- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT03109275
Connectome Characterization With Aging (AGE-CONNECT)
April 13, 2022 updated by: Hospices Civils de Lyon
Connectome Characterization With Aging Using Functional and Structural MRI
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.
Study Overview
Status
Completed
Conditions
Intervention / Treatment
Study Type
Interventional
Enrollment (Actual)
10
Phase
- Not Applicable
Contacts and Locations
This section provides the contact details for those conducting the study, and information on where this study is being conducted.
Study Locations
-
-
-
Bron, France, 69500
- CH Le Vinatier
-
-
Participation Criteria
Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.
Eligibility Criteria
Ages Eligible for Study
18 years to 50 years (ADULT)
Accepts Healthy Volunteers
Yes
Genders Eligible for Study
All
Description
Inclusion Criteria:
- Volunteers (Men and women) aged between 18 and 50 years
- No neurological or psychiatric diseases
Exclusion Criteria:
- MRI contraindications
- Pregnant women or nursing women
- Persons under guardianship or any other administrative or deprivation of liberty or of right
Study Plan
This section provides details of the study plan, including how the study is designed and what the study is measuring.
How is the study designed?
Design Details
- Primary Purpose: BASIC_SCIENCE
- Allocation: NON_RANDOMIZED
- Interventional Model: PARALLEL
- Masking: NONE
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
---|---|
ACTIVE_COMPARATOR: Single MRI examination
40 subjects will benefit from a full MRI
|
MRI examination will comprise conventional T1 and FLAIR sequences, and advanced sequences such as rs-fMRI and High angular resolution MRI (HARDI).
|
SHAM_COMPARATOR: Reproducibility study
10 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).
|
MRI examination will comprise conventional T1 and FLAIR sequences, and advanced sequences such as rs-fMRI and High angular resolution MRI (HARDI).
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Functional and structural connectivity MRI marker : resting-state fMRI
Time Frame: End of study (one year)
|
Functional connectivity of grey matter (GM) using resting-state fMRI
|
End of study (one year)
|
Functional and structural connectivity MRI marker : Functional connectivity
Time Frame: End of study (one year)
|
Graph-theory methods analysis of functional connectivity of grey matter
|
End of study (one year)
|
Functional and structural connectivity MRI marker : Diffusion tensor
Time Frame: End of study (one year)
|
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
Time Frame: End of study (one year)
|
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
Time Frame: End of study (one year)
|
Cortical and subcortical grey matter (GM) volumes using the SPM software
|
End of study (one year)
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Metrics of functional connectivity
Time Frame: End of study (one year)
|
Calculation of functional connectivity metrics using graphs theory methods
|
End of study (one year)
|
Collaborators and Investigators
This is where you will find people and organizations involved with this study.
Sponsor
Investigators
- Principal Investigator: Sabine Mouchet-Mages, MD, CH Le Vinatier
Study record dates
These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.
Study Major Dates
Study Start (ACTUAL)
January 22, 2016
Primary Completion (ACTUAL)
February 14, 2020
Study Completion (ACTUAL)
February 14, 2020
Study Registration Dates
First Submitted
March 1, 2017
First Submitted That Met QC Criteria
April 5, 2017
First Posted (ACTUAL)
April 12, 2017
Study Record Updates
Last Update Posted (ACTUAL)
April 14, 2022
Last Update Submitted That Met QC Criteria
April 13, 2022
Last Verified
April 1, 2022
More Information
Terms related to this study
Other Study ID Numbers
- 69HCL16_0687
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
No
Studies a U.S. FDA-regulated device product
No
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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