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Swainson A, Woodward KM, Boca M, Rolinski M, Collard P, Cerminara NL, Apps R, Whone AL, Gilchrist ID. Slower rates of prism adaptation but intact aftereffects in patients with early to mid-stage Parkinson's disease. Neuropsychologia 2023; 189:108681. [PMID: 37709193 DOI: 10.1016/j.neuropsychologia.2023.108681] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2023] [Revised: 09/08/2023] [Accepted: 09/11/2023] [Indexed: 09/16/2023]
Abstract
There is currently mixed evidence on the effect of Parkinson's disease on motor adaptation. Some studies report that patients display adaptation comparable to age-matched controls, while others report a complete inability to adapt to novel sensory perturbations. Here, early to mid-stage Parkinson's patients were recruited to perform a prism adaptation task. When compared to controls, patients showed slower rates of initial adaptation but intact aftereffects. These results support the suggestion that patients with early to mid-stage Parkinson's disease display intact adaptation driven by sensory prediction errors, as shown by the intact aftereffect. But impaired facilitation of performance through cognitive strategies informed by task error, as shown by the impaired initial adaptation. These results support recent studies that suggest that patients with Parkinson's disease retain the ability to perform visuomotor adaptation, but display altered use of cognitive strategies to aid performance and generalises these previous findings to the classical prism adaptation task.
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Affiliation(s)
- Alex Swainson
- University of Bristol, School of Physiology, Pharmacology and Neuroscience, Bristol, BS8 1TD, United Kingdom.
| | - Kathryn M Woodward
- Bristol Medical School, University of Bristol, Bristol, BS8 1UD, United Kingdom
| | - Mihaela Boca
- Bristol Brain Centre, Southmead Hospital, Bristol, BS10 5FN, United Kingdom
| | - Michal Rolinski
- Bristol Brain Centre, Southmead Hospital, Bristol, BS10 5FN, United Kingdom
| | - Philip Collard
- University of Bristol, School of Psychological Science, Bristol, BS8 1TU, United Kingdom
| | - Nadia L Cerminara
- University of Bristol, School of Physiology, Pharmacology and Neuroscience, Bristol, BS8 1TD, United Kingdom
| | - Richard Apps
- University of Bristol, School of Physiology, Pharmacology and Neuroscience, Bristol, BS8 1TD, United Kingdom
| | - Alan L Whone
- Bristol Brain Centre, Southmead Hospital, Bristol, BS10 5FN, United Kingdom
| | - Iain D Gilchrist
- University of Bristol, School of Psychological Science, Bristol, BS8 1TU, United Kingdom
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2
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Shitova AD, Zharikova TS, Kovaleva ON, Luchina AM, Aktemirov AS, Olsufieva AV, Sinelnikov MY, Pontes-Silva A, Zharikov YO. Tourette syndrome and obsessive-compulsive disorder: A comprehensive review of structural alterations and neurological mechanisms. Behav Brain Res 2023; 453:114606. [PMID: 37524204 DOI: 10.1016/j.bbr.2023.114606] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2023] [Revised: 07/28/2023] [Accepted: 07/29/2023] [Indexed: 08/02/2023]
Abstract
Currently, it is possible to study the pathogenesis of Tourette's syndrome (TS) in more detail, due to more advanced methods of neuroimaging. However, medical and surgical treatment options are limited by a lack of understanding of the nature of the disorder and its relationship to some psychiatric disorders, the most common of which is obsessive-compulsive disorder (OCD). It is believed that the origin of chronic tic disorders is based on an imbalance of excitatory and inhibitory influences in the Cortico-Striato-Thalamo-Cortical circuits (CSTC). The main CSTCs involved in the pathological process have been identified by studying structural and neurotransmitter disturbances in the interaction between the cortex and the basal ganglia. A neurotransmitter deficiency in CSTC has been demonstrated by immunohistochemical and genetic methods, but it is still not known whether it arises as a consequence of genetically determined disturbances of neuronal migration during ontogenesis or as a consequence of altered production of proteins involved in neurotransmitter production. The aim of this review is to describe current ideas about the comorbidity of TS with OCD, the involvement of CSTC in the pathogenesis of both disorders and the background of structural and neurotransmitter changes in CSTC that may serve as targets for drug and neuromodulatory treatments.
