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Zhang S, Wilmut K, Zhang K, Wang S. Age-related changes in motor planning for prior intentions: a mouse tracking reach-to-click task. Front Psychol 2024; 15:1323798. [PMID: 38562237 PMCID: PMC10983849 DOI: 10.3389/fpsyg.2024.1323798] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2023] [Accepted: 03/08/2024] [Indexed: 04/04/2024] Open
Abstract
When we complete sequential movements with different intentions, we plan our movements and adjust ahead. Such a phenomenon is called anticipatory planning for prior intentions and is known to decline with age. In daily life activities, we often need to consider and plan for multiple demands in one movement sequence. However, previous studies only considered one dimension of prior intentions, either different types of onward actions or different precisions of fit or placement. Therefore, in this study, we investigated anticipatory planning for both extrinsic (movement direction) and intrinsic (fit precision) target-related properties in a computer-based movement task and analyzed the computer cursor movement kinematics of both young and older adults. We found that older people consider and adjust for different properties step-by-step, with movement direction being considered as a prior intention during reach movement and fit precision as a motor constraint during drop movement. The age-related changes in the completion of onward actions are constrained by one's general cognitive ability, sensorimotor performance and effective motor planning for prior intentions. Age-related decline in motor planning can manifest as counterproductive movement profiles, resulting in suboptimal performance of intended actions.
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Affiliation(s)
- Shujing Zhang
- Global Health Research Center, Duke Kunshan University, Kunshan, China
- Division of Natural and Applied Sciences, Duke Kunshan University, Kunshan, China
| | - Kate Wilmut
- Department of Psychology, Health and Professional Development, Oxford Brookes University, Oxford, United Kingdom
| | - Kaiyu Zhang
- Department of Geriatrics, The First People's Hospital of Kunshan, Kunshan, China
| | - Shan Wang
- Global Health Research Center, Duke Kunshan University, Kunshan, China
- Division of Natural and Applied Sciences, Duke Kunshan University, Kunshan, China
- Department of Psychology, Health and Professional Development, Oxford Brookes University, Oxford, United Kingdom
- Department of Psychology, University of Bath, Bath, United Kingdom
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Hulstijn W, Cornelis C, Morsel A, Timmers M, Morrens M, Sabbe BGC. Motor learning and performance in schizophrenia and aging: two different patterns of decline. Exp Brain Res 2024:10.1007/s00221-024-06797-9. [PMID: 38459999 DOI: 10.1007/s00221-024-06797-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2023] [Accepted: 01/27/2024] [Indexed: 03/11/2024]
Abstract
Psychomotor slowing has consistently been observed in schizophrenia, however research on motor learning in schizophrenia is limited. Additionally, motor learning in schizophrenia has never been compared with the waning of motor learning abilities in the elderly. Therefore, in an extensive study, 30 individuals with schizophrenia, 30 healthy age-matched controls and 30 elderly participants were compared on sensorimotor learning tasks including sequence learning and adaptation (both explicit and implicit), as well as tracking and aiming. This paper presents new findings on an explicit motor sequence learning task, an explicit verbal learning task and a simple aiming task and summarizes all previously published findings of this large investigation. Individuals with schizophrenia and elderly had slower Movement Time (MT)s compared with controls in all tasks, however both groups improved over time. Elderly participants learned slower on tracking and explicit sequence learning while individuals with schizophrenia adapted slower and to a lesser extent to movement perturbations in adaptation tasks and performed less well on cognitive tests including the verbal learning task. Results suggest that motor slowing is present in schizophrenia and the elderly, however both groups show significant but different motor skill learning. Cognitive deficits seem to interfere with motor learning and performance in schizophrenia while task complexity and decreased movement precision interferes with motor learning in the elderly, reflecting different underlying patterns of decline in these conditions. In addition, evidence for motor slowing together with impaired implicit adaptation supports the influence of cerebellum and the cerebello-thalamo-cortical-cerebellar (CTCC) circuits in schizophrenia, important for further understanding the pathophysiology of the disorder.
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Affiliation(s)
- Wouter Hulstijn
- Collaborative Antwerp Psychiatric Research Institute, University of Antwerp, Antwerp, Belgium.
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands.
