About Us


The Company

The Mission Mission of BrainDx is to provide automated QEEG reports to the medical arts professions worldwide in a comprehensive, timely, efficient and cost-effective manner. It is the belief of the partners that BrainDx, L.L.C. is uniquely positioned to offer this service in a manner that will revolutionize the delivery of meaningful interpretive reports from EEG data gathered by testing of patients.


BrainD L.L.C. is a model for Translational research. In this framework practitioners can help shape the research agenda by supplying real-world relevant criteria for difficult problems which may allow the translational system to outperform applied research. To flourish, translational research requires a knowledge-driven ecosystem, in which constituents generate, contribute, manage and analyze data available from all parts of the landscape. The goal is a continuous feedback loop to accelerate the translation of data into useful knowledge. Collaboration, data sharing, data integration and standards are very important.


Translational research requires that information and data flow from hospitals, clinics and study participants in an organized and structured format, to repositories and laboratories. By continuously structuring and integrating this data the Brain Research Laboratory of NYU (BRL) explores the complex and underlying causes of brain related dysfunction. BrainDx brings the practitioner into a relationship with BRL that will help accelerate productive use of knowledge at the cutting edge of science for effective prevention, early detection and personalized treatment.


Our Team

Chief Executive Officer: David S. Cantor, Ph.D.

Dr. David Cantor is the CEO and managing partner of BrainDx. He holds a Bachelors Degree with Distinction in Psychology from the University of Connecticut with Honors work in the field of neurophysiological correlates of cross modal integration processes in attention deficit disorders. He also holds Masters and Doctorates in Psychology at the State University of New York at Stony Brook where his dissertation work was on quantitative EEG correlates of Autism. He also holds a post-doctoral Masters of Science Degree in Psychopharmacology from Farleigh Dickinson University. He holds Diplomate or Fellow status with many clinical and research societies in the field of psychology and clinical neuroscience and has been a former President of the EEG and Clinical Neuroscience Society. He has been accepted for special fellowships including Congressional Fellow of the American Psychological Association and the State of New York Intercampus Fellow in the area of Brain Research. Dr. Cantor is among the pioneers in the clinical use of this technology and is a nationally recognized expert in the field. He uses the technology in his practice in Atlanta, Georgia now, and consults with other many professionals nationally and internationally to help them use the technology more effectively. He has overseen an estimated 20,000 clinical QEEG reports spanning many clinical applications in fields of neurotrauma, neurology, psychiatry, and neuropsychology. This experience gives him a somewhat unique perspective on the potential uses of the BrainDx technology, and his management experience with his own practice and a history of businesses using QEEG helps oversee the operations of BrainDx.

Chief Operations and Technology Officer: Adrian CM Van Deusen

Having worked in the field of applied psychophysiology and neurotherapies since 1995; first as an educational professional, then as a clinical supervisor, and since 2001 as a business owner as well as content creator, Adrian works to create test and commercialize physiological interfaces as applied by healthcare, education and artistic/athletic professionals through neurofeedback and biofeedback paradigms. He is a published scientific author from his experience in experiment design with doctoral candidates. His product focus is in digital signal processing applied to, game theory. and thus in quantifying the human experience. His 20 year career has thus far been a productive one in terms of fomenting growth and critical thinking in the fields of experimental and applied psychophysiology.

Adrian has joined the BrainDx core team with an experienced hand software development, from concept to coding and onward into the marketplace.

Chief Financial Officer: David Strickland Cantor

Graduated Georgia State University with dual bachelor’s degrees in Finance and Management Science.  He has served as a founding Treasurer of the Board of Directors for the Innovative Health Foundation, is on the Board of Directors for the Alexsander Academy School, and is currently the Administrative Director of Mental Health Services of the Mind and Motion Developmental Centers of Georgia clinic

Scientific Research Advisor: Leslie Prichep, Ph.D.