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Affiliation(s)
| | - Tatyana S Zharikova
- Department of Human Anatomy and Histology, I.M. Sechenov First Moscow State Medical University (Sechenov University), Moscow 125009, Russia
| | - Olga N Kovaleva
- Department of Human Anatomy and Histology, I.M. Sechenov First Moscow State Medical University (Sechenov University), Moscow 125009, Russia
| | - Anastasia M Luchina
- Department of Human Anatomy and Histology, I.M. Sechenov First Moscow State Medical University (Sechenov University), Moscow 125009, Russia
| | - Arthur S Aktemirov
- Department of Human Anatomy and Histology, I.M. Sechenov First Moscow State Medical University (Sechenov University), Moscow 125009, Russia
| | - Anna V Olsufieva
- Moscow University for Industry and Finance "Synergy", Moscow 125315, Russia
| | - Mikhail Y Sinelnikov
- Department of Oncology and Radiotherapy, I.M. Sechenov First Moscow State Medical University (Sechenov University), Moscow 119048, Russia; Russian National Centre of Surgery, Avtsyn Research Institute of Human Morphology, Moscow 117418, Russia
| | - André Pontes-Silva
- Postgraduate Program in Physical Therapy, Department of Physical Therapy, Universidade Federal de São Carlos, São Carlos, SP, Brazil.
| | - Yury O Zharikov
- Department of Human Anatomy and Histology, I.M. Sechenov First Moscow State Medical University (Sechenov University), Moscow 125009, Russia
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Lin YT, Chen YC, Chang GC, Hwang IS. Failure to improve task performance after visuomotor training with error reduction feedback for young adults. Front Physiol 2023; 14:1066325. [PMID: 36969593 PMCID: PMC10030953 DOI: 10.3389/fphys.2023.1066325] [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: 10/14/2022] [Accepted: 02/22/2023] [Indexed: 03/29/2023] Open
Abstract
Visual feedback that reinforces accurate movements may motivate skill acquisition by promoting self-confidence. This study investigated neuromuscular adaptations to visuomotor training with visual feedback with virtual error reduction. Twenty-eight young adults (24.6 ± 1.6 years) were assigned to error reduction (ER) (n = 14) and control (n = 14) groups to train on a bi-rhythmic force task. The ER group received visual feedback and the displayed errors were 50% of the real errors in size. The control group was trained with visual feedback with no reduction in errors. Training-related differences in task accuracy, force behaviors, and motor unit discharge were contrasted between the two groups. The tracking error of the control group progressively declined, whereas the tracking error of the ER group was not evidently reduced in the practice sessions. In the post-test, only the control group exhibited significant task improvements with smaller error size (p = .015) and force enhancement at the target frequencies (p = .001). The motor unit discharge of the control group was training-modulated, as indicated by a reduction of the mean inter-spike interval (p = .018) and smaller low-frequency discharge fluctuations (p = .017) with enhanced firing at the target frequencies of the force task (p = .002). In contrast, the ER group showed no training-related modulation of motor unit behaviors. In conclusion, for young adults, ER feedback does not induce neuromuscular adaptations to the trained visuomotor task, which is conceptually attributable to intrinsic error dead-zones.
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Affiliation(s)
- Yen-Ting Lin
- Department of Ball Sport, National Taiwan University of Sport, Taichung City, Taiwan
| | - Yi-Ching Chen
- Department of Physical Therapy, College of Medical Science and Technology, Chung Shan Medical University, Taichung City, Taiwan
- Physical Therapy Room, Chung Shan Medical University Hospital, Taichung City, Taiwan
| | - Gwo-Ching Chang
- Department of Information Engineering, I-Shou University, Kaohsiung City, Taiwan
| | - Ing-Shiou Hwang
- Department of Physical Therapy, College of Medicine, National Cheng Kung University, Tainan City, Taiwan
- Institute of Allied Health Sciences, College of Medicine, National Cheng Kung University, Tainan City, Taiwan
- *Correspondence: Ing-Shiou Hwang,
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Sanjari Moghaddam H, Mobarak Abadi M, Dolatshahi M, Bayani Ershadi S, Abbasi-Feijani F, Rezaei S, Cattarinussi G, Aarabi MH. Effects of Prenatal Methamphetamine Exposure on the Developing Human Brain: A Systematic Review of Neuroimaging Studies. ACS Chem Neurosci 2021; 12:2729-2748. [PMID: 34297546 PMCID: PMC8763371 DOI: 10.1021/acschemneuro.1c00213] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022] Open
Abstract
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Methamphetamine
(MA) can cross the placenta in pregnant women and
cause placental abruption and developmental alterations in offspring.
