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Jordi L, Isacson O. Neuronal threshold functions: Determining symptom onset in neurological disorders. Prog Neurobiol 2024; 242:102673. [PMID: 39389338 DOI: 10.1016/j.pneurobio.2024.102673] [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: 05/22/2024] [Revised: 09/18/2024] [Accepted: 10/06/2024] [Indexed: 10/12/2024]
Abstract
Synaptic networks determine brain function. Highly complex interconnected brain synaptic networks provide output even under fluctuating or pathological conditions. Relevant to the treatment of brain disorders, understanding the limitations of such functional networks becomes paramount. Here we use the example of Parkinson's Disease (PD) as a system disorder, with PD symptomatology emerging only when the functional reserves of neurons, and their interconnected networks, are unable to facilitate effective compensatory mechanisms. We have denoted this the "threshold theory" to account for how PD symptoms develop in sequence. In this perspective, threshold functions are delineated in a quantitative, synaptic, and cellular network context. This provides a framework to discuss the development of specific symptoms. PD includes dysfunction and degeneration in many organ systems and both peripheral and central nervous system involvement. The threshold theory accounts for and explains the reasons why parallel gradually emerging pathologies in brain and peripheral systems generate specific symptoms only when functional thresholds are crossed, like tipping points. New and mounting evidence demonstrate that PD and related neurodegenerative diseases are multisystem disorders, which transcends the traditional brain-centric paradigm. We believe that representation of threshold functions will be helpful to develop new medicines and interventions that are specific for both pre- and post-symptomatic periods of neurodegenerative disorders.
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Affiliation(s)
- Luc Jordi
- Neuroregeneration Institute, McLean Hospital / Harvard Medical School, Belmont, MA 02478, USA.
| | - Ole Isacson
- Neuroregeneration Institute, McLean Hospital / Harvard Medical School, Belmont, MA 02478, USA; Department of Neurology and Program in Neuroscience, Harvard Medical School, Boston, MA, USA.
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Leodori G, De Bartolo MI, Piervincenzi C, Mancuso M, Ojha A, Costanzo M, Aiello F, Vivacqua G, Fabbrini G, Conte A, Pantano P, Berardelli A, Belvisi D. Mapping Motor Cortical Network Excitability and Connectivity Changes in De Novo Parkinson's Disease. Mov Disord 2024; 39:1523-1532. [PMID: 38924157 DOI: 10.1002/mds.29901] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2024] [Revised: 05/07/2024] [Accepted: 06/10/2024] [Indexed: 06/28/2024] Open
Abstract
BACKGROUND Transcranial magnetic stimulation-electroencephalography (TMS-EEG) has demonstrated decreased excitability in the primary motor cortex (M1) and increased excitability in the pre-supplementary motor area (pre-SMA) in moderate-advanced Parkinson's disease (PD). OBJECTIVES The aim was to investigate whether these abnormalities are evident from the early stages of the disease, their behavioral correlates, and relationship to cortico-subcortical connections. METHODS Twenty-eight early, drug-naive (de novo) PD patients and 28 healthy controls (HCs) underwent TMS-EEG to record TMS-evoked potentials (TEPs) from the primary motor cortex (M1) and the pre-SMA, kinematic recording of finger-tapping movements, and a 3T-MRI (magnetic resonance imaging) scan to obtain diffusion tensor imaging (DTI) reconstruction of white matter (WM) tracts connecting M1 to the ventral lateral anterior thalamic nucleus and pre-SMA to the anterior putamen. RESULTS We found reduced M1 TEP P30 amplitude in de novo PD patients compared to HCs and similar pre-SMA TEP N40 amplitude between groups. PD patients exhibited smaller amplitude and slower velocity in finger-tapping movements and altered structural integrity in WM tracts of interest, although these changes did not correlate with TEPs. CONCLUSIONS M1 hypoexcitability is a characteristic of PD from early phases and may be a marker of the parkinsonian state. Pre-SMA hyperexcitability is not evident in early PD and possibly emerges at later stages of the disease. © 2024 The Author(s). Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society.
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Affiliation(s)
- Giorgio Leodori
- Department of Human Neurosciences, Sapienza University of Rome, Rome, Italy
- IRCCS Neuromed, Pozzilli, Italy
| | | | | | - Marco Mancuso
- Department of Human Neurosciences, Sapienza University of Rome, Rome, Italy
| | - Abhineet Ojha
- Department of Human Neurosciences, Sapienza University of Rome, Rome, Italy
| | - Matteo Costanzo
- Department of Human Neurosciences, Sapienza University of Rome, Rome, Italy
| | - Flavia Aiello
- Department of Human Neurosciences, Sapienza University of Rome, Rome, Italy
| | - Giorgio Vivacqua
- Unit of Microscopic and Ultrastructural Anatomy, Campus Bio-Medico University of Rome, Rome, Italy
| | - Giovanni Fabbrini
- Department of Human Neurosciences, Sapienza University of Rome, Rome, Italy
- IRCCS Neuromed, Pozzilli, Italy
| | - Antonella Conte
- Department of Human Neurosciences, Sapienza University of Rome, Rome, Italy
- IRCCS Neuromed, Pozzilli, Italy
| | - Patrizia Pantano
- Department of Human Neurosciences, Sapienza University of Rome, Rome, Italy
- IRCCS Neuromed, Pozzilli, Italy
| | - Alfredo Berardelli
- Department of Human Neurosciences, Sapienza University of Rome, Rome, Italy
- IRCCS Neuromed, Pozzilli, Italy
| | - Daniele Belvisi
- Department of Human Neurosciences, Sapienza University of Rome, Rome, Italy
- IRCCS Neuromed, Pozzilli, Italy
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Milekovic T, Moraud EM, Macellari N, Moerman C, Raschellà F, Sun S, Perich MG, Varescon C, Demesmaeker R, Bruel A, Bole-Feysot LN, Schiavone G, Pirondini E, YunLong C, Hao L, Galvez A, Hernandez-Charpak SD, Dumont G, Ravier J, Le Goff-Mignardot CG, Mignardot JB, Carparelli G, Harte C, Hankov N, Aureli V, Watrin A, Lambert H, Borton D, Laurens J, Vollenweider I, Borgognon S, Bourre F, Goillandeau M, Ko WKD, Petit L, Li Q, Buschman R, Buse N, Yaroshinsky M, Ledoux JB, Becce F, Jimenez MC, Bally JF, Denison T, Guehl D, Ijspeert A, Capogrosso M, Squair JW, Asboth L, Starr PA, Wang DD, Lacour SP, Micera S, Qin C, Bloch J, Bezard E, Courtine G. A spinal cord neuroprosthesis for locomotor deficits due to Parkinson's disease. Nat Med 2023; 29:2854-2865. [PMID: 37932548 DOI: 10.1038/s41591-023-02584-1] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2023] [Accepted: 09/08/2023] [Indexed: 11/08/2023]
Abstract
People with late-stage Parkinson's disease (PD) often suffer from debilitating locomotor deficits that are resistant to currently available therapies. To alleviate these deficits, we developed a neuroprosthesis operating in closed loop that targets the dorsal root entry zones innervating lumbosacral segments to reproduce the natural spatiotemporal activation of the lumbosacral spinal cord during walking. We first developed this neuroprosthesis in a non-human primate model that replicates locomotor deficits due to PD. This neuroprosthesis not only alleviated locomotor deficits but also restored skilled walking in this model. We then implanted the neuroprosthesis in a 62-year-old male with a 30-year history of PD who presented with severe gait impairments and frequent falls that were medically refractory to currently available therapies. We found that the neuroprosthesis interacted synergistically with deep brain stimulation of the subthalamic nucleus and dopaminergic replacement therapies to alleviate asymmetry and promote longer steps, improve balance and reduce freezing of gait. This neuroprosthesis opens new perspectives to reduce the severity of locomotor deficits in people with PD.
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Affiliation(s)
- Tomislav Milekovic
- NeuroX Institute, School of Life Sciences, Ecole Polytechnique Fédérale de Lausanne (EPFL), Geneva, Switzerland
- Department of Clinical Neurosciences, Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland
- NeuroRestore, Defitech Center for Interventional Neurotherapies, EPFL/CHUV/UNIL, Lausanne, Switzerland
- Department of Neurosurgery, CHUV, Lausanne, Switzerland
- Department of Fundamental Neuroscience, Faculty of Medicine, University of Geneva, Geneva, Switzerland
| | - Eduardo Martin Moraud
- Department of Clinical Neurosciences, Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland
- NeuroRestore, Defitech Center for Interventional Neurotherapies, EPFL/CHUV/UNIL, Lausanne, Switzerland
- Department of Neurosurgery, CHUV, Lausanne, Switzerland
| | - Nicolo Macellari
- NeuroX Institute, School of Life Sciences, Ecole Polytechnique Fédérale de Lausanne (EPFL), Geneva, Switzerland
- Department of Clinical Neurosciences, Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland
- NeuroRestore, Defitech Center for Interventional Neurotherapies, EPFL/CHUV/UNIL, Lausanne, Switzerland
- Department of Neurosurgery, CHUV, Lausanne, Switzerland
| | - Charlotte Moerman
- Department of Clinical Neurosciences, Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland
- NeuroRestore, Defitech Center for Interventional Neurotherapies, EPFL/CHUV/UNIL, Lausanne, Switzerland
- Department of Neurosurgery, CHUV, Lausanne, Switzerland
| | - Flavio Raschellà
- NeuroX Institute, School of Life Sciences, Ecole Polytechnique Fédérale de Lausanne (EPFL), Geneva, Switzerland
- NeuroX Institute, School of Bioengineering, EPFL, Lausanne, Switzerland
| | - Shiqi Sun
- NeuroX Institute, School of Life Sciences, Ecole Polytechnique Fédérale de Lausanne (EPFL), Geneva, Switzerland
- Department of Clinical Neurosciences, Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland
- NeuroRestore, Defitech Center for Interventional Neurotherapies, EPFL/CHUV/UNIL, Lausanne, Switzerland
- Department of Neurosurgery, CHUV, Lausanne, Switzerland
| | - Matthew G Perich
- Department of Fundamental Neuroscience, Faculty of Medicine, University of Geneva, Geneva, Switzerland
| | - Camille Varescon
- NeuroX Institute, School of Life Sciences, Ecole Polytechnique Fédérale de Lausanne (EPFL), Geneva, Switzerland
- Department of Clinical Neurosciences, Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland
- NeuroRestore, Defitech Center for Interventional Neurotherapies, EPFL/CHUV/UNIL, Lausanne, Switzerland
- Department of Neurosurgery, CHUV, Lausanne, Switzerland
| | - Robin Demesmaeker
- NeuroX Institute, School of Life Sciences, Ecole Polytechnique Fédérale de Lausanne (EPFL), Geneva, Switzerland
- Department of Clinical Neurosciences, Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland
- NeuroRestore, Defitech Center for Interventional Neurotherapies, EPFL/CHUV/UNIL, Lausanne, Switzerland
- Department of Neurosurgery, CHUV, Lausanne, Switzerland
| | - Alice Bruel
- Institute of Bioengineering, School of Engineering, EPFL, Lausanne, Switzerland
| | - Léa N Bole-Feysot
- NeuroX Institute, School of Life Sciences, Ecole Polytechnique Fédérale de Lausanne (EPFL), Geneva, Switzerland
- Department of Clinical Neurosciences, Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland
- NeuroRestore, Defitech Center for Interventional Neurotherapies, EPFL/CHUV/UNIL, Lausanne, Switzerland
- Department of Neurosurgery, CHUV, Lausanne, Switzerland
| | - Giuseppe Schiavone
- NeuroX Institute, School of Life Sciences, Ecole Polytechnique Fédérale de Lausanne (EPFL), Geneva, Switzerland
- Laboratory for Soft Bioelectronic Interfaces (LSBI), NeuroX Institute, EPFL, Lausanne, Switzerland
| | - Elvira Pirondini
- Department of Clinical Neurosciences, Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland
- NeuroRestore, Defitech Center for Interventional Neurotherapies, EPFL/CHUV/UNIL, Lausanne, Switzerland
- Rehab and Neural Engineering Labs, University of Pittsburgh, Pittsburgh, PA, USA
- Department of Physical Medicine and Rehabilitation, University of Pittsburgh, Pittsburgh, PA, USA
| | - Cheng YunLong
- Motac Neuroscience, UK-M15 6WE, Manchester, UK
- China Academy of Medical Sciences, Beijing, China
- Institute of Laboratory Animal Sciences, Beijing, China
| | - Li Hao
- Motac Neuroscience, UK-M15 6WE, Manchester, UK
- China Academy of Medical Sciences, Beijing, China
- Institute of Laboratory Animal Sciences, Beijing, China
| | - Andrea Galvez
- NeuroX Institute, School of Life Sciences, Ecole Polytechnique Fédérale de Lausanne (EPFL), Geneva, Switzerland
- Department of Clinical Neurosciences, Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland
- NeuroRestore, Defitech Center for Interventional Neurotherapies, EPFL/CHUV/UNIL, Lausanne, Switzerland
- Department of Neurosurgery, CHUV, Lausanne, Switzerland
| | - Sergio Daniel Hernandez-Charpak
- NeuroX Institute, School of Life Sciences, Ecole Polytechnique Fédérale de Lausanne (EPFL), Geneva, Switzerland
- Department of Clinical Neurosciences, Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland
- NeuroRestore, Defitech Center for Interventional Neurotherapies, EPFL/CHUV/UNIL, Lausanne, Switzerland
- Department of Neurosurgery, CHUV, Lausanne, Switzerland
| | - Gregory Dumont
- NeuroX Institute, School of Life Sciences, Ecole Polytechnique Fédérale de Lausanne (EPFL), Geneva, Switzerland
- Department of Clinical Neurosciences, Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland
- NeuroRestore, Defitech Center for Interventional Neurotherapies, EPFL/CHUV/UNIL, Lausanne, Switzerland
- Department of Neurosurgery, CHUV, Lausanne, Switzerland
| | - Jimmy Ravier
- NeuroX Institute, School of Life Sciences, Ecole Polytechnique Fédérale de Lausanne (EPFL), Geneva, Switzerland
- Department of Clinical Neurosciences, Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland
- NeuroRestore, Defitech Center for Interventional Neurotherapies, EPFL/CHUV/UNIL, Lausanne, Switzerland
- Department of Neurosurgery, CHUV, Lausanne, Switzerland
| | - Camille G Le Goff-Mignardot
- NeuroX Institute, School of Life Sciences, Ecole Polytechnique Fédérale de Lausanne (EPFL), Geneva, Switzerland
- Department of Clinical Neurosciences, Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland
- NeuroRestore, Defitech Center for Interventional Neurotherapies, EPFL/CHUV/UNIL, Lausanne, Switzerland
- Department of Neurosurgery, CHUV, Lausanne, Switzerland
| | - Jean-Baptiste Mignardot
