Craig E. Tenke, PhD

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Academic Appointments

  • Associate Research Scientist

Craig Tenke is the principal electrophysiologist of the Psychophysiology laboratory, Div. Cognitive Neuroscience. The most widely studied brain potential associated with cognitive function, the P3 component, was discovered by the founder of the laboratory, the late Samuel Sutton. The laboratory continues its studies of cognitive ERPs, quantitative EEG (qEEG), and behavioral measures of brain activity and laterality in psychiatric patients and healthy controls populations.

Dr. Tenke began his work in electrophysiology as an undergraduate, recording event-related potentials (ERPs) in macaques at SUNY Stony Brook. As a graduate student, he studied the spectral correlates of brainstem stimulation in the limbic system of the rat, and began his affiliation with the Psychophysiology Laboratory, NYSPI. Dr. Tenke subsequently completed a postdoctoral traineeship in Neuroscience at Albert Einstein College of Medicine (intracranial ERP generators in macaques).

Since his return, he has been critically involved in all electrophysiological aspects of the lab (i.e., experimental design, oversight of data acquisition and processing, data analysis, data interpretation, writeup of findings and grants, development of new methods). He has developed and implemented mathematical and statistical models for identifying and quantifying the neuroanatomical generators underlying observed patterns of electrophysiological activity (ERP and EEG).


Primary interest is the study of information processing by the brain, and its disruption with psychopathology. Electrophysiological components (ERP and EEG) are used to identify and quantify temporal, spectral and spatial patterns of activity in underlying neuroanatomical structures. Recently developed CSD-PCA methods (current source density- principal components analysis) exploit the biophysical and statistical properties of volume conduction to simplify and reduce the redundancy of data recorded from high density montages.

Application of CSD-PCA methods to identify and evaluate the impact of psychopathology (depression and schizophrenia) on brain function and performance. In addition to resting EEG measures, studies include the response to loudness, deviance, and novelty of sounds, the response to odors, and memory.

Research Interests

  • electrophysiology
  • cognitive neuroscience
  • psychophysiology

Selected Publications

  • Tenke CE, Kayser J: Generator localization by current source density (CSD): Implications of volume conduction and field closure at intracranial and scalp resolutions. Clinical Neurophysiology 2012;123: 2328-2345
  • Tenke CE, Kayser J, Manna CBG, Fekri S, Kroppmann CJ, Schaller JD, Alschuler DM, Bruder GE: Current source density measures of EEG alpha predict antidepressant treatment response. Biological Psychiatry 2011;70: 388-394
  • Tenke CE, Kayser J, Stewart JW, Bruder GE: Novelty P3 reductions in depression: characterization using principal components analysis(PCA) of current source density (CSD) waveforms. Psychophysiology 2010;47: 133-146
  • Kayser J, Tenke CE : Principal components analysis of Laplacian waveforms as a generic method for identifying ERP generator patterns: I. Evaluation with auditory oddball tasks. Clinical Neurophysiology 2006;117: 348-368
  • Tenke CE, Kayser J: Reference-free quantification of EEG spectra: combining current source density (CSD) and frequency principal components analysis (fPCA) . Clinical Neurophysiology 2005;116: 2826-2846