Repositorio Institucional
Repositorio Institucional
CONICET Digital
  • Inicio
  • EXPLORAR
    • AUTORES
    • DISCIPLINAS
    • COMUNIDADES
  • Estadísticas
  • Novedades
    • Noticias
    • Boletines
  • Ayuda
    • General
    • Datos de investigación
  • Acerca de
    • CONICET Digital
    • Equipo
    • Red Federal
  • Contacto
JavaScript is disabled for your browser. Some features of this site may not work without it.
  • INFORMACIÓN GENERAL
  • RESUMEN
  • ESTADISTICAS
 
Artículo

Are Brain Responses to Emotion a Reliable Endophenotype of Schizophrenia? An Image-Based Functional Magnetic Resonance Imaging Meta-analysis

Fiorito, Anna M.; Aleman, André; Blasi, Giuseppe; Bourque, Josiane; Cao, Hengyi; Chan, Raymond C.K.; Chowdury, Asadur; Conrod, Patricia; Diwadkar, Vaibhav A.; Goghari, Vina M.; Guinjoan, Salvador MartínIcon ; Gur, Raquel E.; Gur, Ruben C.; Kwon, Jun Soo; Lieslehto, Johannes; Lukow, Paulina B.; Meyer Lindenberg, Andreas; Modinos, Gemma; Quarto, Tiziana; Spilka, Michael J.; Shivakumar, Venkataram; Venkatasubramanian, Ganesan; Villarreal, Mirta FabianaIcon ; Wang, Yi; Wolf, Daniel H.; Yun, Je Yeon; Fakra, Eric; Sescousse, Guillaume
Fecha de publicación: 01/2023
Editorial: Elsevier Science Inc.
Revista: Biological Psychiatry
ISSN: 0006-3223
Idioma: Inglés
Tipo de recurso: Artículo publicado
Clasificación temática:
Otras Ciencias Médicas

Resumen

Background: Impaired emotion processing constitutes a key dimension of schizophrenia and a possible endophenotype of this illness. Empirical studies consistently report poorer emotion recognition performance in patients with schizophrenia as well as in individuals at enhanced risk of schizophrenia. Functional magnetic resonance imaging studies also report consistent patterns of abnormal brain activation in response to emotional stimuli in patients, in particular, decreased amygdala activation. In contrast, brain-level abnormalities in at-risk individuals are more elusive. We address this gap using an image-based meta-analysis of the functional magnetic resonance imaging literature. Methods: Functional magnetic resonance imaging studies investigating brain responses to negative emotional stimuli and reporting a comparison between at-risk individuals and healthy control subjects were identified. Frequentist and Bayesian voxelwise meta-analyses were performed separately, by implementing a random-effect model with unthresholded group-level T-maps from individual studies as input. Results: In total, 17 studies with a cumulative total of 677 at-risk individuals and 805 healthy control subjects were included. Frequentist analyses did not reveal significant differences between at-risk individuals and healthy control subjects. Similar results were observed with Bayesian analyses, which provided strong evidence for the absence of meaningful brain activation differences across the entire brain. Region of interest analyses specifically focusing on the amygdala confirmed the lack of group differences in this region. Conclusions: These results suggest that brain activation patterns in response to emotional stimuli are unlikely to constitute a reliable endophenotype of schizophrenia. We suggest that future studies instead focus on impaired functional connectivity as an alternative and promising endophenotype.
Palabras clave: AMYGDALA , EMOTIONS , ENDOPHENOTYPE , FUNCTIONAL MRI , META-ANALYSIS , SCHIZOPHRENIA
Ver el registro completo
 
Archivos asociados
Tamaño: 1.569Mb
Formato: PDF
.
Solicitar
Licencia
info:eu-repo/semantics/restrictedAccess Excepto donde se diga explícitamente, este item se publica bajo la siguiente descripción: Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Unported (CC BY-NC-SA 2.5)
Identificadores
URI: http://hdl.handle.net/11336/240747
DOI: http://dx.doi.org/10.1016/j.biopsych.2022.06.013
Colecciones
Articulos (INEU)
Articulos de INSTITUTO DE NEUROCIENCIAS
Citación
Fiorito, Anna M.; Aleman, André; Blasi, Giuseppe; Bourque, Josiane; Cao, Hengyi; et al.; Are Brain Responses to Emotion a Reliable Endophenotype of Schizophrenia? An Image-Based Functional Magnetic Resonance Imaging Meta-analysis; Elsevier Science Inc.; Biological Psychiatry; 93; 2; 1-2023; 167-177
Compartir
Altmétricas
 

Enviar por e-mail
Separar cada destinatario (hasta 5) con punto y coma.
  • Facebook
  • X Conicet Digital
  • Instagram
  • YouTube
  • Sound Cloud
  • LinkedIn

Los contenidos del CONICET están licenciados bajo Creative Commons Reconocimiento 2.5 Argentina License

https://www.conicet.gov.ar/ - CONICET

Inicio

Explorar

  • Autores
  • Disciplinas
  • Comunidades

Estadísticas

Novedades

  • Noticias
  • Boletines

Ayuda

Acerca de

  • CONICET Digital
  • Equipo
  • Red Federal

Contacto

Godoy Cruz 2290 (C1425FQB) CABA – República Argentina – Tel: +5411 4899-5400 repositorio@conicet.gov.ar
TÉRMINOS Y CONDICIONES