Dr. Leslie Prichep retired as Director of the Brain Research Laboratory, Department of Psychiatry, and Research Professor of Psychiatry at New York University, where also serve as Director of the Neurometric Evaluation Service of the Brain Research Laboratories at New York University and chair of the Phoenix House Foundation Institution Review Board. She is a Special Review Consultant to the National Institute of Drug Abuse. Having received the Wyeth-Ayerst Award for Distinction in Psychiatry conferred at the VIII World Congress of Psychiatry, Dr. Prichep is a member of numerous national and international professional and scholarly societies including the American Psychological Association, the American Society of Evoked Potential Monitoring, the College on Problems of Drug Dependence (CPDD), the International Academy for Research in Learning Disabilities, the International Organization of Psychophysiology, the International Society for Neuroimaging in Psychiatry and the New York Academy of Sciences. She is Editor of Clinical EEG and serves as ad hoc reviewer for numerous professional and scholarly publications. She serves on the Board of Directors of the International Pharmaco-EEG Society and the EEG & Clinical Neuroscience Society and serves as Chair of the Ph.D. Certification Committee of the EEG and Clinical Neuroscience Society. She has additionally received three patents in The Use of brain Electrophysiological Quantitative Data to classify and Subtype an Individual into Diagnostic Categories by Discriminate Cluster Analysis, Fetal Brain Monitor and System and Method for Guidance of Anesthesia, Analgesia and Amnesia. The author of over a hundred scholarly papers published in international scholarly journals, magazines and other publications, she has also authored twenty five books, reviews and book chapters, and many other proceedings, monographs, and published abstracts. She received her BS and MS degrees from the University of Pittsburgh and a Ph.D. in Experimental Psychopathology from The City University of New York

Research Consultant: Robert Chabot, Ph.D.

Dr. Robert Chabot is Research Associate Professor and was a member of the research staff at the Brain Research Laboratories, New York University School of Medicine for 24 years. He has been involved in researc63+5asdfQh designed to document the clinical utility of Quantitative EEG in neurological and psychiatric patient populations. Early work involved the use of QEEG to document brain dysfunction in patients with systemic lupus erythematosus, patients with reflex sympathetic dystrophy, and patients undergoing cardiopulmonary bypass surgery. More recently he has been involved in the development of QEEG as a clinical tool for aiding in the diagnosis and treatment of children with attention deficit disorder, learning disorders, and those with autistic spectrum disorder. This research has beenpublished in several major psychiatric and neurological journalsincluding; Biological Psychiatry, Journal of Child Neurology, and the Journal of Neuropsychiatry and Clinical Neurosciences. He has also been involved in the utilization of QEEG and evoked potentials to monitor brain and/or spinal cord function in patients undergoing a variety of neurosurgical procedures and has personally been involved in over 3000 surgical procedures. He was a research consultant and visiting professor at Brigham and Women’s Hospital in Boston for 7 years and is currently on staff at Monmouth Medical Center where he is in charge of intraoperative monitoring services. He received his Ph.D. in 1978 from the University of Kansas and completed 3 years of postdoctoral work in neurophysiology at the University of Missouri.

Past Consultancy: Robert Isenhart, Msc

Robert Isenhart has had a long and distinguished career in the development of medical technology. A past Head of Technology Development at the Brain Research Institute of New York University Medical School, he developed many of the operating functions of BrainDx. A Physics graduate of Ohio State University, he served internationally in the Electronic Intelligence Group of the US Army followed by physics research at Lawrence Berkeley Laboratories. He then spent 12 years in EEG research at the Psychophysiology Laboratory, Department of Psychiatry at the University of California, Irvine. Subsequently, at the Brain Research Laboratory of New York University Medical School, he further developed the formal measuring techniques and implemented these in the statistical analysis utilized in the development of the QEEG algorithms for the BrainDx prototypes.

