Cognitive Neuroscience comes of Age: Using Closed-loop Neuromodulation to induce clinical change

apa-logo_white_screenThe International Neuropsychological Society is approved by the American Psychological Association to sponsor continuing education for psychologists. The International Neuropsychological Society maintains responsibility for this program and its content.
Educational Objectives
  1. Explain the use of fluctuating, spontaneous neural activity for predicting cognitive task performance
  2. Describe a newly developed method using functional magnetic imaging (fMRI) to modify aberrant neurocircuitry in the human brain
  3. List new advances in neuroimaging - especially regarding developing implicit procedures for potentially changing the neural substrates of cognition and modifying behavior


Course Information
Target Audience:Intermediate
Availability:Date Available: 2022-12-07
  You may obtain CE for this webinar at any time.
Offered for CE Yes
Cost Members $20
  Non-Members $30
Refund Policy This webinar is not eligible for refunds
CE Credits 1.0
During the past several decades we’ve witness tremendous advances in our ability to study human brain function. Now, for example, we can probe processing differences at the level of the cortical laminar, and identify the brain’s intrinsic network architecture via recording slowly fluctuating, spontaneous neural activity at rest. Yet, despite these and other advances, we have little to show for it on the treatment front. In this webinar, I will highlight recent advances in functional neuroimaging that may potentially offer a means for modifying aberrant neurocircuitry in neuropsychiatric patients. This method, closed-loop neuromodulation, uses implicit feedback to manipulate spontaneous activity at the network level, without violating the spontaneous or endogenous nature of the signal inherent in other techniques like TMS (transcranial magnetic stimulation). As a result, it may also provide a means for directly testing network causality.

  1. Martin A, Barnes KA, Stevens WD. (2012). Spontaneous neural activity predicts individual differences in performance. Proceedings of the National Academy of Sciences, 3201-3202.
  2. Gotts SJ, Simmons WK, Milbury LA, Wallace GL, Cox R, Martin A. (2012). Fractionation of social brain circuits in autism spectrum disorders. Brain, 2711-2755.
  3. Plitt M, Barnes KA, Wallace GL, Kenworthy L, Martin A. (2015).Resting-state functional connectivity predicts longitudinal change in autistic traits and adaptive functioning in autism. Proceedings of the National Academy of Sciences, 112, E 6699 –E6706, 2015.
  4. Ramot M, Kimmich S, Gonzalez-Castillo J, Roopchansingh V, Popal H, White E, Gotts SJ, Martin A. (2017). Direct modulation of aberrant brain network connectivity through real-time NeuroFeedback. eLife 2017;6:e28974 DOI: 10.7554/eLife.28974.
  5. Ramot M, Martin A. Closed-loop neuromodulation for studying spontaneous activity and causality. Trends in Cognitive Science, 26, 2022.


  • Dr. Alex Martin received his B.A. from the City College of New York and his Ph.D. from the City University of New York. He did his post-doctoral work at the National Institute of Neurological Disorders and Stroke on the breakdown of language and memory processes in Alzheimer's disease. In 1985 he joined the faculty of the Uniformed Services University of the Health Sciences where he studied cognitive dysfunction associated with HIV infection. In 1990 he moved to the National Institute of Mental Health, NIH, where he continued his work on cognitive abnormalities in neuropsychiatric disorders, and on elucidating the neural circuitry associated with specific perceptual, memory, and social functions in the normally developing brain using functional brain imaging technologies. His work has been cited more than 44,000 times. He is the Chief of the Cognitive Neuropsychology Section of the Laboratory of Brain and Cognition, and the Acting Chief of that Laboratory. Dr. Martin is an elected Fellow of the American Association for the Advancement of Science, the Association for Psychological Science, and the American Psychological Association.