Skip to main content

Advertisement

Log in

Impaired working memory performance in opioid-dependent patients is related to reduced insula gray matter volume: a voxel-based morphometric study

  • Original Paper
  • Published:
European Archives of Psychiatry and Clinical Neuroscience Aims and scope Submit manuscript

Abstract

Opioid-dependent patients frequently show deficits in multiple cognitive domains that might impact on their everyday life performance and interfere with therapeutic efforts. To date, the neurobiological underpinnings of those deficits remain to be determined. We investigated working memory performance and gray matter volume (GMV) differences in 17 patients on opioid maintenance treatment (OMT) and 17 healthy individuals using magnetic resonance imaging and voxel-based morphometry. In addition, we explored associations between substance intake, gray matter volume, and working memory task performance. Patients on OMT committed more errors during the working memory task than healthy individuals and showed smaller insula and putamen GMV. The duration of heroin use prior to OMT was associated with working memory performance and insula GMV in patients. Neither the substitution agent (methadone and buprenorphine) nor concurrent abuse of illegal substances during the 3 months prior to the experiment was significantly associated with GMV. Results indicate that impaired working memory performance and structural deficits in the insula of opioid-dependent patients are related to the duration of heroin use. This suggests that early inclusion into OMT or abstinence-oriented therapies that shorten the period of heroin abuse may limit the impairments to GMV and cognitive performance of opioid-dependent individuals.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3

Similar content being viewed by others

References

  1. Andersson U (2010) The contribution of working memory capacity to foreign language comprehension in children. Memory 18:458–472

    PubMed  Google Scholar 

  2. Ashburner J, Friston KJ (2005) Unified segmentation. NeuroImage 26:839–851

    PubMed  Google Scholar 

  3. Bach P, Vollstadt-Klein S, Frischknecht U, Hoerst M, Kiefer F, Mann K, Ende G, Hermann D (2012) Diminished brain functional magnetic resonance imaging activation in patients on opiate maintenance despite normal spatial working memory task performance. Clin Neuropharmacol 35:153–160

    CAS  PubMed  Google Scholar 

  4. Beck AT, Ward CH, Mendelson M, Mock J, Erbaugh J (1961) An inventory for measuring depression. Arch Gen Psychiatry 4:561–571

    CAS  PubMed  Google Scholar 

  5. Cabeza R, Nyberg L (2000) Imaging cognition ii: an empirical review of 275 pet and fmri studies. J Cogn Neurosci 12:1–47

    CAS  PubMed  Google Scholar 

  6. Cauda F, D’Agata F, Sacco K, Duca S, Geminiani G, Vercelli A (2011) Functional connectivity of the insula in the resting brain. NeuroImage 55:8–23

    PubMed  Google Scholar 

  7. Craig AD (2009) How do you feel—now? The anterior insula and human awareness. Nat Rev Neurosci 10:59–70

    CAS  PubMed  Google Scholar 

  8. Curran HV, Kleckham J, Bearn J, Strang J, Wanigaratne S (2001) Effects of methadone on cognition, mood and craving in detoxifying opiate addicts: a dose–response study. Psychopharmacology 154:153–160

    CAS  PubMed  Google Scholar 

  9. D’Esposito M, Postle BR, Rypma B (2000) Prefrontal cortical contributions to working memory: evidence from event-related FMRI studies. Executive control and the frontal lobe: current issues. Springer, Berlin, pp 3–11

    Google Scholar 

  10. Danos P, Kasper S, Grunwald F, Klemm E, Krappel C, Broich K, Hoflich G, Overbeck B, Biersack HJ, Moller HJ (1998) Pathological regional cerebral blood flow in opiate-dependent patients during withdrawal: a HMPAO-SPECT study. Neuropsychobiology 37:194–199

    CAS  PubMed  Google Scholar 

  11. Davis PE, Liddiard H, McMillan TM (2002) Neuropsychological deficits and opiate abuse. Drug Alcohol Depend 67:105–108

