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Hobbs NZ, Papoutsi M, Delva A, Kinnunen KM, Nakajima M, Van Laere K, Vandenberghe W, Herath P, Scahill RI. Neuroimaging to Facilitate Clinical Trials in Huntington's Disease: Current Opinion from the EHDN Imaging Working Group. J Huntingtons Dis 2024; 13:163-199. [PMID: 38788082 PMCID: PMC11307036 DOI: 10.3233/jhd-240016] [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] [Accepted: 04/22/2024] [Indexed: 05/26/2024]
Abstract
Neuroimaging is increasingly being included in clinical trials of Huntington's disease (HD) for a wide range of purposes from participant selection and safety monitoring, through to demonstration of disease modification. Selection of the appropriate modality and associated analysis tools requires careful consideration. On behalf of the EHDN Imaging Working Group, we present current opinion on the utility and future prospects for inclusion of neuroimaging in HD trials. Covering the key imaging modalities of structural-, functional- and diffusion- MRI, perfusion imaging, positron emission tomography, magnetic resonance spectroscopy, and magnetoencephalography, we address how neuroimaging can be used in HD trials to: 1) Aid patient selection, enrichment, stratification, and safety monitoring; 2) Demonstrate biodistribution, target engagement, and pharmacodynamics; 3) Provide evidence for disease modification; and 4) Understand brain re-organization following therapy. We also present the challenges of translating research methodology into clinical trial settings, including equipment requirements and cost, standardization of acquisition and analysis, patient burden and invasiveness, and interpretation of results. We conclude, that with appropriate consideration of modality, study design and analysis, imaging has huge potential to facilitate effective clinical trials in HD.
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Affiliation(s)
- Nicola Z. Hobbs
- HD Research Centre, UCL Institute of Neurology, UCL, London, UK
| | - Marina Papoutsi
- HD Research Centre, UCL Institute of Neurology, UCL, London, UK
- IXICO plc, London, UK
| | - Aline Delva
- Department of Neurosciences, KU Leuven, Belgium
- Department of Neurology, University Hospitals Leuven, Belgium
| | | | | | - Koen Van Laere
- Department of Imaging and Pathology, Nuclear Medicine and Molecular Imaging, KU Leuven, Belgium
- Division of Nuclear Medicine, University Hospitals Leuven, Belgium
| | - Wim Vandenberghe
- Department of Neurosciences, KU Leuven, Belgium
- Department of Neurology, University Hospitals Leuven, Belgium
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2
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Ma Y, Gong A, Nan W, Ding P, Wang F, Fu Y. Personalized Brain-Computer Interface and Its Applications. J Pers Med 2022; 13:46. [PMID: 36675707 PMCID: PMC9861730 DOI: 10.3390/jpm13010046] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2022] [Revised: 12/19/2022] [Accepted: 12/20/2022] [Indexed: 12/28/2022] Open
Abstract
Brain-computer interfaces (BCIs) are a new technology that subverts traditional human-computer interaction, where the control signal source comes directly from the user's brain. When a general BCI is used for practical applications, it is difficult for it to meet the needs of different individuals because of the differences among individual users in physiological and mental states, sensations, perceptions, imageries, cognitive thinking activities, and brain structures and functions. For this reason, it is necessary to customize personalized BCIs for specific users. So far, few studies have elaborated on the key scientific and technical issues involved in personalized BCIs. In this study, we will focus on personalized BCIs, give the definition of personalized BCIs, and detail their design, development, evaluation methods and applications. Finally, the challenges and future directions of personalized BCIs are discussed. It is expected that this study will provide some useful ideas for innovative studies and practical applications of personalized BCIs.
