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Upcoming events

    • 6 May 2024
    • 6:00 PM - 9:00 PM
    • Zoom (Link to Follow)

    • Monday, May 6th 6-9 pm

      2024 Frank Le Fever Spring Conference via Zoom

      AI and Emerging Technologies in Neuropsychology

    • Robert M. Bilder, PhD, ABPP-CN

      The Future of Neuropsychology:

      What is the End Game?


      Thomas D. Parsons, PhD

      Neuropsychological Assessment and Technology:

      What’s New and Why We Should Use It


      Liz Angoff, PhD

      Practical Applications of AI in Neuropsychology



      Members: $50, which includes attendance & 3 CE credits*

      Student Members: FREE

      Non-members: $100, which includes attendance & 3 CE credits*

      *New York Neuropsychology Group is recognized by the New York State Education Department's State Board for Psychology as an approved provider of continuing education for licensed psychologists #PSY-0107. New York Neuropsychology Group is approved by the American Psychological Association to sponsor continuing education for psychologists. NYNG maintains responsibility for this program and its content. CE credits will be awarded to paid registrants who attend the majority of the conference.

      Refund Policy: Full refund will be provided if cancellation occurs up to 24 hours prior to the event. Cancellation requests made within 24 hours are non-refundable. 

      Image above was obtained from:

      Robert M. Bilder, PhD, ABPP-CN

      The Future of Neuropsychology: What is the End Game?


      Abstract: Clinical neuropsychology is poised for revolutionary changes in how information is acquired from individuals about their brains and how we use that information.  The traditional methods of testing people using clinical “laboratory” procedures is inefficient, suboptimal in both ecological and biological validity, and relies on outdated methods for data collection and analysis. New methods to acquire data using ubiquitous sensing and data aggregation will displace the older methods, and new clinical methods will be developed to maximize the benefits of the new data.  Old normative tables from cross-sectional standardization studies will be replaced by dynamically updated studies of diverse individuals, both healthy and with clinical conditions, and expected scores will be based on mathematical models that consider social and structural determinants of neuropsychological function in appropriate clinical context. Clinical decision support systems fueled by evidence-based algorithms operating with all the information available in electronic health records will replace the currently conventional clinician-centered approach to differential diagnosis and treatment recommendations.  Clinicians will need to identify what uniquely human aspects of clinical neuropsychology continue to be done better by humans than by machines (e.g., patient centered, clinician-partnered care).  Given the pace of change the time to consider the future is now.


      Robert Bilder is the Tennenbaum Family Distinguished Professor of Psychiatry and Psychology, Chief of Psychology at UCLA Health, and Director of the Center for the Biology of Creativity at UCLA’s Semel Institute for Neuroscience and Human Behavior. He is a board-certified clinical neuropsychologist and directs training programs in Clinical Neuropsychology at UCLA. His research focuses on brain and behavior, with aims to eliminate artificial boundaries between mental health and illness, and between every day and exceptional creativity. His current NIH grants examine reward mechanisms and have established a National Neuropsychology Network to aggregate data on a large scale to help develop the next generation of neuropsychological assessment methods, data sharing and data harmonization.  He has a long-standing interest in promoting innovation and technology, served as a member of the expert panel at the Minnesota Update Conference for neuropsychology and heads the Disruptive Technology Initiative for the American Academy of Clinical Neuropsychology.  His team recently completed the “Big C” project to examine brain function in exceptional creativity and now directs a National Endowment for the Arts Research Lab to measure impact of the arts on well-being, and he co-leads the Mind Well pod of the UCLA Semel Healthy Campus Initiative Center to enhance the psychological well-being of students, staff and faculty across the campus.


      Learning Objectives:

    • 1.     Describe at least two limitations of current models of neuropsychological assessment.
    • 2.     Describe at least two innovations that are likely to be included in future models of neuropsychological assessment.
    • 3.     Discuss the roles of clinical neuropsychologists in future models of care.

      DEI: Current models of neuropsychological (NP) assessment suffer from both the methods lacking sensitivity to diversity and the interpretation based on stratified group norms that are outdated and often poorly tailored to understand individual patients.  This presentation will highlight how future models can include more comprehensive and appropriate regressors to help estimate expected scores based on social and other contextual determinants of NP function.  The presentation will also address the risks of algorithmic discrimination, and continued problems with the digital divide that may impact equitable care.


