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Articles 1 - 6 of 6
Full-Text Articles in Medicine and Health Sciences
Scoring Morphology In Measures Of Spelling And Written Morphological Awareness: A Scoping Review, Victor A. Lugo, Kimberly A. Murphy, Emily Diehm
Scoring Morphology In Measures Of Spelling And Written Morphological Awareness: A Scoping Review, Victor A. Lugo, Kimberly A. Murphy, Emily Diehm
Communication Disorders & Special Education Faculty Publications
No abstract provided.
An Overview Of Dyslexia: Definition, Characteristics, Assessment, Identification, And Intervention, Jane Roitsch, Silvana M. Watson
An Overview Of Dyslexia: Definition, Characteristics, Assessment, Identification, And Intervention, Jane Roitsch, Silvana M. Watson
Communication Disorders & Special Education Faculty Publications
Background: Dyslexia is a developmental brain-based type of learning disability that affects a person's ability to read and spell words. Best estimates place 5 percent to 10 percent of the population with the condition, but the incidence of dyslexia is challenging to pinpoint, as the definition of dyslexia varies throughout research. Objective: The purpose of this article is to provide an overview of dyslexia, its characteristics, assessment and identification, and intervention techniques for the condition. Results: Although the disorder varies from person to person, common characteristics among people with dyslexia include difficulty with phonological skills, low accuracy and fluency of …
Creating Head Space: Using Spaced Retrieval Practice To Teach Cranial Nerves To Graduate Slp Students, Rachel K. Johnson, Anne M.P. Michalek, Corrin Richels
Creating Head Space: Using Spaced Retrieval Practice To Teach Cranial Nerves To Graduate Slp Students, Rachel K. Johnson, Anne M.P. Michalek, Corrin Richels
Communication Disorders & Special Education Faculty Publications
The purpose of this study was to investigate the effectiveness of spaced retrieval practice on graduate speech-language pathology (SLP) student’s long-term retention of cranial nerves. This is a quasi-experimental design study using a repeated measures and between group design where the control group was not randomly assigned. The accuracy and quality of cranial nerve knowledge was measured in graduate SLP students who did not practice spaced retrieval (control), and those who practiced spaced retrieval for three (EG1) or four (EG2) semesters. The quality and accuracy of cranial nerve knowledge improved significantly for both experimental groups compared to the control group. …
Treatment Of Auditory Processing In Noise In Individuals With Mild Aphasia: Pilot Study, Anastasia M. Raymer, Hilary M. Sandberg, Kathryn S. Schwartz, Ginger S. Watson, Stacie I. Ringleb
Treatment Of Auditory Processing In Noise In Individuals With Mild Aphasia: Pilot Study, Anastasia M. Raymer, Hilary M. Sandberg, Kathryn S. Schwartz, Ginger S. Watson, Stacie I. Ringleb
Communication Disorders & Special Education Faculty Publications
Purpose: Listening in noise challenges listeners with auditory comprehension impairments in aphasia. We examined the effects of Trivia Game, a computerized program with questions spoken in increasing levels of background noise with success in the game.
Methods: We piloted Trivia Game in four individuals with chronic aphasia and mild auditory comprehension impairments. Participants played Trivia Game for 12 twenty-minute sessions. In addition to the Western Aphasia Battery (WAB), we measured outcomes on Quick Speech in Noise (QSIN), a sentence repetition test, administered in auditory (AUD) and auditory+visual (AV) conditions as signal-to-noise ratio varied from 25 to 0 dB.
Results: All …
Eeg-Based Processing And Classification Methodologies For Autism Spectrum Disorder: A Review, Gunavaran Brihadiswaran, Dilantha Haputhanthri, Sahan Gunathilaka, Dulani Meedeniya, Sampath Jayarathna
Eeg-Based Processing And Classification Methodologies For Autism Spectrum Disorder: A Review, Gunavaran Brihadiswaran, Dilantha Haputhanthri, Sahan Gunathilaka, Dulani Meedeniya, Sampath Jayarathna
Computer Science Faculty Publications
Autism Spectrum Disorder is a lifelong neurodevelopmental condition which affects social interaction, communication and behaviour of an individual. The symptoms are diverse with different levels of severity. Recent studies have revealed that early intervention is highly effective for improving the condition. However, current ASD diagnostic criteria are subjective which makes early diagnosis challenging, due to the unavailability of well-defined medical tests to diagnose ASD. Over the years, several objective measures utilizing abnormalities found in EEG signals and statistical analysis have been proposed. Machine learning based approaches provide more flexibility and have produced better results in ASD classification. This paper presents …
Electroencephalogram (Eeg) For Delineating Objective Measure Of Autism Spectrum Disorder, Sampath Jayarathna, Yasith Jayawardana, Mark Jaime, Sashi Thapaliya
Electroencephalogram (Eeg) For Delineating Objective Measure Of Autism Spectrum Disorder, Sampath Jayarathna, Yasith Jayawardana, Mark Jaime, Sashi Thapaliya
Computer Science Faculty Publications
Autism spectrum disorder (ASD) is a developmental disorder that often impairs a child's normal development of the brain. According to CDC, it is estimated that 1 in 6 children in the US suffer from development disorders, and 1 in 68 children in the US suffer from ASD. This condition has a negative impact on a person's ability to hear, socialize, and communicate. Subjective measures often take more time, resources, and have false positives or false negatives. There is a need for efficient objective measures that can help in diagnosing this disease early as possible with less effort. EEG measures the …