Applying fMRI complexity analyses to the single subject: a case study for proposed neurodiagnostics

Neurocase. 2017 Apr;23(2):120-137. doi: 10.1080/13554794.2017.1316410. Epub 2017 May 31.

Abstract

Nonlinear dynamic tools have been statistically validated at the group level to identify subtle differences in system wide regulation of brain meso-circuits, often increasing clinical sensitivity over conventional analyses alone. We explored the feasibility of extracting information at the single-subject level, illustrating two pairs of healthy individuals with psychological differences in stress reactivity. We applied statistical and nonlinear dynamic tools to capture key characteristics of the prefrontal-limbic loop. We compared single subject results with statistical results for the larger group. We concluded that complexity analyses may identify important differences at the single-subject level, supporting their potential towards neurodiagnostic applications.

Keywords: Stress reactivity; fMRI; power spectrum scale invariance; principal components; single-subject analysis.

MeSH terms

  • Acoustic Stimulation
  • Brain / diagnostic imaging*
  • Brain Mapping*
  • Datasets as Topic
  • Humans
  • Image Processing, Computer-Assisted
  • Magnetic Resonance Imaging / methods*
  • Neural Pathways / diagnostic imaging*
  • Neural Pathways / physiology
  • Nonlinear Dynamics
  • Oxygen / blood
  • Photic Stimulation
  • Stress, Psychological / diagnostic imaging*
  • Systems Analysis
  • Time Factors

Substances

  • Oxygen