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Personal profile

Biography

Ben Fulcher is an NHMRC early career fellow at Brain and Mental Health Laboratory (BMH) in the School of Psychological Sciences, working with A/Prof Alex Fornito. His research draws on his background in physics-based modeling of biological systems, time-series analysis, and machine learning to aid understanding of brain connectivity. Ben works on time-series structure and brain connectivity in schizophrenia and the interplay between gene expression and connectivity.

Ben Fulcher completed a B.Sc. (Adv) (Hons) at the University of Sydney with majors in Physics and Nanoscience and Technology in 2007. He went on to obtain an M.Sc. in the School of Physics at the University of Sydney in 2008 on the topic of physiologically-based modeling of sleep-wake dynamics. This work focused on extending a neuronal population-based model of the sleep-wake switch, and using it to simulate such phenomena as sleep deprivation, impulsive external stimuli, and the effect of caffeine. Dr Fulcher went on to complete a DPhil at the University of Oxford in 2012 on highly comparative time-series analysis. This work involved comparing thousands of time series collected and synthesized across the scientific disciplines, and the behavior of thousands of time-series analysis methods on these data. The research has culminated in a collaborative online platform for time-series analysis that can be found at www.comp-engine.org/timeseries.

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Keywords

  • community detection
  • connectome
  • dynamical models
  • machine learning
  • network analysis
  • sleep
  • time series
  • time-series analysis

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Projects 2014 2018

LABORATORY-BASED DEVELOPMENT OF SYSTEMS AND BIOMARKERS TO ASSESS CIRCADIAN, SLEEP AND ALERTNESS STATES.

Anderson, C., Wilson Rajaratnam, S. M., Lockley, S., Cain, S., Gilbert, A., Maxik, F., Ftouni, S., Reynolds, K. J., Randhawa, S., Howard, M., Fulcher, B. D., Robinson, P. A., Smith, A. I., Gooley, J., Vakulin, A., D'Rozario, A., Dalton, C., Maruff, P. T., Irwin, B., Hocking, C., Pittman, S., Walker, J. & Tierney, P.

1/07/1430/06/17

Project: Research

Research Output 2008 2018

An evaluation of the efficacy, reliability, and sensitivity of motion correction strategies for resting-state functional MRI

Parkes, L., Fulcher, B., Yücel, M. & Fornito, A. 1 May 2018 In : NeuroImage. 171, p. 415-436 22 p.

Research output: Contribution to journalArticleResearchpeer-review

Biophysical modeling of neural plasticity induced by transcranial magnetic stimulation

Wilson, M. T., Fulcher, B. D., Fung, P. K., Robinson, P. A., Fornito, A. & Rogasch, N. C. 1 Jun 2018 In : Clinical Neurophysiology. 129, 6, p. 1230-1241 12 p.

Research output: Contribution to journalReview ArticleResearchpeer-review

Hub connectivity, neuronal diversity, and gene expression in the Caenorhabditis elegans connectome

Arnatkeviciute, A., Fulcher, B. D., Pocock, R. & Fornito, A. 12 Feb 2018 In : PLoS Computational Biology. 14, 2, 32 p., e1005989

Research output: Contribution to journalArticleResearchpeer-review

Open Access
File

Predicting depression from language-based emotion dynamics: Longitudinal analysis of facebook and twitter status updates

Seabrook, E. M., Kern, M. L., Fulcher, B. D. & Rickard, N. S. 1 May 2018 In : Journal of Medical Internet Research. 20, 5, 17 p., e168

Research output: Contribution to journalArticleResearchpeer-review

Open Access
File

Responders to rTMS for depression show increased fronto-midline theta and theta connectivity compared to non-responders

Bailey, N. W., Hoy, K. E., Rogasch, N. C., Thomson, R. H., McQueen, S., Elliot, D., Sullivan, C. M., Fulcher, B. D., Daskalakis, Z. J. & Fitzgerald, P. B. 1 Jan 2018 In : Brain Stimulation. 11, 1, p. 190-203 14 p.

Research output: Contribution to journalArticleResearchpeer-review