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UID:20251130T095655EST-9517ltAN2n@132.216.98.100
DTSTAMP:20251130T145655Z
DESCRIPTION:Pragmatic Computational Psychiatry: Towards Precision in Diagno
 stic\, Prognostic\, and Treatment-related Objective Markers in Mood and An
 xiety Disorders\n\nDr. Martin Paulus\, MD\n\nDr. Martin Paulus\, MD has be
 en the Scientific Director and President of the Laureate Institute for Bra
 in Research (LIBR) in Tulsa\, OK since May 2014. Prior he had been a Profe
 ssor in the Department of Psychiatry at the University of California San D
 iego and the Director of Telemental Health at the Veterans Affairs San Die
 go Health Care System. Dr. Paulus has a Google Scholar h-index of 101 and 
 has published over 400 peer-reviewed manuscripts. Dr. Paulus is the Deputy
  Editor of JAMA Psychiatry\, a Series Editor for Current Topics in Behavio
 ral Neuroscience\, and is on several editorial boards of top-tier psychiat
 ric journals. He has served on numerous NIH and International Study Sectio
 ns and is currently on the National Institute of Mental Health Board of Sc
 ientific Councilors. The goal for LIBR is to identify disease-modifying pr
 ocesses (DMP) based on circuits\, behavior\, or other levels of analysis\,
  which – when modulated – change (1) the risk for\, (2) the severity of\, 
 or (3) the recurrence of a disease such as mood\, anxiety\, or substance u
 se disorder. Dr. Paulus’ program of research is to delineate DMPs and prov
 ide pathways towards the development of process-specific transdiagnostic i
 nterventions that have pragmatic utility\, i.e. improve a patient’s condit
 ion faster with fewer side effects and fewer recurrences\, and explanatory
  value\, i.e. refine our understanding of the causal relationships between
  specific processes and a mental health condition.\n\nAbout the presentati
 on\n\nMood and Anxiety Disorders are the most prevalent and disabling ment
 al health conditions worldwide [1]. There are limited explanatory [2] and 
 predictive [3] disease models available for these conditions. Evidence fro
 m multiple studies focused on explanatory and predictive disease models in
  psychiatry support the idea that there is not one overarching process tha
 t explains or predicts Mood or Anxiety Disorders [4]. On the other hand\, 
 there is also limited evidence for dis-ease process heterogeneity among ps
 ychiatric disorders [5] and meta-analyses of treatment studies do not supp
 ort the hypothesis that there are heterogeneous treatment effects of exist
 ing treatments [6\,7]. This leads to a conundrum. One the one hand there i
 s no evidence of a homogenous process that underlies any given psychiatric
  disorder\, on the other hand there is no evidence of interventions workin
 g better for some individuals with a given psychiatric disorder than anoth
 er. One possibility that is emerging is that psychiatric disorders as curr
 ently defined consist of a mixture of disordered processes that occur on d
 ifferent levels of analyses and yield disease states that are highly uniqu
 e for any given individual. Moreover\, since current interventions do not 
 specifically target any particular disease process it should not be surpri
 sing that these interventions do not give rise to heterogeneous treatment 
 effects.\n\nPanel Discussion\n\nA panel will follow the presentation to ad
 vance precision convergence science in discussing how mathematical algorit
 hmic approaches can develop a quantitative mechanistic understanding of th
 e brain and society multiscale processes that underlie mental health and d
 isease to inform better targeted and more effective practical applications
  based on model-based analyses. Discussion will address how such knowledge
  can inform better targeted and more impactful professional practice/innov
 ation/interventions for lifelong socio-emotional wellness and resilience i
 n both health and disease. The webinar is chaired by Prof. Laurette Dubé\,
  Chair and Scientific Director\, 9IÖÆ×÷³§Ãâ·Ñ Centre for the Convergence of Heal
 th and Eco-nomic (MCCHE)\, and co-chaired by Dr. Gillian Bartlett\, Associ
 ate Dean for Population Health and Outcomes Research at the School of Medi
 cine at the University of Missouri (Mizzou).\n
DTSTART:20210113T160000Z
DTEND:20210113T180000Z
SUMMARY:Brain to Society: Decision and Behavior Seminar Series with Dr. Mar
 tin Paulus\, MD
URL:/desautels/channels/event/brain-society-decision-a
 nd-behavior-seminar-series-dr-martin-paulus-md-327232
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