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Predicting individual decision-making responses based on single-trial EEG

Yajing Si, Fali Li, Keyi Duan, Qin Tao, Cunbo Li, Zehong Cao, Yangsong Zhang, Bharat Biswal, Peiyang Li, Dezhong Yao, Peng Xu
2019 NeuroImage  
We proposed an electroencephalogram (EEG)-based computational intelligence framework to predict individual responses.  ...  A linear discriminate analysis (LDA) trained on the DSNP features was then used to predict the individual response trial-by-trial.  ...  A single-trial EEG-based prediction framework In this study based on two independent EEG data sets, we proposed an EEG-based single-trial prediction framework to predict individual decision response, including  ... 
doi:10.1016/j.neuroimage.2019.116333 pmid:31698078 fatcat:myyfn6mskvc35lkivcihmyf2gu

How attention influences perceptual decision making: Single-trial EEG correlates of drift-diffusion model parameters

Michael D. Nunez, Joachim Vandekerckhove, Ramesh Srinivasan
2017 Journal of Mathematical Psychology  
Single-trial measures of attention lead to better out-of-sample predictions of accuracy and correct reaction time distributions for individual subjects.  ...  Perceptual decision making can be accounted for by drift-diffusion models, a class of decision-making models that assume a stochastic accumulation of evidence on each trial.  ...  Acknowledgments Special thanks to Josh Tromberg and Aishwarya Gosai for help with EEG collection and artifact removal.  ... 
doi:10.1016/j.jmp.2016.03.003 pmid:28435173 pmcid:PMC5397902 fatcat:bebb3gmmjfc2rfxgy6h4u6ew7u

A Collaborative Brain-Computer Interface for Accelerating Human Decision Making [chapter]

Peng Yuan, Yijun Wang, Xiaorong Gao, Tzyy-Ping Jung, Shangkai Gao
2013 Lecture Notes in Computer Science  
This study suggested that a collaborative BCI could accelerate human decision making with reliable prediction accuracy in real time.  ...  This study presents an online collaborative BCI for improving individuals' decision making in a visual Go/NoGo task.  ...  This study then used a machine-learning classifier to predict the Go/NoGo decision based on single-trial ERPs following stimulus presentation.  ... 
doi:10.1007/978-3-642-39188-0_72 fatcat:wc37unoit5aorkrg6mzt4q35kq

Neural decoding of collective wisdom with multi-brain computing

Miguel P. Eckstein, Koel Das, Binh T. Pham, Matthew F. Peterson, Craig K. Abbey, Jocelyn L. Sy, Barry Giesbrecht
2012 NeuroImage  
Sensory-related neural activity can predict collective choices reached by aggregating individual opinions, voting results, and decision confidence as accurately as neural activity related to decision components  ...  Here, we use electroencephalography and multi-brain computing with twenty humans making perceptual decisions to show that combining neural activity across brains increases decision accuracy paralleling  ...  Our results also show that a majority decision rule based on the neural activity of multiple brains can predict the majority decision based on observers' behavioral responses, albeit not perfectly.  ... 
doi:10.1016/j.neuroimage.2011.07.009 pmid:21782959 fatcat:x6o5f6zz7ne7jacjo23wbjmfdy

Neural correlates of evidence accumulation during value-based decisions revealed via simultaneous EEG-fMRI

M. Andrea Pisauro, Elsa Fouragnan, Chris Retzler, Marios G. Philiastides
2017 Nature Communications  
Here we use simultaneous EEG-fMRI and computational modelling to identify EEG signals reflecting an accumulation process and demonstrate that the within-and across-trial variability in these signals explains  ...  fMRI responses in posterior-medial frontal cortex.  ...  All authors discussed the results and implications and commented on the manuscript at all stages.  ... 
doi:10.1038/ncomms15808 pmid:28598432 pmcid:PMC5472767 fatcat:g7bi7bv4sjdgti5nodjghbebzu

Human Scalp Potentials Reflect a Mixture of Decision-Related Signals during Perceptual Choices

M. G. Philiastides, H. R. Heekeren, P. Sajda
2014 Journal of Neuroscience  
Here, we use single-trial analysis of human electroencephalography data to show that population responses on the scalp can capture choice-predictive activity that builds up gradually over time with a rate  ...  We show that trial-to-trial fluctuations in these response-locked signals exert independent leverage on behavior compared with the rate of evidence accumulation earlier in the trial.  ...  Single-trial EEG analysis.  ... 
doi:10.1523/jneurosci.3012-14.2014 pmid:25505339 pmcid:PMC4261107 fatcat:pvazzpzumzckll6nbyrhoevaam

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  
Decision-making is essentially characterized behaviorally by the variability of the decision across individual trials-e.g., error and response time distributions.  ...  His research focuses on neuroimaging and computational modeling of visual and cognitive function with emphasis on perceptual and reward-based decision-making.  ...  Single-Trial EEG Reveals Temporal Evolution of Decision-Making One of the first studies to use single-trial analysis of the EEG to explore the temporal characteristics of perceptual decision-making in  ... 
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  
Importantly, the 20 single-trial amplitudes of the Late, but not the Early component, were amplified in the 21 course of training and these enhancements predicted the behavioural improvements on 22 the  ...  and decision making 10-12 .  ...  failed to make a response within the pre-allocated Single-trial regression analyses 490 To analyse the behavioural and neural data resulting from our EEG discrimination analysis we use a mixed-effects  ... 
doi:10.1038/s41562-016-0035 fatcat:enc2cju7zzbzzcvg7wgiz3dthi

