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Abstract #2684

Data-driven heatmap clustering approach to analyzing structural connectomes

Wilburn E Reddick1, Jordan Teague1, Ruitian Song1, John O Glass1, and Lisa M Jacola2
1Diagnostic Imaging, St. Jude Children's Research Hospital, Memphis, TN, United States, 2Psychology, St. Jude Children's Research Hospital, Memphis, TN, United States


Heatmap differences between 336 patients treated for ALL and 59 age-similar controls were calculated for a limited set of reproducible edges and clustered using an agglomerative hierarchical clustering that identified four clusters with unique connectivity. Differences in edges demonstrated patterns of lower (group 2), higher (group 4), or mixed (group 1 & 3) connectivity relative to controls. Neurocognitive performance was substantially below normal on measures of memory (DSF – groups 2 & 3; DSB - group 1; Visual matching – group 2). This data driven approach was able to identify four distinct groups of patients with unique connectivity profiles and cognitive performance.

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