Skip to main content
Schizophrenia Bulletin logoLink to Schizophrenia Bulletin
. 2016 Aug 18;42(6):1322–1325. doi: 10.1093/schbul/sbw123

Cross-Cutting Advancements Usher in a New Era for Motor Research in Psychosis

Vijay A Mittal 1,*
PMCID: PMC5049538  PMID: 27539952

As gesture serves as an interaction point between motor, language, and sensory-integration processes, an intersection also implicated in psychosis, schizophrenia researchers have recently turned toward this area as well.1 The findings of Walther et al2 move our understanding of this nascent field significantly ahead, with results indicating that deficits in gesture performance and perception are closely tied with clinical and functional outcome in individuals with schizophrenia over a 6-month period. More broadly, this article suggests that a test of hand gesture may provide a viable method for predicting clinical course and potentially highlighting a novel vulnerability subtype in schizophrenia patients. Given the importance of these findings, and the relative ease of such assessments, the questions remain—why are we not seeing more studies like this, and where are the translational applications? Further, in addition to aberrant gesture, schizophrenia has been linked with a range of motor signs including delays in developmental milestones, clumsiness, poor coordination, abnormalities in gait, posture and neuromusculature, diffuse neurological soft signs, catatonia, psychomotor slowing, and both medication-induced and spontaneous hyper/hypo dyskinesias spanning muscle groups throughout the body. Despite the broad array of affected behaviors and characteristics, and the long history of movement and motor research in this area,3 the question remains, why is this such a neglected area in our field?

There are several factors that have been impeding more widespread use of motor variables in cutting-edge research. First, rigid intradisciplinary boundaries between neurology and psychiatry have historically kept abnormalities in movement and socio-emotional behavior distinct. In a related issue, until recently, key relevant target structures such as the basal ganglia and cerebellum have been viewed primarily as a motor centers and related movement behaviors have not been linked into the sophisticated comprehensive models or etiological theories that are often necessary generate enthusiasm about a domain or target. Second, the advent of first-generation antipsychotic medications, which produce characteristic movement disorders in some patients, contributed to further confusion about etiology of movement signs. More broadly, both generations of neuroleptics have also continued to serve as a tricky barrier for definitive research in this area.4 Third, empirical studies have relied almost entirely on drug-induced motor abnormality assessments,5 or scales designed to follow diffuse markers (eg, neurological soft signs).6 While these instruments can be reliable at a particular site, they require highly specialized training, miss more subtle movements, and can press investigators to impose subjective categories on continuous phenotypes. Fourth, although it has been clear for some time that there are motor abnormalities present in psychosis, the translational relevance of these markers is uncertain. Finally, motor behaviors have been left out of initiatives such as the Research Domain Criteria (RDoC).7

Despite these limitations, several trends have taken motor abnormalities to the cusp of what promises to be a renaissance in this area. First, a proliferation of cognitive-neuroscience studies utilizing multimodal imaging methodologies and sophisticated animal models have led to several exciting new directions. Specifically, both the basal ganglia and cerebellum are now viewed as integral parts of larger circuits (cortical-striatal-pallido-thalamic and cerebellar-thalamic-cortical-cerebellar loops), and seen as critical modulators for motor behaviors as well as a range of higher-order cognitive and affective functions.8,9 Indeed, if schizophrenia is a disorder characterized by domains of symptoms as well as cognitive and emotive deficits spanning a host of disparate mechanisms and structures, then perhaps these circuits, responsible for dynamic communication with frontal areas, may be a good target for explaining this heterogeneity.10 Although theories have pointed to this idea in the past,11,12 sophisticated cross-disciplinary empirical work is now filling in the missing pieces. One of the most exciting developments in this area focuses on new evidence suggesting direct 2-way communication between the basal ganglia and the cerebellum, independent of the cortex.13 This sets the stage for a new integrated theory of subcortical dysfunction in psychosis. In this context, related motor behaviors remain among the most promising proximal behavioral markers.

