Evidence map›Paper›PMID 38260265›Full record

ArticlebioRxiv : the preprint server for biology2024

Assessing White Matter Engagement in Brain Networks through Functional and Structural Connectivity Mapping.

Muwei Li, Kurt G Schilling, Zhaohua Ding, John C Gore

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2024. 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.

Muwei LiVanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, USA.ORCID 0000-0003-3596-9287
Kurt G SchillingVanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, USA.ORCID 0000-0003-3686-7645
Zhaohua DingVanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, USA.
John C GoreVanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, USA.

Funding

Mapping the Human Connectome: Structure, Function, and HeritabilityU54MH091657 · NIMH · WASHINGTON UNIVERSITY · PI UGURBIL, KAMIL, VAN ESSEN, DAVID C · 2010 to 2014
$34.7M
MAPPING THE HUMAN CONNECTOME DURING TYPICAL AGINGU01AG052564 · NIA · WASHINGTON UNIVERSITY · PI SALAT, DAVID H, TERPSTRA, MELISSA J · 2016 to 2020
$18.9M
Biophysical basis of functional MRI of white matterR01NS113832 · NINDS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI GORE, JOHN C · 2020 to 2024
$2.4M
Functional Connectome of Brain White MatterR01NS129855 · NINDS · VANDERBILT UNIVERSITY · PI ZHAOHUA DING · 2023 to 2026
$1.9M
Secondary analysis of functional MRI and resting state connectivity in white matterRF1MH123201 · NIMH · VANDERBILT UNIVERSITY MEDICAL CENTER · PI GORE, JOHN C, LANDMAN, BENNETT A. · 2021 to 2021
$1.3M
Microstructure and connectivity modeling from the cortex to the spinal cord in Multiple SclerosisK01EB032898 · NIBIB · VANDERBILT UNIVERSITY MEDICAL CENTER · PI SCHILLING, KURT G · 2022 to 2025
$630k
NIA NIH HHS U01 AG052564NIBIB NIH HHS K01 EB032898NIMH NIH HHS RF1 MH123201NIMH NIH HHS U54 MH091657NINDS NIH HHS R01 NS113832NINDS NIH HHS R01 NS129855
6 · The paper itself

Abstract

Understanding the intricate interplay between gray matter (GM) and white matter (WM) is crucial for deciphering the complex activities of the brain. While diffusion tensor imaging (DTI) has advanced the mapping of these structural pathways, the relationship between structural connectivity (SC) and functional connectivity (FC) remains inadequately understood. This study addresses the need for a more integrative approach by mapping the importance of the inter-GM functional link to its structural counterparts in WM. This mapping yields a spatial distribution of engagement that is not only highly reproducible but also aligns with direct structural, functional, and bioenergetic measures within WM, illustrating a notable interdependence between the function of GM and the characteristics of WM. Additionally, our research has uncovered a set of unique engagement modes through a clustering analysis of window-wise engagement maps, highlighting the dyanmic nature of the engagement. The engagement along with their temporal variations revealed significant differences across genders and age groups. These findings suggest the potential of WM engagement as a biomarker for neurological and cognitive conditions, offering a more nuanced understanding of individualized brain activity and connectivity patterns.

Identifiers

PMID38260265
PMCPMC10802343

What OpenQuestion holds

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LicenceCC BY-ND
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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.