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Joint Spatial-Spectral Feature Space Clustering for Speech Activity Detection from ECoG Signals

Vasileios G. Kanas, Iosif Mporas, Heather L. Benz, Kyriakos N. Sgarbas, Anastasios Bezerianos, Nathan E. Crone
2014 IEEE Transactions on Biomedical Engineering  
The purpose of this study was to detect speech activity automatically from electrocorticographic signals based on joint spatialfrequency clustering of the ECoG feature space.  ...  We found that the optimal frequency resolution to detect speech activity from ECoG signals was 8 Hz, achieving 98.8% accuracy by employing support vector machines (SVM) as a classifier.  ...  Discussion and Conclusions In this study, we propose a framework for speech activity detection from ECoG signals with high accuracy, using unsupervised feature space clustering.  ... 
doi:10.1109/tbme.2014.2298897 pmid:24658248 pmcid:PMC4005607 fatcat:e3qi2xivv5ehpk6q7vpiozm7gq

Progress in speech decoding from the electrocorticogram

Shreya Chakrabarti, Hilary M. Sandberg, Jonathan S. Brumberg, Dean J. Krusienski
2015 Biomedical Engineering Letters  
Electrical activity measured from the cortex, or electrocorticography (ECoG), offers several advantages over other neuroimaging modalities for characterization and real-time decoding of brain activity.  ...  As a result of these investigations, it is now possible to decode aspects of speech directly from neural activity toward the development of neuroprosthetic devices for individuals with severe neuromuscular  ...  A recent study by Kanas et al. (2014) performed spatio-spectral feature clustering of ECoG recordings in order to detect speech activity from one subject during a syllable repetition task, achieving an  ... 
doi:10.1007/s13534-015-0175-1 fatcat:6kptd6iie5a4lbmzc3d3z3yxba

A Spatial Map of Onset and Sustained Responses to Speech in the Human Superior Temporal Gyrus

Liberty S. Hamilton, Erik Edwards, Edward F. Chang
2018 Current Biology  
response properties are the main organizing feature of the STG, not phonemes d Onset and sustained electrodes determine sentence start and identity in a decoder  ...  Graphical Abstract Highlights d Human STG is divided into two regions with onset and sustained responses to speech d Onset selective regions are located posteriorly, and sustained are more anterior d These  ...  To derive meaning from speech, we must extract multiple dimensions of concurrent information from incoming speech signals.  ... 
doi:10.1016/j.cub.2018.04.033 pmid:29861132 fatcat:3g6p3vwfyfgxdhgx426ycjpn2y

Rapid tuning shifts in human auditory cortex enhance speech intelligibility

Christopher R. Holdgraf, Wendy de Heer, Brian Pasley, Jochem Rieger, Nathan Crone, Jack J. Lin, Robert T. Knight, Frédéric E. Theunissen
2016 Nature Communications  
This plasticity reflects increased sensitivity to spectrotemporal features, enhancing the extraction of more speech-like features from a degraded stimulus and providing the physiological basis for the  ...  observed 'perceptual enhancement' in understanding speech.  ...  Acknowledgements We would like to thank Fionnuala Howell and Rebecca Krasnoff for running the behavioural studies, Matar Haller for brainstorming analysis and troubleshooting ideas, Elena Golumbic for  ... 
doi:10.1038/ncomms13654 pmid:27996965 pmcid:PMC5187445 fatcat:a2lnjws4vnawhi7qoz6p3otw5a

Decoding spoken words using local field potentials recorded from the cortical surface

Spencer Kellis, Kai Miller, Kyle Thomson, Richard Brown, Paul House, Bradley Greger
2010 Journal of Neural Engineering  
We found that the pattern of electrodes with the highest accuracy changed for each word, which supports the idea that closely spaced micro-electrodes are capable of capturing neural signals from independent  ...  We used a grid of closely spaced, nonpenetrating microelectrodes to record local field potentials (LFPs) from the surface of face motor cortex and Wernicke's area.  ...  The authors thank Kristin Kraus for her editorial assistance, the EEG staff for assistance in conducting the study, and the patient who agreed to participate in the study.  ... 
doi:10.1088/1741-2560/7/5/056007 pmid:20811093 pmcid:PMC2970568 fatcat:qvv4smgeqbgwhj4vuq26j4rulu

Quantifying auditory event-related responses in multichannel human intracranial recordings

2010 Frontiers in Computational Neuroscience  
We will examine how complementary methods can be combined to evaluate statistically signifi cant changes in multiple aspects of auditory event-related ECoG activity: evoked responses, spectral responses  ...  Intracranial recordings of event-related activity, or electrocorticography (ECoG), are based on high density electrode arrays implanted directly over cortex, combining good temporal and spatial resolution  ...  Spectral responses that differed signifi cantly from their respective baselines are shown for (A) tones and (B) speech.  ... 
doi:10.3389/fncom.2010.00004 pmid:20428513 pmcid:PMC2859880 fatcat:mvbqlk3jm5gtfog7qp4oh5xfom

Creating the Feedback Loop

Adam O. Hebb, Jun Jason Zhang, Mohammad H. Mahoor, Christos Tsiokos, Charles Matlack, Howard Jay Chizeck, Nader Pouratian
2014 Neurosurgery clinics of North America  
This open-loop design is effective for movement disorders, but therapy may be further optimized by a closed loop design.  ...  This review addresses advances to date, not of the technology per se, but of the strategies to apply neuronal signals to trigger or modulate stimulation systems.  ...  joint movements 61 .  ... 
doi:10.1016/ pmid:24262909 pmcid:PMC4058859 fatcat:cvxhliuwpzhlxoh3buyll62izu

Delta/theta band EEG differentially tracks low and high frequency speech envelopes [article]