    CAS  PubMed  Google Scholar 

  12. Denier N, Gerber H, Vogel M, Klarhofer M, Riecher-Rossler A, Wiesbeck GA, Lang UE, Borgwardt S, Walter M (2013) Reduction in cerebral perfusion after heroin administration: a resting state arterial spin labeling study. PLoS One 8:e71461

    CAS  PubMed  PubMed Central  Google Scholar 

  13. Denier N, Schmidt A, Gerber H, Schmid O, Riecher-Rossler A, Wiesbeck GA, Huber CG, Lang UE, Radue EW, Walter M, Borgwardt S (2013) Association of frontal gray matter volume and cerebral perfusion in heroin addiction: a multimodal neuroimaging study. Front Psychiatry 4:135

    PubMed  PubMed Central  Google Scholar 

  14. Dosenbach NU, Fair DA, Miezin FM, Cohen AL, Wenger KK, Dosenbach RA, Fox MD, Snyder AZ, Vincent JL, Raichle ME, Schlaggar BL, Petersen SE (2007) Distinct brain networks for adaptive and stable task control in humans. Proc Natl Acad Sci USA 104:11073–11078

    CAS  PubMed  PubMed Central  Google Scholar 

  15. Farokhian F, Beheshti I, Sone D, Matsuda H (2017) Comparing cat12 and vbm8 for detecting brain morphological abnormalities in temporal lobe epilepsy. Front Neurol 8:428

    PubMed  PubMed Central  Google Scholar 

  16. Gaser C, Dahnke R (2016) Cat-a computational anatomy toolbox for the analysis of structural MRI data. HBM 2016:336–348

    Google Scholar 

  17. Hammers A, Allom R, Koepp MJ, Free SL, Myers R, Lemieux L, Mitchell TN, Brooks DJ, Duncan JS (2003) Three-dimensional maximum probability atlas of the human brain, with particular reference to the temporal lobe. Hum Brain Mapp 19:224–247

    PubMed  PubMed Central  Google Scholar 

  18. Hepner IJ, Homewood J, Taylor AJ (2002) Methadone disrupts performance on the working memory version of the morris water task. Physiol Behav 76:41–49

    CAS  PubMed  Google Scholar 

  19. Herning RI, Better WE, Tate K, Umbricht A, Preston KL, Cadet JL (2003) Methadone treatment induces attenuation of cerebrovascular deficits associated with the prolonged abuse of cocaine and heroin. Neuropsychopharmacology 28:562–568

    CAS  PubMed  Google Scholar 

  20. Hill D, Garner D, Baldacchino A (2018) Comparing neurocognitive function in individuals receiving chronic methadone or buprenorphine for the treatment of opioid dependence: a systematic review. Heroin Addict Rel Cl 20:35–49

    Google Scholar 

  21. Jonides J, Smith EE, Koeppe RA, Awh E, Minoshima S, Mintun MA (1993) Spatial working memory in humans as revealed by pet. Nature 363:623

    CAS  PubMed  Google Scholar 

  22. Lin WC, Chou KH, Chen HL, Huang CC, Lu CH, Li SH, Wang YL, Cheng YF, Lin CP, Chen CC (2012) Structural deficits in the emotion circuit and cerebellum are associated with depression, anxiety and cognitive dysfunction in methadone maintenance patients: a voxel-based morphometric study. Psychiatry Res 201:89–97

    PubMed  Google Scholar 

  23. Liu H, Hao Y, Kaneko Y, Ouyang X, Zhang Y, Xu L, Xue Z, Liu Z (2009) Frontal and cingulate gray matter volume reduction in heroin dependence: optimized voxel-based morphometry. Psychiatry Clin Neurosci 63:563–568

    PubMed  Google Scholar 

  24. Lyoo IK, Pollack MH, Silveri MM, Ahn KH, Diaz CI, Hwang J, Kim SJ, Yurgelun-Todd DA, Kaufman MJ, Renshaw PF (2006) Prefrontal and temporal gray matter density decreases in opiate dependence. Psychopharmacology 184:139–144