      Financial disclosures: Dr. Bilder is supported in part by a grant from the NIMH (R01MH118514), the National Neuropsychology Network, that focused on data aggregation.



      Bilder, R. M., & Reise, S. P. (2019). Neuropsychological tests of the future: How do we get there from here? The Clinical Neuropsychologist, 33(2), 220-245.

      Bilder, R. M., Widaman, K. F., Bauer, R. M., Drane, D., Loring, D. W., Umfleet, L. G., ... & Shih, S. (2023). Construct identification in the neuropsychological battery: What are we measuring? Neuropsychology, 37(4), 351.

      Reise, S. P., Wong, E., Block, J., Widaman, K. F., Gullett, J. M., Bauer, R. M., ... & Bilder, R. M. (2023). Computerized adaptive test strategies for the matrix reasoning subtest of the Wechsler Adult Intelligence Scale, (WAIS-IV). Journal of the International Neuropsychological Society, 1-10.

      Loring, D. W., Bauer, R. M., Cavanagh, L., Drane, D. L., Enriquez, K. D., Reise, S. P., ... & NNN Study Group. (2022). Rationale and design of the National Neuropsychology Network. Journal of the International Neuropsychological Society, 28(1), 1-11.


      Thomas D. Parsons, PhD

      Neuropsychological Assessment and Technology:

      What’s New and Why We Should Use It


      Abstract: While science and industry have embraced technology, neuropsychology has been slow to follow suit. Potential reasons for this reserve involve substantive questions pertaining to assessment; the economics of clinical practice in a changing healthcare environment; and a reticence to venture into new assessment models. While discussions continue within the field of neuropsychology regarding how to respond to technology, new capabilities continue to emerge that offer potential for enhancing the ways in which science and industry function as well as the fundamental nature of our society. Neuropsychologists in the digital age have increasing access to emerging technologies. This talk emphasizes developing scientific and technological potentials (e.g., novel simulations, sensors, data analytics) for augmented characterization of neurocognitive, behavioral, affective, and social processes. Particular emphasis is placed upon clinical extended reality (Clinical XR). 


      Thomas D. Parsons, PhD is the Grace Center Professor of Innovation in Clinical Education, Simulation Science, and Immersive Technology (Tenured) at Arizona State University. He directs the Computational Neuropsychology and Simulation (CNS) laboratory. Professor Parsons is also a clinical neuropsychologist and Veteran. Dr. Parsons serves on several emerging neurocognitive technology task forces: National Football League; Alzheimer's Association; and the Federal Aviation Administration. Work in the CNS lab integrates computational social science, clinical neuropsychology, psychophysiology, virtual humans, and simulation technologies for novel assessment, modeling and training (edtech) of neurocognitive, affective, and social processes. Dr. Parsons is a leading scientist in this area and he has been PI of 18 funded projects during his career and an investigator on an additional 13 funded projects (more than $20 million in funding). He is currently PI for a $5.2 million dollar grant “Virtual Insomnia Patients (VIPs) to Automate and Accelerate Dissemination of Cognitive Behavioral Therapy for Insomnia (CBT-I; see pic below).” In addition to his social networking efforts (patents for's matching system, U.S. Patent Nos. 2004/6735568; 2014/0180942 A1), he has invented and validated virtual reality-based assessments and training platforms. In addition to his five books, he has more than 200 publications in peer-reviewed journals and book chapters. His contributions to neuropsychology were recognized when he received the 2013 National Academy of Neuropsychology Early Career Achievement award. In 2014, he was awarded fellow status in the National Academy of Neuropsychology. In 2023, Dr. Parsons received the Cybertherapy Lifetime Achievement Award in Paris.


      Learning Objectives:

    • 1.     Describe  the history of computerized testing and how these developments shaped the present status of automated assessment.
    • 2.     Identify specific changes to practice models that can increase access to neuropsychological care.
    • 3.     Demonstrate an understanding for the ways that current and developing technologies can enhance traditional methods of neurocognitive assessment.
    • 4.     Describe ways in which virtual environments and scenario-based assessment can enhance the evaluation of patient capabilities and provide data with increased ecological relevance.
    • 5.     Discuss incorporating computational neuropsychology and data analytics to address diagnostic and assessment issues.

      DEI: This talk will include a discussion of the ways in which algorithms have the potential to hide, speed up, and deepen discrimination while appearing neutral and even benevolent. The range of discriminatory designs that encode inequity by explicitly amplifying racial hierarchies will be included.


