Pragmatics, Theory of Mind and executive functions in schizophrenia: Disentangling the puzzle using machine learning.
Journal:
PloS one
PMID:
32126068
Abstract
OBJECTIVE: Schizophrenia is associated with a severe impairment in the communicative-pragmatic domain. Recent research has tried to disentangle the relationship between communicative impairment and other domains usually impaired in schizophrenia, i.e. Theory of Mind (ToM) and cognitive functions. However, the results are inconclusive and this relationship is still unclear. Machine learning (ML) provides novel opportunities for studying complex relationships among phenomena and representing causality among multiple variables. The present research explored the potential of applying ML, specifically Bayesian network (BNs) analysis, to characterize the relationship between cognitive, ToM and pragmatic abilities in individuals with schizophrenia and healthy controls, and to identify the cognitive and pragmatic abilities that are most informative in discriminating between schizophrenia and controls.
Authors
Keywords
Adult
Bayes Theorem
Case-Control Studies
Cognition
Communication
Executive Function
Female
Humans
Linguistics
Machine Learning
Male
Memory, Short-Term
Middle Aged
Models, Psychological
Neuropsychological Tests
Schizophrenia
Schizophrenic Psychology
Social Communication Disorder
Theory of Mind
Young Adult