Altered neural anticipation of reward and loss but not receipt in adolescents with obsessive-compulsive disorder.
Adolescence
Loss
Obsessive-compulsive disorder
Orbitofrontal cortex
Reward
Ventral striatum
fMRI
Journal
BMC psychiatry
ISSN: 1471-244X
Titre abrégé: BMC Psychiatry
Pays: England
ID NLM: 100968559
Informations de publication
Date de publication:
14 May 2024
14 May 2024
Historique:
received:
10
11
2023
accepted:
02
05
2024
medline:
15
5
2024
pubmed:
15
5
2024
entrez:
14
5
2024
Statut:
epublish
Résumé
Obsessive-compulsive disorder (OCD) is characterized by persistent, unwanted thoughts and repetitive actions. Such repetitive thoughts and/or behaviors may be reinforced either by reducing anxiety or by avoiding a potential threat or harm, and thus may be rewarding to the individual. The possible involvement of the reward system in the symptomatology of OCD is supported by studies showing altered reward processing in reward-related regions, such as the ventral striatum (VS) and the orbitofrontal cortex (OFC), in adults with OCD. However, it is not clear whether this also applies to adolescents with OCD. Using functional magnetic resonance imaging, two sessions were conducted focusing on the anticipation and receipt of monetary reward (1) or loss (2), each contrasted to a verbal (control) condition. In each session, adolescents with OCD (n1=31/n2=26) were compared with typically developing (TD) controls (n1=33/ n2=31), all aged 10-19 years, during the anticipation and feedback phase of an adapted Monetary Incentive Delay task. Data revealed a hyperactivation of the VS, but not the OFC, when anticipating both monetary reward and loss in the OCD compared to the TD group. These findings suggest that aberrant neural reward and loss processing in OCD is associated with greater motivation to gain or maintain a reward but not with the actual receipt. The greater degree of reward 'wanting' may contribute to adolescents with OCD repeating certain actions more and more frequently, which then become habits (i.e., OCD symptomatology).
Sections du résumé
BACKGROUND
BACKGROUND
Obsessive-compulsive disorder (OCD) is characterized by persistent, unwanted thoughts and repetitive actions. Such repetitive thoughts and/or behaviors may be reinforced either by reducing anxiety or by avoiding a potential threat or harm, and thus may be rewarding to the individual. The possible involvement of the reward system in the symptomatology of OCD is supported by studies showing altered reward processing in reward-related regions, such as the ventral striatum (VS) and the orbitofrontal cortex (OFC), in adults with OCD. However, it is not clear whether this also applies to adolescents with OCD.
METHODS
METHODS
Using functional magnetic resonance imaging, two sessions were conducted focusing on the anticipation and receipt of monetary reward (1) or loss (2), each contrasted to a verbal (control) condition. In each session, adolescents with OCD (n1=31/n2=26) were compared with typically developing (TD) controls (n1=33/ n2=31), all aged 10-19 years, during the anticipation and feedback phase of an adapted Monetary Incentive Delay task.
RESULTS
RESULTS
Data revealed a hyperactivation of the VS, but not the OFC, when anticipating both monetary reward and loss in the OCD compared to the TD group.
CONCLUSIONS
CONCLUSIONS
These findings suggest that aberrant neural reward and loss processing in OCD is associated with greater motivation to gain or maintain a reward but not with the actual receipt. The greater degree of reward 'wanting' may contribute to adolescents with OCD repeating certain actions more and more frequently, which then become habits (i.e., OCD symptomatology).
Identifiants
pubmed: 38745267
doi: 10.1186/s12888-024-05808-x
pii: 10.1186/s12888-024-05808-x
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
362Subventions
Organisme : Deutsche Forschungsgemeinschaft
ID : FOR 2698
Informations de copyright
© 2024. The Author(s).
