Clinical Cognitive Networks: A Graph Theory Approach

Yoed N. Kennet, Miriam Faust

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

Many clinical groups exhibit atypical thought, language, and communication skills. However, these deficiencies have been examined only indirectly via behavioral means. In this chapter we describe the developing field of Clinical Cognitive Network (CCN) analysis, which applies computational network science methodologies to examine clinical populations at the cognitive level. We argue for the importance of this approach in quantitatively and directly examining the nature of atypical thought processes and discuss how this approach is situated within current attempts to quantify psychopathology. Next, we present an initial overview of major CCN studies conducted on clinical groups, thus demonstrating the feasibility of this approach. Finally, we discuss how CCN can be applied in clinical diagnostics and treatment. Thus, although CCN is only developing, it is already demonstrating great promise in pushing the field of clinical research forward by quantitatively investigating atypical thought processes exhibited by clinical populations.
Original languageAmerican English
Title of host publicationNetwork Science in Cognitive Psychology
PublisherRoutledge/Taylor & Francis
Pages136-165
Number of pages10
ISBN (Electronic)9780367853259
StatePublished - Nov 2019

Fingerprint

Dive into the research topics of 'Clinical Cognitive Networks: A Graph Theory Approach'. Together they form a unique fingerprint.

Cite this