Publications by authors named "P D McGrath"
Methods from Machine Learning (ML) and Computer Vision (CV) have proven powerful tools for quickly and accurately analyzing behavioral recordings. The computational complexity of these techniques, however, often precludes applications that require real-time analysis: for example, experiments where a stimulus must be applied in response to a particular behavior or samples must be collected soon after the behavior occurs. Here, we describe SARTAB (Scalable Automated Real-Time Analysis of Behavior), a system that achieves automated real-time behavior detection by continuously monitoring animal positions relative to behaviorally relevant Regions Of Interest (ROIs).
View Article and Find Full Text PDFIntroduction: There is a lack of cognitive tools to predict disease progression in mild cognitive impairment (MCI) and Alzheimer's disease (AD).
Methods: We assessed patients with MCI, AD, and cognitively healthy controls (cHC) using NIH toolbox assessments for attention/concentration and executive functioning and overall cognitive decline by the Alzheimer's Disease Assessment Scale-Cognitive (ADAS-Cog).
Results: Among 183 participants over a median follow-up of 540 days, both between- and within-subjects variance in NIH toolbox and ADAS-Cog assessments increased from cHC to MCI to AD patients.
Chromosomal inversions are an important class of genetic variation that link multiple alleles together into a single inherited block that can have important effects on fitness. To study the role of large inversions in the massive evolutionary radiation of Lake Malawi cichlids, we used long-read technologies to identify four single and two tandem inversions that span half of each respective chromosome, and which together encompass over 10% of the genome. Each inversion is fixed in one of the two states within the seven major ecogroups, suggesting they played a role in the separation of the major lake lineages into specific lake habitats.
View Article and Find Full Text PDFArticle Synopsis
- - Youth mental health organizations are increasingly using virtual care and technology, but this shift has not effectively addressed mental health disparities in underserved populations, and may have worsened the situation in some cases.
- - The DIVERT initiative and its partners hosted a workshop aimed at bringing together various stakeholders to discuss local innovations, current challenges, and create actionable recommendations for inclusive digital mental health services for youth in Canada.
- - The workshop identified eleven key challenges, including issues related to cultural sensitivity and accessibility, emphasizing the need for a more equitable approach to digital mental health interventions.
Background: Self-guided Internet-based cognitive behavior therapy (iCBT) for migraine interventions could improve access to care, but there is poor evidence of their efficacy.
Methods: A three-arm randomized controlled trial compared: iCBT focused on psychoeducation, self-monitoring and skills training (SPHERE), iCBT focused on identifying and managing personal headache triggers (PRISM) and a waitlist control. The primary treatment outcome was a ≥ 50% reduction in monthly headache days at 4 months post-randomization.