560
Views
0
CrossRef citations to date
0
Altmetric
Computational life sciences, Bioinformatics and System Biology

Identifying critical transitions in major depression with fuzzy recurrence entropy

ORCID Icon
Pages 1086-1100 | Received 14 May 2021, Accepted 08 Aug 2022, Published online: 11 Oct 2022

References

  • Angeli D, Ferrell JE, Sontag ED. 2004. Detection of multistability, bifurcations, and hysteresis in a large class of biological positive-feedback systems,. Proc Natl Acad Sci USA. 101:1822–1827.
  • Bezdek JC. 1981. Pattern recognition with fuzzy objective function algorithms. New York: Plenum Press.
  • Bos EH, De Jonge P. 2014. ‘Critical slowing down in depression’ is a great idea that still needs empirical proof. Proc Natl Acad Sci USA. 111:E878.
  • Cramer Angélique OJ, van Borkulo CD, Giltay EJ, van der Maas HLJ, Kendler KS, Scheffer M, Borsboom D, Branchi I. 2016. Major depression as a complex dynamic system. PLoS ONE. 11:e0167490.
  • Eckmann JP, Kamphorst SO, Ruelle D. 1987. Recurrence plots of dynamical systems. Europhys Lett. 4:973–977.
  • Killick R, Fearnhead P, Eckley IA. 2012. Optimal detection of changepoints with a linear computational cost. J Am Stat Assoc. 107:1590–1598.
  • Kossakowski JJ, Groot PC, Haslbeck JMB, Borsboom D, Wichers M. 2017. Data from ‘Critical slowing down as a personalized early warning signal for depression’. J Open Psychol Data. 5:1.
  • Kunkels YK, Riese H, Knapen SE, Riemersma–van der Lek RF, George SV, van Roon AM, Schoevers RA, Wichers M. 2021. Efficacy of early warning signals and spectral periodicity for predicting transitions in bipolar patients: an actigraphy study. Transl Psychiatry. 11:350.
  • Marwan N, Carmenromano M, Thiel M, Kurths J. 2007. Recurrence plots for the analysis of complex systems. Phys Rep. 438:237–329.
  • Olthof M, Hasselman F, Strunk G, van Rooij M, Aas B, Helmich MA, Günter S, Lichtwarck-Aschoff A. 2020. Critical fluctuations as an early-warning signal for sudden gains and losses in patients receiving psychotherapy for mood disorders. Clin Psychol Sci. 8:25–35.
  • Pham TD. 2016. Fuzzy recurrence plots. EPL. 116:50008.
  • Pham TD. 2020a. Fuzzy recurrence entropy. EPL. 130:40004.
  • Pham TD. 2020b. The recurrence dynamics of personalized depression, Proceedings Australasian Computer Science Week (ACSW' 20); New York, NY, USA: ACM. p. 8.
  • Scheffer M, Bascompte J, Brock WA, Brovkin V, Carpenter SR, Dakos V, Held H, van Nes EH, Rietkerk M, Sugihara G. 2009. Early-warning signals for critical transitions. Nature. 461:53–59.
  • Scheffer M, Carpenter SR, Lenton TM, Bascompte J, Brock W, Dakos V, van de Koppel J, IA van de Leemput, Levin SA, van Nes EH, Pascual M, Vandermeer J. 2012. Anticipating critical transitions. Science. 338:344–348.
  • van de Leemput IA, Wichers M, Cramer Angélique OJ, Borsboom D, Tuerlinckx F, Kuppens P, van Nes EH, Viechtbauer W, Giltay EJ, Aggen SH, Derom C, Jacobs N, Kendler KS, van der Maas HLJ, Neale MC, Peeters F, Thiery E, Zachar P, Scheffer M. 2014. Critical slowing down as early warning for the onset and termination of depression. Proc Natl Acad Sci USA. 111:87–92.
  • Wen H, Ciamarra MP, Cheong SA. 2018. How one might miss early warning signals of critical transitions in time series data: A systematic study of two major currency pairs. PLoS ONE. 13:e0191439.
  • Wichers M, Groot PC. 2016. Critical slowing down as a personalized early warning signal for depression. Psychother Psychosom. 85:114–116.
  • Zadeh LA. 1965. Fuzzy sets. Inf Control. 8:338–353.
  • Zadeh LA. 1971. Similarity relations and fuzzy orderings. Inf Sci. 3:177–200.