Références
Starcevic V, et al. Functions of compulsions in obsessive-compulsive disorder. Aust N Z J Psychiatry. 2011;45(6):449–57. https://doi.org/10.3109/00048674.2011.567243 .
doi: 10.3109/00048674.2011.567243
pubmed: 21510720
Figee M, et al. Dysfunctional reward circuitry in obsessive-compulsive disorder. Biological Psychiatry. 2011;69(9):867–74. https://doi.org/10.1016/j.biopsych.2010.12.003 .
doi: 10.1016/j.biopsych.2010.12.003
pubmed: 21272861
Walitza S, Melfsen S, Jans T, Zellmann H, Wewetzer C, Warnke A. Obsessive-compulsive disorder in children and adolescents. Deutsches Aerzteblatt online. 2011. https://doi.org/10.3238/arztebl.2011.0173 .
doi: 10.3238/arztebl.2011.0173
Stewart SE, et al. Long-term outcome of pediatric obsessive-compulsive disorder: a meta-analysis and qualitative review of the literature. Acta Psychiatr Scand. 2004;110(1):4–13. https://doi.org/10.1111/j.1600-0447.2004.00302.x .
doi: 10.1111/j.1600-0447.2004.00302.x
pubmed: 15180774
L. B. Bragdon, G. K. Eng, N. Recchia, K. A. Collins, and E. R. Stern. Cognitive neuroscience of obsessive-compulsive disorder. psychiatric clinics of North America. 2022; S0193953X22000983. https://doi.org/10.1016/j.psc.2022.11.001 .
Ferreira GM, Yücel M, Dawson A, Lorenzetti V, Fontenelle LF. Investigating the role of anticipatory reward and habit strength in obsessive-compulsive disorder. CNS Spectr. 2017;22(3):295–304. https://doi.org/10.1017/S1092852916000535 .
doi: 10.1017/S1092852916000535
pubmed: 28065178
Gillan CM, et al. Functional neuroimaging of avoidance habits in obsessive-compulsive disorder. AJP. 2015;172(3):284–93. https://doi.org/10.1176/appi.ajp.2014.14040525 .
doi: 10.1176/appi.ajp.2014.14040525
Sip KE, Gonzalez R, Taylor SF, Stern ER. Increased loss aversion in unmedicated patients with obsessive-compulsive disorder. Front Psychiatry. 2018;8:309. https://doi.org/10.3389/fpsyt.2017.00309 .
doi: 10.3389/fpsyt.2017.00309
pubmed: 29379449
pmcid: 5775273
Alves-Pinto A, et al. Altered reward-related effective connectivity in obsessive-compulsive disorder: an fMRI study. JPN. 2019;44(6):395–406. https://doi.org/10.1503/jpn.180195 .
doi: 10.1503/jpn.180195
pubmed: 30964615
pmcid: 6821506
Choi J-S, et al. Altered brain activity during reward anticipation in pathological gambling and obsessive-compulsive disorder. PLoS ONE. 2012;7(9):e4593810. https://doi.org/10.1371/journal.pone.0045938 .
doi: 10.1371/journal.pone.0045938
Hauser TU, et al. Increased fronto-striatal reward prediction errors moderate decision making in obsessive–compulsive disorder. Psychol Med. 2017;47(07):1246–58. https://doi.org/10.1017/S0033291716003305 .
doi: 10.1017/S0033291716003305
pubmed: 28065182
Marsh R, et al. Reward-based spatial learning in unmedicated adults with obsessive-compulsive disorder. AJP. 2015;172(4):383–92. https://doi.org/10.1176/appi.ajp.2014.13121700 .
doi: 10.1176/appi.ajp.2014.13121700
Galván A. Adolescent brain development and contextual influences: a decade in review. J Res Adolesc. 2021;31(4):843–69. https://doi.org/10.1111/jora.12687 .
doi: 10.1111/jora.12687
pubmed: 34820955
Marzuki AA, Pereira de Souza AMFL, Sahakian BJ, Robbins TW. Are candidate neurocognitive endophenotypes of OCD present in paediatric patients? A systematic review. Neurosci Biobehav Rev. 2020;108:617–45. https://doi.org/10.1016/j.neubiorev.2019.12.010 .
doi: 10.1016/j.neubiorev.2019.12.010
pubmed: 31821834
Shephard E, et al. Toward a neurocircuit-based taxonomy to guide treatment of obsessive–compulsive disorder. Mol Psychiatry. 2021;26(9):4583–604. https://doi.org/10.1038/s41380-020-01007-8 .
doi: 10.1038/s41380-020-01007-8
pubmed: 33414496
pmcid: 8260628
Moreira PS, et al. The neural correlates of obsessive-compulsive disorder: a multimodal perspective. Transl Psychiatry. 2017;7(8):e1224–e1224. https://doi.org/10.1038/tp.2017.189 .
doi: 10.1038/tp.2017.189
pubmed: 28850108
pmcid: 5611752
Pauls DL, Abramovitch A, Rauch SL, Geller DA. Obsessive–compulsive disorder: an integrative genetic and neurobiological perspective. Nat Rev Neurosci. 2014;15(6):410–24. https://doi.org/10.1038/nrn3746 .
