Neurophysiological Predictors of Team Performance

  • Robin R. Johnson
  • Chris Berka
  • David Waldman
  • Pierre Balthazard
  • Nicola Pless
  • Thomas Maak
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8027)


Objective: To identify benchmark neurophysiological measures that predict performance at a teaming level. Advanced Brain Monitoring has a track record of success in identifying neurophysiological metrics that impact expert behavior. For example, we characterized negative and positive predictors for marksmanship skill; persons with higher HF:LF Norm metrics of Heart rate variability (HRV, an indication of anxiety) during a benchmarking auditory passive vigilance task did not achieve expert marksman performance while those with above average visuospatial processing ability achieved greater levels of expertise. In the current research, we explored the ability of benchmark neurophysiological metrics to predict team performance in two large scale studies. Significance: Identifying neurophysiological metrics of teaming ability and performance as part of a team can provide potential screening mechanisms or developmental data to help build optimal teams and improve team interactions for different types of contexts in which teams may operate.


leadership neurophysiology qEEG prediction 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Robin R. Johnson
    • 1
  • Chris Berka
    • 1
  • David Waldman
    • 2
  • Pierre Balthazard
    • 3
  • Nicola Pless
    • 4
  • Thomas Maak
    • 4
  1. 1.Advanced Brain Monitoring, Inc.CarlsbadUSA
  2. 2.W.P. Carey School of BusinessArizona State UniversityUSA
  3. 3.School of BusinessSt. Bonaventure UniversityUSA
  4. 4.ESADE Business SchoolRamon Llull UniversitySpain

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