Contributions From the Analysis of Graphs for Identification of Neural Cliques

NCT ID: NCT02305771

Last Updated: 2023-05-24

Basic Information

• Recruitment Status: COMPLETED
• Clinical Phase: NA
• Total Enrollment: 21 participants
• Study Classification: INTERVENTIONAL
• Study Start Date: 2015-02-27
• Study Completion Date: 2015-11-20

Brief Summary

The aim of the study is to demonstrate that our semantic knowledge (elements of our long-term memory and the process we use them) respond to a graphic organisation and gather together following accurate patterns called cliques (neural networks).

Detailed Description

Electroencephalography (EEG) with very High spatial Resolution (HR) (EEG-HR, 256 electrodes) allows for a better understanding of the global and local activity of the cerebral neocortex.

In 2012, following publications by Claude Berrou and Vincent Gripon's Internet, introducing new principles of coding information based on graphical representations in connectionist networks, we approached this team to test biological plausibility of this theory in vivo with EEG.

The central concept is the mental information, defined as all elements of knowledge acquired by the long-term memory on which the reason can build to try to respond to new problems. According to this new theory, these elements of knowledge called qualia or features should be connected within cliques networks. However, we currently do not have graphs comparing methods to measure a good index of both spatial and topological similarity between graphs with high resolution electroencephalography.

For this new study, we propose to combine the strengths of several existing methods of graph comparison which, on top of this, will be especially adapted to the specific context of the analysis of the graphs in the cerebral cortex.

The skills used are diverse: information theory, mathematics, graph theory, computer science, neuropsychology, signal processing and neurology.

Conditions

Epilepsy

Study Design

• Allocation Method: NA
• Intervention Model: SINGLE_GROUP
• Primary Study Purpose: OTHER
• Blinding Strategy: NONE

Study Groups

Healthy volunteers

20 healthy volunteers will undergo an inclusion visit in order to check inclusion and non inclusion criteria.

Then will be performed:

• Electroencephalography
• MRI

Group Type: OTHER

Electroencephalography

Intervention Type: DEVICE

MRI

Intervention Type: DEVICE

Interventions

Electroencephalography

Intervention Type: DEVICE

MRI

Intervention Type: DEVICE

Eligibility Criteria

Inclusion Criteria

• 18 years and older
• Right-handed ;
• French native speaker
• Having given written informed consent

Exclusion Criteria

• Presence of any psychiatric, neuropsychological and developmental disorder
• Any uncorrected visual impairment
• Any trouble or delay in learning to read / speak french
• Fully bilingual or multilingual
• Medication, treatment and / or substances that may alter or modify brain functions
• Pregnancy, breast feeding
• Persons under major legal protection and/or deprived of liberty

MRI-related criterions

• Cardiac pacemaker or implanted defibrillator
• Iron-magnetic surgical clips
• Cochlear implant
• Intra-ocular or brain foreign bodies
• Less than 4 weeks-old stents, less than 6 weeks-old osteosynthesis materials
• Claustrophobia

• Minimum Eligible Age: 18 Years
• Eligible Sex: ALL
• Accepts Healthy Volunteers: Yes

Sponsors

Rennes University Hospital

OTHER

Sponsor Role: lead

Responsible Party

Responsibility Role: SPONSOR

Locations

Rennes University Hospital

Rennes, , France

Countries

France

References

Mheich A, Dufor O, Yassine S, Kabbara A, Biraben A, Wendling F, Hassan M. HD-EEG for tracking sub-second brain dynamics during cognitive tasks. Sci Data. 2021 Jan 27;8(1):32. doi: 10.1038/s41597-021-00821-1.

Reference Type: RESULT

PMID: 33504796 (View on PubMed)

Other Identifiers

35RC14_9849_BRAINGRAPH

Identifier Type: OTHER

Identifier Source: secondary_id

2014-A01461-46

Identifier Type: -

Identifier Source: org_study_id