Clinical trial NCT02305771: Contributions From the Analysis of Graphs for Identification of Neural Cliques
Official title: Contributions From the Analysis of Graphs for Identification of Neural Cliques
Study type: INTERVENTIONAL
Overall status: COMPLETED
Phase: NA
Conditions: Epilepsy
Lead sponsor: Rennes University Hospital
Sponsor class: OTHER
First posted: 2014-12-03
Enrollment: 21
Sex: ALL
Minimum age (years): 18
Standard ages: ADULT
OLDER_ADULT
Accepts healthy volunteers: yes
Allocation: NA
Intervention model: SINGLE_GROUP
Primary purpose: OTHER

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.

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

Primary outcomes:
measure: Three main criteria are to be considered to validate the tool for measuring the similarity between the graphs obtained
timeFrame: 2 years
measure: Estimate the plausibility of the results obtained with our method directly from the graphs
timeFrame: 2 years
Secondary outcomes:
measure: Judgement of the quality of the measurement on simulated data in the laboratory test our method for measuring the similarity between the graphs
timeFrame: 2 years
Other outcomes:
Locations:
city: Rennes
country: France
facility: Rennes University Hospital
Study officials:
References:
citation: 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.