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Affiliation(s)
- Yixin Ma
- Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming 650500, China
- Brain Cognition and Brain-Computer Intelligence Integration Group, Kunming University of Science and Technology, Kunming 650500, China
| | - Anmin Gong
- School of Information Engineering, Chinese People’s Armed Police Force Engineering University, Xian 710086, China
| | - Wenya Nan
- Department of Psychology, College of Education, Shanghai Normal University, Shanghai 200234, China
| | - Peng Ding
- Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming 650500, China
- Brain Cognition and Brain-Computer Intelligence Integration Group, Kunming University of Science and Technology, Kunming 650500, China
| | - Fan Wang
- Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming 650500, China
- Brain Cognition and Brain-Computer Intelligence Integration Group, Kunming University of Science and Technology, Kunming 650500, China
| | - Yunfa Fu
- Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming 650500, China
- Brain Cognition and Brain-Computer Intelligence Integration Group, Kunming University of Science and Technology, Kunming 650500, China
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3
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Pusil S, Torres-Simon L, Chino B, López ME, Canuet L, Bilbao Á, Maestú F, Paúl N. Resting-State Beta-Band Recovery Network Related to Cognitive Improvement After Stroke. Front Neurol 2022; 13:838170. [PMID: 35280290 PMCID: PMC8914082 DOI: 10.3389/fneur.2022.838170] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2021] [Accepted: 02/03/2022] [Indexed: 11/29/2022] Open
Abstract
Background Stroke is the second leading cause of death worldwide and it causes important long-term cognitive and physical deficits that hamper patients' daily activity. Neuropsychological rehabilitation (NR) has increasingly become more important to recover from cognitive disability and to improve the functionality and quality of life of these patients. Since in most stroke cases, restoration of functional connectivity (FC) precedes or accompanies cognitive and behavioral recovery, understanding the electrophysiological signatures underlying stroke recovery mechanisms is a crucial scientific and clinical goal. Methods For this purpose, a longitudinal study was carried out with a sample of 10 stroke patients, who underwent two neuropsychological assessments and two resting-state magnetoencephalographic (MEG) recordings, before and after undergoing a NR program. Moreover, to understand the degree of cognitive and neurophysiological impairment after stroke and the mechanisms of recovery after cognitive rehabilitation, stroke patients were compared to 10 healthy controls matched for age, sex, and educational level. Findings After intra and inter group comparisons, we found the following results: (1) Within the stroke group who received cognitive rehabilitation, almost all cognitive domains improved relatively or totally; (2) They exhibit a pattern of widespread increased in FC within the beta band that was related to the recovery process (there were no significant differences between patients who underwent rehabilitation and controls); (3) These FC recovery changes were related with the enhanced of cognitive performance. Furthermore, we explored the capacity of the neuropsychological scores before rehabilitation, to predict the FC changes in the brain network. Significant correlations were found in global indexes from the WAIS-III: Performance IQ (PIQ) and Perceptual Organization index (POI) (i.e., Picture Completion, Matrix Reasoning, and Block Design).
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Affiliation(s)
- Sandra Pusil
- Department of Experimental Psychology, Universidad Complutense de Madrid, Madrid, Spain
| | - Lucía Torres-Simon
- Department of Experimental Psychology, Universidad Complutense de Madrid, Madrid, Spain
| | - Brenda Chino
- Institute of Neuroscience, Autonomous University of Barcelona, Barcelona, Spain
| | - María Eugenia López
- Department of Experimental Psychology, Universidad Complutense de Madrid, Madrid, Spain
| | - Leonides Canuet
- Department of Experimental Psychology, Universidad Complutense de Madrid, Madrid, Spain
| | - Álvaro Bilbao
- National Centre for Brain Injury Treatment, Centro de Referencia Estatal de Atención Al Daño Cerebral (CEADAC), Madrid, Spain
| | - Fernando Maestú
- Department of Experimental Psychology, Universidad Complutense de Madrid, Madrid, Spain
| | - Nuria Paúl
- Department of Experimental Psychology, Universidad Complutense de Madrid, Madrid, Spain
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4
