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Feature attention graph neural network for estimating brain age and identifying important neural connections in mouse models of genetic risk for Alzheimer's disease

Research datakeyboard_double_arrow_right Dataset 13 Dec 2023Publisher:Zenodo

Authors: Moon, Hae Sol; Mahzarnia, Ali; Stout, Jacques; Anderson, Robert J; Badea, Cristian T.; Alexandra, Badea;

doi: 10.5281/zenodo.10372074 , 10.5281/zenodo.10372075

Feature attention graph neural network for estimating brain age and identifying important neural connections in mouse models of genetic risk for Alzheimer's disease

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Abstract

Connectome, traits and behavior data for APOE234 mice. 1. connectome.zip: mouse brain structural connectivity matrices from diffusion MRI. 2. FAGNN_Phenotype.csv: a sheet of trait information of mice used in the study. columns: winding numbers, total distance, normalized NE time, normalized NE distance, normalized NW time, normalized NW distance, normalized SE time, normalized SE distance, normlaized SW time, normalized SW distance, island latency to first entry, island entries, normalized thigmataxis time, and normalized thigmotaxis distance rows: 4 trials for each day from day 1 to day 5 with 1 probing test each at day 5 and day 8 3. mouse_anatomy.csv: brain region information regarding the connectivity matrix. 4. behavior.zip: behavioral data for each mouse from Morris Water Maze experiments.

Related Organizations

Duke University
United States

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