Evidence map›Paper›PMID 30052318›Full record

ArticleHuman brain mapping2018

Comparison of heritability estimates on resting state fMRI connectivity phenotypes using the ENIGMA analysis pipeline.

Bhim M Adhikari, Neda Jahanshad, Dinesh Shukla, David C Glahn, John Blangero, Peter T Fox, Richard C Reynolds, Robert W Cox, Els Fieremans, Jelle Veraart and 5 more

Open access · bronzeAbstract readTwin Study
In one paragraph

Article in Human brain mapping, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 2 pooled it
5.2field-weighted citation impact, top 4% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

32 citing papers in PubMed, 2 syntheses or guidelines pooled it, 69 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Review
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors at 7 institutions in 2 countries.

Bhim M AdhikariDepartment of Psychiatry, Maryland Psychiatric Research Center, University of Maryland School of Medicine, Baltimore, Maryland.
Neda JahanshadImaging Genetics Center, Stevens Institute for Neuroimaging and Informatics, Keck School of Medicine of USC, Los Angeles, California.
Dinesh ShuklaDepartment of Psychiatry, Maryland Psychiatric Research Center, University of Maryland School of Medicine, Baltimore, Maryland.
David C GlahnDepartment of Psychiatry, School of Medicine, Yale University, New Haven, Connecticut.ORCID 0000-0002-4749-6977
John BlangeroGenomics Computing Center, University of Texas at Rio Grande Valley, Edinburg, Texas.
Peter T FoxUniversity of Texas Health Science Center at San Antonio, San Antonio, Texas.
Richard C ReynoldsNational Institute of Mental Health, Bethesda, Maryland.
Robert W CoxNational Institute of Mental Health, Bethesda, Maryland.
Els FieremansCenter for Biomedical Imaging, Department of Radiology, New York University School of Medicine, New York, New York.
Jelle VeraartCenter for Biomedical Imaging, Department of Radiology, New York University School of Medicine, New York, New York.
Dmitry S NovikovCenter for Biomedical Imaging, Department of Radiology, New York University School of Medicine, New York, New York.
Thomas E NicholsDepartment of Statistics, University of Warwick, Coventry, United Kingdom.
L Elliot HongDepartment of Psychiatry, Maryland Psychiatric Research Center, University of Maryland School of Medicine, Baltimore, Maryland.
Paul M ThompsonImaging Genetics Center, Stevens Institute for Neuroimaging and Informatics, Keck School of Medicine of USC, Los Angeles, California.
Peter KochunovDepartment of Psychiatry, Maryland Psychiatric Research Center, University of Maryland School of Medicine, Baltimore, Maryland.ORCID 0000-0003-3656-4281
University of Maryland, Baltimore · USNew York University · USNational Institute of Mental Health · USThe University of Texas Health Science Center at San Antonio · USThe University of Texas Rio Grande Valley · USUniversity of Warwick · GBYale University · US

Funding

PSYCHOSOCIAL COREP30AG008051 · NIA · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI SHAO, YONGZHAO · 1990 to 2019
$36.1M
Training U54EB020403 · NIBIB · UNIVERSITY OF SOUTHERN CALIFORNIA · PI THOMPSON, PAUL M · 2014 to 2018
$10.1M
SOLAR-Eclipse Computational Tools for Imaging GeneticsR01EB015611 · NIBIB · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI KOCHUNOV, PETER V. · 2012 to 2024
$5.0M
Genetics of Brain Structure and FunctionR01MH078111 · NIMH · TEXAS BIOMEDICAL RESEARCH INSTITUTE · PI BLANGERO, JOHN · 2006 to 2014
$4.5M
Multidisciplinary Schizophrenia Research TrainingT32MH067533 · NIMH · UNIVERSITY OF MARYLAND BALTIMORE · PI CARPENTER, WILLIAM T., ELMER, GREGORY I · 2004 to 2025
$4.3M
Amish Connectome Project on Mental IllnessU01MH108148 · NIMH · UNIVERSITY OF MARYLAND BALTIMORE · PI HONG, L ELLIOT ELLIOT, KOCHUNOV, PETER V. · 2015 to 2018
$4.3M
Towards Multisystem-Brain Successful Aging in Schizophrenia SpectrumR01MH116948 · NIMH · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI HONG, L ELLIOT ELLIOT · 2018 to 2022
$3.7M
Genetics of Brain Structure and Function: Genome-Wide AssociationR01MH083824 · NIMH · YALE UNIVERSITY · PI GLAHN, DAVID C · 2008 to 2013
$3.3M
Shared Neural Circuitry in Comorbid Schizophrenia and Nicotine AddictionR01DA027680 · NIDA · UNIVERSITY OF MARYLAND BALTIMORE · PI HONG, L ELLIOT ELLIOT · 2010 to 2014
$2.4M
Neural Oscillatory Biomarkers for Genetics and Animal Models of SchizophreniaR01MH085646 · NIMH · UNIVERSITY OF MARYLAND BALTIMORE · PI HONG, L ELLIOT ELLIOT · 2010 to 2013
$2.2M
A global alliance to unlock brain mechanisms influencing suicidal behaviors through the ENIGMA ConsortiumR01MH117601 · NIMH · UNIVERSITY OF SOUTHERN CALIFORNIA · PI JAHANSHAD, NEDA, SCHMAAL, LIANNE · 2018 to 2021
$1.5M
The Role of Stress-Immune-Connectome Disruption in Mechanisms of Chinese Early Schizophrenia SpectrumR01MH112180 · NIMH · UNIVERSITY OF MARYLAND BALTIMORE · PI HONG, L ELLIOT ELLIOT · 2017 to 2021
$1.0M
NIA NIH HHS P30 AG008051NIBIB NIH HHS R01 EB015611NIBIB NIH HHS U54 EB020403NIDA NIH HHS R01 DA027680NIH HHS S10 OD023696NIMH NIH HHS R01 MH078111NIMH NIH HHS R01 MH083824NIMH NIH HHS R01 MH085646NIMH NIH HHS R01 MH112180NIMH NIH HHS R01 MH116948NIMH NIH HHS R01 MH117601NIMH NIH HHS T32 MH067533NIMH NIH HHS U01 MH108148
6 · The paper itself

Abstract

We measured and compared heritability estimates for measures of functional brain connectivity extracted using the Enhancing Neuroimaging Genetics through Meta-Analysis (ENIGMA) rsfMRI analysis pipeline in two cohorts: the genetics of brain structure (GOBS) cohort and the HCP (the Human Connectome Project) cohort. These two cohorts were assessed using conventional (GOBS) and advanced (HCP) rsfMRI protocols, offering a test case for harmonization of rsfMRI phenotypes, and to determine measures that show consistent heritability for in-depth genome-wide analysis. The GOBS cohort consisted of 334 Mexican-American individuals (124M/210F, average age = 47.9 ± 13.2 years) from 29 extended pedigrees (average family size = 9 people; range 5-32). The GOBS rsfMRI data was collected using a 7.5-min acquisition sequence (spatial resolution = 1.72 × 1.72 × 3 mm

Indexed as

PhenotypeAdultCerebral CortexCohort StudiesConnectomeFamilyFemaleHeredityHumansMagnetic Resonance ImagingMaleMexican AmericansMiddle AgedNerve NetTwinsYoung Adultfunctional connectivityheritableseed-based connectivity

Identifiers

PMID30052318
PMCPMC6218292
OpenAlexW2884413411

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.