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D'Arcy RCN, Greene T, Greene D, Frehlick Z, Fickling SD, Campbell N, Etheridge T, Smith C, Bollinger F, Danilov Y, Livingstone A, Tannouri P, Martin P, Lakhani B. Portable neuromodulation induces neuroplasticity to re-activate motor function recovery from brain injury: a high-density MEG case study. J Neuroeng Rehabil 2020; 17:158. [PMID: 33261623 PMCID: PMC7708191 DOI: 10.1186/s12984-020-00772-5] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2020] [Accepted: 10/12/2020] [Indexed: 02/08/2023] Open
Abstract
BACKGROUND In a recent high-profile case study, we used functional magnetic resonance imaging (fMRI) to monitor improvements in motor function related to neuroplasticity following rehabilitation for severe traumatic brain injury (TBI). The findings demonstrated that motor function improvements can occur years beyond current established limits. The current study extends the functional imaging investigation to characterize neuromodulation effects on neuroplasticity to further push the limits. METHODS Canadian Soldier Captain (retired) Trevor Greene (TG) survived a severe open-TBI when attacked with an axe during a 2006 combat tour in Afghanistan. TG has since continued intensive daily rehabilitation to recover motor function, experiencing an extended plateau using conventional physical therapy. To overcome this plateau, we paired translingual neurostimulation (TLNS) with the continuing rehabilitation program. RESULTS Combining TLNS with rehabilitation resulted in demonstrable clinical improvements along with corresponding changes in movement evoked electro-encephalography (EEG) activity. High-density magneto-encephalography (MEG) characterized cortical activation changes in corresponding beta frequency range (27 Hz). MEG activation changes corresponded with reduced interhemispheric inhibition in the post-central gyri regions together with increased right superior/middle frontal activation suggesting large scale network level changes. CONCLUSIONS The findings provide valuable insight into the potential importance of non-invasive neuromodulation to enhance neuroplasticity mechanisms for recovery beyond the perceived limits of rehabilitation.
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Affiliation(s)
- Ryan C N D'Arcy
- Centre for Neurology Studies, HealthTech Connex, 13737 96th ave, Suite 204, Vancouver, BC, V3V 0C6, Canada.
- BrainNET, Health and Technology District, Vancouver, Canada.
- Applied Sciences and Sciences, Simon Fraser University, Vancouver, Canada.
- Centre for Brain Health (Radiology), University of British Columbia, Vancouver, Canada.
| | - Trevor Greene
- Centre for Neurology Studies, HealthTech Connex, 13737 96th ave, Suite 204, Vancouver, BC, V3V 0C6, Canada
- BrainNET, Health and Technology District, Vancouver, Canada
| | - Debbie Greene
- Centre for Neurology Studies, HealthTech Connex, 13737 96th ave, Suite 204, Vancouver, BC, V3V 0C6, Canada
- BrainNET, Health and Technology District, Vancouver, Canada
| | - Zack Frehlick
- Centre for Neurology Studies, HealthTech Connex, 13737 96th ave, Suite 204, Vancouver, BC, V3V 0C6, Canada
- BrainNET, Health and Technology District, Vancouver, Canada
| | - Shaun D Fickling
- Centre for Neurology Studies, HealthTech Connex, 13737 96th ave, Suite 204, Vancouver, BC, V3V 0C6, Canada
- BrainNET, Health and Technology District, Vancouver, Canada
- Applied Sciences and Sciences, Simon Fraser University, Vancouver, Canada
| | - Natasha Campbell
- Centre for Neurology Studies, HealthTech Connex, 13737 96th ave, Suite 204, Vancouver, BC, V3V 0C6, Canada
- BrainNET, Health and Technology District, Vancouver, Canada
| | - Tori Etheridge
- Centre for Neurology Studies, HealthTech Connex, 13737 96th ave, Suite 204, Vancouver, BC, V3V 0C6, Canada
- BrainNET, Health and Technology District, Vancouver, Canada
| | - Christopher Smith
- Centre for Neurology Studies, HealthTech Connex, 13737 96th ave, Suite 204, Vancouver, BC, V3V 0C6, Canada
- BrainNET, Health and Technology District, Vancouver, Canada
| | - Fabio Bollinger
- Centre for Neurology Studies, HealthTech Connex, 13737 96th ave, Suite 204, Vancouver, BC, V3V 0C6, Canada
- BrainNET, Health and Technology District, Vancouver, Canada
| | - Yuri Danilov
- Department of Kinesiology, University of Wisconsin-Madison, Madison, USA
- Pavlov Institute of Physiology, Russian Academy of Science, Sankt Petersburg, Russia
| | - Ashley Livingstone
- Centre for Neurology Studies, HealthTech Connex, 13737 96th ave, Suite 204, Vancouver, BC, V3V 0C6, Canada
- BrainNET, Health and Technology District, Vancouver, Canada
| | - Pamela Tannouri
- Centre for Neurology Studies, HealthTech Connex, 13737 96th ave, Suite 204, Vancouver, BC, V3V 0C6, Canada
- BrainNET, Health and Technology District, Vancouver, Canada
| | - Pauline Martin
- BrainNET, Health and Technology District, Vancouver, Canada
- NeuroMotion Rehabilitation, Vancouver, Canada
| | - Bimal Lakhani
- Centre for Neurology Studies, HealthTech Connex, 13737 96th ave, Suite 204, Vancouver, BC, V3V 0C6, Canada.