| | - Claudia Cornelis
- Collaborative Antwerp Psychiatric Research Institute, University of Antwerp, Antwerp, Belgium
- Psychiatric Center Multiversum, Mortsel, Belgium
| | - Anne Morsel
- Collaborative Antwerp Psychiatric Research Institute, University of Antwerp, Antwerp, Belgium
| | - Maarten Timmers
- Janssen Pharmaceutica NV, Janssen Research and Development, Beerse, Belgium
| | - Manuel Morrens
- Collaborative Antwerp Psychiatric Research Institute, University of Antwerp, Antwerp, Belgium
- University Psychiatric Center Duffel, Duffel, Belgium
| | - Bernard G C Sabbe
- Collaborative Antwerp Psychiatric Research Institute, University of Antwerp, Antwerp, Belgium
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Marini F, Gordon-Murer C, Sera M, Tanha T, Licudo F, Zenzeri J, Hughes CM. Age-related Declines in Sensorimotor Proficiency are Specific to the Tested Motor Skill Component. IEEE Int Conf Rehabil Robot 2019; 2019:654-659. [PMID: 31374705 DOI: 10.1109/icorr.2019.8779560] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
This study utilized a 3-degree of freedom robotic device (Wristbot) to examine wrist proprioception and eye-hand coordination in a cross-sectional sample of sixty-three young adults (19-29 years), 20 older young adults (30-49), and 17 older adults (50 years and older). Results indicated differences in the emergence of age-related declines in sensorimotor functioning depending on the tested motor skill component. While young adults exhibited smaller matching error and lower variability compared to older young adults and older adults on the proprioception task, we observed lower times-on-target and higher Linearity indices for participants older than 50 years of age compared to both young adults and older young adults. The present results provide necessary quantitative information on sensorimotor function in adulthood, and have implications for the early diagnosis and effective management of sensorimotor dysfunction in clinical settings using a commercially available robotic device.
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Implicit motor sequence learning in schizophrenia and in old age: reduced performance only in the third session. Exp Brain Res 2016; 234:3531-3542. [PMID: 27507227 DOI: 10.1007/s00221-016-4751-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2016] [Accepted: 08/01/2016] [Indexed: 10/21/2022]
Abstract
Although there still is conflicting evidence whether schizophrenia is a neurodegenerative disease, cognitive changes in schizophrenia resemble those observed during normal aging. In contrast to extensively demonstrated deficits in explicit learning, it remains unclear whether implicit sequence learning is impaired in schizophrenia and normal aging. Implicit sequence learning was investigated using a computerized drawing task, the 'implicit pattern learning task (IPLT)' in 30 stable patients with schizophrenia, 30 age-matched controls and 30 elderly subjects on two consecutive days and after 1 week (sessions 1, 2 and 3). Fixed sequence trials were intermixed with random trials, and sequence learning was assessed by subtraction of the response time in fixed sequence trials from random trials. Separate analyses of response times and movement accuracy (i.e., directional errors) were performed. Explicit sequence knowledge was assessed using three different awareness tasks. All groups learned equally during sessions 1 and 2. In session 3, control subjects showed significantly larger learning scores than patients with schizophrenia (p = .012) and elderly subjects (p = .021). This group difference is mainly expressed in movement time and directional errors. Patients with schizophrenia demonstrated less subjective sequence awareness, and both patients with schizophrenia and elderly subjects had less explicit sequence recall. Explicit recall was positively correlated with task performance in all groups. After a short 24 h interval, all subjects showed similar improvements in implicit sequence learning. However, no benefit of prior task exposure 1 week later was observed in patients with schizophrenia and elderly subjects compared to controls. As patients with schizophrenia and elderly both display less explicit sequence recall, the control group superiority after 1 week could be explained by an explicit learning component. The few patients with schizophrenia and elderly subjects who had some sequence recall could possibly utilize this explicit knowledge to improve their task performance but did this by distinct mechanisms.
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Adini Y, Bonneh YS, Komm S, Deutsch L, Israeli D. The time course and characteristics of procedural learning in schizophrenia patients and healthy individuals. Front Hum Neurosci 2015; 9:475. [PMID: 26379536 PMCID: PMC4555022 DOI: 10.3389/fnhum.2015.00475] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2014] [Accepted: 08/14/2015] [Indexed: 11/13/2022] Open
Abstract
Patients with schizophrenia have deficits in some types of procedural learning. Several mechanisms contribute to this learning in healthy individuals, including statistical and sequence-learning. To find preserved and impaired learning mechanisms in schizophrenia, we studied the time course and characteristics of implicitly introduced sequence-learning (SRT task) in 15 schizophrenia patients (seven mild and eight severe) and nine healthy controls, in short sessions over multiple days (5-22). The data show speed gains of similar magnitude for all groups, but the groups differed in overall speed and in the characteristics of the learning. By analyzing the data according to its spatial-position and temporal-order components, we provide evidence for two types of learning that could differentiate the groups: while the learning of the slower, severe group was dominated by statistical learning, the control group moved from a fast learning phase of statistical-related performance to subsequence learning (chunking). Our findings oppose the naïve assumption that a similar gain of speed reflects a similar learning process; they indicate that the slower performance reflects the activation of a different motor plan than does the faster performance; and demonstrate that statistical learning and subsequence learning are two successive stages in implicit sequence learning, with chunks inferred from prior statistical computations. Our results indicate that statistical learning is intact in patients with schizophrenia, but is slower to develop in the severe patients. We suggest that this slow learning rate and the associated slow performance contribute to their deficit in developing sequence-specific learning by setting a temporal constraint on developing higher order associations.
