• Title/Summary/Keyword: Sensory Processing Disorder (SPD)

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Neurophysiological Evidence for Sensory Processing Disorder (감각처리 장애에 대한 신경생리학적 증거들)

  • Kim, Eun-Young
    • Therapeutic Science for Rehabilitation
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    • v.1 no.1
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    • pp.5-16
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    • 2012
  • Sensory integration started as a theory to provide a occupational therapist with a useful frame for explaining and intervening the problems which children have. Most researches on sensory processing disorder (SPD) have been found empirical evidence to support the sensory integration theory by measuring behavioral manifestations of SPD. Recently, researchers who are interested in the diagnosis of SPD have begun to use neurophysiological methods to establish objective evidence for sensory integration. These studies reported the neurophysiological indexes reflecting the maladaptive behaviors as well as the difference between children with SPD and typically developing children in using electrodermal activity, vagal tone, EEG. Future neurophysiological studies on SPD will be expected to prove the efficacy of sensory integration intervention.

The Study of Discriminant Validity for the Sensory Processing Scale for Children (SPS-C) of Children with and without Sensory Processing Disorder (아동감각처리척도(Sensory Processing Scale for Children; SPS-C)의 판별타당도 연구)

  • Kim, Kyeong-Mi
    • The Journal of Korean Academy of Sensory Integration
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    • v.20 no.2
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    • pp.36-45
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    • 2022
  • Objective : The objective of this study was to determine a discriminat validity of the Sensory Processing Scale-Children (SPS-C) for children with and without Sensory Processing Disorder (SPD). Method : The SPS-C was completed by parents of 151 Korean children including 68 typically developing children (control group), 83 children with SPD (known group) in the age range 3-5 years, in South Korea. ANCOVA with sex as covariable was used to identified the difference between the children with typically development and SPD. Results : Sensory processing differences in sensory domains and sensory factors were detected and the gender differences were not effective between typically developing children and children with SPD. Significant differences were found in all sensory domain score and total score except proprioceptive processing in sensory domain. In sensory factors, significant differences were found in overrsensitivity, underresponsivity, and discrimination, but sensory seeking was not significant. SPS-C was a valid assessment tool to identify or screen of SPD in Korea. Conclusion : The psychometric characteristics for the standardization study of SPS-C were presented, and the discriminant validity to screen the children with sensory processing problems was presented as a verified evaluation tool. SPS-C will be helpful in screening, analyzing and interpreting characteristics of sensory processing, and establishing an intervention plan.

Temporal and Spatial Characteristics of Visual and Somatosensory Integration in Normal Adult Brain (정상성인의 시각 및 촉각 통합 작용 시 뇌신경세포의 전기생리적활동의 시간 및 공간적 특성: 예비실험)

  • Ju, Yu-Mi;Kim, Ji-Hyun
    • The Journal of Korean Academy of Sensory Integration
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    • v.8 no.1
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    • pp.41-49
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    • 2010
  • Objective : Multisensory integration (MSI) is the essential process to use diverse sensory information for cognitive task or execution of motor action. Especially, visual and somatosensory integration is critical for motor behavior and coordination. This study was designed to explain spatial and temporal characteristics of visual and somatosensory integration by neurophysiological research method that identifies the time course and brain location of the SI process. Methods : Electroencephalography (EEG) and event-related potential (ERP) is used in this study in order to observe neural activities when integrating visual and tactile input. We calculate the linear summation (SUM) of visual-related potentials (VEPs) and somatosensory-related potentials (SEPs), and compared the SUM with simultaneously presented visual-tactile ERPs(SIM) Results : There were significant differences between the SIM and SUM in later time epochs (about 200-300ms) at contralateral somatosensory areas (C4) and occipital cortices (O1&O2). The amplitude of the SIM was mathematically larger than the summed signals, implying that the integration made some extra neural activities. Conclusion : This study provides some empirical neural evidence of that multisensory integration is more powerful than just combing two unisensory inputs in the brain and ERP data reveals neural signature relating to multisensory integrative process. Since this study is preliminary pilot study, larger population and criteria are needed for level of the significance. Further study is recommended to consider issues including effect of internally-driven attention and laterality of interaction to make the evidence by this study solid.

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