Differences in structural and functional default mode network connectivity in amyloid positive mild cognitive impairment: a longitudinal study.
Purpose: Default mode network (DMN) has emerged as a potential biomarker of Alzheimer's disease (AD); however, it is not clear whether it can differentiate amnestic mild cognitive impairment with altered amyloid (aMCI-Aβ +) who will evolve to AD. We evaluated if structural and functional connectivit...
| Publicado en: | Neuroradiology Vol. 64; no. 1; pp. 141 - 151 |
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| Autores principales: | , , , , , , , , , , |
| Formato: | diagnostic images research tables/charts Journal Article |
| Publicado: |
Springer Nature
Jan2022
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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=154457834&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 154457834 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 00283940 NYZ jtl: Neuroradiology issn: 00283940 maglogo: N pubinfo: dt: Jan2022 vid: 64 iid: 1 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 154457834 151452610 154457834 154457834 10.1007/s00234-021-02760-5 154457834 ppf: 141 ppct: 10 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Differences in structural and functional default mode network connectivity in amyloid positive mild cognitive impairment: a longitudinal study. aug: au: Magalhães, Thamires Naela Cardoso Gerbelli, Christian Luiz Baptista Pimentel-Silva, Luciana Ramalho de Campos, Brunno Machado de Rezende, Thiago Junqueira Ribeiro Rizzi, Liara Joaquim, Helena Passarelli Giroud Talib, Leda Leme Forlenza, Orestes Vicente Cendes, Fernando Balthazar, Marcio Luiz Figueredo affil: Laboratory of Neuroimaging, Department of Neurology - Medical Sciences School, University of Campinas (UNICAMP), Rua Tessália Vieira de Camargo 126, 13083-887, Campinas, SP, Brazil sug: subj: Mild Cognitive Impairment Default Mode Network Functional Connectivity Biological Markers Cerebrospinal Fluid Alzheimer's Disease Hippocampus Human Prospective Studies Magnetic Resonance Imaging Neuropsychological Tests Multivariate Analysis of Variance Univariate Statistics Exploratory Research ab: Purpose: Default mode network (DMN) has emerged as a potential biomarker of Alzheimer's disease (AD); however, it is not clear whether it can differentiate amnestic mild cognitive impairment with altered amyloid (aMCI-Aβ +) who will evolve to AD. We evaluated if structural and functional connectivity (FC), hippocampal volumes (HV), and cerebrospinal fluid biomarkers (CSF—Aβ42, p-Tau, and t-Tau) can differentiate aMCI-Aβ + converters from non-converters. Methods: Forty-eight individuals (18 normal controls and 30 aMCI subjects in the AD continuum — with altered Aβ42 in the CSF) were followed up for an average of 13 months. We used MultiAtlas, UF2C, and Freesurfer software to evaluate diffusion tensor imaging, FC, and HV, respectively, INNOTEST® kits to measure CSF proteins, and neuropsychological tests. Besides, we performed different MANOVAs with further univariate analyses to differentiate groups. Results: During follow-up, 8/30 aMCI-Aβ + converted (26.6%) to AD dementia. There were no differences in multivariate analysis between groups in CSF biomarkers (p = 0.092) or at DMN functional connectivity (p = 0.814). aMCI-Aβ + converters had smaller right HV than controls (p = 0.013), and greater right cingulum parahippocampal bundle radial diffusivity than controls (p < 0.001) and non-converters (p = 0.036). Conclusion: In this exploratory study, structural, but not functional, DMN connectivity alterations may differentiate aMCI-Aβ + subjects who converted to AD dementia. pubtype: Academic Journal doctype: diagnostic images research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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