ArticleNeuroImage. Clinical2019
Dysfunction of attention switching networks in amyotrophic lateral sclerosis.
Article in NeuroImage. Clinical, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04918251 (Investigation of EEG and TMS-based Biomarkers of Amyotrophic Lateral Sclerosis, Multiple Sclerosis and Frontotemporal Dementia), which is not on this map. Cited by 18 papers.
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Investigation of EEG and TMS-based Biomarkers of Amyotrophic Lateral Sclerosis, Multiple Sclerosis and Frontotemporal Dementia
Who cites it
18 citing papers in PubMed.
- Structural-functional network decoupling in early stage amyotrophic lateral sclerosis reveals cell-type specific transcriptional signatures.BMC medicine · 2026Article
- Attentional Function in Patients With Amyotrophic Lateral Sclerosis is Moderated by Age and Education.Brain and behavior · 2026Article
- JAK4D, a first-in-class thyrotropin-releasing hormone analogue, reverses scopolamine-induced memory deficits.Brain communications · 2026Article
- Neurophysiological biomarkers of networks impairment in amyotrophic lateral sclerosis.Journal of neurology · 2025Review
- Novel approaches to EEG and MEG in motor neurone disease: IFCN Handbook Chapter.Clinical neurophysiology practice · 2025Review
- Longitudinal changes in MEG-based brain network topology of ALS patients with cognitive/behavioral impairment-An exploratory study.Network neuroscience (Cambridge, Mass.) · 2025Article
- Mandarin-speaking children with different types of cochlear implant exhibit variations in the activation patterns of their central auditory processing.Frontiers in neuroscience · 2024Article
- The Spectrum of Cognitive Dysfunction in Amyotrophic Lateral Sclerosis: An Update.International journal of molecular sciences · 2023Review
- Characteristics of different Mandarin pronunciation element perception: evidence based on a multifeature paradigm for recording MMN and P3a components of phonemic changes in speech sounds.Frontiers in neuroscience · 2023Article
- Resting-state EEG reveals four subphenotypes of amyotrophic lateral sclerosis.Brain : a journal of neurology · 2022Article
- Article
- Impaired pain processing and its association with attention disturbance in patients with amyotrophic lateral sclerosis.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2021Article
- Frontotemporal Pathology in Motor Neuron Disease Phenotypes: Insights From Neuroimaging.Frontiers in neurology · 2021Review
- The Impact of Robotic Rehabilitation on the Motor System in Neurological Diseases. A Multimodal Neurophysiological Approach.International journal of environmental research and public health · 2020Article
- Localization of Brain Networks Engaged by the Sustained Attention to Response Task Provides Quantitative Markers of Executive Impairment in Amyotrophic Lateral Sclerosis.Cerebral cortex (New York, N.Y. : 1991) · 2020Article
- Article
- Patterned functional network disruption in amyotrophic lateral sclerosis.Human brain mapping · 2019Article
- Measuring network disruption in neurodegenerative diseases: New approaches using signal analysis.Journal of neurology, neurosurgery, and psychiatry · 2019Review
Corrections and comments
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Authors and funding
18 authors.
Funding
Abstract
objectiveTo localise and characterise changes in cognitive networks in Amyotrophic Lateral Sclerosis (ALS) using source analysis of mismatch negativity (MMN) waveforms. RATIONALE: The MMN waveform has an increased average delay in ALS. MMN has been attributed to change detection and involuntary attention switching. This therefore indicates pathological impairment of the neural network components which generate these functions. Source localisation can mitigate the poor spatial resolution of sensor-level EEG analysis by associating the sensor-level signals to the contributing brain sources. The functional activity in each generating source can therefore be individually measured and investigated as a quantitative biomarker of impairment in ALS or its sub-phenotypes.
methodsMMN responses from 128-channel electroencephalography (EEG) recordings in 58 ALS patients and 39 healthy controls were localised to source by three separate localisation methods, including beamforming, dipole fitting and exact low resolution brain electromagnetic tomography.
resultsCompared with controls, ALS patients showed significant increase in power of the left posterior parietal, central and dorsolateral prefrontal cortices (false discovery rate = 0.1). This change correlated with impaired cognitive flexibility (rho = 0.45, 0.45, 0.47, p = .042, .055, .031 respectively). ALS patients also exhibited a decrease in the power of dipoles representing activity in the inferior frontal (left: p = 5.16 × 10
interpretationSource localization of evoked potentials can reliably discriminate patterns of functional network impairment in ALS and ALS subgroups during involuntary attention switching. The discriminative ability of the detected cognitive changes in specific brain regions are comparable to those of functional magnetic resonance imaging (fMRI). Source analysis of high-density EEG patterns has excellent potential to provide non-invasive, data-driven quantitative biomarkers of network disruption that could be harnessed as novel neurophysiology-based outcome measures in clinical trials.
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