Estimating effective connectivity in Alzheimer's disease progression

Our results demonstrated the dwindling connectivity accompanying AD progression on causal relationships among brain regions and indicated ...

This study used Dynamic Causal Modeling (DCM) method to assess effective connectivity (EC) and investigate the changes that accompany AD progression.

Estimating effective connectivity in Alzheimer's disease progression

Our results demonstrated the dwindling connectivity accompanying AD progression on causal relationships among brain regions and indicated the ...

Estimating effective connectivity in Alzheimer's disease progression ...

Alzheimer's disease (AD) affects the whole brain from the cellular level to the entire brain network structure. The causal relationship among brain regions ...

Estimating effective connectivity in Alzheimer's disease progression

Statistical analysis showed the connectivity strengths were lower for later-stage patients. Linear regression analysis showed that the connection strengths were ...

Early detection of dementia with default-mode network effective ...

Each participant's effective connectivity (EC) pattern is estimated separately and is represented as a 10 × 10 EC matrix, where each cell in the ...

Estimating effective connectivity in Alzheimer's disease progression ...

Title. Estimating effective connectivity in Alzheimer's disease progression: A dynamic causal modeling study. Authors. Huang, Jiali; Jung, Jae-Yoon; Nam, ...

Estimating effective connectivity in Alzheimer's disease progression ...

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Estimating effective connectivity in Alzheimer's disease progression

IntroductionAlzheimer's disease (AD) affects the whole brain from the cellular level to the entire brain network structure. The causal relationship among ...

Effective Connectivity Evaluation of Resting-State Brain Networks in ...

Brain deposition of pathological markers of AD can affect the direction and intensity of the signaling. The study of effective connectivity ...

New brain connectivity model predicts dementia years before ...

Effective connectivity predicts dementia development and time until diagnosis better than traditional biomarkers. The study also links DMN ...

A whole-brain computational modeling approach to explain the ...

... functional connectivity during progression of Alzheimer's disease. Author ... brain regions, we estimated the effective connectivity (EC) in the model.

Differential default-mode network effective connectivity in young ...

Our results showed that patients with typical Alzheimer's disease variant showed increased connectivity from medial prefrontal cortex to ...

Mining brain region connectivity for alzheimer's disease study via ...

The connectivity patterns will provide useful imaging-based biomarkers to distinguish Normal Controls (NC), patients with Mild Cognitive Impairment (MCI), and ...

Causal functional connectivity in Alzheimer's disease computed from ...

Functional connectivity between brain regions is known to be altered in Alzheimer's disease and promises to be a biomarker for early ...

A whole-brain computational modeling approach to explain the ...

... brain regions, we estimated the effective connectivity (EC) in the model. We found ... functional connectivity during progression of Alzheimer's disease.

Individual-specific functional connectivity improves prediction of ...

To date, reliable biomarkers remain unclear that could link functional connectivity to patients' symptoms for detecting and predicting the ...

Altered effective connectivity patterns of the default mode network in ...

77 Citations · Estimating effective connectivity in Alzheimer's disease progression: A dynamic causal modeling study · Altered Directed Functional Connectivity of ...

Altered effective connectivity patterns of the default mode network in ...

The DMN interactions in AD patients were decreased compared with NC. · PCC was significantly active and had to be the convergence center. · Region of the rITC ...

arXiv:2305.10754v1 [cs.CV] 18 May 2023

temporal down- and up-sampling (TDS and TUS), and the brain effective connectivity (BEC) estimator. The MCA adaptively fuses the noisy sample Ft ...