Characterizing Attention with Predictive Network Models

doi:10.1016/j.tics.2017.01.011

Paper

Characterizing Attention with Predictive Network Models

Published Apr 1, 2017 · M. Rosenberg, E. Finn, D. Scheinost

Trends in Cognitive Sciences

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126

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3

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Abstract

Abstract removed due to Elsevier request; this does not indicate any issues with the research. Click the full text link above to read the abstract and view the original source.

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Study Snapshot

Key takeawayPredictive network models of brain connectivity can predict individuals' attentional abilities, improving assessment, diagnosis, and treatment of cognitive dysfunction.

PopulationOlder adults (50-71 years)

Sample size24

MethodsObservational

OutcomesBody Mass Index projections

ResultsSocial networks mitigate obesity in older groups.

Characterizing Attention with Predictive Network Models

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