Original Founder: E. Roy John

A pioneer in the use of quantitative electroencephalography (QEEG), Dr. John founded the Brain Research Laboratory at the School of Medicine in 1974 and served as its director for over three decades, working alongside his wife, Leslie Prichep-John, Ph.D., the lab’s associate director. He was also a research scientist at the Nathan S. Kline Institute for Psychiatric Research of the New York State Office of Mental Health. Dr. John was famous for his wide-ranging intellect and keen scientific insight, as well as for his warm heart and passionate interest in both humanity and the workings of the human brain. He is credited with inventing the field of neurometrics, which analyzes abnormal brain function by measuring the brain’s electrical activity


Background and History of Neurometrics and Norming

John ER, Karmel BZ, Corning WC, Easton P, Brown D, Ahn H, John M, Harmony T, Prichep LS, Toro A, Gerson I, Thatcher RW, Valdes P, Kaye H, Valdes P, Schwartz E. Neurometrics: Numerical taxonomy identifies different profiles of brain functions within groups of behaviorally similar people. Science 1977; 196: 1383-410.

John ER, Karmel BZ, Prichep LS, Ahn H, John M. Neurometrics applied to the quantitative electrophysiological measurement of organic brain dysfunction in children. In: Shagass C, ed. Psychopathology and Brain Dysfunction. Raven Press; 1977

John ER, Prichep LS, Ahn H, Easton P, Karmel BZ, Thatcher R, Toro A. Neurometrics: Quantitative electrophysiological measurement of organic brain dysfunction in children. In: Shagass C, ed. Psychopathology and Brain Dysfunction. Raven Press; 1977.

John ER, Karmel BZ, Corning, Easton P, Brown D, Ahn H, John M, Harmony T, Prichep LS, Toro A, Gerson I, Bartlett F, Thatcher R, Kaye H, Valdes-Sosa P, Schwartz E. Neurometrics: Computerized diagnosis and remediation of brain dysfunctions. In: Chacko GK, ed. Health Handbook. Amsterdam: N. Holland Publishing; 1979: 330-481.

Ahn H, Prichep LS, John ER, Baird H, Trepetin M, Kaye H. Developmental equations reflect brain dysfunction. Science 1980; 210: 1259-62.

John ER, Ahn H, Prichep LS, Trepetin M, Brown D, Kaye H.Developmental equations for the electroencephalogram.Science 1980; 210: 1255-8.

Ahn H, Prichep L, John ER. Electroencephalogram tests for brain dysfunction: A question of validity. Science 1982; 217: 82.

John ER, Prichep LS, Ahn H, Easton P, Fridman J, Kaye H. Neurometric evaluation of cognitive dysfunctions and neurological disorders in children. Progress in Neurobiology 1983; 21: 239-90.

Prichep LS, John ER.Neurometrics: Clinical Applications. In: Lopes Da Silva F, van Leeuwen WS, Remond A, eds. Handbook of Electroencephalography and Clinical Neurophysiology, Vol. 2. Amsterdam: Elsevier; 1986: 153-70.

John ER, Prichep LS, Easton P. Normative data banks and Neurometrics: Basic concepts, methods and results of norm construction. In: Gevins AS, Remond A, eds. Handbook of Electroencephalography and Clinical Neurophysiology, Vol. I. Amsterdam: Elsevier; 1987: 449-95.

Volkow ND, Gomez-Mont F, Inamdar M, Lamella M, Prichep L, John ER. Multivariate Analysis of the EEG in normal adolescents.Biol Psychiatry 1987; 22: 199-204.

John ER, Prichep LS. Principles of neurometrics and neurometric analysis of EEG and evoked potentials. In: Niedermeyer E, Lopes Da Silva F, eds. EEG: Basic Principles, Clinical Applications and Related Fields. Baltimore: Williams and Wilkins; 1993: 989-1003.

John ER, Zhang Z, Brodie JD, Prichep LS. Statistical probability mapping of brain function and structure. In: Thatcher RW, Hallett M, Zeffiro T, John ER, Huerta M, eds. Functional Neuroimaging: Technical Foundations. Academic Press; 1994: 137-43.

Hughes, J. R. & John, E. R. (1999). Conventional and quantitative electroencephalography in psychiatry. J Neuropsychiatry ClinNeurosci, 11, 190-208.

Koenig T, Prichep LS, Lehmann D, Valdes-Sosa P, Braeker E, Kleinlogel H, Isenhart R, John ER. Millisecond by Millisecond, Year by Year: Normative EEG Microstates and Developmental Stages.Neuroimage 2002; 16: 41-8.

