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Review
. 2017 Sep 1;43(5):956-971.
doi: 10.1093/schbul/sbx089.

Motor Abnormalities: From Neurodevelopmental to Neurodegenerative Through "Functional" (Neuro)Psychiatric Disorders

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Review

Motor Abnormalities: From Neurodevelopmental to Neurodegenerative Through "Functional" (Neuro)Psychiatric Disorders

Victor Peralta et al. Schizophr Bull. .

Abstract

Background: Motor abnormalities (MAs) of severe mental disorders have been traditionally neglected both in clinical practice and research, although they are an increasing focus of attention because of their clinical and neurobiological relevance. For historical reasons, most of the literature on MAs has been focused to a great extent on schizophrenia, and as a consequence their prevalence and featural properties in other psychiatric or neuropsychiatric disorders are poorly known. In this article, we evaluated the extent to which catatonic, extrapyramidal and neurological soft signs, and their associated clinical features, are present transdiagnostically.

Methods: We examined motor-related features in neurodevelopmental (schizophrenia, obsessive compulsive disorder, autism spectrum disorders), "functional" (nonschizophrenic nonaffective psychoses, mood disorders) and neurodegenerative (Alzheimer's disease) disorders. Examination of the literature revealed that there have been very few comparisons of motor-related features across diagnoses and we had to rely mainly in disorder-specific studies to compare it transdiagnostically.

Results: One or more motor domains had a substantial prevalence in all the diagnoses examined. In "functional" disorders, MAs, and particularly catatonic signs, appear to be markers of episode severity; in chronic disorders, although with different degree of strength or evidence, all motor domains are indicators of both disorder severity and poor outcome; lastly, in Alzheimer's disease they are also indicators of disorder progression.

Conclusions: MAs appear to represent a true transdiagnostic domain putatively sharing neurobiological mechanisms of neurodevelopmental, functional or neurodegenerative origin.

Keywords: Alzheimer’s disease; autism spectrum disorders; mood disorders; obsessive-compulsive disorder; psychosis; schizophrenia.

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Figures

Fig. 1.
Fig. 1.
Data were re-analyzed from Peralta et al. This sample population was derived from a family study comprising 1094 subjects affected with psychotic or mood disorders, who were recruited from out and inpatients facilities in Navarra (Spain) between years 1990 and 2014. Subjects were diagnosed according to the Diagnostic and Statistical Manual of Mental Disorders (4th edition), and catatonia was assessed by means of the Comprehensive Assessment of Symptoms and History (CASH).

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References

    1. Borsboom D. A network theory of mental disorders. World Psychiatry. 2017;16:5–13. - PMC - PubMed
    1. Kotov R, Watson D, Bagby RM et al. . The hierarchical taxonomy of psychopathology (HiTOP): adimensional alternative to traditional nosologies. J Abnorm Psychol. 2017;126:454–477. - PubMed
    1. Wigman JT, de Vos S, Wichers M, van Os J, Bartels-Velthuis AA. A transdiagnostic network approach to psychosis. Schizophr Bull. 2017;43:122–132. - PMC - PubMed
    1. American Psychiatric Association. Diagnostic and Statistical Manual of Mental Disorders. 5th ed Washington, DC: American Psychiatric Association; 2013.
    1. Leonhard K. The classification of endogenous psychoses. Translated by R, Berman (1979). New York, NY: Irvington Publishers Inc; 1957.

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