Several factors have also helped to rectify motor-related confusion surrounding neuroleptic medications. As a class, the second generation antipsychotics have a lower propensity to cause extrapyramidal symptoms,14 and widespread adoption of the atypicals may have set the stage for clinicians and researchers to become more aware of a range of aberrant motor behaviors. In the past, when prescribing a patient first generation antipsychotics, clinical attention to initial extrapyramidal symptoms, and then later in treatment to tardive dyskinesia specifically, may have diverted focus from these features. Second, evidence has been gathering over the past two decades to suggest that spontaneous motor abnormalities can occur as a function of pathophysiology in a sizeable subsample of individuals with schizophrenia.15,16 This has been demonstrated in studies of unaffected relatives,17 prodromal youth,18,19 as well as medication naïve groups (for a review see Pappa and Dazzan20). Although it is still difficult to study motor behaviors in patients treated with any medications that affect subcortical dopamine (DA) activity, a more widespread understanding that these behaviors reflect pathogenic processes, research approaches with low dosage inclusion criteria and medication-free or medication-naïve patients, as well as designs focusing on individuals who represent a lower vulnerability loading on the psychosis continuum (ie, populations with elevated schizotypy, schizotypal personality disorder, and nonclinical psychosis exhibit motor abnormalities but are often unmedicated),21–26 will continue to open new avenues.

One of the most substantial advances in this area relates to novel instrumental approaches to assessing motor dysfunction. In contrast to early iterations of instrumental approaches, which paved the way but were limited by the use of different apparatus and thresholds/conventions across sites (investigators often designed and built these devices themselves), these new approaches lend well to standardization. Among the many promising approaches are computerized handwriting analysis,27,28 balance assessments,29 motion sensors, and actigraphy.30 Researchers also continue work with industry to develop validated smartphone applications.31 In terms of translational applications, it is noteworthy that these approaches can be implemented and scored quickly primary-care settings without specialized training. There are several advantages from a research perspective as well. Quantification with these measures does not require subjective decisions about the presence or absence of abnormalities. In a related point, these methods provide continuous data allowing for more powerful research designs. Most noteworthy is that they are capable of detecting subthreshold movement abnormalities that are not detectible to the eye. For example, estimates from traditional observer-based inventories of spontaneous motor abnormalities suggest rates of 9% for dyskinesia and 17% for Parkinsonian signs in medication naïve adults with schizophrenia20 whereas studies utilizing the more sensitive instrumental measures report rates up to 20% and 28%, respectively.32 Further, motor assessments have continued to benefit from the integration with experimental modalities such as transcranial direct current stimulation (tDCS).33 Finally, paring these assessments with multimodal neuroimaging methods has provided evidence to suggest that some motor behaviors previously thought of as diffuse are actually specific; eg, there is evidence that neurological domains that were previously categorized as “soft” have been linked to specific regions such as the cerebellum, or specific cerebellar-thalamic tracts.34 This trend is likely to continue, as recent years have seen adaptation for use of the noted instrumental assessments inside the scanner.35

Although abnormal motor behaviors have been detected long before the onset of the first positive symptoms in psychosis,36–38 until now the potential for translational applications has been somewhat unclear. However, as motor behaviors are integrally tied to many of the same processes that, in part, drive the onset and maintenance of psychosis (eg, aberrant DA activity in basal ganglia circuits), there are several areas of rich potential here. Some work suggests promise for incorporating motor markers into individualized medicine. For example, there is evidence that neuromotor signs predict treatment response to neuroleptics.39,40 Further, the area of prodromal research has provided another promising translational application. During the adolescent prodromal period, when DA abnormalities escalate,41 and potentially interact with extant early vulnerabilities (eg, signs of general motor system impairment pinpointed in archival and childhood home-video designs),38 emerging specific motor signs such as hyperkinetic movements may serve as a highly sensitive prognostic indicator of basal ganglia dysfunction.42 In support of this theory, prospective investigations in youth with prodromal syndromes have observed that the presence of specific motor abnormalities significantly increases the odds of developing psychosis in a brief 2-year period.10,43 In a new exciting direction, some work also suggests that cerebellar-specific motor behavior (i.e., balance) may also have unique predictive value for negative symptoms as well.29,44 This series of findings has significant practical use for the refinement of risk calculators45 as well as efforts to understand unique potential subtypes.

