Assessment of Mental Imagery of Movement in Schizophrenia Volume 49- Issue 4

Theofilidis Antionis^1,4*, Savvidi George², Sofologi Maria³, Hanopoulou Margarita³, Tsagaridis Konstantinos³, karakatsoulis Grigoris⁸, Fountoulakis Konstantinos⁶, Nimatoudis Ioannis⁵ and Papaxanthis Charalampos⁷

• ¹Academic scholarship of the Department of Obstetrics, University of Western Macedonia, Greece
• ²PhD candidate, Department of Obstetrics, University of Western Macedonia, Greece
• ³Cognitive psychologist, Greece
• ⁴PhD Cognitive Psychology, Neuropsychologist of C’ Department Psychiatric Clinic of AHEPA Hospital Thessaloniki, Greece
• ⁵Professor, of C’ Department Psychiatric Clinic of AHEPA Hospital Thessaloniki, Greece
• ⁶Professor, Director of C’ Department Psychiatric Clinic of AHEPA Hospital Thessaloniki, Greece
• ⁷Professor, Directeur du laboratoire CAPS (Cognition, Action, et Plasticité Sensorimotrice), Université de
• Bourgogne, Dijon France, Greece
• ⁸Psychiatrist Consultant, 3rd Psychiatry Department of the Aristotle University of Thessaloniki, University General Hospital of Thessaloniki, AHEPA, Greece

Received: March 24, 2023;   Published: April 11, 2023

*Corresponding author: Theofilidis Antionis, Academic scholarship of the Department of Obstetrics, University of Western Macedonia, and PhD Cognitive Psychology, Neuropsychologist of C’ Department Psychiatric Clinic of AHEPA Hospital Thessaloniki, Greece

DOI: 10.26717/BJSTR.2023.49.007839

Abstract PDF

Schizophrenia patients often present with neurological signs such as left/right confusion, impaired coordination of movements, and motor abnormalities may occur secondary to antipsychotic medications. Neuropsychological tests identify various dysfunctions, such as difficulty in focusing attention, difficulty in abstract thinking or difficulty in changing the response frame, while Neurophysiological tests show slowing down of reaction time, problems with eye tracking, etc. There are no studies in the international literature dealing with the investigation of mental imagery of movement in Greek patients with schizophrenia. Also, the position that patients with schizophrenia - regardless of their symptom profile, age, sex, and chronicity of the disease - have a permanent difficulty in creating and manipulating an internal model of their movement prediction, has not been substantiated enough to date.

Aim: In the present study we examine the function of visual-motor coordination and the time to achieve the goal-directed movement of the dominant hand of patients with schizophrenia.

Method: The sample we used in our research consisted of patients with diagnosed schizophrenia and healthy individuals. Schizophrenia patients belonged to the experimental group and healthy subjects to the control group. The number of examined patients was 39 and the healthy 51. The assessment of the movement and its mental representation was carried out with the real and mental movement of the dominant hand between two square targets located at a distance of 20 cm, on white paper of A4 size.

Conclusions: Visuomotor coordination of a specific hand movement differs between patients with schizophrenia and the normal population. In particular, the means of the goal-directed hand movement achievement time in the actual execution condition and in the mental execution condition of the patients were significantly higher than the corresponding times of the standard population.

Keywords: Schizophrenia; Mental Imagery of Movement

Neuropsychological deficits are recognized as primary symptoms of psychotic disorders, since they are detected even in the early stages, with some of them showing a more significant decline (e.g. executive functions, memory, attention) and others a smaller but significant one (e.g. language, movement perception, psychomotor). A wealth of neuropsychological research over the past decade has contributed to elucidating the nature and significance of cognitive dysfunction in schizophrenia. Today we know that patients with schizophrenia show lower performance in all known neuropsychological tests compared to healthy controls.

