ArticleNeuroImage. Clinical2017
A whole-brain computational modeling approach to explain the alterations in resting-state functional connectivity during progression of Alzheimer's disease.
Article in NeuroImage. Clinical, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers.
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53 citing papers in PubMed, 94 citations in OpenAlex.
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- Cortical synchrony is reduced in Alzheimer's disease and relates to arousal state.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026Article
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- Large scale functional and effective connectivity alterations cross the Huntington's disease integrated staging system.NeuroImage. Clinical · 2026Article
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- Dynamic and Static Structure-Function Coupling With Machine Learning for the Early Detection of Alzheimer's Disease.Human brain mapping · 2025Article
- Association of Plasma Biomarkers of Alzheimer Disease and Neurodegeneration With Longitudinal Intra-Network Functional Brain Connectivity.Neurology · 2025Article
- Adaptive Whole-Brain Dynamics Predictive Method: Relevancy to Mental Disorders.Research (Washington, D.C.) · 2025Article
- Functional connectotomy of a whole-brain model reveals tumor-induced alterations to neuronal dynamics in glioma patients.Network neuroscience (Cambridge, Mass.) · 2025Article
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- Disentangling the impact of motion artifact correction algorithms on functional near-infrared spectroscopy-based brain network analysis.Neurophotonics · 2024Article
- Biophysical models applied to dementia patients reveal links between geographical origin, gender, disease duration, and loss of neural inhibition.Alzheimer's research & therapy · 2024Article
- Local signal variability and functional connectivity: Sensitive measures of the excitation-inhibition ratio?Cognitive neurodynamics · 2024Article
- Modeling brain network flexibility in networks of coupled oscillators: a feasibility study.Scientific reports · 2024Article
- Dynamic multilayer functional connectivity detects preclinical and clinical Alzheimer's disease.Cerebral cortex (New York, N.Y. : 1991) · 2024Article
- Energy landscape analysis of brain network dynamics in Alzheimer's disease.Frontiers in aging neuroscience · 2024Article
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Authors and funding
6 authors at 4 institutions in 4 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Alzheimer's disease (AD) is the most common dementia with dramatic consequences. The research in structural and functional neuroimaging showed altered brain connectivity in AD. In this study, we investigated the whole-brain resting state functional connectivity (FC) of the subjects with preclinical Alzheimer's disease (PAD), mild cognitive impairment due to AD (MCI) and mild dementia due to Alzheimer's disease (AD), the impact of APOE4 carriership, as well as in relation to variations in core AD CSF biomarkers. The synchronization in the whole-brain was monotonously decreasing during the course of the disease progression. Furthermore, in AD patients we found widespread significant decreases in functional connectivity (FC) strengths particularly in the brain regions with high global connectivity. We employed a whole-brain computational modeling approach to study the mechanisms underlying these alterations. To characterize the causal interactions between brain regions, we estimated the effective connectivity (EC) in the model. We found that the significant EC differences in AD were primarily located in left temporal lobe. Then, we systematically manipulated the underlying dynamics of the model to investigate simulated changes in FC based on the healthy control subjects. Furthermore, we found distinct patterns involving CSF biomarkers of amyloid-beta (Aβ1 - 42) total tau (t-tau) and phosphorylated tau (p-tau). CSF Aβ1 - 42 was associated to the contrast between healthy control subjects and clinical groups. Nevertheless, tau CSF biomarkers were associated to the variability in whole-brain synchronization and sensory integration regions. These associations were robust across clinical groups, unlike the associations that were found for CSF Aβ1 - 42. APOE4 carriership showed no significant correlations with the connectivity measures.
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