People With Early Psychosis Exhibit Distinct Profiles in Neurocognition, Social Cognition and Cognitive Biases: An Exploratory Cluster Analysis

Fuente: Wiley Open Access
Saved in:
Bibliographic Details
Main Authors: Josep Pena‐Garijo, María Lacruz, María José Masanet, Ana Palop‐Grau
Format: Artículo Open Access
Published: Wiley 2026
Subjects:
Online Access:
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1867009180322234368
author Josep Pena‐Garijo
María Lacruz
María José Masanet
Ana Palop‐Grau
author_facet Josep Pena‐Garijo
María Lacruz
María José Masanet
Ana Palop‐Grau
Josep Pena‐Garijo
María Lacruz
María José Masanet
Ana Palop‐Grau
collection Wiley Open Access
contents People With Early Psychosis Exhibit Distinct Profiles in Neurocognition, Social Cognition and Cognitive Biases: An Exploratory Cluster Analysis Josep Pena‐Garijo María Lacruz María José Masanet Ana Palop‐Grau Clinical Psychology & Psychotherapy ABSTRACT Research into the differences across cognitive domains has been conducted to characterize the various presentations of schizophrenia‐spectrum disorders. We aimed to identify distinct combined cognitive profiles with clinical relevance in patients with early psychosis (EP) by integrating neurocognition, social cognition and cognitive biases (CBs). Seventy‐five outpatients attending an EP programme were assessed on neuropsychological performance, Theory of Mind (ToM), facial emotion recognition (FER), jumping to conclusions (JTC) bias and self‐reported CBs through standardized tools. A two‐step cluster analysis was performed to identify latent profiles. The optimal number of clusters was determined based on the Bayesian information criterion. Symptom dimensions, depression, global functioning, antipsychotic use, duration of untreated psychosis (DUP) and sociodemographic variables were compared across the resulting clusters. Two distinct profiles were identified. The first cluster (53.3%) was characterized by significant impairments in neurocognition, ToM and FER, as well as greater JTC and self‐reported CBs. The second cluster (46.7%) was defined by relatively preserved performance across cognitive domains. Furthermore, the impaired cluster showed more severe positive, negative and disorganized symptoms, poorer functioning, lower premorbid intelligence and increased use of antipsychotics. No significant differences were found for depression, DUP or sociodemographic variables. Concluding, cognitive clustering revealed a clinically impaired subgroup of patients with more severe psychotic symptoms and poorer functioning. Our results may contribute to a better understanding of the distinct cognitive profiles of patients with EP. These findings may be relevant because several interventions targeting different cognitive domains have been shown to improve clinical and functional outcomes in EP. 10.1002/cpp.70226 http://onlinelibrary.wiley.com/termsAndConditions#vor
doi_str_mv 10.1002/cpp.70226
format Artículo Open Access
id wiley_oa_10_1002_cpp_70226
institution Wiley Open Access
license_str_mv http://onlinelibrary.wiley.com/termsAndConditions#vor
publishDate 2026
publisher Wiley
record_format wiley_oa
spellingShingle People With Early Psychosis Exhibit Distinct Profiles in Neurocognition, Social Cognition and Cognitive Biases: An Exploratory Cluster Analysis
Josep Pena‐Garijo
María Lacruz
María José Masanet
Ana Palop‐Grau
Clinical Psychology & Psychotherapy
People With Early Psychosis Exhibit Distinct Profiles in Neurocognition, Social Cognition and Cognitive Biases: An Exploratory Cluster Analysis Josep Pena‐Garijo María Lacruz María José Masanet Ana Palop‐Grau Clinical Psychology & Psychotherapy ABSTRACT Research into the differences across cognitive domains has been conducted to characterize the various presentations of schizophrenia‐spectrum disorders. We aimed to identify distinct combined cognitive profiles with clinical relevance in patients with early psychosis (EP) by integrating neurocognition, social cognition and cognitive biases (CBs). Seventy‐five outpatients attending an EP programme were assessed on neuropsychological performance, Theory of Mind (ToM), facial emotion recognition (FER), jumping to conclusions (JTC) bias and self‐reported CBs through standardized tools. A two‐step cluster analysis was performed to identify latent profiles. The optimal number of clusters was determined based on the Bayesian information criterion. Symptom dimensions, depression, global functioning, antipsychotic use, duration of untreated psychosis (DUP) and sociodemographic variables were compared across the resulting clusters. Two distinct profiles were identified. The first cluster (53.3%) was characterized by significant impairments in neurocognition, ToM and FER, as well as greater JTC and self‐reported CBs. The second cluster (46.7%) was defined by relatively preserved performance across cognitive domains. Furthermore, the impaired cluster showed more severe positive, negative and disorganized symptoms, poorer functioning, lower premorbid intelligence and increased use of antipsychotics. No significant differences were found for depression, DUP or sociodemographic variables. Concluding, cognitive clustering revealed a clinically impaired subgroup of patients with more severe psychotic symptoms and poorer functioning. Our results may contribute to a better understanding of the distinct cognitive profiles of patients with EP. These findings may be relevant because several interventions targeting different cognitive domains have been shown to improve clinical and functional outcomes in EP. 10.1002/cpp.70226 http://onlinelibrary.wiley.com/termsAndConditions#vor
title People With Early Psychosis Exhibit Distinct Profiles in Neurocognition, Social Cognition and Cognitive Biases: An Exploratory Cluster Analysis
topic Clinical Psychology & Psychotherapy
url https://onlinelibrary.wiley.com/doi/10.1002/cpp.70226