Neural Predictive Error Signal Correlates with Depressive Illness Severity in a Game Paradigm

John Douglas Steele, M. Meyer, K. P. Ebmeier

    Research output: Contribution to journalArticle

    32 Citations (Scopus)

    Abstract

    Considerable experimental evidence supports the existence of predictive error signals in various brain regions during associative learning in animals and humans. These regions include the prefrontal cortex, temporal lobe, cerebellum and monoamine systems. Various quantitative theories have been developed to describe behaviour during learning, including Rescorla-Wagner, Temporal Difference and Kalman filter models. These theories may also account for neural error signals. Reviews of imaging studies of depressive illness have consistently implicated the prefrontal and temporal lobes as having abnormal function, and sometimes structure, whilst the monoamine systems are directly influenced by antidepressant medication. It was hypothesised that such abnormalities may be associated with a dysfunction of associative learning that would be reflected by different predictive error signals in depressed patients when compared with healthy controls. This was tested with 30 subjects, 15 with a major depressive illness, using a gambling paradigm and fMRI. Consistent with the hypothesis, depressed patients differed from controls in having an increased error signal. Additionally, for some brain regions, the magnitude of the error signal correlated with Hamilton depression rating of illness severity. Structural equation modelling was used to investigate hypothesised change in effective connectivity between prespecified regions of interest in the limbic and paralimbic system. Again, differences were found that in some cases correlated with illness severity. These results are discussed in the context of quantitative theories of brain function, clinical features of depressive illness and treatments. (C) 2004 Elsevier Inc. All rights reserved.

    Original languageEnglish
    Pages (from-to)269-280
    Number of pages11
    JournalNeuroimage
    Volume23
    DOIs
    Publication statusPublished - 2004

    Keywords

    • depression
    • error signal
    • game paradigm
    • UNIPOLAR DEPRESSION
    • REWARD PREDICTION
    • PREFRONTAL CORTEX
    • MOOD DISORDERS
    • HUMAN BRAIN
    • FMRI
    • PERFORMANCE
    • RESPONSES
    • SUBSTRATE
    • STRIATUM

    Cite this

    Neural Predictive Error Signal Correlates with Depressive Illness Severity in a Game Paradigm. / Steele, John Douglas; Meyer, M.; Ebmeier, K. P.

    In: Neuroimage, Vol. 23, 2004, p. 269-280.

    Research output: Contribution to journalArticle

    Steele, John Douglas ; Meyer, M. ; Ebmeier, K. P. / Neural Predictive Error Signal Correlates with Depressive Illness Severity in a Game Paradigm. In: Neuroimage. 2004 ; Vol. 23. pp. 269-280.
    @article{900f1c10361b49288d23d716c0447856,
    title = "Neural Predictive Error Signal Correlates with Depressive Illness Severity in a Game Paradigm",
    abstract = "Considerable experimental evidence supports the existence of predictive error signals in various brain regions during associative learning in animals and humans. These regions include the prefrontal cortex, temporal lobe, cerebellum and monoamine systems. Various quantitative theories have been developed to describe behaviour during learning, including Rescorla-Wagner, Temporal Difference and Kalman filter models. These theories may also account for neural error signals. Reviews of imaging studies of depressive illness have consistently implicated the prefrontal and temporal lobes as having abnormal function, and sometimes structure, whilst the monoamine systems are directly influenced by antidepressant medication. It was hypothesised that such abnormalities may be associated with a dysfunction of associative learning that would be reflected by different predictive error signals in depressed patients when compared with healthy controls. This was tested with 30 subjects, 15 with a major depressive illness, using a gambling paradigm and fMRI. Consistent with the hypothesis, depressed patients differed from controls in having an increased error signal. Additionally, for some brain regions, the magnitude of the error signal correlated with Hamilton depression rating of illness severity. Structural equation modelling was used to investigate hypothesised change in effective connectivity between prespecified regions of interest in the limbic and paralimbic system. Again, differences were found that in some cases correlated with illness severity. These results are discussed in the context of quantitative theories of brain function, clinical features of depressive illness and treatments. (C) 2004 Elsevier Inc. All rights reserved.",
    keywords = "depression, error signal, game paradigm, UNIPOLAR DEPRESSION, REWARD PREDICTION, PREFRONTAL CORTEX, MOOD DISORDERS, HUMAN BRAIN, FMRI, PERFORMANCE, RESPONSES, SUBSTRATE, STRIATUM",
    author = "Steele, {John Douglas} and M. Meyer and Ebmeier, {K. P.}",
    year = "2004",
    doi = "10.1016/j.neuroimage.2004.04.023",
    language = "English",
    volume = "23",
    pages = "269--280",
    journal = "Neuroimage",
    issn = "1053-8119",
    publisher = "Academic Press Inc.",

