TY - JOUR
T1 - Energy landscape analysis based on the Ising model
T2 - Tutorial review
AU - Masuda, Naoki
AU - Islam, Saiful
AU - Aung, Si Thu
AU - Watanabe, Takamitsu
N1 - Publisher Copyright:
© 2025 Masuda et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
PY - 2025/5
Y1 - 2025/5
N2 - 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.
AB - 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.
UR - https://www.scopus.com/pages/publications/105028162004
U2 - 10.1371/journal.pcsy.0000039
DO - 10.1371/journal.pcsy.0000039
M3 - Review article
AN - SCOPUS:105028162004
SN - 1932-6203
VL - 2
JO - PLOS ONE
JF - PLOS ONE
IS - 5 May
M1 - e0000039
ER -