Hostname: page-component-586b7cd67f-dsjbd Total loading time: 0 Render date: 2024-11-25T19:34:39.570Z Has data issue: false hasContentIssue false

Stop Signal Reaction Time Deficits in a Lifetime Obsessive-Compulsive Disorder Sample

Published online by Cambridge University Press:  23 June 2016

Nicole C.R. McLaughlin*
Affiliation:
Butler Hospital, Providence, Rhode Island Alpert Medical School of Brown University, Providence, Rhode Island
Jason Kirschner
Affiliation:
University of Rochester School of Medicine and Dentistry, Rochester, New York
Hallee Foster
Affiliation:
Alpert Medical School of Brown University, Providence, Rhode Island
Chloe O’Connell
Affiliation:
Stanford University School of Medicine, Stanford, California
Steven A. Rasmussen
Affiliation:
Alpert Medical School of Brown University, Providence, Rhode Island
Benjamin D. Greenberg
Affiliation:
Butler Hospital, Providence, Rhode Island Alpert Medical School of Brown University, Providence, Rhode Island
*
Correspondence and reprint requests to: Nicole C. McLaughlin, Butler Hospital, 345 Blackstone Blvd., Providence, RI 02906. E-mail: [email protected]

Abstract

Objectives: Several studies have found impaired response inhibition, measured by a stop-signal task (SST), in individuals who are currently symptomatic for obsessive-compulsive disorder (OCD). The aim of this study was to assess stop-signal reaction time (SSRT) performance in individuals with a lifetime diagnosis of OCD, in comparison to a healthy control group. This is the first study that has examined OCD in participants along a continuum of OCD severity, including approximately half of whom had sub-syndromal symptoms at the time of assessment. Methods: OCD participants were recruited primarily from within the OCD clinic at a psychiatric hospital, as well as from the community. Healthy controls were recruited from the community. We used the stop signal task to examine the difference between 21 OCD participants (mean age, 42.95 years) and 40 healthy controls (mean age, 35.13 years). We also investigated the relationship between SST and measures of OCD, depression, and anxiety severity. Results: OCD participants were significantly slower than healthy controls with regard to mean SSRT. Contrary to our prediction, there was no correlation between SSRT and current levels of OCD, anxiety, and depression severity. Conclusions: Results support prior studies showing impaired response inhibition in OCD, and extend the findings to a sample of patients with lifetime OCD who were not all currently above threshold for diagnosis. These findings indicate that response inhibition deficits may be a biomarker of OCD, regardless of current severity levels. (JINS, 2016, 22, 785–789)