Finally, it is important to note that while motor dysfunction was not incorporated into the initial RDoC Matrix, this will not likely be the case for long. Consistent with this notion, it is important to note that several motor signs appear to occur across a range of psychopathology (eg, attention deficit hyper-activity disorder, autism spectrum disorder, depression, bipolar disorder, Alzheimer’s).46–50 We are just now beginning to investigate diagnostic boundaries of these core behaviors, but it is clear that because specific movement domains are closely tied to underlying brain circuits, motor markers lend well to cross-diagnostic approaches. Within the context of RDoC, this type of progress will inevitably encourage motor researchers to consider new units of analysis and groups of other research experts to incorporate motor variables into their proposals. Taken together with this emerging cross-pollination and the other recent advancements, it is clear that we are in store for new era for motor research in psychosis.

Funding

Dr Mittal was supported by National Institute of Mental Health (R01 MH094650 and R21/33 MH103231).

Acknowledgments

The authors have declared that there are no conflicts of interest in relation to the subject of this study.

References

  • 1. Walther S, Mittal VA. Why we should take a closer look at gestures. Schizophr Bull. 2016;42:259–261. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2. Walther S, Eisenhardt S, Blhlhalter S, et al. Gesture performance in schizophrenia predicts functional outcome after 6 months. Schizophr Bull. In press. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3. Reiter PJ. Extrapyramidal motor-disturbances in dementia praecox. Acta Psychiatr Neurol Scand. 1926;1926:287–309. [Google Scholar]
  • 4. Mittal VA, Walker EF. Movement abnormalities: a putative biomarker of risk for Psychosis. In: Ritsner MS, ed. The Handbook of Neuropsychiatric Biomarkers, Endophenotypes, and Genes: Neuropsychological Endophenotypes and Biomarkers. New York: Springer; 2009: 239–258. [Google Scholar]
  • 5. Kalachnik JE, Sprague RL. The dyskinesia Identification System Condensed User Scale (DISCUS): reliability, validity, and a total score cut-off for mentally ill and mentally retarded populations. J Clin Psychol. 1993;49:177–189. [PubMed] [Google Scholar]
  • 6. Buchanan RW, Heinrichs DW. The Neurological Evaluation Scale (NES): a structured instrument for the assessment of neurological signs in schizophrenia. Psychiatry Res. 1989;27:335–350. [DOI] [PubMed] [Google Scholar]
  • 7. Bernard JA, Mittal VA. Updating the research domain criteria: the utility of a motor dimension. Psychol Med. 2015;45:2685–2689. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8. Obeso JA, Rodriguez-Oroz MC, Stamelou M, Bhatia KP, Burn DJ. The expanding universe of disorders of the basal ganglia. Lancet. 2014;384:523–531. [DOI] [PubMed] [Google Scholar]
  • 9. Brissenden JA, Levin EJ, Osher DE, Halko MA, Somers DC. Functional evidence for a cerebellar node of the dorsal attention network. J Neurosci. 2016;36:6083–6096. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10. Mittal VA, Walker EF, Bearden CE, et al. Markers of basal ganglia dysfunction and conversion to psychosis: neurocognitive deficits and dyskinesias in the prodromal period. Biol Psychiatry. 2010;68:93–99. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11. Andreasen NC, Paradiso S, O’Leary DS. “Cognitive dysmetria” as an integrative theory of schizophrenia: a dysfunction in cortical-subcortical-cerebellar circuitry? Schizophr Bull. 1998;24:203–218. [DOI] [PubMed] [Google Scholar]
  • 12. Robbins TW. The case of frontostriatal dysfunction in schizophrenia. Schizophr Bull. 1990;16:391–402. [DOI] [PubMed] [Google Scholar]
  • 13. Bostan AC, Dum RP, Strick PL. The basal ganglia communicate with the cerebellum. Proc Natl Acad Sci USA. 2010;107:8452–8456. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14. Leucht S, Corves C, Arbter D, Engel RR, Li C, Davis JM. Second-generation versus first-generation antipsychotic drugs for schizophrenia: a meta-analysis. Lancet. 2009;373:31–41. [DOI] [PubMed] [Google Scholar]
