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Sounds facilitate visual motion discrimination via the enhancement of late occipital visual representations

Stephanie J. Kayser, Marios G. Philiastides, Christoph Kayser
2017 NeuroImage  
We combined an audio-visual motion discrimination task with the single-trial mapping of dynamic sensory representations in EEG activity to localize when and where multisensory congruency facilitates perceptual  ...  A B S T R A C T Sensory discriminations, such as judgements about visual motion, often benefit from multisensory evidence.  ...  ERC-2014-CoG; Grant No 646657) as well as the British Economic and Social Research (to M.P., ES/L012995/1) and the Biotechnology and Biological Sciences Research Councils (to M.P., BB/J015393/2; to C.K  ... 
doi:10.1016/j.neuroimage.2017.01.010 pmid:28082107 pmcid:PMC5349847 fatcat:s6oslexhujgrriwm72iws4l2mq

Eeg Connectivity - Informed Cooperative Adaptive Line Enhancer for Recognition of Brain State

Saeid Sanei, Clive Cheong Took, Delaram Jarchi, Ales Prochazka
2020 ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)  
Index Terms-Cooperative adaptive line enhancer, EEG, brain connectivity, alpha wave, paroxysmal, sleep spindles.  ...  The outcome suggests that for accurate modelling of the brain neuro-generators, the brain connectivity has to be precisely estimated and plugged into the adaptation process.  ...  The imaginary part of S-coherency (ImSCoh) is related to the phase difference between the signals x k (t) and x l (t) at each frequency f ; e.g., if ImSCoh is positive then, x k (t) and x l (t) are interacting  ... 
doi:10.1109/icassp40776.2020.9052923 dblp:conf/icassp/SaneiTJP20 fatcat:lepbfzertrexnna6aqhnrscld4

Diagnosis of Alzheimers Disease from EEG Signals: Where Are We Standing?

J. Dauwels, F. Vialatte, A. Cichocki
2010 Current Alzheimer Research  
Three major effects of AD on EEG have been observed: slowing of the EEG, reduced complexity of the EEG signals, and perturbations in EEG synchrony.  ...  Next the paper deals with several measures for EEG complexity, and explains how those measures have been used to study fluctuations in EEG complexity in AD patients.  ...  Event related EEG coherence in patients with AD and control subjects was analyzed in [142] , using a visual oddball paradigm. The AD patients showed lower values of evoked coherence.  ... 
doi:10.2174/156720510792231720 pmid:20455865 fatcat:feusoo2h5jbsnpgczzel4ljwi4

Diagnosis of Alzheimer's Disease from EEG Signals: Where Are We Standing?

Justin Dauwels, Francois Vialatte, Andrzej Cichocki
2010 Current Alzheimer Research  
Three major effects of AD on EEG have been observed: slowing of the EEG, reduced complexity of the EEG signals, and perturbations in EEG synchrony.  ...  Next the paper deals with several measures for EEG complexity, and explains how those measures have been used to study fluctuations in EEG complexity in AD patients.  ...  Event related EEG coherence in patients with AD and control subjects was analyzed in [142] , using a visual oddball paradigm. The AD patients showed lower values of evoked coherence.  ... 
doi:10.2174/1567210204558652050 fatcat:ahfknenhb5hmlkp7mkglxtwvum

Human VMPFC encodes early signatures of confidence in perceptual decisions [article]

Sabina Gherman, Marios G Philiastides
2017 bioRxiv   pre-print
Using multivariate single-trial discriminant analysis of the EEG, we identified a stimulus- and accuracy-independent component encoding confidence, appearing prior to subjects' choice and explicit confidence  ...  Here, we recorded simultaneous EEG/fMRI while participants performed a direction discrimination task and rated their confidence on each trial.  ...  Preprocessing of the EEG signals was performed using Matlab (Mathworks, Natick, MA).  ... 
doi:10.1101/224337 fatcat:mefq2xb46rhflhawu7ioocoyxa

