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Neuroimaging for Depression

2014-08-27 03:23:31 | BioPortfolio

Summary

The investigators seek to determine whether brain imaging techniques can be used to help detect depression, assess its severity, and/or monitor or predict responses to treatment. Subjects with minor or major depression will be randomly assigned to a wait-list control group or to treatment with a new computer-based cognitive behavior therapy developed by Dr. James Cartriene. Brain imaging will be performed before and during treatment using both magnetic resonance imaging (MRI) and near-infrared spectroscopy (NIRS). The investigators hypothesize that brain activity, particularly in the lateral frontal areas of the brain, will provide biomarkers for depression, depression severity, and treatment response.

Description

Depression can significantly disrupt one's ability to function effectively and efficiently, and the associated performance deficits can seriously jeopardize space mission success. The incidence of serious depression in Earth based analogues of the spaceflight environment has been reported as up to 13% per person per year. Extrapolating from existing reports of depressive episodes during short-duration spaceflight, depression is thus a probable condition in one or more members of a five to seven person crew during a long duration spaceflight (e.g., a 30 month mission to Mars). Mission success can be jeopardized by depression either directly, from the potentially life threatening consequences of lapses in performance, or indirectly, by adding to the workload and stress of other crewmembers. The likelihood and potentially serious consequences of depression during spaceflight explains why the risk of human performance failure due to mood alterations such as depression, anxiety, or other psychiatric and cognitive problems is a Priority 1 risk for all mission types (International Space Station, Moon, Mars). Certain countermeasures are already in place: medications and psychological consultations with ground-crews. However, current in-flight methods to decide whether a countermeasure should be used rely heavily on subjective self-reports. The biological basis of mood disorders suggests neural biomarkers may provide a more objective method for assessing depression. Aim 1 of this proposal, therefore, seeks to identify neural biomarkers sensitive to, and specific for, depression. These measures will be used in evaluating and validating a flight-capable, noninvasive neuroimaging technology (near-infrared spectroscopy and imaging, or NIRS imaging) for its ability to detect biomarkers of depression and its severity. As an initial step towards developing novel select-out criteria, Aim 2 will then evaluate which neural biomarkers appear most promising in detecting an endophenotype that identifies individuals at heightened risk for treatment resistance. Finally, when depression is objectively identified, an appropriate countermeasure needs to be selected. Aim 3 will focus on the ability of brain imaging to help predict the efficacy of Dr. Cartriene's computer based problem solving therapy.

Study Design

Allocation: Randomized, Intervention Model: Parallel Assignment, Masking: Single Blind (Outcomes Assessor), Primary Purpose: Diagnostic

Conditions

Depression

Intervention

Computer-based problem solving therapy

Location

Massachusetts General Hospital
Charlestown
Massachusetts
United States
02129

Status

Not yet recruiting

Source

Massachusetts General Hospital

Results (where available)

View Results

Links

Published on BioPortfolio: 2014-08-27T03:23:31-0400

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PubMed Articles [25758 Associated PubMed Articles listed on BioPortfolio]

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Medical and Biotech [MESH] Definitions

Instructional use of examples or cases to teach using problem-solving skills and critical thinking.

Trial-and-error methods of problem-solving used when an algorithmic approach is impractical

Application of computer programs designed to assist the physician in solving a diagnostic problem.

Experience-based techniques for problem-solving, learning, and discovery that find a solution which is not guaranteed to be optimal, but sufficient for a given set of goals.

Computer programs based on knowledge developed from consultation with experts on a problem, and the processing and/or formalizing of this knowledge using these programs in such a manner that the problems may be solved.

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