Movement disorder and sensorimotor abnormalities in schizophrenia and other psychoses - European consensus on assessment and perspectives

Walther, Sebastian; Harten, Peter N. van; Waddington, John L.; Cuesta, Manuel J.; Peralta, Víctor; Dupin, Lucile; Foucher, Jack; Sambataro, Fabio; Morrens, Manuel; Kubera, Katharina M.; Pieters, L; Stegmayer, Katharina; Strik, Werner; Wolf, Robert Christian; Hirjak, Dušan

doi:10.1016/j.euroneuro.2020.07.003

Cited by 46 publications

(28 citation statements)

References 154 publications

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“…The selection of the respective nuisance variables for the categorical and dimensional approaches was based on different hypotheses, the influence of individual covariates on the target variables (FC metrics and catatonic symptoms) (Mamah, Ji, Rutlin, & Shimony, 2019 ; Payoux et al, 2004 ), previous MRI studies on motor abnormalities in SSD (Hirjak, Kubera, et al, 2019 ; Hirjak, Rashidi, et al, 2020 ; Huttlova et al, 2014 ; Walther et al, 2017 ) and the recommendations of the neuroimage community (Barnes et al, 2010 ; Hyatt et al, 2020 ) and the European collaboration on movement and sensorimotor/psychomotor functioning in SZ and other psychoses (ECSP) (Walther et al, 2020 ).…”

Section: Statistical Analysesmentioning

confidence: 99%

Intrinsic neural network dynamics in catatonia

Sambataro

Hirjak

Fritze

et al. 2021

Human Brain Mapping

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Catatonia is a transnosologic psychomotor syndrome with high prevalence in schizophrenia spectrum disorders (SSD). There is mounting neuroimaging evidence that catatonia is associated with aberrant frontoparietal, thalamic and cerebellar regions.Large-scale brain network dynamics in catatonia have not been investigated so far. In this study, resting-state fMRI data from 58 right-handed SSD patients were considered. Catatonic symptoms were examined on the Northoff Catatonia Rating Scale (NCRS). Group spatial independent component analysis was carried out with a multiple analysis of covariance (MANCOVA) approach to estimate and test the underlying intrinsic components (ICs) in SSD patients with (NCRS total score ≥ 3; n = 30) and without (NCRS total score = 0; n = 28) catatonia. Functional network connectivity (FNC) during rest was calculated between pairs of ICs and transient changes in connectivity were estimated using sliding windowing and clustering (to capture both static and dynamic FNC). Catatonic patients showed increased static FNC in cerebellar networks along with decreased low frequency oscillations in basal ganglia (BG) networks. Catatonic patients had reduced state changes and dwelled more in a state characterized by high within-network correlation of the sensorimotor, visual, and default-mode network with respect to noncatatonic patients. Finally, in catatonic patients according to DSM-IV-TR (n = 44), there was a significant correlation between increased within FNC in cortico-striatal state and NCRS motor scores. The data support a neuromechanistic model of catatonia that emphasizes a key role of disrupted sensorimotor network control during distinct functional states.

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Section: Statistical Analysesmentioning

confidence: 99%

Intrinsic neural network dynamics in catatonia

Sambataro

Hirjak

Fritze

et al. 2021

Human Brain Mapping

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“…Neuromotor dysfunction has been consistently linked to poor psychosocial and cognitive functioning and is deemed to stay close to the neurobiological underpinnings of the psychotic illness forming a specific phenomenological and outcome domain (56). Furthermore, it has been recently included as a specific field within the National Institute of Mental Health Research Domain Criteria (RDoC) framework (57).…”

Section: Neuromotor Dysfunctionmentioning

confidence: 99%

Prospective Long-Term Cohort Study of Subjects With First-Episode Psychosis Examining Eight Major Outcome Domains and Their Predictors: Study Protocol

et al. 2021

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Background: Our current ability to predict the long-term course and outcome of subjects with a first-episode of psychosis (FEP) is limited. To improve our understanding of the long-term outcomes of psychotic disorders and their determinants, we designed a follow-up study using a well-characterized sample of FEP and a multidimensional approach to the outcomes. The main goals were to characterize the long-term outcomes of psychotic disorders from a multidimensional perspective, to address the commonalities and differential characteristics of the outcomes, and to examine the common and specific predictors of each outcome domain. This article describes the rationale, methods, and design of a longitudinal and naturalistic study of subjects with epidemiologically defined first-admission psychosis.Methods: Eligible subjects were recruited from consecutive admissions between January 1990 and December 2009. Between January 2018 and June 2021, we sought to trace, re-contact, and re-interview the subjects to assess the clinical course, trajectories of symptoms and functioning, and the different outcomes of psychotic disorders. Since this is a naturalistic study, the research team will not interfere with the subjects' care and treatment. Predictors include antecedent variables, first-episode characteristics, and illness-related variables over the illness course. We assess eight outcome domains at follow-up: psychopathology, psychosocial functioning, self-rated personal recovery, self-rated quality of life, cognitive performance, neuromotor dysfunction, medical and psychiatric comorbidities, and mortality rate. The range of the follow-up period will be 10–31 years with an estimated mean of 20 years. We estimate that more than 50% of the baseline sample will be assessed at follow-up.Discussion: The study design was driven by the increasing need to refine the ability to predict the different clinical outcomes in FEP, and it aims to close current gaps in knowledge, with a broad approach to both the definition of outcomes and their determinants. To the best of our knowledge, this study is one of the few attempting to characterize the very long-term outcome of FEP and the only study addressing eight major outcome domains. We hope that this study helps to better characterize the long-term outcomes and their determinants, enabling better risk stratification and individually tailored, person-based interventions.

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“…Still, the distinction between these three phenomenologically very similar syndromes may be very complex. Therefore, clinical rating scales and standardized instrumental assessments should be used to measure sensorimotor dysfunction in psychiatric patients [22,23]. When possible, as many different constructs (dyskinesia, parkinsonism, catatonia, akathisia, and NMS, etc.)…”

Section: To the Editormentioning

confidence: 99%

“…When possible, as many different constructs (dyskinesia, parkinsonism, catatonia, akathisia, and NMS, etc.) as possible should be studied using different units of analysis within transdiagnostic study samples [22,23].…”

Section: To the Editormentioning

confidence: 99%