Human VMPFC encodes early signatures of confidence in perceptual decisions

Sabina Gherman, Marios G Philiastides
2018 eLife  
Here, we recorded simultaneous EEG-fMRI while participants performed a direction discrimination task and rated their confidence on each trial.  ...  Using multivariate single-trial discriminant analysis of the EEG, we identified a stimulus-independent component encoding confidence, which appeared prior to subjects' explicit choice and confidence report  ...  Acknowledgements This work was supported by the Economic and Social Research Council (ESRC; grant ES/L012995/1 to MGP) and the British Academy (BA; grant SG121587 to MGP).  ... 
doi:10.7554/elife.38293 pmid:30247123 pmcid:PMC6199131 fatcat:do6we5fzzzclpogrlcmwkkb2pe

A Comprehensive Review on Critical Issues and Possible Solutions of Motor Imagery Based Electroencephalography Brain-Computer Interface

Amardeep Singh, Ali Abdul Hussain, Sunil Lal, Hans W. Guesgen
2021 Sensors  
Every year, a significant number of publications that are related to new improvements, challenges, and breakthrough in MI-BCI are made.  ...  This paper provides a comprehensive review of the electroencephalogram (EEG) based MI-BCI system.  ...  The EEG signal from these selected channels is decomposed into ten IMFs using adaptive empirical wavelet transform.  ... 
doi:10.3390/s21062173 pmid:33804611 pmcid:PMC8003721 fatcat:xgqftpxyajfgtny4mml77k5kfy

Identification of Diagnostic-related Features Applicable to EEG Signal Analysis

Nejra Beganovic, Jasmin Kevric, Dejan Jokic
2018 Proceedings of the Annual Conference of the Prognostics and Health Management Society, PHM  
The feasibility of particular features for the detection of epileptic seizures and BCI-related tasks is discussed. Four different feature vectors per analyzed problem are identified.  ...  In this contribution, publicly available electroencephalography (EEG) datasets are analyzed with respect to the detection of epileptic seizure occurrence and BCI-related actions (here: cued motor imagery  ...  in terms of feature extraction considering an adaptive and localized time-frequency analysis of EEG signal.  ... 
doi:10.36001/phmconf.2018.v10i1.477 fatcat:eb5aavbzmrdyhhkqpa5y2ajr6u

Decrease of Mutual Information in Brain Electrical Activity of Patients with Relapsing-Remitting Multiple Sclerosis

Bruno Lenne, Jean-Luc Blanc, Jean-Louis Nandrino, Philippe Gallois, Patrick Hautecæur, Laurent Pezard
2013 Behavioural Neurology  
computed between pairs of bipolar EEG signals recorded during resting condition.  ...  Cortical communication is quantified here in control subjects and patients with relapsing-remitting multiple sclerosis (RRMS) on the basis of mean coherence in theδ,θ,α,βandγbands and using mutual information  ...  Martinerie for pointing us to the non-parametric cluster statistics. This study was supported by the NeuroInformatics Interdisciplinary program of the CNRS under the CODYSEP acronym.  ... 
doi:10.1155/2013/627529 pmid:23242355 pmcid:PMC5214621 fatcat:nkr5yf4mbreqzpdqiaxtd6dmvm

The use of current source density as electrophysiological correlates in neuropsychiatric disorders: A review of human studies

Chella Kamarajan, Ashwini K. Pandey, David B. Chorlian, Bernice Porjesz
2015 International Journal of Psychophysiology  
at high risk for a specific diagnosis vs. low risk or normal controls, and iii) patients with specific symptom(s) vs. patients without these symptom(s).  ...  The use of current source density (CSD), the Laplacian of the scalp surface voltage, to map the electrical activity of the brain is a powerful method in studies of cognitive and affective phenomena.  ...  We are grateful to Jürgen Kayser and Craig E. Tenke for their thorough preview and thoughtful comments, which were very useful to improve the manuscript of this review.  ... 
doi:10.1016/j.ijpsycho.2014.10.013 pmid:25448264 pmcid:PMC4422780 fatcat:liibogrb7bcv3hv5bd4wypz4xa