Previous studies have found prenatal MA exposure effects on the social
and cognitive performance of children. Recent studies reported some
alterations in structural and functional magnetic resonance imaging
(MRI) of prenatal MA-exposed offspring. In this study, we aimed to
investigate the effect of prenatal MA exposure on brain development
using recently published structural, metabolic, and functional MRI
studies. According to the Preferred Reporting Items for Systematic
Reviews and Meta-Analyses (PRISMA) guidelines, we searched PubMed
and SCOPUS databases for articles that used each brain imaging modality
in prenatal MA-exposed children. Seventeen studies were included in
this study. We investigated brain imaging alterations using 17 articles
with four different modalities, including structural MRI, diffusion
tensor imaging (DTI), magnetic resonance spectroscopy (MRS), and functional
MRI (fMRI). The participants’ age range was from infancy to
15 years. Our findings demonstrated that prenatal MA exposure is associated
with macrostructural, microstructural, metabolic, and functional deficits
in both cortical and subcortical areas. However, the most affected
regions were the striatum, frontal lobe, thalamus and the limbic system,
and white matter (WM) fibers connecting these regions. The findings
from our study might have valuable implications for targeted treatment
of neurocognitive and behavioral deficits in children with prenatal
MA exposure. Even so, our results should be interpreted cautiously
due to the heterogeneity of the included studies in terms of study
populations and methods of analysis.
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Affiliation(s)
| | | | - Mahsa Dolatshahi
- Faculty of Medicine, Tehran University of Medical Sciences, Tehran, Iran
| | | | | | - Sahar Rezaei
- Faculty of Medicine, Tehran University of Medical Sciences, Tehran, Iran
| | - Giulia Cattarinussi
- Department of Neuroscience and Padova Neuroscience Center (PNC), University of Padova, 35131 Padova, Italy
| | - Mohammad Hadi Aarabi
- Department of Neuroscience and Padova Neuroscience Center (PNC), University of Padova, 35131 Padova, Italy
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Pimentel JM, Moioli RC, de Araujo MFP, Ranieri CM, Romero RAF, Broz F, Vargas PA. Neuro4PD: An Initial Neurorobotics Model of Parkinson's Disease. Front Neurorobot 2021; 15:640449. [PMID: 34276331 PMCID: PMC8283825 DOI: 10.3389/fnbot.2021.640449] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2020] [Accepted: 05/31/2021] [Indexed: 02/05/2023] Open
Abstract
In this work, we present the first steps toward the creation of a new neurorobotics model of Parkinson's Disease (PD) that embeds, for the first time in a real robot, a well-established computational model of PD. PD mostly affects the modulation of movement in humans. The number of people suffering from this neurodegenerative disease is set to double in the next 15 years and there is still no cure. With the new model we were capable to further explore the dynamics of the disease using a humanoid robot. Results show that the embedded model under both conditions, healthy and parkinsonian, was capable of performing a simple behavioural task with different levels of motor disturbance. We believe that this neurorobotics model is a stepping stone to the development of more sophisticated models that could eventually test and inform new PD therapies and help to reduce and replace animals in research.
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Affiliation(s)
- Jhielson M. Pimentel
- Edinburgh Centre for Robotics, Heriot-Watt University, Edinburgh, United Kingdom
| | - Renan C. Moioli
- Bioinformatics Multidisciplinary Environment, Digital Metropolis Institute, Federal University of Rio Grande do Norte, Natal, Brazil
| | | | | | | | - Frank Broz
- Edinburgh Centre for Robotics, Heriot-Watt University, Edinburgh, United Kingdom
| | - Patricia A. Vargas
- Edinburgh Centre for Robotics, Heriot-Watt University, Edinburgh, United Kingdom
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Kaido T, Hirabayashi H, Murase N, Sasaki R, Shimokawara T, Nagata K, Bando C, Aono Y. Deep slow nasal respiration with tight lip closure for immediate attenuation of severe tics. J Clin Neurosci 2020; 77:67-74. [PMID: 32417125 DOI: 10.1016/j.jocn.2020.05.037] [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: 04/10/2020] [Accepted: 05/03/2020] [Indexed: 10/24/2022]
Abstract
BACKGROUND Severe intractable tics, which are associated with Tourette syndrome and chronic tic disorder (TS/CTD), severely affect the quality of life. Common less-invasive treatments are often unable to attenuate tics with deep brain stimulation currently being the only effective treatment. We aimed to assess the anti-tic effect of deep slow nasal respiration with tight lip closure using patients with TS/CTD. METHODS We retrospectively analyzed 10 consecutive patients (9 men, 1 woman; 23-41 years old). We instructed the patients to perform the procedure for 120 s and to obtain a video recording of before and during the procedure. The videos were used to count tics and determine lip competency or incompetency. The counted tics were rated using the modified Rush Video Rating Scale. RESULTS Compared with before the procedure, there were significantly lower frequencies of motor and phonic tics, as well as video scored, during the procedure. Eight patients presented with lip incompetency before the procedure and none after the procedure (P = 0.041). There were no side effects associated with the procedure. CONCLUSION Our findings indicate that deep slow nasal respiration with tight lip closure ameliorates tics in patients with TS/CTD. In accordance with our results, lip opening and oral breathing could be causes of tics, in addition to heritability. Therefore, this novel procedure could improve tics. Furthermore, our findings could contribute toward the development of tic treatments and elucidate their pathophysiology regarding the reward system, hypersensitivity, autonomic nerves, and nasal airway.