Schizophrenic Deficits in Psychomotor Speed

We know that schizophrenia is governed by deficits in psychomotor speed (Ekerholm, et al. [1,2]). Psychomotor speed refers to the time to process a stimulus, prepare the response to that stimulus, and execute the response (Ekerholm, et al. [1]). It has been shown that patients with schizophrenia are disadvantaged compared to healthy individuals in tests of psychomotor speed (Ekerholm, et al. [1-3]). However, this difference does not always reach the significance level (Bozikas, et al. [4]). Of interest is the result of the research by Riley and his colleagues (2000) that deficits in psychomotor speed in schizophrenia appear as early as the first episode, reinforcing the view that this area is greatly damaged by the presence of psychotic symptoms (Townsend, et al. [5]). Sweeney, et al.’s (1991) study found improvement in psychomotor speed in both first-episode schizophrenia patients and patients with a previous history of psychosis (Rund, 1998), which is consistent with the view that neurocognitive deficits in patients with schizophrenia remain relatively stable across the lifespan (Ekerholm, et al. [1,5]).

The Depiction of Movement

Movement imagery is a mental process in which a specific movement is internally simulated without actually performing the movement. According to simulation theory, mental movements are essentially movements that do not take place (Jeannerod, et al. [6,7]). Much research has highlighted the relationship between real movement and its corresponding mental representation as well as common brain areas that are activated during planning and execution in both cases, while both mental and real movement follow the same rules (e .e.g. speed-accuracy, speed-curvature relationship) and maintain the same temporal structure (Decety, et al. [6,8-13]). In addition, mental training improves motor performance (Yaguez, et al. [14-16]) and enhances muscle strength (Yue, et al. [17-19]). Neuroimaging studies have revealed a common activation of specific brain regions during both motor and mental execution of a movement (parietal and prefrontal cortex, primary cortex, basal ganglia and cerebellum) (Jeannerod, et al. [7,20-23]). Research using movement imagery tests is a useful and sensitive method of investigating the unconscious process of representation (Jeannerod, et al. [9]).

Movement imagery has been widely used to investigate the movement system in both healthy and clinical populations. The advantage of investigating kinesthetic imaging is that the internal processes of real movement that involve planning and planning can be studied.

This element is very important for the study of the production and execution of the movement and the related deficits shown by patients of various categories such as patients with psychiatric or neurological syndromes. In these patient cases the ability or inability to produce or perform a movement can indicate whether the relevant brain function has begun to be affected, to what extent it is deficient, and the degree of progressive impairment. Deficits in mental imagery of movement have been assessed in Parkinson’s disease (Dominey, et al. [8,24,25]), prefrontal cortex syndrome (Kagerer, et al. [26]), motor - sensory cortex (Sirigu, et al. [17,27]), and in multiple sclerosis (Heremans et al., [1,28,29]). Investigating the mental imagery of movement also helps psychomotor retardation (Psychomotor retardation -PMR-) which is a central factor in the assessment of clinical and therapeutic effects and can seriously affect the psychosocial functioning of patients. Psychomotor rehabilitation modifies all of the person’s actions, including mobility, mental activity, and speech (Widlocher [30]).

Schizophrenics’ Deficits in Motor Mental Imagery

Kinetic imagery is about being able to create internal/mental images before they are executed. Patients with schizophrenia have difficulty accurately tracking mental images of movement and are unable to produce accurate mental images of their own movements. Research has shown that many of the first-order symptoms of schizophrenia, for example delusions of control in which the patient believes that external forces are controlling their thoughts or actions, can be characterized as deficits in reality monitoring or selfmonitoring of internally generated thoughts. For the schizophrenic patient a self-control deficit, which manifests as an inability to recognize his thoughts or actions as his own, is also auditory hallucinations when these manifest as an inability to recognize inner speech as self-generated. However, patients with schizophrenia are a heterogeneous group of patients with deficits in attention, memory, and executive functions.

