Skip to main content
SpringerLink
Log in

Information Processing and Some Indicators of Brain Metabolism in Patients at Ultra-High Risk of Developing Endogenous Psychosis

  • Published:
Neuroscience and Behavioral Physiology Aims and scope Submit manuscript

Objective. Much attention in biological psychiatry in recent decades had been paid to functional and structural anomalies of the brain in groups at high risk of developing endogenous psychoses. Linkages between neurophysiological and neuroimaging parameters have been studied in cases of ultra-high risk of developing endogenous psychoses. The present report presents some results from the initial stage of this investigation. Materials and methods. A total of 56 patients aged 17–25 years with nonpsychotic mental disorders were studied. The control group consisted of 20 mentally healthy patients of comparable age and gender. Neurophysiological studies addressed measures characterizing the ability of the brain to “regulate” the volume of incoming information (sensory gating). Localizing proton MR spectroscopy was used simultaneously to determine some measures of metabolic processes in the brain (the glutamate/glutamine index and levels of N-acetylaspartate and choline-containing substances in the dorsolateral prefrontal cortex and thalamus of the left and right hemispheres and the genu and splenium of the corpus callosum. Results and conclusions. The results suggest impairment to the sensory filter in patients of the ultra-high risk group for developing endogenous psychoses; there was no correlation with the metabolic processes studied. These latter were normal or became normal during treatment.

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

Access this article

Log in via an institution

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

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  1. M. Davis and S. File, Habituation, Sensitization, and Behavior, Academic Press, New York (1984).

    Google Scholar 

  2. Z. I. Storozheva, A. V. Kirenskaya, I. E. Lazarev, et al., “Studies of the prestimulus modification of the acoustic startle reaction in healthy subjects and schizophrenia patients,” Zh. Nevrol. Psikhiat., 111, No. 2, 72 (2011).

  3. N. R. Swerdlow, M. Weber, Y. Qu, et al., “Realistic expectations of prepulse inhibition in translational models for schizophrenia research,” Psychopharmacology, 199, No. 3, 331–338 (2008).

  4. N. Boutrus, H. Nasrallah, R. Leighty, et al., “Auditory evoked potentials, clinical vs research applications,” Psychiat. Res., 69, 183–195 (2010).

    Article  Google Scholar 

  5. M. J. van Tricht, D. H. Nieman, J. H. Koelman, et al., “Auditory ERP components before and after transition to a first psychotic episode,” Biol. Psychol.,” 87, No. 3, 350–357 (2011).

  6. M. H. Hsieh, J. C. Shan, W. L. Huang, et al., “Auditory event-related potential of subjects with suspected pre-psychotic state and first-episode psychosis,” 140, No. 1, 243–249 (2012).

  7. A. Brockhaus-Dumke, F. Schultze-Lutter, R. Muelle, et al., “Sensory gating in schizophrenia: P50 and N100 gating in antipsychotic-free subjects at risk, first-episode, and chronic patients,” Biol. Psychiatry, 64, No. 5, 376–384 (2008).

    Article  PubMed  Google Scholar 

  8. P. Tibbo, S. E. Purdon, A. Valiakalayil, et al., “Elevated 3T proton MRS glutamate levels associated with poor Continuous Performance Test (CPT-0X) scores and genetic risk for schizophrenia,” Schizophr. Res., 99, No. 1, 218–224 (2008).

    PubMed  Google Scholar 

  9. C. de la Fuente-Sandoval, P. Leon-Ortiz, R. Favila, et al., “Higher levels of glutamate in the associative-striatum of subjects with prodromal symptoms of schizophrenia and patients with first-episode psychosis,” Neuropsychopharmacology, 36, No. 9, 1781–1791 (2011).

  10. S. J. Wood, C. Pantelis, D. Velakoulis, et al., “Neuroanatomical abnormalities before and after onset of psychosis: a cross-sectional and longitudinal MRI comparison,” Lancet, 361, No. 9354, 281–288 (2003).

  11. N. Tandon, N. R. Bolo, K. Sanghavi, et al., “Brain metabolite alterations in young adults at familial high risk for schizophrenia using proton magnetic resonance spectroscopy,” Schizophr. Res., 148, No. 1, 59–66 (2013).

    Article  PubMed  Google Scholar 

  12. Y. Shirayama, T. Obata, D. Matsuzawa, et al., “Specific metabolites in the medial prefrontal cortex are associated with the neurocognitive deficits in schizophrenia: a preliminary study,” Neuroimage, 49, No. 3, 2783–2790 (2010).

