Inspiratory- and finger-flexion-related cortical potentials in patients with amyotrophic lateral sclerosis – An exploratory study

Bizovičar, Nataša; Zidar, Ignac; Koritnik, Blaž; Zidar, Janez

doi:10.1016/j.clineuro.2012.02.049

Cited by 5 publications

(8 citation statements)

References 23 publications

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“…Indeed, previous studies have shown that MRCPs can be recorded in ALS patients in the offline modus [31,32,34] although the number of patients included were much lower. The current study extends these results to include more patients at different levels of function and time since onset of ALS.…”

Section: Discussionmentioning

confidence: 99%

“…Such a robust BCI could be used to control a robotic system (soft glove [28,29] and/or arm exoskeleton [30]) that can provide functional assistance to ALS patients. The MRCPs have been investigated in ALS patients [31][32][33] and it has been shown that clear signals are present and can be used to drive a BCI system [34]. We expect that the robotic assistance will motivate the participants to practice utilizing the BCI platform.…”

Section: Introductionmentioning

confidence: 99%

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Participant-specific classifier tuning increases the performance of hand movement detection from EEG in patients with amyotrophic lateral sclerosis

Aliakbaryhosseinabadi

Došen

Savić

et al. 2021

J. Neural Eng.

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Objective. Brain–computer interface (BCI) systems can be employed to provide motor and communication assistance to patients suffering from neuromuscular diseases, such as amyotrophic lateral sclerosis (ALS). Movement related cortical potentials (MRCPs), which are naturally generated during movement execution, can be used to implement a BCI triggered by motor attempts. Such BCI could assist impaired motor functions of ALS patients during disease progression, and facilitate the training for the generation of reliable MRCPs. The training aspect is relevant to establish a communication channel in the late stage of the disease. Therefore, the aim of this study was to investigate the possibility of detecting MRCPs associated to movement intention in ALS patients with different levels of disease progression from slight to complete paralysis. Approach. Electroencephalography signals were recorded from nine channels in 30 ALS patients at various stages of the disease while they performed or attempted to perform hand movements timed to a visual cue. The movement detection was implemented using offline classification between movement and rest phase. Temporal and spectral features were extracted using 500 ms sliding windows with 50% overlap. The detection was tested for each individual channel and two surrogate channels by performing feature selection followed by classification using linear and non-linear support vector machine and linear discriminant analysis. Main results. The results demonstrated that the detection performance was high in all patients (accuracy 80.5 ± 5.6%) but that the classification parameters (channel, features and classifier) leading to the best performance varied greatly across patients. When the same channel and classifier were used for all patients (participant-generic analysis), the performance significantly decreased (accuracy 74 ± 8.3%). Significance. The present study demonstrates that to maximize the detection of brain waves across ALS patients at different stages of the disease, the classification pipeline should be tuned to each patient individually.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Participant-specific classifier tuning increases the performance of hand movement detection from EEG in patients with amyotrophic lateral sclerosis

Aliakbaryhosseinabadi

Došen

Savić

et al. 2021

J. Neural Eng.

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“…TMS with RMT studies were performed earlier with ALS patients [20, 21]. NHPT were only investigated in an exploratory study with only one measurement and not over time like in this study [22]. Also, both measurements (TMS RMT and NHPT) were not combined before in a study.…”

Section: Discussionmentioning

confidence: 99%

Nine Hole Peg Test and Transcranial Magnetic Stimulation: Useful to Evaluate Dexterity of the Hand and Disease Progression in Amyotrophic Lateral Sclerosis

Czell

Neuwirth

Weber

et al. 2019

Neurology Research International

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Objective Amyotrophic lateral sclerosis (ALS) is a neurodegenerative disease with involvement of the upper and lower motor neurons. Since the loss of fine motor skills is one of the earliest signs of ALS, the hypothesis was tested if the nine hole PEG test (NHPT) and transcranial magnet stimulation (TMS) with resting-motor threshold (RMT) could be useful in monitoring disease progression. Methods We examined 28 ALS patients and 27 age-matched healthy controls. ALS patients and healthy controls underwent the nine hole peg test (NHPT) and TMS with RMT. Measurements in patients were repeated after three and six months. Results At baseline, the median NHPT durations were 1,4-fold longer (p < 0.001), and TMS scores showed a significant 0.8-fold smaller score in ALS patients compared with healthy controls (p < 0.001). The comparison of three and six months versus baseline revealed significant differences for NHPT durations and ALSFRS-R in patients, whereas TMS scores did not significantly differ in the patients. Conclusion NHPT seems to be a good tool to evaluate dexterity of the hand and the progression of the disease in ALS patients. TMS RMT to the hand muscles seems to be poorly qualified to evaluate the dexterity of the hand function and the course of the disease.

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“…For example, bulbar onset results from upper motor neuron degeneration, and includes spasticity, hyperreflexia, difficulty swallowing, speaking, or breathing due, at least in part, to degeneration of the corticospinal tract (Cleveland and Rothstein, 2001). Inspiratory (sniffing) related cortical potentials are useful in diagnosing cortical involvement in ALS (Bizovicar et al, 2012). Spinal onset disease results in signs characteristic of alpha motor neuron degeneration, and include generalized muscle weakness, atrophy, slowed motor responses in limbs or appendages and muscle fasciculation (Cleveland and Rothstein, 2001).…”

Section: Clinical Presentation In Alsmentioning

confidence: 99%

Ventilatory control in ALS

Nichols

Dyke

Nashold

et al. 2013

Respiratory Physiology & Neurobiology

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Amyotrophic lateral sclerosis (ALS) is a fatal, progressive neurodegenerative disease. ALS selectively causes degeneration in upper and lower (spinal) motor neurons, leading to muscle weakness, paralysis and death by ventilatory failure. Although ventilatory failure is generally the cause of death in ALS, little is known concerning the impact of this disorder on respiratory motor neurons, the consequences of respiratory motor neuron cell death, or the ability of the respiratory control system to “fight back” via mechanisms of compensatory respiratory plasticity. Here we review known effects of ALS on breathing, including possible effects on rhythm generation, respiratory motor neurons, and their target organs: the respiratory muscles. We consider evidence for spontaneous compensatory plasticity, preserving breathing well into disease progression despite dramatic loss of spinal respiratory motor neurons. Finally, we review current and potential therapeutic approaches directed toward preserving the capacity to breathe in ALS patients.

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Inspiratory- and finger-flexion-related cortical potentials in patients with amyotrophic lateral sclerosis – An exploratory study

Cited by 5 publications

References 23 publications

Participant-specific classifier tuning increases the performance of hand movement detection from EEG in patients with amyotrophic lateral sclerosis

Participant-specific classifier tuning increases the performance of hand movement detection from EEG in patients with amyotrophic lateral sclerosis

Nine Hole Peg Test and Transcranial Magnetic Stimulation: Useful to Evaluate Dexterity of the Hand and Disease Progression in Amyotrophic Lateral Sclerosis

Ventilatory control in ALS

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