Thus, a difficulty to examine the hypothesis that they present difficulties and deficits in motor mental imagery, is the use of neuropsychological tests that usually concern cognitive abilities (such as attention and memory) that in one way or another are presented as deficits in this group of patients. From a neuropsychological point of view the parietal cerebral cortex is an interesting area for research in patients with schizophrenia, since it receives information from multiple sensory inputs, is crucial for the control of directed limb and eye movements and plays an important role in proprioception (somatotopographic recognition). The two brain regions of the parietal cortex are involved in different cognitive functions with the left region involved in speech and movement processes, and the right region involved in processing spatial representations and focusing attention on specific environmental stimuli. Previous research has shown deficits in eye movement control and visual attention in patients with schizophrenia, suggesting deficits in parietal lobe function (Delerue, et. al. [31]).

Frontal and parietal brain structures play an important role not only in the control and execution of goal-directed movements but also in the ability to recognize movements as individual. Neuroimaging studies investigating the recognition of self-generated movements versus other movements have shown increased activation in regions of the parietal and frontal cortex that are critical for the control of goal-directed movements. Interestingly, when hallucinating schizophrenics are asked to discriminate between self-made hand movements and movements of a «foreign» hand, they mistake the foreign movements as their own in 80% of trials (Delerue, et. al. [31]). Also, the conscious control of certain movements for patients with schizophrenia presents particular difficulties (Delerue, et. al. [31]). However, the question that has not been sufficiently answered to date is whether these difficulties are exclusively related to visual feedback of information or are related to a central deficiency in the ability to visually motor coordination for the execution of goaldirected movements of patients with schizophrenia. Motor mental imagery presupposes the creation of an internal mental image of a movement and its mental projection with successive individual images of the intended action (Delerue, et. al. [31]). Tasks requiring motor imagery are a good means of studying goal-directed movement for patients with schizophrenia as well. Typically, when subjects are asked to imagine a movement at a mental level the time required to mentally perform that movement will be the same as the time to actually perform the movement (Delerue, et. al. [31]).

Research Case

Based on the preceding literature review, it became clear that patients with schizophrenia present many cognitive deficits, the most important of which are related to executive functions, memory, and attention. The aim of our own research was to investigate the targetdirected movement ability of the dominant hand of schizophrenics and to compare this ability with healthy individuals in order to clarify the possible difference between the two groups. Our research question has not been answered in any research in the Greek area and we hope that it will be another important element in being able to clarify with the greatest possible precision the deficits in the cognitive functions of schizophrenic patients.

Sample

The sample we used in our research consisted of patients with diagnosed schizophrenia and healthy individuals. Schizophrenia patients belonged to the experimental group and healthy subjects to the control group. The number of patients examined was 39 and the healthy 51. The age range of the patients was from 28 to 64 years with a mean age of 45.3 years. Nine were men and six were women. Seven had completed secondary education, five tertiary and three primary. The group of healthy subjects was matched based on all the above elements with the group of schizophrenics. All participants had normal vision and were right-handed. The patients had previously been treated at the 3rd University Psychiatric Clinic of the ACHEPA Hospital in Thessaloniki and participated in the study during their scheduled visit to the clinic’s outpatient clinics. Exclusion criteria from the study were: depression, neurological disease, severe organic disease, substance use. Also, those patients receiving medication (Haloperidol, Risperidone, Biperidone) which can affect movement were excluded. The patients in the sample were receiving second generation antipsychotics (Second Generation Antipsychotics SGAs - Clozapine up to 900mg/24h, Olanzapine up to 20mg/24h, Aripiprazole up to 30mg/24h, Cariprazine up to 6mg/24h, Amisoulpride, Lourasidone, Ziprasidone). Control group participants were free from any neurological, cognitive and organic impairment and were randomly selected from the community. All participants gave written consent to participate in the study. The research protocol was approved by the Ethics Committee of the Faculty of Medicine of the A.P.Th. and conducted in accordance with the principle set out in the Declaration of Helsinki.

Object of the Study - Research Questions

In the present study, the function of visual-motor coordination and the time to achieve the goal-directed movement of the dominant hand of patients with schizophrenia was investigated. The questions to be answered were:

• What differences are there in the time to achieve the specific goal-directed hand movement between patients and the typical population?

• Are there differences in the time to achieve the specific goaldirected hand movement in the actual execution condition and in the mental execution condition of the movement between patients and standard population?

