Examining neuroanatomical correlates of win-stay, lose-shift behaviour

Adrián-Ventura J, Costumero V, Parcet MA, Ávila C (2019) Linking personality and brain anatomy: a structural MRI approach to reinforcement sensitivity theory. Soc Cognit Affect Neurosci 14(3):329–338. https://doi.org/10.1093/scan/nsz011

Article  Google Scholar 

Alexander-Bloch A, Giedd JN, Bullmore E (2013) Imaging structural co-variance between human brain regions. Nat Rev Neurosci 14(5):322–336. https://doi.org/10.1038/nrn3465

Article  CAS  PubMed  PubMed Central  Google Scholar 

Amemori K, Amemori S, Graybiel AM (2015) Motivation and affective judgments differentially recruit neurons in the primate dorsolateral prefrontal and anterior cingulate cortex. J Neurosci 35(5):1939–1953. https://doi.org/10.1523/JNEUROSCI.1731-14.2015

Article  CAS  PubMed  PubMed Central  Google Scholar 

Ashburner J (2007) A fast diffeomorphic image registration algorithm. Neuroimage 38(1):95–113. https://doi.org/10.1016/j.neuroimage.2007.07.007

Article  PubMed  Google Scholar 

Ashburner J, Friston KJ (2000) Voxel-based morphometry—the methods. Neuroimage 11(6 Pt 1):805–821. https://doi.org/10.1006/nimg.2000.0582

Article  CAS  PubMed  Google Scholar 

Balleine BW, Delgado MR, Hikosaka O (2007) The role of the dorsal striatum in reward and decision-making. J Neurosci: Off J Soc Neurosci 27(31):8161–8165. https://doi.org/10.1523/JNEUROSCI.1554-07.2007

Article  CAS  Google Scholar 

Barraclough DJ, Conroy ML, Lee D (2004) Prefrontal cortex and decision making in a mixed-strategy game. Nat Neurosci 7(4):404–410. https://doi.org/10.1038/nn1209

Article  CAS  PubMed  Google Scholar 

Bechara A (2005) Decision making, impulse control and loss of willpower to resist drugs: a neurocognitive perspective. Nat Neurosci 8(11):1458–1463. https://doi.org/10.1038/nn1584

Article  CAS  PubMed  Google Scholar 

Bonawitz E, Denison S, Gopnik A, Griffiths TL (2014) Win-stay, lose-sample: a simple sequential algorithm for approximating Bayesian inference. Cogn Psychol 74:35–65. https://doi.org/10.1016/j.cogpsych.2014.06.003

Article  PubMed  Google Scholar 

Bourisly AK, El-Beltagi A, Cherian J, Gejo G, Al-Jazzaf A, Ismail M (2015) A voxel-based morphometric magnetic resonance imaging study of the brain detects age-related gray matter volume changes in healthy subjects of 21–45 years old. Neuroradiol J 28(5):450. https://doi.org/10.1177/1971400915598078

Article  PubMed  PubMed Central  Google Scholar 

Brevers D, Bechara A, Cleeremans A, Noel X (2013) Iowa gambling task (IGT): twenty years after—gambling disorder and IGT. Front Psychol. https://doi.org/10.3389/fpsyg.2013.00665

Article  PubMed  PubMed Central  Google Scholar 

Canessa N, Crespi C, Motterlini M, Baud-Bovy G, Chierchia G, Pantaleo G, Tettamanti M, Cappa SF (2013) The functional and structural neural basis of individual differences in loss aversion. J Neurosci: Off J Soc Neurosci 33(36):14307–14317. https://doi.org/10.1523/JNEUROSCI.0497-13.2013

Article  CAS  Google Scholar 

Canessa N, Crespi C, Baud-Bovy G, Dodich A, Falini A, Antonellis G, Cappa SF (2017) Neural markers of loss aversion in resting-state brain activity. Neuroimage 146:257–265. https://doi.org/10.1016/j.neuroimage.2016.11.050

Article  PubMed  Google Scholar 

Canessa N, Basso G, Poggi P, Gianelli C (2022) Altered striatal-opercular intrinsic connectivity reflects decreased aversion to losses in alcohol use disorder. Neuropsychologia 172:108258. https://doi.org/10.1016/j.neuropsychologia.2022.108258

Article  PubMed  Google Scholar 

Chen N, Zhou M, Dong X, Qu J, Gong F, Han Y, Qiu Y, Wang J, Liu Y, Wei Y, Xia J, Yu T, Zhang X, Zhang L (2020) Epidemiological and clinical characteristics of 99 cases of 2019 novel coronavirus pneumonia in Wuhan, China: a descriptive study. Lancet (London, England) 395(10223):507–513. https://doi.org/10.1016/S0140-6736(20)30211-7

