Evidence map›Paper›PMID 42211873›Full record

ArticlePLOS complex systems2025

Energy landscape analysis based on the Ising model: Tutorial review.

Naoki Masuda, Saiful Islam, Si Thu Aung, Takamitsu Watanabe

Abstract read
In one paragraph

Article in PLOS complex systems, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Temporal stability of functional network configurations and its relationship to cognition and psychopathology in early psychoses.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2026
    Article
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  5. Review
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  12. Observational
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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

4 authors.

Naoki MasudaDepartment of Mathematics, State University of New York at Buffalo.
Saiful IslamInstitute for Artificial Intelligence and Data Science, State University of New York at Buffalo.
Si Thu AungDepartment of Mathematics, State University of New York at Buffalo.
Takamitsu WatanabeInternational Research Centre for Neurointelligence, The University of Tokyo, Japan.

Funding

DMS/NIGMS 1: Multilayer network approach to tandem repeat variation in genomesR01GM148973 · NIGMS · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI MASUDA, NAOKI · 2022 to 2024
$444k
NIGMS NIH HHS R01 GM148973
6 · The paper itself

Abstract

We review a class of energy landscape analysis method that uses the Ising model and takes multivariate time series data as input. The method allows one to capture dynamics of the data as trajectories of a ball from one basin to a different basin to yet another, constrained on the energy landscape specified by the estimated Ising model. While this energy landscape analysis has mostly been applied to functional magnetic resonance imaging (fMRI) data from the brain for historical reasons, there are emerging applications outside fMRI data and neuroscience. To inform such applications in various research fields, this review paper provides a detailed tutorial on each step of the analysis, terminologies, concepts underlying the method, and validation, as well as recent developments of extended and related methods.

Identifiers

PMID42211873
PMCPMC13215579

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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.