- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT05663008
Impairments of Neuro-muscular Communication in Motor-Neuron Disease: A Bio-Marker for Early and Personalised Diagnosis (MotorMarker)
Motor neuron disease (MND) or ALS is a nervous system disease. ALS leads to a loss of movement ability that eventually leads to death. At the moment, there is no known treatment for ALS. Early diagnosis in individuals improves clinical care and facilitates timely entry into clinical trials. However, current methods for diagnosis are primarily clinical, and to date, no cost-effective biomarkers have been developed. Our objective is to identify a robust non-invasive neurophysiological-based system that can be used both as a biomarker of disease onset, and a measurement of progression using quantitative EEG and surface EMG (bipolar and high-density).
The investigators postulate that analysing the joint recordings of EEG and EMG (bipolar or high-density) can give measures that better distinguish healthy people and ALS patient subgroups and that the findings can be developed as biomarkers of early diagnosis and disease progression.
Study Overview
Status
Detailed Description
Amyotrophic Laterals Sclerosis (ALS) or Motor Neuron Disease (MND) is a terminal neurodegenerative disease, that leads to progressive loss of motor function. Treatment of ALS remains an unresolved challenge and despite intensive research, diagnosis and therapy are not yet adequately personalised . New therapeutics and the quality of care after diagnosis can be enhanced by early diagnosis at the individual patient level, enabling tailored care and individualised treatment.
To personalise the diagnosis, there is a need for reliable quantitative biomarkers, for early detection of disease onset and to distinguish the different sub-types of the disease. Specifically, several biomarkers have been investigated for use in ALS, including Motor Unit Number Estimation (MUNE), Motor Unit Number Index (MUNIX), Cortical Excitability in Transcranial Magnetic Stimulation (TMS), EMG Inter-muscular Coherence, Magnetic Resonance (MR) and other imaging techniques, and EEG signatures. However, the diagnostic utility of these techniques, especially the inexpensive non-invasive recordings of electrical muscle activity - bipolar or high-density surface electromyography (sEMG), and electrical brain activity -surface electroencephalography (sEEG)-, is limited: the biomarkers are not strongly linked to the neurophysiological mechanisms affected in ALS.
The human motor system encompasses 2 sub-systems: the α motor system directly innervates the motor neurons and spinal interneurons and the γ system that modulates the sensors of the muscles' feedback reflex loops to indirectly contribute to muscle activations. These 2 systems form a neuromuscular communication and control network, through which neural signals are communicated to and from muscles for coordinated movement. In ALS, there is a disruption of the function of both upper and lower motor neurons. In the lower motor neurons, the degeneration of the α-motor system starts prior to the γ-system, thus changing the relative contribution of the α and γ system which distorts the patterns of neuromuscular communication in movements. It is therefore of interest to distinguish and dissociate the electrophysiological signatures that reflect sensorimotor network communication patterns pertaining to each sub-system in function and dysfunction, which in turn can act as biomarkers. In specific subgroups of ALS, i.e. Primary Lateral Sclerosis (PLS) and Progressive Muscle Atrophy (PMA) - there is selective degeneration of the upper or lower motor neurons respectively. Therefore, more specific changes in network communication patterns are to be expected.
To analyse the cybernetic characteristics (communication, control, and information transfer), electrophysiological signals need to be analysed from several points of the neuromuscular system as an interconnected network. This can be achieved by joint recording and advanced analysis of co-variability of patterns in the EMG/EEG, e.g. (directional) cortico-muscular coherence and directional network influences, during functional motor tasks. It is hypothesised that neuromuscular communication measures based on both EEG and EMG (indicators of pathophysiological change, measured as a network) better reflect ALS onset and subtypes than measures based on either EEG or EMG in isolation (indicators of structural change, measured at nodes).
Successful discrimination of the electrophysiological signatures can be used to diagnose ALS which may be also useful in terms of better patient care and the development of novel neuro-motor rehabilitation.
Study Type
Enrollment (Anticipated)
Contacts and Locations
Study Contact
- Name: Orla Hardiman, BSc MB BCh BAO MD FRCPI FAAN
- Phone Number: +353 1 896 4497
- Email: hardimao@tcd.ie
Study Contact Backup
- Name: Saroj Bista, MSc
- Phone Number: +353 89 945 8246
- Email: sbista@tcd.ie
Study Locations
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Leinster
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Dublin, Leinster, Ireland, Dublin 2
- Recruiting
- Academic Unit of Neurology, Trinity College Dublin, The University of Dublin
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Contact:
- Saroj Bista, MSc
- Phone Number: +353 89 945 8246
- Email: sbista@tcd.ie
-
Contact:
- Orla Hardiman,, BSc MB BCh BAO MD FRCPI FAAN
- Phone Number: +353 1 896 4497
- Email: hardimao@tcd.ie
-
-
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Sampling Method
Study Population
Description
Inclusion Criteria:
Healthy Volunteers:
- age and gender-matched to patient groups
- the intact physical ability to take part in the experiment.
