Noninvasive Study of Brain Connectivity With EEG and NIRS
NCT ID: NCT01493804
Last Updated: 2017-09-06
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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COMPLETED
5 participants
OBSERVATIONAL
2011-11-08
2017-09-01
Brief Summary
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\- Different regions of the brain are activated when a person performs a task. Electroencephalograms (EEGs) and near-infrared spectroscopy (NIRS) are tests that detect changes in the brain. EEG looks at changes in electrical signals, and NIRS looks at changes in blood flow. These tests can detect local changes in brain activity in a safe and noninvasive way. Researchers want to study brain activity more closely by combining these tests.
Objectives:
\- To use EEG and NIRS to study brain activity during specific tasks.
Eligibility:
\- Healthy volunteers at least 18 years of age.
Design:
* Participants will be screened with a physical exam and medical history.
* Participants will have between one and five testing sessions. Each session will be 1 to 2 hours long. The tests given at each session will be determined by the researchers.
* Participants will have EEG and NIRS tests, given either separately or together. During these tests, participants will perform tasks of thinking and reasoning.
* Participants may also complete optional tests of thinking and reasoning. These tests will be given on paper or on a computer.
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Detailed Description
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Study population: 40 healthy volunteers
Design: The study will aim to capture the dynamics of brain interactions on two different scales by combing EEG (neuronal) and NIRS (hemodynamic) techniques. We will then correlate the two responses to study the brain connectivity in a more comprehensive way.
Outcome Measures: graded changes in blood flow and blood oxygenation, measured with NIRS, along with electrical signals recorded by EEG in response to different functional tasks.
Note: This study is sponsored by the Center for Neuroscience and Regenerative Medicine (CNRM). De-identified data including imaging data sent to CNRM may be shared with outside investigators or collaborators. This data may be used for a variety of research purposes. The Henry M. Jackson Foundation for the Advancement for Military Medicine (HJF), USUHS, or DOD representatives may also access data for audit purposes.
Conditions
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Study Design
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PROSPECTIVE
Eligibility Criteria
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Inclusion Criteria
Exclusion Criteria
* Past or present hematologic abnormality of Hgb \< 9.0 gm/dl.
* Healthy volunteers with any past or present vascular disease.
* Have a history of substance abuse, psychiatric, or neurological disorders
* Any medical condition that, in the opinion of the Principal Investigator, would preclude the inclusion of a patient onto this research study.
* Unable or unwilling to give informed consent.
18 Years
ALL
No
Sponsors
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Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD)
NIH
Responsible Party
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Principal Investigators
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Amir Gandjbakhche, Ph.D.
Role: PRINCIPAL_INVESTIGATOR
Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD)
Locations
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National Institutes of Health Clinical Center, 9000 Rockville Pike
Bethesda, Maryland, United States
Countries
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References
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Akgul CB, Akin A, Sankur B. Extraction of cognitive activity-related waveforms from functional near-infrared spectroscopy signals. Med Biol Eng Comput. 2006 Nov;44(11):945-58. doi: 10.1007/s11517-006-0116-3. Epub 2006 Oct 24.
Aydore S, Mihcak MK, Ciftci K, Akin A. On temporal connectivity of PFC via Gauss-Markov modeling of fNIRS signals. IEEE Trans Biomed Eng. 2010 Mar;57(3):761-8. doi: 10.1109/TBME.2009.2020792. Epub 2009 Apr 28.
Badre D, Wagner AD. Selection, integration, and conflict monitoring; assessing the nature and generality of prefrontal cognitive control mechanisms. Neuron. 2004 Feb 5;41(3):473-87. doi: 10.1016/s0896-6273(03)00851-1.
Other Identifiers
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12-CH-0011
Identifier Type: -
Identifier Source: secondary_id
120011
Identifier Type: -
Identifier Source: org_study_id
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