John ER, Prichep LS, Friedman J, Easton P. Neurometrics: Computer-assisted differential diagnosis of brain dysfunctions. Science 1988; 293: 162-9.

Prichep LS. Use of normative databases and statistical methods in demonstrating clinical utility of QEEG: Importance and cautions. Clinical EEG 2005; 36: 82-7.

Alper KA, John ER, Brodie J, Gunther W, Daruwala R, Prichep LS.Correlation of PET and QEEG in normal Subjects. Psychiatry Research: Neuroimaging 2006; 146: 271-82.

John ER, Prichep LS. The Relevance of QEEG to the Evaluation of Behavioral Disorders and Pharmacological Interventions.Clinical EEG and Neuroscience 2006; 37: 135-43.

John ER, Prichep LS. Principles and applications of quantitative electroencephalogram in psychiatry. In: Sadock BJ, Sadock VA, Ruiz P, eds. Kaplan and Sadock’s Comprehensive Textbook of Psychiatry. 9th edition. Philadelphia: Lippincott Williams & Wilkins; 2009: 1013-32.

Congedo M, John ER, De Ridder D, Prichep LS, Isenhart R. Group independent component analysis of resting-state EEG in large normative samples. International Journal of Psychophysiology 2010; 78(2): 88-99.

Congedo M, John ER, De Ridder D, Prichep LS, Isenhart R. On the “Dependence” of “Independent” Group EEG Sources; an EEG Study on Two Large Databases. Brain Topography 2010; 23(2):134-138.

Source Localization

Prichep LS, John ER, Tom M. Localization of deep white matter lymphoma using VARETA – A case study. Clinical EEG 2001; 32: 62-6.

Bosch-Bayard, J., Valdes-Sosa, P., Virues-Alba, E., Aubert-Vazquez, E., John, E. R., Harmony, T., Riera-Diaz, J., & Trujillo-Barreto, N. (2001). 3D Statistical Parametric Mapping of EEG Source Spectra by means of Variable Resolution Electromagnetic Tomography (VARETA).Clin EEG, 32, 47-61.

Alper K, Raghavan M, Isenhart R, Howard B, Doyle W, John ER, Prichep LS. Localizing epileptogenic regions in partial epilepsy using three-dimensional statistical parametric maps of background EEG source spectra.Neuroimage 2008; 39: 1257-65.

Pascual-Marqui RD, Lehmann D, Koukkou M, Kochi K, Anderer P, Saletu B, Tanaka H, Hirata K, John ER, Prichep LS, Biscay-Lirio R, Kinoshita T. Assessing interactions in the brain with exact low-resolution electromagnetic tomography. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 2011; 369: 3768-3784.

Chemical Dependency

Alper KR, Prichep LS, Kowalik SC, Rosenthal MS. Persistent QEEG abnormality in crack cocaine users at 6 months of drug abstinence. Neuropsychopharm. 1998; 19: 1-9.

Prichep LS, Alper KR, Kowalik SC, Vaysblat L, Merkin HA, Tom M, John ER, Rosenthal MS. Prediction of treatment outcome in cocaine dependent males using quantitative EEG. Drug Alc.Depend. 1999; 54: 35-43.

Prichep LS, Alper KR, Sverdlov L, Kowalik SC, John ER, Merkin HTM, Howard B, Rosenthal MS. Outcome related electrophysiological subtypes of cocaine dependence. Clinical EEG 2002; 33: 8-20.

Reid MS, Prichep LS, Ciplet D, O’Leary SO, Tom M, Howard B, Rotrosen J, John ER. Quantitative electroencephalographic studies of cue-induced cocaine craving. Clinical EEG 2003; 34: 1-14.

Reid MS, Flammino F, Howard B, Nilsen D, Prichep LS. Topographic imaging of Quantitative EEG in response to smoked cocaine self-administration in humans. Neuropsychopharmacology 2006; 31: 872-4.

Reid MS, Flammino F, Howard B, Nilsen D, Prichep LS. Cocaine cue versus cocaine dosing in humans: Evidence for distinct neurophysiological response profiles. Pharmacology Biochemistry and Behavior 2008; 91: 155-64.