• Does visuomotor coordination and the time to achieve the specific hand movement differ in patients with schizophrenia according to their age, gender and educational level?

The Hypotheses of the Research

Hypothesis 1: The visuomotor coordination of the specific hand movement between patients and the typical population will show large discrepancies in reaching speed and target accuracy.

Hypothesis 2: Motor imagery will be deficient in patients with schizophrenia. Both the simplification of the movement task and the repetitions (learning) of the movement will not affect the time of achievement and its accuracy.

Hypothesis 3: The time to achieve the specific goal-directed movement of the dominant hand of patients with schizophrenia will differ according to real vs mental movement.

Data Collection Method - Experimental Protocol

Data collection took place in a quiet office. In order to limit the influence of circadian rhythms on motor and mental performance (Gueugneau, et al. [32,33]), all experiments were performed in the morning (between 9 and 11 AM). Participants were seated comfortably in an adjustable chair in front of a table whose edge was aligned with their chest at the level of the diaphragm. In the middle of the table, the pieces of paper (A4 format) were placed at a distance of 20 cm from the chest of the participants. Three targets (black squares) and a starting point (abference) were printed on each sheet. We used four different target sizes (0.5 cm, 1 cm, 1.5 cm, 2 cm) and the distances between the targets were (15 cm) to model the test according to Fitts’ law (Fitts [34]). Participants had to perform (actual movement) or imagine themselves performing the movement (mental movement) between the targets as accurately and as quickly as possible (i.e., we adapted Fitts’ law motor paradigm, see also Maruff, et al. [13] and Gueugneau, et al. while the presentation of the targets was randomized to exclude the learning process. After the instructions were briefed and explained, participants were free to initiate the real or mental movements when they felt ready. /s. Each real or mental movement was performed eight times between targets for each trial (0.5 cm, 1 cm, 1.5 cm, 2 cm). For mental movements, participants were asked to place their pencil over the original target (starting point), hold it still throughout the trial, and feel that they are performing the task (motor) as they would in reality. of a movement at the mental level is a necessary condition for the motor system to be involved (Stinear, et al. [16,35-38]). For each actual test, we measured the reaching time as well as the accuracy of the movements.

Participants were told that if they missed more than two targets during a trial, it would be canceled (invalid trial) and repeated at the end of the session. No tests had to be repeated. Each test was performed on separate sheets. The main experiment was preceded by a series of practice trials, which allowed participants to familiarize themselves with the task. The targets used in practice were of different sizes (3 cm and 2.5 cm) than those used in the experiment. After this practice phase, all participants verbally reported that they were able to generate motor imagery after having practiced 9–10 times. During the experiment, all participants performed eight real and eight mental trials for each different target dimension (64 trials per participant) in random order. When participants completed eight consecutive trials, they rested for ∼1 min to avoid physical and mental fatigue. After achieving the experimental protocol, none of the participants reported mental or physical fatigue and any difficulty in internally simulating the movements (Figure 1).

Figure 1

Regarding gender, the sample consists of 42 men (46.7%) and 48 women (53.3%). Regarding the disease, 51 normal (56.7%) and 39 patients with schizophrenia (43.3%) participated. Of all the participants in the research, 2 people had completed primary education (2.2%), 12 people (13.3%) high school, 23 people high school (25.6%) 37 people (41.1%) the university while 16 people had also completed postgraduate education (17.8%). 27 people (30%) were aged 19 to 29, 19 people (21%) were aged 30 to 39, 12 people (13%) were aged 40 to 49, 23 people (26%) were aged 50 to 59 and 9 people (10%) belonged to the age group of 60 to seventy years.

Control of Performance Averages

We calculated the averages of the time to achieve the specific goaldirected real and mental movement to targets of different dimensions (square targets with dimension: 0.5X0.5 cm, 1X1 cm, 1.5X1.5 cm, and 2X2 cm). Testing the means with the t-test for independent samples showed that reaching time was significantly associated with schizophrenia in all cases (real and mental movement and different goal dimensions). Patients with schizophrenia perform this movement in a longer period of time than the normal population (Table 1).