- NeuroX Institute, School of Life Sciences, Ecole Polytechnique Fédérale de Lausanne (EPFL), Geneva, Switzerland
- Department of Clinical Neurosciences, Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland
- NeuroRestore, Defitech Center for Interventional Neurotherapies, EPFL/CHUV/UNIL, Lausanne, Switzerland
- Department of Neurosurgery, CHUV, Lausanne, Switzerland
| | - Gaia Carparelli
- NeuroX Institute, School of Life Sciences, Ecole Polytechnique Fédérale de Lausanne (EPFL), Geneva, Switzerland
- Department of Clinical Neurosciences, Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland
- NeuroRestore, Defitech Center for Interventional Neurotherapies, EPFL/CHUV/UNIL, Lausanne, Switzerland
- Department of Neurosurgery, CHUV, Lausanne, Switzerland
| | - Cathal Harte
- NeuroX Institute, School of Life Sciences, Ecole Polytechnique Fédérale de Lausanne (EPFL), Geneva, Switzerland
- Department of Clinical Neurosciences, Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland
- NeuroRestore, Defitech Center for Interventional Neurotherapies, EPFL/CHUV/UNIL, Lausanne, Switzerland
- Department of Neurosurgery, CHUV, Lausanne, Switzerland
| | - Nicolas Hankov
- NeuroX Institute, School of Life Sciences, Ecole Polytechnique Fédérale de Lausanne (EPFL), Geneva, Switzerland
- Department of Clinical Neurosciences, Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland
- NeuroRestore, Defitech Center for Interventional Neurotherapies, EPFL/CHUV/UNIL, Lausanne, Switzerland
- Department of Neurosurgery, CHUV, Lausanne, Switzerland
| | - Viviana Aureli
- NeuroX Institute, School of Life Sciences, Ecole Polytechnique Fédérale de Lausanne (EPFL), Geneva, Switzerland
- Department of Clinical Neurosciences, Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland
- NeuroRestore, Defitech Center for Interventional Neurotherapies, EPFL/CHUV/UNIL, Lausanne, Switzerland
- Department of Neurosurgery, CHUV, Lausanne, Switzerland
| | | | | | - David Borton
- NeuroX Institute, School of Life Sciences, Ecole Polytechnique Fédérale de Lausanne (EPFL), Geneva, Switzerland
- Department of Clinical Neurosciences, Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland
- NeuroRestore, Defitech Center for Interventional Neurotherapies, EPFL/CHUV/UNIL, Lausanne, Switzerland
- Department of Neurosurgery, CHUV, Lausanne, Switzerland
- School of Engineering, Carney Institute for Brain Science, Brown University, Providence, RI, USA
| | - Jean Laurens
- NeuroX Institute, School of Life Sciences, Ecole Polytechnique Fédérale de Lausanne (EPFL), Geneva, Switzerland
- Department of Neuroscience, Baylor College of Medicine, Houston, TX, USA
| | - Isabelle Vollenweider
- NeuroX Institute, School of Life Sciences, Ecole Polytechnique Fédérale de Lausanne (EPFL), Geneva, Switzerland
- Department of Clinical Neurosciences, Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland
- NeuroRestore, Defitech Center for Interventional Neurotherapies, EPFL/CHUV/UNIL, Lausanne, Switzerland
- Department of Neurosurgery, CHUV, Lausanne, Switzerland
| | - Simon Borgognon
- NeuroX Institute, School of Life Sciences, Ecole Polytechnique Fédérale de Lausanne (EPFL), Geneva, Switzerland
- Department of Clinical Neurosciences, Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland
- NeuroRestore, Defitech Center for Interventional Neurotherapies, EPFL/CHUV/UNIL, Lausanne, Switzerland
- Department of Neurosurgery, CHUV, Lausanne, Switzerland
| | - François Bourre
- Université de Bordeaux, Institut des Maladies Neurodégénératives, UMR 5293, Bordeaux, France
- CNRS, Institut des Maladies Neurodégénératives, UMR 5293, Bordeaux, France
| | - Michel Goillandeau
- Université de Bordeaux, Institut des Maladies Neurodégénératives, UMR 5293, Bordeaux, France
- CNRS, Institut des Maladies Neurodégénératives, UMR 5293, Bordeaux, France
| | - Wai Kin D Ko
- Motac Neuroscience, UK-M15 6WE, Manchester, UK
- China Academy of Medical Sciences, Beijing, China
- Institute of Laboratory Animal Sciences, Beijing, China
| | - Laurent Petit
- Université de Bordeaux, Institut des Maladies Neurodégénératives, UMR 5293, Bordeaux, France
- CNRS, Institut des Maladies Neurodégénératives, UMR 5293, Bordeaux, France
| | - Qin Li
- Motac Neuroscience, UK-M15 6WE, Manchester, UK
- China Academy of Medical Sciences, Beijing, China
- Institute of Laboratory Animal Sciences, Beijing, China
| | | | | | - Maria Yaroshinsky
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA, USA
| | - Jean-Baptiste Ledoux
- Department of Diagnostic and Interventional Radiology, CHUV/UNIL, Lausanne, Switzerland
| | - Fabio Becce
- Department of Diagnostic and Interventional Radiology, CHUV/UNIL, Lausanne, Switzerland
| | | | - Julien F Bally
- Department of Neurology, CHUV/UNIL, Lausanne, Switzerland
| | | | - Dominique Guehl
- Université de Bordeaux, Institut des Maladies Neurodégénératives, UMR 5293, Bordeaux, France
- CNRS, Institut des Maladies Neurodégénératives, UMR 5293, Bordeaux, France
| | - Auke Ijspeert
- Institute of Bioengineering, School of Engineering, EPFL, Lausanne, Switzerland
| | - Marco Capogrosso
- NeuroX Institute, School of Life Sciences, Ecole Polytechnique Fédérale de Lausanne (EPFL), Geneva, Switzerland
- Department of Clinical Neurosciences, Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland
- NeuroRestore, Defitech Center for Interventional Neurotherapies, EPFL/CHUV/UNIL, Lausanne, Switzerland
- Department of Neurosurgery, CHUV, Lausanne, Switzerland
- Rehab and Neural Engineering Labs, University of Pittsburgh, Pittsburgh, PA, USA
| | - Jordan W Squair
- NeuroX Institute, School of Life Sciences, Ecole Polytechnique Fédérale de Lausanne (EPFL), Geneva, Switzerland
- Department of Clinical Neurosciences, Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland
- NeuroRestore, Defitech Center for Interventional Neurotherapies, EPFL/CHUV/UNIL, Lausanne, Switzerland
- Department of Neurosurgery, CHUV, Lausanne, Switzerland
| | - Leonie Asboth
- NeuroX Institute, School of Life Sciences, Ecole Polytechnique Fédérale de Lausanne (EPFL), Geneva, Switzerland
- Department of Clinical Neurosciences, Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland
- NeuroRestore, Defitech Center for Interventional Neurotherapies, EPFL/CHUV/UNIL, Lausanne, Switzerland
- Department of Neurosurgery, CHUV, Lausanne, Switzerland
| | - Philip A Starr
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA, USA
| | - Doris D Wang
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA, USA
| | - Stéphanie P Lacour
- NeuroX Institute, School of Bioengineering, EPFL, Lausanne, Switzerland
- Laboratory for Soft Bioelectronic Interfaces (LSBI), NeuroX Institute, EPFL, Lausanne, Switzerland
| | - Silvestro Micera
- NeuroX Institute, School of Bioengineering, EPFL, Lausanne, Switzerland
- Department of Excellence in Robotics and AI, Biorobotics Institute, Scuola Superiore Sant'Anna, Pisa, Italy
| | - Chuan Qin
- China Academy of Medical Sciences, Beijing, China
| | - Jocelyne Bloch
- NeuroX Institute, School of Life Sciences, Ecole Polytechnique Fédérale de Lausanne (EPFL), Geneva, Switzerland.
- Department of Clinical Neurosciences, Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland.
- NeuroRestore, Defitech Center for Interventional Neurotherapies, EPFL/CHUV/UNIL, Lausanne, Switzerland.
- Department of Neurosurgery, CHUV, Lausanne, Switzerland.
| | - Erwan Bezard
- Motac Neuroscience, UK-M15 6WE, Manchester, UK.
- China Academy of Medical Sciences, Beijing, China.
- Institute of Laboratory Animal Sciences, Beijing, China.
- Université de Bordeaux, Institut des Maladies Neurodégénératives, UMR 5293, Bordeaux, France.
- CNRS, Institut des Maladies Neurodégénératives, UMR 5293, Bordeaux, France.
| | - G Courtine
- NeuroX Institute, School of Life Sciences, Ecole Polytechnique Fédérale de Lausanne (EPFL), Geneva, Switzerland.
- Department of Clinical Neurosciences, Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland.
- NeuroRestore, Defitech Center for Interventional Neurotherapies, EPFL/CHUV/UNIL, Lausanne, Switzerland.
- Department of Neurosurgery, CHUV, Lausanne, Switzerland.
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Bao Y, Ya Y, Liu J, Zhang C, Wang E, Fan G. Regional homogeneity and functional connectivity of freezing of gait conversion in Parkinson's disease. Front Aging Neurosci 2023; 15:1179752. [PMID: 37502425 PMCID: PMC10370278 DOI: 10.3389/fnagi.2023.1179752] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2023] [Accepted: 06/22/2023] [Indexed: 07/29/2023] Open
Abstract
Background Freezing of gait (FOG) is common in the late stage of Parkinson's disease (PD), which can lead to disability and impacts the quality of life. Therefore, early recognition is crucial for therapeutic intervention. We aimed to explore the abnormal regional homogeneity (ReHo) and functional connectivity (FC) in FOG converters and evaluate their diagnostic values. Methods The data downloaded from the Parkinson's Disease Progression Markers Project (PPMI) cohort was subdivided into PD-FOG converters (n = 16) and non-converters (n = 17) based on whether FOG appeared during the 3-year follow-up; 16 healthy controls were well-matched. ReHo and FC analyses were used to explore the variations in spontaneous activity and interactions between significant regions among three groups of baseline data. Correlations between clinical variables and the altered ReHo values were assessed in FOG converter group. Last, logistic regression and receiver operating characteristic curve (ROC) were used to predict diagnostic value. Results Compared with the non-converters, FOG converters had reduced ReHo in the bilateral medial superior frontal gyrus (SFGmed), which was negatively correlated with the postural instability and gait difficulty (PIGD) score. ReHo within left amygdala/olfactory cortex/putamen (AMYG/OLF/PUT) was decreased, which was correlated with anxiety and autonomic dysfunction. Also, increased ReHo in the left supplementary motor area/paracentral lobule was positively correlated with the rapid eye movement sleep behavior disorder screening questionnaire. FOG converters exhibited diminished FC in the basal ganglia, limbic area, and cognitive control cortex, as compared with non-converters. The prediction model combined ReHo of basal ganglia and limbic area, with PIGD score was the best predictor of FOG conversion. Conclusion The current results suggested that abnormal ReHo and FC in the basal ganglia, limbic area, and cognitive control cortex may occur in the early stage of FOG. Basal ganglia and limbic area dysfunction combined with higher PIGD score are useful for the early recognition of FOG conversion.
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Affiliation(s)
- Yiqing Bao
- Department of Radiology, The Second Affiliated Hospital of Soochow University, Suzhou, China
| | - Yang Ya
- Department of Radiology, The Second Affiliated Hospital of Soochow University, Suzhou, China
| | - Jing Liu
- Department of Neurology, The Second Affiliated Hospital of Soochow University, Suzhou, China
| | - Chenchen Zhang
- Department of Radiology, The Second Affiliated Hospital of Soochow University, Suzhou, China
| | - Erlei Wang
- Department of Radiology, The Second Affiliated Hospital of Soochow University, Suzhou, China
| | - Guohua Fan
- Department of Radiology, The Second Affiliated Hospital of Soochow University, Suzhou, China
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Chung JW, Bower AE, Malik I, Martello JP, Knight CA, Jeka JJ, Burciu RG. Imaging the lower limb network in Parkinson's disease. Neuroimage Clin 2023; 38:103399. [PMID: 37058977 PMCID: PMC10131075 DOI: 10.1016/j.nicl.2023.103399] [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: 02/03/2023] [Revised: 03/27/2023] [Accepted: 04/05/2023] [Indexed: 04/16/2023]
Abstract
BACKGROUND Despite the significant impact of lower limb symptoms on everyday life activities in Parkinson's disease (PD), knowledge of the neural correlates of lower limb deficits is limited. OBJECTIVE We ran an fMRI study to investigate the neural correlates of lower limb movements in individuals with and without PD. METHODS Participants included 24 PD and 21 older adults who were scanned while performing a precisely controlled isometric force generation task by dorsiflexing their ankle. A novel MRI-compatible ankle dorsiflexion device that limits head motion during motor tasks was used. The PD were tested on their more affected side, whereas the side in controls was randomized. Importantly, PD were tested in the off-state, following overnight withdrawal from antiparkinsonian medication. RESULTS The foot task revealed extensive functional brain changes in PD compared to controls, with reduced fMRI signal during ankle dorsiflexion within the contralateral putamen and M1 foot area, and ipsilateral cerebellum. The activity of M1 foot area was negatively correlated with the severity of foot symptoms based on the Movement Disorder Society-Sponsored Revision of the Unified Parkinson's Disease Rating Scale (MDS-UPDRS-III). CONCLUSION Overall, current findings provide new evidence of brain changes underlying motor symptoms in PD. Our results suggest that pathophysiology of lower limb symptoms in PD appears to involve both the cortico-basal ganglia and cortico-cerebellar motor circuits.
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Affiliation(s)
- Jae Woo Chung
- Department of Kinesiology and Applied Physiology, University of Delaware, Newark, DE, United States
| | - Abigail E Bower
- Department of Kinesiology and Applied Physiology, University of Delaware, Newark, DE, United States
| | - Ibrahim Malik
- Center for Biomedical & Brain Imaging, University of Delaware, Newark, DE, United States
| | - Justin P Martello
- Department of Neurosciences, Christiana Care Health System, Newark, DE, United States
| | - Christopher A Knight
- Department of Kinesiology and Applied Physiology, University of Delaware, Newark, DE, United States; Interdisciplinary Neuroscience Graduate Program, University of Delaware, Newark, DE, United States
| | - John J Jeka
- Department of Kinesiology and Applied Physiology, University of Delaware, Newark, DE, United States; Interdisciplinary Neuroscience Graduate Program, University of Delaware, Newark, DE, United States
| | - Roxana G Burciu
- Department of Kinesiology and Applied Physiology, University of Delaware, Newark, DE, United States; Interdisciplinary Neuroscience Graduate Program, University of Delaware, Newark, DE, United States.