doi: 10.1038/nrn3746
pubmed: 24840803
Kaufmann C, et al. Medial prefrontal brain activation to anticipated reward and loss in obsessive–compulsive disorder. NeuroImage Clin. 2023;2:212–20. https://doi.org/10.1016/j.nicl.2013.01.005 .
doi: 10.1016/j.nicl.2013.01.005
Islam L, Franzini A, Messina G, Scarone S, Gambini O. Deep brain stimulation of the nucleus accumbens and bed nucleus of stria terminalis for obsessive-compulsive disorder: A Case Series. World Neurosurg. 2015;83(4):657–63. https://doi.org/10.1016/j.wneu.2014.12.024 .
Denys D, et al. Deep brain stimulation of the nucleus accumbens for treatment-refractory obsessive-compulsive disorder. Arch Gen Psychiatry. 2010;67(10):1061. https://doi.org/10.1001/archgenpsychiatry.2010.122 .
doi: 10.1001/archgenpsychiatry.2010.122
pubmed: 20921122
Knutson B, Westdorp A, Kaiser E, Hommer D. FMRI Visualization of brain activity during a monetary incentive delay task. NeuroImage. 2000;12(1):20–7. https://doi.org/10.1006/nimg.2000.0593 .
doi: 10.1006/nimg.2000.0593
pubmed: 10875899
Plichta MM, et al. Test–retest reliability of evoked BOLD signals from a cognitive–emotive fMRI test battery. NeuroImage. 2012;60(3):1746–58. https://doi.org/10.1016/j.neuroimage.2012.01.129 .
doi: 10.1016/j.neuroimage.2012.01.129
pubmed: 22330316
Lutz K, Widmer M. What can the monetary incentive delay task tell us about the neural processing of reward and punishment? Neurosci Neuroeconomics. 2014;16:33–45. https://doi.org/10.2147/NAN.S38864 .
doi: 10.2147/NAN.S38864
Taylor S. Early versus late onset obsessive-compulsive disorder: evidence for distinct subtypes. Clin Psychol Rev. 2011;31(7):1083–100. https://doi.org/10.1016/j.cpr.2011.06.007 .
doi: 10.1016/j.cpr.2011.06.007
pubmed: 21820387
Maia TV, Cooney RE, Peterson BS. The neural bases of obsessive-compulsive disorder in children and adults. Dev Psychopathol. 2008;20(4):1251–83. https://doi.org/10.1017/S0954579408000606 .
doi: 10.1017/S0954579408000606
pubmed: 18838041
pmcid: 3079445
Bretzke M, et al. Ventral striatal activation during reward anticipation of different reward probabilities in adolescents and adults. Front Hum Neurosci. 2021;15:649724. https://doi.org/10.3389/fnhum.2021.649724 .
doi: 10.3389/fnhum.2021.649724
pubmed: 33958995
pmcid: 8093817
Bretzke M, et al. Is loss avoidance differentially rewarding in adolescents versus adults? Differences in ventral striatum and anterior insula activation during the anticipation of potential monetary losses. Cogn Neurosci. 2023;14(1):36–49. https://doi.org/10.1080/17588928.2022.2038555 .
doi: 10.1080/17588928.2022.2038555
pubmed: 35188088
Sheehan DV, et al. Reliability and validity of the mini international neuropsychiatric interview for children and adolescents (MINI-KID). J Clin Psychiatry. 2010;71(03):313–26. https://doi.org/10.4088/JCP.09m05305whi .
doi: 10.4088/JCP.09m05305whi
pubmed: 20331933
Oldfield RC. The assessment and analysis of handedness: The Edinburgh inventory. Neuropsychologia. 1971;9(1):97–113. https://doi.org/10.1016/0028-3932(71)90067-4 .
doi: 10.1016/0028-3932(71)90067-4
pubmed: 5146491
World Health Organization. Multiaxial classification of child and adolescent psychiatric disorders: the ICD-10 classification of mental and behavioural disorders in children and adolescents. Cambridge; New York: Cambridge University Press; 2008.
Goodman WK, Price LH, Rasmussen SA, Riddle MA, Rapoport JL. Children’s Yale-Brown obsessive compulsive scale (CY-BOCS). New Haven, Connecticut: Clinical Neuroscience Unit. 1991;29:31–51.
