Evidence map›Paper›PMID 40605715›Full record

ArticleHuman brain mapping2025

Analysis of Longitudinal Change Patterns in Developing Brain Using Functional and Structural Magnetic Resonance Imaging via Multimodal Fusion.

Rekha Saha, Debbrata K Saha, Zening Fu, Marlena Duda, Rogers F Silva, Tony W Wilson, Yu-Ping Wang, Julia M Stephen, Vince D Calhoun

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Human brain mapping, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Rekha SahaTri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS) Georgia State University, Georgia Institute of Technology, and Emory University, Atlanta, Georgia, USA.ORCID 0000-0001-9382-2609
Debbrata K SahaTri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS) Georgia State University, Georgia Institute of Technology, and Emory University, Atlanta, Georgia, USA.ORCID 0000-0003-0754-7570
Zening FuTri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS) Georgia State University, Georgia Institute of Technology, and Emory University, Atlanta, Georgia, USA.
Marlena DudaTri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS) Georgia State University, Georgia Institute of Technology, and Emory University, Atlanta, Georgia, USA.ORCID 0000-0003-2369-2225
Rogers F SilvaTri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS) Georgia State University, Georgia Institute of Technology, and Emory University, Atlanta, Georgia, USA.ORCID 0000-0002-7271-1288
Tony W WilsonInstitute for Human Neuroscience, Boys Town National Research Hospital, Omaha, Nebraska, USA.ORCID 0000-0002-5053-8306
Yu-Ping WangDepartment of Biomedical Engineering, Tulane University, New Orleans, Louisiana, USA.
Julia M StephenMind Research Network, Albuquerque, New Mexico, USA.ORCID 0000-0003-2486-747X
Vince D CalhounTri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS) Georgia State University, Georgia Institute of Technology, and Emory University, Atlanta, Georgia, USA.

Funding

Stress-Induced Aberrations in the Mitochondrial Redox Environment Impact Developing Neural Circuits Supporting Cognitive ControlP20GM144641 · NIGMS · FATHER FLANAGAN'S BOYS' HOME · PI Rachel K. Spooner · 2022 to 2026
$15.1M
DEVELOPMENTAL MULTIMODAL IMAGING OF NEUROCOGNITIVE DYNAMICS (DEV-MIND)R01MH121101 · NIMH · UNIVERSITY OF NEBRASKA MEDICAL CENTER · PI WILSON, TONY W · 2019 to 2023
$5.8M
Data-driven solutions for temporal, spatial, and spatiotemporal dynamic functional connectivityR01MH123610 · NIMH · GEORGIA STATE UNIVERSITY · PI ADALI, TULAY, CALHOUN, VINCE D · 2021 to 2025
$3.1M
Flexible multivariate models for linking multi-scale connectome and genome data in Alzheimer’s disease and related disordersR01AG090597 · NIA · GEORGIA STATE UNIVERSITY · PI VINCE D CALHOUN, Jingyu Liu · 2025 to 2026
$1.6M
National Science Foundation 2112455NIA NIH HHS R01 AG090597NIGMS NIH HHS P20 GM144641NIH HHS R01MH123610NIMH NIH HHS R01 MH121101NIMH NIH HHS R01 MH123610
6 · The paper itself

Abstract

Functional and structural magnetic resonance imaging (fMRI and sMRI) are complementary approaches that can be used to study longitudinal brain changes in adolescents. Each individual modality offers distinct insights into the brain. However each individual modality may overlook crucial aspects of brain analysis. By combining them, we can uncover hidden brain connections and gain a more comprehensive understanding. In previous work, we identified multivariate patterns of change in whole-brain function during adolescence. In this work, we focus on linking functional change patterns (FCPs) to brain structure. We introduced two approaches and applied them to data from the adolescent brain and cognitive development (ABCD) dataset. First, we evaluate voxel-wise sMRI-

Indexed as

Adolescent DevelopmentBrainConnectomeMagnetic Resonance ImagingMultimodal ImagingNerve NetAdolescentFemaleGray MatterHumansLongitudinal StudiesMale

Identifiers

PMID40605715
PMCPMC12223545

What OpenQuestion holds

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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.