FMRI Visualization of Brain Activity during a Monetary Incentive Delay Task

NeuroImage ◽  
2000 ◽  
Vol 12 (1) ◽  
pp. 20-27 ◽  
Author(s):  
Brian Knutson ◽  
Andrew Westdorp ◽  
Erica Kaiser ◽  
Daniel Hommer
2020 ◽  
Vol 34 (9) ◽  
pp. 969-980 ◽  
Author(s):  
Will Lawn ◽  
James Hill ◽  
Chandni Hindocha ◽  
Jocelyn Yim ◽  
Yumeya Yamamori ◽  
...  

Background: Cannabidiol has potential therapeutic benefits for people with psychiatric disorders characterised by reward function impairment. There is existing evidence that cannabidiol may influence some aspects of reward processing. However, it is unknown whether cannabidiol acutely affects brain function underpinning reward anticipation and feedback. Hypotheses: We predicted that cannabidiol would augment brain activity associated with reward anticipation and feedback. Methods: We administered a single 600 mg oral dose of cannabidiol and matched placebo to 23 healthy participants in a double-blind, placebo-controlled, repeated-measures design. We employed the monetary incentive delay task during functional magnetic resonance imaging to assay the neural correlates of reward anticipation and feedback. We conducted whole brain analyses and region-of-interest analyses in pre-specified reward-related brain regions. Results: The monetary incentive delay task elicited expected brain activity during reward anticipation and feedback, including in the insula, caudate, nucleus accumbens, anterior cingulate and orbitofrontal cortex. However, across the whole brain, we did not find any evidence that cannabidiol altered reward-related brain activity. Moreover, our Bayesian analyses showed that activity in our regions-of-interest was similar following cannabidiol and placebo. Additionally, our behavioural measures of motivation for reward did not show a significant difference between cannabidiol and placebo. Discussion: Cannabidiol did not acutely affect the neural correlates of reward anticipation and feedback in healthy participants. Future research should explore the effects of cannabidiol on different components of reward processing, employ different doses and administration regimens, and test its reward-related effects in people with psychiatric disorders.


2021 ◽  
Vol 89 (9) ◽  
pp. S303-S304
Author(s):  
Jack Kaufman ◽  
Joseph Kim ◽  
Anna Bradford ◽  
Jacob Germain ◽  
Victor Patron ◽  
...  

NeuroImage ◽  
2020 ◽  
Vol 207 ◽  
pp. 116368 ◽  
Author(s):  
Isha Dhingra ◽  
Sheng Zhang ◽  
Simon Zhornitsky ◽  
Thang M. Le ◽  
Wuyi Wang ◽  
...  

2015 ◽  
Vol 146 ◽  
pp. e151
Author(s):  
Jane Joseph ◽  
X. Zhu ◽  
C. Benca ◽  
G. Baik ◽  
F. Davies ◽  
...  

2016 ◽  
Vol 22 (6) ◽  
pp. 1576-1589 ◽  
Author(s):  
Liam J Nestor ◽  
Anna Murphy ◽  
John McGonigle ◽  
Csaba Orban ◽  
Laurence Reed ◽  
...  

2013 ◽  
Vol 74 (7) ◽  
pp. 529-537 ◽  
Author(s):  
Krishna T. Patel ◽  
Michael C. Stevens ◽  
Shashwath A. Meda ◽  
Christine Muska ◽  
Andre D. Thomas ◽  
...  

2021 ◽  
Author(s):  
◽  
Vera Christine Deppert

Increased intraindividual variability of reaction time is a main cognitive feature of Attention Deficit Hyperactivity Disorder. It is associated with deficits in sustained attention. While traditionally, mean and variance were used to characterize reaction time distributions, the ex-gaussian distributional model allows a more sophisticated analysis of reaction time series. Reaction time distributions are separated in a normal and an exponential component. The present study investigates the impact of incentives on reaction time variability in a sample of adult ADHD patients. ADHD is associated with increased Tau, the output parameter of the ex-gaussian model characterizing the exponential part of the distribution. Tau is linked to “lapses of attention”, which are more frequent in ADHD patients. It is known that tau can be modulated in ADHD Patients. It was therefore postulated that tau would be higher in ADHD Patients in a paradigm where quick answers were required but could be modulated by monetary incentives. In addition, the effect of “delay discounting”, which is more distinct in ADHD patients, on reaction time variability was investigated. Eventually, the association of variability measures with strength of ADHD symptoms was tested. To this end, reaction time distributions of 62 adult ADHD patients and 45 healthy controls from two different reaction time paradigms were analyzed. The monetary incentive delay task, by comprehending a control – and a win condition, allows an investigation of the effect of incentives on reaction times. Subjects had to react as fast as possible by keypress to a stimulus, after a cue signaled a possible monetary reward. During the Delay-Discounting-Task, subjects had to choose between sooner, but smaller, and higher delayed monetary rewards, during which they could use as much time for consideration as desired. Results show that an increased Tau in the control condition of the monetary- incentive-delay-task could be replicated, while a distinct influence of the win condition emerged. Subjects with ADHD showed an improvement of Tau in the win condition even below the level of healthy controls. However, they showed increased variability of the “regular” responses around the mean of the normal component of the distribution, represented by sigma. Moreover, it was indicated by trend a higher reaction time variability in ADHD patients during choices of delayed rewards. Tau was associated the current symptom strength as well as with the strength of ADHD-Symptoms during childhood, assessed by questionnaire. While the present results could have implications for etiological models of the disease, they may also contribute to the development of novel diagnostic methods. In advanced studies, neural correlates of sophisticated measures of reaction time variability should be investigated. Furthermore, they should be associated with genetic risk factors with regard to possible endophenotypes. Possible implications for clinical handling of patients should be explored.


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