Alper K, Shah J, Howard B, John ER, Prichep LS. Childhood abuse and EEG source localization in crack cocaine dependence. Psychiatry Research:Neuroimaging. 2013;213:63-70

Cerebral Ischemia

Jonkman, E. J., Poortvliet, D. C. J., Veering, M. M., DeWeerd, A. W., & John, E. R. (1985). The use of neurometrics in the study of patients with cerebral ischemia. ElectroencephalogrClinNeurophysiol, 61, 333-341.

Veering, N. M., Jonkman, E. J., Poortvliet, D. C., de Weerd, A. W. , Tans, J. T., & John, E. R. (1986). The effect of reconstructive vascular surgery on clinical status, quantitative EEG and cerebral blood flow in patients with cerebral ischaemia. A three month follow-up study in operated and unoperated stroke patients. EEG ClinNeurophysiol, 64, 383-393.

John ER, Prichep LS, Chabot RJ, Isom WO. Monitoring brain function during cardiovascular surgery: Hypoperfusion vs. microembolism as the major cause of neurological damage during cardiopulmonary bypass. Heart and Brain, Brain and Heart. Heidelberg: Springer-Verlag; 1989.

Learning Disabilities/ADHD/Child-Adolescent Psychiatry

Baird, H. W., John, E. R., Ahn, H., & and Maisel, E. (1980). Neurometric evaluation of epileptic children who do well and poorly in school. EEG ClinNeurophysiol, 48, 683-693.

Kaye H, John ER, Ahn H, Prichep LS.Neurometric evaluation of learning disabillities.Intl.J.Neurosci. 1981; 13: 15-25.

John ER, Prichep LS, Fridman J, Ahn H, Kaye H, Baird H. Neurometric evaluation of brain electrical activity in children with learning disabilities. In: Duffy F, Geschwind N, eds. Dyslexia: A Neuroscientific Approach to Clinical Evaluation. Boston: Little, Brown & Co.; 1985: 157-85.

Lewis AL, Pincus JH, Bard B, Richardson E, Prichep LS, Feldman M, Yeager C. Neuropsychiatric, psychoeducational and family characteristics of 14 juveniles condemned to death in the U.S. Am J Psychiatry 1988; 145: 584-9.

John ER, Prichep LS, Ahn H, Kaye H, Brown D, Easton P, Karmel Z, Toro A, Thatcher R. Neurometric Evaluation of Brain Function in Normal and Learning Disabled Children. Ann Arbor, Univ. of Michigan Press; 1989.

Chabot RJ, Prichep LS, John ER.The clinical role of neurophysiology in child and adolescent psychiatry. In: Noshpitz JD, ed. Handbook of Child and Adolescent Psychiatry. 1996.

Chabot RJ, diMichele F, Prichep LS, John ER. The clinical role of computerized EEG in the evaluation and treatment of learning and attention disorders in children and adolescents. J Neuropsychiatry Clinical Neuroscience 2001; 13: 171-86.

di Michele F, Prichep LS, John ER, Chabot RJ. The neurophysiology of attention-deficit/hyperactivity disorder. International Journal of Psychophysiology 2005; 58: 81-93.

Chabot RJ, di Michele F, Prichep LS. The role of quantitative electroencephalography in child and adolescent psychiatric disorders.Child and Adolescent Psychiatric Clinics of North America 2005;14:21-53.

Chabot RJ, Orgill AA, Crawford G, Harris MJ, Serfontein G. Behavioral and Electrophysiological predictors of treatment response stimulants in children with attention disorders. J Child Neurology 1999;14:343-351.

Chabot RJ, Merkin H, Wood LM, Davenport TL, Serfontein G. Sensitivity and Specificity of QEEG in Children with Attention Deficit or Specific Developmental Learning Disorders.Clin EEG 1996;27:26-34.

Chabot RJ, Serfontein G. Quantitative EEG profiles of children with Attention Deficit Disorder. BiolPsychiat 1996;40:951-963.

