Predicting Emotional Intelligence Scores from Multi-session Functional Brain Connectomes

Anna Lisowska, Islem Rekik (Lead / Corresponding author)

Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)

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Abstract

In this study, we aim to predict emotional intelligence scores from functional connectivity data acquired at different timepoints. To enhance the generalizability of the proposed predictive model to new data and accurate identification of most relevant neural correlates with different facets of the human intelligence, we propose a joint support vector machine and support vector regression (SVM + SVR) model. Specifically, we first identify most discriminative connections between subjects with high vs low emotional intelligence scores in the SVM step and then perform a multi-variate linear regression using these connections to predict the target emotional intelligence score in the SVR step. Our method
outperformed existing methods including the Connectome-based Predictive Model (CPM) using functional connectivity data simultaneously acquired with the intelligence scores. The most predictive connections of intelligence included brain regions involved in processing of emotions and social behaviour.
Original languageEnglish
Title of host publicationPRedictive Intelligence in MEdicine
Subtitle of host publicationFirst International Workshop, PRIME 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Proceedings
EditorsIslem Rekik, Gozde Unal, Ehsan Adeli, Sang Hyun Park
PublisherSpringer International Publishing
Number of pages9
ISBN (Electronic)9783030003203
ISBN (Print)9783030003197
Publication statusPublished - 2018
EventFirst International Workshop, PRIME 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018 - Granada, Spain
Duration: 16 Sep 201820 Sep 2018
https://www.miccai2018.org/en/

Publication series

NameLecture Notes in Computer Science
PublisherSpringer International Publishing
ISSN (Print)0302-9743

Conference

ConferenceFirst International Workshop, PRIME 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018
CountrySpain
CityGranada
Period16/09/1820/09/18
Internet address

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    Lisowska, A., & Rekik, I. (2018). Predicting Emotional Intelligence Scores from Multi-session Functional Brain Connectomes. In I. Rekik, G. Unal, E. Adeli, & S. H. Park (Eds.), PRedictive Intelligence in MEdicine: First International Workshop, PRIME 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Proceedings (Lecture Notes in Computer Science). Springer International Publishing. https://www.springerprofessional.de/en/predicting-emotional-intelligence-scores-from-multi-session-func/16118196