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Reimagining Physician Assistant Education: Championing Cognitive Diversity to Promote Inclusivity, Neurodiversity Awareness, and a Sense of Belonging.

J Physician Assist Educ

January 2025

Tonya C. George, PhD, MSHS, MSPH, PA-C, DFAAP, is a assistant professor, Doctor of Medical Science Program, School of Health and Rehabilitation Sciences, University of Pittsburgh, Pittsburgh, Philadelphia.

Neurodiversity, encompassing conditions such as autism spectrum disorder, attention-deficit/hyperactivity disorder, and dyslexia, represents a significant and often under-recognized segment of the population, including within science, technology, engineering, mathematics, and medicine fields like medicine. Neurodiverse individuals possess unique skills, including enhanced creativity, analytical thinking, and meticulous attention to detail, which are valuable in health care professions. However, failure to recognize and support these individuals can result in missed opportunities, social isolation, and mental health challenges.

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Purpose: This research aims to identify the problems and needs of families of children with reading difficulties, develop an Integrated Process-Based Family Education Program (IPMD-F) to address these needs, and implement it.

Methods: The study used a community-based participatory action research approach, following a four-stage process: general information collection, needs identification and action plan creation, development and implementation of the IPMD-F, and evaluation. Conducted during the 2023-2024 academic year in Ankara, Turkey, with 16 volunteer parents of children diagnosed with learning disabilities, data were collected using qualitative and quantitative tools.

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The Neurodiversity Framework in Medicine: On the Spectrum.

Dev Neurobiol

January 2025

Department of Physical Medicine and Rehabilitation, Harvard Medical School, Boston, Massachusetts, USA.

The term "neurodiversity" refers to the natural heterogeneity in human neurological functioning, which includes neurodevelopmental differences and other mental health conditions (e.g., autism spectrum disorder [ASD], attention-deficit hyperactivity disorder [ADHD], dyslexia, bipolar disorder, schizophrenia, and depression).

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Understanding the balance between plastic and persistent traits in the dyslexic brain is critical for developing effective interventions. This longitudinal intervention study examines the Visual Word Form Area (VWFA) in dyslexic and typical readers, exploring how this key component of the brain's reading circuitry changes with learning. We found that dyslexic readers show significant differences in VWFA presence, size, and tuning properties compared to typical readers.

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Current diagnostic methods for dyslexia primarily rely on traditional paper-and-pencil tasks. Advanced technological approaches, including eye-tracking and artificial intelligence (AI), offer enhanced diagnostic capabilities. In this paper, we bridge the gap between scientific and diagnostic concepts by proposing a novel dyslexia detection method, called INSIGHT, which combines a visualisation phase and a neural network-based classification phase.

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