- BrainNET, Health and Technology District, Vancouver, Canada.
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5
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Brain-computer interface for human-multirobot strategic consensus with a differential world model. APPL INTELL 2020. [DOI: 10.1007/s10489-020-01963-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
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6
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de Tommaso M, Betti V, Bocci T, Bolognini N, Di Russo F, Fattapposta F, Ferri R, Invitto S, Koch G, Miniussi C, Piccione F, Ragazzoni A, Sartucci F, Rossi S, Valeriani M. Pearl and pitfalls in brain functional analysis by event-related potentials: a narrative review by the Italian Psychophysiology and Cognitive Neuroscience Society on methodological limits and clinical reliability-part II. Neurol Sci 2020; 41:3503-3515. [PMID: 32683566 DOI: 10.1007/s10072-020-04527-x] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2019] [Accepted: 06/21/2020] [Indexed: 12/13/2022]
Abstract
This review focuses on new and/or less standardized event-related potentials methods, in order to improve their knowledge for future clinical applications. The olfactory event-related potentials (OERPs) assess the olfactory functions in time domain, with potential utility in anosmia and degenerative diseases. The transcranial magnetic stimulation-electroencephalography (TMS-EEG) could support the investigation of the intracerebral connections with very high temporal discrimination. Its application in the diagnosis of disorders of consciousness has achieved recent confirmation. Magnetoencephalography (MEG) and event-related fields (ERF) could improve spatial accuracy of scalp signals, with potential large application in pre-surgical study of epileptic patients. Although these techniques have methodological limits, such as high inter- and intraindividual variability and high costs, their diffusion among researchers and clinicians is hopeful, pending their standardization.
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Affiliation(s)
- Marina de Tommaso
- Applied Neurophysiology and Pain Unit-AnpLab-University of Bari Aldo Moro, Bari, Italy
| | - Viviana Betti
- Department of Psychology, Sapienza University of Rome, Rome, Italy.,Fondazione Santa Lucia, Istituto Di Ricovero e Cura a Carattere Scientifico, Rome, Italy
| | - Tommaso Bocci
- Dipartimento di Scienze della Salute, University of Milano, Milan, Italy
| | - Nadia Bolognini
- Department of Psychology & NeuroMi, University of Milano Bicocca, Milan, Italy.,Laboratory of Neuropsychology, IRCCS Istituto Auxologico, Milan, Italy
| | - Francesco Di Russo
- Dept. of Movement, Human and Health Sciences, University of Rome "Foro Italico", Rome, Italy
| | | | | | - Sara Invitto
- INSPIRE - Laboratory of Cognitive and Psychophysiological Olfactory Processes, University of Salento, Lecce, Italy
| | - Giacomo Koch
- Fondazione Santa Lucia, Istituto Di Ricovero e Cura a Carattere Scientifico, Rome, Italy.,Neuroscience Department, Policlinico Tor Vergata, Rome, Italy
| | - Carlo Miniussi
- Center for Mind/Brain Sciences - CIMeC, University of Trento, Rovereto, Italy.,Cognitive Neuroscience Section, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy
| | - Francesco Piccione
- Brain Imaging and Neural Dynamics Research Group, IRCCS San Camillo Hospital, Venice, Italy
| | - Aldo Ragazzoni
- Unit of Neurology and Clinical Neurophysiology, Fondazione PAS, Scandicci, Florence, Italy
| | - Ferdinando Sartucci
- Section of Neurophysiopathology, Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy.,CNR Institute of Neuroscience, Pisa, Italy
| | - Simone Rossi
- Department of Medicine, Surgery and Neuroscience Siena Brain Investigation and Neuromodulation LAb (SI-BIN Lab), University of Siena, Siena, Italy
| | - Massimiliano Valeriani
- Neurology Unit, Bambino Gesù Hospital, Rome, Italy. .,Center for Sensory-Motor Interaction, Aalborg University, Aalborg, Denmark.