Felix Bröhl, Christoph Kayser
2020 bioRxiv   pre-print
This was independent of the specific carrier frequency but sensitive to attentional manipulations, and reflects the context-dependent emphasis of information from distinct spectral ranges of the speech  ...  The representation of speech in the brain is often examined by measuring the alignment of rhythmic brain activity to the speech envelope.  ...  By this we ensured 228 that the stimuli were in no relation to the brain signal, while still maintaining their spatially and 229 spectrally distinct autocorrelation.  ... 
doi:10.1101/2020.07.26.221838 fatcat:d2kho6jtrbbdpfz7dtcloj6zia

Delta/theta band EEG differentially tracks low and high frequency speech-derived envelopes

Felix Bröhl, Christoph Kayser
2021 NeuroImage  
This was independent of the specific carrier frequency but sensitive to attentional manipulations, and may reflect the context-dependent emphasis of information from distinct spectral ranges of the speech  ...  The representation of speech in the brain is often examined by measuring the alignment of rhythmic brain activity to the speech envelope.  ...  (i.e. 0.2 -0.83 kHz), suggesting that spectrally segregated acoustic envelope features are reflected in neurophysiological processes that either arise from spatially distinct configurations, or which  ... 
doi:10.1016/j.neuroimage.2021.117958 pmid:33744458 fatcat:5qxqerx3grhz5ae73doysizvta

Current Challenges Facing the Translation of Brain Computer Interfaces from Preclinical Trials to Use in Human Patients

Maxwell D. Murphy, David J. Guggenmos, David T. Bundy, Randolph J. Nudo
2016 Frontiers in Cellular Neuroscience  
In addition, ECoG has the ability to expand the extent of spatial coverage relative to MEAs. For example, signals can be detected and decoded simultaneously from M1, PMd, and S1.  ...  However, as the EEG signal detection is somewhat distant to the site of interest (e.g., the precentral gyrus) there is an inherent limitation to spatial and spectral resolution during signal acquisition  ... 
doi:10.3389/fncel.2015.00497 pmid:26778962 pmcid:PMC4702293 fatcat:alc4ftoaz5bqxawmy3voimaovi

Parallel streams define the temporal dynamics of speech processing across human auditory cortex [article]

Liberty S Hamilton, Erik Edwards, Edward F Chang
2016 bioRxiv   pre-print
regions that detect important cues for parsing natural speech.  ...  To derive meaning from speech, we must extract multiple dimensions of concurrent information from incoming speech signals, including phonetic and prosodic cues.  ...  This work was supported by grants from the NIH (F32 DC014192-01 Ruth L. Kirschstein postdoctoral fellowship, to LSH, and DP2-OD00862 and R01-DC012379 to EFC).  ... 
doi:10.1101/097485 fatcat:5ihc2jh4dfak3kth2lbb5dk5im

The Phonetics-Phonology Relationship in the Neurobiology of Language [article]

Mirko Grimaldi
2017 bioRxiv   pre-print
I suggest that this hypothesis is suitable to explain hierarchical layout of auditory cortex highly specialized in analyzing different aspects of the speech signal and to explain learning and memory processes  ...  This classical issue is discussed in the light of recent neurophysiological data which, thanks to direct measurements of temporal and spatial brain activation, provide new avenues to investigate the biological  ...  Acknowledgements I wish to thank two anonymous reviewers for their useful comments on the first version of the manuscript that have permitted me to improve the work.  ... 
doi:10.1101/204156 fatcat:x5vq2tg7ivggpprf6cbsgpzbie

Reconstructing the spectrotemporal modulations of real-life sounds from fMRI response patterns

Roberta Santoro, Michelle Moerel, Federico De Martino, Giancarlo Valente, Kamil Ugurbil, Essa Yacoub, Elia Formisano
2017 Proceedings of the National Academy of Sciences of the United States of America  
Results Sound Reconstruction from fMRI Activity Patterns.  ...  These results suggest that the modulation representation is crucial for the decoding of complex sounds from fMRI activity patterns.  ...  The combined analysis of signals from multiple voxels increases the sensitivity for information that may be represented in spatial patterns of activity rather than activation levels.  ... 
doi:10.1073/pnas.1617622114 pmid:28420788 pmcid:PMC5422795 fatcat:pl65sly35rdarfgkrt4qxw4s5u

Silent Speech Interfaces for Speech Restoration: A Review

Jose A. Gonzalez-Lopez, Alejandro Gomez-Alanis, Juan M. Martin-Donas, Jose L. Perez-Cordoba, Angel M. Gomez
2020 IEEE Access  
From the biosignals, SSIs decode the intended message, using automatic speech recognition or speech synthesis algorithms.  ...  For instance, EMG and imaging techniques are well suited for laryngectomised patients, whose vocal tract remains almost intact but are unable to speak after the removal of the vocal folds, but fail for  ...  Broadband gamma activity feature vectors extracted from the ECoG signals were mapped onto a log-power spectra representation of the speech signal.  ... 
doi:10.1109/access.2020.3026579 fatcat:yvvaebeavfdfrav73sfs62a5dm

Focal versus distributed temporal cortex activity for speech sound category assignment

Sophie Bouton, Valérian Chambon, Rémi Tyrand, Adrian G. Guggisberg, Margitta Seeck, Sami Karkar, Dimitri van de Ville, Anne-Lise Giraud
2018 Proceedings of the National Academy of Sciences of the United States of America  
signal detection theory (−d′).  ...  Interpreting broadly distributed spatial maps for speech sounds can be particularly difficult.  ... 
doi:10.1073/pnas.1714279115 pmid:29363598 pmcid:PMC5819402 fatcat:74omf4kokbay5bbgos5ygmd6ua
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