Chabot RJ, Sigal LH. QEEG and evoked potentials in central nervous systemlyme disease. Clin EEG 1995;26:137-145.

Coben R, Chabot RJ, Hirshberg L. EEG Analyses in the Assessment of Autistic Disorders. In: Casanova MF, El-Baz AS, Suri JS, eds. Imaging the Brain in Autism. Springer New York; 2013;349-370.

Chabot RJ, Coben R, Hirshberg L, Cantor D.S. QEEG and VARETA based Neurophysiological Indices of Brain Dysfunction in Attention Deficit and Autustic Spectrum Disorder. Austin J Autism & Relat Disabil 2015; Volume 1 Issue 2.

Consciousness and Mental Activity

John ER, Prichep LS, Katz J, Easton P, Chabot R. Topographic maps of EEGs coherence and EP factor structure at rest and during mental tasks. In: Takahashi R, Flor-Henry

J, Gruzelier J, Niwa S, eds. Cerebral Dynamics, Laterality and Psychopathology. Amsterdam: Elsevier; 1987.

John ER, Prichep LS, Chabot RJ. Quantitative Electrophysiological Maps of Mental Activity.Brain Dynamics 2 edn. 1989: 316-30.

John ER, Prichep LS, Chabot RJ. Quantitative electrophysiological maps of mental activity. In: Basar E, Bullock TH, eds. Dynamics of Sensory and Cognitive Processing by the Brain. Springer-Verlag; 1989.

Prichep LS, John ER, Easton P, Chabot R. Cross-spectral coherence at rest and during mental activity. In: John ER, ed. Machinery of the Mind. Boston: Birkhauser; 1990: 471-8.

John ER, Halper JP, Lowe RS3, Merkin H, DeFina P, Prichep LS. Source Imaging of QEEG as a bedside method to detect awareness in a patient in a vegetative state. Brain Injury 2011; 25[4], 426-432.

Anesthesia – Loss and Return of Consciousness

Prichep LS, John ER, Chabot RJ, Gugino LD, Kox W. PSI Prediction of “arousal” events during surgery under continuous intravenous, inhalation or nitrous/narcotic anesthesia. Memory and Awareness in Anesthesia. Harrow: 1998.

Prichep LS, John ER, Gugino LD, Kox W, Chabot R. Quantitative EEG assessment of changes in the level of the sedation/hypnosis during surgery under general anesthesia: I. The Patient State Index (PSI). In: Jordan C, Vaughan DJA, Newton DEF, eds. Memory and Awareness in Anesthesia. IV edn. London: Imperial College Press; 2000: 97-102.

John ER, Prichep LS, Gugino LD, Kox W, Chabot RJ. Quantitative electroencephalographic (QEEG) changes accompanying loss and return of consciousness during inhalation anesthesia: II. Variable resolution electromagnetic tomography (VARETA).Memory and Awareness in Anesthesia IV. Northwick Park, Harrow, London: Imperial College Press; 2000: 102-7.

Gugino LD, Chabot RJ, Prichep LS, John ER, Formanek V, Aglio LS. Quantitative EEG changes associated with loss and return of consciousness in healthy adult volunteers anesthetized with propofol or sevoflurane. British J.Anaesth.2001; 87: 421-8.

John ER, Prichep LS, Kox W, Valdes-Sosa P, Bosch-Bayard J, Aubert E, Tom M, di Michele F, Gugino LD. Invariant reversible QEEG effects of anesthetics. Consciousness and Cognition 2001; 10: 165-83.

Drover D, Lemmens HJ, Pierce ET, Loyd G, Ornstein E, Prichep LS, Chabot RJ, Gugino L. Patient state index: titration of delivery and recovery from propofol, alfentanil, and nitrous oxide anesthesia. Anesthesiology 2002; 97: 82-9.

Prichep LS, Gugino LD, John ER, Chabot RJ, Howard B, Merkin HA, Tom M, Wolter S, Rausch L, Kox W. The Patient State Index (PSI) as an indicator of the level of hypnosis under general anesthesia. British Journal of Anaesthesia 2004; 92: 393-9.