H.-C. Steinhausen, “CY-BOCS. Beurteilungsskala für Zwangsstörungen bei Kindern. Autorisierte deutsche Bearbeitung der dritten Revision (1993; Goodman, W. K., Price, L. H., Rasmussen, S. A., Riddle, M. A. & Rapoport, J. L.).” 2007. Available: Verfügbar unter https://www.pukzh.ch/default/assets/File/15_3_CY-BOCS.pdf .
W. D. Oswald, Zahlen-Verbindungs-Test ZVT. 3., überarbeitete und neu normierte Auflage. Göttingen: Hogrefe., 2016.
Petersen AC, Crockett L, Richards M, Boxer A. A self-report measure of pubertal status: Reliability, validity, and initial norms. J Youth Adolesc. 1988;17(2):117–33. https://doi.org/10.1007/BF01537962 .
doi: 10.1007/BF01537962
pubmed: 24277579
Foa EB, et al. The obsessive-compulsive inventory: development and validation of a short version. Psychol Assess. 2002;14(4):485–96.
doi: 10.1037/1040-3590.14.4.485
pubmed: 12501574
Goletz H, Döpfner M. “ZWIK, Zwangsinventar für Kinder und Jugendliche”, in Klinisch-psychiatrische Ratingskalen für das Kindes- und Jugendalter. Göttingen: Hogrefe; 2011. pp. 489–93.
Bossert-Zaudig S, Niedermeier N. “Therapiebegleitende diagnostik und messinstrumente bei Zwangsstörungen”, in Die Zwangsstörung. Stuttgart: Schattauer; 2002.
Cohen J. Statistical power analysis for the behavioral sciences. New York, NY: Academic Press; 1988.
Wilke M, Holland SK, Altaye M, Gaser C. Template-O-Matic: A toolbox for creating customized pediatric templates. NeuroImage. 2008;41(3):903–13. https://doi.org/10.1016/j.neuroimage.2008.02.056 .
doi: 10.1016/j.neuroimage.2008.02.056
pubmed: 18424084
Oldham S, Murawski C, Fornito A, Youssef G, Yücel M, Lorenzetti V. The anticipation and outcome phases of reward and loss processing: A neuroimaging meta-analysis of the monetary incentive delay task. Human Brain Mapp. 2018;39(8):3398–418. https://doi.org/10.1002/hbm.24184 .
doi: 10.1002/hbm.24184
Gläscher J. Visualization of group inference data in functional neuroimaging. Neuroinform. 2009;7(1):73–82. https://doi.org/10.1007/s12021-008-9042-x .
doi: 10.1007/s12021-008-9042-x
Rolls ET, Huang C-C, Lin C-P, Feng J, Joliot M. Automated anatomical labelling atlas 3. NeuroImage. 2020;206:116189. https://doi.org/10.1016/j.neuroimage.2019.116189 .
doi: 10.1016/j.neuroimage.2019.116189
pubmed: 31521825
Maldjian JA, Laurienti PJ, Kraft RA, Burdette JH. An automated method for neuroanatomic and cytoarchitectonic atlas-based interrogation of fMRI data sets. NeuroImage. 2003;19(3):1233–9. https://doi.org/10.1016/S1053-8119(03)00169-1 .
doi: 10.1016/S1053-8119(03)00169-1
pubmed: 12880848
Maldjian JA, Laurienti PJ, Burdette JH. Precentral gyrus discrepancy in electronic versions of the Talairach atlas. NeuroImage. 2004;21(1):450–5. https://doi.org/10.1016/j.neuroimage.2003.09.032 .
doi: 10.1016/j.neuroimage.2003.09.032
pubmed: 14741682
JASP Team, “JASP (Version 0.17.1) [Windows].” 2023.
Moreira PS, et al. Altered response to risky decisions and reward in patients with obsessive–compulsive disorder. JPN. 2020;45(2):98–107. https://doi.org/10.1503/jpn.180226 .
doi: 10.1503/jpn.180226
pubmed: 31509362
van den Heuvel OA, et al. Brain circuitry of compulsivity. Eur Neuropsychopharmacol. 2016;26(5):810–27. https://doi.org/10.1016/j.euroneuro.2015.12.005 .
doi: 10.1016/j.euroneuro.2015.12.005
pubmed: 26711687
Cao Z, et al. Mapping adolescent reward anticipation, receipt, and prediction error during the monetary incentive delay task. Human Brain Mapp. 2019;40(1):262–83. https://doi.org/10.1002/hbm.24370 .
