Publications by authors named "J Passler"

Objective: To investigate depression at 12 months after traumatic brain injury (TBI) in older adults compared with younger adults.

Design: Prospective longitudinal cohort study of persons with medically documented mild, moderate, and severe TBI at 12 months postinjury.

Setting: Eighteen participating Level 1 trauma centers in the United States.

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Article Synopsis
  • Cognitive processing speed is crucial for daily activities in individuals with mild cognitive impairment (MCI), yet its effects haven't been fully explored alongside Alzheimer's disease (AD) risk factors.
  • A study involving 103 participants assessed how processing speed and AD biomarkers relate to daily functioning, mobility, and driving capabilities using statistical models.
  • The findings revealed that faster processing speed and certain brain markers (like SPARE-AD) correlate strongly with better performance in daily tasks and driving, emphasizing processing speed's importance in the lives of those with MCI.
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Objective: The aim of the study was to examine the relationship between longitudinally assessed cognitive functioning and self-reported dementia status using the Ascertain Dementia 8-item questionnaire (AD8) in a national population-based sample.

Methods: The analysis included 14,453 participants from the REasons for Geographic and Racial Differences in Stroke study. A validated cutoff of ≥2 symptoms endorsed on the AD8 (administered 10 years after enrollment) represented positive AD8 status.

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This study examined the relationship between cognitive change and instrumental activities of daily living (IADL) in a large, national, population-based sample. Cognitive change was assessed via verbal fluency, word list learning (WLL), and word list delayed recall (WLD). Incident cognitive impairment was defined by change in Six-Item Screener (SIS) status over a period of 10 years.

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Differentiating between epilepsy and psychogenic non-epileptic events (PNEE) can be difficult given similar presentations. PNEE is often misdiagnosed, resulting in unwarranted treatment with anti-epileptic drugs (AED). While the gold standard for differentiating PNEE from epilepsy is video EEG (VEGG) monitoring, self-reported symptomology has also been shown to discriminate between epilepsy and PNEE with high accuracy, particularly in cases where VEEG is difficult to obtain or when there are no observed events during extended monitoring.

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