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7
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Tortora S, Ghidoni S, Chisari C, Micera S, Artoni F. Deep learning-based BCI for gait decoding from EEG with LSTM recurrent neural network. J Neural Eng 2020; 17:046011. [DOI: 10.1088/1741-2552/ab9842] [Citation(s) in RCA: 30] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
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8
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Rathee D, Chowdhury A, Meena YK, Dutta A, McDonough S, Prasad G. Brain–Machine Interface-Driven Post-Stroke Upper-Limb Functional Recovery Correlates With Beta-Band Mediated Cortical Networks. IEEE Trans Neural Syst Rehabil Eng 2019; 27:1020-1031. [DOI: 10.1109/tnsre.2019.2908125] [Citation(s) in RCA: 25] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
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9
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Boyd LA, Hayward KS, Ward NS, Stinear CM, Rosso C, Fisher RJ, Carter AR, Leff AP, Copland DA, Carey LM, Cohen LG, Basso DM, Maguire JM, Cramer SC. Biomarkers of Stroke Recovery: Consensus-Based Core Recommendations from the Stroke Recovery and Rehabilitation Roundtable. Neurorehabil Neural Repair 2018; 31:864-876. [PMID: 29233071 DOI: 10.1177/1545968317732680] [Citation(s) in RCA: 87] [Impact Index Per Article: 14.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
Abstract
The most difficult clinical questions in stroke rehabilitation are "What is this patient's potential for recovery?" and "What is the best rehabilitation strategy for this person, given her/his clinical profile?" Without answers to these questions, clinicians struggle to make decisions regarding the content and focus of therapy, and researchers design studies that inadvertently mix participants who have a high likelihood of responding with those who do not. Developing and implementing biomarkers that distinguish patient subgroups will help address these issues and unravel the factors important to the recovery process. The goal of the present paper is to provide a consensus statement regarding the current state of the evidence for stroke recovery biomarkers. Biomarkers of motor, somatosensory, cognitive and language domains across the recovery timeline post-stroke are considered; with focus on brain structure and function, and exclusion of blood markers and genetics. We provide evidence for biomarkers that are considered ready to be included in clinical trials, as well as others that are promising but not ready and so represent a developmental priority. We conclude with an example that illustrates the utility of biomarkers in recovery and rehabilitation research, demonstrating how the inclusion of a biomarker may enhance future clinical trials. In this way, we propose a way forward for when and where we can include biomarkers to advance the efficacy of the practice of, and research into, rehabilitation and recovery after stroke.