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Affiliation(s)
- Yael Adini
- The Institute for Vision ResearchKiron, Israel
| | - Yoram S. Bonneh
- Department of Human Biology, University of HaifaHaifa, Israel
- Department of Optometry, Mina and Everard Goodman Faculty of Life Sciences, Bar-Ilan UniversityRamat-Gan, Israel
| | - Seva Komm
- Day Care Unit and the Laboratory of Imaging and Brain Stimulation, Kfar Shaul hospital, Jerusalem Center for Mental HealthJerusalem, Israel
| | - Lisa Deutsch
- Biostats Statistical Consulting LtdModiin, Israel
| | - David Israeli
- Jerusalem Center for Mental Health, Hebrew UniversityJerusalem, Israel
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Walther S, Morrens M. Editorial: Psychomotor Symptomatology in Psychiatric Illnesses. Front Psychiatry 2015; 6:81. [PMID: 26082727 PMCID: PMC4450574 DOI: 10.3389/fpsyt.2015.00081] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/08/2015] [Accepted: 05/17/2015] [Indexed: 12/19/2022] Open
Affiliation(s)
- Sebastian Walther
- University Hospital of Psychiatry, University of Bern , Bern , Switzerland
| | - Manuel Morrens
- Collaborative Antwerp Psychiatric Research Institute, University of Antwerp , Antwerp , Belgium
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Cornelis C, De Picker LJ, Hulstijn W, Dumont G, Timmers M, Janssens L, Sabbe BGC, Morrens M. Preserved Learning during the Symbol-Digit Substitution Test in Patients with Schizophrenia, Age-Matched Controls, and Elderly. Front Psychiatry 2014; 5:189. [PMID: 25610403 PMCID: PMC4285106 DOI: 10.3389/fpsyt.2014.00189] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/30/2014] [Accepted: 12/12/2014] [Indexed: 11/28/2022] Open
Abstract
OBJECTIVE Speed of processing, one of the main cognitive deficits in schizophrenia is most frequently measured with a digit-symbol-coding test. Performance on this test is additionally affected by writing speed and the rate at which symbol-digit relationships are learned, two factors that may be impaired in schizophrenia. This study aims to investigate the effects of sensorimotor speed, short-term learning, and long-term learning on task performance in schizophrenia. In addition, the study aims to explore differences in learning effects between patients with schizophrenia and elderly individuals. METHODS Patients with schizophrenia (N = 30) were compared with age-matched healthy controls (N = 30) and healthy elderly volunteers (N = 30) during the Symbol-Digit Substitution Test (SDST). The task was administered on a digitizing tablet, allowing precise measurements of the time taken to write each digit (writing time) and the time to decode symbols into their corresponding digits (matching time). The SDST was administered on three separate days (day 1, day 2, day 7). Symbol-digit repetitions during the task represented short-term learning and repeating the task on different days represented long-term learning. RESULTS The repetition of the same symbol-digit combinations within one test and the repetition of the test over days resulted in significant decreases in matching time. Interestingly, these short-term and long-term learning effects were about equal among the three groups. Individual participants showed a large variation in the rate of short-term learning. In general, patients with schizophrenia had the longest matching time whereas the elderly had the longest writing time. Writing time remained the same over repeated testing. CONCLUSION The rate of learning and sensorimotor speed was found to have a substantial influence on the SDST score. However, a large individual variation in learning rate should be taken into account in the interpretation of task scores for processing speed. Equal learning rates among the three groups suggest that unintentional learning in schizophrenia and in the elderly is preserved. These findings are important for the design of rehabilitation programs for schizophrenia.
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Affiliation(s)
- Claudia Cornelis
- Collaborative Antwerp Psychiatric Research Institute, University of Antwerp , Antwerp , Belgium ; University Psychiatric Center St. Norbertushuis , Duffel , Belgium
| | - Livia J De Picker
- Collaborative Antwerp Psychiatric Research Institute, University of Antwerp , Antwerp , Belgium ; University Psychiatric Center St. Norbertushuis , Duffel , Belgium
| | - Wouter Hulstijn
- Collaborative Antwerp Psychiatric Research Institute, University of Antwerp , Antwerp , Belgium ; Donders Institute for Brain, Cognition and Behaviour, Radboud University Nijmegen , Nijmegen , Netherlands
| | - Glenn Dumont
- Collaborative Antwerp Psychiatric Research Institute, University of Antwerp , Antwerp , Belgium ; University Psychiatric Center St. Norbertushuis , Duffel , Belgium
| | - Maarten Timmers
- Janssen Research and Development, Janssen Pharmaceutica N.V. , Beerse , Belgium
| | - Luc Janssens
- Janssen Research and Development, Janssen Pharmaceutica N.V. , Beerse , Belgium
| | - Bernard G C Sabbe
- Collaborative Antwerp Psychiatric Research Institute, University of Antwerp , Antwerp , Belgium ; University Psychiatric Center St. Norbertushuis , Duffel , Belgium
| | - Manuel Morrens
- Collaborative Antwerp Psychiatric Research Institute, University of Antwerp , Antwerp , Belgium ; Psychiatric Hospital Broeders Alexianen , Boechout , Belgium
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