Evidence map›Paper›PMID 33345271›Full record

ArticleCerebral cortex (New York, N.Y. : 1991)2021

Transdiagnostic, Connectome-Based Prediction of Memory Constructs Across Psychiatric Disorders.

Daniel S Barron, Siyuan Gao, Javid Dadashkarimi, Abigail S Greene, Marisa N Spann, Stephanie Noble, Evelyn M R Lake, John H Krystal, R Todd Constable, Dustin Scheinost

Abstract read
In one paragraph

Article in Cerebral cortex (New York, N.Y. : 1991), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 1 pooled it
–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.

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

34 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  11. Connectome-based fingerprinting: reproducibility, precision, and behavioral prediction.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2024
    Review
  12. Article
  13. Brain-phenotype predictions can survive across diverse real-world data.bioRxiv : the preprint server for biology · 2024
    Article
  14. Rescuing missing data in connectome-based predictive modeling.Imaging neuroscience (Cambridge, Mass.) · 2024
    Article
  15. Article
  16. The effects of data leakage on connectome-based machine learning models.bioRxiv : the preprint server for biology · 2023
    Article
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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.

Daniel S BarronDepartment of Psychiatry, Yale School of Medicine, New Haven, CT 06510, USA.
Siyuan GaoDepartment of Biomedical Engineering, Yale School of Engineering and Applied Science, New Haven, CT 06520, USA.
Javid DadashkarimiDepartment of Computer Science, Yale University, New Haven, CT 06520, USA.
Abigail S GreeneInterdepartmental Neuroscience Program, Yale University, New Haven, CT 06520, USA.
Marisa N SpannIrving Medical Center, Columbia University, New York, NY 10032, USA.
Stephanie NobleDepartment of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT 06520, USA.
Evelyn M R LakeDepartment of Neurosurgery, Yale School of Medicine, New Haven, CT 06520, USA.
John H KrystalDepartment of Psychiatry, Yale School of Medicine, New Haven, CT 06510, USA.
R Todd ConstableDepartment of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT 06520, USA.
Dustin ScheinostDepartment of Biomedical Engineering, Yale School of Engineering and Applied Science, New Haven, CT 06520, USA.

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
Clinical Neuroscience Research Training Program in PsychiatryT32MH019961 · NIMH · YALE UNIVERSITY · PI Christopher John Pittenger · 1996 to 2026
$5.9M
Multi-context software for robust and reproducible neuroscience image analysisR24MH114805 · NIMH · YALE UNIVERSITY · PI PAPADEMETRIS, XENOPHON, SCHEINOST, DUSTIN · 2017 to 2019
$1.2M
NCATS NIH HHS UL1 TR001863NIMH NIH HHS R24 MH114805NIMH NIH HHS T32 MH019961
6 · The paper itself

Abstract

Memory deficits are observed in a range of psychiatric disorders, but it is unclear whether memory deficits arise from a shared brain correlate across disorders or from various dysfunctions unique to each disorder. Connectome-based predictive modeling is a computational method that captures individual differences in functional connectomes associated with behavioral phenotypes such as memory. We used publicly available task-based functional MRI data from patients with schizophrenia (n = 33), bipolar disorder (n = 34), attention deficit hyper-activity disorder (n = 32), and healthy controls (n = 73) to model the macroscale brain networks associated with working, short- and long-term memory. First, we use 10-fold and leave-group-out analyses to demonstrate that the same macroscale brain networks subserve memory across diagnostic groups and that individual differences in memory performance are related to individual differences within networks distributed throughout the brain, including the subcortex, default mode network, limbic network, and cerebellum. Next, we show that diagnostic groups are associated with significant differences in whole-brain functional connectivity that are distinct from the predictive models of memory. Finally, we show that models trained on the transdiagnostic sample generalize to novel, healthy participants (n = 515) from the Human Connectome Project. These results suggest that despite significant differences in whole-brain patterns of functional connectivity between diagnostic groups, the core macroscale brain networks that subserve memory are shared.

Indexed as

ConnectomeMemoryAdultAssociationAttention Deficit Disorder with HyperactivityBipolar DisorderBrainFemaleFunctional NeuroimagingHumansMagnetic Resonance ImagingMaleMemory, Short-TermMental DisordersSchizophreniaSpatial Memory(<5): predictionfunctional connectivitymachine learningpsychiatrytransdiagnostic

Identifiers

PMID33345271
PMCPMC8023861

What OpenQuestion holds

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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.