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A neurocomputational account of reward and novelty processing and effects of psychostimulants in attention deficit hyperactivity disorder.pdf (777.83 kB)

A neurocomputational account of reward and novelty processing and effects of psychostimulants in attention deficit hyperactivity disorder

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posted on 2023-06-09, 12:29 authored by Arjun Sethi, Valerie Voon, Hugo CritchleyHugo Critchley, Mara Cercignani, Neil Harrison
Computational models of reinforcement learning have helped dissect discrete components of reward-related function and characterize neurocognitive deficits in psychiatric illnesses. Stimulus novelty biases decision making, even when unrelated to choice outcome, acting as if possessing intrinsic reward value to guide decisions toward uncertain options. Heightened novelty seeking is characteristic of attention deficit hyperactivity disorder, yet how this influences reward-related decision-making is computationally encoded, or is altered by stimulant medication, is currently uncertain. Here we used an established reinforcement-learning task to model effects of novelty on reward-related behaviour during functional MRI in 30 adults with attention deficit hyperactivity disorder and 30 age-, sex- and IQ-matched control subjects. Each participant was tested on two separate occasions, once ON and once OFF stimulant medication. OFF medication, patients with attention deficit hyperactivity disorder showed significantly impaired task performance (P = 0.027), and greater selection of novel options (P = 0.004). Moreover, persistence in selecting novel options predicted impaired task performance (P = 0.025). These behavioural deficits were accompanied by a significantly lower learning rate (P = 0.011) and heightened novelty signalling within the substantia nigra/ventral tegmental area (family-wise error corrected P < 0.05). Compared to effects in controls, stimulant medication improved attention deficit hyperactivity disorder participants’ overall task performance (P = 0.011), increased reward-learning rates (P = 0.046) and enhanced their ability to differentiate optimal from non-optimal novel choices (P = 0.032). It also reduced substantia nigra/ventral tegmental area responses to novelty. Preliminary cross-sectional evidence additionally suggested an association between long-term stimulant treatment and a reduction in the rewarding value of novelty. These data suggest that aberrant substantia nigra/ventral tegmental area novelty processing plays an important role in the suboptimal reward-related decision-making characteristic of attention deficit hyperactivity disorder. Compared to effects in controls, abnormalities in novelty processing and reward-related learning were improved by stimulant medication, suggesting that they may be disorder-specific targets for the pharmacological management of attention deficit hyperactivity disorder symptoms.

Funding

Mechanisms of Human Sickness; G0043; WELLCOME TRUST; 093881/Z/10/Z

Sackler Centre - donation; G1813; SACKLER-DR MORTIMER AND THERESA SACKLER FOUNDATION

History

Publication status

  • Published

File Version

  • Published version

Journal

Brain

ISSN

0006-8950

Publisher

Oxford University Press

Issue

5

Volume

141

Page range

1545-1557

Department affiliated with

  • BSMS Neuroscience Publications

Research groups affiliated with

  • Sackler Centre for Consciousness Science Publications

Full text available

  • Yes

Peer reviewed?

  • Yes

Legacy Posted Date

2018-03-16

First Open Access (FOA) Date

2018-03-16

First Compliant Deposit (FCD) Date

2018-03-16

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