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A new paradigm for investigating real-world social behavior and its neural underpinnings.
Alreja, Arish; Ward, Michael J; Ma, Qianli; Russ, Brian E; Bickel, Stephan; Van Wouwe, Nelleke C; González-Martínez, Jorge A; Neimat, Joseph S; Abel, Taylor J; Bagic, Anto; Parker, Lisa S; Richardson, R Mark; Schroeder, Charles E; Morency, Louis-Philippe; Ghuman, Avniel Singh.
Affiliation
  • Alreja A; Center for the Neural Basis of Cognition, Carnegie Mellon University and University of Pittsburgh, Pittsburgh, USA. aalreja@andrew.cmu.edu.
  • Ward MJ; Neuroscience Institute, Carnegie Mellon University, Pittsburgh, USA. aalreja@andrew.cmu.edu.
  • Ma Q; Machine Learning Department, Carnegie Mellon University, Pittsburgh, USA. aalreja@andrew.cmu.edu.
  • Russ BE; Department of Neurological Surgery, University of Pittsburgh, Pittsburgh, USA. aalreja@andrew.cmu.edu.
  • Bickel S; Department of Neurological Surgery, University of Pittsburgh, Pittsburgh, USA.
  • Van Wouwe NC; David Geffen School of Medicine, University of California Los Angeles, Los Angeles, USA.
  • González-Martínez JA; Language Technologies Institute, Carnegie Mellon University, Pittsburgh, USA.
  • Neimat JS; Nathan Kline Institute for Psychiatric Research, Orangeburg, USA.
  • Abel TJ; Department of Neurosurgery and Neurology, Northwell Health, The Feinstein Institutes for Medical Research, Manhasset, USA.
  • Bagic A; Department of Neurological Surgery, University of Louisville, Louisville, USA.
  • Parker LS; Department of Neurological Surgery, University of Pittsburgh, Pittsburgh, USA.
  • Richardson RM; Department of Neurological Surgery, University of Louisville, Louisville, USA.
  • Schroeder CE; Center for the Neural Basis of Cognition, Carnegie Mellon University and University of Pittsburgh, Pittsburgh, USA.
  • Morency LP; Department of Neurological Surgery, University of Pittsburgh, Pittsburgh, USA.
  • Ghuman AS; Brain Institute, University of Pittsburgh, Pittsburgh, USA.
Behav Res Methods ; 55(5): 2333-2352, 2023 08.
Article in En | MEDLINE | ID: mdl-35877024
ABSTRACT
Eye tracking and other behavioral measurements collected from patient-participants in their hospital rooms afford a unique opportunity to study natural behavior for basic and clinical translational research. We describe an immersive social and behavioral paradigm implemented in patients undergoing evaluation for surgical treatment of epilepsy, with electrodes implanted in the brain to determine the source of their seizures. Our studies entail collecting eye tracking with other behavioral and psychophysiological measurements from patient-participants during unscripted behavior, including social interactions with clinical staff, friends, and family in the hospital room. This approach affords a unique opportunity to study the neurobiology of natural social behavior, though it requires carefully addressing distinct logistical, technical, and ethical challenges. Collecting neurophysiological data synchronized to behavioral and psychophysiological measures helps us to study the relationship between behavior and physiology. Combining across these rich data sources while participants eat, read, converse with friends and family, etc., enables clinical-translational research aimed at understanding the participants' disorders and clinician-patient interactions, as well as basic research into natural, real-world behavior. We discuss data acquisition, quality control, annotation, and analysis pipelines that are required for our studies. We also discuss the clinical, logistical, and ethical and privacy considerations critical to working in the hospital setting.
Subject(s)

Full text: 1 Collection: 01-internacional Health context: 1_ASSA2030 Database: MEDLINE Main subject: Social Behavior / Brain Aspects: Ethics Limits: Humans Language: En Journal: Behav Res Methods Year: 2023 Document type: Article

Full text: 1 Collection: 01-internacional Health context: 1_ASSA2030 Database: MEDLINE Main subject: Social Behavior / Brain Aspects: Ethics Limits: Humans Language: En Journal: Behav Res Methods Year: 2023 Document type: Article