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Affiliation(s)
- Lara A Boyd
- 1 Department of Physical Therapy & the Djavad Mowafaghian Centre for Brain Health, University of British Columbia, Vancouver, Canada
| | - Kathryn S Hayward
- 2 Department of Physical Therapy, University of British Columbia, Vancouver, Canada; Stroke Division, The Florey Institute of Neuroscience and Mental Health, Heidelberg, Australia
| | - Nick S Ward
- 3 Sobell Department of Motor Neuroscience, UCL Institute of Neurology, Queen Square, London, UK
| | - Cathy M Stinear
- 4 Department of Medicine and Centre for Brain Research, University of Auckland, Auckland, New Zealand
| | - Charlotte Rosso
- 5 Inserm U 1127, CNRS UMR 7225, Sorbonne Universités, UPMC Univ Paris 06 UMR S 1127, Institut du Cerveau et de la Moelle épinière, ICM, France; AP-HP, Stroke Unit, Pitié-Salpêtrière Hospital, France
| | - Rebecca J Fisher
- 6 Division of Rehabilitation & Ageing, University of Nottingham, Nottingham, UK
| | - Alexandre R Carter
- 7 Department of Neurology, Washington University in Saint Louis, St Louis, MO, USA
| | - Alex P Leff
- 8 Department of Brain Repair and Rehabilitation, Institute of Neurology & Institute of Cognitive Neuroscience, University College London, Queens Square, London, UK
| | - David A Copland
- 9 School of Health & Rehabilitation Sciences, University of Queensland, Brisbane, Australia; and University of Queensland Centre for Clinical Research, Brisbane, Australia
| | - Leeanne M Carey
- 10 School of Allied Health, College of Science, Health and Engineering, La Trobe, University, Bundoora, Australia; and Neurorehabilitation and Recovery, Stroke Division, The Florey Institute of Neuroscience and Mental Health, Heidelberg, Australia
| | - Leonardo G Cohen
- 11 Human Cortical Physiology and Neurorehabilitation Section, NINDS, NIH, Bethesda, MD, USA
| | - D Michele Basso
- 12 School of Health and Rehabilitation Sciences, The Ohio State University, Columbus, OH, USA
| | - Jane M Maguire
- 13 Faculty of Health, University of Technology Sydney, Ultimo, Sydney, Australia
| | - Steven C Cramer
- 14 University of California, Irvine, CA, USA; Depts. Neurology, Anatomy & Neurobiology, and Physical Medicine & Rehabilitation, Irvine, CA, USA
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10
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Boyd LA, Hayward KS, Ward NS, Stinear CM, Rosso C, Fisher RJ, Carter AR, Leff AP, Copland DA, Carey LM, Cohen LG, Basso DM, Maguire JM, Cramer SC. Biomarkers of stroke recovery: Consensus-based core recommendations from the Stroke Recovery and Rehabilitation Roundtable. Int J Stroke 2018; 12:480-493. [PMID: 28697711 DOI: 10.1177/1747493017714176] [Citation(s) in RCA: 234] [Impact Index Per Article: 39.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
The most difficult clinical questions in stroke rehabilitation are "What is this patient's potential for recovery?" and "What is the best rehabilitation strategy for this person, given her/his clinical profile?" Without answers to these questions, clinicians struggle to make decisions regarding the content and focus of therapy, and researchers design studies that inadvertently mix participants who have a high likelihood of responding with those who do not. Developing and implementing biomarkers that distinguish patient subgroups will help address these issues and unravel the factors important to the recovery process. The goal of the present paper is to provide a consensus statement regarding the current state of the evidence for stroke recovery biomarkers. Biomarkers of motor, somatosensory, cognitive and language domains across the recovery timeline post-stroke are considered; with focus on brain structure and function, and exclusion of blood markers and genetics. We provide evidence for biomarkers that are considered ready to be included in clinical trials, as well as others that are promising but not ready and so represent a developmental priority. We conclude with an example that illustrates the utility of biomarkers in recovery and rehabilitation research, demonstrating how the inclusion of a biomarker may enhance future clinical trials. In this way, we propose a way forward for when and where we can include biomarkers to advance the efficacy of the practice of, and research into, rehabilitation and recovery after stroke.
