Literature DB >> 28842409

Time of Day Differences in Neural Reward Functioning in Healthy Young Men.

Jamie E M Byrne1, Matthew E Hughes1,2, Susan L Rossell1,3,4, Sheri L Johnson5, Greg Murray6.   

Abstract

Reward function appears to be modulated by the circadian system, but little is known about the neural basis of this interaction. Previous research suggests that the neural reward response may be different in the afternoon; however, the direction of this effect is contentious. Reward response may follow the diurnal rhythm in self-reported positive affect, peaking in the early afternoon. An alternative is that daily reward response represents a type of prediction error, with neural reward activation relatively high at times of day when rewards are unexpected (i.e., early and late in the day). The present study measured neural reward activation in the context of a validated reward task at 10.00 h, 14.00 h, and 19.00 h in healthy human males. A region of interest BOLD fMRI protocol was used to investigate the diurnal waveform of activation in reward-related brain regions. Multilevel modeling found, as expected, a highly significant quadratic time-of-day effect focusing on the left putamen (p < 0.001). Consistent with the "prediction error" hypothesis, activation was significantly higher at 10.00 h and 19.00 h compared with 14.00 h. It is provisionally concluded that the putamen may be particularly important in endogenous priming of reward motivation at different times of day, with the pattern of activation consistent with circadian-modulated reward expectancies in neural pathways (i.e., greater activation to reward stimuli at unexpected times of day). This study encourages further research into circadian modulation of reward and underscores the methodological importance of accounting for time of day in fMRI protocols.SIGNIFICANCE STATEMENT This is one of the first studies to use a repeated-measures imaging procedure to explore the diurnal rhythm of reward activation. Although self-reported reward (most often operationalized as positive affect) peaks in the afternoon, the present findings indicate that neural activation is lowest at this time. We conclude that the diurnal neural activation pattern may reflect a prediction error of the brain, where rewards at unexpected times (10.00 h and 19.00 h) elicit higher activation in reward brain regions than at expected (14.00 h) times. These data also have methodological significance, suggesting that there may be a time of day influence, which should be accounted for in neural reward studies.
Copyright © 2017 the authors 0270-6474/17/378895-06$15.00/0.

Entities:  

Keywords:  circadian; diurnal; putamen; reward; sleep; striatum

Mesh:

Year:  2017        PMID: 28842409      PMCID: PMC6596793          DOI: 10.1523/JNEUROSCI.0918-17.2017

Source DB:  PubMed          Journal:  J Neurosci        ISSN: 0270-6474            Impact factor:   6.167


  40 in total

1.  Tracking the hemodynamic responses to reward and punishment in the striatum.

Authors:  M R Delgado; L E Nystrom; C Fissell; D C Noll; J A Fiez
Journal:  J Neurophysiol       Date:  2000-12       Impact factor: 2.714

2.  Temporal difference models and reward-related learning in the human brain.

Authors:  John P O'Doherty; Peter Dayan; Karl Friston; Hugo Critchley; Raymond J Dolan
Journal:  Neuron       Date:  2003-04-24       Impact factor: 17.173

3.  Neuronal activity in monkey ventral striatum related to the expectation of reward.

Authors:  W Schultz; P Apicella; E Scarnati; T Ljungberg
Journal:  J Neurosci       Date:  1992-12       Impact factor: 6.167

Review 4.  About being BOLD.

Authors:  Dinesh G Nair
Journal:  Brain Res Brain Res Rev       Date:  2005-10-05

5.  Dopamine production in the caudate putamen restores feeding in dopamine-deficient mice.

Authors:  M S Szczypka; K Kwok; M D Brot; B T Marck; A M Matsumoto; B A Donahue; R D Palmiter
Journal:  Neuron       Date:  2001-06       Impact factor: 17.173

6.  Sensitized increase of period gene expression in the mouse caudate/putamen caused by repeated injection of methamphetamine.

Authors:  T Nikaido; M Akiyama; T Moriya; S Shibata
Journal:  Mol Pharmacol       Date:  2001-04       Impact factor: 4.436

Review 7.  Getting formal with dopamine and reward.