doi: 10.1002/hbm.24370
Dugré JR, Dumais A, Bitar N, Potvin S. Loss anticipation and outcome during the Monetary Incentive Delay Task : a neuroimaging systematic review and meta-analysis. PeerJ. 2018;6:e4749. https://doi.org/10.7717/peerj.4749 .
doi: 10.7717/peerj.4749
pubmed: 29761060
pmcid: 5949205
Jung WH, et al. Aberrant ventral striatal responses during incentive processing in unmedicated patients with obsessive-compulsive disorder: Aberrant neural incentive processes in OCD. Acta Psychiatrica Scandinavica. 2011;123(5):376–86. https://doi.org/10.1111/j.1600-0447.2010.01659.x .
doi: 10.1111/j.1600-0447.2010.01659.x
pubmed: 21175552
Ursu S, Carter CS. An initial investigation of the orbitofrontal cortex hyperactivity in obsessive-compulsive disorder: exaggerated representations of anticipated aversive events? Neuropsychologia. 2009;47(10):2145–8. https://doi.org/10.1016/j.neuropsychologia.2009.03.018 .
doi: 10.1016/j.neuropsychologia.2009.03.018
pubmed: 19467363
pmcid: 2688401
Galván A, et al. Earlier Development of the accumbens relative to orbitofrontal cortex might underlie risk-taking behavior in adolescents. J Neurosci. 2006;26(25):6885–92. https://doi.org/10.1523/JNEUROSCI.1062-06.2006 .
doi: 10.1523/JNEUROSCI.1062-06.2006
pubmed: 16793895
pmcid: 6673830
Bjork JM, Knutson B, Fong GW, Caggiano DM, Bennett SM, Hommer DW. Incentive-elicited brain activation in adolescents: similarities and differences from young adults. J Neurosci. 2004;24(8):1793–802. https://doi.org/10.1523/JNEUROSCI.4862-03.2004 .
doi: 10.1523/JNEUROSCI.4862-03.2004
pubmed: 14985419
pmcid: 6730402
Bjork JM, Smith AR, Chen G, Hommer DW. Adolescents, adults and rewards: comparing motivational neurocircuitry recruitment using fMRI. PLoS ONE. 2010;5(7):e11440. https://doi.org/10.1371/journal.pone.0011440 .
doi: 10.1371/journal.pone.0011440
pubmed: 20625430
pmcid: 2897849
Cho YT, et al. Nucleus accumbens, thalamus and insula connectivity during incentive anticipation in typical adults and adolescents. NeuroImage. 2013;66:508–21. https://doi.org/10.1016/j.neuroimage.2012.10.013 .
doi: 10.1016/j.neuroimage.2012.10.013
pubmed: 23069809
Knowlton BJ, Patterson TK. in Current Topics in Behavioral Neurosciences, vol. 37. In: Clark RE, Martin SJ, editors. Habit Formation and the Striatum. in Behavioral Neuroscience of Learning and Memory. Cham: Springer International Publishing; 2016. p. 275–95. https://doi.org/10.1007/7854_2016_451 .
doi: 10.1007/7854_2016_451
Gillan CM, et al. Enhanced avoidance habits in obsessive-compulsive disorder. Biol Psychiatry. 2014;75(8):631–8. https://doi.org/10.1016/j.biopsych.2013.02.002 .
doi: 10.1016/j.biopsych.2013.02.002
pubmed: 23510580
pmcid: 3988923
Stern ER, Taylor SF. Cognitive neuroscience of obsessive-compulsive disorder. Psychiatr Clin North Am. 2014;37(3):337–52. https://doi.org/10.1016/j.psc.2014.05.004 .
doi: 10.1016/j.psc.2014.05.004
pubmed: 25150566
Summerfeldt LJ, Kloosterman PH, Antony MM, Swinson RP. Examining an obsessive-compulsive core dimensions model: Structural validity of harm avoidance and incompleteness. J Obsessive Compuls Relat Disord. 2014;3(2):83–94. https://doi.org/10.1016/j.jocrd.2014.01.003 .
doi: 10.1016/j.jocrd.2014.01.003
Berridge KC, Robinson TE, Aldridge JW. Dissecting components of reward: ‘liking’, ‘wanting’, and learning. Curr Opin Pharmacol. 2009;9(1):65–73. https://doi.org/10.1016/j.coph.2008.12.014 .
