Ignite Creation Date:
2024-05-05 @ 10:17 AM
Last Modification Date:
2024-10-26 @ 9:04 AM
Study NCT ID:
NCT00004571
Status:
RECRUITING
Last Update Posted:
2024-06-21
First Post:
2000-02-15
Brief Title:
Magnetic Resonance Imaging MRI of Neuropsychiatric Patients and Healthy Volunteers
Sponsor:
National Institute of Mental Health NIMH
Organization:
National Institutes of Health Clinical Center CC
Study Overview
Official Title:
Structural and Functional Imaging of Neuropsychiatric Patients and Normal Volunteers With 30 Tesla MRI and Magnetoencephalography MEG
Status:
RECRUITING
Status Verified Date:
2024-09-05
Last Known Status:
None
Delayed Posting:
No
If Stopped, Why?:
Not Stopped
Has Expanded Access:
False
If Expanded Access, NCT#:
N/A
Has Expanded Access, NCT# Status:
N/A
Acronym:
None
Brief Summary:
The purpose of this study is to use brain imaging technology to compare differences in brain structure chemistry and functioning in individuals with brain and mental disorders compared to healthy volunteers
Schizophrenia is a brain disorder that results from subtle changes and abnormalities in neurons These deficits likely occur in localized regions of the brain and may result in widespread devastating consequences The neuronal abnormalities are inherited through a complex combination of genetic and environmental factors Brain imaging technologies can be used to better characterize brain changes in individuals with schizophrenia This study will use magnetic resonance imaging MRI scans to identify predictable quantifiable abnormalities in neurophysiology neurochemistry and neuroanatomy that characterize schizophrenia and other neurological and neuropsychiatric disorders
Schizophrenia is a brain disorder that results from subtle changes and abnormalities in neurons These deficits likely occur in localized regions of the brain and may result in widespread devastating consequences The neuronal abnormalities are inherited through a complex combination of genetic and environmental factors Brain imaging technologies can be used to better characterize brain changes in individuals with schizophrenia This study will use magnetic resonance imaging MRI scans to identify predictable quantifiable abnormalities in neurophysiology neurochemistry and neuroanatomy that characterize schizophrenia and other neurological and neuropsychiatric disorders
Detailed Description:
This protocol is meant to provide a matrix for multiple simultaneous brain imaging investigations using magnetic resonance imaging MRI at 30 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 ie 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
Study Oversight
Has Oversight DMC:
None
Is a FDA Regulated Drug?:
False
Is a FDA Regulated Device?:
None
Is an Unapproved Device?:
None
Is a PPSD?:
None
Is a US Export?:
None
Is an FDA AA801 Violation?:
None
Secondary IDs
| Secondary ID | Type | Domain | Link |
|---|---|---|---|
| 00-M-0085 | None | None | None |