Study Results
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Basic Information
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TERMINATED
NA
37 participants
INTERVENTIONAL
2011-12-14
2017-06-30
Brief Summary
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Hypothesis : the main objective of this work is to compare with the rest fMRI the Rest Functional Networks (RFN) in the unipolar depression and in the bipolar depression in order to identify specific biomarkers for each affection. The general hypothesis of this work is that intra- and inter RFN connectivity is different between bipolar patients and unipolar patients. Specifically the investigators assume that connectivity within the default mode network (including ventral mediofrontal cortex, subgenual cingulate cortex, inferior parietal cortex, posterior cingulate cortex) will be increased in unipolar patients compared to bipolar patients.
Detailed Description
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The investigators assume that connectivity within the DMR will be increased in unipolar patients compared to bipolar patients. Similarly the investigators assume, in agreement with the results of our studies using N-Back (Harvey et al, 2005) and studies in self reference process in the unipolar depression (Grimm et al, 2009; and Lemogne al, 2009) that the DMR and frontoparietal networks connectivity (intraparietal cortex and dorsolateral prefrontal cortex) will be unusually positive in unipolar patients compared to bipolar patients.
Methods:
Transversal, multicenter, comparative study evaluating unipolar and bipolar patients in depressive phase and controls group without psychiatric disorders. The study involves one single assessment with fMRI, which is used to characterize a mono or bipolar major MDE. The question is not to predict subsequent progression towards a unipolar or bipolar disorder.
Primary outcome :
Comparison of unipolar and bipolar depressed patients in depressive acute phase and control subjects with fMRI resting task and an itself reference task and a diffusion tensor sequence. Patients will be evaluated clinically by: the MADRS, the YMRS, the BDRS, the Mathys, the SCID.
Secondary outcome:
verifying the RFR functional integrity in bipolar depression or unipolar by comparing the brain activity patterns of depressed patients than the control group;
Experimental arm: patient with bipolar disorder type I or II and patient with unipolar disorder Control arm: subjects without psychiatric disorders assessed by the SCID Number of patients per arm : 40 Total number of patients : 123 Duration : inclusions 3 years. Duration of inclusion per patient : 16 days Number of participating centres : 4 Statistical analyses: fMRI data analysis strategy
The primary criterion is the variation of BOLD signal during resting state and during self-referential processing task in both groups of depressed patients compared to control group. Functional connectivity within and between DMN (default mode network), CEN (central executive network) and SN (salience network) will be tested using a multivariate approach, independent component analysis (ICA). This analysis simultaneously decomposes group fMRI data into modes describing variations across space, time per subject to identify independent functional spatial maps corresponding to coherent brain functional networks.
A between-group analysis of variance (ANOVA) will be performed to assess the difference of functional connectivity within and between DMN, CEN and SN comprising a between factor group (unipolar, bipolar, controls) for resting state data and data from the self-referential task.
Correlations:
Correlations will be explored between fMRI parameters (in default mode and central executive network) and clinical criteria (e.g scores in MATTIS, MADRSn, YMRS).
Conditions
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Keywords
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Study Design
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NON_RANDOMIZED
PARALLEL
HEALTH_SERVICES_RESEARCH
NONE
Study Groups
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Bipolar disorder type I or II
a single resting state fMR for patients with bipolar disorder type I or II with acute depressive state
Resting state fMRI
One single fMRI which is used to characterize a uni or a bipolar major depressive episode (MDE).
Unipolar disorder
a single resting state fMR for patients with monopolar disorder with acute depressive state
Resting state fMRI
One single fMRI which is used to characterize a uni or a bipolar major depressive episode (MDE).
Healthy volunteers
a single resting state fMRI for subjects without psychiatric disorders assessed by the SCID
Resting state fMRI
One single fMRI which is used to characterize a uni or a bipolar major depressive episode (MDE).
Interventions
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Resting state fMRI
One single fMRI which is used to characterize a uni or a bipolar major depressive episode (MDE).
Eligibility Criteria
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Inclusion Criteria
* Patients in an acute depressive state (according to DSM-IV criteria).
* Men or Women with age between 18 to 65 years.
* Patients with unipolar depression must fullfill Mitchel's criteria for unipolar depression.
* MADRS score \> 22
* YMRS score \< 12
* Mean duration of depressive episode \< 1 year
* in-patient or out-patient
Healthy volunteers matched for age and socio-educational level, without personal history of unipolar or bipolar depression and without psychiatric disorders
Exclusion Criteria
* Bipolar disorder with rapid cycling
* Suicidal thoughts with score \> 3 at the MADRS item 'suicide'
* Depression with psychotic features
* Psychiatric co-morbidity including other AXIS-1 disorders (OCD, schizophrenia, social phobia) and borderline personality disorder
* Substance and alcohol abuse or dependance
* Recent treatment with ECT (\< 6 months)
* Previous history of Brain Traumatic Injury; neurological disorders (multiple sclerosis, parkinson's disease, stroke) or disorders associated with abnormal MRI (lupus, Behcet's disease)
* Contra-indication of MRI: pregnancy; tatoos; claustrophobia
* Patient hospitalized under legal condition
* Patient that requires an important sedation due to anxiety
* Bipolar patients that requires at less 3 mood stabilizers
* Patient receiving a new antidepressant since more than 10 days
* Patients without social security insurance
* Patients with legal protection
18 Years
65 Years
ALL
Yes
Sponsors
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FoundaMental Mental Health Foundation RTRS (France)
UNKNOWN
Assistance Publique - Hôpitaux de Paris
OTHER
Responsible Party
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Principal Investigators
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Philippe FOSSATI, Professor
Role: PRINCIPAL_INVESTIGATOR
AP-HP, Pitié-Salpêtrière Hospital of Paris
Other Identifiers
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P100144
Identifier Type: -
Identifier Source: org_study_id