Subthalamic nucleus stimulation reverses mediofrontal influence over decision threshold

James F Cavanagh, Thomas V Wiecki, Michael X Cohen, Christina M Figueroa, Johan Samanta, Scott J Sherman, Michael J Frank
2011 Nature Neuroscience  
Using the drift diffusion model of decision making, we found that trial-to-trial increases in mPFC activity (EEG theta power, 4-8 Hz) were related to an increased threshold for evidence accumulation (decision  ...  On the basis of computational modeling of basal ganglia function in decision making, it was proposed that the mPFC influences processing in STN to modulate the decision threshold during response conflict  ...  Wagenmakers for consultation on Bayesian data analysis, J.J.B. Allen and E.F. Martino for laboratory resources that facilitated some data acquisition and analyses, and K.  ... 
doi:10.1038/nn.2925 pmid:21946325 pmcid:PMC3394226 fatcat:l7g7k7m5hndubjjla5acflcgrm

EEG Oscillations Reveal Neural Correlates of Evidence Accumulation

M. K. van Vugt, P. Simen, L. E. Nystrom, P. Holmes, J. D. Cohen
2012 Frontiers in Neuroscience  
Recent studies have begun to elucidate the neural correlates of evidence accumulation in perceptual decision making, but few of them have used a combined modelingelectrophysiological approach to studying  ...  We introduce a multivariate approach to EEG analysis with which we can perform a comprehensive search for the neural correlate of dynamics predicted by accumulator models.  ...  Second, there are large individual differences in decision making (e.g., Forstmann et al., 2010) .  ... 
doi:10.3389/fnins.2012.00106 pmid:22822389 pmcid:PMC3398314 fatcat:2q7nu67t3jcvhpcdkltizuxqnq

The timing of exploratory decision-making revealed by single-trial topographic EEGanalyses

Athina Tzovara, Micah M. Murray, Nicolas Bourdaud, Ricardo Chavarriaga, José del R. Millán, Marzia De Lucia
2012 NeuroImage  
Our analyses, based on a classification scheme, extract time-unlocked voltage topographies during reward presentation and use them to predict the type of decisions made on the subsequent trial.  ...  Modulations of the EEG responses following reward presentation are also present at a single-trial level (Philiastides et al., 2010) , allowing to discriminate between switch/stay decisions, although the  ...  information for predicting individual subjects' decision at the single-trial level, possibly due to crucial single-trial information that is lost when averaging.  ... 
doi:10.1016/j.neuroimage.2012.01.136 pmid:22342874 fatcat:zpuidx5udbgc5j7555fssqbrrm

Quality of evidence for perceptual decision making is indexed by trial-to-trial variability of the EEG

R. Ratcliff, M. G. Philiastides, P. Sajda
2009 Proceedings of the National Academy of Sciences of the United States of America  
This makes it impossible to determine, for a single trial of an experiment, the quality of the evidence on which a decision is based.  ...  A fundamental feature of how we make decisions is that our responses are variable in the choices we make and the time it takes to make them.  ...  U nderstanding the behavioral significance of trial-to-trial variability in neural activity is central to systems neuroscience in general, and the neural bases of decision making in particular.  ... 
doi:10.1073/pnas.0812589106 pmid:19342495 pmcid:PMC2672543 fatcat:37mtabj4ijabjetpzly6sfarem

Shared Neural Markers of Decision Confidence and Error Detection

A. Boldt, N. Yeung
2015 Journal of Neuroscience  
This study investigates the foundations of these metacognitive abilities, specifically focusing on the relationship between confidence and error judgments in human perceptual decision making.  ...  Here we assessed whether the Pe also varies in a graded way with participants' subjective ratings of decision confidence, as expressed on a 6-point scale after each trial of a dot count perceptual decision  ...  To quantify Pe amplitude robustly on single trials, we trained a classifier based on spatial linear integration to distinguish between objectively correct and incorrect responses, using a subset of the  ... 
doi:10.1523/jneurosci.0797-14.2015 pmid:25716847 pmcid:PMC4339357 fatcat:4x2gxxnisrapreezaophlpb3xu

Neural Oscillations and Synchronization Differentially Support Evidence Accumulation in Perceptual and Value-Based Decision Making

Rafael Polanía, Ian Krajbich, Marcus Grueschow, Christian C. Ruff
2014 Neuron  
Organisms make two types of decisions on a regular basis.  ...  We analyzed EEG recordings during a paradigm where perceptualand value-based choices were based on identical stimuli.  ...  Hare for his helpful comments and Gabor Stefanics for his valuable help in setting up the EEG lab.  ... 
doi:10.1016/j.neuron.2014.03.014 pmid:24811387 fatcat:yu5yra7hanggxm65bpcrvdtwji

Human VMPFC encodes early signatures of confidence in perceptual decisions

Sabina Gherman, Marios G Philiastides
2018 eLife  
, and was consistent with a confidence measure predicted by an accumulation-to-bound model of decision-making.  ...  Here, we recorded simultaneous EEG-fMRI while participants performed a direction discrimination task and rated their confidence on each trial.  ...  We often have to make important decisions about the world based on imperfect information.  ... 
doi:10.7554/elife.38293 pmid:30247123 pmcid:PMC6199131 fatcat:do6we5fzzzclpogrlcmwkkb2pe
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