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Evaluating Proactive Strategy in Patients With OCD During Stop Signal Task

Published online by Cambridge University Press:  07 June 2018

Riccardo M. Martoni*
Affiliation:
I.R.C.C.S. San Raffaele-Turro, Milan, Italy
Gaia Risso
Affiliation:
I.R.C.C.S. San Raffaele-Turro, Milan, Italy
Mattia Giuliani
Affiliation:
I.R.C.C.S. San Raffaele-Turro, Milan, Italy
Roberta de Filippis
Affiliation:
I.R.C.C.S. San Raffaele-Turro, Milan, Italy
Stefania Cammino
Affiliation:
I.R.C.C.S. San Raffaele-Turro, Milan, Italy
Cristina Cavallini
Affiliation:
I.R.C.C.S. San Raffaele-Turro, Milan, Italy
Laura Bellodi
Affiliation:
I.R.C.C.S. San Raffaele-Turro, Milan, Italy University Vita-Salute San Raffaele, Faculty of Psychology, Milan, Italy
*
Correspondence and reprint requests to: Riccardo M. Martoni, Department of Clinical Neurosciences, I.R.C.C.S. San Raffaele-Turro, Via Stamira D’Ancona, 20, 20127, Milano, Italy. E-mail: [email protected]

Abstract

Objectives: The aim of the present study was to investigate “Proactive-Adjustment hypothesis” (PA) during the Stop Signal Task (SST). The PA is implied in the highly inconsistent literature, and it deals with the role of response inhibition (RI) in obsessive-compulsive disorder (OCD). This hypothesis assumed that participants would balance stopping and going by adjusting the response threshold (RT) in the go task. We verified whether the PA strategy was also implemented in our clinical group. Methods: To reach this goal, we analyzed SST performances in a group of 36 patients with OCD and 36 healthy controls (HCs). To identify different participants’ behaviors during the task, without preconceived notions regarding the diagnosis, we performed a cluster analysis. Furthermore, we analyzed the influence of drug therapy and we investigated whether the rule and reversal acquisition investigated with the Intra-Extra Dimensional Set Shift, differed in the two clusters. Results: We did not find any difference relative to the number of patients with OCD and HCs included in the two clusters. Furthermore, we found that only Not Proactive participants performed the task as fast as possible, while Proactive participants consistently slowed down their RTs and showed a lower number of Direction Errors, higher Stop Signal Delay, and worse cognitive flexibility. Conclusions: Our results show that among patients with OCD the use of PA is changeable and does not differ from HCs. This finding supports the idea that the RI heterogeneity concerning patients with OCD could be related to PA. (JINS, 2018, 24, 1–12)

Type
Research Articles
Copyright
Copyright © The International Neuropsychological Society 2018 