    }

    TY - JOUR

    T1 - Neural Predictive Error Signal Correlates with Depressive Illness Severity in a Game Paradigm

    AU - Steele, John Douglas

    AU - Meyer, M.

    AU - Ebmeier, K. P.

    PY - 2004

    Y1 - 2004

    N2 - Considerable experimental evidence supports the existence of predictive error signals in various brain regions during associative learning in animals and humans. These regions include the prefrontal cortex, temporal lobe, cerebellum and monoamine systems. Various quantitative theories have been developed to describe behaviour during learning, including Rescorla-Wagner, Temporal Difference and Kalman filter models. These theories may also account for neural error signals. Reviews of imaging studies of depressive illness have consistently implicated the prefrontal and temporal lobes as having abnormal function, and sometimes structure, whilst the monoamine systems are directly influenced by antidepressant medication. It was hypothesised that such abnormalities may be associated with a dysfunction of associative learning that would be reflected by different predictive error signals in depressed patients when compared with healthy controls. This was tested with 30 subjects, 15 with a major depressive illness, using a gambling paradigm and fMRI. Consistent with the hypothesis, depressed patients differed from controls in having an increased error signal. Additionally, for some brain regions, the magnitude of the error signal correlated with Hamilton depression rating of illness severity. Structural equation modelling was used to investigate hypothesised change in effective connectivity between prespecified regions of interest in the limbic and paralimbic system. Again, differences were found that in some cases correlated with illness severity. These results are discussed in the context of quantitative theories of brain function, clinical features of depressive illness and treatments. (C) 2004 Elsevier Inc. All rights reserved.

    AB - Considerable experimental evidence supports the existence of predictive error signals in various brain regions during associative learning in animals and humans. These regions include the prefrontal cortex, temporal lobe, cerebellum and monoamine systems. Various quantitative theories have been developed to describe behaviour during learning, including Rescorla-Wagner, Temporal Difference and Kalman filter models. These theories may also account for neural error signals. Reviews of imaging studies of depressive illness have consistently implicated the prefrontal and temporal lobes as having abnormal function, and sometimes structure, whilst the monoamine systems are directly influenced by antidepressant medication. It was hypothesised that such abnormalities may be associated with a dysfunction of associative learning that would be reflected by different predictive error signals in depressed patients when compared with healthy controls. This was tested with 30 subjects, 15 with a major depressive illness, using a gambling paradigm and fMRI. Consistent with the hypothesis, depressed patients differed from controls in having an increased error signal. Additionally, for some brain regions, the magnitude of the error signal correlated with Hamilton depression rating of illness severity. Structural equation modelling was used to investigate hypothesised change in effective connectivity between prespecified regions of interest in the limbic and paralimbic system. Again, differences were found that in some cases correlated with illness severity. These results are discussed in the context of quantitative theories of brain function, clinical features of depressive illness and treatments. (C) 2004 Elsevier Inc. All rights reserved.

    KW - depression

    KW - error signal

    KW - game paradigm

    KW - UNIPOLAR DEPRESSION

    KW - REWARD PREDICTION

    KW - PREFRONTAL CORTEX

    KW - MOOD DISORDERS

    KW - HUMAN BRAIN

    KW - FMRI

    KW - PERFORMANCE

    KW - RESPONSES

    KW - SUBSTRATE

    KW - STRIATUM

    U2 - 10.1016/j.neuroimage.2004.04.023

    DO - 10.1016/j.neuroimage.2004.04.023

    M3 - Article

    VL - 23

    SP - 269

    EP - 280

    JO - Neuroimage

    JF - Neuroimage

    SN - 1053-8119

    ER -