doi: 10.1016/j.coph.2008.12.014
pubmed: 19162544
pmcid: 2756052
Robbins TW, Vaghi MM, Banca P. Obsessive-compulsive disorder: puzzles and prospects. Neuron. 2019;102(1):27–47. https://doi.org/10.1016/j.neuron.2019.01.046 .
doi: 10.1016/j.neuron.2019.01.046
pubmed: 30946823
Romer D, Reyna VF, Satterthwaite TD. Beyond stereotypes of adolescent risk taking: Placing the adolescent brain in developmental context. Dev Cogn Neurosci. 2017;27:19–34. https://doi.org/10.1016/j.dcn.2017.07.007 .
doi: 10.1016/j.dcn.2017.07.007
pubmed: 28777995
pmcid: 5626621
Casey BJ, Getz S, Galvan A. The adolescent brain. Dev Rev. 2008;28(1):62–77. https://doi.org/10.1016/j.dr.2007.08.003 .
doi: 10.1016/j.dr.2007.08.003
pubmed: 18688292
pmcid: 2500212
Ahmari SE, Rauch SL. The prefrontal cortex and OCD. Neuropsychopharmacology. 2022;47(1):211–24. https://doi.org/10.1038/s41386-021-01130-2 .
doi: 10.1038/s41386-021-01130-2
pubmed: 34400778
Abler B, Walter H, Erk S, Kammerer H, Spitzer M. Prediction error as a linear function of reward probability is coded in human nucleus accumbens. NeuroImage. 2006;31(2):790–5. https://doi.org/10.1016/j.neuroimage.2006.01.001 .
doi: 10.1016/j.neuroimage.2006.01.001
pubmed: 16487726
Plichta MM, Scheres A. Measuring the neural basis of reward anticipation and reward receipt in attention-deficit/hyperactivity disorder: the importance of task design. J Am Acad Child Adolesc Psychiatry. 2015;54(8):685–6. https://doi.org/10.1016/j.jaac.2015.05.012 .
doi: 10.1016/j.jaac.2015.05.012
pubmed: 26210338
Boehler CN, et al. Task-load-dependent activation of dopaminergic midbrain areas in the absence of reward. J Neurosci. 2011;31(13):4955–61. https://doi.org/10.1523/JNEUROSCI.4845-10.2011 .
doi: 10.1523/JNEUROSCI.4845-10.2011
pubmed: 21451034
pmcid: 6622993
Dobryakova E, Jessup RK, Tricomi E. Modulation of ventral striatal activity by cognitive effort. NeuroImage. 2017;147:330–8. https://doi.org/10.1016/j.neuroimage.2016.12.029 .
doi: 10.1016/j.neuroimage.2016.12.029
pubmed: 27989778
Plichta MM, Scheres A. Ventral–striatal responsiveness during reward anticipation in ADHD and its relation to trait impulsivity in the healthy population: A meta-analytic review of the fMRI literature. Neurosci Biobehav Rev. 2014;38:125–34. https://doi.org/10.1016/j.neubiorev.2013.07.012 .
doi: 10.1016/j.neubiorev.2013.07.012
pubmed: 23928090
Wilson R, et al. The neural substrate of reward anticipation in health: a meta-analysis of fMRI findings in the monetary incentive delay task. Neuropsychol Rev. 2018;28(4):496–506. https://doi.org/10.1007/s11065-018-9385-5 .
doi: 10.1007/s11065-018-9385-5
pubmed: 30255220
pmcid: 6327084
Richards JM, Plate RC, Ernst M. A systematic review of fMRI reward paradigms used in studies of adolescents vs. adults: the impact of task design and implications for understanding neurodevelopment. Neurosci Biobehav Rev. 2013;37(5):976–91. https://doi.org/10.1016/j.neubiorev.2013.03.004 .
doi: 10.1016/j.neubiorev.2013.03.004
pubmed: 23518270
Mathes BM, Morabito DM, Schmidt NB. Epidemiological and clinical gender differences in OCD. Curr Psychiatry Rep. 2019;21(5):36. https://doi.org/10.1007/s11920-019-1015-2 .
doi: 10.1007/s11920-019-1015-2
pubmed: 31016410
Miller GA, Chapman JP. Misunderstanding analysis of covariance. J Abnorm Psychol. 2001;110(1):40–8. https://doi.org/10.1037/0021-843X.110.1.40 .
doi: 10.1037/0021-843X.110.1.40
pubmed: 11261398