      Financial disclosures: None



      Parsons, T. D., & Duffield, T. (2019). National Institutes of Health initiatives for advancing scientific developments in clinical neuropsychology. The Clinical Neuropsychologist, 33(2), 246-270.

      Parsons, T.D. (2019).  Ethical Challenges in Digital Psychology and Cyberpsychology. Cambridge: Cambridge University Press.

      Parsons, T.D. (2017).  Cyberpsychology and the Brain: The Interaction of Neuroscience and Affective Computing. Cambridge: Cambridge University Press.

      Kane, R. L., & Parsons, T.D. (2017).  The Role of Technology in Clinical Neuropsychology. Oxford: Oxford University Press.

      Parsons, T.D. (2016).  Clinical Neuropsychology and Technology: What’s New and How We Can Use It. New York: Springer Press.

      Liz Angoff, PhD

      Practical Applications of AI in Neuropsychology


      Abstract: AI offers the potential to transform our practice as psychologists.  In this talk, we move beyond increasing efficiency, and address how we can use AI to increase accessibility and truly empower the patients and families we work with. Assessment is a complex process, full of technical terms, psychological jargon, and deficit language.  This creates immense barriers for those we serve to fully understand their neuropsychological profile. AI offers a promising solution by helping us transform the language we use, to create positive and simple narratives, provide summaries that make it easier to understand the main points of our work, real-world examples, and compelling metaphors tailored to individual profiles. This session will help participants become familiar and comfortable with AI tools and strategies, to improve our ability to communicate testing results.  


      Liz Angoff, Ph.D. is a Licensed Educational Psychologist with a Diplomate in School Neuropsychology, providing assessment and consultation services to children and their families in the Bay Area, CA.  She is the author of the Brain Building Books, tools for engaging children in understanding their learning and developmental differences as part of the assessment process. More information about Dr. Liz and her work is available at


      Learning Objectives:

    • 1.     Describe how AI works.
    • 2.     Use AI to create reports that are easier to read and more accessible to families.
    • 3.     Use AI to develop metaphors and real-world examples of different psychological processes to help patients and families understand the testing results.

    DEI: The aim of this talk is to help practitioners use AI to make our work more accessible to neurodiverse families.


    Financial disclosure: I am the publisher and author of The Brain Building Books.  I receive a small compensation from BastionGPT for new subscribers, which supports the Brain Building Book donation program.



    Irshad, S., Azmi, S., & Begum, N. (2022). The role of artificial intelligence in psychology: Current developments and future implications. Journal of Mental Health Practice, 15(2), 112-129.

    Luxton, D.D. (2014). Artificial intelligence in psychological practice: Current and future applications and implications. Professional Psychology: Research and Practice, 45, 332-339.

    Zhou, S., Zhao, J., & Zhang, L. (2022). Application of Artificial Intelligence on Psychological Interventions and Diagnosis: An Overview. Frontiers in psychiatry, 13, 811665.

    Jiang, L., Tian, X., Ren, P., & Luo, F. (2022). A new type of mental health assessment using artificial intelligence technique. Advances in Psychological Science.

    Timmons, A. C., Duong, J. B., Simo Fiallo, N., Lee, T., Vo, H. P. Q., Ahle, M. W., Comer, J. S., Brewer, L. C., Frazier, S. L., & Chaspari, T. (2023). A Call to Action on Assessing and Mitigating Bias in Artificial Intelligence Applications for Mental Health. Perspectives on psychological science : a journal of the Association for Psychological Science, 18(5), 1062–1096.


