Jeffrey Bishop

A Machine Learning Approach to Predict Cognitive Decline in Alzheimer Disease Clinical Trials

Bhargav Teja Nallapu, Kellen K. Petersen, Tianchen Qian, İdris Demirsoy et autres

BACKGROUND AND OBJECTIVES: Among the participants of Alzheimer disease (AD) treatment trials, 40% do not show cognitive decline over 80 weeks of follow-up. Identifying and excluding these individuals can increase power to detect treatment effects. We aimed to develop machine learning-based predictive …

us, tr (code pays fourni par la source)

Deep learning to quantify the pace of brain aging in relation to neurocognitive changes

Chenzhong Yin, Phoebe E. Imms, Nahian F. Chowdhury, Nikhil N. Chaudhari et autres

Brain age (BA), distinct from chronological age (CA), can be estimated from MRIs to evaluate neuroanatomic aging in cognitively normal (CN) individuals. BA, however, is a cross-sectional measure that summarizes cumulative neuroanatomic aging since birth. Thus, it conveys poorly recent or contemporaneous …

us (code pays fourni par la source)

Learning-based inference of longitudinal image changes: Applications in embryo development, wound healing, and aging brain

Heejong Kim, Batuhan K. Karaman, Qingyu Zhao, Alan Q. Wang et autres

Longitudinal imaging data are routinely acquired for health studies and patient monitoring. A central goal in longitudinal studies is tracking relevant change over time. Traditional methods remove nuisance variation with custom pipelines to focus on significant changes. In this work, we present …

us, ca, jp (code pays fourni par la source)

Enhancing cognitive performance prediction by white matter hyperintensity connectivity assessment

Marvin Petersen, Mirthe Coenen, Charles DeCarli, Alberto De Luca et autres

White matter hyperintensities of presumed vascular origin (WMH) are associated with cognitive impairment and are a key imaging marker in evaluating brain health. However, WMH volume alone does not fully account for the extent of cognitive deficits and the mechanisms linking WMH …

de, nl, us, at, ch, sg, ca (code pays fourni par la source)

Cerebello-Parietal Functional Connectivity in Amnestic Mild Cognitive Impairment

Chi-Ying Roy Lin, Shayla S. Yonce, Nat J. Pacini, Melissa M. Yu et autres

The role of the cerebellum in amnestic mild cognitive impairment (aMCI), typically a prodromal stage of Alzheimer's disease, is not fully understood. We studied the lobule-specific cerebello-cerebral connectivity in 15 cognitively normal and 16 aMCI using resting-state functional MRI. Our analysis revealed …

us (code pays fourni par la source)

Towards cascading genetic risk in Alzheimer’s disease

André Altmann, Leon Aksman, Neil P. Oxtoby, Alexandra L. Young et autres

Alzheimer's disease typically progresses in stages, which have been defined by the presence of disease-specific biomarkers: amyloid (A), tau (T) and neurodegeneration (N). This progression of biomarkers has been condensed into the ATN framework, in which each of the biomarkers can be …

gb, us (code pays fourni par la source)

Cerebello-parietal Functional Connectivity in Amnestic Mild Cognitive Impairment Due to Alzheimer’s Disease (P7-9.006)

Chi-Ying Roy Lin, Shayla S. Yonce, Nat J. Pacini, Melissa M. Yu et autres

To characterize the cerebello-cerebral functional connectivity (FC) in amnestic mild cognitive impairment (aMCI).

us (code pays fourni par la source)

Cognitive Function Remains Associated With Functional Impairment in Profound Dementia

Ihika Rampalli, Valory Pavlik, Melissa M. Yu, Jeffrey Bishop et autres

Background and Objectives: The Baylor Profound Mental Status Examination (BPMSE) was developed to assess cognitive function in the profound stage of dementia. The Clinical Dementia Rating (CDR) scale has been widely used in measuring functional performance in dementia. We aimed to determine …

us (code pays fourni par la source)

Cognitive Function Remains Associated with Global Functional Impairment in Profound Dementia due to Alzheimer’s Disease and Dementia with Lewy Bodies (P6-6.011)

Ihika Rampalli, Valory Pavlik, Melissa M. Yu, Jeffrey Bishop et autres

To determine if cognitive function is still related to overall functional impairment in profound dementia.

us (code pays fourni par la source)

[P2–322]: PREDICTORS OF ATYPICAL ANTIPSYCHOTIC TREATMENT IN AN AD CLINICAL POPULATION

Valory Pavlik, Jeffrey Bishop, Caryn Glosch, Melissa M. Yu et autres

Use of atypical antipsychotics (AAs) to control behavioral and psychiatric symptoms of dementia (BPSD) is controversial. We sought to understand the prevalence of BPSD and indications for AA use in an AD population treated at an academic memory disorders center. Clinical information …

us (code pays fourni par la source)

When the Rehearsals Stop: The Reality of Music Making After High School Orchestra

Jeffrey Bishop