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Predicting future cognitive decline from non-brain and multimodal brain imaging data in healthy and pathological aging

Neurobiology of Aging(2022)10.1016/j.neurobiolaging.2022.06.008Source: DataRank Database

Predicting future cognitive decline from non-brain and multimodal brain imaging data in healthy and pathological aging is a research paper published in Neurobiology of Aging (2022). On theSindex it has a DataRank of 0. It has been cited 26 times.

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Open Access26 citations

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Enrichment:Funding (20 grants)Impact (FWCI 2.07)OA: hybridTopics (70)IDs (PubMed, PMC, OpenAlex)Annotations (1)SDGs (2)

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Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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Authors (13)

Franziskus Liem ORCID,Kamalaker Dadi ORCID,Denis A. Engemann ORCID,Alexandre Gramfort ORCID,Pierre Bellec ORCID

Live enrichment

PubMed:35878565 PMC:PMC9853405 OpenAlex:https://openalex.org/W4283660257

Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung

Grant: 10001C_197480

Agence nationale de la recherche

Grant: ANR-20-IADJ-0002 AI-cog

National Institutes of Health

Grant: P01AG003991

National Institutes of Health

Grant: P01AG026276

National Institutes of Health

Grant: P30NS09857781

National Institutes of Health

Grant: P50AG00561

National Institutes of Health

Grant: R01AG043434

National Institutes of Health

Grant: R01EB009352

National Institutes of Health

Grant: UL1TR000448

Swiss National Science Foundation

Grant: 197480

Predicting future cognitive decline from non-brain risk factors and multimodal brain imaging data

NIA NIH HHS

Grant: P30 AG066444

NCATS NIH HHS

Grant: UL1 TR002345

NIA NIH HHS

Grant: P50 AG005681

French National Research Agency (ANR)

Grant: ANR-20-IADJ-0002

AI for Aging societies: From Basic Concepts to Practical Tools for AI-Facilitated Cognitive Training

National Institutes of Health

Grant: 5P01AG003991-38

Healthy Aging and Senile Dementia

National Institutes of Health

Grant: 4R01AG043434-05

DRIVING PERFORMANCE IN PRECLINICAL ALZHEIMER'S DISEASE

National Institutes of Health

Grant: 5P01AG026276-07

Antecedent Neuroimaging Biomarkers

National Institutes of Health

Grant: 4UL1TR000448-10

Washington University Institute of Clinical and Translational Sciences

National Institutes of Health

Grant: 5R01EB009352-03

THE XNAT IMAGING INFORMATICS PLATFORM

Universität Zürich

FWCI

2.07

Citation Percentile

0.9%

Citation Trend

2021

2022

2023

2024

2025

2026

hybridLicense: cc-by

journalhttps://doi.org/10.1016/j.neurobiolaging.2022.06.008

publisherhttps://doi.org/10.1016/j.neurobiolaging.2022.06.008

publisherhttps://api.elsevier.com/content/article/PII:S0197458022001403?httpAccept=text/xml

publisherhttps://api.elsevier.com/content/article/PII:S0197458022001403?httpAccept=text/plain

repositoryhttps://pubmed.ncbi.nlm.nih.gov/35878565

Fields of Study

Functional Brain Connectivity StudiesDementia and Cognitive Impairment ResearchNeurobiology of Language and Bilingualism0301 basic medicine03 medical and health sciences0302 clinical medicineActivities of Daily LivingAgedAged, 80 and overAgingBrainCognitive DysfunctionHumansMagnetic Resonance ImagingMiddle AgedNeuroimaging

MeSH Terms

Activities of Daily LivingAgedAged, 80 and overAgingBrainHumansMagnetic Resonance ImagingMiddle AgedNeuroimagingCognitive Dysfunction

Keywords

NeuroimagingCognitionCognitive declineNeuropsychologyPsychologyPathologicalCognitive agingBrain sizeEffects of sleep deprivation on cognitive performanceCognitive psychologyNeuroscienceMedicineDementiaMagnetic resonance imagingInternal medicinePredictive modelingBiomarkercross-validationMachine LearningOpen ScienceAging[INFO.INFO-IM] Computer Science [cs]/Medical Imaging2717 Geriatrics and GerontologyArticle1309 Developmental Biology1302 Aging[STAT.AP] Statistics [stat]/Applications [stat.AP]Biomarker; Machine learning; Predictive modeling; Cross-validation; Open scienceActivities of Daily LivingHumansCognitive DysfunctionAgedAged, 80 and over10093 Institute of PsychologyGeneral Neuroscience2800 General NeuroscienceBrainMiddle Aged[STAT.OT] Statistics [stat]/Other Statistics [stat.ML]2728 Neurology (clinical)Neurology (clinical)Geriatrics and Gerontology150 PsychologyDevelopmental Biology

Sustainable Development Goals

SDG 3: 3. Good healthSDG 0: Life in Land

Predicting future cognitive decline from non-brain and multimodal brain imaging data in healthy and pathological aging

FAIR Checklist

Authors (13)

Funding (20 grants)

Impact

Open Access

Topics

Annotations (Europe PMC)