Neural mechanisms of cue-approach training.
Biasing choices may prove a useful way to implement behavior change. Previous work has shown that a simple training task (the cue-approach task), which does not rely on external reinforcement, can robustly influence choice behavior by biasing choice toward items that were targeted during training. In the current study, we replicate previous behavioral findings and explore the neural mechanisms underlying the shift in preferences following cue-approach training. Given recent successes in the development and application of machine learning techniques to task-based fMRI data, which have advanced understanding of the neural substrates of cognition, we sought to leverage the power of these techniques to better understand neural changes during cue-approach training that subsequently led to a shift in choice behavior. Contrary to our expectations, we found that machine learning techniques applied to fMRI data during non-reinforced training were unsuccessful in elucidating the neural mechanism underlying the behavioral effect. However, univariate analyses during training revealed that the relationship between BOLD and choices for Go items increases as training progresses compared to choices of NoGo items primarily in lateral prefrontal cortical areas. This new imaging finding suggests that preferences are shifted via differential engagement of task control networks that interact with value networks during cue-approach training.
Imaging Research Center, The University of Texas at Austin, 100 E 24th St, Stop R9975, Austin, TX 78712, USA; Department of Neuroscience, The University of Texas at Austin, 100 E 24th St, Stop C7000, Austin, TX 78712, USA.
Akram
A
Bakkour
Imaging Research Center, The University of Texas at Austin, 100 E 24th St, Stop R9975, Austin, TX 78712, USA; Department of Neuroscience, The University of Texas at Austin, 100 E 24th St, Stop C7000, Austin, TX 78712, USA; Department of Psychology, The University of Texas at Austin, 108 E Dean Keeton, Stop A8000, Austin, TX 78712, USA.
Jarrod A
JA
Lewis-Peacock
Imaging Research Center, The University of Texas at Austin, 100 E 24th St, Stop R9975, Austin, TX 78712, USA; Department of Neuroscience, The University of Texas at Austin, 100 E 24th St, Stop C7000, Austin, TX 78712, USA; Department of Psychology, The University of Texas at Austin, 108 E Dean Keeton, Stop A8000, Austin, TX 78712, USA.
Russell A
RA
Poldrack
Imaging Research Center, The University of Texas at Austin, 100 E 24th St, Stop R9975, Austin, TX 78712, USA; Department of Neurobiology, Faculty of Life Sciences and Sagol School of Neuroscience, Tel Aviv University, P.O. Box 39040, Tel Aviv 6997801, Israel. Electronic address: schonberg@post.tau.ac.il.
Tom
T
Schonberg
D000293:Adolescent; D000328:Adult; D001921:Brain / Q000502:physiology*; D001931:Brain Mapping / Q000379:methods; D002755:Choice Behavior / Q000502:physiology*; D003463:Cues; D005260:Female; D006801:Humans; D008279:Magnetic Resonance Imaging; D008297:Male; D060388:Support Vector Machine; D055815:Young Adult
Behavioral change; Cue-approach training; Value-based decision making
Science. 2001 Sep 28;293(5539):2425-30
11577229
Neuroimage. 2003 Jun;19(2 Pt 1):261-70
12814577
Neuroimage. 2003 Jun;19(2 Pt 1):430-41
12814592
Neuroimage. 2004 Jan;21(1):387-400
14741676
Science. 2004 Apr 16;304(5669):452-4
15087550
Neuroimage. 2004 Jul;22(3):1060-75
15219578
Learn Mem. 2004 Sep-Oct;11(5):485-94
15466298
Neuroimage. 2004;23 Suppl 1:S208-19
15501092
Science. 2005 Dec 23;310(5756):1963-6
16373577
Nature. 2006 May 11;441(7090):223-6
16633341
Neuron. 2006 Jun 1;50(5):799-812
16731517
Science. 2006 Aug 4;313(5787):684-7
16888142
Trends Cogn Sci. 2006 Sep;10(9):424-30
16899397
Curr Biol. 2007 Feb 20;17(4):323-8
17291759
Proc Natl Acad Sci U S A. 2007 Jun 26;104(26):11073-8
17576922
J Neurosci. 2007 Sep 12;27(37):9984-8
17855612
Psychol Rev. 2007 Oct;114(4):843-63
17907866
Nat Neurosci. 2008 May;11(5):543-5
18408715
J Neurosci. 2008 Aug 27;28(35):8765-71
18753378
PLoS One. 2008;3(11):e3690
18997869
J Exp Psychol Gen. 2008 Nov;137(4):649-72
18999358
Soc Cogn Affect Neurosci. 2009 Mar;4(1):101-9
19151374
Science. 2009 May 1;324(5927):646-8
19407204
Eur J Neurosci. 2009 Jun;29(11):2225-32
19490086
Neuroimage. 2009 Oct 15;48(1):63-72
19573611
Science. 2009 Oct 23;326(5952):596-9
19745115
Curr Biol. 2009 Oct 13;19(19):1608-15
19781939
Proc Natl Acad Sci U S A. 2009 Oct 20;106(42):17974-9
19805050
Cognition. 2010 Apr;115(1):118-32
20080232
PLoS Biol. 2010 Mar 16;8(3):e1000337
20305721
Magn Reson Med. 2010 May;63(5):1144-53
20432285
Nat Neurosci. 2010 Jun;13(6):667-8
20436482
Neuroimage. 2011 Feb 1;54(3):2418-25
20974270
Neuroimage. 2011 May 15;56(2):387-99
21172442
J Cogn Neurosci. 2011 Nov;23(11):3388-99
21452946
Cochrane Database Syst Rev. 2011 Apr 13;(4):CD004307
21491388
Nat Methods. 2011 Jun 26;8(8):665-70
21706013
Annu Rev Psychol. 2012;63:483-509
21943172
J Cogn Neurosci. 2012 Jan;24(1):61-79
21955164
Neuroimage. 2012 Feb 1;59(3):2142-54
22019881
Addiction. 2012 Jul;107(7):1280-7
22296168
Science. 2012 Sep 21;337(6101):1492-5
22997327
Comput Math Methods Med. 2012;2012:961257
23401720
Nat Neurosci. 2013 Apr;16(4):479-85
23416449
Neuroimage. 2013 Aug 1;76:412-27
23507394
Hum Brain Mapp. 2014 May;35(5):1981-96
23861343
J Cogn Neurosci. 2014 Feb;26(2):247-68
24116842
Front Psychol. 2013 Nov 26;4:875
24324451
Psychol Rev. 2014 Jan;121(1):66-95
24490789
Nat Neurosci. 2014 Apr;17(4):625-30
24609465
J Neurosci. 2014 May 28;34(22):7580-6
24872562
Cereb Cortex. 2015 Oct;25(10):3303-13
24935778
J Exp Psychol Gen. 2014 Dec;143(6):2316-29
25313953
Appetite. 2015 Feb;85:91-103
25447023
Neuroimage. 2015 Jul 1;114:249-56
25800207
Front Psychol. 2016 Mar 23;7:421
27047435
Behav Sci. 1964 Jul;9(3):226-32
5888778
Psychol Bull. 1993 Jul;114(1):80-99
8346330
J Clin Psychol. 1995 Nov;51(6):768-74
8778124
Biometrics. 1997 Sep;53(3):983-97
9333350
Neuroimage. 1999 Feb;9(2):179-94
9931268