Literature DB >> 23683150

Usefulness of near-infrared spectroscopy to detect brain dysfunction in children with autism spectrum disorder when inferring the mental state of others.

Ryoichiro Iwanaga1, Goro Tanaka, Hideyuki Nakane, Sumihisa Honda, Akira Imamura, Hiroki Ozawa.   

Abstract

AIMS: The purpose of this study was to examine the usefulness of near-infrared spectroscopy (NIRS) for identifying abnormalities in prefrontal brain activity in children with autism spectrum disorders (ASD) as they inferred the mental states of others.
METHODS: The subjects were 16 children with ASD aged between 8 and 14 years and 16 age-matched healthy control children. Oxygenated hemoglobin concentration was measured in the subject's prefrontal brain region on NIRS during tasks expressing a person's mental state (MS task) and expressing an object's characteristics (OC task).
RESULTS: There was a significant main effect of group (ASD vs control), with the control group having more activity than the ASD group. But there was no significant main effect of task (MS task vs OC task) or hemisphere (right vs left). Significant interactions of task and group were found, with the control group showing more activity than the ASD group during the MS task relative to the OC task.
CONCLUSIONS: NIRS showed that there was lower activity in the prefrontal brain area when children with ASD performed MS tasks. Therefore, clinicians might be able to use NIRS and these tasks for conveniently detecting brain dysfunction in children with ASD related to inferring mental states, in the clinical setting.
© 2013 The Authors. Psychiatry and Clinical Neurosciences © 2013 Japanese Society of Psychiatry and Neurology.

Entities:  

Mesh:

Year:  2013        PMID: 23683150     DOI: 10.1111/pcn.12052

Source DB:  PubMed          Journal:  Psychiatry Clin Neurosci        ISSN: 1323-1316            Impact factor:   5.188


  10 in total

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Review 2.  [Near-infrared spectroscopy as an auxiliary tool in the study of child development].

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Journal:  Rev Paul Pediatr       Date:  2015-03-20

Review 3.  Application of Functional Near-Infrared Spectroscopy to the Study of Brain Function in Humans and Animal Models.

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Journal:  Mol Cells       Date:  2017-08-23       Impact factor: 5.034

Review 4.  fNIRS Studies on Hemispheric Asymmetry in Atypical Neural Function in Developmental Disorders.

Authors:  Hirokazu Doi; Kazuyuki Shinohara
Journal:  Front Hum Neurosci       Date:  2017-04-12       Impact factor: 3.169

5.  Neural correlates of conflict between gestures and words: A domain-specific role for a temporal-parietal complex.

Authors:  J Adam Noah; Swethasri Dravida; Xian Zhang; Shaul Yahil; Joy Hirsch
Journal:  PLoS One       Date:  2017-03-09       Impact factor: 3.240

Review 6.  Neurobiological Aspects of Face Recognition: The Role of Oxytocin.

Authors:  Olga L Lopatina; Yulia K Komleva; Yana V Gorina; Haruhiro Higashida; Alla B Salmina
Journal:  Front Behav Neurosci       Date:  2018-08-28       Impact factor: 3.558

7.  Attenuation of long-range temporal correlations of neuronal oscillations in young children with autism spectrum disorder.

Authors:  Huibin Jia; Yanwei Li; Dongchuan Yu
Journal:  Neuroimage Clin       Date:  2018-08-09       Impact factor: 4.881

8.  The amplitude of fNIRS hemodynamic response in the visual cortex unmasks autistic traits in typically developing children.

Authors:  Raffaele Mazziotti; Elena Scaffei; Eugenia Conti; Viviana Marchi; Riccardo Rizzi; Giovanni Cioni; Roberta Battini; Laura Baroncelli
Journal:  Transl Psychiatry       Date:  2022-02-08       Impact factor: 7.989

9.  Evaluation of neurocognitive function of prefrontal cortex in ornithine transcarbamylase deficiency.

Authors:  Afrouz Anderson; Andrea Gropman; Cynthia Le Mons; Constantine Stratakis; Amir Gandjbakhche
Journal:  Mol Genet Metab       Date:  2020-01-10       Impact factor: 4.797

10.  Distributed Neural Activity Patterns during Human-to-Human Competition.

Authors:  Matthew Piva; Xian Zhang; J Adam Noah; Steve W C Chang; Joy Hirsch
Journal:  Front Hum Neurosci       Date:  2017-11-23       Impact factor: 3.169

  10 in total

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