Evidence map›Paper›PMID 31091476›Full record

ArticleNeuroImage2019

Ciftify: A framework for surface-based analysis of legacy MR acquisitions.

Erin W Dickie, Alan Anticevic, Dawn E Smith, Timothy S Coalson, Mathuvanthi Manogaran, Navona Calarco, Joseph D Viviano, Matthew F Glasser, David C Van Essen, Aristotle N Voineskos

Registry-linked trialAbstract read
In one paragraph

Article in NeuroImage, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07699159 (Cohort Network for Adolescents and Youth With multipLe Mental Health Conditions), which is not on this map. Cited by 94 papers.

0numbers the graph read from it
0cells of the map it votes in
94citing papers in PubMed
–field-weighted citation impact
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.

NCT07699159 recruitingnot on this mapstarted 2025, after this paper: background citation

Cohort Network for Adolescents and Youth With multipLe Mental Health Conditions (CALM): A Master Observational Trial

TypeobservationalSponsorCentre for Addiction and Mental HealthRan2025 to 2028Enrolled1,620ConditionsMultiple Mental Health Conditions, Child Mental Health, Youth Mental Health
3 · Its place in the literature

Who cites it

94 citing papers in PubMed.

  1. Trial
  2. Trial
  3. Trial
  4. Trial
  5. Individualized Network Topography in Pre-adolescent Children and Adults Using Naturalistic Precision fMRI.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026
    Article
  6. Increased Attentive Use Is Linked to More Idiosyncratic Functional Connections.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026
    Article
  7. Article
  8. Neural response to reward uncertainty in adolescents with mood and anxiety symptoms.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2026
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

34 more citing papers are in PubMed but not listed here.

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

10 authors.

Erin W DickieKimel Family Translational Imaging-Genetics Laboratory, Campbell Family Mental Health Research Institute, Centre of Addiction and Mental Health, Toronto Canada. Electronic address: erin.dickie@camh.ca.
Alan AnticevicDepartment of Psychiatry, Yale University School of Medicine, New Haven, CT, USA; Division of Neurocognition, Neurocomputation, & Neurogenetics (N3), Yale University School of Medicine, New Haven, CT, USA; Interdepartmental Neuroscience Program, Yale University, New Haven, CT, USA; Department of Psychology, Yale University, New Haven, CT, USA.
Dawn E SmithKimel Family Translational Imaging-Genetics Laboratory, Campbell Family Mental Health Research Institute, Centre of Addiction and Mental Health, Toronto Canada.
Timothy S CoalsonDepartments of Radiology and Neuroscience, Washington University School of Medicine, St Louis, USA.
Mathuvanthi ManogaranKimel Family Translational Imaging-Genetics Laboratory, Campbell Family Mental Health Research Institute, Centre of Addiction and Mental Health, Toronto Canada.
Navona CalarcoKimel Family Translational Imaging-Genetics Laboratory, Campbell Family Mental Health Research Institute, Centre of Addiction and Mental Health, Toronto Canada.
Joseph D VivianoKimel Family Translational Imaging-Genetics Laboratory, Campbell Family Mental Health Research Institute, Centre of Addiction and Mental Health, Toronto Canada.
Matthew F GlasserDepartments of Radiology and Neuroscience, Washington University School of Medicine, St Louis, USA; St. Luke's Hospital, Chesterfield, MO, USA.
David C Van EssenDepartments of Radiology and Neuroscience, Washington University School of Medicine, St Louis, USA.
Aristotle N VoineskosKimel Family Translational Imaging-Genetics Laboratory, Campbell Family Mental Health Research Institute, Centre of Addiction and Mental Health, Toronto Canada; Department of Psychiatry, University of Toronto, Toronto, Canada.

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
RECONSTRUCTIONS AND REPRESENTATIONS OF CEREBRAL CORTEXR01MH060974 · NIMH · WASHINGTON UNIVERSITY · PI VAN ESSEN, DAVID C · 1999 to 2024
$12.7M
Connectome Coordination FacilityR24MH108315 · NIMH · WASHINGTON UNIVERSITY · PI MARCUS, DANIEL SCOTT, VAN ESSEN, DAVID C · 2015 to 2019
$5.7M
Non-invasive Multi-modal Parcellation of the Human Cerebral CortexF30MH097312 · NIMH · WASHINGTON UNIVERSITY · PI GLASSER, MATTHEW FREDERICK · 2012 to 2014
$105k
NCATS NIH HHS UL1 TR001863NIMH NIH HHS F30 MH097312NIMH NIH HHS R01 MH060974NIMH NIH HHS R24 MH108315
6 · The paper itself

Abstract

The preprocessing pipelines of the Human Connectome Project (HCP) were made publicly available for the neuroimaging community to apply the HCP analytic approach to data from non-HCP sources. The HCP analytic approach is surface-based for the cerebral cortex, uses the CIFTI "grayordinate" file format, provides greater statistical sensitivity than traditional volume-based analysis approaches, and allows for a more neuroanatomically-faithful representation of data. However, the HCP pipelines require the acquisition of specific images (namely T2w and field map) that historically have often not been acquired. Massive amounts of this 'legacy' data could benefit from the adoption of HCP-style methods. However, there is currently no published framework, to our knowledge, for adapting HCP preprocessing to "legacy" data. Here we present the ciftify project, a parsimonious analytic framework for adapting key modules from the HCP pipeline into existing structural workflows using FreeSurfer's recon_all structural and existing functional preprocessing workflows. Within this framework, any functional dataset with an accompanying (i.e. T1w) anatomical data can be analyzed in CIFTI format. To simplify usage for new data, the workflow has been bundled with fMRIPrep following the BIDS-app framework. Finally, we present the package and comment on future neuroinformatics advances that may accelerate the movement to a CIFTI-based grayordinate framework.

Indexed as

BrainConnectomeHumansImage Processing, Computer-AssistedMagnetic Resonance ImagingNeuroimaging

Identifiers

PMID31091476
PMCPMC6675413

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

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.