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6
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Identification of cerebral cortices processing acceleration, velocity, and position during directional reaching movement with deep neural network and explainable AI. Neuroimage 2023; 266:119783. [PMID: 36528312 DOI: 10.1016/j.neuroimage.2022.119783] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2022] [Revised: 09/22/2022] [Accepted: 11/30/2022] [Indexed: 12/23/2022] Open
Abstract
Cerebral cortical representation of motor kinematics is crucial for understanding human motor behavior, potentially extending to efficient control of the brain-computer interface. Numerous single-neuron studies have found the existence of a relationship between neuronal activity and motor kinematics such as acceleration, velocity, and position. Despite differences between kinematic characteristics, it is hard to distinguish neural representations of these kinematic characteristics with macroscopic functional images such as electroencephalography (EEG) and magnetoencephalography (MEG). The reason might be because cortical signals are not sensitive enough to segregate kinematic characteristics due to their limited spatial and temporal resolution. Considering different roles of each cortical area in producing movement, there might be a specific cortical representation depending on characteristics of acceleration, velocity, and position. Recently, neural network modeling has been actively pursued in the field of decoding. We hypothesized that neural features of each kinematic parameter could be identified with a high-performing model for decoding with an explainable AI method. Time-series deep neural network (DNN) models were used to measure the relationship between cortical activity and motor kinematics during reaching movement. With DNN models, kinematic parameters of reaching movement in a 3D space were decoded based on cortical source activity obtained from MEG data. An explainable artificial intelligence (AI) method was then adopted to extract the map of cortical areas, which strongly contributed to decoding each kinematics from DNN models. We found that there existed differed as well as shared cortical areas for decoding each kinematic attribute. Shared areas included bilateral supramarginal gyri and superior parietal lobules known to be related to the goal of movement and sensory integration. On the other hand, dominant areas for each kinematic parameter (the contralateral motor cortex for acceleration, the contralateral parieto-frontal network for velocity, and bilateral visuomotor areas for position) were mutually exclusive. Regarding the visuomotor reaching movement, the motor cortex was found to control the muscle force, the parieto-frontal network encoded reaching movement from sensory information, and visuomotor areas computed limb and gaze coordination in the action space. To the best of our knowledge, this is the first study to discriminate kinematic cortical areas using DNN models and explainable AI.
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7
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Functional correlates of response inhibition in impulse control disorders in Parkinson's disease. Neuroimage Clin 2022; 32:102822. [PMID: 34536820 PMCID: PMC8449263 DOI: 10.1016/j.nicl.2021.102822] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2021] [Revised: 07/10/2021] [Accepted: 09/07/2021] [Indexed: 12/31/2022]
Abstract
PD patients with ICD behave like controls in proactive and reactive inhibition. PD patients with ICD recruit different mechanisms depending on the inhibition type. Proactive inhibition is executed hyperactivating the stopping network bilaterally. Restrained inhibition is accomplished with the coactivation of attentional areas. In restrained inhibition, connectivity between right STN and precuneus is reduced.
Impulse control disorder is a prevalent side-effect of Parkinson’s disease (PD) medication, with a strong negative impact on the quality of life of those affected. Although impulsivity has classically been associated with response inhibition deficits, previous evidence from PD patients with impulse control disorder (ICD) has not revealed behavioral dysfunction in response inhibition. In this study, 18 PD patients with ICD, 17 PD patients without this complication, and 15 healthy controls performed a version of the conditional Stop Signal Task during functional magnetic resonance imaging. Whole-brain contrasts, regions of interest, and functional connectivity analyses were conducted. Our aim was to investigate the neural underpinnings of two aspects of response inhibition: proactive inhibition, inhibition that has been prepared beforehand, and restrained inhibition, inhibition of an invalid inhibitory tendency. We observed that, in respect to the other two groups, PD patients with ICD exhibited hyperactivation of the stopping network bilaterally while performing proactive inhibition. When engaged in restrained inhibition, they showed hyperactivation of the left inferior frontal gyrus, an area linked to action monitoring. Restrained inhibition also resulted in changes to the functional co-activation between inhibitory regions and left inferior parietal cortex and right supramarginal gyrus. Our findings indicate that PD patients with ICD completed the inhibition task correctly, showing altered engagement of inhibitory and attentional areas. During proactive inhibition they showed bilateral hyperactivation of two inhibitory regions, while during restrained inhibition they showed additional involvement of attentional areas responsible for alerting and orienting.
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8
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Rahimpour S, Rajkumar S, Hallett M. The Supplementary Motor Complex in Parkinson's Disease. J Mov Disord 2021; 15:21-32. [PMID: 34814237 PMCID: PMC8820882 DOI: 10.14802/jmd.21075] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2021] [Accepted: 09/14/2021] [Indexed: 11/24/2022] Open
Abstract
Parkinson's disease (PD) is a neurodegenerative disorder characterized by both motor and nonmotor symptoms. Although the basal ganglia is traditionally the primary brain region implicated in this disease process, this limited view ignores the roles of the cortex and cerebellum that are networked with the basal ganglia to support motor and cognitive functions. In particular, recent research has highlighted dysfunction in the supplementary motor complex (SMC) in patients with PD. Using the PubMed and Google Scholar search engines, we identified research articles using keywords pertaining to the involvement of the SMC in action sequencing impairments, temporal processing disturbances, and gait impairment in patients with PD. A review of abstracts and full-text articles was used to identify relevant articles. In this review of 63 articles, we focus on the role of the SMC in PD, highlighting anatomical and functional data to create new perspectives in understanding clinical symptoms and, potentially, new therapeutic targets. The SMC has a nuanced role in the pathophysiology of PD, with both hypo- and hyperactivation associated with various symptoms. Further studies using more standardized patient populations and functional tasks are needed to more clearly elucidate the role of this region in the pathophysiology and treatment of PD.
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Affiliation(s)
- Shervin Rahimpour
- Department of Neurosurgery, Clinical Neuroscience Center, University of Utah, Salt Lake City, UT, USA
| | - Shashank Rajkumar
- Department of Neurosurgery, Duke University Hospital, Durham, NC, USA
| | - Mark Hallett
- Human Motor Control Section, Medical Neurology Branch, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA
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9
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Novaes NP, Balardin JB, Hirata FC, Melo L, Amaro E, Barbosa ER, Sato JR, Cardoso EF. Global efficiency of the motor network is decreased in Parkinson's disease in comparison with essential tremor and healthy controls. Brain Behav 2021; 11:e02178. [PMID: 34302446 PMCID: PMC8413813 DOI: 10.1002/brb3.2178] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/20/2020] [Revised: 03/19/2021] [Accepted: 04/17/2021] [Indexed: 11/06/2022] Open
Abstract
BACKGROUND Graph theory (GT) is a mathematical field that analyses complex networks that can be applied to neuroimaging to quantify brain's functional systems in Parkinson's disease (PD) and essential tremor (ET). OBJECTIVES To evaluate the functional connectivity (FC) measured by the global efficiency (GE) of the motor network in PD and compare it to ET and healthy controls (HC), and correlate it to clinical parameters. METHODS 103 subjects (54PD, 18ET, 31HC) were submitted to structural and functional MRI. A network was designed with regions of interest (ROIs) involved in motor function, and GT was applied to determine its GE. Clinical parameters were analyzed as covariates to estimate the impact of disease severity and medication on GE. RESULTS GE of the motor circuit was reduced in PD in comparison with HC (p .042). Areas that most contributed to it were left supplementary motor area (SMA) and bilateral postcentral gyrus. Tremor scores correlated positively with GE of the motor network in PD subgroups. For ET, there was an increase in the connectivity of the anterior cerebellar network to the other ROIs of the motor circuit in comparison with PD. CONCLUSIONS FC measured by the GE of the motor network is diminished in PD in comparison with HC, especially due to decreased connectivity of left SMA and bilateral postcentral gyrus. This finding supports the theory that there is a global impairment of the motor network in PD, and it does not affect just the basal ganglia, but also areas associated with movement modulation. The ET group presented an increased connectivity of the anterior cerebellar network to the other ROIs of the motor circuit when compared to PD, which reinforces what it is known about its role in this pathology.
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Affiliation(s)
- Natalia Pelizari Novaes
- Neurology, Universidade de São Paulo, São Paulo, Brazil.,Hospital Israelita Albert Einstein, São Paulo, Brazil.,Radiology, Universidade de São Paulo, São Paulo, Brazil.,Hôpital du Valais, Sion, Switzerland
| | | | - Fabiana Campos Hirata
- Hospital Israelita Albert Einstein, São Paulo, Brazil.,Radiology, Universidade de São Paulo, São Paulo, Brazil
| | - Luciano Melo
- Neurology, Universidade de São Paulo, São Paulo, Brazil
| | - Edson Amaro
- Hospital Israelita Albert Einstein, São Paulo, Brazil.,Radiology, Universidade de São Paulo, São Paulo, Brazil
| | | | | | - Ellison Fernando Cardoso
- Hospital Israelita Albert Einstein, São Paulo, Brazil.,Radiology, Universidade de São Paulo, São Paulo, Brazil
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10
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Herz DM, Meder D, Camilleri JA, Eickhoff SB, Siebner HR. Brain Motor Network Changes in Parkinson's Disease: Evidence from Meta-Analytic Modeling. Mov Disord 2021; 36:1180-1190. [PMID: 33427336 PMCID: PMC8127399 DOI: 10.1002/mds.28468] [Citation(s) in RCA: 26] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2020] [Revised: 12/09/2020] [Accepted: 12/10/2020] [Indexed: 12/30/2022] Open
Abstract
Background Motor‐related brain activity in Parkinson's disease has been investigated in a multitude of functional neuroimaging studies, which often yielded apparently conflicting results. Our previous meta‐analysis did not resolve inconsistencies regarding cortical activation differences in Parkinson's disease, which might be related to the limited number of studies that could be included. Therefore, we conducted a revised meta‐analysis including a larger number of studies. The objectives of this study were to elucidate brain areas that consistently show abnormal motor‐related activation in Parkinson's disease and to reveal their functional connectivity profiles using meta‐analytic approaches. Methods We applied a quantitative meta‐analysis of functional neuroimaging studies testing limb movements in Parkinson's disease comprising data from 39 studies, of which 15 studies (285 of 571 individual patients) were published after the previous meta‐analysis. We also conducted meta‐analytic connectivity modeling to elucidate the connectivity profiles of areas showing abnormal activation. Results We found consistent motor‐related underactivation of bilateral posterior putamen and cerebellum in Parkinson's disease. Primary motor cortex and the supplementary motor area also showed deficient activation, whereas cortical regions localized directly anterior to these areas expressed overactivation. Connectivity modeling revealed that areas showing decreased activation shared a common pathway through the posterior putamen, whereas areas showing increased activation were connected to the anterior putamen. Conclusions Despite conflicting results in individual neuroimaging studies, this revised meta‐analytic approach identified consistent patterns of abnormal motor‐related activation in Parkinson's disease. The distinct patterns of decreased and increased activity might be determined by their connectivity with different subregions of the putamen. © 2021 The Authors. Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society.
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Affiliation(s)
- Damian M Herz
- Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital Hvidovre, Hvidovre, Denmark
| | - David Meder
- Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital Hvidovre, Hvidovre, Denmark
| | - Julia A Camilleri
- Research Center Juelich, Institute of Neuroscience and Medicine, Brain & Behaviour (INM-7), Juelich, Germany.,Institute of Systems Neuroscience, Medical Faculty, Heinrich Heine University Duesseldorf, Duesseldorf, Germany
| | - Simon B Eickhoff
- Research Center Juelich, Institute of Neuroscience and Medicine, Brain & Behaviour (INM-7), Juelich, Germany.,Institute of Systems Neuroscience, Medical Faculty, Heinrich Heine University Duesseldorf, Duesseldorf, Germany
| | - Hartwig R Siebner
- Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital Hvidovre, Hvidovre, Denmark.,Department of Neurology, Copenhagen University Hospital Bispebjerg, Copenhagen, Denmark.,Institute of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
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11
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Gan C, Wang M, Si Q, Yuan Y, Zhi Y, Wang L, Ma K, Zhang K. Altered interhemispheric synchrony in Parkinson's disease patients with levodopa-induced dyskinesias. NPJ Parkinsons Dis 2020; 6:14. [PMID: 32665973 PMCID: PMC7343784 DOI: 10.1038/s41531-020-0116-2] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2020] [Accepted: 06/02/2020] [Indexed: 11/28/2022] Open
Abstract
Levodopa-induced dyskinesias are common motor complication of Parkinson's disease after 4-6 years of treatment. The hallmarks of dyskinesias include unilateral onset and the tendency to appear on the more affected body sides. There is a growing literature documenting the lateralization abnormalities are associated with the emergence of dyskinesias. Our investigation aimed to explore interhemispheric functional and its corresponding morphological asymmetry. A total of 22 dyskinetic patients, 23 nondyskinetic patients, and 26 controls were enrolled. Resting-state functional magnetic resonance imaging scans were performed twice before and after dopaminergic medication. Voxel-mirrored Homotopic Connectivity (VMHC) and Freesurfer were employed to assess the synchronicity of functional connectivity and structural alternations between hemispheres. During OFF state, dyskinetic patients showed desynchronization of inferior frontal cortex (IFC) when compared to nondyskinetic patients. And during ON state, dyskinetic patients showed desynchronization of IFC and pre-supplementary motor area (pre-SMA) when compared to nondyskinetic patients. However, there was no corresponding significant asymmetries in cortical thickness. Moreover, the degree of desynchronization of IFC and pre-SMA in dyskinetic pateients during ON state were negatively correlated with the Abnormal Involuntary Movement Scale (AIMS) scores. Notably, among patients who showed asymmetrical dyskinesias, there was a significant negative correlation between VMHC values of IFC and dyskinesias symptom asymmetry. Our findings suggested that uncoordinated inhibitory control over motor circuits may underlie the neural mechanisms of dyskinesias in Parkinson's disease and be related to its severity and lateralization.
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Affiliation(s)
- Caiting Gan
- Department of Neurology, The First Affiliated Hospital of Nanjing Medical University, No. 300 Guangzhou Road, Nanjing, 210029 China
| | - Min Wang
- Department of Radiology, The First Affiliated Hospital of Nanjing Medical University, No. 300 Guangzhou Road, Nanjing, 210029 China
| | - Qianqian Si
- Department of Neurology, The First Affiliated Hospital of Nanjing Medical University, No. 300 Guangzhou Road, Nanjing, 210029 China
| | - Yongsheng Yuan
- Department of Neurology, The First Affiliated Hospital of Nanjing Medical University, No. 300 Guangzhou Road, Nanjing, 210029 China
| | - Yan Zhi
- Department of Neurology, The First Affiliated Hospital of Nanjing Medical University, No. 300 Guangzhou Road, Nanjing, 210029 China
| | - Lina Wang
- Department of Neurology, The First Affiliated Hospital of Nanjing Medical University, No. 300 Guangzhou Road, Nanjing, 210029 China
| | - Kewei Ma
- Department of Neurology, The First Affiliated Hospital of Nanjing Medical University, No. 300 Guangzhou Road, Nanjing, 210029 China
| | - Kezhong Zhang
- Department of Neurology, The First Affiliated Hospital of Nanjing Medical University, No. 300 Guangzhou Road, Nanjing, 210029 China
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12
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Why do we move to the beat? A multi-scale approach, from physical principles to brain dynamics. Neurosci Biobehav Rev 2020; 112:553-584. [DOI: 10.1016/j.neubiorev.2019.12.024] [Citation(s) in RCA: 36] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2019] [Revised: 10/20/2019] [Accepted: 12/13/2019] [Indexed: 01/08/2023]
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13
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Bologna M, Paparella G, Fasano A, Hallett M, Berardelli A. Evolving concepts on bradykinesia. Brain 2020; 143:727-750. [PMID: 31834375 PMCID: PMC8205506 DOI: 10.1093/brain/awz344] [Citation(s) in RCA: 125] [Impact Index Per Article: 31.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2019] [Revised: 09/02/2019] [Accepted: 09/06/2019] [Indexed: 12/20/2022] Open
Abstract
Bradykinesia is one of the cardinal motor symptoms of Parkinson's disease and other parkinsonisms. The various clinical aspects related to bradykinesia and the pathophysiological mechanisms underlying bradykinesia are, however, still unclear. In this article, we review clinical and experimental studies on bradykinesia performed in patients with Parkinson's disease and atypical parkinsonism. We also review studies on animal experiments dealing with pathophysiological aspects of the parkinsonian state. In Parkinson's disease, bradykinesia is characterized by slowness, the reduced amplitude of movement, and sequence effect. These features are also present in atypical parkinsonisms, but the sequence effect is not common. Levodopa therapy improves bradykinesia, but treatment variably affects the bradykinesia features and does not significantly modify the sequence effect. Findings from animal and patients demonstrate the role of the basal ganglia and other interconnected structures, such as the primary motor cortex and cerebellum, as well as the contribution of abnormal sensorimotor processing. Bradykinesia should be interpreted as arising from network dysfunction. A better understanding of bradykinesia pathophysiology will serve as the new starting point for clinical and experimental purposes.
