This study examined the effects of familiarization and speaking condition on sentence intelligibility for a speaker with dysarthria secondary to a traumatic brain injury (TBI). Familiarization procedures included hearing the speaker read a paragraph or a word list comprised of a random ordering of the words in the paragraph. Such an approach allowed for statements concerning the benefit of prior exposure to a sentence-level prosody and word level articulatory-acoustic patterns versus only word-level articulatory-acoustic patterns. Following word list, paragraph, or no familiarization, listeners orthographically transcribed sentences in either a habitual, slow, fast, or loud condition. Listeners receiving either word list or paragraph familiarization accurately transcribed a higher percentage of words in sentences than listeners receiving no familiarization. Intelligibility scores did not differ for word list or paragraph familiarization, however. Listeners also were more accurate transcribing sentences produced in the loud condition compared to habitual and fast conditions. Clinical implications are discussed.
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http://dx.doi.org/10.1080/02699200500224272 | DOI Listing |
Front Psychol
January 2025
Istituti Clinici Scientifici Maugeri IRCCS, Laboratory of Neuropsychology of Bari Institute, Bari, Italy.
Introduction: Cognitive symptoms are common in Parkinson's Disease (PD), and digital interventions like telerehabilitation other an accessible way to manage these symptoms. This study aimed to assess the effectiveness of a Home-Based Computerized Cognitive Training (HB-CCT) program in individuals with PD using a pilot randomized cross-over design.
Methods: Twenty-five participants (mean age 69.
Dement Geriatr Cogn Dis Extra
December 2024
Division of Clinical Medicine, Department of Psychiatry, Institute of Medicine, University of Tsukuba, Tsukuba, Japan.
Introduction: After Alzheimer's disease, frontotemporal lobar degeneration (FTLD) is the second most common form of early-onset dementia. Despite the heavy burden of care for FTLD, pharmacological and non-pharmacological treatments with sufficient efficacy remain scarce. This study aimed to evaluate the feasibility of a multimodal exercise program for FTLD and to examine preliminary changes in the clinical outcomes of the program in FTLD.
View Article and Find Full Text PDFHum Brain Mapp
February 2025
Neuroscience and Neuroengineering Research Laboratory, Biomedical Engineering Department, School of Electrical Engineering, Iran University of Science and Technology (IUST), Tehran, Iran.
Implicit motor learning involves the acquisition and consolidation of motor skills without conscious awareness, influenced by various factors. Punishment and reward have been identified as significant modulators during training, impacting skill acquisition differently. Additionally, the role of a second declarative task in offline consolidation has been explored, affecting both stabilization and enhancement processes during wake and sleep periods.
View Article and Find Full Text PDFDuring their daily lives humans are often confronted with sustained cognitive activities (SCA) leading to state fatigue, a psychobiological state characterized by a decrease in cognitive and/or motor performance and/or an increase in perception of fatigue. It was recently shown that performing SCA can impair overground dual-task gait performance in older adults, but it is currently unknown whether there is a task- and/or age-specific modulation in gait performance during treadmill walking. Therefore, the effect of a SCA on single- and dual-task treadmill walking performance was investigated in young and old adults.
View Article and Find Full Text PDFPrehosp Emerg Care
January 2025
Department of Pediatrics, University of Colorado School of Medicine, Aurora, Colorado.
Objectives: Abusive head trauma (AHT) is a leading cause of death in young children. Analyses of patient characteristics presenting to Emergency Medical Services (EMS) are often limited to structured data fields. Artificial Intelligence (AI) and Large Language Models (LLM) may identify rare presentations like AHT through factors not found in structured data.
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