Table 1:

Τhe execution time of both real and mental movement in all subtests (target size) is longer for patients with schizophrenia compared to the corresponding times of normal subjects. As the dimension of the target increases, the time to achieve the movement decreases for both conditions (real and mental movement) and for both groups (normal population - patients with schizophrenia). Schizophrenia patients show larger differences between the mean execution time between the actual and mental execution of the movement than the corresponding differences of the normal population. Τhe difference in the averages of the time to achieve the movement is smaller between the two groups (normal - schizophrenic) for the condition of mental execution of the specific movement.

1. Ekerholm M, Waltersson S F, Fagerberg T, Söderman E, Terenius L, et al. (2012) Neurocognitive function in long-term treated schizophrenia: a five-year follow-up study. Psychiatry research 200(2): 144-152.
2. Schretlen D J, Cascella N G, Meyer S M, Kingery L R, Testa S M, et al. (2007) Neuropsychological functioning in bipolar disorder and schizophrenia. Biological psychiatry 62(2): 179-186.
3. McIntosh A M, Job D E, Moorhead T W J, Harrison L K, Lawrie S M, et al. (2005) White matter density in patients with schizophrenia, bipolar disorder and their unaffected relatives. Biological psychiatry 58(3): 254-257.
4. Bozikas V P, Kosmidis M H, Kiosseoglou G, Karavatos A (2006) Neuropsychological profile of cognitively impaired patients with schizophrenia. Comprehensive psychiatry 47(2): 136-143.
5. Townsend L A, Norman R M (2004) Course of cognitive functioning in first episode schizophrenia spectrum disorders. Expert Review of Neurotherapeutics 4(1): 61-68.
6. Decety J, Jeannerod M (1995) Mentally simulated movements in virtual reality: does Fitts's law hold in motor imagery? Behav Brain Res 72(1-2): 127-134.
7. Jeannerod M (2001) Neural simulation of action: a unifying mechanism for motor cognition. Neuroimage 14: S103-109.
8. Dominey P, Decety J, Broussolle E, Chazot G, Jeannerod M (1995) Motor imagery of a lateralized sequential task is asymmetrically slowed in hemi-Parkinson's patients. Neuropsychologia 33(6): 727-741.
9. Jeannerod M, Decety J (1995) Mental motor imagery: a window into the representational stages of action. Curr Opin Neurobiol 5(6): 727-732.
10. Bakker M, De Lange FP, Stevens JA, Toni I, Bloem BR (2007) Motor imagery of gait: a quantitative approach. Experimental brain research. Experimentelle Hirnforschung. Experimentation cerebrale 179(3): 497-504.
11. Gueugneau N, Crognier L, Papaxanthis C (2008) The influence of eye movements on the temporal features of executed and imagined arm movements. Brain Res 1187: 95-102.
12. Papaxanthis C, Paizis C, White O, Pozzo T, Stucchi N (2012) The Relation between Geometry and Time in Mental Actions. PloS one 7: e51191.
13. Maruff P, Wilson PH, De Fazio J, Cerritelli B, Hedt A, et al. (1999) Asymmetries between dominant and non-dominant hands in real and imagined motor task performance. Neuropsychologia 37(3): 379-384.
14. Yaguez L, Nagel D, Hoffman H, Canavan AG, Wist E, et al. (1998) A mental route to motor learning: improving trajectorial kinematics through imagery training. Behav Brain Res 90(1): 95-106.
15. Gentili R, Papaxanthis C, Pozzo T (2006) Improvement and generalization of arm motor performance through motor imagery practice. Neuroscience 137(3): 761-772.
16. Gueugneau N, Bove M, Avanzino L, Jacquin A, Pozzo T, et al. (2013) Interhemispheric inhibition during mental actions of different complexity. PLoS One 8: e56973.
17. Yue G, Cole KJ (1992) Strength increases from the motor program: comparison of training with maximal voluntary and imagined muscle contractions. J Neurophysiol 67(5): 1114-1123.
