Patient-Tailored, Connectivity-Based Forecasts of Spreading Brain Atrophy
| Autor: | Jersey Deng, Bruce L. Miller, Giovanni Coppola, Joel H. Kramer, Daniel H. Geschwind, Ana C. Sias, Maria Luisa Gorno-Tempini, Isabel J. Sible, Salvatore Spina, William W. Seeley, John Kornak, Howard J. Rosen, John Neuhaus, Gabe Marx, Lea T. Grinberg, Jesse A. Brown, Suzee E. Lee, Anna Karydas |
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| Rok vydání: | 2019 |
| Předmět: |
0301 basic medicine
Male Aging Neurodegenerative Alzheimer's Disease frontotemporal dementia Primary progressive aphasia 0302 clinical medicine Models Neural Pathways Medicine 2.1 Biological and endogenous factors Psychology Longitudinal cohort Aetiology General Neuroscience Neurodegeneration Brain Disease monitoring Middle Aged brain networks Frontotemporal Dementia (FTD) Frontotemporal Dementia Neurological Female Cognitive Sciences Frontotemporal dementia graph theory Models Neurological Transneuronal degeneration Article 03 medical and health sciences Atrophy Clinical Research Acquired Cognitive Impairment Functional connectome Humans voxel-based morphometry Aged Neurology & Neurosurgery business.industry functional connectivity Neurosciences Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD) Voxel-based morphometry medicine.disease Brain Disorders 030104 developmental biology Nerve Degeneration Dementia business Neuroscience 030217 neurology & neurosurgery |
| Zdroj: | Neuron, vol 104, iss 5 |
| Popis: | Neurodegenerative diseases appear to progress by spreading via brain connections. Here we evaluated this transneuronal degeneration hypothesis by attempting to predict future atrophy in a longitudinal cohort of patients with behavioral variant frontotemporal dementia (bvFTD) and semantic variant primary progressive aphasia (svPPA). We determined patient-specific "epicenters" at baseline, located each patient's epicenters in the healthy functional connectome, and derived two region-wise graph theoretical metrics to predict future atrophy: (1) shortest path length to the epicenter and (2) nodal hazard, the cumulative atrophy of a region's first-degree neighbors. Using these predictors and baseline atrophy, we could accurately predict longitudinal atrophy in most patients. The regions most vulnerable to subsequent atrophy were functionally connected to the epicenter and had intermediate levels of baseline atrophy. These findings provide novel, longitudinal evidence that neurodegeneration progresses along connectional pathways and, further developed, could lead to network-based clinical tools for prognostication and disease monitoring. |
| Databáze: | OpenAIRE |
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