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Welcome to Active Bodies, Active Minds. This week's issue considers connections between brain structure and symptoms, examining how white matter differs across neurodegenerative conditions and how symptom clusters in Alzheimer's disease relate to brain anatomy. We also look at the application of technology to health, from turning wearable data into personalized feedback for older adults and the use of web applications for individuals living with Primary Progressive Aphasia, to the analysis of vocal acoustics in people with Parkinson disease.
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Does Parkinson's disease affect the brain's white matter differently than Alzheimer's or cerebrovascular disease?
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It is not well understood how the brain's white matter microstructure differs among people with Alzheimer's disease/mild cognitive impairment (ADMCI), Parkinson's disease (PD), and cerebrovascular disease (CVD). To investigate this, researchers used diffusion tensor imaging data from ADMCI, CVD, and PD patients to reconstruct and calculate metrics for 39 white matter pathways.
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Broberg, D. N., Black, S. E., Swartz, R. H., Lang, A. E., Roberts, A. C., Bartha, R., & (2025). Microstructural differences in white matter tracts in Alzheimer's disease, cerebrovascular disease, and Parkinson's disease. Alzheimer's & Dementia, 21(S2). https://doi.org/10.1002/alz70856_104478
Angela Roberts
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Do all neurodegenerative diseases affect the brain's wiring in the same way?
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It is not well understood how the brain's white matter differs between patients with Alzheimer’s disease/mild cognitive impairment, Parkinson’s disease, and cerebrovascular disease. This study used diffusion tensor imaging data from patients with these conditions to reconstruct and compare the microstructure of their white matter tracts.
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Broberg, D. N., Black, S. E., Swartz, R. H., Lang, A. E., Roberts, A. C., & Bartha, R. (2025). Microstructural differences in white matter tracts in Alzheimer’s disease, cerebrovascular disease, and Parkinson's disease. Alzheimer's & Dementia, 21(S8). https://doi.org/10.1002/alz70862_110131
Angela Roberts
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Do different types of psychiatric symptoms in Alzheimer's disease relate to changes in distinct brain regions?
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Neuropsychiatric symptoms present a major challenge for patients with Alzheimer's disease. Researchers identified clusters of these symptoms in 111 participants and longitudinally evaluated their association with daily living activities and brain volumes using questionnaire and MRI data.
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Kapustin, D., Rashidi‐Ranjbar, N., Wang, W., Binns, M., McLaughlin, P. M., Abrahao, A., Grimes, D. A., Lang, A. E., Marras, C., Masellis, M., Orange, J. B., Rajji, T. K., Roberts, A. C., Saposnik, G., Swartz, R. H., Tang‐Wai, D. F., Tartaglia, C., Troyer, A., Fischer, C. E., & Kumar, S. (2025). Neuropsychiatric Symptom Clusters and their Association with Function and Brain Structure. Alzheimer's & Dementia, 21(S2). https://doi.org/10.1002/alz70856_103652
Angela Roberts
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How can wearable data become meaningful feedback for older adults with cognitive impairment?
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It is a challenge to translate data from wearable technologies into personalized feedback to support aging individuals and those with Alzheimer's disease and related dementias. This work reviewed clinical trials and longitudinal studies to analyze strategies for co-designing interventions with patients, care partners, and clinicians.
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Roberts, A. C., Rogalski, E. J., Initiative, S. R., & Initiative, O. N. D. R. (2025). Personalized Feedback from Wearables to Enhance Health Behaviour, Adherence, and Outcomes in Aging and Dementia Research. Alzheimer's & Dementia, 21(S4). https://doi.org/10.1002/alz70858_105206
Angela Roberts
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Can people with progressive language decline use a web app for communication practice?
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Individuals living with Primary Progressive Aphasia have limited access to care, and there has not been a systematic exploration of the factors that affect their use of web applications. This study evaluated an app-based intervention by analyzing quantitative application engagement data and qualitative insights from semi-structured post-study interviews.
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Fegter, O., Roberts, A. C., Bona, M., Rademaker, A., & Rogalski, E. J. (2025). Usage and Feasibility of Web Applications in Speech‐Language Therapy: Insights from the Communication Bridge 2 Trial for Primary Progressive Aphasia. Alzheimer's & Dementia, 21(S9). https://doi.org/10.1002/alz70863_110693
Angela Roberts
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Can people with progressive language decline use a therapy app?
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Individuals with Primary Progressive Aphasia have limited access to care, and the factors affecting their use of web applications have not been systematically explored. To evaluate an app-based intervention, researchers analyzed quantitative application engagement data and conducted semi-structured post-study interviews.
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Fegter, O., Roberts, A. C., Bona, M., Rademaker, A., & Rogalski, E. J. (2025). Usage and Feasibility of Web Applications in Speech‐Language Therapy: Insights from the Communication Bridge 2 Trial for Primary Progressive Aphasia. Alzheimer's & Dementia, 21(S9). https://doi.org/10.1002/alz70863_110899
Angela Roberts
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Can people with progressive language loss use a therapy app?
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Individuals living with Primary Progressive Aphasia, a dementia syndrome characterized by progressive language decline, have limited access to care. To evaluate an app-based intervention, researchers analyzed application engagement data and conducted semi-structured post-study interviews with participants from a 12-month trial.
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Fegter, O., Roberts, A. C., Bona, M., Rademaker, A., & Rogalski, E. J. (2025). Usage and Feasibility of Web Applications in Speech‐Language Therapy: Insights from the Communication Bridge 2 Trial for Primary Progressive Aphasia. Alzheimer's & Dementia, 21(S4). https://doi.org/10.1002/alz70858_103452
Angela Roberts
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Can the reverberation within a voice help detect Parkinson's disease?
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Parkinson disease can impair speech production, altering a person's vocal loudness, tone, and articulation. To study this, researchers measured the reverberation characteristics of speech segments taken from recordings of people with Parkinson disease and healthy individuals.
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Haider, F., Diviza, N., Breen, D. P., Roberts, A. C., & Luz, S. (2026). Reverberation Time as an Acoustic Biomarker for Speech Impairment in Parkinson Disease. Communications in Computer and Information Science, 91-102. https://doi.org/10.1007/978-3-032-07083-8_7
Angela Roberts
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Canadian Centre for Activity and Aging
Faculty of Health Sciences, Western University
1201 Western Road Elborn College, Suite 1101, London, Ontario N6G 1H1, CA
ccaa@uwo.ca
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Some components of this newsletter were generated using AI.
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