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References

REFERENCES

Abramovitch, A., Abramowitz, J.S., & Mittelman, A. (2013). The neuropsychology of adult obsessive-compulsive disorder: A meta-analysis. Clinical Psychology Review, 33(8), 11631171. https://doi.org/10.1016/j.cpr.2013.09.004.Google Scholar
American Psychiatric Association. (2014). DSM-5: Manuale diagnostico e statistico dei disturbi mentali. Milano: R. Cortina.Google Scholar
Bari, A., & Robbins, T.W. (2013). Inhibition and impulsivity: Behavioral and neural basis of response control. Progress in Neurobiology, 108, 4479. https://doi.org/10.1016/j.pneurobio.2013.06.005.Google Scholar
Benis, D., David, O., Lachaux, J.-P., Seigneuret, E., Krack, P., Fraix, V., & Bastin, J. (2014). Subthalamic nucleus activity dissociates proactive and reactive inhibition in patients with Parkinson’s disease. NeuroImage, 91, 273281. https://doi.org/10.1016/j.neuroimage.2013.10.070.Google Scholar
Bissett, P.G., & Logan, G.D. (2011). Balancing cognitive demands: Control adjustments in the stop-signal paradigm. Journal of Experimental Psychology. Learning, Memory, and Cognition, 37(2), 392404. doi: 10.1037/a0021800 Google Scholar
Bissett, P.G., & Logan, G.D. (2012). Post-stop-signal adjustments: Inhibition improves subsequent inhibition. Journal of Experimental Psychology. Learning, Memory, and Cognition, 38(4), 955966. doi: 10.1037/a0026778 Google Scholar
Boedhoe, P.S.W., Schmaal, L., Mataix-Cols, D., & Jahanshad, N., ENIGMA OCD Working Group, Thompson, P.M., … van den Heuvel, O.A. (2017). Association and causation in brain imaging in the case of OCD: Response to McKay et al. The American Journal of Psychiatry, 174(6), 597599. https://doi.org/10.1176/appi.ajp.2017.17010019r.Google Scholar
Boisseau, C.L., Thompson-Brenner, H., Caldwell-Harris, C., Pratt, E., Farchione, T., & Barlow, D.H. (2012). Behavioral and cognitive impulsivity in obsessive-compulsive disorder and eating disorders. Psychiatry Research, 200(2–3), 10621066. https://doi.org/10.1016/j.psychres.2012.06.010.Google Scholar
Cha, K.R., Koo, M.-S., Kim, C.-H., Kim, J.W., Oh, W.-J., Suh, H.S., & Lee, H.S. (2008). Nonverbal memory dysfunction in obsessive-compulsive disorder patients with checking compulsions. Depression and Anxiety, 25(11), E115E120. https://doi.org/10.1002/da.20377.Google Scholar
Chamberlain, S.R., Fineberg, N.A., Menzies, L.A., Blackwell, A.D., Bullmore, E.T., Robbins, T.W., & Sahakian, B.J. (2007). Impaired cognitive flexibility and motor inhibition in unaffected first-degree relatives of patients with obsessive-compulsive disorder. The American Journal of Psychiatry, 164(2), 335358.Google Scholar
Chamberlain, S.R., Fineberg, N.A., Blackwell, A.D., Clark, L., Robbins, T.W., & Sahakian, B.J. (2007). A neuropsychological comparison of obsessive-compulsive disorder and trichotillomania. Neuropsychologia, 45(4), 654662. https://doi.org/10.1016/j.neuropsychologia.2006.07.016.Google Scholar
Criaud, M., Wardak, C., Ben Hamed, S., Ballanger, B., & Boulinguez, P. (2012). Proactive inhibitory control of response as the default state of executive control. Frontiers in Psychology, 3, 59. https://doi.org/10.3389/fpsyg.2012.00059.Google Scholar
de Wit, S.J., de Vries, F.E., van der Werf, Y.D., Cath, D.C., Heslenfeld, D.J., Veltman, E.M., & van den Heuvel, O.A. (2012). Presupplementary motor area hyperactivity during response inhibition: A candidate endophenotype of obsessive-compulsive disorder. The American Journal of Psychiatry, 169(10), 11001108. https://doi.org/10.1176/appi.ajp.2012.12010073.Google Scholar