  • 15. Fenton WS, Blyler CR, Wyatt RJ, McGlashan TH. Prevalence of spontaneous dyskinesia in schizophrenic and non-schizophrenic psychiatric patients. Br J Psychiatry. 1997;171:265–268. [DOI] [PubMed] [Google Scholar]
  • 16. Fenton WS, Wyatt RJ, McGlashan TH. Risk factors for spontaneous dyskinesia in schizophrenia. Arch Gen Psychiatry. 1994;51:643–650. [DOI] [PubMed] [Google Scholar]
  • 17. Koning JP, Kahn RS, Tenback DE, van Schelven LJ, van Harten PN. Movement disorders in nonpsychotic siblings of patients with nonaffective psychosis. Psychiatry Res. 2011;188:133–137. [DOI] [PubMed] [Google Scholar]
  • 18. Dean DJ, Mittal VA. Spontaneous parkinsonisms and striatal impairment in neuroleptic free youth at ultrahigh risk for psychosis. NPJ Schizophr. 2015;1. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19. Mittal VA, Jalbrzikowski M, Daley M, Roman C, Bearden CE, Cannon TD. Abnormal movements are associated with poor psychosocial functioning in adolescents at high risk for psychosis. Schizophr Res. 2011;130:164–169. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20. Pappa S, Dazzan P. Spontaneous movement disorders in antipsychotic-naive patients with first-episode psychoses: a systematic review. Psychol Med. 2009;39:1065–1076. [DOI] [PubMed] [Google Scholar]
  • 21. Mittal VA, Smolen A, Dean DJ, Pelletier AL, Lunsford-Avery J, Smith A. BDNF Val66Met and spontaneous dyskinesias in non-clinical psychosis. Schizophr Res. 2012;140:65–70. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22. Mittal VA, Orr JM, Turner JA, et al. Striatal abnormalities and spontaneous dyskinesias in non-clinical psychosis. Schizophr Res. 2013;151:141–147. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23. Mittal VA, Dean DJ, Pelletier A, Caligiuri M. Associations between spontaneous movement abnormalities and psychotic-like experiences in the general population. Schizophr Res. 2011;132:194–196. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24. Blanchard MM, Jacobson S, Clarke MC, et al. Language, motor and speed of processing deficits in adolescents with subclinical psychotic symptoms. Schizophr Res. 2010;123:71–76. [DOI] [PubMed] [Google Scholar]
  • 25. Lenzenweger MF, Maher BA. Psychometric schizotypy and motor performance. J Abnorm Psychol. 2002;111:546–555. [DOI] [PubMed] [Google Scholar]
  • 26. Mittal VA, Tessner KD, McMillan AL, Delawalla Z, Trotman HD, Walker EF. Gesture behavior in unmedicated schizotypal adolescents. J Abnorm Psychol. 2006;115:351–358. [DOI] [PubMed] [Google Scholar]
  • 27. Dean DJ, Orr JM, Newberry RE, Mittal VA. Motor behavior reflects reduced hemispheric asymmetry in the psychosis risk period. Schizophr Res. 2016;170:137–142. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28. Dean DJ, Teulings HL, Caligiuri M, Mittal VA. Handwriting analysis indicates spontaneous dyskinesias in neuroleptic naive adolescents at high risk for psychosis. J Vis Exp. 2013:e50852. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29. Bernard JA, Dean DJ, Kent JS, et al. Cerebellar networks in individuals at ultra high-risk of psychosis: impact on postural sway and symptom severity. Hum Brain Mapp. 2014;35:4064–4078. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30. Mahlberg R, Walther S. Actigraphy in agitated patients with dementia. Monitoring treatment outcomes. Z Gerontol Geriatr. 2007;40:178–184. [DOI] [PubMed] [Google Scholar]
  • 31. Lee W, Evans A, Williams DR. Validation of a smartphone application measuring motor function in Parkinson’s disease. J Parkinsons Dis. 2016;6:371–382. [DOI] [PubMed] [Google Scholar]
  • 32. Cortese L, Caligiuri MP, Malla AK, Manchanda R, Takhar J, Haricharan R. Relationship of neuromotor disturbances to psychosis symptoms in first-episode neuroleptic-naive schizophrenia patients. Schizophr Res. 2005;75:65–75. [DOI] [PubMed] [Google Scholar]