Authors:  Wolfram Schultz
Journal:  Neuron       Date:  2002-10-10       Impact factor: 17.173

8.  Clock genes outside the suprachiasmatic nucleus involved in manifestation of locomotor activity rhythm in rats.

Authors:  S Masubuchi; S Honma; H Abe; K Ishizaki; M Namihira; M Ikeda; K Honma
Journal:  Eur J Neurosci       Date:  2000-12       Impact factor: 3.386

9.  Temporal prediction errors in a passive learning task activate human striatum.

Authors:  Samuel M McClure; Gregory S Berns; P Read Montague
Journal:  Neuron       Date:  2003-04-24       Impact factor: 17.173

10.  Mood and the circadian system: investigation of a circadian component in positive affect.

Authors:  Greg Murray; Nicholas B Allen; John Trinder
Journal:  Chronobiol Int       Date:  2002-11       Impact factor: 2.877

View more
  13 in total

1.  Evidence of a diurnal rhythm in implicit reward learning.

Authors:  Alexis E Whitton; Malavika Mehta; Manon L Ironside; Greg Murray; Diego A Pizzagalli
Journal:  Chronobiol Int       Date:  2018-04-24       Impact factor: 2.877

2.  Conscious and unconscious brain responses to food and cocaine cues.

Authors:  Corinde E Wiers; Jizheng Zhao; Peter Manza; Kristina Murani; Veronica Ramirez; Amna Zehra; Clara Freeman; Kai Yuan; Gene-Jack Wang; Sükrü Barış Demiral; Anna Rose Childress; Dardo Tomasi; Nora D Volkow
Journal:  Brain Imaging Behav       Date:  2021-02       Impact factor: 3.978

3.  Future Directions for Understanding Adolescent Bipolar Spectrum Disorders: A Reward Hypersensitivity Perspective.

Authors:  Lauren B Alloy; Robin Nusslock
Journal:  J Clin Child Adolesc Psychol       Date:  2019-03-25

4.  Assessing the joint effects of brain aging and gut microbiota on the risks of psychiatric disorders.

Authors:  Huijie Zhang; Li Liu; Shiqiang Cheng; Yumeng Jia; Yan Wen; Xuena Yang; Peilin Meng; Chun'e Li; Chuyu Pan; Yujing Chen; Zhen Zhang; Jingxi Zhang; Feng Zhang
Journal:  Brain Imaging Behav       Date:  2022-01-25       Impact factor: 3.224

5.  Ideal Time of Day for Risky Decision Making: Evidence from the Balloon Analogue Risk Task.

Authors:  Mingzhu Li; Zifeng Mai; Jiayu Yang; Bin Zhang; Ning Ma
Journal:  Nat Sci Sleep       Date:  2020-07-16

6.  Adolescents at high risk of obesity show greater striatal response to increased sugar content in milkshakes.

Authors:  Grace E Shearrer; Eric Stice; Kyle S Burger
Journal:  Am J Clin Nutr       Date:  2018-06-01       Impact factor: 7.045

7.  Smoking-induced craving relief relates to increased DLPFC-striatal coupling in nicotine-dependent women.

Authors:  Teresa R Franklin; Kanchana Jagannathan; Nathaniel H Spilka; Heather Keyser; Hengy Rao; Alice V Ely; Amy C Janes; Reagan R Wetherill
Journal:  Drug Alcohol Depend       Date:  2021-02-13       Impact factor: 4.492

8.  Dynamic decision policy reconfiguration under outcome uncertainty.

Authors:  Krista Bond; Kyle Dunovan; Alexis Porter; Jonathan E Rubin; Timothy Verstynen
Journal:  Elife       Date:  2021-12-24       Impact factor: 8.140

9.  Experimentally imposed circadian misalignment alters the neural response to monetary rewards and response inhibition in healthy adolescents.

Authors:  Brant P Hasler; Adriane M Soehner; Meredith L Wallace; Ryan W Logan; Wambui Ngari; Erika E Forbes; Daniel J Buysse; Duncan B Clark
Journal:  Psychol Med       Date:  2021-03-17       Impact factor: 10.592

10.  Time of day is associated with paradoxical reductions in global signal fluctuation and functional connectivity.

Authors:  Csaba Orban; Ru Kong; Jingwei Li; Michael W L Chee; B T Thomas Yeo
Journal:  PLoS Biol       Date:  2020-02-18       Impact factor: 8.029

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.