Single-Trial Analysis of Neuroimaging Data: Inferring Neural Networks Underlying Perceptual Decision-Making in the Human Brain

P. Sajda, M.G. Philiastides, L.C. Parra
2009 IEEE Reviews in Biomedical Engineering  
We review results for perceptual decision-making and discrimination tasks, including paradigms in which EEG variability is used to inform an fMRI analysis.  ...  In a motion discrimination task during which monkeys had to discriminate the direction of motion from random Germany.  ...  Using the LR approach (see Section III-C) for different time windows and phase coherence levels, we identified two EEG components whose single-trial amplitudes discriminated maximally between faces and  ... 
doi:10.1109/rbme.2009.2034535 pmid:22275042 pmcid:PMC3477547 fatcat:nocbax5gjbaghchndmidydwmca

Perceptual learning alters post-sensory processing in human decision-making

Jessica A. Diaz, Filippo Queirazza, Marios G. Philiastides
2017 Nature Human Behaviour  
Previously, using this 56 task and single-trial multivariate discriminant analysis of the EEG we identified two 57 temporally distinct neuronal components that discriminated between the stimulus 58 categories  ...  Moreover, our ability to exploit single-trial variability in the EEG will offer a 105 6 106 Next, we sought to identify the Early (sensory) and Late (decision-related) EEG 107 components that discriminate  ...  Subjects performed this task on three 927 consecutive training days. Sample face and car images at the two levels of phase 928 coherence used in the task (32.5% and 37.5%) are shown on the right.  ... 
doi:10.1038/s41562-016-0035 fatcat:enc2cju7zzbzzcvg7wgiz3dthi

Motion-onset visual evoked potentials predict performance during a global direction discrimination task

Tim Martin, Krystel R. Huxlin, Voyko Kavcic
2010 Neuropsychologia  
In addition to reaction time and accuracy, the EZ diffusion model was used to characterize elements of the decision process.  ...  Here we examined the relationship between behavioral measures and several visual evoked potentials (VEPs) related to global motion onset during a visual motion discrimination task.  ...  KRH and TM were supported by grants from the Pfeiffer Foundation, the Schmitt Foundation, NIH Core Grant P30EY0131, and an unrestricted grant to the Department of Ophthalmology from the Research to Prevent  ... 
doi:10.1016/j.neuropsychologia.2010.08.005 pmid:20713072 pmcid:PMC2998714 fatcat:vrq3n5zqqfc25apozgnqe62ire

Functional connectivity ensemble method to enhance BCI performance (FUCONE) [article]

Marie-Constance Corsi, Sylvain Chevallier, Fabrizio De Vico Fallani, Florian Yger
2022 arXiv   pre-print
Using a meta-analysis to aggregate results across datasets, FUCONE performed significantly better than all state-of-the-art methods.  ...  A thorough assessment of the functional connectivity estimators is provided and the best performing pipeline, called FUCONE, is evaluated on different conditions and datasets.  ...  ∆φ(t) represents the associated relative phase computed between signals and z(t) = s(t) + i.h(s(t)) the analytic signal obtained from the signal s(t).  ... 
arXiv:2111.03122v2 fatcat:7wnthfmrm5derbzmygusj4u5ve

Lateralized Readiness Potentials Reveal Properties of a Neural Mechanism for Implementing a Decision Threshold

Marieke K. van Vugt, Patrick Simen, Leigh Nystrom, Philip Holmes, Jonathan D. Cohen, Floris P. de Lange
2014 PLoS ONE  
As such LRPs provide a useful measure to test dynamical models of both evidence accumulation and decision commitment processes non-invasively.  ...  We show that, as our model predicts, LRP amplitudes and growth rates recorded while participants performed a motion discrimination task correlate with individual differences in behaviorally-estimated prior  ...  These coherence levels were used for the remainder of the session, and the coherences from the last psychometric block were used for the two EEG sessions.  ... 
doi:10.1371/journal.pone.0090943 pmid:24625827 pmcid:PMC3953213 fatcat:nwkagucijvgnrfpplstzj4kgha
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