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Sensory Perception in Children With Epilepsy

Abant Izzet Baysal University · 2025
ClinicalTrials.gov · Datasets · License: Public Domain · 2025
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epilepsy
Epilepsy is a chronic neurological disorder characterized by abnormal neuronal activity, affecting approximately 0.5-1% of children worldwide. It has significant social, psychological, and physical consequences, leading to impairments in cognitive, motor, and behavioral functions. Sensory processing disorders (SPDs) further contribute to these challenges, affecting children's ability to regulate and interpret sensory information, which impacts learning, daily functioning, and emotional regulation. SPDs are categorized into sensory modulation disorder, sensory-based motor disorder, and sensory discrimination disorder. Dunn's sensory processing model identifies four sensory profiles: low registration, sensory seeking, sensory sensitivity, and sensory avoidance. Sensory modulation disorders, including sensory over-responsivity, under-responsivity, and seeking behaviors, can contribute to behavioral and functional difficulties in children with epilepsy. Existing studies on sensory processing in children with epilepsy are limited by small sample sizes and non-comprehensive assessments. This study aims to investigate sensory profiles and perception in a larger sample to enhance early detection and intervention strategies. Objectives: Evaluate sensory perception in children with epilepsy. Examine sensory profiles within this population. The study will include children aged 2-17 years meeting specific criteria. Data collection will involve demographic and epilepsy-related information (seizure onset, frequency, medication, comorbidities). A neurology specialist will assess cerebellar pathology. Sensory processing will be evaluated using the Sensory Processing Measure (SPM), a validated tool assessing sensory processing, balance, body awareness, ideation, and social participation. Based on prior studies, the required sample size is 34 participants. Statistical analyses will be performed using IBM SPSS v.26.0 and R v4.3.0. Normality will be assessed through graphical and
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