Stage dependent differential influence of metabolic and structural networks on memory across Alzheimer’s disease continuum
biorxiv(2022)
摘要
Background Large-scale neuronal network breakdown underlies memory impairment in Alzheimer’s disease (AD). However, the differential trajectories of the relationships between network organization and memory across pathology and cognitive stages in AD remain elusive. We determined whether and how the influences of individual-level structural and metabolic covariance network integrity on memory varied with amyloid pathology across clinical stages without assuming a constant relationship.
Methods 708 participants from the Alzheimer’s Disease Neuroimaging Initiative were studied. Individual-level structural and metabolic covariance scores in higher-level cognitive and hippocampal networks were derived from magnetic resonance imaging and [18F]fluorodeoxyglucose positron emission tomography using seed-based partial least square analyses. The non-linear associations between network scores and memory across cognitive stages in each pathology group were examined using sparse varying coefficient modelling.
Results We showed that the associations of memory with structural and metabolic networks in the hippocampal and default mode regions exhibited pathology-dependent differential trajectories across cognitive stages using sparse varying coefficient modelling. In amyloid pathology group, there was an early influence of hippocampal structural network deterioration on memory impairment in the preclinical stage, and a biphasic influence of the angular gyrus-seeded default mode network metabolism on memory in both preclinical and dementia stages. In non-amyloid pathology groups, in contrast, the trajectory of the hippocampus-memory association was opposite and weaker overall, while no metabolism covariance networks were related to memory. Key findings were replicated in a larger cohort of 1280 participants.
Conclusions Our findings highlight potential windows of early intervention targeting network breakdown at the preclinical AD stage.
### Competing Interest Statement
The authors have declared no competing interest.
* A
: amyloid-beta plaques
AD
: Alzheimer’s disease
ADNI
: Alzheimer’s Disease Neuroimaging Initiative
ANG
: angular gyrus
ANOVA
: analysis of variance
Aβ
: amyloid-beta
CDR
: clinical dementia rating
CN
: cognitively normal
DLPFC
: dorsolateral prefrontal cortex
DMN
: default mode network
ECN
: executive control network
FC
: functional connectivity
FDG
: [18F]Fluorodeoxyglucose
FWE
: family-wise error
FWHM
: Full-Width at Half-Maximum
GM
: grey matter
GMV
: grey matter volume
HIP
: hippocampus
ICV
: intracranial volume
INS
: insular
LV
: latent variable
MCI
: mild cognitive impairment
MMSE
: mini-mental state examination
MNI
: Montreal Neurological Institute
mPFC
: medial prefrontal cortex
MPRAGE
: magnetization-prepare rapid-acquisition gradient echo
N
: neurodegeneration
PCC
: posterior cingulate cortex
PLS
: partial least squares
PPC
: posterior parietal cortex
SN
: salience network
SOB
: sum of boxes
SPGR
: sagittal inversion-recovery spoiled gradient-recalled
SUVR
: standardized uptake value ratio
SVC
: sparse varying coefficient
T
: tau neurofibrillary tangles accumulation
VBM
: voxel-based morphometry
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关键词
metabolic network, memory, amyloid, tau, Alzheimer's disease, mild cognitive impairment, structural network, Human
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