Duann, J.-R., Ide, J.S., Luo, X., & Li, C.R. (2009). Functional connectivity delineates distinct roles of the inferior frontal cortex and presupplementary motor area in stop signal inhibition. The Journal of Neuroscience, 29(32), 1017110179. https://doi.org/10.1523/JNEUROSCI.1300-09.2009.Google Scholar
Eagle, D.M., Bari, A., & Robbins, T.W. (2008). The neuropsychopharmacology of action inhibition: Cross-species translation of the stop-signal and go/no-go tasks. Psychopharmacology, 199(3), 439456.Google Scholar
Elchlepp, H., Lavric, A., Chambers, C.D., & Verbruggen, F. (2016). Proactive inhibitory control: A general biasing account. Cognitive Psychology, 86, 2761. https://doi.org/10.1016/j.cogpsych.2016.01.004.Google Scholar
Goodman, W.K., Price, L.H., Rasmussen, S.A., Mazure, C., Fleischmann, R.L., Hill, C.L., & Charney, D.S. (1989). The Yale-Brown Obsessive Compulsive Scale. I. Development, use, and reliability. Archives of General Psychiatry, 46(11), 10061011.Google Scholar
Hair, J.F. Jr, Black, W.C., Babin, B.J., & Anderson, R.E. (2009). Multivariate data analysis (7th ed.), Upper Saddle River, NJ: Prentice Hall College.Google Scholar
Hermans, L., Beeckmans, K., Michiels, K., Lafosse, C., Sunaert, S., Coxon, J.P., & Leunissen, I. (2017). Proactive response inhibition and subcortical gray matter integrity in traumatic brain injury. Neurorehabilitation and Neural Repair, 31(3), 228239. https://doi.org/10.1177/1545968316675429.Google Scholar
Insel, T., Cuthbert, B., Garvey, M., Heinssen, R., Pine, D.S., Quinn, K., & Wang, P. (2010). Research domain criteria (RDoC): Toward a new classification framework for research on mental disorders. The American Journal of Psychiatry, 167(7), 748751. https://doi.org/10.1176/appi.ajp.2010.09091379.Google Scholar
Jahfari, S., Verbruggen, F., Frank, M.J., Waldorp, L.J., Colzato, L., Ridderinkhof, K.R., & Forstmann, B.U. (2012). How preparation changes the need for top-down control of the basal ganglia when inhibiting premature actions. The Journal of Neuroscience, 32(32), 1087010878. https://doi.org/10.1523/JNEUROSCI.0902-12.2012.Google Scholar
Jahfari, S., Waldorp, L., van den Wildenberg, W.P.M., Scholte, H.S., Ridderinkhof, K.R., & Forstmann, B.U. (2011). Effective connectivity reveals important roles for both the hyperdirect (fronto-subthalamic) and the indirect (fronto-striatal-pallidal) fronto-basal ganglia pathways during response inhibition. The Journal of Neuroscience, 31(18), 68916899. https://doi.org/10.1523/JNEUROSCI.5253-10.2011.Google Scholar
Kalanthroff, E., Henik, A., Derakshan, N., & Usher, M. (2016). Anxiety, emotional distraction, and attentional control in the Stroop task. Emotion, 16(3), 293300. https://doi.org/10.1037/emo0000129.Google Scholar
Lawrence, A.D., Sahakian, B.J., & Robbins, T.W. (1998). Cognitive functions and corticostriatal circuits: Insights from Huntington’s disease. Trends in Cognitive Sciences, 2(10), 379388.Google Scholar
Lei, H., Zhu, X., Fan, J., Dong, J., Zhou, C., Zhang, X., & Zhong, M. (2015). Is impaired response inhibition independent of symptom dimensions in obsessive-compulsive disorder? Evidence from ERPs. Scientific Reports, 5, 10413. https://doi.org/10.1038/srep10413.Google Scholar
Leunissen, I., Coxon, J.P., & Swinnen, S.P. (2016). A proactive task set influences how response inhibition is implemented in the basal ganglia. Human Brain Mapping, 37(12), 47064717. https://doi.org/10.1002/hbm.23338.Google Scholar
Lilienfeld, S.O. (2014). The Research Domain Criteria (RDoC): An analysis of methodological and conceptual challenges. Behaviour Research and Therapy, 62, 129139. https://doi.org/10.1016/j.brat.2014.07.019.Google Scholar
