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Eliathamby Ambikairajah - One of the best experts on this subject based on the ideXlab platform.

  • spectro temporal analysis of speech affected by depression and Psychomotor Retardation
    International Conference on Acoustics Speech and Signal Processing, 2013
    Co-Authors: Nicholas Cummins, Julien Epps, Eliathamby Ambikairajah
    Abstract:

    To enhance current diagnostic methods used when assessing a depressed individual, an objective screening mechanism, ideally based on non-intrusive behavioral signals, is needed. Given the clinical description of depression speech as `dull, monotonous and flat' and promising previous results from spectral features, we hypothesize that the effects of depression on speech are embedded in spectro-temporal events. To test this hypothesis we explore different methodologies, based on the modulation spectrum, for extracting long-term spectro-temporal information from speech and assess their suitability as a clinical marker of depression. Results indicate that: depressive speech information is captured in the modulation spectrum, long-term spectro-temporal information is important in depressed speech identification and there are potential differences in the effects that depression and Psychomotor Retardation have on speech production mechanisms.

  • ICASSP - Spectro-temporal analysis of speech affected by depression and Psychomotor Retardation
    2013 IEEE International Conference on Acoustics Speech and Signal Processing, 2013
    Co-Authors: Nicholas Cummins, Julien Epps, Eliathamby Ambikairajah
    Abstract:

    To enhance current diagnostic methods used when assessing a depressed individual, an objective screening mechanism, ideally based on non-intrusive behavioral signals, is needed. Given the clinical description of depression speech as `dull, monotonous and flat' and promising previous results from spectral features, we hypothesize that the effects of depression on speech are embedded in spectro-temporal events. To test this hypothesis we explore different methodologies, based on the modulation spectrum, for extracting long-term spectro-temporal information from speech and assess their suitability as a clinical marker of depression. Results indicate that: depressive speech information is captured in the modulation spectrum, long-term spectro-temporal information is important in depressed speech identification and there are potential differences in the effects that depression and Psychomotor Retardation have on speech production mechanisms.

Peretz Lavie - One of the best experts on this subject based on the ideXlab platform.

Nicholas Cummins - One of the best experts on this subject based on the ideXlab platform.

  • spectro temporal analysis of speech affected by depression and Psychomotor Retardation
    International Conference on Acoustics Speech and Signal Processing, 2013
    Co-Authors: Nicholas Cummins, Julien Epps, Eliathamby Ambikairajah
    Abstract:

    To enhance current diagnostic methods used when assessing a depressed individual, an objective screening mechanism, ideally based on non-intrusive behavioral signals, is needed. Given the clinical description of depression speech as `dull, monotonous and flat' and promising previous results from spectral features, we hypothesize that the effects of depression on speech are embedded in spectro-temporal events. To test this hypothesis we explore different methodologies, based on the modulation spectrum, for extracting long-term spectro-temporal information from speech and assess their suitability as a clinical marker of depression. Results indicate that: depressive speech information is captured in the modulation spectrum, long-term spectro-temporal information is important in depressed speech identification and there are potential differences in the effects that depression and Psychomotor Retardation have on speech production mechanisms.

  • ICASSP - Spectro-temporal analysis of speech affected by depression and Psychomotor Retardation
    2013 IEEE International Conference on Acoustics Speech and Signal Processing, 2013
    Co-Authors: Nicholas Cummins, Julien Epps, Eliathamby Ambikairajah
    Abstract:

    To enhance current diagnostic methods used when assessing a depressed individual, an objective screening mechanism, ideally based on non-intrusive behavioral signals, is needed. Given the clinical description of depression speech as `dull, monotonous and flat' and promising previous results from spectral features, we hypothesize that the effects of depression on speech are embedded in spectro-temporal events. To test this hypothesis we explore different methodologies, based on the modulation spectrum, for extracting long-term spectro-temporal information from speech and assess their suitability as a clinical marker of depression. Results indicate that: depressive speech information is captured in the modulation spectrum, long-term spectro-temporal information is important in depressed speech identification and there are potential differences in the effects that depression and Psychomotor Retardation have on speech production mechanisms.

G. Pillar - One of the best experts on this subject based on the ideXlab platform.

Janet L Taylor - One of the best experts on this subject based on the ideXlab platform.

  • a study using transcranial magnetic stimulation to investigate motor mechanisms in Psychomotor Retardation in depression
    The International Journal of Neuropsychopharmacology, 2008
    Co-Authors: Colleen Loo, Perminder S Sachdev, Philip B Mitchell, Simon C Gandevia, Gin S Malhi, Gabrielle Todd, Janet L Taylor
    Abstract:

    The pathophysiological basis of Psychomotor Retardation in depression is unclear. In this study, transcranial magnetic stimulation (TMS) was used to examine the functioning of the motor cortical system in 19 depressed patients and 10 healthy control subjects. Motor-evoked potentials were measured in the biceps brachii muscle during a series of tests with the muscle at rest and during voluntary elbow flexion contractions. Maximal voluntary force, as well as force and electromyographic responses to TMS were also measured during fatiguing maximal contractions. Depressed Psychomotor-retarded subjects were less able to produce output from the motor cortex than non-Psychomotor-retarded, depressed subjects and healthy controls during maximal exertion and fatigue. This finding was independent of depression severity. In contrast, responses to TMS elicited during relaxation or weak contractions did not differ between healthy and Psychomotor-retarded subjects. Our study suggests that although the motor pathway from the motor cortex to the muscle is unimpaired, Psychomotor Retardation in depression is characterized by a reduced ability to drive the motor cortex.