Brain Imaging of Neuropsychiatric Patients Using 3.0 Tesla MRI and MEG
This observational study aims to compare brain imaging measures, such as volume, connectivity, and magnetic field potentials, between individuals with schizophrenia and healthy subjects using 3.0 Tesla MRI and MEG.
Data Collection
Collected at a single point in time - Cross-sectionalMental Disorders
+ Schizophrenia Spectrum and Other Psychotic Disorders
+ Schizophrenia
Case-Control
Comparing exposures between individuals with and without disease in order to identify potential risk factors.Summary
Study start date: February 17, 2000
Actual date on which the first participant was enrolled.This protocol is meant to provide a matrix for multiple, simultaneous brain imaging investigations using magnetic resonance imaging (MRI) at 3.0 Tesla (3T). We intend to study regional brain structure, physiology, and biochemistry in living human subjects, both healthy and ill. Based on multiple clinical, neuropathological, and functional neuroimaging studies, it is clear that schizophrenia is a brain disorder arising from subtle neuronal deficits (for lack of more specific terminology). These deficits likely arise in a few key regions such as dorsolateral prefrontal cortex and hippocampal formation, that result in widespread, multifaceted, and devastating clinical consequences. These neuronal deficits are clearly heritable, although in a complex fashion from multiple genes interacting in an epistatic fashion with each other and the environment. We hypothesize that these neuronal deficits, clearly resulting in quantifiable behavioral abnormalities in schizophrenic patients, will produce predictable, quantifiable aberrations in neurophysiology that we can "map" using magnetic resonance imaging. In spite of numerous functional imaging findings, clinical applications remain scarce and pathognomonic findings absent. Therefore, we do not anticipate that an approach based solely on any one modality is likely to significantly advance our knowledge base. Instead, we propose to create brain imaging datasets for individual human subjects predicated on 1) the appraisal of brain function from multiple domains simultaneously; 2) the characterization of brain function via summation and intercorrelation of these data; and 3) the digestion of these data based on the parsing of complex clinical phenomenology into quantifiable neurophysiological parameters. Thus, in addition to the identification of those parameters that best characterize and identify manifest schizophrenia (i.e., state variables), we hypothesize that some of these fundamental characteristics will be heritable. These fundamental characteristics, so-called endo- or intermediate phenotypes, represent powerful tools to find susceptibility genes and have already generated a number of linkage findings.
Protocol
This section provides details of the study plan, including how the study is designed and what the study is measuring.3273 patients to be enrolled
Total number of participants that the clinical trial aims to recruit.Case-Control
Eligibility
Researchers look for people who fit a certain description, called eligibility criteria: person's general health condition or prior treatments.Any sex
Biological sex of participants that are eligible to enroll.From 18 to 120 Years
Range of ages for which participants are eligible to join.Healthy volunteers allowed
If individuals who are healthy and do not have the condition being studied can participate.Conditions
Pathology
Criteria
Study Plan
Find out more about all the medication administered in this study, their detailed description and what they involve.3 intervention groups are designated in this study
This study does not include a placebo group
Treatment Groups
Study Objectives
Primary Objectives
Secondary Objectives
Study Centers
These are the hospitals, clinics, or research facilities where the trial is being conducted. You can find the location closest to you and its status.This study has 1 location
National Institutes of Health Clinical Center
Bethesda, United StatesOpen National Institutes of Health Clinical Center in Google Maps