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Affiliation(s)
- Matteo Bologna
- Department of Human Neurosciences, Sapienza University of Rome, Italy
- IRCCS Neuromed, Pozzilli (IS), Italy
| | | | - Alfonso Fasano
- Edmond J. Safra Program in Parkinson's Disease, Morton and Gloria Shulman Movement Disorders Clinic, Toronto Western Hospital, UHN, Toronto, Ontario, Canada
- Division of Neurology, University of Toronto, Toronto, Ontario, Canada
- Krembil Brain Institute, Toronto, Ontario, Canada
- Center for Advancing Neurotechnological Innovation to Application (CRANIA), Toronto, ON, Canada
| | - Mark Hallett
- Human Motor Control Section, National Institute of Neurological Disorders and Stroke, NIH, Bethesda, MD, USA
| | - Alfredo Berardelli
- Department of Human Neurosciences, Sapienza University of Rome, Italy
- IRCCS Neuromed, Pozzilli (IS), Italy
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14
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Drucker JH, Sathian K, Crosson B, Krishnamurthy V, McGregor KM, Bozzorg A, Gopinath K, Krishnamurthy LC, Wolf SL, Hart AR, Evatt M, Corcos DM, Hackney ME. Internally Guided Lower Limb Movement Recruits Compensatory Cerebellar Activity in People With Parkinson's Disease. Front Neurol 2019; 10:537. [PMID: 31231297 PMCID: PMC6566131 DOI: 10.3389/fneur.2019.00537] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2018] [Accepted: 05/03/2019] [Indexed: 11/14/2022] Open
Abstract
Background: Externally guided (EG) and internally guided (IG) movements are postulated to recruit two parallel neural circuits, in which motor cortical neurons interact with either the cerebellum or striatum via distinct thalamic nuclei. Research suggests EG movements rely more heavily on the cerebello-thalamo-cortical circuit, whereas IG movements rely more on the striato-pallido-thalamo-cortical circuit (1). Because Parkinson's (PD) involves striatal dysfunction, individuals with PD have difficulty generating IG movements (2). Objectives: Determine whether individuals with PD would employ a compensatory mechanism favoring the cerebellum over the striatum during IG lower limb movements. Methods: 22 older adults with mild-moderate PD, who had abstained at least 12 h from anti-PD medications, and 19 age-matched controls performed EG and IG rhythmic foot-tapping during functional magnetic resonance imaging. Participants with PD tapped with their right (more affected) foot. External guidance was paced by a researcher tapping participants' ipsilateral 3rd metacarpal in a pattern with 0.5 to 1 s intervals, while internal guidance was based on pre-scan training in the same pattern. BOLD activation was compared between tasks (EG vs. IG) and groups (PD vs. control). Results: Both groups recruited the putamen and cerebellar regions. The PD group demonstrated less activation in the striatum and motor cortex than controls. A task (EG vs. IG) by group (PD vs. control) interaction was observed in the cerebellum with increased activation for the IG condition in the PD group. Conclusions: These findings support the hypothesized compensatory shift in which the dysfunctional striatum is assisted by the less affected cerebellum to accomplish IG lower limb movement in individuals with mild-moderate PD. These findings are of relevance for temporal gait dysfunction and freezing of gait problems frequently noted in many people with PD and may have implications for future therapeutic application.
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Affiliation(s)
- Jonathan H Drucker
- Atlanta VA Center for Visual and Neurocognitive Rehabilitation, Decatur, GA, United States.,Department of Neurology, School of Medicine, Emory University, Atlanta, GA, United States
| | - K Sathian
- Atlanta VA Center for Visual and Neurocognitive Rehabilitation, Decatur, GA, United States.,Department of Neurology, School of Medicine, Emory University, Atlanta, GA, United States.,Departments of Neurology, Neural and Behavioral Sciences, and Psychology, Pennsylvania State University, Hershey, PA, United States
| | - Bruce Crosson
- Atlanta VA Center for Visual and Neurocognitive Rehabilitation, Decatur, GA, United States.,Department of Neurology, School of Medicine, Emory University, Atlanta, GA, United States.,Department of Psychology, Georgia State University, Atlanta, GA, United States.,Health and Rehabilitation Science, University of Queensland, Brisbane, QLD, Australia
| | - Venkatagiri Krishnamurthy
- Atlanta VA Center for Visual and Neurocognitive Rehabilitation, Decatur, GA, United States.,Department of Neurology, School of Medicine, Emory University, Atlanta, GA, United States
| | - Keith M McGregor
- Atlanta VA Center for Visual and Neurocognitive Rehabilitation, Decatur, GA, United States.,Department of Neurology, School of Medicine, Emory University, Atlanta, GA, United States
| | - Ariyana Bozzorg
- Atlanta VA Center for Visual and Neurocognitive Rehabilitation, Decatur, GA, United States
| | - Kaundinya Gopinath
- Department of Radiology and Imaging Sciences, Emory University, Atlanta, GA, United States
| | - Lisa C Krishnamurthy
- Atlanta VA Center for Visual and Neurocognitive Rehabilitation, Decatur, GA, United States.,Department of Physics and Astronomy, Georgia State University, Atlanta, GA, United States
| | - Steven L Wolf
- Atlanta VA Center for Visual and Neurocognitive Rehabilitation, Decatur, GA, United States.,Division of Physical Therapy, Department of Rehabilitation Medicine, School of Medicine, Emory University, Atlanta, GA, United States.,Department of Cell Biology, School of Medicine, Emory University, Atlanta, GA, United States.,Division of General Medicine and Geriatrics, Department of Medicine, School of Medicine, Emory University, Atlanta, GA, United States
| | - Ariel R Hart
- Division of General Medicine and Geriatrics, Department of Medicine, School of Medicine, Emory University, Atlanta, GA, United States
| | - Marian Evatt
- Department of Neurology, School of Medicine, Emory University, Atlanta, GA, United States
| | - Daniel M Corcos
- Physical Therapy and Human Movement Sciences, Northwestern University, Chicago, IL, United States
| | - Madeleine E Hackney
- Atlanta VA Center for Visual and Neurocognitive Rehabilitation, Decatur, GA, United States.,Division of Physical Therapy, Department of Rehabilitation Medicine, School of Medicine, Emory University, Atlanta, GA, United States.,Division of General Medicine and Geriatrics, Department of Medicine, School of Medicine, Emory University, Atlanta, GA, United States
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15
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The influence of one session of low frequency rTMS on pre-supplementary motor area metabolites in late stage Parkinson's disease. Clin Neurophysiol 2019; 130:1292-1298. [PMID: 31176928 DOI: 10.1016/j.clinph.2019.04.720] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2018] [Revised: 03/29/2019] [Accepted: 04/27/2019] [Indexed: 11/23/2022]
Abstract
OBJECTIVE To study the effect of Low Frequency repetitive Transcranial Magnetic Stimulation (LF rTMS) on brain metabolites in late stage Parkinson's disease (PD) patients (disease duration at least 4 years and Hoehn and Yahr (1969) score at least 2 in OFF). Several neuroimaging data support a role for pre-Supplementary Motor Area (pre-SMA) involvement in the pathogenesis of Parkinson's disease. Proton magnetic resonance spectroscopy (1H-MRS) measures in vivo metabolites, but results in PD brain remain conflicting and little is known of the effect of LF rTMS thereupon. METHODS We investigate the neurochemical profile of the right pre-SMA in 17 late stage PD patients (11 male and 6 female, mean age of 71 years) before and after one session of sham controlled 1 Hz rTMS (1000 pulses, 16 minutes), focusing on the tNAA/tCr and tCho/tCr ratios. RESULTS The tNAA/tCr ratio was unaffected by one session of LF rTMS. We did observe a significant effect of real LF rTMS on the tCho/tCr ratio, inversely correlated with disease duration, and not related to the presence of dyskinesias. As expected, one session of LF rTMS did not affect clinical outcome. CONCLUSIONS LF rTMS at the right pre-SMA in late stage Parkinson's disease patients does not alter tNAA/tCr, but influences tCho/tCr ratio, in particular in patients with shorter disease duration. SIGNIFICANCE Pre-SMA LF rTMS seems to influence membrane turnover, more importantly in patients with shorter disease duration. Larger LF rTMS treatment studies applying multiple sessions are needed.
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16
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Zhurakovskaya E, Leikas J, Pirttimäki T, Casas Mon F, Gynther M, Aliev R, Rantamäki T, Tanila H, Forsberg MM, Gröhn O, Paasonen J, Jalkanen AJ. Sleep-State Dependent Alterations in Brain Functional Connectivity under Urethane Anesthesia in a Rat Model of Early-Stage Parkinson's Disease. eNeuro 2019; 6:ENEURO.0456-18.2019. [PMID: 30838323 PMCID: PMC6399428 DOI: 10.1523/eneuro.0456-18.2019] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2018] [Revised: 01/15/2019] [Accepted: 01/15/2019] [Indexed: 02/07/2023] Open
Abstract
Parkinson's disease (PD) is characterized by the gradual degeneration of dopaminergic neurons in the substantia nigra, leading to striatal dopamine depletion. A partial unilateral striatal 6-hydroxydopamine (6-OHDA) lesion causes 40-60% dopamine depletion in the lesioned rat striatum, modeling the early stage of PD. In this study, we explored the connectivity between the brain regions in partially 6-OHDA lesioned male Wistar rats under urethane anesthesia using functional magnetic resonance imaging (fMRI) at 5 weeks after the 6-OHDA infusion. Under urethane anesthesia, the brain fluctuates between the two states, resembling rapid eye movement (REM) and non-REM sleep states. We observed clear urethane-induced sleep-like states in 8/19 lesioned animals and 8/18 control animals. 6-OHDA lesioned animals exhibited significantly lower functional connectivity between the brain regions. However, we observed these differences only during the REM-like sleep state, suggesting the involvement of the nigrostriatal dopaminergic pathway in REM sleep regulation. Corticocortical and corticostriatal connections were decreased in both hemispheres, reflecting the global effect of the lesion. Overall, this study describes a promising model to study PD-related sleep disorders in rats using fMRI.
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Affiliation(s)
- Ekaterina Zhurakovskaya
- A. I. Virtanen Institute for Molecular Sciences, University of Eastern Finland, Kuopio, FI-70211, Finland
| | - Juuso Leikas
- School of Pharmacy, University of Eastern Finland, Kuopio, FI-70211, Finland
| | - Tiina Pirttimäki
- A. I. Virtanen Institute for Molecular Sciences, University of Eastern Finland, Kuopio, FI-70211, Finland
| | - Francesc Casas Mon
- School of Pharmacy, University of Eastern Finland, Kuopio, FI-70211, Finland
| | - Mikko Gynther
- School of Pharmacy, University of Eastern Finland, Kuopio, FI-70211, Finland
| | - Rubin Aliev
- Moscow Institute of Physics and Technology, 117303, Moscow, Russia
- Institute of Theoretical and Experimental Biophysics, 142292, Puschino, Russia
| | - Tomi Rantamäki
- Laboratory of Neurotherapeutics, Division of Pharmacology and Pharmacotherapeutics, Faculty of Pharmacy, University of Helsinki, Helsinki, FI-00790, Finland
| | - Heikki Tanila
- A. I. Virtanen Institute for Molecular Sciences, University of Eastern Finland, Kuopio, FI-70211, Finland
| | - Markus M. Forsberg
- School of Pharmacy, University of Eastern Finland, Kuopio, FI-70211, Finland
| | - Olli Gröhn
- A. I. Virtanen Institute for Molecular Sciences, University of Eastern Finland, Kuopio, FI-70211, Finland
| | - Jaakko Paasonen
- A. I. Virtanen Institute for Molecular Sciences, University of Eastern Finland, Kuopio, FI-70211, Finland
| | - Aaro J. Jalkanen
- School of Pharmacy, University of Eastern Finland, Kuopio, FI-70211, Finland
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17
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Burciu RG, Vaillancourt DE. Imaging of Motor Cortex Physiology in Parkinson's Disease. Mov Disord 2018; 33:1688-1699. [PMID: 30280416 PMCID: PMC6261674 DOI: 10.1002/mds.102] [Citation(s) in RCA: 53] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2018] [Revised: 06/26/2018] [Accepted: 06/29/2018] [Indexed: 12/13/2022] Open
Abstract
There is abundant evidence that the pathophysiology of Parkinson's disease (PD) is not confined to the nigrostriatal dopaminergic pathway but propagates along the cortico‐basal ganglia‐thalamo‐cortical neural network. A critical node in this functional circuit impacted by PD is the primary motor cortex (M1), which plays a key role in generating neural impulses that regulate movements. The past several decades have lay witness to numerous in vivo neuroimaging techniques that provide a window into the function and structure of M1. A consistent observation from numerous studies is that during voluntary movement, but also at rest, the functional activity of M1 is altered in PD relative to healthy individuals, and it relates to many of the motor signs. Although this abnormal functional activity can be partially restored with acute dopaminergic medication, it continues to deteriorate with disease progression and may predate structural degeneration of M1. The current review discusses the evidence that M1 is fundamental to the pathophysiology of PD, as measured by neuroimaging techniques such as positron emission tomography, single‐photon emission computed tomography, electroencephalography, magnetoencephalography, and functional and structural MRI. Although novel treatments that target the cortex will not cure PD, they could significantly slow down and alter the progressive course of the disease and thus improve clinical care for this degenerative disease. © 2018 The Authors. Movement Disorders published by Wiley Periodicals, Inc. on behalf of International Parkinson and Movement Disorder Society
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Affiliation(s)
- Roxana G Burciu
- Department of Kinesiology and Applied Physiology, University of Delaware, Newark, Delaware, USA
| | - David E Vaillancourt
- Department of Applied Physiology and Kinesiology, University of Florida, Gainesville, Florida, USA.,Department of Neurology, University of Florida, Gainesville, Florida, USA.,Department of Biomedical Engineering, University of Florida, Gainesville, Florida, USA
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18
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de Schipper LJ, Hafkemeijer A, van der Grond J, Marinus J, Henselmans JML, van Hilten JJ. Altered Whole-Brain and Network-Based Functional Connectivity in Parkinson's Disease. Front Neurol 2018; 9:419. [PMID: 29928255 PMCID: PMC5997827 DOI: 10.3389/fneur.2018.00419] [Citation(s) in RCA: 42] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2018] [Accepted: 05/22/2018] [Indexed: 12/17/2022] Open
Abstract
Background: Functional imaging methods, such as resting-state functional magnetic resonance imaging, reflect changes in neural connectivity and may help to assess the widespread consequences of disease-specific network changes in Parkinson's disease. In this study we used a relatively new graph analysis approach in functional imaging: eigenvector centrality mapping. This model-free method, applied to all voxels in the brain, identifies prominent regions in the brain network hierarchy and detects localized differences between patient populations. In other neurological disorders, eigenvector centrality mapping has been linked to changes in functional connectivity in certain nodes of brain networks. Objectives: Examining changes in functional brain connectivity architecture on a whole brain and network level in patients with Parkinson's disease. Methods: Whole brain resting-state functional architecture was studied with a recently introduced graph analysis approach (eigenvector centrality mapping). Functional connectivity was further investigated in relation to eight known resting-state networks. Cross-sectional analyses included group comparison of functional connectivity measures of Parkinson's disease patients (n = 107) with control subjects (n = 58) and correlations with clinical data, including motor and cognitive impairment and a composite measure of predominantly non-dopaminergic symptoms. Results: Eigenvector centrality mapping revealed that frontoparietal regions were more prominent in the whole-brain network function in patients compared to control subjects, while frontal and occipital brain areas were less prominent in patients. Using standard resting-state networks, we found predominantly increased functional connectivity, namely within sensorimotor system and visual networks in patients. Regional group differences in functional connectivity of both techniques between patients and control subjects partly overlapped for highly connected posterior brain regions, in particular in the posterior cingulate cortex and precuneus. Clinico-functional imaging relations were not found. Conclusions: Changes on the level of functional brain connectivity architecture might provide a different perspective of pathological consequences of Parkinson's disease. The involvement of specific, highly connected (hub) brain regions may influence whole brain functional network architecture in Parkinson's disease.