Past events

22 Jan 2024 39th Annual Arthur Benton Lecture / “Cognitive and Biomarker Changes During Preclinical Alzheimer’s Disease” / Marilyn Albert, PhD
26 Sep 2023 “Ethical Considerations for Neuropsychological Assessment” / Celia Fisher, PhD
25 Apr 2023 2023 Frank L. LeFever Spring Conference / "The Neuropsychologist's Responsibility and Role in Equity and Access" / Daryl Fujii, PhD, ABPP-CN; Desiree Byrd, PhD, ABPP-CN; Emnet Gammada, PhD; Nancy Rothenberg, Esq
13 Feb 2023 "A Systemic Approach to Embracing Linguistic Diversity in Neuropsychology" / Farzin Irani, Ph.D., ABPP-CN
9 Jan 2023 38th Annual Arthur Benton Lecture / "Translating Neurobiological Insights concerning Prefrontal Cortex and Executive Functions into Clinical Implications" / Adele Diamond, PhD, FRSC
17 Oct 2022 "Neuropsychological Reports: How Can We Do Better?" / Jacobus Donders, PhD, ABPP
12 Oct 2022 NYNG Bilingual Task Force Student Research Forum
9 May 2022 2022 Frank L. LeFever Spring Conference - Lecture 3 / "The Neuropsychological Impact of Viruses in Pediatric Populations: Past Pandemics and Current and Future Investigations of COVID-19 Exposure" / Richard Gallagher, PhD
2 May 2022 2022 Frank L. LeFever Spring Conference - Lecture 2 / "Cognitive and Mood Symptoms Following Recovery from Covid-19. Implications for Intervention" / Faith M. Gunning, PhD
25 Apr 2022 2022 Frank L. LeFever Spring Conference - Lecture 1 / "Neuropsychological Outcome in Long COVID-19 Patients" / Douglas Whiteside, PhD, ABPP/CN
28 Feb 2022 37th Annual Arthur Benton Lecture / "The Biology of Feeling and the Nature of Consciousness" / Antonio Damasio, MD, PhD
7 Feb 2022 Psychedelics in a Medical Setting: MDMA-assisted psychotherapy for PTSD
5 Jan 2022 Foreign Language and L2 Learning for Students with Language-Based Learning Disabilities: Supports, Strategies, and Goals
15 Nov 2021 2021 Training Fair
29 Sep 2021 What is a Neuropsychologist?
14 Jun 2021 How are Neuropsychologists using Telehealth? Join us for an overview of best practices and discussion
2 Jun 2021 "Interpreter-Mediated Neuropsychological Services for Linguistically Diverse Clients"
20 May 2021 2021 Frank L. LeFever Spring Conference / "Think Zebras, Not Horses: Novel Approaches to Studying Atypical Neuropsychological Disorders"/ Margaret O'Connor, PhD, ABPP & Naomi Nevler, MD
1 Feb 2021 Virtual Happy Hour for Trainees
26 Jan 2021 36th Annual Arthur Benton Lecture / "Improving the Human Brain" / Michael Posner, PhD
4 Jan 2021 Billingual Task Force / "Natural Speech Markers of Neurodegenerative Diseases in Latino Populations" / Adolfo Garcia, PhD
16 Nov 2020 2020 Training Fair
27 Oct 2020 Educational Outreach
16 Sep 2020 2020 Annual Frank LeFever Spring Conference / "From HIV to COVID-19: The Neuropsychology of Infectious Disease" / Allison Navis, MD, Andrew Levine, PhD, Desiree Byrd, PhD, and Philip Uy, PhD
30 Jun 2020 Bilingual Task Force / "Neuropsychological assessment in Spanish speakers in the US" / Shelley Peery, PhD
27 Jan 2020 35th Annual Arthur Benton Lecture / "Reducing Diagnostic Uncertainty: The Role of Evidence-Based Practices in Clinical Practice and Research" / Gordon Chelune, PhD
15 Apr 2019 2019 Annual Spring Conference / "Novel Approaches and Emerging Technologies to Enhance Neuropsychological Clinical Practice" / Adam Brickman, PhD, Thomas Parsons, PhD, and Helen Mayberg, MD
23 Jan 2019 34th Annual Arthur Benton Lecture / "Constraint-Induced Movement Therapy: From Monkey Lab To Human Rehabilitation" / Edward Taub, PhD
28 Apr 2018 2018 Annual Spring Conference / "Chronic Traumatic Encephalopathy: Neuropathology, Knowledge Gaps, and Clinical Translation" / Daniel Perl, MD, Christopher Randolph, PhD, and Kenneth Perrine, PhD
8 Jan 2018 33rd Annual Arthur Benton Lecture / "Investigations of Preclinical Stage of Alzheimer’s Disease" / Stephen Rao, PhD