    CAS  PubMed  Google Scholar 

  25. Mackey S, Allgaier N, Chaarani B, Spechler P, Orr C, Bunn J, Allen NB, Alia-Klein N, Batalla A, Blaine S, Brooks S, Caparelli E, Chye YY, Cousijn J, Dagher A, Desrivieres S, Feldstein-Ewing S, Foxe JJ, Goldstein RZ, Goudriaan AE, Heitzeg MM, Hester R, Hutchison K, Korucuoglu O, Li CR, London E, Lorenzetti V, Luijten M, Martin-Santos R, May A, Momenan R, Morales A, Paulus MP, Pearlson G, Rousseau ME, Salmeron BJ, Schluter R, Schmaal L, Schumann G, Sjoerds Z, Stein DJ, Stein EA, Sinha R, Solowij N, Tapert S, Uhlmann A, Veltman D, van Holst R, Whittle S, Wright MJ, Yucel M, Zhang S, Yurgelun-Todd D, Hibar DP, Jahanshad N, Evans A, Thompson PM, Glahn DC, Conrod P, Garavan H (2018) Mega-analysis of gray matter volume in substance dependence: general and substance-specific regional effects. Am J Psychiatry 1:4

    Google Scholar 

  26. Mayer JS, Bittner RA, Nikolic D, Bledowski C, Goebel R, Linden DE (2007) Common neural substrates for visual working memory and attention. NeuroImage 36:441–453

    PubMed  Google Scholar 

  27. Mintzer MZ, Copersino ML, Stitzer ML (2005) Opioid abuse and cognitive performance. Drug Alcohol Depend 78:225–230

    CAS  PubMed  Google Scholar 

  28. Mintzer MZ, Stitzer ML (2002) Cognitive impairment in methadone maintenance patients. Drug Alcohol Depend 67:41–51

    PubMed  Google Scholar 

  29. Müller UJ, Schiltz K, Mawrin C, Dobrowolny H, Frodl T, Bernstein H-G, Bogerts B, Truebner K, Steiner J (2018) Total hypothalamic volume is reduced in postmortem brains of male heroin addicts. Eur Arch Psychiatry Clin Neurosci 268:243–248

    PubMed  Google Scholar 

  30. Pilli VK, Jeong J-W, Konka P, Kumar A, Chugani HT, Juhász C (2019) Objective pet study of glucose metabolism asymmetries in children with epilepsy: implications for normal brain development. Hum Brain Mapp 40:53–64

    PubMed  Google Scholar 

  31. Prosser J, Cohen LJ, Steinfeld M, Eisenberg D, London ED, Galynker II (2006) Neuropsychological functioning in opiate-dependent subjects receiving and following methadone maintenance treatment. Drug Alcohol Depend 84:240–247

    PubMed  PubMed Central  Google Scholar 

  32. Rottschy C, Langner R, Dogan I, Reetz K, Laird AR, Schulz JB, Fox PT, Eickhoff SB (2012) Modelling neural correlates of working memory: a coordinate-based meta-analysis. NeuroImage 60:830–846

    CAS  PubMed  Google Scholar 

  33. Schmidt P, Haberthur A, Soyka M (2017) Cognitive functioning in formerly opioid-dependent adults after at least 1 year of abstinence: a naturalistic study. Eur Addict Res 23:269–275

    PubMed  Google Scholar 

  34. Seifert CL, Magon S, Sprenger T, Lang UE, Huber CG, Denier N, Vogel M, Schmidt A, Radue E-W, Borgwardt S, Walter M (2015) Reduced volume of the nucleus accumbens in heroin addiction. Eur Arch Psychiatry Clin Neurosci 265:637–645

    PubMed  Google Scholar 

  35. Skinner HA, Sheu WJ (1982) Reliability of alcohol use indices. The lifetime drinking history and the mast. J Stud Alcohol 43:1157–1170

