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Differences in structural and functional default mode network connectivity in amyloid positive mild cognitive impairment: a longitudinal study
Ist Teil von
Neuroradiology, 2022, Vol.64 (1), p.141-150
Ort / Verlag
Berlin/Heidelberg: Springer Berlin Heidelberg
Erscheinungsjahr
2022
Quelle
SpringerLink Journals
Beschreibungen/Notizen
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—Aβ
42
, 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 Aβ
42
in the CSF) were followed up for an average of 13 months. We used MultiAtlas, UF
2
C, 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.