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Affiliation(s)
- Laura J de Schipper
- Department of Neurology, Leiden University Medical Center, Leiden, Netherlands
| | - Anne Hafkemeijer
- Department of Radiology, Leiden University Medical Center, Leiden, Netherlands.,Department of Methodology and Statistics, Institute of Psychology, Leiden University, Leiden, Netherlands.,Leiden Institute for Brain and Cognition, Leiden University, Leiden, Netherlands
| | | | - Johan Marinus
- Department of Neurology, Leiden University Medical Center, Leiden, Netherlands
| | - Johanna M L Henselmans
- Department of Neurology, Leiden University Medical Center, Leiden, Netherlands.,Department of Neurology, Antonius Hospital, Woerden, Netherlands
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19
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Altered praxis network underlying limb kinetic apraxia in Parkinson's disease - an fMRI study. NEUROIMAGE-CLINICAL 2017; 16:88-97. [PMID: 28765808 PMCID: PMC5527158 DOI: 10.1016/j.nicl.2017.07.007] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/15/2017] [Revised: 06/19/2017] [Accepted: 07/12/2017] [Indexed: 11/20/2022]
Abstract
Parkinson's disease (PD) patients frequently suffer from dexterous deficits impeding activities of daily living. There is controversy whether impaired fine motor skill may stem from limb kinetic apraxia (LKA) rather than bradykinesia. Based on classical models of limb praxis LKA is thought to result when premotor transmission of time-space information of skilled movements to primary motor representations is interrupted. Therefore, using functional magnetic resonance imaging (fMRI) we tested the hypothesis that dexterous deficits in PD are associated with altered activity and connectivity in left parieto-premotor praxis network. Whole-brain analysis of fMRI activity during a task for LKA (coin rotation) showed increased activation of superior and inferior parietal lobule (SPL, IPL) and ventral premotor cortex (vPM) in PD patients compared to controls. For bradykinesia (assessed by finger tapping) a decreased fMRI activity could be detected in patients. Additionally, psychophysical interaction analysis showed increased functional connectivity between IPL and the posterior hippocampi in patients with PD. By contrast, functional connectivity to the right dorsolateral prefrontal cortex was decreased in patients with PD compared to controls. In conclusion, our data demonstrates that dexterous deficits in PD were associated with enhanced fMRI activation of the left praxis network upstream to primary motor areas, mirroring a neural correlate for the behavioral dissociation of LKA and bradykinesia. Furthermore, the findings suggest that patients recruit temporal areas of motor memory as an attempt to compensate for impaired motor skills. Finally, dysexecutive function may contribute to the deficit. Impaired dexterity is related to a defective praxis network in PD. The findings support the concept of an underlying limb kinetic apraxia. Recruitment of temporal areas may reflect compensatory recall of motor engrams. Dysexecutive control in PD may contribute to impaired motor skill.
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20
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Tuite P. Brain Magnetic Resonance Imaging (MRI) as a Potential Biomarker for Parkinson's Disease (PD). Brain Sci 2017; 7:E68. [PMID: 28621758 PMCID: PMC5483641 DOI: 10.3390/brainsci7060068] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2017] [Revised: 06/09/2017] [Accepted: 06/13/2017] [Indexed: 12/14/2022] Open
Abstract
Magnetic resonance imaging (MRI) has the potential to serve as a biomarker for Parkinson's disease (PD). However, the type or types of biomarker it could provide remain to be determined. At this time there is not sufficient sensitivity or specificity for MRI to serve as an early diagnostic biomarker, i.e., it is unproven in its ability to determine if a single individual is normal, has mild PD, or has some other forms of degenerative parkinsonism. However there is accumulating evidence that MRI may be useful in staging and monitoring disease progression (staging biomarker), and also possibly as a means to monitor pathophysiological aspects of disease and associated response to treatments, i.e., theranostic marker. As there are increasing numbers of manuscripts that are dedicated to diffusion- and neuromelanin-based imaging methods, this review will focus on these topics cursorily and will delve into pharmacodynamic imaging as a means to get at theranostic aspects of PD.
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Affiliation(s)
- Paul Tuite
- Neurology Department, University of Minnesota, MMC 295, 420 Delaware St SE, Minneapolis, MN 55455, USA.
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21
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Mohl B, Berman BD, Shelton E, Tanabe J. Levodopa response differs in Parkinson's motor subtypes: A task-based effective connectivity study. J Comp Neurol 2017; 525:2192-2201. [PMID: 28256710 PMCID: PMC6301039 DOI: 10.1002/cne.24197] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2016] [Revised: 02/06/2017] [Accepted: 02/08/2017] [Indexed: 11/08/2022]
Abstract
Parkinson's disease (PD) is a circuit-level disorder with clinically-determined motor subtypes. Despite evidence suggesting each subtype may have different pathophysiology, few neuroimaging studies have examined levodopa-induced differences in neural activation between tremor dominant (TD) and postural instability/gait difficulty (PIGD) subtype patients during a motor task. The goal of this functional MRI (fMRI) study was to examine task-induced activation and connectivity in the cortico-striatal-thalamo-cortical motor circuit in healthy controls, TD patients, and PIGD patients before and after levodopa administration. Fourteen TD and 12 PIGD cognitively-intact patients and 21 age- and sex-matched healthy controls completed a right-hand, paced tapping fMRI paradigm. Collectively, PD patients off medication (OFF) showed hypoactivation of the motor cortex relative to healthy controls, even when controlling for performance. After levodopa intake, the PIGD patients had significantly increased activation in the left putamen compared with TD patients and healthy controls. Psychophysiological interaction analysis revealed that levodopa increased effective connectivity between the posterior putamen and other areas of the motor circuit during tapping in TD patients, but not in PIGD patients. This novel, levodopa-induced difference in the neural responses between PD motor subtypes may have significant implications for elucidating the mechanisms underlying the distinct phenotypic manifestations and enabling the classification of motor subtypes objectively using fMRI.
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Affiliation(s)
- Brianne Mohl
- Departments of Radiology, University of Colorado Anschutz Medical Campus, Aurora, CO, 80045, USA
| | - Brian D Berman
- Departments of Radiology, University of Colorado Anschutz Medical Campus, Aurora, CO, 80045, USA
- Departments of Neurology, University of Colorado Anschutz Medical Campus, Aurora, CO, 80045, USA
- Departments of Psychiatry, University of Colorado Anschutz Medical Campus, Aurora, CO, 80045, USA
- Departments of Neurology Section, Denver VA Medical Center, Denver, CO USA
| | - Erika Shelton
- Departments of Neurology, University of Colorado Anschutz Medical Campus, Aurora, CO, 80045, USA
| | - Jody Tanabe
- Departments of Radiology, University of Colorado Anschutz Medical Campus, Aurora, CO, 80045, USA
- Departments of Neurology, University of Colorado Anschutz Medical Campus, Aurora, CO, 80045, USA
- Departments of Psychiatry, University of Colorado Anschutz Medical Campus, Aurora, CO, 80045, USA
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22
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Tahmasian M, Eickhoff SB, Giehl K, Schwartz F, Herz DM, Drzezga A, van Eimeren T, Laird AR, Fox PT, Khazaie H, Zarei M, Eggers C, Eickhoff CR. Resting-state functional reorganization in Parkinson's disease: An activation likelihood estimation meta-analysis. Cortex 2017; 92:119-138. [PMID: 28467917 DOI: 10.1016/j.cortex.2017.03.016] [Citation(s) in RCA: 90] [Impact Index Per Article: 12.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2016] [Revised: 01/15/2017] [Accepted: 03/31/2017] [Indexed: 12/21/2022]
Abstract
Parkinson's disease (PD) is a common progressive neurodegenerative disorder. Studies using resting-state functional magnetic resonance imaging (fMRI) to investigate underlying pathophysiology of motor and non-motor symptoms in PD yielded largely inconsistent results. This quantitative neuroimaging meta-analysis aims to identify consistent abnormal intrinsic functional patterns in PD across studies. We used PubMed to retrieve suitable resting-state studies and stereotactic data were extracted from 28 individual between-group comparisons. Convergence across their findings was tested using the activation likelihood estimation (ALE) approach. We found convergent evidence for intrinsic functional disturbances in bilateral inferior parietal lobule (IPL) and the supramarginal gyrus in PD patients compared to healthy subjects. In follow-up task-based and task-independent functional connectivity (FC) analyses using two independent healthy subject data sets, we found that the regions showing convergent aberrations in PD formed an interconnected network mainly with the default mode network (DMN). Behavioral characterization of these regions using the BrainMap database suggested associated dysfunction of perception and executive processes. Taken together, our findings highlight the role of parietal cortex in the pathophysiology of PD.
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Affiliation(s)
- Masoud Tahmasian
- Department of Neurology, University Hospital Cologne, Germany; Department of Nuclear Medicine, University Hospital Cologne, Cologne, Germany; Institute of Medical Sciences and Technology, Shahid Beheshti University, Tehran, Iran; Sleep Disorders Research Center, Kermanshah University of Medical Sciences (KUMS), Kermanshah, Iran.
| | - Simon B Eickhoff
- Institute of Clinical Neuroscience & Medical Psychology, Heinrich Heine University Düsseldorf, Düsseldorf, Germany; Institute for Systems Neuroscience, Medical Faculty, Heinrich-Heine University Düsseldorf, Germany; Institute of Neuroscience and Medicine (INM-1, INM-7), Research Center Jülich, Jülich, Germany
| | - Kathrin Giehl
- Department of Nuclear Medicine, University Hospital Cologne, Cologne, Germany
| | - Frank Schwartz
- Department of Neurology, University Hospital Cologne, Germany
| | - Damian M Herz
- Medical Research Council Brain Network Dynamics Unit at the University of Oxford, Oxford, United Kingdom; Nuffield Department of Clinical Neurosciences, University of Oxford, John Radcliffe Hospital, Oxford, United Kingdom
| | - Alexander Drzezga
- Department of Nuclear Medicine, University Hospital Cologne, Cologne, Germany
| | - Thilo van Eimeren
- Department of Neurology, University Hospital Cologne, Germany; Department of Nuclear Medicine, University Hospital Cologne, Cologne, Germany
| | - Angela R Laird
- Department of Physics, Florida International University, Miami, FL, USA
| | - Peter T Fox
- Research Imaging Institute, University of Texas Health Science Center, San Antonio, TX, USA; South Texas Veterans Health Care System, San Antonio, TX, USA
| | - Habibolah Khazaie
- Sleep Disorders Research Center, Kermanshah University of Medical Sciences (KUMS), Kermanshah, Iran
| | - Mojtaba Zarei
- Institute of Medical Sciences and Technology, Shahid Beheshti University, Tehran, Iran; School of Cognitive Sciences, Institute for Research in Fundamental Sciences (IPM), Tehran, Iran
| | - Carsten Eggers
- Department of Neurology, University Hospital Cologne, Germany; Department of Neurology, Phillips University Marburg, Germany
| | - Claudia R Eickhoff
- Institute for Systems Neuroscience, Medical Faculty, Heinrich-Heine University Düsseldorf, Germany; Department of Psychiatry, Psychotherapy, and Psychosomatics, RWTH Aachen University, Aachen, Germany
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23
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Evaluation of Knee Proprioception and Factors Related to Parkinson's Disease. NEUROSCIENCE JOURNAL 2016; 2016:6746010. [PMID: 27672650 PMCID: PMC5031852 DOI: 10.1155/2016/6746010] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/27/2016] [Accepted: 08/21/2016] [Indexed: 11/17/2022]
Abstract
Background. Changes in proprioception may contribute to postural instability in individuals with neurological disorders. Objectives. Evaluate proprioception in the lower limbs of patients with Parkinson's disease (PD) and the association between proprioception and cognitive ability, motor symptoms, postural instability, and disease severity. Methods. This is a cross-sectional, controlled study that evaluated proprioception in PD patients and healthy age- and sex-matched individuals. Kinetic postural proprioception of the knee was evaluated using an isokinetic dynamometer (Biodex® Multi-Joint System 4 Pro). Participants were evaluated using the Montreal Cognitive Assessment (MoCA), the Hoehn and Yahr rating scale and postural instability (pull test and stabilometric analysis), and motor function (UPDRS-III) tests. Results. A total of 40 individuals were enrolled in the study: 20 PD patients and 20 healthy controls (CG). The PD patients had higher angular errors on the proprioceptive ratings than the CG participants (p = 0.002). Oscillations of the center of pressure (p = 0.002) were higher in individuals with PD than in the controls. Proprioceptive errors in the PD patients were associated with the presence of tremors as the dominant symptom and more impaired motor performance. Conclusion. These findings show that individuals with PD have proprioceptive deficits, which are related to decreased cognitive ability and impaired motor symptoms.
