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Abbiategrasso Brain Bank Protocol for Collecting, Processing and Characterizing Aging Brains
Published on: June 3, 2020
Functional brain connectome in posterior cortical atrophy.
Raffaella Migliaccio1, Federica Agosta2, Silvia Basaia2
1FrontLab, INSERM U 1127, CNRS UMR 7225, Sorbonne Universités, and Université Pierre et Marie Curie-Paris 6, UMR S1127, Institut du Cerveau et de la Moelle épinière (ICM), Pitié-Salpêtrière hospital, Paris, France; Institut de la mémoire et de la maladie d'Alzheimer, IM2A, Reference Centre for Rare dementias and Early Onset Alzheimer's disease, Neurology Departement, Pitié-Salpêtrière hospital, Paris, France.
Posterior Cortical Atrophy (PCA) patients exhibit widespread functional brain connectome alterations, impacting both global and regional connectivity. These changes, identified using graph analysis, may indicate early neurodegeneration and disease progression.
Area of Science:
- Neuroscience
- Neurology
- Medical Imaging
Background:
- Posterior Cortical Atrophy (PCA) is a neurodegenerative syndrome characterized by progressive visual and cognitive impairment.
- Understanding the underlying functional brain network alterations in PCA is crucial for diagnosis and monitoring.
Purpose of the Study:
- To investigate the functional brain connectome architecture in patients with Posterior Cortical Atrophy (PCA).
- To assess topological brain network properties and functional connectivity using graph analysis and connectomics.
Main Methods:
- Recruited 18 PCA patients and 29 healthy controls.
- Utilized neurologic examination, CSF analysis for Alzheimer's disease (AD) biomarkers, cognitive assessment, and brain MRI.
- Applied graph analysis and connectomics to assess functional connectivity, including intra- and inter-hemispheric connections.
Main Results:
- PCA patients demonstrated diffuse global and regional functional connectome alterations.
- A significant breakdown in connectivity was observed between posterior brain nodes.
- Widespread loss of intra- and inter-hemispheric connections, including frontal connections, exceeded structural damage.
Conclusions:
- Functional connectome alterations in PCA are widespread and affect all brain nodes, irrespective of structural or metabolic status.
- Graph analysis and connectomics show high sensitivity in detecting neurodegeneration progression in PCA.
- Connectome alterations are associated with a breakdown between damaged and spared brain areas.
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