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Affiliation(s)
- Takanobu Kaido
- Department of Neurosurgery, National Hospital Organization Nara Medical Center, Nara, Japan; Anatomy and Physiology Laboratory, Department of Health and Nutrition, Osaka Shoin Women's University, Higashiosaka, Japan.
| | - Hidehiro Hirabayashi
- Department of Neurosurgery, National Hospital Organization Nara Medical Center, Nara, Japan
| | - Nagako Murase
- Department of Neurology, National Hospital Organization Nara Medical Center, Nara, Japan
| | - Ryota Sasaki
- Department of Neurosurgery, National Hospital Organization Nara Medical Center, Nara, Japan
| | - Tatsuo Shimokawara
- Department of Neurosurgery, National Hospital Organization Nara Medical Center, Nara, Japan
| | - Kiyoshi Nagata
- Department of Neurosurgery, National Hospital Organization Nara Medical Center, Nara, Japan
| | - Chiaki Bando
- Department of Internal Medicine, National Hospital Organization Nara Medical Center, Nara, Japan
| | - Yuka Aono
- Anatomy and Physiology Laboratory, Department of Health and Nutrition, Osaka Shoin Women's University, Higashiosaka, Japan
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7
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Deligianni F, Guo Y, Yang GZ. From Emotions to Mood Disorders: A Survey on Gait Analysis Methodology. IEEE J Biomed Health Inform 2019; 23:2302-2316. [PMID: 31502995 DOI: 10.1109/jbhi.2019.2938111] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
Mood disorders affect more than 300 million people worldwide and can cause devastating consequences. Elderly people and patients with neurological conditions are particularly susceptible to depression. Gait and body movements can be affected by mood disorders, and thus they can be used as a surrogate sign, as well as an objective index for pervasive monitoring of emotion and mood disorders in daily life. Here we review evidence that demonstrates the relationship between gait, emotions and mood disorders, highlighting the potential of a multimodal approach that couples gait data with physiological signals and home-based monitoring for early detection and management of mood disorders. This could enhance self-awareness, enable the development of objective biomarkers that identify high risk subjects and promote subject-specific treatment.
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8
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Caligiore D, Arbib MA, Miall RC, Baldassarre G. The super-learning hypothesis: Integrating learning processes across cortex, cerebellum and basal ganglia. Neurosci Biobehav Rev 2019; 100:19-34. [DOI: 10.1016/j.neubiorev.2019.02.008] [Citation(s) in RCA: 36] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2018] [Revised: 02/11/2019] [Accepted: 02/15/2019] [Indexed: 01/14/2023]
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9
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Todorov DI, Capps RA, Barnett WH, Latash EM, Kim T, Hamade KC, Markin SN, Rybak IA, Molkov YI. The interplay between cerebellum and basal ganglia in motor adaptation: A modeling study. PLoS One 2019; 14:e0214926. [PMID: 30978216 PMCID: PMC6461234 DOI: 10.1371/journal.pone.0214926] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2018] [Accepted: 03/24/2019] [Indexed: 11/18/2022] Open
Abstract
Motor adaptation to perturbations is provided by learning mechanisms operating in the cerebellum and basal ganglia. The cerebellum normally performs motor adaptation through supervised learning using information about movement error provided by visual feedback. However, if visual feedback is critically distorted, the system may disengage cerebellar error-based learning and switch to reinforcement learning mechanisms mediated by basal ganglia. Yet, the exact conditions and mechanisms of cerebellum and basal ganglia involvement in motor adaptation remain unknown. We use mathematical modeling to simulate control of planar reaching movements that relies on both error-based and non-error-based learning mechanisms. We show that for learning to be efficient only one of these mechanisms should be active at a time. We suggest that switching between the mechanisms is provided by a special circuit that effectively suppresses the learning process in one structure and enables it in the other. To do so, this circuit modulates learning rate in the cerebellum and dopamine release in basal ganglia depending on error-based learning efficiency. We use the model to explain and interpret experimental data on error- and non-error-based motor adaptation under different conditions.
