography / Alzheimer Disease / Cognitive Dysfunction / Neuropsychological Tests Limits: Aged / Female / Humans / Male / Middle aged Language: En Journal: Sci Rep Year: 2024 Document type: Article Country of publication:

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Atrophy / Magnetic Resonance Imaging / Cerebral Cortex / Positron-Emission Tomography / Alzheimer Disease / Cognitive Dysfunction / Neuropsychological Tests Limits: Aged / Female / Humans / Male / Middle aged Language: En Journal: Sci Rep Year: 2024 Document type: Article Country of publication: