[PDF][PDF] An overview of independent component analysis and its applications
The problem of source separation is an inductive inference problem. There is not enough
information to deduce the solution, so one must use any available information to infer the …
information to deduce the solution, so one must use any available information to infer the …
Predictive Power of Cognitive Biomarkers in Neurodegenerative Disease Drug Development: Utility of the P300 Event‐Related Potential
J Olichney, J Xia, KJ Church, HJ Moebius - Neural Plasticity, 2022 - Wiley Online Library
Neurodegenerative diseases, such as Alzheimer's disease (AD), and their associated
deterioration of cognitive function are common causes of disability. The slowly developing …
deterioration of cognitive function are common causes of disability. The slowly developing …
Clinical and biomarker profiling of prodromal Alzheimer's disease in workpackage 5 of the Innovative Medicines Initiative PharmaCog project: a 'European ADNI study'
S Galluzzi, M Marizzoni, C Babiloni… - Journal of internal …, 2016 - Wiley Online Library
Background In the field of Alzheimer's disease (AD), the validation of biomarkers for early
AD diagnosis and for use as a surrogate outcome in AD clinical trials is of considerable …
AD diagnosis and for use as a surrogate outcome in AD clinical trials is of considerable …
Multiple scale convolutional few-shot learning networks for online P300-based brain–computer interface and its application to patients with disorder of consciousness
P300 brain–computer interfaces (BCIs) have significant potential for detecting and
assessing residual consciousness in patients with disorders of consciousness (DoC) but are …
assessing residual consciousness in patients with disorders of consciousness (DoC) but are …
Source-space ICA for EEG source separation, localization, and time-course reconstruction
We propose source-space independent component analysis (ICA) for separation,
tomography, and time-course reconstruction of EEG and MEG source signals. Source-space …
tomography, and time-course reconstruction of EEG and MEG source signals. Source-space …
An overview of ICA/BSS-based application to Alzheimer's brain signal processing
W Yang, A Pilozzi, X Huang - Biomedicines, 2021 - mdpi.com
Alzheimer's disease (AD) is by far the most common cause of dementia associated with
aging. Early and accurate diagnosis of AD and ability to track progression of the disease is …
aging. Early and accurate diagnosis of AD and ability to track progression of the disease is …
Modulation of ERP components by task instructions in a cued go/no‐go task
IE Aasen, JF Brunner - Psychophysiology, 2016 - Wiley Online Library
The present study investigated how components of ERPs are modulated when participants
optimize speed versus accuracy in a cued go/no‐go task. Using a crossover design, 35 …
optimize speed versus accuracy in a cued go/no‐go task. Using a crossover design, 35 …
Independent component analysis for source localization of EEG sleep spindle components
EM Ventouras, PY Ktonas, H Tsekou… - Computational …, 2010 - Wiley Online Library
Sleep spindles are bursts of sleep electroencephalogram (EEG) quasirhythmic activity within
the frequency band of 11–16 Hz, characterized by progressively increasing, then gradually …
the frequency band of 11–16 Hz, characterized by progressively increasing, then gradually …
[HTML][HTML] Neuropsychological parameters indexing executive processes are associated with independent components of ERPs
JF Brunner, A Olsen, IE Aasen, GC Løhaugen… - Neuropsychologia, 2015 - Elsevier
Lesion studies have indicated that at least the three executive processes can be
differentiated in the frontal lobe: Energization, monitoring and task setting. Event related …
differentiated in the frontal lobe: Energization, monitoring and task setting. Event related …
Electrophysiological correlates of cognitive control and performance monitoring in risk propensity: An event-related potential study
Investigating the cognitive control processes and error detection mechanisms involved in
risk-taking behaviors is essential for understanding risk propensity. This study investigated …
risk-taking behaviors is essential for understanding risk propensity. This study investigated …