Type
Brief Communication
Copyright
Copyright © The International Neuropsychological Society 2016 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Aron, A.R., Fletcher, P.C., Bullmore, E.T., Sahakian, B.J., & Robbins, T.W. (2003). Stop-signal inhibition disrupted by damage to right inferior frontal gyrus in humans. [Research Support, Non-U.S. Gov’t]. Nature Neuroscience, 6(2), 115116. doi:10.1038/nn1003 CrossRefGoogle ScholarPubMed
Bari, A., Eagle, D.M., Mar, A.C., Robinson, E.S., & Robbins, T.W. (2009). Dissociable effects of noradrenaline, dopamine, and serotonin uptake blockade on stop task performance in rats. [Research Support, Non-U.S. Gov’t]. Psychopharmacology (Berlin), 205(2), 273283. doi:10.1007/s00213-009-1537-0 Google Scholar
Bari, A., & Robbins, T.W. (2013). Inhibition and impulsivity: Behavioral and neural basis of response control. [Research Support, Non-U.S. Gov’t Review]. Progress in Neurobiology, 108, 4479. doi:10.1016/j.pneurobio.2013.06.005 Google Scholar
Benito, K.G., Conelea, C., Garcia, A.M., & Freeman, J.B. (2012). CBT specific process in exposure-based treatments: Initial examination in a pediatric OCD sample. Journal of Obsessive Compulsive and Related Disorders, 1(2), 7784. doi:10.1016/j.jocrd.2012.01.001 Google Scholar
Blom, R.M., Samuels, J.F., Grados, M.A., Chen, Y., Bienvenu, O.J., Riddle, M.A., & Nestadt, G. (2011). Cognitive functioning in compulsive hoarding. Journal of Anxiety Disorders, 25(8), 11391144. doi:10.1016/j.janxdis.2011.08.005 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. doi:10.1016/j.psychres.2012.06.010 Google Scholar
Chamberlain, S.R., Blackwell, A.D., Fineberg, N.A., Robbins, T.W., & Sahakian, B.J. (2005). The neuropsychology of obsessive compulsive disorder: The importance of failures in cognitive and behavioural inhibition as candidate endophenotypic markers. [Research Support, Non-U.S. Gov’t Review]. Neuroscience and Biobehavioral Review, 29(3), 399419. doi:10.1016/j.neubiorev.2004.11.006 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. American Journal of Psychiatry, 164(2), 335338.Google Scholar
Chamberlain, S.R., Muller, U., Blackwell, A.D., Clark, L., Robbins, T.W., & Sahakian, B.J. (2006). Neurochemical modulation of response inhibition and probabilistic learning in humans. [Controlled Clinical Trial Research Support, Non-U.S. Gov’t]. Science, 311(5762), 861863. doi:10.1126/science.1121218 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. [Research Support, Non-U.S. Gov’t]. American Journal of Psychiatry, 169(10), 11001108. doi:10.1176/appi.ajp.2012.12010073 Google Scholar
Drueke, B., Boecker, M., Schlaegel, S., Moeller, O., Hiemke, C., Grunder, G., & Gauggel, S. (2010). Serotonergic modulation of response inhibition and re-engagement? Results of a study in healthy human volunteers. [Randomized Controlled Trial Research Support, Non-U.S. Gov’t]. Human Psychopharmacology, 25(6), 472480. doi:10.1002/hup.1141 Google Scholar
First, M.B., Spitzer, R.L., Gibbon, M., & Williams, J.B.W. (2002). Structured clinical interview for DSM-IV-TR Axis I disorders, research version. New York: Biometrics Research, New York State Psychiatric Institute.Google Scholar
Goodman, W.K., Price, L.H., Rasmussen, S.A., Mazure, C., Delgado, P., Heninger, G.R., & Charney, D.S. (1989). The Yale-Brown Obsessive Compulsive Scale. II. Validity. Archives of General Psychiatry, 46(11), 10121016.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.CrossRefGoogle ScholarPubMed
Hamilton, M. (1959). A rating scale for anxiety. British Journal of Medical Psychology, 32, 5055.Google Scholar
Hamilton, M. (1960). A rating scale for depression. Journal of Neurology, Neurosurgery, and Psychiatry, 23, 5662.Google Scholar
Kessler, R.C., Chiu, W.T., Demler, O., Merikangas, K.R., & Walters, E.E. (2005). Prevalence, severity, and comorbidity of 12-month DSM-IV disorders in the National Comorbidity Survey Replication. [Comparative Study Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov’t Research Support, U.S. Gov’t, P.H.S.]. Archives of General Psychiatry, 62(6), 617627. doi:10.1001/archpsyc.62.6.617 Google Scholar
Lipszyc, J., & Schachar, R. (2010). Inhibitory control and psychopathology: A meta-analysis of studies using the stop signal task. [Meta-Analysis Research Support, Non-U.S. Gov’t]. Journal of the International Neuropsychological Society, 16(6), 10641076. doi:10.1017/S1355617710000895 Google Scholar
Logan, G.D., Cowan, W.B., & Davis, K.A. (1984). On the ability to inhibit simple and choice reaction time responses: A model and a method. [Research Support, Non-U.S. Gov’t]. Journal of Experimental Psychology: Human Perception and Performance, 10(2), 276291.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.Google Scholar
Penades, R., Catalan, R., Andres, S., Salamero, M., & Gasto, C. (2005). Executive function and nonverbal memory in obsessive-compulsive disorder. Psychiatry Research, 133(1), 8190.CrossRefGoogle ScholarPubMed
Rao, N.P., Reddy, Y.C., Kumar, K.J., Kandavel, T., & Chandrashekar, C.R. (2008). Are neuropsychological deficits trait markers in OCD? Progress in Neuropsychopharmacology and Biological Psychiatry, 32(6), 15741579.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. [Research Support, Non-U.S. Gov’t]. Journal of Abnormal Child Psychology, 35(2), 229238. doi:10.1007/s10802-006-9075-2 Google Scholar
van Velzen, L.S., Vriend, C., de Wit, S.J., & van den Heuvel, O.A. (2014). Response inhibition and interference control in obsessive-compulsive spectrum disorders. [Review]. Frontiers in Human Neuroscience, 8, 419. doi:10.3389/fnhum.2014.00419 Google Scholar