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Affiliation(s)
- Lara A Boyd
- 1 Department of Physical Therapy & the Djavad Mowafaghian Centre for Brain Health, University of British Columbia, Vancouver, Canada
| | - Kathryn S Hayward
- 2 Department of Physical Therapy, University of British Columbia, Vancouver, Canada; Stroke Division, The Florey Institute of Neuroscience and Mental Health, Heidelberg, Australia
| | - Nick S Ward
- 3 Sobell Department of Motor Neuroscience, UCL Institute of Neurology, Queen Square, London, UK
| | - Cathy M Stinear
- 4 Department of Medicine and Centre for Brain Research, University of Auckland, Auckland, New Zealand
| | - Charlotte Rosso
- 5 Inserm U 1127, CNRS UMR 7225, Sorbonne Universités, UPMC Univ Paris 06, UMR S 1127, Institut du Cerveau et de la Moelle épinière, ICM, Paris, France.,6 AP-HP, Urgences Cérébro-Vasculaires, Hôpital Pitié-Salpêtrière, Paris, France
| | - Rebecca J Fisher
- 7 Division of Rehabilitation & Ageing, University of Nottingham, Nottingham, UK
| | - Alexandre R Carter
- 8 Department of Neurology, Washington University in Saint Louis, St Louis, MO, USA
| | - Alex P Leff
- 9 Department of Brain Repair and Rehabilitation, Institute of Neurology & Institute of Cognitive Neuroscience, University College London, Queens Square, London, UK
| | - David A Copland
- 10 School of Health & Rehabilitation Sciences, University of Queensland, Brisbane, Australia; and University of Queensland Centre for Clinical Research, Brisbane, Australia
| | - Leeanne M Carey
- 11 School of Allied Health, College of Science, Health and Engineering, La Trobe, University, Bundoora, Australia; and Neurorehabilitation and Recovery, Stroke Division, The Florey Institute of Neuroscience and Mental Health, Heidelberg, Australia
| | - Leonardo G Cohen
- 12 Human Cortical Physiology and Neurorehabilitation Section, NINDS, NIH, Bethesda, MD, USA
| | - D Michele Basso
- 13 School of Health and Rehabilitation Sciences, The Ohio State University, Columbus, OH, USA
| | - Jane M Maguire
- 14 Faculty of Health, University of Technology, Ultimo, Sydney, Australia
| | - Steven C Cramer
- 15 University of California, Irvine, CA, USA; Depts. Neurology, Anatomy & Neurobiology, and Physical Medicine & Rehabilitation, Irvine, CA, USA
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11
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Gopalakrishnan R, Burgess RC, Malone DA, Lempka SF, Gale JT, Floden DP, Baker KB, Machado AG. Deep brain stimulation of the ventral striatal area for poststroke pain syndrome: a magnetoencephalography study. J Neurophysiol 2018; 119:2118-2128. [PMID: 29384450 DOI: 10.1152/jn.00830.2017] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2023] Open
Abstract
Poststroke pain syndrome (PSPS) is an often intractable disorder characterized by hemiparesis associated with unrelenting chronic pain. Although traditional analgesics have largely failed, integrative approaches targeting affective-cognitive spheres have started to show promise. Recently, we demonstrated that deep brain stimulation (DBS) of the ventral striatal area significantly improved the affective sphere of pain in patients with PSPS. In the present study, we examined whether electrophysiological correlates of pain anticipation were modulated by DBS that could serve as signatures of treatment effects. We recorded event-related fields (ERFs) of pain anticipation using magnetoencephalography (MEG) in 10 patients with PSPS preoperatively and postoperatively in DBS OFF and ON states. Simple visual cues evoked anticipation as patients awaited a painful (PS) or nonpainful stimulus (NPS) to the nonaffected or affected extremity. Preoperatively, ERFs showed no difference between PS and NPS anticipation to the affected extremity, possibly due to loss of salience in a network saturated by pain experience. DBS significantly modulated the early N1, consistent with improvements in affective networks involving restoration of salience and discrimination capacity. Additionally, DBS suppressed the posterior P2 (aberrant anticipatory anxiety) while enhancing the anterior N1 (cognitive and emotional regulation) in responders. DBS-induced changes in ERFs could potentially serve as signatures for clinical outcomes. NEW & NOTEWORTHY We examined the electrophysiological correlates of pain affect in poststroke pain patients who underwent deep brain stimulation (DBS) targeting the ventral striatal area under a randomized, controlled trial. DBS significantly modulated early event-related components, particularly N1 and P2, measured with magnetoencephalography during a pain anticipatory task, compared with baseline and the DBS-OFF condition, pointing to possible mechanisms of action. DBS-induced changes in event-related fields could potentially serve as biomarkers for clinical outcomes.
