Evidence map›Paper›PMID 38800648›Full record

ArticleArXiv2024

Topological Embedding of Human Brain Networks with Applications to Dynamics of Temporal Lobe Epilepsy.

Moo K Chung, Ji Bi Che, Veena A Nair, Camille Garcia Ramos, Jedidiah Ray Mathis, Vivek Prabhakaran, Elizabeth Meyerand, Bruce P Hermann, Jeffrey R Binder, Aaron F Struck

Abstract readPreprint
PubMed Full text at PMC
In one paragraph

Article in ArXiv, 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

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.

Moo K ChungDepartment of Biostatistics and Medical Informatics, University of Wisconsin, Madison, WI, USA.
Ji Bi CheOpenAI, San Francisco, USA.
Veena A NairDepartment of Radiology, University of Wisconsin-Madison, USA.
Camille Garcia RamosDepartment of Neurology, University of Wisconsin-Madison, USA.
Jedidiah Ray MathisDepartment of Neurology, Medical College of Wisconsin, USA.
Vivek PrabhakaranDepartment of Radiology, University of Wisconsin-Madison, USA.
Elizabeth MeyerandDepartments of Medical Physics & Biomedical Engineering, University of Wisconsin-Madison, USA.
Bruce P HermannDepartment of Neurology, University of Wisconsin-Madison, USA.
Jeffrey R BinderDepartment of Neurology, Medical College of Wisconsin, USA.
Aaron F StruckDepartment of Neurology, University of Wisconsin-Madison, USA.

Funding

The Epilepsy Connectome ProjectU01NS093650 · NINDS · MEDICAL COLLEGE OF WISCONSIN · PI BINDER, JEFFREY R, MEYERAND, MARY E. · 2015 to 2018
$5.1M
PET/MR Correlates of Accelerated Aging in Chronic EpilepsyR01NS117568 · NINDS · UNIVERSITY OF WISCONSIN-MADISON · PI Alan Blair McMillan, Vivek Prabhakaran · 2021 to 2026
$3.0M
Dynamic embedding time series models in functional brain imagingR01MH133614 · NIMH · UNIVERSITY OF WISCONSIN-MADISON · PI MOO K CHUNG · 2023 to 2026
$1.4M
Dynamic manifold-valued time series model in functional brain imagingR01EB028753 · NIBIB · UNIVERSITY OF WISCONSIN-MADISON · PI CHUNG, MOO K · 2020 to 2022
$942k
NIBIB NIH HHS R01 EB028753NIMH NIH HHS R01 MH133614NINDS NIH HHS R01 NS117568NINDS NIH HHS U01 NS093650
6 · The paper itself

Abstract

We introduce a novel, data-driven topological data analysis (TDA) approach for embedding brain networks into a lower-dimensional space in quantifying the dynamics of temporal lobe epilepsy (TLE) obtained from resting-state functional magnetic resonance imaging (rs-fMRI). This embedding facilitates the orthogonal projection of 0D and 1D topological features, allowing for the visualization and modeling of the dynamics of functional human brain networks in a resting state. We then quantify the topological disparities between networks to determine the coordinates for embedding. This framework enables us to conduct a coherent statistical inference within the embedded space. Our results indicate that brain network topology in TLE patients exhibits increased rigidity in 0D topology but more rapid flections compared to that of normal controls in 1D topology.

Identifiers

PMID38800648
PMCPMC11118617

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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.