  • 33. Nitsche MA, Paulus W. Excitability changes induced in the human motor cortex by weak transcranial direct current stimulation. J Physiol. 2000;527(Pt 3):633–639. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34. Mittal VA, Dean DJ, Bernard JA, et al. Neurological soft signs predict abnormal cerebellar-thalamic tract development and negative symptoms in adolescents at high risk for psychosis: a longitudinal perspective. Schizophr Bull. 2014;40:1204–1215. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35. Martinelli C, Rigoli F, Shergill SS. Aberrant force processing in schizophrenia. Schizophr Bull. 2016. doi: 10.1093/schbul/sbw092 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36. Rosso IM, Bearden CE, Hollister JM, et al. Childhood neuromotor dysfunction in schizophrenia patients and their unaffected siblings: a prospective cohort study. Schizophr Bull. 2000;26:367–378. [DOI] [PubMed] [Google Scholar]
  • 37. Schiffman J, Walker E, Ekstrom M, Schulsinger F, Sorensen H, Mednick S. Childhood videotaped social and neuromotor precursors of schizophrenia: a prospective investigation. Am J Psychiatry. 2004;161:2021–2027. [DOI] [PubMed] [Google Scholar]
  • 38. Walker EF. Developmentally moderated expressions of the neuropathology underlying schizophrenia. Schizophr Bull. 1994;20:453–480. [DOI] [PubMed] [Google Scholar]
  • 39. Mittal VA, Hasenkamp W, Sanfilipo M, et al. Relation of neurological soft signs to psychiatric symptoms in schizophrenia. Schizophr Res. 2007;94:37–44. [DOI] [PubMed] [Google Scholar]
  • 40. Peralta V, Cuesta MJ. Neuromotor abnormalities in neuroleptic-naive psychotic patients: antecedents, clinical correlates, and prediction of treatment response. Compr Psychiatry. 2011;52:139–145. [DOI] [PubMed] [Google Scholar]
  • 41. Howes O, Bose S, Turkheimer F, et al. Progressive increase in striatal dopamine synthesis capacity as patients develop psychosis: a PET study. Mol Psychiatry. 2011;16:885–886. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42. Mittal VA, Daley M, O’Niell J, Bearden CE, Cannon T. Striatal volumes and dyskinetic movements in youth at high-risk for psychosis. Schizophr Res. 2010;123:68–70. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43. Callaway DA, Perkins DO, Woods SW, Liu L, Addington J. Movement abnormalities predict transitioning to psychosis in individuals at clinical high risk for psychosis. Schizophr Res. 2014;159:263–266. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44. Dean DJ, Kent JS, Bernard JA, et al. Increased postural sway predicts negative symptom progression in youth at ultrahigh risk for psychosis. Schizophr Res. 2015;162:86–89. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 45. Cannon TD, Yu C, Addington J, et al. An individualized risk calculator for research in prodromal psychosis. Am J Psychiatry. 2016. http://dx.doi.org/10.1176/appi.ajp.2016.15070890 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 46. Bolbecker AR, Hong SL, Kent JS, Klaunig MJ, O’Donnell BF, Hetrick WP. Postural control in bipolar disorder: increased sway area and decreased dynamical complexity. PLoS One. 2011;6:e19824. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47. Buderath P, Gärtner K, Frings M, et al. Postural and gait performance in children with attention deficit/hyperactivity disorder. Gait Posture. 2009;29:249–254. [DOI] [PubMed] [Google Scholar]
  • 48. Buyukdura JS, McClintock SM, Croarkin PE. Psychomotor retardation in depression: biological underpinnings, measurement, and treatment. Prog Neuropsychopharmacol Biol Psychiatry. 2011;35:395–409. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 49. Mostofsky SH, Goldberg MC, Landa RJ, Denckla MB. Evidence for a deficit in procedural learning in children and adolescents with autism: implications for cerebellar contribution. J Int Neuropsychol Soc. 2000;6:752–759. [DOI] [PubMed] [Google Scholar]
  • 50. Pettersson AF, Olsson E, Wahlund LO. Motor function in subjects with mild cognitive impairment and early Alzheimer’s disease. Dement Geriatr Cogn Disord. 2005;19:299–304. [DOI] [PubMed] [Google Scholar]

Articles from Schizophrenia Bulletin are provided here courtesy of Oxford University Press

RESOURCES