Background: Most research points to the ɛ4 allele of the apolipoprotein E (APOE) gene as the most recognizable genetic risk factor associated with Alzheimer's disease pathogenesis. It has been also suggested that the APOEɛ4 allele has a negative influence on cognitive functioning, which begins long before cognitive impairment becomes manifest. However, still, little is known about the APOEɛ4 interaction with cognitive intervention programs.
Objective: The main goal of this study was to explore whether there was a differential APOE genotype modulation effect after cognitive training in different domains, such as language comprehension, executive functions, and memory. Contrary to other studies, hippocampal volume was controlled for.
Methods: Fifty older adults (65+ years; 30 women and 20 men) participated in a multi-domain cognitive training that involved 30 sessions taking place over 12 weeks. Half of the participants were APOEɛ4 carriers. The control group was matched in age, gender, normalized hippocampal volume, cognitive reserve, Mini-Mental State Examination score, and Geriatric Depression Scale-Short Version.
Results: The study revealed that there were consistent treatment benefits in complex sentence comprehension (noncanonical sentences and sentences with two propositions), a domain that was not directly trained, but only in the A POEɛ4 noncarrier group.
Conclusion: Genetic profile modulates training outcomes in sentence comprehension.
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http://dx.doi.org/10.3233/JAD-161014 | DOI Listing |
J Med Internet Res
January 2025
Cancer Rehabilitation and Survivorship, Department of Supportive Care, Princess Margaret Cancer Centre, Toronto, ON, Canada.
Background: Virtual follow-up (VFU) has the potential to enhance cancer survivorship care. However, a greater understanding is needed of how VFU can be optimized.
Objective: This study aims to examine how, for whom, and in what contexts VFU works for cancer survivorship care.
J Neurosurg Spine
January 2025
1Department of Neurosurgery, Barrow Neurological Institute, St. Joseph's Hospital and Medical Center, Phoenix, Arizona; and.
Objective: Mixed-reality (MR) applications provide opportunities for technical rehearsal, education, and estimation of surgical performance without the risk of patient harm. In this study, the authors provide a structured literature review on the current state of MR applications and their effects on neurosurgery training. They also introduce an MR prototype for neurosurgical spine training.
View Article and Find Full Text PDFJCO Clin Cancer Inform
January 2025
Emory University School of Medicine, Atlanta, GA.
Purpose: Immune checkpoint inhibitors (ICIs) have demonstrated promise in the treatment of various cancers. Single-drug ICI therapy (immuno-oncology [IO] monotherapy) that targets PD-L1 is the standard of care in patients with advanced non-small cell lung cancer (NSCLC) with PD-L1 expression ≥50%. We sought to find out if a machine learning (ML) algorithm can perform better as a predictive biomarker than PD-L1 alone.
View Article and Find Full Text PDFJ Head Trauma Rehabil
January 2025
Author Affiliations: Department of Rehabilitation Medicine, University of Washington, Seattle, Washington (Drs Bale and Hoffman); and Craig Hospital Research Department, Englewood, Colorado (Mr Sevigny).
Objective: To determine whether there are differences in healthcare utilization for chronic pain based on location (rural vs urban/suburban) or healthcare system (civilians vs Military Service Members and Veterans [SMVs]) after moderate-severe TBI.
Setting: Eighteen Traumatic Brain Injury Model Systems (TBIMS) Centers.
Participants: A total of 1,741 TBIMS participants 1 to 30 years post-injury reporting chronic pain at their most recent follow-up interview.
Purpose: This study investigates mental health-related content to delineate potentially deficient topics for improvement in future obstetrics and gynecology (OBGYN) resident educational curriculum initiatives.
Method: In this quantitative content analysis, educational resources commonly used by OBGYN residents were selected based on a 2020 multi-institutional survey of OBGYN residents and informal group discussion with 32 OBGYN residents from a New York academic institution in April 2020. After independent screening, the authors iteratively developed, tested, and implemented a coding scheme for relevant keywords.
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