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Affiliation(s)
- Dmitrii I. Todorov
- Department of Mathematics and Statistics, Georgia State University, Atlanta, Georgia, United States of America
| | - Robert A. Capps
- Department of Mathematics and Statistics, Georgia State University, Atlanta, Georgia, United States of America
| | - William H. Barnett
- Department of Mathematics and Statistics, Georgia State University, Atlanta, Georgia, United States of America
| | - Elizaveta M. Latash
- Department of Mathematics and Statistics, Georgia State University, Atlanta, Georgia, United States of America
| | - Taegyo Kim
- Department of Neurobiology and Anatomy, Drexel University College of Medicine, Philadelphia, Pennsylvania, United States of America
| | - Khaldoun C. Hamade
- Department of Neurobiology and Anatomy, Drexel University College of Medicine, Philadelphia, Pennsylvania, United States of America
| | - Sergey N. Markin
- Department of Neurobiology and Anatomy, Drexel University College of Medicine, Philadelphia, Pennsylvania, United States of America
| | - Ilya A. Rybak
- Department of Neurobiology and Anatomy, Drexel University College of Medicine, Philadelphia, Pennsylvania, United States of America
| | - Yaroslav I. Molkov
- Department of Mathematics and Statistics, Georgia State University, Atlanta, Georgia, United States of America
- Neuroscience Institute, Georgia State University, Atlanta, Georgia, United States of America
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10
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Kim T, Capps RA, Hamade KC, Barnett WH, Todorov DI, Latash EM, Markin SN, Rybak IA, Molkov YI. The Functional Role of Striatal Cholinergic Interneurons in Reinforcement Learning From Computational Perspective. Front Neural Circuits 2019; 13:10. [PMID: 30846930 PMCID: PMC6393383 DOI: 10.3389/fncir.2019.00010] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2018] [Accepted: 01/30/2019] [Indexed: 11/13/2022] Open
Abstract
In this study, we explore the functional role of striatal cholinergic interneurons, hereinafter referred to as tonically active neurons (TANs), via computational modeling; specifically, we investigate the mechanistic relationship between TAN activity and dopamine variations and how changes in this relationship affect reinforcement learning in the striatum. TANs pause their tonic firing activity after excitatory stimuli from thalamic and cortical neurons in response to a sensory event or reward information. During the pause striatal dopamine concentration excursions are observed. However, functional interactions between the TAN pause and striatal dopamine release are poorly understood. Here we propose a TAN activity-dopamine relationship model and demonstrate that the TAN pause is likely a time window to gate phasic dopamine release and dopamine variations reciprocally modulate the TAN pause duration. Furthermore, this model is integrated into our previously published model of reward-based motor adaptation to demonstrate how phasic dopamine release is gated by the TAN pause to deliver reward information for reinforcement learning in a timely manner. We also show how TAN-dopamine interactions are affected by striatal dopamine deficiency to produce poor performance of motor adaptation.
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Affiliation(s)
- Taegyo Kim
- Department of Neurobiology and Anatomy, Drexel University College of Medicine, Philadelphia, PA, United States
| | - Robert A Capps
- Neuroscience Institute, Georgia State University, Atlanta, GA, United States
| | - Khaldoun C Hamade
- Department of Neurobiology and Anatomy, Drexel University College of Medicine, Philadelphia, PA, United States
| | - William H Barnett
- Department of Mathematics and Statistics, Georgia State University, Atlanta, GA, United States
| | - Dmitrii I Todorov
- Department of Mathematics and Statistics, Georgia State University, Atlanta, GA, United States
| | - Elizaveta M Latash
- Department of Mathematics and Statistics, Georgia State University, Atlanta, GA, United States
| | - Sergey N Markin
- Department of Neurobiology and Anatomy, Drexel University College of Medicine, Philadelphia, PA, United States
| | - Ilya A Rybak
- Department of Neurobiology and Anatomy, Drexel University College of Medicine, Philadelphia, PA, United States
| | - Yaroslav I Molkov
- Neuroscience Institute, Georgia State University, Atlanta, GA, United States.,Department of Mathematics and Statistics, Georgia State University, Atlanta, GA, United States
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