Rundshagen I, Schroder T, Prichep LS, John ER, Kox WJ. Changes in cortical electrical activity during induction of anaesthesia with thiopental/fentanyl and tracheal intubation.A quantitative electroencephalographic analyses. British J.Anaesth.2004; 92: 33-8.

John ER, Prichep LS. The anesthetic cascade: how anesthesia suppresses awareness. Anesthesiology 2005; 102: 447-71.

Kox W, von Heymann C, Heinze J, Prichep LS, John ER, Rundshagen I. Electroencephalographic mapping during routine clinical practice: cortical arousal during tracheal intubation? Anesthesia and Analgesia 2006; 102: 825-31.

Adult Psychiatric Disorders and Neurological Disorders

Prichep LS, Mas F, Hollander E, Liebowitz M, John ER, Almas M, DeCaria CM, Levine RH. Quantitative electroencephalographic subtyping of obsessive-compulsive disorder. Psychiatry Res. 1993; 50 : 25-32.

Prichep LS, John ER, Alper K, Gomez-Mont F, Essig-Peppard T, Flitter M. Quantitative EEG in depressive disorders. In: Shagass C, Josiassen RC, and Roemer RA, eds. Brain Electrical Potentials and Psychopathology. Amsterdam: Elsevier; 1986: 223-44.

Prichep LS.Neurometric QEEG measures of depressive disorders. In: Takahashi P, Flor-Henry J, eds. Cerebral Dynamics, Laterality and Psychopathology. Amsterdam: Elsevier; 1987: 55-69.

Prichep LS, Mas F, John ER, Levine R. Neurometric subtyping of obsessive compulsive disorders. In: Stefanis CN, Rabavilas AD, Soldatos CR, eds. Psychiatry: A World Perspective. Amsterdam: Elsevier; 1990: 557-62.

Lieber AL, Prichep LS. Diagnosis and subtyping of depressive disorders by quantitative electroencephalography I: Discriminant analysis of selected variables in untreated depressives. The Hillside J of Clin.Psychiat.1988; 10: 71-83.

Prichep LS, John ER, Essig-Peppard T, Alper KR. Neurometric subtyping of depressive disorders. In: Cazzullo CL, Invernizzi G, Sacchetti E, Vita A, eds. Plasticity and Morphology of the CNS. London: M.T.P. Press; 1990.

Prichep LS, John ER, Mas F, Essig-Peppard T. Subtyping of Schizophrenia. In: John ER, ed. Machinery of the Mind. Birkhauser; 1990: 460-70.

Bolwig TG, Hansen ES, Hansen A, Merkin H, Prichep LS. Toward a better understanding of the pathophysiology of OCD SSRI responder: QEEG source localization. ActaPsychiatrScand 2007; 115: 237-42.

Prichep LS, John ER. QEEG profiles of psychiatric disorders. Brain Topography. 1992; 4: 249-257

Hansen ES, Prichep LS, Bolwig TG, John ER. Quantitative electroencephalography in OCD- patients treated with paroxetine. Clinical EEG 2003; 34: 70-4.

John ER, Prichep LS, Almas M. Subtyping of psychiatric patients by cluster analysis of QEEG.Brain Topogr. 1992; 4 : 321-326.

John ER, Prichep LS, Alper KR, Mas FG, Cancro R, Easton P, Sverdlov L. Quantitative electrophysiological characteristics and subtyping of schizophrenia. Biological Psychiatry 1994; 36: 801-26.

John ER, Prichep LS, Valdes-Sosa P. Neurometric EEG classification and subtyping of psychiatric disorders. EEG Clin.Neurophysiol. 1997; 103: 36.

Mas F, Prichep LS, John ER, Levine R. Neurometric QEEG subtyping of obsessive compulsive disorder. In: Maurer K, ed. Imaging of the Brain in Psychiatry and Related Fields. Berlin, Heidelberg: Springer-Verlag; 1993: 277-80.

Alper K, Günther W, Prichep LS, John ER, Brodie J. Correlation of QEEG with PET in Schizophrenia.Neuropsychobiology 1998; 38: 50-6.