Patients:
- Diagnosis of ALS, PLS, PMA, SMA, Polio or MS
- capable of providing informed consent.
Exclusion Criteria:
Healthy Controls:
- History of neuromuscular
- neurological or active psychiatric disease disease
- history of reaction or allergy to recording environments, equipment and the recording gels.
Patients:
- the presence of active psychiatric disease
- any medical condition associated with severe neuropathy (e.g. poorly controlled diabetes).
- History of reaction or allergy to recording environments, equipment and the recording gels.
Study Plan
How is the study designed?
Design Details
- Observational Models: Cohort
- Time Perspectives: Prospective
Cohorts and Interventions
Group / Cohort |
Intervention / Treatment |
---|---|
Controls
Individuals from the Irish population with no psychiatric, psychological, neurological or muscular disease diagnosis.
|
128 electrode EEG and 8 bipolar EMG or HD-EMG will be noninvasively recorded from electrodes placed in a montage over the scalp and arm muscles while the participant is resting or performing tasks designed to engage specific cortical networks of interest (cognitive, behavioural, motor and sensory)
|
Amyotrophic lateral sclerosis patients
Individuals from the Irish population (Irish Motorneuron Disease Register) with possible/probable/definitive diagnosis of ALS.
|
128 electrode EEG and 8 bipolar EMG or HD-EMG will be noninvasively recorded from electrodes placed in a montage over the scalp and arm muscles while the participant is resting or performing tasks designed to engage specific cortical networks of interest (cognitive, behavioural, motor and sensory)
|
Postpoliomyelitis syndrome
Individuals from the Irish population (Irish Motorneuron Disease Register) with postpoliomyelitis syndrome diagnosis.
|
128 electrode EEG and 8 bipolar EMG or HD-EMG will be noninvasively recorded from electrodes placed in a montage over the scalp and arm muscles while the participant is resting or performing tasks designed to engage specific cortical networks of interest (cognitive, behavioural, motor and sensory)
|
Spinal Muscular Atrophy
Individuals from the Irish population (Irish Motorneuron Disease Register) with spinal muscular atrophy diagnosis.
|
128 electrode EEG and 8 bipolar EMG or HD-EMG will be noninvasively recorded from electrodes placed in a montage over the scalp and arm muscles while the participant is resting or performing tasks designed to engage specific cortical networks of interest (cognitive, behavioural, motor and sensory)
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
EEG-EMG signatures for reliable and early distinction between healthy people and ALS patient subgroups (specifically ALS, PLS, PMA, and SMA).
Time Frame: Baseline to final visit assessed up to 2 years after baseline
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Cortico-muscular coherence (CMC) during functional motor tasks.
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Baseline to final visit assessed up to 2 years after baseline
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EEG-EEG signatures for reliable and early distinction between healthy people and ALS patient subgroups (specially ALS, PLS, PMA, and SMA)
Time Frame: Baseline to final visit assesed up to 2 years after baseline
|
Cortico-cortical coherence during functional motor tasks.
|
Baseline to final visit assesed up to 2 years after baseline
|
Collaborators and Investigators
Collaborators
Investigators
- Principal Investigator: Orla Hardiman, BSc MB BCh BAO MD FRCPI FAAN, Academic Unit of Neurology, Trinity College Dublin, The University of Dublin
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Anticipated)
Study Completion (Anticipated)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
- Metabolic Diseases
- Central Nervous System Diseases
- Nervous System Diseases
- RNA Virus Infections
- Virus Diseases
- Infections
- Neurologic Manifestations
- Musculoskeletal Diseases
- Muscular Diseases
- Neuromuscular Diseases
- Central Nervous System Infections
- Neurodegenerative Diseases
- Neuromuscular Manifestations
- Pathological Conditions, Anatomical
- Enterovirus Infections
- Picornaviridae Infections
- Spinal Cord Diseases
- TDP-43 Proteinopathies
- Proteostasis Deficiencies
- Muscular Disorders, Atrophic
- Atrophy
- Myelitis
- Poliomyelitis
- Motor Neuron Disease
- Amyotrophic Lateral Sclerosis
- Muscular Atrophy
- Postpoliomyelitis Syndrome
- Muscular Atrophy, Spinal
Other Study ID Numbers
- CRFSJ0136
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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