Predicting pediatric anxiety from the temporal pole using neural responses to emotional faces

Abstract A prominent cognitive aspect of anxiety is dysregulation of emotional interpretation of facial expressions, associated with neural activity from the amygdala and prefrontal cortex. We report machine learning analysis of fMRI results supporting a key role for a third area, the temporal pole...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Jeffrey Sawalha, Muhammad Yousefnezhad, Alessandro M. Selvitella, Bo Cao, Andrew J. Greenshaw, Russell Greiner
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/73fe96fcedb94206827d6b1cf5c502b7
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:73fe96fcedb94206827d6b1cf5c502b7
record_format	dspace
spelling	oai:doaj.org-article:73fe96fcedb94206827d6b1cf5c502b72021-12-02T18:51:47ZPredicting pediatric anxiety from the temporal pole using neural responses to emotional faces10.1038/s41598-021-95987-42045-2322https://doaj.org/article/73fe96fcedb94206827d6b1cf5c502b72021-08-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-95987-4https://doaj.org/toc/2045-2322Abstract A prominent cognitive aspect of anxiety is dysregulation of emotional interpretation of facial expressions, associated with neural activity from the amygdala and prefrontal cortex. We report machine learning analysis of fMRI results supporting a key role for a third area, the temporal pole (TP) for childhood anxiety in this context. This finding is based on differential fMRI responses to emotional faces (angry versus fearful faces) in children with one or more of generalized anxiety, separation anxiety, and social phobia (n = 22) compared with matched controls (n = 23). In our machine learning (Adaptive Boosting) model, the right TP distinguished anxious from control children (accuracy = 81%). Involvement of the TP as significant for neurocognitive aspects of pediatric anxiety is a novel finding worthy of further investigation.Jeffrey SawalhaMuhammad YousefnezhadAlessandro M. SelvitellaBo CaoAndrew J. GreenshawRussell GreinerNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-17 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Jeffrey Sawalha Muhammad Yousefnezhad Alessandro M. Selvitella Bo Cao Andrew J. Greenshaw Russell Greiner Predicting pediatric anxiety from the temporal pole using neural responses to emotional faces
description	Abstract A prominent cognitive aspect of anxiety is dysregulation of emotional interpretation of facial expressions, associated with neural activity from the amygdala and prefrontal cortex. We report machine learning analysis of fMRI results supporting a key role for a third area, the temporal pole (TP) for childhood anxiety in this context. This finding is based on differential fMRI responses to emotional faces (angry versus fearful faces) in children with one or more of generalized anxiety, separation anxiety, and social phobia (n = 22) compared with matched controls (n = 23). In our machine learning (Adaptive Boosting) model, the right TP distinguished anxious from control children (accuracy = 81%). Involvement of the TP as significant for neurocognitive aspects of pediatric anxiety is a novel finding worthy of further investigation.
format	article
author	Jeffrey Sawalha Muhammad Yousefnezhad Alessandro M. Selvitella Bo Cao Andrew J. Greenshaw Russell Greiner
author_facet	Jeffrey Sawalha Muhammad Yousefnezhad Alessandro M. Selvitella Bo Cao Andrew J. Greenshaw Russell Greiner
author_sort	Jeffrey Sawalha
title	Predicting pediatric anxiety from the temporal pole using neural responses to emotional faces
title_short	Predicting pediatric anxiety from the temporal pole using neural responses to emotional faces
title_full	Predicting pediatric anxiety from the temporal pole using neural responses to emotional faces
title_fullStr	Predicting pediatric anxiety from the temporal pole using neural responses to emotional faces
title_full_unstemmed	Predicting pediatric anxiety from the temporal pole using neural responses to emotional faces
title_sort	predicting pediatric anxiety from the temporal pole using neural responses to emotional faces
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/73fe96fcedb94206827d6b1cf5c502b7
work_keys_str_mv	AT jeffreysawalha predictingpediatricanxietyfromthetemporalpoleusingneuralresponsestoemotionalfaces AT muhammadyousefnezhad predictingpediatricanxietyfromthetemporalpoleusingneuralresponsestoemotionalfaces AT alessandromselvitella predictingpediatricanxietyfromthetemporalpoleusingneuralresponsestoemotionalfaces AT bocao predictingpediatricanxietyfromthetemporalpoleusingneuralresponsestoemotionalfaces AT andrewjgreenshaw predictingpediatricanxietyfromthetemporalpoleusingneuralresponsestoemotionalfaces AT russellgreiner predictingpediatricanxietyfromthetemporalpoleusingneuralresponsestoemotionalfaces
_version_	1718377390737981440

Predicting pediatric anxiety from the temporal pole using neural responses to emotional faces

Ejemplares similares