ID
45624
Descrição
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
Palavras-chave
Versões (1)
- 28/02/23 28/02/23 - Chiara Middel
Titular dos direitos
David Van Essen, PhD, Washington University School of Medicine, St. Louis, MO, USA
Transferido a
28 febbraio 2023
DOI
Para um pedido faça login.
Licença
Creative Commons BY 4.0
Comentários do modelo :
Aqui pode comentar o modelo. Pode comentá-lo especificamente através dos balões de texto nos grupos de itens e itens.
Comentários do grupo de itens para :
Comentários do item para :
Para descarregar formulários, precisa de ter uma sessão iniciada. Por favor faça login ou registe-se gratuitamente.
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])