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Affiliation(s)
- Raghavan Gopalakrishnan
- Center for Neurological Restoration, Neurological Institute, Cleveland Clinic , Cleveland, Ohio
| | - Richard C Burgess
- Epilepsy Center, Neurological Institute, Cleveland Clinic , Cleveland, Ohio
| | - Donald A Malone
- Center for Behavioral Health, Neurological Institute, Cleveland Clinic , Cleveland, Ohio
| | - Scott F Lempka
- Center for Neurological Restoration, Neurological Institute, Cleveland Clinic , Cleveland, Ohio.,Research Service, Louis Stokes Cleveland Veterans Affairs Medical Center , Cleveland, Ohio
| | - John T Gale
- Center for Neurological Restoration, Neurological Institute, Cleveland Clinic , Cleveland, Ohio.,Department of Neuroscience, Lerner Research Institute, Cleveland Clinic , Cleveland, Ohio
| | - Darlene P Floden
- Center for Neurological Restoration, Neurological Institute, Cleveland Clinic , Cleveland, Ohio
| | - Kenneth B Baker
- Department of Neuroscience, Lerner Research Institute, Cleveland Clinic , Cleveland, Ohio
| | - Andre G Machado
- Center for Neurological Restoration, Neurological Institute, Cleveland Clinic , Cleveland, Ohio.,Department of Neurosurgery, Neurological Institute, Cleveland Clinic , Cleveland, Ohio
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12
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Schalk G, Allison BZ. Noninvasive Brain–Computer Interfaces. Neuromodulation 2018. [DOI: 10.1016/b978-0-12-805353-9.00026-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/17/2022]
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Deng W, Papavasileiou I, Qiao Z, Zhang W, Lam KY, Han S. Advances in Automation Technologies for Lower Extremity Neurorehabilitation: A Review and Future Challenges. IEEE Rev Biomed Eng 2018; 11:289-305. [DOI: 10.1109/rbme.2018.2830805] [Citation(s) in RCA: 34] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
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Abstract
BACKGROUND Spontaneous recovery of visual loss resulting from injury to the brain is variable. A variety of traditional rehabilitative strategies, including the use of prisms or compensatory saccadic eye movements, have been used successfully to improve visual function and quality-of-life for patients with homonymous hemianopia. More recently, repetitive visual stimulation of the blind area has been reported to be of benefit in expanding the field of vision. EVIDENCE ACQUISITION We performed a literature review with main focus on clinical studies spanning from 1963 to 2016, including 52 peer-reviewed articles, relevant cross-referenced citations, editorials, and reviews. RESULTS Repetitive visual stimulation is reported to expand the visual field, although the interpretation of results is confounded by a variety of methodological factors and conflicting outcomes from different research groups. Many studies used subjective assessments of vision and did not include a sufficient number of subjects or controls. CONCLUSIONS The available clinical evidence does not strongly support claims of visual restoration using repetitive visual stimulation beyond the time that spontaneous visual recovery might occur. This lack of firm supportive evidence does not preclude the potential of real benefit demonstrated in laboratories. Additional well-designed clinical studies with adequate controls and methods to record ocular fixation are needed.
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Abstract
Stroke is the leading cause of complex adult disability in the world. Recovery from stroke is often incomplete, which leaves many people dependent on others for their care. The improvement of long-term outcomes should, therefore, be a clinical and research priority. As a result of advances in our understanding of the biological mechanisms involved in recovery and repair after stroke, therapeutic opportunities to promote recovery through manipulation of poststroke plasticity have never been greater. This work has almost exclusively been carried out in preclinical animal models of stroke with little translation into human studies. The challenge ahead is to develop a mechanistic understanding of recovery from stroke in humans. Advances in neuroimaging techniques now enable us to reconcile behavioural accounts of recovery with molecular and cellular changes. Consequently, clinical trials can be designed in a stratified manner that takes into account when an intervention should be delivered and who is most likely to benefit. This approach is expected to lead to a substantial change in how restorative therapeutic strategies are delivered in patients after stroke.
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