The neural substrate of cognitive and social-emotional apathy in patients with schizophrenia

Completed

Conditions: apathy
listlessness
10039628

Registration Number: NL-OMON43784

Lead Sponsor: niversitair Medisch Centrum Groningen

Brief Summary: Not available

Detailed Description: Not available

Recruitment & Eligibility

Status: Completed

Sex: Not specified

Target Recruitment: 80

Inclusion Criteria

Patients with schizophrenia (N=60)
- At least 18 years of age
- DSM-IV diagnosis of schizophrenia, or schizoaffective disorder
- High levels of cognitive or social-emotional apathy
or
- Absence or low level of apathy
- Patient groups will be matched on age, sex, education, levels of depressive symptoms, levels of D2 dopamine receptor occupancy and handedness
- Written informed consent;Healthy controls (N=20)
- At least 18 years of age
- Matched to patients on age, sex, education, levels of depressive symptoms and handedness
- Written informed consent

Exclusion Criteria

Patients with schizophrenia (N=60)
• Presence of a substance dependence disorder
• Presence of a neurological disorder
• Use of medication that can influence task results (e.g. beta-blockers, insulin);Healthy controls (N=20)
• Presence of a neurological or psychiatric disorder, in present or past.
• Use of medication that can influence task results (e.g. psychopharmaca, beta-blockers, insulin)
• High levels of apathy (a score of more than 27 on the AES);All subjects (N=80):
• Visual or hearing problems that cannot be corrected
• Insufficient knowledge of the Dutch language
• Inability to undergo cognitive testing

Study & Design

Study Type: Observational invasive

Study Design: Not specified

Primary Outcome Measures

Name	Time	Method
<p>The main study parameter will be brain activation (BOLD-response) measured with<br /><br>functional Magnetic Resonance Imaging (fMRI).</p><br>

Secondary Outcome Measures

Name	Time	Method
<p>Secondary parameters will be metabolic differences using Magnetic Resonance<br /><br>Spectroscopy (MRS) and white matter pathways using Diffusion Tensor Imaging<br /><br>(DTI). Furthermore, we will explore local concentration of grey matter, using<br /><br>Voxel-Based Morphometry (VBM) of a structural MRI scan and fronto-parietal<br /><br>connectivity and perfusion during a resting-state scan.</p><br>