9 Jan 2017 32nd Annual Arthur Benton Lecture / "Creativity & The Brain" / Kenneth Heilman, MD
11 Jan 2016 31st Annual Arthur Benton Lecture / "My Path to Neuropsychology and Cognitive Reserve" / Yaakov Stern, PhD
12 Jan 2015 30th Annual Arthur Benton Lecture / "A Novel Approach to Hemispheric Specialization in Novelty Processing (Pun Intended)" / Elkhonon Goldberg, PhD
27 Nov 2014 29th Annual Arthur Benton Lecture / "Optimal Outcome in Children with a History of Autism" / Deborah Fein, PhD
4 Jan 2013 28th Annual Arthur Benton Lecture / "Anatomical Functional Organization of the Frontal Lobes: Implications for Assessment and Rehabilitation" / Donald Stuss, PhD
9 Jan 2012 27th Annual Arthur Benton Lecture / "Profiles of Dementia: Four Neuropsychological, Neuroanatomic and Neuropathologic Phenotypes" / Sandra Weintraub, PhD
10 Jan 2011 26th Annual Arthur Benton Lecture / "Fatal Attraction: The Tangled Relationship of Neuropsychology and IQ Tests" / Maureen Dennis, PhD
11 Jan 2010 25th Annual Arthur Benton Lecture / "Cognitive Changes With Aging: What is Normal & What is Not?" / Linas Bieliauskas, PhD
22 Apr 2009 24th Annual Arthur Benton Lecture / "Controversies in Pediatric Bipolar Disorder: How Neuropsychological Findings and Concepts Help to Clarify the Issues" / Steve Mattis, PhD, ABPP-CN
27 Jan 2008 23rd Annual Arthur Benton Lecture / "" /
27 Jan 2007 22nd Annual Arthur Benton Lecture / "Pioneers of Neuropsychology: An Insider’s Guide to Arthur Benton" / Kerry Hamsher, PhD
7 Nov 2006 21st Annual Arthur Benton Lecture / "Neuropsychology of Cognitive Aging: Diagnosis & Experimental Therapeutics" / Mary Sano, PhD
29 Nov 2005 20th Annual Arthur Benton Lecture / "Memory Impairment" / Herman Buschke, MD
1 Dec 2004 19th Annual Arthur Benton Lecture / "Brain Basis of Consciousness: Evidence From Neuropsychology" / Marcel Kinsbourne, PhD
13 Nov 2003 18th Annual Arthur Benton Lecture / "The Neuropsychology of Emotions: Clinical Implications" / Joan Borod, PhD
25 Nov 2002 17th Annual Arthur Benton Lecture / "Evolutionary Neuroanatomy and Schizophrenia" / Robert Bilder, PhD, ABPP
1 Jan 2001 16th Annual Arthur Benton Lecture / "" /
28 Nov 2000 15th Annual Arthur Benton Lecture / "Cortical Memory" / Joaquin Fuster, PhD
15 Nov 1999 14th Annual Arthur Benton Lecture / "Neuropsychological Rehabilitation: a Day Program Based on Luria’s Theory" / Anne-Lise Christensen, PhD
30 Nov 1998 13th Annual Arthur Benton Lecture / "The Organization of Knowledge Systems in the Brain" / Elizabeth Warrington, PhD
11 Nov 1997 12th Annual Arthur Benton Lecture / "Biological Influences on Sex Differences in Cognition" / Doreen Kimura, PhD
25 Nov 1996 11th Annual Arthur Benton Lecture / "Processing Deficits in Amnesia" / Laird Cermak, PhD
20 Nov 1995 10th Annual Arthur Benton Lecture / "Body Sensation in the development of Self: a Neuropsychological Analysis" / Marcel Kinsbourne, PhD
21 Nov 1994 9th Annual Arthur Benton Lecture / "Degrees of Modularity and the Concept of Self in the Dual Brain" / Eran Zaidel, PhD
1 Jan 1993 8th Annual Arthur Benton Lecture / "" /
1 Jan 1992 7th Annual Arthur Benton Lecture / "" /
1 Nov 1991 6th Annual Arthur Benton Lecture / "" /
17 Dec 1990 5th Annual Arthur Benton Lecture / "The Aftereffects of Stress on The Brain" / Dennis D. Kelly, PhD
20 Nov 1989 4th Annual Arthur Benton Lecture / "Memory Systems: A Psychobiological Perspective" / Herbert Weingartner, PhD
21 Nov 1988 3rd Annual Arthur Benton Lecture / "New Prospects For Understanding The Frontal Lobes" / Brenda Milner, PhD
16 Nov 1987 2nd Annual Arthur Benton Lecture / "Parsing Memory: The Process Approach to Assessing Dysfunctional Memory" / Edith Kaplan, PhD
8 Dec 1986 1st Annual Arthur Benton Lecture / "The Evolution of Clinical Neuropsychology As Reflected in The Study Of Visual-Perceptual Disorders" / Arthur L. Benton, PhD

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