Connectome Characterization With Aging
AGE-CONNECT
1 other identifier
interventional
10
1 country
1
Brief Summary
The main aim of this project is to develop a new model to characterize brain connectivity and its changes with aging. This characterization will be based on new sensitive and specific markers, allowing a better understanding of structural and functional brain networks. To this end, two complementary MRI methods will be developed: 1) Resting-state functional MRI (rs-fMRI) which allows the measurement of cerebral activity in different cortical gray matter regions, and 2) high angular resolution diffusion imaging (HARDI) MRI, which allows to characterize brain tissue microarchitecture. HARDI sequences will be developed to acquire and reconstruct fiber tractography of patient's brains. In combination with conventional MRI, both HARDI and rs-fMRI will be used to estimate the connection degree between each pair of cortical regions, so- called "Connectome". Once generated, brain networks will be quantified through numerous graph metrics, such as graph density, global efficiency and assortativity (etc.), reflecting the organization and topology of subjects' connectivity with aging.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at below P25 for not_applicable healthy
Started Jan 2016
Longer than P75 for not_applicable healthy
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
Study Start
First participant enrolled
January 22, 2016
CompletedFirst Submitted
Initial submission to the registry
March 1, 2017
CompletedFirst Posted
Study publicly available on registry
April 12, 2017
CompletedPrimary Completion
Last participant's last visit for primary outcome
February 14, 2020
CompletedStudy Completion
Last participant's last visit for all outcomes
February 14, 2020
CompletedOctober 2, 2025
September 1, 2025
4.1 years
March 1, 2017
September 29, 2025
Conditions
Outcome Measures
Primary Outcomes (5)
Functional and structural connectivity MRI marker : resting-state fMRI
Functional connectivity of grey matter (GM) using resting-state fMRI
End of study (one year)
Functional and structural connectivity MRI marker : Functional connectivity
Graph-theory methods analysis of functional connectivity of grey matter
End of study (one year)
Functional and structural connectivity MRI marker : Diffusion tensor
Structural connectivity of white matter (WM) fiber bundles measured by diffusion tensor imaging
End of study (one year)
Functional and structural connectivity MRI marker : Structural connectivity
Graph-theory methods analysis of Structural connectivity of white matter (WM) fiber
End of study (one year)
Functional and structural connectivity MRI marker : SPM software
Cortical and subcortical grey matter (GM) volumes using the SPM software
End of study (one year)
Secondary Outcomes (1)
Metrics of functional connectivity
End of study (one year)
Study Arms (2)
Single MRI examination
ACTIVE COMPARATOR40 subjects will benefit from a full MRI
Reproducibility study
SHAM COMPARATOR10 subjects will benefit from the realization of 3 MRI. An MRI examination performed at the time of inclusion and then an examination, at 3 months and at 9 months (ie 3 examinations per subject).
Interventions
MRI examination will comprise conventional T1 and FLAIR sequences, and advanced sequences such as rs-fMRI and High angular resolution MRI (HARDI).
Eligibility Criteria
You may qualify if:
- Volunteers (Men and women) aged between 18 and 50 years
- No neurological or psychiatric diseases
You may not qualify if:
- MRI contraindications
- Pregnant women or nursing women
- Persons under guardianship or any other administrative or deprivation of liberty or of right
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
CH le Vinatier
Bron, 69500, France
Related Publications (1)
Nusbaum F, Hannoun S, Barile B, Suprano I, Mouchet S, Sappey-Marinier D. Personal Income Performance Correlates with Brain Structural Network Modularity but Not Intelligence Quotient. Brain Connect. 2024 Jun;14(5):284-293. doi: 10.1089/brain.2023.0077. Epub 2024 Jun 7.
PMID: 38848246BACKGROUND
Study Officials
- PRINCIPAL INVESTIGATOR
Sabine Mouchet-Mages, MD
CH le Vinatier
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- NON RANDOMIZED
- Masking
- NONE
- Purpose
- BASIC SCIENCE
- Intervention Model
- PARALLEL
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
March 1, 2017
First Posted
April 12, 2017
Study Start
January 22, 2016
Primary Completion
February 14, 2020
Study Completion
February 14, 2020
Last Updated
October 2, 2025
Record last verified: 2025-09
Data Sharing
- IPD Sharing
- Will not share