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24
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Mak MKY, Cheung V, Ma S, Lu ZL, Wang D, Lou W, Shi L, Mok VCT, Chu WCW, Hallett M. Increased Cognitive Control During Execution of Finger Tap Movement in People with Parkinson's Disease. JOURNAL OF PARKINSONS DISEASE 2016; 6:639-50. [PMID: 27372216 DOI: 10.3233/jpd-160849] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
BACKGROUND Previous studies employed demanding and complex hand tasks to study the brain activation in people with Parkinson's Disease (PD). There is inconsistent finding about the cerebellar activity during movement execution of this patient population. OBJECTIVES This study aimed to examine the brain activation patterns of PD individuals in the on-state and healthy control subjects in a simple finger tapping task. METHODS Twenty-seven patients with PD and 22 age-matched healthy subjects were recruited for the study. Subjects were instructed to perform simple finger tapping tasks under self- and cue-initiated conditions in separate runs while their brain activations were captured using fMRI. RESULTS Healthy subjects had higher brain activity in contralateral precentral gyrus during the self-initiated task, and higher brain activity in the ipsilateral middle occipital gyrus during the cue-initiated task. PD patients had higher brain activity in the cerebellum Crus I (bilateral) and lobules VI (ipsilateral) during the self-initiated task and higher brain activity in the contralateral middle frontal gyrus during the cue-initiated task. When compared with healthy controls, PD patients had lower brain activity in the contralateral inferior parietal lobule during the self-initiated task, and lower brain activity in the ipsilateral cerebellum lobule VIII, lobule VIIB and vermis VIII, and thalamus during the cue-initiated task. Conjunction analysis indicated that both groups had activation in bilateral cerebellum and SMA and ipsilateral precentral gyrus and postcentral gyrus during both self- and cue-initiated movement. Individuals with PD exhibited higher brain activity in the executive zone (cerebellum Crus I and II) during self-initiated movement, and lower brain activity in the sensorimotor zone (i.e. lobule VIIb and VIII of the cerebellum) during cue-initiated movement. DISCUSSIONS The findings suggest that individuals with PD may use more executive control when performing simple movements.
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Affiliation(s)
- Margaret K Y Mak
- Department of Rehabilitation Sciences, The Hong Kong Polytechnic University, Hong Kong
| | - Vinci Cheung
- Department of Counselling & Psychology, Shue Yan University, Hong Kong
| | - Shuangye Ma
- Department of Rehabilitation Sciences, The Hong Kong Polytechnic University, Hong Kong
| | - Zhong L Lu
- Center for Cognitive and Behavioral Brain Imaging, Department of Psychology, The Ohio State University, Columbus, OH, USA
| | - Defeng Wang
- Department of Imaging and Interventional Radiology, The Chinese University of Hong Kong, Hong Kong
| | - Wutao Lou
- Department of Imaging and Interventional Radiology, The Chinese University of Hong Kong, Hong Kong
| | - Lin Shi
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong
| | - Vincent C T Mok
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong
| | - Winnie C W Chu
- Department of Imaging and Interventional Radiology, The Chinese University of Hong Kong, Hong Kong
| | - Mark Hallett
- Human Motor Control Section, Medical Neurology Branch, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA
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25
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Schwartze M, Kotz SA. Regional Interplay for Temporal Processing in Parkinson's Disease: Possibilities and Challenges. Front Neurol 2016; 6:270. [PMID: 26834692 PMCID: PMC4716137 DOI: 10.3389/fneur.2015.00270] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2015] [Accepted: 12/21/2015] [Indexed: 02/05/2023] Open
Abstract
Parkinson's disease (PD) is primarily associated with two dominant features: cardinal motor symptoms and the loss of cells in the substantia nigra pars compacta of the basal ganglia. Consequently, these aspects are major foci in PD-related research. However, PD is a neurodegenerative disease, which progressively affects multiple brain regions outside the basal ganglia and leads to symptoms outside the motor domain. Much less is known about the individual contribution of these secondary regions, their interplay and interaction with the basal ganglia, and the respective network dynamics in the overall manifestation of PD. These regions include classical motor structures such as the cerebellum and the supplementary motor area (SMA). However, just as the basal ganglia, these regions display a fine-grained microarchitecture, which supports sensory and sensorimotor functions. One such function is temporal processing, which has been ascribed to a network comprising all of these regions. On the one hand, pathological changes in this temporal processing network may be part and parcel of motor and non-motor symptoms in PD. On the other hand, a better understanding of the role of each network node may offer a novel perspective on compensatory mechanisms, therapeutic interventions, as well as the heterogeneity and individual differences associated with PD. We unfold this perspective by relating the neural foundations and functional implications of temporal processing to pathophysiological and neurofunctional changes characteristic of PD.
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Affiliation(s)
- Michael Schwartze
- Department of Neuropsychology and Psychopharmacology, Faculty of Psychology and Neuroscience, Maastricht University, Maastricht, Netherlands; Department of Neuropsychology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
| | - Sonja A Kotz
- Department of Neuropsychology and Psychopharmacology, Faculty of Psychology and Neuroscience, Maastricht University, Maastricht, Netherlands; Department of Neuropsychology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
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26
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Hackney ME, Lee HL, Battisto J, Crosson B, McGregor KM. Context-Dependent Neural Activation: Internally and Externally Guided Rhythmic Lower Limb Movement in Individuals With and Without Neurodegenerative Disease. Front Neurol 2015; 6:251. [PMID: 26696952 PMCID: PMC4667008 DOI: 10.3389/fneur.2015.00251] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2015] [Accepted: 11/16/2015] [Indexed: 12/24/2022] Open
Abstract
Parkinson’s disease is a neurodegenerative disorder that has received considerable attention in allopathic medicine over the past decades. However, it is clear that, to date, pharmacological and surgical interventions do not fully address symptoms of PD and patients’ quality of life. As both an alternative therapy and as an adjuvant to conventional approaches, several types of rhythmic movement (e.g., movement strategies, dance, tandem biking, and Tai Chi) have shown improvements to motor symptoms, lower limb control, and postural stability in people with PD (1–6). However, while these programs are increasing in number, still little is known about the neural mechanisms underlying motor improvements attained with such interventions. Studying limb motor control under task-specific contexts can help determine the mechanisms of rehabilitation effectiveness. Both internally guided (IG) and externally guided (EG) movement strategies have evidence to support their use in rehabilitative programs. However, there appears to be a degree of differentiation in the neural substrates involved in IG vs. EG designs. Because of the potential task-specific benefits of rhythmic training within a rehabilitative context, this report will consider the use of IG and EG movement strategies, and observations produced by functional magnetic resonance imaging and other imaging techniques. This review will present findings from lower limb imaging studies, under IG and EG conditions for populations with and without movement disorders. We will discuss how these studies might inform movement disorders rehabilitation (in the form of rhythmic, music-based movement training) and highlight research gaps. We believe better understanding of lower limb neural activity with respect to PD impairment during rhythmic IG and EG movement will facilitate the development of novel and effective therapeutic approaches to mobility limitations and postural instability.
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Affiliation(s)
- Madeleine E Hackney
- Atlanta VA Center for Visual and Neurocognitive Rehabilitation , Decatur, GA , USA ; Division of General Medicine and Geriatrics, Department of Medicine, Emory School of Medicine , Atlanta, GA , USA
| | - Ho Lim Lee
- Emory College of Arts and Sciences, Emory University , Atlanta, GA , USA
| | - Jessica Battisto
- Emory College of Arts and Sciences, Emory University , Atlanta, GA , USA
| | - Bruce Crosson
- Atlanta VA Center for Visual and Neurocognitive Rehabilitation , Decatur, GA , USA ; Department of Neurology, Emory School of Medicine , Atlanta, GA , USA
| | - Keith M McGregor
- Atlanta VA Center for Visual and Neurocognitive Rehabilitation , Decatur, GA , USA ; Department of Neurology, Emory School of Medicine , Atlanta, GA , USA
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27
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Schiavio A, Altenmüller E. Exploring Music-Based Rehabilitation for Parkinsonism through Embodied Cognitive Science. Front Neurol 2015; 6:217. [PMID: 26539155 PMCID: PMC4609849 DOI: 10.3389/fneur.2015.00217] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2015] [Accepted: 09/26/2015] [Indexed: 11/25/2022] Open
Abstract
Recent embodied approaches in cognitive sciences emphasize the constitutive roles of bodies and environment in driving cognitive processes. Cognition is thus seen as a distributed system based on the continuous interaction of bodies, brains, and environment. These categories, moreover, do not relate only causally, through a sequential input-output network of computations; rather, they are dynamically enfolded in each other, being mutually implemented by the concrete patterns of actions adopted by the cognitive system. However, while this claim has been widely discussed across various disciplines, its relevance and potential beneficial applications for music therapy remain largely unexplored. With this in mind, we provide here an overview of the embodied approaches to cognition, discussing their main tenets through the lenses of music therapy. In doing so, we question established methodological and theoretical paradigms and identify possible novel strategies for intervention. In particular, we refer to the music-based rehabilitative protocols adopted for Parkinson's disease patients. Indeed, in this context, it has recently been observed that music therapy not only affects movement-related skills but that it also contributes to stabilizing physiological functions and improving socio-affective behaviors. We argue that these phenomena involve previously unconsidered aspects of cognition and (motor) behavior, which are rooted in the action-perception cycle characterizing the whole living system.
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Affiliation(s)
- Andrea Schiavio
- School of Music, The Ohio State University, Columbus, OH, USA
- Department of Music, The University of Sheffield, Sheffield, UK
| | - Eckart Altenmüller
- Institute of Music Physiology and Musician’s Medicine, University of Music, Drama and Media Hannover, Hannover, Germany
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28
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Vadalà M, Vallelunga A, Palmieri L, Palmieri B, Morales-Medina JC, Iannitti T. Mechanisms and therapeutic applications of electromagnetic therapy in Parkinson's disease. BEHAVIORAL AND BRAIN FUNCTIONS : BBF 2015; 11:26. [PMID: 26347217 PMCID: PMC4562205 DOI: 10.1186/s12993-015-0070-z] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 01/05/2015] [Accepted: 07/22/2015] [Indexed: 12/04/2022]
Abstract
Electromagnetic therapy is a non-invasive and safe approach for the management of several pathological conditions including neurodegenerative diseases. Parkinson's disease is a neurodegenerative pathology caused by abnormal degeneration of dopaminergic neurons in the ventral tegmental area and substantia nigra pars compacta in the midbrain resulting in damage to the basal ganglia. Electromagnetic therapy has been extensively used in the clinical setting in the form of transcranial magnetic stimulation, repetitive transcranial magnetic stimulation, high-frequency transcranial magnetic stimulation and pulsed electromagnetic field therapy which can also be used in the domestic setting. In this review, we discuss the mechanisms and therapeutic applications of electromagnetic therapy to alleviate motor and non-motor deficits that characterize Parkinson's disease.
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Affiliation(s)
- Maria Vadalà
- Department of General Surgery and Surgical Specialties, University of Modena and Reggio Emilia Medical School, Surgical Clinic, Modena, Italy.
| | - Annamaria Vallelunga
- Department of Medicine and Surgery, Centre for Neurodegenerative Diseases (CEMAND), University of Salerno, Salerno, Italy.
| | - Lucia Palmieri
- Department of Nephrology, University of Modena and Reggio Emilia Medical School, Surgical Clinic, Modena, Italy.
| | - Beniamino Palmieri
- Department of General Surgery and Surgical Specialties, University of Modena and Reggio Emilia Medical School, Surgical Clinic, Modena, Italy.
| | - Julio Cesar Morales-Medina
- Centro de Investigación en Reproducción Animal, CINVESTAV-Universidad Autónoma de Tlaxcala, Tlaxcala, Mexico.
| | - Tommaso Iannitti
- Department of Neuroscience, Sheffield Institute for Translational Neuroscience (SITraN), University of Sheffield, Sheffield, UK.
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Impact of Parkinson's disease on proprioceptively based on-line movement control. Exp Brain Res 2015; 233:2707-21. [PMID: 26055990 DOI: 10.1007/s00221-015-4343-4] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2014] [Accepted: 05/27/2015] [Indexed: 10/23/2022]
Abstract
Evidence suggests that Parkinson's disease (PD) patients produce large spatial errors when reaching to proprioceptively defined targets. Here, we examined whether these movement inaccuracies result mainly from impaired use of proprioceptive inputs for movement planning mechanisms or from on-line movement guidance. Medicated and non-medicated PD patients and healthy controls performed three-dimensional reaching movements in four sensorimotor conditions that increase proprioceptive processing requirements. We assessed the influence of these sensorimotor conditions on the final accuracy and initial kinematics of the movements. If the patterns of final errors are primarily determined by planning processes before the initiation of the movement, the initial kinematics of reaching movements should show similar trends and predict the pattern of final errors. Medicated and non-medicated PD patients showed a greater mean level of final 3D errors than healthy controls when proprioception was the sole source of information guiding the movement, but this difference reached significance only for medicated PD patients. However, the pattern of initial kinematics and final spatial errors were markedly different both between sensorimotor conditions and between groups. Furthermore, medicated and non-medicated PD patients were less efficient than healthy controls in compensating for their initial spatial errors (hand distance from target location at peak velocity) when aiming at proprioceptively defined compared to visually defined targets. Considered together, the results are consistent with a selective deficit in proprioceptively based movement guidance in PD. Furthermore, dopaminergic medication did not improve proprioceptively guided movements in PD patients, indicating that dopaminergic dysfunction within the basal ganglia is not solely responsible for these deficits.
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Dopamine agonist modifies cortical activity in Parkinson disease: a functional neuroimaging study. Clin Neuropharmacol 2014; 37:166-72. [PMID: 25384074 DOI: 10.1097/wnf.0000000000000052] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
OBJECTIVES To investigate, using functional magnetic resonance imaging, the influence of a long-term dopaminergic therapy on brain activation during a simple motor task in early, previously untreated patients with Parkinson disease. METHODS Thirteen patients with Parkinson disease in Hoehn-Yahr stage 1 or 2, with a right predominance of the disease, underwent functional magnetic resonance imaging during self-paced continuous right-hand tapping before and after 6 months of therapy with ropinirole 15 mg/d. The task was monitored online with a dedicated device, which measures the strength and frequency of the tapping. RESULTS All patients with Parkinson disease on ropinirole treatment showed a clinically significant improvement, and their functional magnetic resonance imaging pattern after treatment showed a reduced activation in the right postcentral (primary sensory-motor area), supramarginal and inferior parietal gyri compared with the activation pattern before treatment. No area of increased activation was observed after therapy. CONCLUSIONS In line with the classical functional deafferentation hypothesis, dopaminergic stimulation should increase motor cortex activity as a result of restoration of the striatocortical loops. On the contrary, our results challenge this hypothesis as we found decreased cerebral activity after a short-term chronic dopaminergic treatment. We suggest that the recruitment of cortical motor circuits aimed to overcome the functional deficit of the striatocortical loops lessens after dopaminergic treatment.
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Sapir S. Multiple factors are involved in the dysarthria associated with Parkinson's disease: a review with implications for clinical practice and research. JOURNAL OF SPEECH, LANGUAGE, AND HEARING RESEARCH : JSLHR 2014; 57:1330-1343. [PMID: 24686571 DOI: 10.1044/2014_jslhr-s-13-0039] [Citation(s) in RCA: 98] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/03/2023]
Abstract
PURPOSE Motor speech abnormalities are highly common and debilitating in individuals with idiopathic Parkinson's disease (IPD). These abnormalities, collectively termed hypokinetic dysarthria (HKD), have been traditionally attributed to hypokinesia and bradykinesia secondary to muscle rigidity and dopamine deficits. However, the role of rigidity and dopamine in the development of HKD is far from clear. The purpose of the present study was to offer an alternative view of the factors underlying HKD. METHOD The authors conducted an extensive, but not exhaustive, review of the literature to examine the evidence for the traditional view versus the alternative view. RESULTS The review suggests that HKD is a highly complex and variable phenomenon including multiple factors, such as scaling and maintaining movement amplitude and effort; preplanning and initiation of movements; internal cueing; sensory and temporal processing; automaticity; emotive vocalization; and attention to action (vocal vigilance). Although not part of the dysarthria, nonmotor factors, such as depression, aging, and cognitive-linguistic abnormalities, are likely to contribute to the overall speech symptomatology associated with IPD. CONCLUSION These findings have important implications for clinical practice and research.
