Amyloid involvement in subcortical regions predicts cognitive decline.
Purpose: We estimated whether amyloid involvement in subcortical regions may predict cognitive impairment, and established an amyloid staging scheme based on degree of subcortical amyloid involvement.Methods: Data from 240 cognitively normal older individuals, 393 participants with mild cognitive im...
| Publicado en: | European Journal of Nuclear Medicine & Molecular Imaging Vol. 45; no. 13; pp. 2368 - 2377 |
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| Autores principales: | , , , , , , , , , , , , , , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
Dec2018
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=132698969&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 132698969 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 16197070 NPC jtl: European Journal of Nuclear Medicine & Molecular Imaging issn: 16197070 maglogo: N pubinfo: dt: Dec2018 vid: 45 iid: 13 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 132698969 10.1007/s00259-018-4081-5 132698969 ppf: 2368 ppct: 9 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Amyloid involvement in subcortical regions predicts cognitive decline. aug: au: For the Alzheimer's Disease Neuroimaging Initiative Cho, Soo Hyun Jang, Hyemin Park, Seongbeom Kim, Hee Jin Kim, Si Eun Kim, Seung Joo Kim, Yeshin Na, Duk L. Seo, Sang Won Shin, Jeong-Hyeon Seong, Joon-Kyung Lee, Jin San Lockhart, Samuel N. Rabinovici, Gil D. affil: Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-ro, Gangnam-gu, 06351, Seoul, Republic of Korea sug: ab: Purpose: We estimated whether amyloid involvement in subcortical regions may predict cognitive impairment, and established an amyloid staging scheme based on degree of subcortical amyloid involvement.Methods: Data from 240 cognitively normal older individuals, 393 participants with mild cognitive impairment, and 126 participants with Alzheimer disease were acquired at Alzheimer’s Disease Neuroimaging Initiative sites. To assess subcortical involvement, we analyzed amyloid deposition in amygdala, putamen, and caudate nucleus. We staged participants into a 3-stage model based on cortical and subcortical amyloid involvement: 382 with no cortical or subcortical involvement as stage 0, 165 with cortical but no subcortical involvement as stage 1, and 203 with both cortical and subcortical involvement as stage 2.Results: Amyloid accumulation was first observed in cortical regions and spread down to the putamen, caudate nucleus, and amygdala. In longitudinal analysis, changes in MMSE, ADAS-cog 13, FDG PET SUVR, and hippocampal volumes were steepest in stage 2 followed by stage 1 then stage 0 (p value <0.001). Stage 2 showed steeper changes in MMSE score (β [SE] = −0.02 [0.004], p < 0.001), ADAS-cog 13 (0.05 [0.01], p < 0.001), FDG PET SUVR (−0.0008 [0.0003], p = 0.004), and hippocampal volumes (−4.46 [0.65], p < 0.001) compared to stage 1.Conclusions: We demonstrated a downward spreading pattern of amyloid, suggesting that amyloid accumulates first in neocortex followed by subcortical structures. Furthermore, our new finding suggested that an amyloid staging scheme based on subcortical involvement might reveal how differential regional accumulation of amyloid affects cognitive decline through functional and structural changes of the brain. pubtype: Academic Journal doctype: Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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