Neurofeedback Training's Efficiency for Attentionnal Performances

Study Overview
=================
Brief Summary
-----------------
We hypothesize 1) that an electroencephalographic (EEG) based neurofeedback training may improve attentional performances of healthy subjects, and 2) inter-individual variability might be explained by factors such as body awarness, sleep parameters and genetics of individuals.

Detailed Description
-----------------
Many jobs require high attentional performances that are maintained over time, which imply safety issues. Just like physicial performances of top athletes, it is possible to use a set of innovative methods and technologies to improve cognitive performances (attention, working memory, decision making… ), in particular with the help of brain training programs such as neurofeedback protocoles. Although neurofeedback training efficiency has been evaluated in many context (either with patients or healthy subjects), it is still a subject of debate. More specifically, inter-individual variability is far from beeing understood. We hypothesize 1) that an electroencephalographic (EEG) based neurofeedback training may improve attentional performances of healthy subjects, and 2) inter-individual variability might be explained by factors such as body awarness, sleep parameters and genetics of individuals. To demonstrate the efficiency of EEG neurofeedback (EEG-NFB) trainings versus a control group, we will compare the conflict monitoring score obtained with the Attentional Network Task (Reaction Times (RT) in ms of Incongruent trials minus Reaction Times of Congruent trials : RTincongruent - Rtcongruent). Our hypothesis is a reduction of the conflict monitoring scores after the EEG-NFB compared to baseline (before EEG-NFB), and a lower score for the EEG-NFB group compared to the control group. To decipher the different factors influencing EEG-NFB training efficacy, we will explore the inter-individual variability by assessing the body awarness (especially cardiac interoceptive accuracy with a counting task), sleep parameters (hypnogram, sleep power spectral activities) and genetic polymorphisms (DRD2, COMT, DAT1, PER3, ADA, ADORA2A, TNF-α). The study design will be a controlled interventional protocol, double-blinded with parralel-arms (EEG-NFB vs Control) in healthy volunteers. Prior informations will be given to individuals expressing an interest in this study. During the inclusion visit, an investigator or a member of the research team will verbally reiterate the informations and answer any additional questions. The volunteer will be reminded of his/her rights in the contexte of research involving the human person. After verifying volunteer's eligibility criteria, he/she will be asked to sign the consent form. The rest of the visit will consist of filling out a health questionnaire. If any answer is positive, they will be received by a physician investigator who will carry out a medical examination. Volunteers will have to fill out a sleep questionnaire. At the end of the visit, biological samples for genotyping will be collected, and volunteers will be reminded that no DNA sample will be stored after genotyping. Sleep/wake cycles will be home monitored with a wearable headset during 14 days : 7 days before the start of EEG-NFB training, and 7 during the EEG-NFB training. Cognitive tests will be done each day of EEG-NFB training (or control) : Psychomotor Vigilance Task, Attentional Network Test, AX-Continuous Performance Test and a Heartbit Counting task. The cognitive test period will last 30 minutes. EEG-NFB training (or control) will be done for 5 consecutive days, each session lasts 35 min (10 blocs of 3 min, and short breaks of 30 s). Each session will be precedeed and followed by a resting-state recording. The control group will perform a SHAM EEG-NFB. Before the first session and after the last (5th) session, cortisol and α-amylase concentrations will be evaluated by saliva tests. Before the session and after the last session, questionnaires evaluating body awarness will be filled out by volunteers.

Official Title
-----------------
Evaluation of Neurofeedback Training's Efficiency for the Optimization of Attentionnal Performances

Conditions
-----------------
Attention-deficit

Intervention / Treatment
-----------------
* Other: Neurofeedback


Participation Criteria
=================
Eligibility Criteria
-----------------
Inclusion Criteria: healthy male or female volunteers aged between 18 yo and 50 yo. Exclusion Criteria: any pathological issues, previous traumatic brain and/or auditive injuries, volunteers having already experienced NFB trainings, high tobacco consumers, volunteers refusing genotyping.

Ages Eligible for Study
-----------------
Minimum Age: 18 Years
Maximum Age: 59 Years

Sexes Eligible for Study
-----------------
All

Accepts Healthy Volunteers
-----------------
Accepts Healthy Volunteers

Study Plan
=================
How is the study designed?
-----------------

Design Details

Primary Purpose: Prevention
Allocation: Randomized
Intervention Model: Parallel Assignment
Interventional Model Description: Randomized assigment, neurofeedback training versus control
Masking: Triple


Arms and Interventions

| Participant Group/Arm | Intervention/Treatment |
| --- | --- |
| Experimental: Neurofeedback<br>1 week of cerebral training with a neurofeedback strategy based on increased alpha EEG activity | Other: Neurofeedback<br>* Neurofeedback training<br>|
| Placebo Comparator: Placebo<br>1 week of cerebral training with a placebo strategy based on time increase of performance, without neurofeedback | Other: Neurofeedback<br>* Neurofeedback training<br>|

What is the study measuring?
-----------------
Primary Outcome Measures

| Outcome Measure | Measure Description | Time Frame |
| --- | --- | --- |
| Attentional performance | the Attentional Network Task (Reaction Times (RT) in ms of Incongruent trials minus Reaction Times of Congruent trials : RTincongruent - Rtcongruent). | One week | 

Secondary Outcome Measures

| Outcome Measure | Measure Description | Time Frame |
| --- | --- | --- |
| Sleep parameters | Total sleep duration in minutes | One week |