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Etchell AC, Johnson BW, Sowman PF. Behavioral and multimodal neuroimaging evidence for a deficit in brain timing networks in stuttering: a hypothesis and theory. Front Hum Neurosci 2014; 8:467. [PMID: 25009487 PMCID: PMC4070061 DOI: 10.3389/fnhum.2014.00467] [Citation(s) in RCA: 63] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2014] [Accepted: 06/08/2014] [Indexed: 12/17/2022] Open
Abstract
The fluent production of speech requires accurately timed movements. In this article, we propose that a deficit in brain timing networks is one of the core neurophysiological deficits in stuttering. We first discuss the experimental evidence supporting the involvement of the basal ganglia and supplementary motor area (SMA) in stuttering and the involvement of the cerebellum as a possible mechanism for compensating for the neural deficits that underlie stuttering. Next, we outline the involvement of the right inferior frontal gyrus (IFG) as another putative compensatory locus in stuttering and suggest a role for this structure in an expanded core timing-network. Subsequently, we review behavioral studies of timing in people who stutter and examine their behavioral performance as compared to people who do not stutter. Finally, we highlight challenges to existing research and provide avenues for future research with specific hypotheses.
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Affiliation(s)
- Andrew C Etchell
- Department of Cognitive Science, ARC Centre of Excellence in Cognition and its Disorders, Macquarie University Sydney, NSW, Australia ; Department of Cognitive Science, Perception in Action Research Centre, Macquarie University Sydney, NSW, Australia
| | - Blake W Johnson
- Department of Cognitive Science, ARC Centre of Excellence in Cognition and its Disorders, Macquarie University Sydney, NSW, Australia
| | - Paul F Sowman
- Department of Cognitive Science, ARC Centre of Excellence in Cognition and its Disorders, Macquarie University Sydney, NSW, Australia ; Department of Cognitive Science, Perception in Action Research Centre, Macquarie University Sydney, NSW, Australia
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Göttlich M, Münte TF, Heldmann M, Kasten M, Hagenah J, Krämer UM. Altered resting state brain networks in Parkinson's disease. PLoS One 2013; 8:e77336. [PMID: 24204812 PMCID: PMC3810472 DOI: 10.1371/journal.pone.0077336] [Citation(s) in RCA: 177] [Impact Index Per Article: 16.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2013] [Accepted: 08/30/2013] [Indexed: 11/19/2022] Open
Abstract
Parkinson's disease (PD) is a neurodegenerative disorder affecting dopaminergic neurons in the substantia nigra leading to dysfunctional cortico-striato-thalamic-cortical loops. In addition to the characteristic motor symptoms, PD patients often show cognitive impairments, affective changes and other non-motor symptoms, suggesting system-wide effects on brain function. Here, we used functional magnetic resonance imaging and graph-theory based analysis methods to investigate altered whole-brain intrinsic functional connectivity in PD patients (n = 37) compared to healthy controls (n = 20). Global network properties indicated less efficient processing in PD. Analysis of brain network modules pointed to increased connectivity within the sensorimotor network, but decreased interaction of the visual network with other brain modules. We found lower connectivity mainly between the cuneus and the ventral caudate, medial orbitofrontal cortex and the temporal lobe. To identify regions of altered connectivity, we mapped the degree of intrinsic functional connectivity both on ROI- and on voxel-level across the brain. Compared to healthy controls, PD patients showed lower connectedness in the medial and middle orbitofrontal cortex. The degree of connectivity was also decreased in the occipital lobe (cuneus and calcarine), but increased in the superior parietal cortex, posterior cingulate gyrus, supramarginal gyrus and supplementary motor area. Our results on global network and module properties indicated that PD manifests as a disconnection syndrome. This was most apparent in the visual network module. The higher connectedness within the sensorimotor module in PD patients may be related to compensation mechanism in order to overcome the functional deficit of the striato-cortical motor loops or to loss of mutual inhibition between brain networks. Abnormal connectivity in the visual network may be related to adaptation and compensation processes as a consequence of altered motor function. Our analysis approach proved sensitive for detecting disease-related localized effects as well as changes in network functions on intermediate and global scale.
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Affiliation(s)
- Martin Göttlich
- Department of Neurology, University of Lübeck, Lübeck, Germany
| | - Thomas F. Münte
- Department of Neurology, University of Lübeck, Lübeck, Germany
| | - Marcus Heldmann
- Department of Neurology, University of Lübeck, Lübeck, Germany
| | - Meike Kasten
- Department of Psychiatry, University of Lübeck, Lübeck, Germany
| | - Johann Hagenah
- Department of Neurology, University of Lübeck, Lübeck, Germany
- Department of Neurology, Westküstenklinikum Heide, Heide, Germany
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Herz DM, Eickhoff SB, Løkkegaard A, Siebner HR. Functional neuroimaging of motor control in Parkinson's disease: a meta-analysis. Hum Brain Mapp 2013; 35:3227-37. [PMID: 24123553 DOI: 10.1002/hbm.22397] [Citation(s) in RCA: 131] [Impact Index Per Article: 11.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2013] [Revised: 08/07/2013] [Accepted: 08/13/2013] [Indexed: 12/13/2022] Open
Abstract
Functional neuroimaging has been widely used to study the activation patterns of the motor network in patients with Parkinson's disease (PD), but these studies have yielded conflicting results. This meta-analysis of previous neuroimaging studies was performed to identify patterns of abnormal movement-related activation in PD that were consistent across studies. We applied activation likelihood estimation (ALE) of functional neuroimaging studies probing motor function in patients with PD. The meta-analysis encompassed data from 283 patients with PD reported in 24 functional neuroimaging studies and yielded consistent alterations in neural activity in patients with PD. Differences in cortical activation between PD patients and healthy controls converged in a left-lateralized fronto-parietal network comprising the presupplementary motor area, primary motor cortex, inferior parietal cortex, and superior parietal lobule. Both, increases as well as decreases in motor cortical activity, which were related to differences in movement timing and selection in the applied motor tasks, were reported in these cortical areas. In the basal ganglia, PD patients expressed a decrease of motor activation in the posterior motor putamen, which improved with dopaminergic medication. The likelihood of detecting a decrease in putaminal activity increased with motor impairment. This reduced motor activation of the posterior putamen across previous neuroimaging studies indicates that nigrostriatal dopaminergic denervation affects neural processing in the denervated striatal motor territory. In contrast, fronto-parietal motor areas display both increases as well as decreases in movement related activation. This points to a more complex relationship between altered cortical physiology and nigrostriatal dopaminergic denervation in PD.
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Affiliation(s)
- Damian M Herz
- Danish Research Center for Magnetic Resonance, Center for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital Hvidovre, Hvidovre, Denmark
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Nombela C, Hughes LE, Owen AM, Grahn JA. Into the groove: can rhythm influence Parkinson's disease? Neurosci Biobehav Rev 2013; 37:2564-70. [PMID: 24012774 DOI: 10.1016/j.neubiorev.2013.08.003] [Citation(s) in RCA: 189] [Impact Index Per Article: 17.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2012] [Revised: 07/17/2013] [Accepted: 08/07/2013] [Indexed: 12/14/2022]
Abstract
Previous research has noted that music can improve gait in several pathological conditions, including Parkinson's disease, Huntington's disease and stroke. Current research into auditory-motor interactions and the neural bases of musical rhythm perception has provided important insights for developing potential movement therapies. Specifically, neuroimaging studies show that rhythm perception activates structures within key motor networks, such as premotor and supplementary motor areas, basal ganglia and the cerebellum - many of which are compromised to varying degrees in Parkinson's disease. It thus seems likely that automatic engagement of motor areas during rhythm perception may be the connecting link between music and motor improvements in Parkinson's disease. This review seeks to describe the link, address core questions about its underlying mechanisms, and examine whether it can be utilized as a compensatory mechanism.
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Affiliation(s)
- Cristina Nombela
- Clinical Neuroscience Department, Cambridge Centre for Brain Repair, ED Adrian Building, Forvie Site, Robinson Way, Cambridge, CB2 0PY, United Kingdom.
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Choe IH, Yeo S, Chung KC, Kim SH, Lim S. Decreased and increased cerebral regional homogeneity in early Parkinson's disease. Brain Res 2013; 1527:230-7. [DOI: 10.1016/j.brainres.2013.06.027] [Citation(s) in RCA: 43] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2013] [Revised: 05/08/2013] [Accepted: 06/21/2013] [Indexed: 10/26/2022]
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Caproni S, Muti M, Principi M, Ottaviano P, Frondizi D, Capocchi G, Floridi P, Rossi A, Calabresi P, Tambasco N. Complexity of motor sequences and cortical reorganization in Parkinson's disease: a functional MRI study. PLoS One 2013; 8:e66834. [PMID: 23825570 PMCID: PMC3692521 DOI: 10.1371/journal.pone.0066834] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2013] [Accepted: 05/12/2013] [Indexed: 11/19/2022] Open
Abstract
Motor impairment is the most relevant clinical feature in Parkinson's disease (PD). Functional imaging studies on motor impairment in PD have revealed changes in the cortical motor circuits, with particular involvement of the fronto-striatal network. The aim of this study was to assess brain activations during the performance of three different motor exercises, characterized by progressive complexity, using a functional fMRI multiple block paradigm, in PD patients and matched control subjects. Unlike from single-task comparisons, multi-task comparisons between similar exercises allowed to analyse brain areas involved in motor complexity planning and execution. Our results showed that in the single-task comparisons the involvement of primary and secondary motor areas was observed, consistent with previous findings based on similar paradigms. Most notably, in the multi-task comparisons a greater activation of supplementary motor area and posterior parietal cortex in PD patients, compared with controls, was observed. Furthermore, PD patients, compared with controls, had a lower activation of the basal ganglia and limbic structures, presumably leading to the impairment in the higher levels of motor control, including complexity planning and execution. The findings suggest that in PD patients occur both compensatory mechanisms and loss of efficiency and provide further insight into the pathophysiological role of distinct cortical and subcortical areas in motor dysfunction.
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Affiliation(s)
- Stefano Caproni
- Clinica Neurologica, Azienda Ospedaliera - Università di Perugia, Perugia, Italy
| | - Marco Muti
- Servizio di Fisica Sanitaria, Azienda Ospedaliera di Terni, Terni, Italy
| | - Massimo Principi
- Servizio di Neuroradiologia, Azienda Ospedaliera di Terni, Terni, Italy
| | | | | | | | - Piero Floridi
- Servizio di Neuroradiologia, Azienda Ospedaliera di Perugia, Perugia, Italy
| | - Aroldo Rossi
- Clinica Neurologica, Azienda Ospedaliera - Università di Perugia, Perugia, Italy
| | - Paolo Calabresi
- Clinica Neurologica, Azienda Ospedaliera - Università di Perugia, Perugia, Italy
- I.R.C.C.S. – Fondazione S.Lucia – Roma, Italy
| | - Nicola Tambasco
- Clinica Neurologica, Azienda Ospedaliera - Università di Perugia, Perugia, Italy
- * E-mail:
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Repetitive transcranial magnetic stimulation improves handwriting in Parkinson's disease. PARKINSONS DISEASE 2013; 2013:751925. [PMID: 23841021 PMCID: PMC3681307 DOI: 10.1155/2013/751925] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/15/2013] [Accepted: 03/25/2013] [Indexed: 11/17/2022]
Abstract
Background. Parkinson disease (PD) is characterized by hypometric movements resulting from loss of dopaminergic neurons in the substantia nigra. PD leads to decreased activation of the supplementary motor area (SMA); the net result of these changes is a poverty of movement. The present study determined the impact of 5 Hz repetitive transcranial magnetic stimulation (rTMS) over the SMA on a fine motor movement, handwriting (writing cursive “l”s), and on cortical excitability, in individuals with PD. Methods. In a cross-over design, ten individuals with PD were randomized to receive either 5 Hz or control stimulation over the SMA. Immediately following brain stimulation right handed writing was assessed. Results. 5 Hz stimulation increased vertical size of handwriting and diminished axial pressure. In addition, 5 Hz rTMS significantly decreased the threshold for excitability in the primary motor cortex. Conclusions. These data suggest that in the short term 5 Hz rTMS benefits functional fine motor task performance, perhaps by altering cortical excitability across a network of brain regions. Further, these data may provide the foundation for a larger investigation of the effects of noninvasive brain stimulation over the SMA in individuals with PD.
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Rottschy C, Kleiman A, Dogan I, Langner R, Mirzazade S, Kronenbuerger M, Werner C, Shah NJ, Schulz JB, Eickhoff SB, Reetz K. Diminished activation of motor working-memory networks in Parkinson's disease. PLoS One 2013; 8:e61786. [PMID: 23620791 PMCID: PMC3631252 DOI: 10.1371/journal.pone.0061786] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2012] [Accepted: 03/13/2013] [Indexed: 11/19/2022] Open
Abstract
Parkinson's disease (PD) is characterized by typical extrapyramidal motor features and increasingly recognized non-motor symptoms such as working memory (WM) deficits. Using functional magnetic resonance imaging (fMRI), we investigated differences in neuronal activation during a motor WM task in 23 non-demented PD patients and 23 age- and gender-matched healthy controls. Participants had to memorize and retype variably long visuo-spatial stimulus sequences after short or long delays (immediate or delayed serial recall). PD patients showed deficient WM performance compared to controls, which was accompanied by reduced encoding-related activation in WM-related regions. Mirroring slower motor initiation and execution, reduced activation in motor structures such as the basal ganglia and superior parietal cortex was detected for both immediate and delayed recall. Increased activation in limbic, parietal and cerebellar regions was found during delayed recall only. Increased load-related activation for delayed recall was found in the posterior midline and the cerebellum. Overall, our results demonstrate that impairment of WM in PD is primarily associated with a widespread reduction of task-relevant activation, whereas additional parietal, limbic and cerebellar regions become more activated relative to matched controls. While the reduced WM-related activity mirrors the deficient WM performance, the additional recruitment may point to either dysfunctional compensatory strategies or detrimental crosstalk from “default-mode” regions, contributing to the observed impairment.
