Cited by 24Schizophrenia research and treatmentNeurotransmitter Receptor Influence on BehaviorMental Health and Psychiatry

Evaluation of state and trait biomarkers in healthy volunteers for the development of novel drug treatments in schizophrenia

Koychev, Ivan, Barkus, Emma, Ettinger, Ulrich, Killcross, Simon, Roiser, Jonathan P, Wilkinson, Lawrence, Deakin, Bill·2011·Journal of Psychopharmacology

Abstract

Antipsychotic drugs are the mainstay of treatment for schizophrenia but they have little effect on core negative symptoms or cognitive impairment. To meet the deficiencies of current treatments, novel potential compounds are emerging from preclinical research but translation to clinical success has been poor. This article evaluates the possibility that cognitive and physiological abnormalities in schizophrenia can be used as central nervous system biomarkers to predict, in healthy volunteers, the likely efficacy of entirely new pharmacological approaches to treatment. Early detection of efficacy would focus resource on rapidly developing, effective drugs. We review the relevance of selected cognitive and physiological abnormalities as biomarkers in schizophrenia and three of its surrogate populations: (i) healthy volunteers with high trait schizotypy; (ii) unaffected relatives of patients; and (iii) healthy volunteers in a state of cortical glutamate disinhibition induced by low-dose ketamine. Several biomarkers are abnormal in these groups and in some instances there has been exploratory work to determine their sensitivity to drug action. They are generally insensitive to current antipsychotics and therefore their predictive validity cannot be established until novel, therapeutically useful drugs are discovered. Until then such biomarker studies can provide evidence of drugs engaging with the mechanism of interest and encouragement of the concept.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1177/0269881111414450

Cites

18 of 18 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Conditional discrimination tasks have been suggested as a useful translational paradigm for assessing the cognitive inflexibility observed in neuropsychiatric disease.

    “Conditional discrimination tasks have been suggested as a useful translational paradigm for assessing the cognitive inflexibility observed in neuropsychiatric disease [43].”

    From Linking haploinsufficiency of the autism- and schizophrenia-associated gene Cyfip1 with striatal-limbic-cortical network dysfunction and cognitive inflexibility (2024) · cites this paper as [43]

    The Biconditional learning section (p. 9) says conditional discrimination tasks assess how task-setting cues control performance and links difficulty applying such cues to cognitive deficits in schizophrenia. It describes human and animal versions, but notes that few human studies exist and that animal drug effects have not yet been shown to reproduce in humans. The claim extends this schizophrenia-focused discussion to neuropsychiatric disease generally and presents the task’s translational usefulness more broadly than the paper establishes. (LLM, conf=0.82)

    Experimental — accuracy not yet measured

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Research works printed but not linked: 12

  1. Baddeley AD (1986) Working Memory . Oxford: Oxford University Press.
  2. Bentall RP (1990) The illusion of reality: a review and integration of psychological research on hallucinations. Psychol Bull 107: 82-95.
  3. Buzsaki G (2006) Rhythms of the Brain . Oxford and New York: Oxford University Press.
  4. Davis KL, Kahn RS, Ko G, et al. (1991) Dopamine in schizophrenia: a review and reconceptualization. Am J Psychiatry 148: 1474-1486.
  5. Haenschel CRA, Bittner J, Waltz F, Haertling M, Wibral W, Singer DE, Linden and Rodriguez E. (2009). Cortical oscillatory activity is critical for working memory as revealed by deficits in earlyonset schizophrenia. J Neurosci 29(30): 9481-9489.
  6. Houthoofd SA, Morrens M, and Sabbe BG. (2008). Cognitive and psychomotor effects of risperidone in schizophrenia and schizoaffective disorder. Clin Ther 30(9): 1565-1589.
  7. Hutton SB and Ettinger U (2006) The antisaccade task as a research tool in psychopathology: a critical review. Psychophysiology 43: 302-313.
  8. Lencer R, Sprenger A, Harris MS, Reilly JL, Keshavan MS and Sweeney JA. (2008) Effects of second-generation antipsychotic medication on smooth pursuit performance in antipsychotic-naive schizophrenia. Arch Gen Psychiatry 65(10): 1146-1154.
  9. Marcotte ER, Pearson DM and Srivastava LK (2001) Animal models of schizophrenia: a critical review. J Psychiatry Neurosci 26: 395-410.
  10. Morgan CJ and Curran HV (2006) Acute and chronic effects of ketamine upon human memory: a review. Psychopharmacology (Berl) 188: 408-424.
  11. Ribeiz SR, Bassitt DP, Arrais JA, et al. (2010) Cholinesterase inhibitors as adjunctive therapy in patients with schizophrenia and schizoaffective disorder: a review and meta-analysis of the literature. CNS Drugs 24: 303-317.
  12. Snitz BE, Macdonald AW III and Carter CS (2006) Cognitive deficits in unaffected first-degree relatives of schizophrenia patients: a meta-analytic review of putative endophenotypes. Schizophr Bull 32: 179-194.

Cited by

Sorted by citations

Authors
Koychev, I., Barkus, E., Ettinger, U., Killcross, S., Roiser, J. P., Wilkinson, L., & Deakin, B.
Affiliations
  • University of Manchester (GB)
  • University of Wollongong (AU)
  • Ludwig-Maximilians-Universität München (DE)
  • UNSW Sydney (AU)
  • University College London (GB)
  • Cardiff University (GB)
  • Neuroscience and Psychiatry Unit, School of Community Based Medicine, University of Manchester, Manchester, UK.
Corresponding author
Koychev, Ivan
Venue
Journal of Psychopharmacology
Published
2011-09
Volume
25
Issue
9
Pages
1207-1225
ISSN
  • 0269-8811 (ISSN-L)
  • 1461-7285
OpenAlex
W2133035449
Cited by
24
References
18
Citations by year
2024: 2 · 2023: 1 · 2020: 1 · 2019: 1 · 2018: 3 · 2017: 1 · 2016: 2 · 2015: 3 · 2014: 2 · 2013: 5 · 2012: 2
FWCI
2.19
Type
journal article
Language
en
Open access
closed
Locations
  • Journal of Psychopharmacology (publishedVersion)
  • PubMed (publishedVersion)
  • Research Online (University of Wollongong) (submittedVersion)
  • UCL Discovery (University College London) (submittedVersion)
  • Open access LMU (Ludwid Maxmilian's Universitat Munchen) (submittedVersion)
  • Figshare (submittedVersion)
  • Research Explorer (The University of Manchester) (submittedVersion)
Funders
National Institute for Health and Care Research (NF-SI-0509-10229)
Topics
  • Health Sciences › Medicine › Psychiatry and Mental health › Schizophrenia research and treatment
  • Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neurotransmitter Receptor Influence on Behavior
  • Social Sciences › Arts and Humanities › Philosophy › Mental Health and Psychiatry
Keywords
schizophrenia, biomarkers, antipsychotic drugs, cognitive impairment, negative symptoms, schizotypy, unaffected relatives, ketamine, drug efficacy prediction, healthy volunteers, translational research
MeSH terms
Animals, Cognition Disorders, Humans, Schizophrenia, Antipsychotic Agents, Drug Design, Biomarkers, Research Subjects, Translational Research, Biomedical, Healthy Volunteers

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review