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SUMMARY:A mathematical model of reward-mediated learning in drug addiction
- Professor Maria D'Orsogna (Dept of Mathematics California State Univers
ity Northridge)
DTSTART;VALUE=DATE-TIME:20210305T140000Z
DTEND;VALUE=DATE-TIME:20210305T150000Z
UID:https://talks.ox.ac.uk/talks/id/b5b7434b-a89f-4a40-9be0-1840b267209e/
DESCRIPTION:We propose a mathematical model that unifies the psychiatric c
oncepts of drug-induced incentive salience (IST)\, reward prediction error
\n\n(RPE) and opponent process theory (OPT) to describe the emergence of a
ddiction within substance abuse. The biphasic reward response (initially\n
\npositive\, then negative) of the OPT is activated by a drug-induced dopa
mine release\, and evolves according to neuro-adaptative brain\n\nprocesse
s. Successive drug intakes enhance the negative component of the reward r
esponse\, which the user compensates for by increasing the\n\ndrug dose.
Further neuroadaptive processes ensue\, creating a positive feedback betwe
en physiological changes and user-controlled drug\n\nintake. Our drug resp
onse model can give rise to qualitatively different pathways for an initia
lly naive user to become fully addicted. The\n\npath to addiction is repr
esented by trajectories in parameter space that depend on the RPE\, drug i
ntake\, and neuroadaptive changes.\n\nWe will discuss how our model can be
used to guide detoxification protocols using auxiliary substances such as
methadone\, to mitigate withdrawal symptoms.\n\nIf this is useful here ar
e my co-authors:\nDavide Maestrini\, Tom Chou\, Maria R. D'Orsogna\nSpeake
rs:\nProfessor Maria D'Orsogna (Dept of Mathematics California State Unive
rsity Northridge)
LOCATION:Mathematical Institute\, Woodstock Road OX2 6GG
TZID:Europe/London
URL:https://talks.ox.ac.uk/talks/id/b5b7434b-a89f-4a40-9be0-1840b267209e/
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DESCRIPTION:Talk:A mathematical model of reward-mediated learning in drug
addiction - Professor Maria D'Orsogna (Dept of Mathematics California Stat
e University Northridge)
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