Evidence map›Paper›PMID 41987934›Full record

ArticleMedical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention2026

BiSCoT: Behavior-Informed Subgroup-Consistent Connectome Template for Interpretable Brain Network Analysis.

Zijian Chen, Stefen Beeler-Duden, Sophie Lawson, Zachary Jacokes, John Darrell Van Horn, Kevin A Pelphrey, Archana Venkataraman

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention, 2026. 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

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

7 authors.

Zijian ChenDepartment of Electrical and Computer Engineering, Boston University.
Stefen Beeler-DudenDepartment of Psychology, University of Virginia.
Sophie LawsonCenter for Healthy Brain Development, University of Virginia.
Zachary JacokesSchool of Data Science, University of Virginia.
John Darrell Van HornDepartment of Psychology, University of Virginia.
Kevin A PelphreyDepartment of Neurology, University of Virginia.
Archana VenkataramanDepartment of Electrical and Computer Engineering, Boston University.

Funding

Statistical methods for structural and functional integration in multi-modal neuroimaging dataR01EB029977 · NIBIB · JOHNS HOPKINS UNIVERSITY · PI CAFFO, BRIAN SCOTT · 2021 to 2024
$1.9M
A Modular Framework for Data-Driven Neurogenetics to Predict Complex and Multidimensional Autistic PhenotypesR01HD108790 · NICHD · JOHNS HOPKINS UNIVERSITY · PI Archana Venkataraman · 2022 to 2026
$1.9M
Machine Learning Methods for Predicting Post-Stroke Aphasia and Language RecoveryR01DC022565 · NIDCD · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI Swathi Kiran, Archana Venkataraman · 2025 to 2026
$1.3M
NIBIB NIH HHS R01 EB029977NICHD NIH HHS R01 HD108790NIDCD NIH HHS R01 DC022565
6 · The paper itself

Abstract

We propose a graph information compression framework, called

Indexed as

Adaptive ConnectomicsGraph Neural NetworksMultimodal FusionNeurobehavioral SignatureResting-state fMRI

Identifiers

PMID41987934
PMCPMC13078116

What OpenQuestion holds

Textmetadata
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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.