ID
45624
Descripción
Principal Investigator: David Van Essen, PhD, Washington University School of Medicine, St. Louis, MO, USA MeSH: Connectome,Magnetic Resonance Imaging,Behavioral Research,Magnetoencephalography,Healthy Volunteers https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs001364 The Human Connectome Project (HCP) has acquired vast amounts of data about the pattern of long-distance connections (wiring) in the brains of large numbers of healthy participants aged 22-35 using cutting-edge MRI and MEG neuroimaging, and extensive behavioral testing. Types of MR data collected included diffusion MRI (dMRI), resting-state functional MRI (r-fMRI), and structural MRI at both 3T and 7T, and task-evoked functional MRI (t-fMRI) at 3T. Following an extensive period of development and optimization of data acquisition and analysis methods, at Washington University in St. Louis we studied 1,206 participants comprising twins and their non-twin siblings. A subset of 184 twins was scanned again at the University of Minnesota using a 7T scanner. A different subset of 95 twins was studied at St. Louis University using combined resting state and/or task-activated MEG. We were able to collect genetic data on 1142 of our 1206 participants, including 149 pairs of genetically-confirmed monozygotic twins (298 participants) and 94 pairs of genetically-confirmed dizygotic twins (188 participants). Overall, there are 457 different families in the study, as determined by genetic analysis. Our rich set of imaging, behavioral and genetic data - available through the Human Connectome database - will enable many types of analysis of brain circuitry, its relationship to behavior, and the contributions of genetic and environmental factors to brain circuits.
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Versiones (1)
- 28/2/23 28/2/23 - Chiara Middel
Titular de derechos de autor
David Van Essen, PhD, Washington University School of Medicine, St. Louis, MO, USA
Subido en
28 de febrero de 2023
DOI
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Licencia
Creative Commons BY 4.0
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dbGaP phs001364 Mapping the Human Connectome: Structure, Function, and Heritability
Eligibility Criteria
- StudyEvent: SEV1
- Eligibility Criteria
- Subject - Consent - Affection Status Information
- The dataset provides pedigee information (incl. self-reported and genotype-derived mz/dz twin status).
- Subject - Sample Mapping - Sample Use Information
- The dataset provides age and gender information.
- The datset includes information about body source of samples, analyte type, genotyping center.
Similar models
Eligibility Criteria
- StudyEvent: SEV1
- Eligibility Criteria
- Subject - Consent - Affection Status Information
- The dataset provides pedigee information (incl. self-reported and genotype-derived mz/dz twin status).
- Subject - Sample Mapping - Sample Use Information
- The dataset provides age and gender information.
- The datset includes information about body source of samples, analyte type, genotyping center.
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