18. Ranganathan VK, Siemionow V, Liu JZ, Sahgal V, Yue GH (2004) From mental power to muscle power--gaining strength by using the mind. Neuropsychologia 42(7): 944-956.
19. Zijdewind I, Toering ST, Bessem B, Van Der Laan O, Diercks RL (2003) Effects of imagery motor training on torque production of ankle plantar flexor muscles. Muscle Nerve 28(2): 168-173.
20. Guillot A, Collet C (2005) Contribution from neurophysiological and psychological methods to the study of motor imagery. Brain Res Rev 50(2): 387-397.
21. Szameitat AJ, Shen S, Sterr A (2007) Motor imagery of complex everyday movements An fMRI study. NeuroImage 34(2): 702-713.
22. Munzert J, Lorey B, Zentgraf K (2009) Cognitive motor processes: the role of motor imagery in the study of motor representations. Brain Res Rev 60(2): 306-326.
23. Hetu S, Gregoire M, Saimpont A, Coll MP, Eugene F, et al. (2013) The neural network of motor imagery: an ALE meta-analysis. Neurosci Biobehav Rev 37(5): 930-949.
24. Helmich RC, De Lange FP, Bloem BR, Toni I (2007) Cerebral compensation during motor imagery in Parkinson's disease. Neuropsychologia 45: 2201-2215.
25. Heremans E, Feys P, Nieuwboer A, Vercruysse S, Vandenberghe W, et al. (2011) Motor imagery ability in patients with early- and mid-stage Parkinson disease. Neurorehabil Neural Repair 25(2): 168-177.
26. Kagerer FA, Bracha V, Wunderlich DA, Stelmach GE, Bloedel JR (1998) Ataxia reflected in the simulated movements of patients with cerebellar lesions. Exp Brain Res 121(2): 125-134.
27. Sirigu A, Duhamel JR, Cohen L, Pillon B, Dubois B, et al. (1996) The mental representation of hand movements after parietal cortex damage. Science 273: 1564-1568.
28. Danckert J, Ferber S, Doherty T, Steinmetz H, Nicolle D, et al. (2004) Selective, non-lateralized impairment of motor imagery following right parietal damage. Neurocase 8(3): 194-204.
29. Tacchino A, Bove M, Pedulla L, Battaglia MA, Papaxanthis C, et al. (2013) Imagined actions in multiple sclerosis patients: evidence of decline in motor cognitive prediction. Exp Brain Res 229: 561-570.
30. Widlocher DJ (1983) Psychomotor retardation: clinical, theoretical, and psychometric aspects. Psychiatr Clin North Am 6(1): 27-40.
31. Delerue C, Boucart M (2013) Visual exploration and action processing in schizophrenia. Cogn Neuropsychiatry 18(3): 153-167.
32. Gueugneau N, Mauvieux B, Papaxanthis C (2009) Circadian modulation of mentally simulated motor actions: implications for the potential use of motor imagery in rehabilitation. Neurorehabilitation and neural repair 23: 237-245.
33. Gueugneau N, Papaxanthis C (2010) Time-of-day effects on the internal simulation of motor actions: psychophysical evidence from pointing movements with the dominant and non-dominant arm. Chronobiol Int 27(3): 620-639.
34. Fitts PM (1954) The information capacity of the human motor system in controlling the amplitude of movement. J Exp Psychol 47(6): 381-391.
35. Stinear CM, Byblow WD, Steyvers M, Levin O, Swinnen SP (2006) Kinesthetic, but not visual, motor imagery modulates corticomotor excitability. Exp Brain Res 168(1-2): 157-164.
36. Avanzino L, Giannini A, Tacchino A, Pelosin E, Ruggeri P, et al. (2009) Motor imagery influences the execution of repetitive finger opposition movements. Neuroscience letters 466(1): 11-15.
37. Heremans E, D'hooge A M, De Bondt S, Helsen W, Feys P (2012) The relation between cognitive and motor dysfunction and motor imagery ability in patients with multiple sclerosis. Mult Scler 18: 1303-1309.
38. Rund B R (1998) A review of longitudinal studies of cognitive function in schizophrenia patients Schizophrenia. Bulletin 24(3): 425.