Brief Report: Neuroimaging Endophenotypes of Social Robotic Applications in Autism Spectrum Disorder.
A plethora of neuroimaging studies have focused on the discovery of potential neuroendophenotypes useful to understand the etiopathogenesis of autism and predict treatment response. Social robotics has recently been proposed as an effective tool to strengthen the current treatments in children with...
| Publicado en: | Journal of Autism & Developmental Disorders Vol. 51; no. 7; pp. 2538 - 2543 |
|---|---|
| Autores principales: | , , , , |
| Formato: | review Journal Article |
| Publicado: |
Springer Nature
Jul2021
|
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=150794131&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 150794131 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01623257 AUT jtl: Journal of Autism & Developmental Disorders issn: 01623257 maglogo: N pubinfo: dt: Jul2021 vid: 51 iid: 7 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 150794131 146043100 150794131 150794131 10.1007/s10803-020-04708-9 150794131 ppf: 2538 ppct: 5 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Brief Report: Neuroimaging Endophenotypes of Social Robotic Applications in Autism Spectrum Disorder. aug: au: Cerasa, Antonio Ruta, Liliana Marino, Flavia Biamonti, Giuseppe Pioggia, Giovanni affil: Institute for Biomedical Research and Innovation (IRIB), National Research Council, C/Da Burga, 87050, Cosenza, Mangone, Italy sug: subj: Autism Spectrum Disorder Diagnosis Phenotype Neuroradiography Autism Spectrum Disorder Therapy Robotics Utilization Child Biological Markers Therapy, Computer Assisted Methods Pediatric Care Child: 6-12 years ab: A plethora of neuroimaging studies have focused on the discovery of potential neuroendophenotypes useful to understand the etiopathogenesis of autism and predict treatment response. Social robotics has recently been proposed as an effective tool to strengthen the current treatments in children with autism. However, the high clinical heterogeneity characterizing this disorder might interfere with behavioral effects. Neuroimaging is set to overcome these limitations by capturing the level of heterogeneity. Here, we provide a preliminary evaluation of the neural basis of social robotics and how extracting neural hallmarks useful to design more effective behavioral applications. Despite the endophenotype-oriented neuroimaging research approach is in its relative infancy, this preliminary evidence encourages innovation to address its current limitations. pubtype: Academic Journal doctype: review Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
|---|