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Affiliation(s)
- Claudia Rottschy
- Department of Neurology, RWTH Aachen University, Aachen, Germany
- Institute of Neuroscience and Medicine (INM-1, INM-4), Research Center Jülich GmbH, Jülich, Germany
- Jülich Aachen Research Alliance (JARA) – Translational Brain Medicine, Aachen, Germany
- Research Imaging Institute, University of Texas Health Science Center, San Antonio, Texas, United States of America
| | - Alexandra Kleiman
- Department of Neurology, RWTH Aachen University, Aachen, Germany
- Institute of Neuroscience and Medicine (INM-1, INM-4), Research Center Jülich GmbH, Jülich, Germany
- Jülich Aachen Research Alliance (JARA) – Translational Brain Medicine, Aachen, Germany
| | - Imis Dogan
- Department of Neurology, RWTH Aachen University, Aachen, Germany
- Institute of Neuroscience and Medicine (INM-1, INM-4), Research Center Jülich GmbH, Jülich, Germany
- Jülich Aachen Research Alliance (JARA) – Translational Brain Medicine, Aachen, Germany
| | - Robert Langner
- Institute of Neuroscience and Medicine (INM-1, INM-4), Research Center Jülich GmbH, Jülich, Germany
- Institute of Clinical Neuroscience and Medical Psychology, Heinrich Heine University Duesseldorf, Duesseldorf, Germany
| | - Shahram Mirzazade
- Department of Neurology, RWTH Aachen University, Aachen, Germany
- Institute of Neuroscience and Medicine (INM-1, INM-4), Research Center Jülich GmbH, Jülich, Germany
- Jülich Aachen Research Alliance (JARA) – Translational Brain Medicine, Aachen, Germany
| | | | - Cornelius Werner
- Department of Neurology, RWTH Aachen University, Aachen, Germany
- Institute of Neuroscience and Medicine (INM-1, INM-4), Research Center Jülich GmbH, Jülich, Germany
| | - N. Jon Shah
- Department of Neurology, RWTH Aachen University, Aachen, Germany
- Institute of Neuroscience and Medicine (INM-1, INM-4), Research Center Jülich GmbH, Jülich, Germany
- Jülich Aachen Research Alliance (JARA) – Translational Brain Medicine, Aachen, Germany
| | - Jörg B. Schulz
- Department of Neurology, RWTH Aachen University, Aachen, Germany
- Jülich Aachen Research Alliance (JARA) – Translational Brain Medicine, Aachen, Germany
| | - Simon B. Eickhoff
- Institute of Neuroscience and Medicine (INM-1, INM-4), Research Center Jülich GmbH, Jülich, Germany
- Jülich Aachen Research Alliance (JARA) – Translational Brain Medicine, Aachen, Germany
- Institute of Clinical Neuroscience and Medical Psychology, Heinrich Heine University Duesseldorf, Duesseldorf, Germany
- Department of Psychiatry, Psychotherapy and Psychosomatics, RWTH Aachen University, Aachen, Germany
| | - Kathrin Reetz
- Department of Neurology, RWTH Aachen University, Aachen, Germany
- Institute of Neuroscience and Medicine (INM-1, INM-4), Research Center Jülich GmbH, Jülich, Germany
- Jülich Aachen Research Alliance (JARA) – Translational Brain Medicine, Aachen, Germany
- * E-mail:
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Rizzo G, Tonon C, Lodi R. Looking into the brain: How can conventional, morphometric and functional MRI help in diagnosing and understanding PD? ACTA ACUST UNITED AC 2012. [DOI: 10.1016/j.baga.2012.06.001] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/25/2023]
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Jech R, Mueller K, Urgošík D, Sieger T, Holiga Š, Růžička F, Dušek P, Havránková P, Vymazal J, Růžička E. The subthalamic microlesion story in Parkinson's disease: electrode insertion-related motor improvement with relative cortico-subcortical hypoactivation in fMRI. PLoS One 2012; 7:e49056. [PMID: 23145068 PMCID: PMC3492182 DOI: 10.1371/journal.pone.0049056] [Citation(s) in RCA: 52] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2011] [Accepted: 10/08/2012] [Indexed: 11/19/2022] Open
Abstract
Electrode implantation into the subthalamic nucleus for deep brain stimulation in Parkinson's disease (PD) is associated with a temporary motor improvement occurring prior to neurostimulation. We studied this phenomenon by functional magnetic resonance imaging (fMRI) when considering the Unified Parkinson's Disease Rating Scale (UPDRS-III) and collateral oedema. Twelve patients with PD (age 55.9± (SD)6.8 years, PD duration 9-15 years) underwent bilateral electrode implantation into the subthalamic nucleus. The fMRI was carried out after an overnight withdrawal of levodopa (OFF condition): (i) before and (ii) within three days after surgery in absence of neurostimulation. The motor task involved visually triggered finger tapping. The OFF/UPDRS-III score dropped from 33.8±8.7 before to 23.3±4.8 after the surgery (p<0.001), correlating with the postoperative oedema score (p<0.05). During the motor task, bilateral activation of the thalamus and basal ganglia, motor cortex and insula were preoperatively higher than after surgery (p<0.001). The results became more enhanced after compensation for the oedema and UPDRS-III scores. In addition, the rigidity and axial symptoms score correlated inversely with activation of the putamen and globus pallidus (p<0.0001). One month later, the OFF/UPDRS-III score had returned to the preoperative level (35.8±7.0, p = 0.4).In conclusion, motor improvement induced by insertion of an inactive electrode into the subthalamic nucleus caused an acute microlesion which was at least partially related to the collateral oedema and associated with extensive impact on the motor network. This was postoperatively manifested as lowered movement-related activation at the cortical and subcortical levels and differed from the known effects of neurostimulation or levodopa. The motor system finally adapted to the microlesion within one month as suggested by loss of motor improvement and good efficacy of deep brain stimulation.
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Affiliation(s)
- Robert Jech
- Dept. of Neurology and Center of Clinical Neuroscience, Charles University in Prague, 1st Faculty of Medicine and General University Hospital, Prague, Czech Republic.
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Kotz SAE, Schwartze M. Differential input of the supplementary motor area to a dedicated temporal processing network: functional and clinical implications. Front Integr Neurosci 2011; 5:86. [PMID: 22363269 PMCID: PMC3277277 DOI: 10.3389/fnint.2011.00086] [Citation(s) in RCA: 53] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2011] [Accepted: 12/02/2011] [Indexed: 11/30/2022] Open
Affiliation(s)
- Sonja A E Kotz
- Minerva Research Group "Neurocognition of Rhythm in Communication," Max Planck Institute for Human Cognitive and Brain Sciences Leipzig, Germany
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Functional dissociation of pre-SMA and SMA-proper in temporal processing. Neuroimage 2011; 60:290-8. [PMID: 22178297 DOI: 10.1016/j.neuroimage.2011.11.089] [Citation(s) in RCA: 99] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2011] [Revised: 11/28/2011] [Accepted: 11/29/2011] [Indexed: 11/23/2022] Open
Abstract
The ability to assess temporal structure is crucial in order to adapt to an ever-changing environment. Increasing evidence suggests that the supplementary motor area (SMA) is involved in both sensory and sensorimotor processing of temporal structure. However, it is not entirely clear whether the structural differentiation of the SMA translates into functional specialization, and how the SMA relates to other systems that engage in temporal processing, namely the cerebellum and cortico-striatal circuits. Anatomically, the SMA comprises at least two subareas, the rostral pre-SMA and the caudal SMA-proper. Each displays a characteristic pattern of connections to motor and non-motor structures. Crucially, these connections establish a potential hub among cerebellar and cortico-striatal systems, possibly forming a dedicated subcortico-cortical temporal processing network. To further explore the functional role of each SMA subarea, we performed a meta-analysis of functional neuroimaging studies by contrasting activations according to whether they linked with either sensory, sensorimotor, sequential, non-sequential, explicit, non-explicit, subsecond, or suprasecond temporal processing. This procedure yielded a set of functional differences, which mirror the rostro-caudal anatomical dimension. Activations associated with sensory, non-sequential, and suprasecond temporal processing tend to locate to the rostral SMA, while the opposite is true for the caudal SMA. These findings confirm a functional dissociation of pre-SMA and SMA-proper in temporal processing.
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Tessa C, Lucetti C, Diciotti S, Paoli L, Cecchi P, Giannelli M, Baldacci F, Ginestroni A, Vignali C, Mascalchi M, Bonuccelli U. Hypoactivation of the primary sensorimotor cortex in de novo Parkinson’s disease. Neuroradiology 2011; 54:261-8. [DOI: 10.1007/s00234-011-0955-y] [Citation(s) in RCA: 27] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2011] [Accepted: 09/02/2011] [Indexed: 11/30/2022]
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45
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Altered functional organization of the motor system related to ankle movements in Parkinson's disease: insights from functional MRI. J Neural Transm (Vienna) 2011; 118:783-93. [PMID: 21437717 DOI: 10.1007/s00702-011-0621-x] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2010] [Accepted: 02/22/2011] [Indexed: 10/18/2022]
Abstract
Bradykinesia represents one of the cardinal and most incapacitating features of Parkinson's disease (PD). In this context, investigating the cerebral control mechanisms for limb movements and defining the associated functional neuroanatomy is important for understanding the impaired motor activity in PD. So far, most studies have focused on motor control of upper limb movements in PD. Ankle movement functional MRI (fMRI) paradigms have been used to non-invasively investigate supraspinal control mechanisms relevant for lower limb movements in healthy subjects, patients with Multiple sclerosis, and stroke. Using such an active and passive paradigm in 20 PD patients off medication (mean age 66.8 ± 7.2 years) and 20 healthy controls (HC; mean age 62.3 ± 6.9 years), we here wished to probe for possible activation differences between PD and HC and define functional correlates of lower limb function in PD. Active ankle movement versus rest was associated with a robust activation pattern in expected somatotopy involving key motor areas both in PD and HC. However, contrasting activation patterns in patients versus controls revealed excess activation in the patients in frontal regions comprising pre-supplementary motor areas (pre-SMA) and SMA proper. The extent of SMA activation did not correlate with behavioural parameters related to gait or motor function, and no differences were seen with the passive paradigm. This finding might be indicative of higher demand and increased effort in PD patients to ensure adequate motor function despite existing deficits. The missing correlation with behavioural variables and lack of differences with the passive paradigm suggests that this excess activation is not exclusively compensatory and also not hard-wired.
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González-García N, Armony JL, Soto J, Trejo D, Alegría MA, Drucker-Colín R. Effects of rTMS on Parkinson’s disease: a longitudinal fMRI study. J Neurol 2011; 258:1268-80. [DOI: 10.1007/s00415-011-5923-2] [Citation(s) in RCA: 63] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2010] [Revised: 12/25/2010] [Accepted: 01/17/2011] [Indexed: 11/30/2022]
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Planetta PJ, Prodoehl J, Corcos DM, Vaillancourt DE. Use of MRI to monitor Parkinson’s disease. Neurodegener Dis Manag 2011. [DOI: 10.2217/nmt.10.6] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022] Open
Abstract
SUMMARY Objective biological markers of Parkinson’s disease (PD) are pivotal for confirming diagnosis, monitoring disease progression, and evaluating therapeutic interventions and disease-modifying agents. Structural and functional MRI provide an in vivo means to investigate the cortical and subcortical regions known to be affected in PD. In this article, we summarize how several MRI techniques, namely conventional MRI, iron-based MRI, volume-based MRI, diffusion tensor imaging, magnetic resonance spectroscopy and functional MRI have been used to assess the neurobiological changes related to the motor features of PD. We also discuss promising new research in which multiple MRI techniques are combined to achieve greater sensitivity and specificity of disease detection. Longitudinal research is necessary to establish MRI techniques as viable disease-state biomarkers of PD.
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Affiliation(s)
- Peggy J Planetta
- Department of Kinesiology & Nutrition, University of Illinois at Chicago, Chicago, IL, USA
| | - Janey Prodoehl
- Department of Kinesiology & Nutrition, University of Illinois at Chicago, Chicago, IL, USA
| | - Daniel M Corcos
- Department of Kinesiology & Nutrition, University of Illinois at Chicago, Chicago, IL, USA
- Department of Bioengineering, University of Illinois at Chicago, Chicago, IL, USA
- Department of Physical Therapy, University of Illinois at Chicago, Chicago, IL, USA
- Department of Neurological Sciences, Rush University Medical Center, Chicago, IL, USA
| | - David E Vaillancourt
- Department of Neurology & Rehabilitation, University of Illinois at Chicago, Chicago, IL, USA
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Berardelli A, Suppa A. Recent advances in the pathophysiology of Parkinson's disease: Evidence from fMRI and TMS studies. Exp Neurol 2011; 227:10-2. [DOI: 10.1016/j.expneurol.2010.09.014] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2010] [Revised: 09/06/2010] [Accepted: 09/14/2010] [Indexed: 11/25/2022]
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Hughes LE, Barker RA, Owen AM, Rowe JB. Parkinson's disease and healthy aging: independent and interacting effects on action selection. Hum Brain Mapp 2010; 31:1886-99. [PMID: 20162604 PMCID: PMC3353319 DOI: 10.1002/hbm.20979] [Citation(s) in RCA: 28] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/02/2023] Open
Abstract
Functional reorganization of the motor system occurs in response to both aging and Parkinson's disease (PD). Since PD typically develops in older adults, disease progression and the effects of treatment may interact with normal aging. Using event-related functional magnetic resonance imaging, we studied patients "on" and "off" their normal dopaminergic medication, age-matched controls and younger adults on tasks of action and action selection. For manual movements, aging increased activity in bilateral motor, premotor and cingulate cortex. Activation in the premotor regions of "on" patients was higher relative to age-matched controls. However, in contrast to controls and "off" patients, the activations for patients when "on" decreased with age. Voluntary selection of actions was associated with activation in a bilateral network of fronto-parietal cortex. Within this network, advancing severity of PD was associated with decreased activity particularly in premotor and ventrolateral prefrontal cortex. Together, these results reveal very different patterns of age-related changes in health and PD. Younger patients are able to exert greater compensatory activity in premotor cortex than older patients, even after correction for disease severity. This effect is dopamine dependant, and may in part explain the clinical observation of reduced dopamine responsiveness in older patients with PD.
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Affiliation(s)
- Laura E. Hughes
- Department of Clinical Neurosciences, University of Cambridge, CB2 2QQ, United Kingdom,Medical Research Council Cognition and Brain Sciences Unit, Cambridge, CB2 7EF, United Kingdom
| | - Roger A. Barker
- Department of Clinical Neurosciences, University of Cambridge, CB2 2QQ, United Kingdom,Cambridge Centre for Brain Repair, University of Cambridge, CB2 OPY, United Kingdom
| | - Adrian M. Owen
- Medical Research Council Cognition and Brain Sciences Unit, Cambridge, CB2 7EF, United Kingdom,Behavioural and Clinical Neuroscience Institute, University of Cambridge, CB2 3EB, United Kingdom
| | - James B. Rowe
- Department of Clinical Neurosciences, University of Cambridge, CB2 2QQ, United Kingdom,Medical Research Council Cognition and Brain Sciences Unit, Cambridge, CB2 7EF, United Kingdom,Behavioural and Clinical Neuroscience Institute, University of Cambridge, CB2 3EB, United Kingdom
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50
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Tessa C, Lucetti C, Diciotti S, Baldacci F, Paoli L, Cecchi P, Giannelli M, Ginestroni A, Del Dotto P, Ceravolo R, Vignali C, Bonuccelli U, Mascalchi M. Decreased and increased cortical activation coexist in de novo Parkinson's disease. Exp Neurol 2010; 224:299-306. [DOI: 10.1016/j.expneurol.2010.04.005] [Citation(s) in RCA: 27] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2010] [Revised: 03/30/2010] [Accepted: 04/07/2010] [Indexed: 10/19/2022]
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