Development and Decline of Brain and Cognition Through the Life Span

The protocol objectives are to enable prospective IRB review of research using human MRI scans and data collected under other branch protocols or extramural sources. By combining data from multiple sources the investigators will be able to conduct analyses that require large numbers of observations that exceed the numbers collected in any single study. They will also be able to stratify and subgroup the combined samples in different ways to permit analyses that would otherwise not be possible. The study population consists of normal individuals and clinical groups of all ages. Clinical groups will be added by amendment including patients suffering from schizophrenia, ADHD, autism, Klinefelter's disease, and Alzheimer's disease. The study design consists of 1) automated segmentation of MRI brain scans to obtain regional measurements of cortical thickness and volumetric measurements of brain structures including basal ganglia, 2) manual segmentation of brain structures and brain anomalies not amenable to automated segmentation such as Virchow-Robbins spaces, 3) correlation analyses between MRI brain measurements and available demographic (e.g. gender) and physiological (e.g. BMI) data, statistical analysis of group differences where the groups are defined by diagnosis, age, gender or by other potentially useful classification. Since all data were collected under other protocols there are no additional risks or benefits associated with this protocol. This protocol combines MRI data from disparate sources and can provide important information regarding factors that may affect the comparability of MRI scans obtained from different sites using various types of MRI scanners and pulse sequences to generate MRI images. It will also enable the analysis of specific subgroups with sufficient numbers of observations for meaningful statistics.

Study Overview

Status

Completed

Conditions

Detailed Description

The protocol objectives are to enable prospective IRB review of research using human MRI scans and data collected under other branch protocols or extramural sources. By combining data from multiple sources, the investigators will be able to conduct analyses that require large numbers of observations that exceed the numbers collected in any single study. They will also be able to stratify and subgroup the combined samples in different ways to permit analyses that would otherwise not be possible. The study population consists of normal individuals and clinical groups of all ages. Clinical groups will be added by amendment, including patients suffering from schizophrenia, ADHD, autism, Klinefelter's disease, and Alzheimer's disease. The study design consists of 1) automated segmentation of MRI brain scans to obtain regional measurements of cortical thickness and volumetric measurements of brain structures including basal ganglia, 2) manual segmentation of brain structures and brain anomalies not amenable to automated segmentation such as Virchow-Robbins spaces, 3) correlation analyses between MRI brain measurements and available demographic (e.g. gender) and physiological (e.g. BMI) data, statistical analysis of group differences where the groups are defined by diagnosis, age, gender or by other potentially useful classification. Since all data were collected under other protocols there are no additional risks or benefits associated with this protocol. This protocol combines MRI data from disparate sources and can provide important information regarding factors that may affect the comparability of MRI scans obtained from different sites using various types of MRI scanners and pulse sequences to generate MRI images. It will also enable the analysis of specific subgroups with sufficient numbers of observations for meaningful statistics.

Study Type

Observational

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

    • Maryland
      • Bethesda, Maryland, United States, 20892
        • National Institute of Mental Health (NIMH), 9000 Rockville Pike

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Child
  • Adult
  • Older Adult

Accepts Healthy Volunteers

No

Genders Eligible for Study

All

Description

  • Data Analysis Only

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Investigators

  • Principal Investigator: Francois M Lalonde, Ph.D., National Institute of Mental Health (NIMH)

Publications and helpful links

The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start

March 1, 2009

Study Registration Dates

First Submitted

April 10, 2009

First Submitted That Met QC Criteria

April 10, 2009

First Posted (Estimate)

April 13, 2009

Study Record Updates

Last Update Posted (Actual)

March 16, 2021

Last Update Submitted That Met QC Criteria

March 15, 2021

Last Verified

September 1, 2012

More Information

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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