Discovering subtypes with imaging signatures in the Motoric Cognitive Risk Syndrome Consortium using weakly supervised clustering.
Bhargav Teja Nallapu, Ali Ezzati, Helena M Blumen, Kellen K Petersen, Richard B Lipton, Emmeline Ayers, V G Pradeep Kumar, Srikanth Velandai, Richard Beare, Olivier Beauchet and 6 more
Article in Alzheimer's & dementia (Amsterdam, Netherlands). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
2 · The registry
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Ali EzzatiDepartment of Neurology University of California, Irvine (UCI), Irvine Orange California USA.
Helena M BlumenDepartment of Neurology Stony Brook University Stony Brook New York USA.
Kellen K PetersenDepartment of Neurology Washington University in St. Louis St. Louis Missouri USA.
Richard B LiptonDepartment of Neurology Albert Einstein College of Medicine Bronx New York USA.
Emmeline AyersDepartment of Neurology Albert Einstein College of Medicine Bronx New York USA.
V G Pradeep KumarDepartment of Neurology Baby Memorial Hospital Kozhikode Kerala India.
Srikanth VelandaiNational Centre for Healthy Ageing Frankston Victoria Australia.
Richard BeareNational Centre for Healthy Ageing Frankston Victoria Australia.
Olivier BeauchetCentre de Recherche de l'Institut Universitaire de Gériatrie de Montréal (CRIUGM) Montréal Quebec Canada.
Takehiko DoiDepartment of Preventive Gerontology Center for Gerontology and Social Science Research Institute, National Centre for Geriatrics and Gerontology Obu City Aichi Prefecture Japan.
Hiroyuki ShimadaDepartment of Preventive Gerontology Center for Gerontology and Social Science Research Institute, National Centre for Geriatrics and Gerontology Obu City Aichi Prefecture Japan.
Michele CallisayaMenzies Institute for Medical Research University of Tasmania Hobart Tasmania Australia.
Sofiya MilmanDepartments of Medicine Albert Einstein College of Medicine Bronx New York USA.
Sandra AleksicDepartments of Medicine Albert Einstein College of Medicine Bronx New York USA.
Joe VergheseDepartment of Neurology Albert Einstein College of Medicine Bronx New York USA.
Funding
Vascular Structure and Function in Cognitive AgingP01AG003949 · NIA · YESHIVA UNIVERSITY · PI Richard B. LIPTON · 1985 to 2026
$73.9M
Validation of the Remote Cognitive Aging and Alzheimer’s Disease REsearch (R-CARE) Toolbox for Diverse PopulationsR01AG080635 · NIA · ALBERT EINSTEIN COLLEGE OF MEDICINE · PI Ali Ezzati, Richard B. LIPTON · 2023 to 2026
$8.6M
The biological underpinnings of Motoric Cognitive Risk syndrome: a multi-center studyR01AG057548 · NIA · ALBERT EINSTEIN COLLEGE OF MEDICINE · PI VERGHESE, JOE · 2020 to 2024
$8.0M
Kerala-Einstein Study: Healthy lifestyle, vascular disease, and cognitive declineR01AG039330 · NIA · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI MATHURANATH, PAVAGADA S, VERGHESE, JOE · 2011 to 2023
$5.0M
Trajectories and modifiable risk factors of brain, gait, and cognitive decline in aging and pre-dementiaR01AG062659 · NIA · ALBERT EINSTEIN COLLEGE OF MEDICINE · PI BLUMEN, HELENA M, MILMAN, SOFIYA · 2020 to 2024
$3.8M
Identifying lifelong factors that impact brain health and outcomes in type 1 diabetes: The Cognition and Longitudinal Assessments of Risk Factors over 30 Years (CLARiFY) Diabetes Complications StudyR01DK129320 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI FELDMAN, EVA LUCILLE · 2021 to 2025
$2.3M
The biological underpinnings of Motoric Cognitive Risk syndrome: a multi-center studyR56AG057548 · NIA · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI VERGHESE, JOE · 2017 to 2017
$1.2M
Predictive analytics for cognitive decline and Alzheimer’s diseaseK23AG063993 · NIA · UNIVERSITY OF CALIFORNIA-IRVINE · PI EZZATI, ALI · 2020 to 2024
$984k
The Role of Hypothalamic Dysfunction in Accelerating Aging in HumansK76AG083274 · NIA · ALBERT EINSTEIN COLLEGE OF MEDICINE · PI Sandra Aleksic · 2023 to 2026
introductionUnderstanding the heterogeneity of brain structure in individuals with the Motoric Cognitive Risk Syndrome (MCR) may improve the current risk assessments of dementia.
methodsWe used data from six cohorts from the
resultsThree subgroups (Groups A, B, and C) were identified through MRI-based clustering with significant differences in regional brain volumes, gait speeds, and performance on Trail Making (Part-B) and Free and Cued Selective Reminding Tests. DISCUSSION: Based on structural MRI, our results reflect heterogeneity in the population with moderate and slow gait, including those with MCR. Such a data-driven approach could help pave new pathways toward dementia at-risk stratification and have implications for precision health for patients. Highlights: Different patterns of brain atrophy were observed among the people with moderate and slow gait speedsSlower gait speeds were associated with substantial cortical atrophy, higher rates of Motoric Cognitive Risk Syndrome (MCR), and worse cognitive performanceThis approach can aid patient stratification at early asymptomatic stages and have implications for precision health.
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.
Discovering subtypes with imaging signatures in the Motoric Cognitive Risk Syndrome Consortium using weakly supervised clustering. · full record | OpenQuestion