Brief Report: Neuroimaging Endophenotypes of Social Robotic Applications in Autism Spectrum Disorder

被引:4
作者
Cerasa, Antonio [1 ,2 ]
Ruta, Liliana [3 ]
Marino, Flavia [3 ]
Biamonti, Giuseppe [1 ,3 ]
Pioggia, Giovanni [3 ]
机构
[1] CNR, Inst Biomed Res & Innovat IRIB, C Da Burga, I-87050 Cosenza, Mangone, Italy
[2] S Anna Inst, I-88900 Crotone, Italy
[3] Nationasssl Res Council, Inst Biomed Res & Innovat IRIB, I-98164 Messina, Italy
关键词
Autism spectrum disorder; Neuroimaging; Social robot; Neuroendophenotype; CHILDREN; FACES;
D O I
10.1007/s10803-020-04708-9
中图分类号
B844 [发展心理学(人类心理学)];
学科分类号
040202 ;
摘要
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.
引用
收藏
页码:2538 / 2542
页数:5
相关论文
共 35 条
[1]  
American Psychological Association, 2017, APA POL APPL BEH AN
[2]  
Anzalone S., 2019, P 3 IT WORKSH ART IN
[3]  
Chaminade T., 2012, 2012 RO-MAN: The 21st IEEE International Symposium on Robot and Human Interactive Communication, P380, DOI 10.1109/ROMAN.2012.6343782
[4]   Variability of cortical oscillation patterns: A possible endophenotype in autism spectrum disorders? [J].
David, Nicole ;
Schneider, Till R. ;
Peiker, Ina ;
Al-Jawahiri, Reem ;
Engel, Andreas K. ;
Milne, Elizabeth .
NEUROSCIENCE AND BIOBEHAVIORAL REVIEWS, 2016, 71 :590-600
[5]   Genetic architecture in autism spectrum disorder [J].
Devlin, Bernie ;
Scherer, Stephen W. .
CURRENT OPINION IN GENETICS & DEVELOPMENT, 2012, 22 (03) :229-237
[6]   Neuroimaging in autism-from basic science to translational research [J].
Ecker, Christine ;
Murphy, Declan .
NATURE REVIEWS NEUROLOGY, 2014, 10 (02) :82-91
[7]   Modern Technologies in Studying the Mechanisms, Diagnostics, and Treatment of Autism Spectrum Disorders [J].
Fedotchev, A. I. ;
Dvoryaninova, V. V. ;
Velikova, S. D. ;
Zemlyanaya, A. A. .
SOVREMENNYE TEHNOLOGII V MEDICINE, 2019, 11 (01) :31-38
[8]  
Fu BQ, 2017, IMMUNITY, V47, P1100, DOI [10.1016/j.immuni.2017.11.018, 10.15585/mmwr.ss6904a1]
[9]   Autism spectrum disorders: developmental disconnection syndromes [J].
Geschwind, Daniel H. ;
Levitt, Pat .
CURRENT OPINION IN NEUROBIOLOGY, 2007, 17 (01) :103-111
[10]   A POLYGENIC THEORY OF SCHIZOPHRENIA [J].
GOTTESMAN, II ;
SHIELDS, J .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 1967, 58 (01) :199-+