    CAS  PubMed  Google Scholar 

  36. Solis E Jr, Cameron-Burr KT, Shaham Y, Kiyatkin EA (2017) Intravenous heroin induces rapid brain hypoxia and hyperglycemia that precede brain metabolic response. eNeuro 2017:4

    Google Scholar 

  37. Soyka M, Strehle J, Rehm J, Buhringer G, Wittchen HU (2017) Six-year outcome of opioid maintenance treatment in heroin-dependent patients: results from a naturalistic study in a nationally representative sample. Eur Addict Res 23:97–105

    PubMed  Google Scholar 

  38. Spielberger C (1983) Manual for the state-trait anxiety inventory. Consulting Psychologists Press, Palo Alto

    Google Scholar 

  39. Strain EC, Stoller K, Walsh SL, Bigelow GE (2000) Effects of buprenorphine versus buprenorphine/naloxone tablets in non-dependent opioid abusers. Psychopharmacology 148:374–383

    CAS  PubMed  Google Scholar 

  40. Tramullas M, Martinez-Cue C, Hurle MA (2007) Chronic methadone treatment and repeated withdrawal impair cognition and increase the expression of apoptosis-related proteins in mouse brain. Psychopharmacology 193:107–120

    CAS  PubMed  Google Scholar 

  41. Verdejo A, Toribio I, Orozco C, Puente KL, Perez-Garcia M (2005) Neuropsychological functioning in methadone maintenance patients versus abstinent heroin abusers. Drug Alcohol Depend 78:283–288

    CAS  PubMed  Google Scholar 

  42. Wager TD, Smith EE (2003) Neuroimaging studies of working memory. Cogn Affect Behav Neurosci 3:255–274

    PubMed  Google Scholar 

  43. Ward J, Hall W, Mattick RP (1999) Role of maintenance treatment in opioid dependence. Lancet 353:221–226

    CAS  PubMed  Google Scholar 

  44. Wollman SC, Alhassoon OM, Hall MG, Stern MJ, Connors EJ, Kimmel CL, Allen KE, Stephan RA, Radua J (2017) Gray matter abnormalities in opioid-dependent patients: a neuroimaging meta-analysis. Am J Drug And Alcohol Abuse 43:505–517

    Google Scholar 

  45. Wollman SC, Alhassoon OM, Hall MG, Stern MJ, Connors EJ, Kimmel CL, Allen KE, Stephan RA, Radua J (2017) Gray matter abnormalities in opioid-dependent patients: a neuroimaging meta-analysis. Am J Drug Alcohol Abuse 43:505–517

    PubMed  Google Scholar 

  46. Yassa MA, Stark CE (2009) A quantitative evaluation of cross-participant registration techniques for MRI studies of the medial temporal lobe. NeuroImage 44:319–327

    PubMed  Google Scholar 

  47. Yuan Y, Zhu Z, Shi J, Zou Z, Yuan F, Liu Y, Lee TM, Weng X (2009) Gray matter density negatively correlates with duration of heroin use in young lifetime heroin-dependent individuals. Brain Cogn 71:223–228

    PubMed  Google Scholar 

Download references

Acknowledgements

We would like to thank Michael Rieß, Christian Vollmert, and Oliver Klein for their assistance in data collection. We also like to thank U. Schmid for language editing and proof-reading.

Funding

The current study was funded by the Deutsche Forschungsgemeinschaft (DFG, TRR 265).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Patrick Bach.

Ethics declarations

Conflict of interest

The current study was conducted without additional financial support from any external research bodies. Outside the submitted work, Derik Hermann received honoraria for participating in advisory boards of the pharmaceutical companies Indivior, Camurus, and Servier. All other authors declare that they have no conflict of interest.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Bach, P., Frischknecht, U., Reinhard, I. et al. Impaired working memory performance in opioid-dependent patients is related to reduced insula gray matter volume: a voxel-based morphometric study. Eur Arch Psychiatry Clin Neurosci 271, 813–822 (2021). https://doi.org/10.1007/s00406-019-01052-7

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00406-019-01052-7

Keywords

Navigation