ID
45624
Description
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.
Link
Keywords
Versions (1)
- 2/28/23 2/28/23 - Chiara Middel
Copyright Holder
David Van Essen, PhD, Washington University School of Medicine, St. Louis, MO, USA
Uploaded on
February 28, 2023
DOI
To request one please log in.
License
Creative Commons BY 4.0
Model comments :
You can comment on the data model here. Via the speech bubbles at the itemgroups and items you can add comments to those specificially.
Itemgroup comments for :
Item comments for :
In order to download data models you must be logged in. Please log in or register for free.
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.
C0680251 (UMLS CUI [1,2])
C3494407 (UMLS CUI [1,2])
C0011008 (UMLS CUI [1,2])
C0039457 (UMLS CUI [1,3])
C0348026 (UMLS CUI [1,4])
C0021822 (UMLS CUI [1,5])
C3494407 (UMLS CUI [1,2])
C0455498 (UMLS CUI [1,3])
C1299544 (UMLS CUI [1,4])
C0027765 (UMLS CUI [1,5])
C0007222 (UMLS CUI [1,6])
C0700287 (UMLS CUI [1,2])
C0011900 (UMLS CUI [1,3])
C0012634 (UMLS CUI [1,2])
C0004933 (UMLS CUI [1,2])
C0175906 (UMLS CUI [1,3])
C0033872 (UMLS CUI [1,4])
C0237426 (UMLS CUI [1,5])
C0259863 (UMLS CUI [1,6])
C0040223 (UMLS CUI [1,7])
C1298908 (UMLS CUI [2,1])
C0680251 (UMLS CUI [2,2])
C0013227 (UMLS CUI [2,3])
C0449238 (UMLS CUI [2,4])
C5203310 (UMLS CUI [2,5])
C0231335 (UMLS CUI [2,6])
C0700287 (UMLS CUI [1,2])
C0011900 (UMLS CUI [1,3])
C0012634 (UMLS CUI [1,2])
C0700287 (UMLS CUI [1,2])
C0011900 (UMLS CUI [1,3])
C0012634 (UMLS CUI [1,2])
C0004933 (UMLS CUI [1,2])
C0175906 (UMLS CUI [1,3])
C0033872 (UMLS CUI [1,4])
C0237426 (UMLS CUI [1,5])
C0259863 (UMLS CUI [1,6])
C0449238 (UMLS CUI [1,7])
C0040223 (UMLS CUI [1,8])
C1298908 (UMLS CUI [2,1])
C0680251 (UMLS CUI [2,2])
C0013227 (UMLS CUI [2,3])
C5203310 (UMLS CUI [2,4])
C0449238 (UMLS CUI [2,5])
C0231335 (UMLS CUI [2,6])
C0036572 (UMLS CUI [1,2])
C0001779 (UMLS CUI [1,3])
C0014544 (UMLS CUI [2,1])
C0011900 (UMLS CUI [2,2])
C0010674 (UMLS CUI [1,2])
C0002895 (UMLS CUI [1,3])
C0007789 (UMLS CUI [1,2])
C0006118 (UMLS CUI [1,3])
C0038454 (UMLS CUI [1,4])
C0018670 (UMLS CUI [1,2])
C3263723 (UMLS CUI [1,3])
C0234433 (UMLS CUI [1,2])
C0449238 (UMLS CUI [1,2])
C0278060 (UMLS CUI [1,2])
C0449238 (UMLS CUI [1,3])
C0040405 (UMLS CUI [1,2])
C3263723 (UMLS CUI [1,3])
C0006104 (UMLS CUI [1,4])
C2945599 (UMLS CUI [1,2])
C0006107 (UMLS CUI [1,3])
C0018674 (UMLS CUI [1,4])
C0011900 (UMLS CUI [1,2])
C0021081 (UMLS CUI [1,2])
C0279134 (UMLS CUI [2,1])
C1514457 (UMLS CUI [2,2])
C0011849 (UMLS CUI [1,2])
C3843193 (UMLS CUI [1,2])
C0149931 (UMLS CUI [1,3])
C0205082 (UMLS CUI [1,2])
C0008909 (UMLS CUI [1,3])
C0025552 (UMLS CUI [1,2])
C0460148 (UMLS CUI [1,3])
No comments