Cognitive reserve (CR) shows protective effects in Alzheimer's disease (AD) and reduces the risk of dementia. Despite the clinical significance of CR, a clinically useful diagnostic biomarker of brain changes underlying CR in AD is not available yet. Our aim was to develop a fully-automated approach applied to fMRI to produce a biomarker associated with CR in subjects at increased risk of AD. We computed resting-state global functional connectivity (GFC), i.e. the average connectivity strength, for each voxel within the cognitive control network, which may sustain CR due to its central role in higher cognitive function. In a training sample including 43 mild cognitive impairment (MCI) subjects and 24 healthy controls (HC), we found that MCI subjects with high CR (> median of years of education, CR+) showed increased frequency of high GFC values compared to MCI-CR- and HC. A summary index capturing such a surplus frequency of high GFC was computed (called GFC reserve (GFC-R) index). GFC-R discriminated MCI-CR+ vs. MCI-CR-, with the area under the ROC = 0.84. Cross-validation in an independently recruited test sample of 23 MCI subjects showed that higher levels of the GFC-R index predicted higher years of education and an alternative questionnaire-based proxy of CR, controlled for memory performance, gray matter of the cognitive control network, white matter hyperintensities, age, and gender. In conclusion, the GFC-R index that captures GFC changes within the cognitive control network provides a biomarker candidate of functional brain changes of CR in patients at increased risk of AD.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1007/s11682-016-9599-1 | DOI Listing |
Elife
January 2025
Department of Neurology, University of Iowa, Iowa City, United States.
The role of striatal pathways in cognitive processing is unclear. We studied dorsomedial striatal cognitive processing during interval timing, an elementary cognitive task that requires mice to estimate intervals of several seconds and involves working memory for temporal rules as well as attention to the passage of time. We harnessed optogenetic tagging to record from striatal D2-dopamine receptor-expressing medium spiny neurons (D2-MSNs) in the indirect pathway and from D1-dopamine receptor-expressing MSNs (D1-MSNs) in the direct pathway.
View Article and Find Full Text PDFJ Educ Health Promot
November 2024
Department of Public Health Dentistry, ITS Centre for Dental Studies and Research, Murad Nagar, Ghaziabad - 201 206, Uttar Pradesh, India.
Tobacco use remains a global public health challenge, with numerous associated health risks. Behavioral modification strategies have played a pivotal role in helping individuals achieve and maintain tobacco cessation. This scoping review aims to compare different behavioral modifications for tobacco cessation counseling.
View Article and Find Full Text PDFJ Educ Health Promot
November 2024
Department of Educational Psychology, Faculty of Educational Sciences, The Hashemite University, Zarqa, Jordan.
Background: This study aimed to investigate the effectiveness of a training program based on cognitive emotion regulation strategies to reduce social anxiety and improve social self-efficacy among Hashemite University students.
Materials And Method: The study sample comprised 57 students randomly divided into two groups: The experimental group consisted of 28 students, and the control group consisted of 29 students. The experimental group was exposed to the training program consisting of 18 sessions, while the control group did not receive any experimental treatment.
Alzheimers Dement (Amst)
January 2025
Department of Neurology Massachusetts General Hospital, Harvard Medical School Boston Massachusetts USA.
Introduction: Timely detection and tracking of Alzheimer's disease (AD) -related cognitive decline has become a public health priority. We investigated whether the NIH Toolbox for Assessment of Neurological and Behavioral Function-Cognition Battery (NIHTB-CB) detects AD-related cognitive decline.
Methods: = 171 participants (age 76.
Introduction: Diagnostic performance of optical coherence tomography (OCT) to detect Alzheimer's disease (AD) and mild cognitive impairment (MCI) remains limited. We aimed to develop a deep-learning algorithm using OCT to detect AD and MCI.
Methods: We performed a cross-sectional study involving 228 Asian participants (173 cases/55 controls) for model development and testing on 68 Asian (52 cases/16 controls) and 85 White (39 cases/46 controls) participants.
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!