ClinicalTrials.Veeva

Menu

Psychiatric Disorders and Electrophysiological Markers (ERPs-PSY)

P

Public Assistance-Hospitals of Marseille (AP-HM)

Status

Unknown

Conditions

Schizophrenia

Treatments

Other: electrophysiological recordings

Study type

Interventional

Funder types

Other

Identifiers

NCT02329119
RCAPHM14_0077 (Registry Identifier)
2014-07

Details and patient eligibility

About

Schizophrenia is considered as the most frequent and the most severe chronic psychotic disorder. Its evolutionary modes and its clinical symptomatology remain particularly heterogeneous. Moreover, the brain processes involved in schizophrenia are still far from being clearly understood. Current empirical studies provide a mean duration comprised between 1 and 3 years without any specific diagnosis or treatment. These diagnosis issues are partly based on difficulties in the early distinction between schizophrenia and bipolar affective disorders (BD).

These results emphasize the necessity of new early indices (or endophenotypes). Such markers are intended to be more specific than classical clinical manifestations. In other words, they have to be absent among patients with differential diagnosis, such as BD. Among other possible early indices, several electrophysiological disturbances have been explored.

Our study is designed to mainly describe the N400 component among patients with schizophrenia or BD. This component is classically interpreted as indexing the integration the meaning of a linguistic stimulus in its preceding context. Our main hypothesis aims to show a specific alteration of N400 component among patients with schizophrenia when compared to participants with BD.

The second aim of this study concerns the exploration of four other event related potentials (ERPs) among patients with schizophrenia or BD:

  • the P50 component, involved in early sensory gating processes,
  • the P300 component, thought to reflect attentional resource allocation and working memory updating of stimulus context,
  • the P600 component, elicited during same paradigms than N400, and reflecting their syntactic congruity.
  • the CNV (Contingent Negative Variation), reflecting processes of motor anticipation

Regarding to their potential 'endophenotypes' status, our aim consists in comparing the N400 and three other ERPs among patients with schizophrenia or bipolar affective disorder. Since the schizophrenic specificity of such ERPs alterations still remains rarely studied, we also propose to describe the possible relations between these ERPs results and clinical scores observed among patients.

Enrollment

200 estimated patients

Sex

All

Ages

18 to 65 years old

Volunteers

No Healthy Volunteers

Inclusion criteria

  • Subject showing no severe or progressive somatic pathology, including neurological pathology (head injury, epilepsy, tumor process or multiple sclerosis causing EEG changes incompatible with the observation of ERP characteristics of both psychiatric disorders explored)
  • Subject showing a diagnosis of schizophrenia or a diagnosis of bipolar affective disorders, as defined in the DSM IV-TR, in time of inclusion.
  • Subject showing no disorder related to the use of a substance according to DSM IV-TR during the last 12 months prior to enrollment.
  • Subject not showing another psychiatric disorder according to DSM IV-TR (axis 1 disorders), including schizoaffective disorder or a delusional disorder (not schizophrenic).

Exclusion criteria

  • Subject unable to give informed consent

Trial design

200 participants in 2 patient groups

G1-SCZ
Experimental group
Description:
patients with schizophrenia as defined in DSM IV-TR
Treatment:
Other: electrophysiological recordings
G2-TAB
Active Comparator group
Description:
patients with bipolar affective disorder (BD) type I as defined by the DSM IV-TR
Treatment:
Other: electrophysiological recordings

Trial contacts and locations

1

Loading...

Central trial contact

Michel CERMOLACCE, Dr

Data sourced from clinicaltrials.gov

Clinical trials

Find clinical trialsTrials by location
© Copyright 2024 Veeva Systems