Research of Anatomo-functional Biomarkers in Schizophrenia

NCT ID: NCT03996122

Last Updated: 2019-06-24

Study Results

Results pending

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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Recruitment Status

UNKNOWN

Total Enrollment

15 participants

Study Classification

OBSERVATIONAL

Study Start Date

2019-04-04

Study Completion Date

2021-10-04

Brief Summary

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To objectify UR biomarkers, we propose a longitudinal follow-up of resistant patients with schizophrenia, starting before the onset of clozapine and including a multimodal brain imaging assessment (T1 and T2 weighted sequences, DTI, ASL-Perfusion, fMRI- Rest) associated with clinical and biological monitoring. In order to correct the MRI signal of clozapine hemodynamic effects, we will develop a new MRI methodology based on the concomitant collection of physiological parameters (blood pressure, electrocardiogram and respiration).

Detailed Description

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The identification of biomarkers of ultra-resistance (UR) to treatment in schizophrenia would allow earlier, better adapted and more effective personalized management of these patients, which would improve their functional prognosis.

An early decrease in functional connectivity (FC) between some rest networks has recently been proposed as an UR biomarker by McNabb et al. Nevertheless, clozapine has, among its side effects, a direct cardiac action that profoundly modifies patient's hemodynamics. However, functional brain imaging techniques are based on BOLD effect which is dependent on these hemodynamic parameters. It is therefore not possible to say whether these differences in FC are inherent to the pathology or whether they are related to clozapine instauration which causes hemodynamic changes that may disturb BOLD signal.

To objectify UR biomarkers, investigators propose a longitudinal follow-up of resistant patients, starting before clozapine instauration and including a multimodal brain imaging assessment (T1 and T2 weighted sequences, DTI, ASL-Perfusion, fMRI- Rest) associated with clinical and biological monitoring. In order to correct the MRI signal of clozapine hemodynamic effects, investigators will develop a new MRI methodology based on the concomitant collection of physiological parameters (blood pressure, electrocardiogram and respiration).

Conditions

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Schizophrenia

Study Design

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Observational Model Type

COHORT

Study Time Perspective

PROSPECTIVE

Study Groups

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resistant patients with schizophrenia

Age 18 - 60 years No MRI contraindication

fMRI

Intervention Type OTHER

3 fMRI (TO, Month 2 and Month 6) 3 BDNF samples (TO, Month 2 and Month 6)

Interventions

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fMRI

3 fMRI (TO, Month 2 and Month 6) 3 BDNF samples (TO, Month 2 and Month 6)

Intervention Type OTHER

Other Intervention Names

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BDNF samples

Eligibility Criteria

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Inclusion Criteria

* schizophrenia or schizoaffective disorder (DSM 5)
* drug resistance
* written patient approval
* social security number in France
* curator or tutor approval if needed

Exclusion Criteria

* pregnancy
* other research participation
* neurological evolution disorder
* no MRI contraindication
Minimum Eligible Age

18 Years

Maximum Eligible Age

60 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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University Hospital, Caen

OTHER

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

Principal Investigators

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Anaïs Vandevelde, MD

Role: PRINCIPAL_INVESTIGATOR

CHU of Caen, Esquirol

Locations

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CHU CAEN Normandie

Caen, Normandy, France

Site Status RECRUITING

Countries

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France

Central Contacts

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Anaïs Vandevelde, MD

Role: CONTACT

0231064422 ext. +33

Olivier Etard, MD

Role: CONTACT

0231470200 ext. +33

Facility Contacts

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Anaïs Vandevelde, MD

Role: primary

231065062 ext. +33

Related Links

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https://www.ncbi.nlm.nih.gov/pubmed/30145382

Abnormalities of fronto-subcortical pathways in schizophrenia and the differential impacts of antipsychotic treatment: a DTI-based tractography study

https://www.ncbi.nlm.nih.gov/pubmed/29042073

Functional network dysconnectivity as a biomarker of treatment resistance in schizophrenia

Other Identifiers

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2018-A03281-54

Identifier Type: -

Identifier Source: org_study_id

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