Article  CAS  PubMed  Google Scholar 

Chu C, Cui S, Yuan Z, Yu C (2022) A win-stay-lose-learn mechanism based on aspiration can promote cooperation in a multigame. Chaos Solitons Fractals 159:112125. https://doi.org/10.1016/j.chaos.2022.112125

Article  Google Scholar 

Clark L, Lawrence AJ, Astley-Jones F, Gray N (2009) Gambling near-misses enhance motivation to gamble and recruit win-related brain circuitry. Neuron 61(3):481–490. https://doi.org/10.1016/j.neuron.2008.12.031

Article  CAS  PubMed  PubMed Central  Google Scholar 

Croson R, Sundali J (2005) The gambler’s fallacy and the hot hand: empirical data from casinos. J Risk Uncertain 30(3):195–209. https://doi.org/10.1007/s11166-005-1153-2

Article  Google Scholar 

Delgado MR, Nystrom LE, Fissell C, Noll DC, Fiez JA (2000) Tracking the hemodynamic responses to reward and punishment in the striatum. J Neurophysiol 84(6):3072–3077. https://doi.org/10.1152/jn.2000.84.6.3072

Article  CAS  PubMed  Google Scholar 

Deng X, Zhang Z, Deng Y, Liu Q, Chang S (2016) Self-adaptive win-stay-lose-shift reference selection mechanism promotes cooperation on a square lattice. Appl Math Comput 284:322–331. https://doi.org/10.1016/j.amc.2016.03.010

Article  Google Scholar 

Diekhof EK, Falkai P, Gruber O (2008) Functional neuroimaging of reward processing and decision-making: a review of aberrant motivational and affective processing in addiction and mood disorders. Brain Res Rev 59(1):164–184. https://doi.org/10.1016/j.brainresrev.2008.07.004

Article  PubMed  Google Scholar 

Donahue CH, Seo H, Lee D (2013) Cortical signals for rewarded actions and strategic exploration. Neuron 80(1):223–234. https://doi.org/10.1016/j.neuron.2013.07.040

Article  CAS  PubMed  PubMed Central  Google Scholar 

Dong G, Lin X, Zhou H, Lu Q (2014) How the win–lose balance situation affects subsequent decision-making: functional magnetic resonance imaging evidence from a gambling task. Neuroscience 272:131–140. https://doi.org/10.1016/j.neuroscience.2014.04.058

Article  CAS  PubMed  Google Scholar 

Dong G, Zhang Y, Xu J, Lin X, Du X (2015) How the risky features of previous selection affect subsequent decision-making: evidence from behavioral and fMRI measures. Front Neurosci. https://doi.org/10.3389/fnins.2015.00364

Article  PubMed  PubMed Central  Google Scholar 

Feng L, Isaac V, Sim S, Ng T-P, Krishnan KRR, Chee MWL (2013) Associations between elevated homocysteine, cognitive impairment, and reduced white matter volume in healthy old adults. Am J Geriatr Psychiatry 21(2):164–172. https://doi.org/10.1016/j.jagp.2012.10.017

Article  PubMed  Google Scholar 

Fields RD (2008) White matter in learning, cognition and psychiatric disorders. Trends Neurosci 31(7):361–370. https://doi.org/10.1016/j.tins.2008.04.001

Article  CAS  PubMed  PubMed Central  Google Scholar 

Filley CM (2010) White matter: organization and functional relevance. Neuropsychol Rev 20(2):158–173. https://doi.org/10.1007/s11065-010-9127-9

Article  PubMed  Google Scholar 

Fjell AM, Walhovd KB (2010) Structural brain changes in aging: courses, causes and cognitive consequences. Rev Neurosci 21(3):187–221. https://doi.org/10.1515/REVNEURO.2010.21.3.187

Article  PubMed  Google Scholar 

Fletcher E, Raman M, Huebner P, Liu A, Mungas D, Carmichael O, DeCarli C (2013) Loss of fornix white matter volume as a predictor of cognitive impairment in cognitively normal elderly individuals. JAMA Neurol 70(11):1389–1395. https://doi.org/10.1001/jamaneurol.2013.3263

Article  PubMed  PubMed Central  Google Scholar 

Foerde K, Race E, Verfaellie M, Shohamy D (2013) A role for the medial temporal lobe in feedback-driven learning: evidence from amnesia. J Neurosci 33(13):5698–5704. https://doi.org/10.1523/JNEUROSCI.5217-12.2013

Comments (0)

No login
gif