  13. S. Brugger, J. M. Davis, S. Leucht, and J. M. Stone, “Proton magnetic resonance spectroscopy and illness stage in schizophrenia – a systematic review and meta-analysis,” Biol. Psychiatry, 69, No. 5, 495–503 (2011).

    Article  PubMed  Google Scholar 

  14. K. Aydin, A. Ucok, and J. Guler, “Altered metabolic integrity of corpus callosum among individuals at ultra high risk of schizophrenia and first-episode patients,” Biol. Psychiatry, 64, No. 9, 750–757 (2008).

    Article  CAS  PubMed  Google Scholar 

  15. T. J. Miller, T. H. McGlashan, S. W. Woods, et al., “Symptom assessment in schizophrenic prodromal states,” Psych. Quart., 70, No. 4, 273–287 (1999).

    Article  CAS  Google Scholar 

  16. T. H. McGlashan, T. J. Miller, J. L. Rosen, et al., “Prodromal assessment with the structured interview for prodromal syndromes and the scale of prodromal symptoms: predictive validity, interrater reliability, and training to reliability,” Schizophr. Bull., 29, No. 4, 703 (2003).

  17. N. N. Boutrus, B. H. Jansen, and L. Hu, “Auditory evoked potential variability in healthy and schizophrenia subjects,” Clin. Neurophys., 121, No. 8, 1233–1239 (2010).

    Article  Google Scholar 

  18. N. N. Boutros, O. Korzyukov, B. Jansen, et al., “Sensory gating deficits during the mid-latency phase of information processing in medicated schizophrenia patients,” Psych. Res., 126, No. 3, 203–215 (2004).

    Article  Google Scholar 

  19. N. N. Boutros, A. Brockhaus-Dumke, K. Gjini, et al., “Sensorygating deficit of the N100 mid-latency auditory evoked potential in medicated schizophrenia patients,” Schizophr. Res., 113, No. 2, 339–346 (2009).

    Article  PubMed  PubMed Central  Google Scholar 

  20. I. Uhl, P. Mavrogiorgou, C. Norra, et al., “H-MR spectroscopy in ultra-high risk and first episode stages of schizophrenia,” J. Psychiatr. Res., 45, No. 9, 1135–1139 (2011).

    Article  PubMed  Google Scholar 

  21. P. Ohrmann, “Neurochemie der Schizophrenie: Möglichkeiten der Magnetresonanzspektroskopie,” in: Universitätskolloquien zur Schizophrenie, Steinkopff (2004), pp. 125–130.

Download references

Author information

Authors and Affiliations

  1. National Mental Health Center, Russian Academy of Medical Sciences, Moscow, Russia

    M. V. Shendyapina, M. A. Omel’chenko, I. S. Lebedeva, P. S. Kanonovich, O. A. Simonova & V. G. Kaleda

  2. Research Institute of Urgent Pediatric Surgery and Traumatology, Moscow Department of Health, Moscow, Russia

    N. A. Semenova, M. V. Ublinskii, D. M. Dmitrienko & T. A. Akhadov

  3. Emanuel Institute of Biochemical Physics, Russian Academy of Sciences, Moscow, Russia

    N. A. Semenova

  4. Semenov Institute of Physics, Russian Academy of Sciences, Moscow, Russia

    N. A. Semenova

Authors
  1. M. V. Shendyapina
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. M. A. Omel’chenko
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. I. S. Lebedeva
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. P. S. Kanonovich
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. N. A. Semenova
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. M. V. Ublinskii
    View author publications

    You can also search for this author in PubMed Google Scholar

  7. D. M. Dmitrienko
    View author publications

    You can also search for this author in PubMed Google Scholar

  8. T. A. Akhadov
    View author publications

    You can also search for this author in PubMed Google Scholar

  9. O. A. Simonova
    View author publications

    You can also search for this author in PubMed Google Scholar

  10. V. G. Kaleda
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to M. V. Shendyapina.

Additional information

Translated from Zhurnal Nevrologii i Psikhiatrii imeni S. S. Korsakova, Vol. 115, No. 1, Iss I, pp. 24–29, January, 2015.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Shendyapina, M.V., Omel’chenko, M.A., Lebedeva, I.S. et al. Information Processing and Some Indicators of Brain Metabolism in Patients at Ultra-High Risk of Developing Endogenous Psychosis. Neurosci Behav Physi 46, 523–528 (2016). https://doi.org/10.1007/s11055-016-0271-4

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11055-016-0271-4

Keywords

Search

Navigation