Evidence map›Paper›PMID 38260447›Full record

ArticlebioRxiv : the preprint server for biology2025

Untamed: Unconstrained Tensor Decomposition and Graph Node Embedding for Cortical Parcellation.

Yijun Liu, Jian Li, Jessica L Wisnowski, Richard M Leahy

Abstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Yijun LiuMing Hsieh Department of Electrical and Computer Engineering, University of Southern California, Los Angeles, CA, USA.ORCID 0000-0003-1104-9056
Jian LiAthinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA, USA.ORCID 0000-0002-1691-8727
Jessica L WisnowskiRadiology and Pediatrics, Division of Neonatology, Children's Hospital Los Angeles, Los Angeles, CA, USA.ORCID 0000-0002-4039-8362
Richard M LeahyMing Hsieh Department of Electrical and Computer Engineering, University of Southern California, Los Angeles, CA, USA.ORCID 0000-0002-7278-5471

Funding

Mapping the Human Connectome: Structure, Function, and HeritabilityU54MH091657 · NIMH · WASHINGTON UNIVERSITY · PI UGURBIL, KAMIL, VAN ESSEN, DAVID C · 2010 to 2014
$34.7M
Interactive software for semiautomated analysis of structural brain imagesR01NS074980 · NINDS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI LEAHY, RICHARD M, SHATTUCK, DAVID W · 2011 to 2021
$5.0M
NIMH NIH HHS U54 MH091657NINDS NIH HHS R01 NS074980
6 · The paper itself

Abstract

Cortical parcellation is fundamental to neuroscience, enabling the division of cerebral cortex into distinct, non-overlapping regions to support interpretation and comparison of complex neuroimaging data. Although extensive literature has investigated cortical parcellation and its connection to functional brain networks, the optimal spatial features for deriving parcellations from resting-state fMRI (rsfMRI) remain unclear. Traditional methods such as Independent Component Analysis (ICA) have been widely used to identify large-scale functional networks, while other approaches define disjoint cortical parcellations. However, bridging these perspectives through effective feature extraction remains an open challenge. To address this, we introduce

Indexed as

Cortical parcellationGraph representation learningResting-state fMRITemporal synchronizationTensor decomposition

Identifiers

PMID38260447
PMCPMC10802375

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.