Brasic JR, Zagzag D, Kowalik S, Prichep LS, John ER, Barmett JY, Bronson B, Nadrich RH, Cancro R, Buchsbaum M, Brathwaite C. Clinical Manifestations of Progressive Catatonia.German Journal of Psychiatry 2000; 3: 24.

John ER, Prichep LS, Winterer G, Hermann WM, diMichele F, Halper J, Bolwig T, Cancro R. Electrophysiological subtypes of psychotic states. ActaPsychiatrica Scandinavia 2007; 116: 17-35.

Prichep LS, John ER, Howard B, Merkin H, Hiesiger E. Assessment of pain using Quantitative EEG source imaging. Pain Medicine.2011; 12: 1241-48.

Prichep LS, John ER, Howard B, Merkin H, Hiesiger E. Evaluation of the pain matrix using EEG source localization: a feasibility study. Pain Medicine 2011;12:1241-1248.

Chabot RJ, Sigal LH. QEEG and evoked potentials in central nervous system lyme disease. Clin EEG 1995;26:137-145.

Aging and Dementia

Prichep LS, Gomez-Mont F, John ER, Ferris SH. Neurometric Electroencephalographic characteristics of dementia. In: Reisberg B, ed. Alzheimer’s Disease: The Standard Reference. The Free Press (MacMillan); 1983: 252-7.

John ER, Prichep LS. Neurometric studies of aging and cognitive impairment. In: Uylings HBM, Van Eden CGV, De Bruin JPC, Corner MA, Feenstra MGP, eds. The Prefrontal Cortex. Progress in Brain Research. Amsterdam: Elsevier; 1990: 545-55.

Prichep LS, John ER, Ferris SH, Reisberg B, Alper KR, Cancro R. Quantitative EEG correlates of cognitive deterioration in the elderly. Neurobiology Aging 1994; 15: 85-90.

Koenig T, Prichep LS, Dierks T, Hubl D, Wahlund LO, John ER, Jelic V. Decreased EEG synchronization in Alzheimer’s disease and mild cognitive impairment. Neurobiology of Aging 2005; 26: 165-71.

Prichep LS, John ER, Ferris SH, Rausch L, Fang Z, Rausch L, Cancro R, Torrossian C, Reisberg B. Prediction of longitudinal cognitive decline in normal elderly with subjective complaints using electrophysiological imaging. NeuroBiol Aging 2006; 27: 471-81.

Prichep LS.Quantitative EEG and Electromagnetic Brain Imaging in Aging and in the Evolution of Dementia.Ann.N.Y.Acad Sci. 2007; 40: 1-12.

Lehmann C, Koenig T, Jelic V, Prichep LS, John ER, Walhlund L, Dodge Y, Dierks T. Application and comparison of classification algorithms for recognition of Alzheimer’s disease in electrical brain activity (EEG). Journal of Neuroscience Methods 2007; 161: 342-50.

Reisberg B, Prichep LS, Mosconi L, John ER, Glodzik-Sobanska L, Boksay I, Monteiro I, Torossian C, Vedvyas A, Ashraf N, Jamil IA, de Leon MJ. The pre-mild cognitive impairment, subjective cognitive impairment stage of Alzheimer’s disease. Alzheimer’s and Dementia 2008; 4: S98-S108.

Treatment Applications

Cantor, D.S. An Overview of Quantitative EEG and Its Applications to Neurofeedback. In J. Evans (Ed.) Introduction to Neurofeedback.
New York: Academic Press, 1999.

Cantor, D.S. & Stevens, E. QEEG Correlates to Auditory-Visual Entrainment In Refractory Depression – Journal of Neurotherapy, 13,100-108, 2009

Cantor,D. Applying advanced methods in clinical practice. In Budzynski, T, Budzynski, H., Evans, J. and Abarbanel, A. Introduction to Quantitative EEG and Neurofeedback: Advance Theory and Applications, 2nd Ed. Academic Press, 2009, 63-81.

Cantor, D. & Evans, J. (Eds.) Clinical Methods of Neurotherapy: Techniques and Treatment Applications. Elsevier Press, In press, 2013.