Lipszyc, J., & Schachar, R. (2010). Inhibitory control and psychopathology: A meta-analysis of studies using the stop signal task. Journal of the International Neuropsychological Society, 16(6), 10641076. https://doi.org/10.1017/S1355617710000895.Google Scholar
Logan, G.D., & Cowan, W.B. (1984). On the ability to inhibit thought and action: A theory of an act of control. Psychological Review, 91(3), 295327. https://doi.org/10.1037/0033-295X.91.3.295.Google Scholar
Logan, G.D., Van Zandt, T., Verbruggen, F., & Wagenmakers, E.J. (2014). On the ability to inhibit thought and action: General and special theories of an act of control. Psychology Review, 121(1), 6695. doi: 10.1037/a0035230 Google Scholar
McLaughlin, N.C.R., Kirschner, J., Foster, H., O’Connell, C., Rasmussen, S.A., & Greenberg, B.D. (2016). Stop signal reaction time deficits in a lifetime obsessive-compulsive disorder sample. Journal of the International Neuropsychological Society, 22(7), 785789. https://doi.org/10.1017/S1355617716000540.Google Scholar
Menzies, L., Achard, S., Chamberlain, S.R., Fineberg, N., Chen, C.-H., del Campo, N., & Bullmore, E. (2007). Neurocognitive endophenotypes of obsessive-compulsive disorder. Brain, 130(Pt 12), 32233236. https://doi.org/10.1093/brain/awm205.Google Scholar
Penadés, R., Catalán, R., Rubia, K., Andrés, S., Salamero, M., & Gastó, C. (2007). Impaired response inhibition in obsessive compulsive disorder. European Psychiatry, 22(6), 404410. https://doi.org/10.1016/j.eurpsy.2006.05.001.Google Scholar
Robbins, T.W., James, M., Owen, A.M., Sahakian, B.J., Lawrence, A.D., McInnes, L., & Rabbitt, P.M. (1998). A study of performance on tests from the CANTAB battery sensitive to frontal lobe dysfunction in a large sample of normal volunteers: Implications for theories of executive functioning and cognitive aging. Cambridge Neuropsychological Test Automated Battery. Journal of the International Neuropsychological Society, 4(5), 474490.Google Scholar
Schachar, R., Logan, G.D., Robaey, P., Chen, S., Ickowicz, A., & Barr, C. (2007). Restraint and cancellation: Multiple inhibition deficits in attention deficit hyperactivity disorder. Journal of Abnormal Child Psychology, 35(2), 229238. https://doi.org/10.1007/s10802-006-9075-2.Google Scholar
Snyder, H.R., Miyake, A., & Hankin, B.L. (2015). Advancing understanding of executive function impairments and psychopathology: Bridging the gap between clinical and cognitive approaches. Frontiers in Psychology, 6, 328. https://doi.org/10.3389/fpsyg.2015.00328.Google Scholar
Sohn, S.Y., Kang, J.I., Namkoong, K., & Kim, S.J. (2014). Multidimensional measures of impulsivity in obsessive-compulsive disorder: Cannot wait and stop. PLoS One, 9(11). https://doi.org/10.1371/journal.pone.0111739.Google Scholar
Spielberger, G.O. (1970). The State-Trait Anxiety Inventory. Palo Alto, CA: Consulting Psychologists Press.Google Scholar
Swann, N., Poizner, H., Houser, M., Gould, S., Greenhouse, I., Cai, W., & Aron, A.R. (2011). Deep brain stimulation of the subthalamic nucleus alters the cortical profile of response inhibition in the beta frequency band: A scalp EEG study in Parkinson’s disease. The Journal of Neuroscience, 31(15), 57215729. https://doi.org/10.1523/JNEUROSCI.6135-10.2011.Google Scholar
Verbruggen, F., & Logan, G.D. (2009). Models of response inhibition in the stop-signal and stop-change paradigms. Neuroscience and Biobehavioral Reviews, 33(5), 647661. https://doi.org/10.1016/j.neubiorev.2008.08.014.Google Scholar
Ward, J.H. Jr. (1963). Hierarchical grouping to optimize an objective function. Journal of the American Statistical Association, 58(301), 236244. https://doi.org/10.1080/01621459.1963.10500845.Google Scholar