Recognizing syntactic errors in Chinese and English sentences: Brain electrical activity in Asperger's syndrome

Tsai, Arthur C.; Savostyanov, Alexander N.; Wu, Alan H.B.; Evans, Jonathan P.; Chien, Vincent; Yang, Han-Hsuan; Yang, Dongyu; Liou, Michelle

doi:10.1016/j.rasd.2013.02.001

Cited by 10 publications

(6 citation statements)

References 84 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In other words, AS subjects have more difficulty in brain organization of semantic and syntactic processes. Nevertheless, this deficit has been compensated by other brain regions, allowing AS individuals attain the same level of response activity as controls ( Tsai et al, 2013 ). Therefore, IQ components should also be considered as an important factor while studying AS.…”

Section: Asperger Syndromementioning

confidence: 99%

“…It is interesting that AS individuals are unable to talk about their own emotions but they can write about their lives ( Frith, 2004 ). Fortunately, despite the changes in organization of the brain for semantic and syntactic processing in AS group, the other brain mechanisms (top-down regulation) can compensate the deficits and allow AS to attain the same level of response and activation as healthy controls ( Tsai et al, 2013 ).…”

Section: Cognitive Markers Of Asperger Syndromementioning

confidence: 99%

See 1 more Smart Citation

Behavioral, Cognitive and Neural Markers of Asperger Syndrome

Faridi

Khosrowabadi

2017

BCN

View full text Add to dashboard Cite

Asperger syndrome (AS) is a subtype of Autism Spectrum Disorder (ASD) characterized by major problems in social and nonverbal communication, together with limited and repetitive forms of behavior and interests. The linguistic and cognitive development in AS is preserved which help us to differentiate it from other subtypes of ASD. However, significant effects of AS on cognitive abilities and brain functions still need to be researched. Although a clear cut pathology for Asperger has not been identified yet, recent studies have largely focused on brain imaging techniques to investigate AS. In this regard, we carried out a systematic review on behavioral, cognitive, and neural markers (specifically using MRI and fMRI) studies on AS. In this paper, behavior, motor skills and language capabilities of individuals with Asperger are compared to those in healthy controls. In addition, common findings across MRI and fMRI based studies associated with behavior and cognitive disabilities are highlighted.

show abstract

Section: Asperger Syndromementioning

confidence: 99%

Section: Cognitive Markers Of Asperger Syndromementioning

confidence: 99%

Behavioral, Cognitive and Neural Markers of Asperger Syndrome

Faridi

Khosrowabadi

2017

BCN

View full text Add to dashboard Cite

show abstract

“…The second data set was collected during the study in which the participants had to fulfil the linguistic task. They had to search for mistakes in written sentences (Tsai et al, 2013;Savostyanov et al, 2013). At present, the localization and the dynamics of brain activity under this task is well studied too (Friederici, 2004;Hagoort, 2003).…”

Section: Experimental Data and Evaluation Of The Algorithmmentioning

confidence: 99%

Advanced Electroencephalogram Processing

Golomolzina

Gorodnichev

Levin

et al. 2014

International Journal of E-Health and Medical Communications

Self Cite

View full text Add to dashboard Cite

The study of electroencephalography (EEG) data can involve independent component analysis and further clustering of the components according to relation of the components to certain processes in a brain or to external sources of electricity such as muscular motion impulses, electrical fields inducted by power mains, electrostatic discharges, etc. At present, known methods for clustering of components are costly because require additional measurements with magnetic-resonance imaging (MRI), for example, or have accuracy restrictions if only EEG data is analyzed. A new method and algorithm for automatic clustering of physiologically similar but statistically independent EEG components is described in this paper. Developed clustering algorithm has been compared with algorithms implemented in the EEGLab toolbox. The paper contains results of algorithms testing on real EEG data obtained under two experimental tasks: voluntary movement control under conditions of stop-signal paradigm and syntactical error recognition in written sentences. The experimental evaluation demonstrated more than 90% correspondence between the results of automatic clustering and clustering made by an expert physiologist.

show abstract

“…Therefore, the use of electrode grouping could be justified in this case, and has been employed in many other studies (e.g. Salti, Bar-Haim, & Lamy, 2012;or Tsai, Savostyanov, Wu et al, 2013). Another limitation is that the MP area is likely to be more affected by muscle contamination than more central or frontal sites, with ERPs in this area possibly distorted by large scalp muscles.…”

mentioning

confidence: 99%