A5061325854- Amyotrophic Lateral Sclerosis Research
- Genetic Neurodegenerative Diseases
- Parkinson's Disease Mechanisms and Treatments
- Neuroscience and Neural Engineering
- 3D Printing in Biomedical Research
- Neural dynamics and brain function
- Alzheimer's disease research and treatments
- Advanced Memory and Neural Computing
- EEG and Brain-Computer Interfaces
- Functional Brain Connectivity Studies
- Muscle activation and electromyography studies
- Olfactory and Sensory Function Studies
Trinity College Dublin
2021-2024
Abstract Amyotrophic lateral sclerosis is a devastating disease characterized primarily by motor system degeneration, with clinical evidence of cognitive and behavioural change in up to 50% cases. both clinically biologically heterogeneous. Subgrouping currently undertaken using parameters, such as site symptom onset (bulbar or spinal), burden (based on the modified El Escorial Research Criteria) genomics those familial disease. However, exception genomics, these subcategories do not take...
Abstract Recent electroencephalography (EEG) studies have shown that patterns of brain activity can be used to differentiate amyotrophic lateral sclerosis (ALS) and control groups. These differences interrogated by examining EEG microstates, which are distinct, reoccurring topographies the scalp's electrical potentials. Quantifying temporal properties four canonical microstates elucidate how dynamics functional networks altered in neurological conditions. Here we analysed detect quantify...
Abstract Amyotrophic lateral sclerosis (ALS) is characterised primarily by motor system degeneration, with clinical evidence of cognitive and behavioural change in up to 50% cases. We have shown previously that resting-state EEG captures dysfunction networks ALS. However, the longitudinal development these dysfunctional patterns, especially linked cognitive-behavioural functions, remains unclear. Longitudinal studies on non-motor changes ALS are essential further develop our understanding...
<title>Abstract</title> Amyotrophic lateral sclerosis (ALS) is characterised primarily by motor system degeneration, with clinical evidence of cognitive and behavioural change in up to 50% cases. We have shown previously that resting-state EEG captures the dysfunction networks ALS. However, longitudinal development network-level patterns remains unclear, particularly related cognitive-behavioural functions. examined 124 ALS individuals 128-channel recordings, categorised impairment (ALSci, n...
Abstract Brain microstates are a well-established method for the dynamic analysis of resting-state electroencephalogram (EEG). We observed four quasi-stable, transient and reoccurring topographies in high density EEG data (128 electrodes, 3x2 min recording blocks). The were reliably across conditions: individuals with Amyotrophic lateral sclerosis (ALS) (n = 99) versus age-matched healthy controls (HC, n 78). To improve understanding neural mechanisms underlying microstates, we estimated...
Abstract Objective To design and develop a high-density (HD) electrode system that describes the position of surface electrodes for recording electrophysiological signals from human cervical spinal cord. The is intended to standardize experimental recordings facilitate subsequent analysis evoked spontaneous cord neural activity, using electrospinography (HD-ESG). Method proposed (SC10-X/U) locations up 76 channels with unique nomenclature, where division (SC) space was inspired by EEG 10-10...
Abstract Background Amyotrophic lateral sclerosis (ALS) shares pathological and genetic underpinnings with frontotemporal dementia (FTD). ALS manifests diverse symptoms, including progressive neuro‐motor degeneration, muscle weakness, but also cognitive‐behavioural changes in up to half of the cases. Resting‐state EEG measures, particularly spectral power functional connectivity, have been instrumental for discerning abnormal motor cognitive network function [1]–[3]. Based on our recent...