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Organization of the Cingulate Cortex

Structure-function Relationships Within the Cingulate Cortex

Status
Completed
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT03119870
Acronym
EEG-Feedback
Enrollment
31
Registered
2017-04-19
Start date
2013-01-09
Completion date
2017-07-04
Last updated
2017-07-11

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Healthy

Keywords

fMRI, EEG, behavior, cingulate cortex

Brief summary

Efficient evaluation and monitoring of actions and outcomes are a key feature of primates' efficient adaptive cognition. Deficits in evaluating one's own actions and their consequences is a key feature of prominent disorders such as obsessive compulsive disorders (OCD), schizophrenia, and anxiety. The Investigators know that these evaluative processes implicate medial structures of the brain that are related both to old limbic functions and to more recently evolved higher executive functions. Brain potentials related to performance monitoring have attracted a lot of interest in cognitive neuroscience but also in the clinical domain because they appear to be altered in different neurological or psychiatric disorders, such as schizophrenia, OCD, or anxiety, and could become biomarkers of pathologies. But the neural sources of these markers are not fully determined and are currently highly debated. In addition, our work suggests that non pathological factors, such as normal morphological cortical variations, could affect those markers. Understanding performance monitoring, acting directly on medial cortex, or using electrophysiological markers in clinic are thus currently problematic and challenging. This is mostly because structure-function relationships in the medial wall are ill defined for historical, conceptual, and methodological reasons. Importantly, although individual variability of brain morphology impedes precise assessment of structure function relationships, this variability is almost never taken into account. EEG-Feedback aims to resolve these issues by evaluating the consequences of individual variability in cingulate cortex morphology on 1) surface EEG markers of feedback monitoring and 2) functional connectivity patterns thanks to resting-state fMRI.

Interventions

OTHERTrain

Each subject will be trained to perform a trial-error learning task. In this task, three visual stimuli will be presented to the subject. The subject will have to find by trial-error, the one associated with positive feedback, the other stimuli being associated with negative feedback (search period). Once the stimulus is associated with positive feedback, the subject will perform a period of repetition during which he will choose the stimulus associated with positive feedback. Two variants of the task will be used: a variant in which feedback will be visual (ie positive feedback = green square, negative feedback = red square) and a variant in which feedback will be fruit juice (ie positive feedback = Fruit juice (but less than 2ml), negative feedback = no volume or small volume of fruit juice).

OTHERMRI

Once the tasks are learned, each subject will participate in an MRI session during which an anatomical scan will be obtained. For each task, the time of presentation of the stimuli will be 2s. During this time, the subject should indicate his choice of stimulus. After a delay of 2s, feedback will be presented for 1s. Each test shall be separated by an inter-test delay of 3s. The presentation of the stimuli and the control of the answers will be managed by the E-prime or Presentation software.

OTHEREEG

Once the tasks are learned, each subject will participate in an MRI session during which an anatomical scan will be obtained and then an EEG session during which he will perform the task learned.For each task, the time of presentation of the stimuli will be 2s. During this time, the subject should indicate his choice of stimulus. After a delay of 2s, feedback will be presented for 1s. Each test shall be separated by an inter-test delay of 3s. The presentation of the stimuli and the control of the answers will be managed by the E-prime or Presentation software.

Sponsors

Hospices Civils de Lyon
Lead SponsorOTHER

Study design

Allocation
NA
Intervention model
SINGLE_GROUP
Primary purpose
BASIC_SCIENCE
Masking
NONE

Eligibility

Sex/Gender
ALL
Age
18 Years to 40 Years
Healthy volunteers
Yes

Inclusion criteria

* being able to provide a writen consent form * having a social insurance * have a normal vision (with or without corrections) * Right-handed

Exclusion criteria

* Subjects with MRI contraindications (e.g. pacemaker, claustrophobia, metal in the body, etc…). * Subjects must be willing to be advise in case of discovery of brain abnormality. * No history of known neurological or psychiatric illness * Pregnant or nursing women * Persons under guardianship, curatorship or any other administrative or judicial measure of deprivation of rights or liberty, as well as legal persons protected by law

Design outcomes

Primary

MeasureTime frameDescription
Resting state fMRI data3 yearsBOLD signal will be analyzed in the low frequency band (0.1-0.01Hz). Images must be not too much distorted to allow data analysis. As such, if a subject moved too much (translation\>10mm; rotation\>5°) the corresponding data will be excluded from the analysis.
EEG data3 yearsIf recordings are too noisy (if only \<30% of trials survive the denoising process), subject will be excluded from final analysis.
Behavioral data in the EEG experiment3 yearsPerformance in the task will be assessed. If performance in the task is \<80%, subjects will be excluded in the final analysis.

Countries

France

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026