Publications

2020 Peer-Reviewed

2019 Peer-Reviewed

2018 Peer-Reviewed

2018 Books

2017 Peer-Reviewed

2016 Peer-Reviewed

  • Akalin Acar, Z., Acar, C., Makeig, S. “Simultaneous head tissue conductivity and independent EEG source location estimation.” NeuroImage, 124: 168-180, 2016
  • Wagner, J., Makeig, S., Gola, M., Neuper, C., Mueller-Putz, G. “Distinct beta band oscillatory networks subserving motor and cognitive control during gait adaptation.” J Neurosci, 37,7:2212-2226, 2016
  • Nonoda, Y., Miyakoshi, M., Ojeda, A., Makeig, S., Juhász, C., Sood, S., Asano, E. “Interictal high-frequency oscillations generated by seizure onset and eloquent areas may be differentially coupled with different slow waves.” Clinical Neurophysiology 127 (6), 2489-2499, 2016
  • Bigdely-Shamlo, N., Makeig, S., Robbins, K. "Preparing laboratory and real-world EEG data for large-scale analysis: A containerized approach." Frontiers in Neuroinformatics, 08 March 2016, 2016
  • Piazza, C., Cantiani, C., Akalin-Acar, Z., Miyakoshi, M., Benasich, A.A., Reni, G., Bianchi, A.M., Makeig, S. “ICA-derived cortical responses indexing rapid multi-feature auditory processing in six-month-old infants.” NeuroImage, 133, 75-87, 2016.
  • Cruz, G., Miyakoshi, M., Makeig, S., Kilborn, K., Evans, J. “ERPs and their brain sources in perceptual and conceptual prospective memory tasks: Commonalities and differences between the two tasks.” Neuropsychologia 91:173-185. 2016.
  • Bigdely-Shamlo, N., Cockfield, J., Makeig, S., Rognon, T., La Valle, C., Miyakoshi, M., Robbins, K. “Hierarchical Event Descriptors (HED): Semi-structured tagging for real-world events in large-scale EEG.” Frontiers in Neuroinformatics 17 October 2016, DOI=10.3389/fninf.2016.00042, 2016.
  • Brunner, C., Billinger, M., Seeber, M., Mullen, T.C., Makeig, S. “Volume conduction and scalp-based connectivity analysis.” Frontiers in Computational Neuroscience, 10, 121, 2016.
  • Wu, D., Chin, Y-T., Chuang, C-H, Lin, C-T., Jung, T-P., Spatial Filtering for EEG-Based Regression Problems in Brain-Computer Interface (BCI), IEEE Transactions on Fuzzy Systems, in press.
  • Nakanishi, M., Wang, Y.-T., Jung, T.-P., Zao, J.K., Chien, K.-Y., Diniz-Filho, A., Daga, F.B., Lin, Y.-P., Wang, Y.,  Medeiros, F.A. "Detecting glaucoma with a portable brain-computer interface for objective assessment of visual function loss" , JAMA Ophthalmol., in press.
  • Nakanishi, M., Wang, Y., Chen, X., Wang, Y.-T., Gao, X., Jung, T.-P., "Enhancing detection of SSVEPs for a high-speed brain speller using task-related component analysis" , IEEE Trans. Biomed. Eng., in press.
  • Huang, L-Y., She, H-C., and Jung, T-P., Neural Oscillation Correlates Chemistry Decision-Making, Internal Journal of Neural Systems, in press.
  • Wu, D., Lance, B.J., Lawhern, V.J., Gordon, S., Jung, T-P., Lin, C-T.,  EEG-Based User Reaction Time Estimation Using Riemannian Geometry Features, IEEE Trans. Neural Syst. Rehab. Eng., in press.
  • Nakanishi, M., Wang, Y., Chen, X., Wang, Y.-T., Gao, X., Jung, T.-P., "Enhancing detection of SSVEPs for a high-speed brain speller using task-related component analysis" , IEEE Trans. Biomed. Eng., in press. 
  • Ross J.M., Iversen, J.R., Balasubramaniam, R. (2016) Motor simulation theories of musical beat perception. Neurocase, doi:10.1080/13554794.2016.1242756
  • Masaki Nakanishi, Yu-Te Wang, et al., “Detecting Glaucoma With a Portable Brain-Computer Interface for Objective Assessment of Visual Function Loss”, JAMA Ophthamology, in press.
  • Onton, J. A., Kang, D. Y., & Coleman, T. P. (2016). Visualization of Whole-Night Sleep EEG From 2-Channel Mobile Recording Device Reveals Distinct Deep Sleep Stages with Differential Electrodermal Activity. Frontiers in Human Neuroscience, 10.
  • Gola, M. & Potenza, M. (2016) Paroxetine Treatment of Compulsive Pornography Consumption – A Case Series. Journal of Behavioral Addictions. 5 (3), 529-532. DOI: 10.1556/2006.5.2016.046
  • Okruszek, Ł., Wichniak, A., Jarkiewicz, M., Schudy, A., Gola, M., Jednoróg, K., Marchewka, A., & Łojek, E. (2016). Social and nonsocial affective processing in schizophrenia–An ERP study. International Journal of Psychophysiology.  107; 54-62; DOI: 10.1016/j.ijpsycho.2016.06.007
  • L. Pion-Tonachini, R. Martinez-Cancino, K. Kreutz-Delgado, S. Makeig. Crowdsourced label learning for independent components of EEG data. Program No. 271.01. 2016 Neuroscience Meeting Planner. San Diego, CA: Society for Neuroscience, 2016. Online. 
  • Gola, M. (2016) Decreased LPP for sexual images in problematic pornography users may be consistent with addiction models. Everything depends on the model. Biological Psychology, 120, 156-158 DOI: 10.1016/j.biopsycho.2016.05.003
  • Gola, M. (2016). Mechanizmy, nie symptomy: drogowskaz do pracy z pacjentem z kompulsywnymi zachowaniami seksualnymi. [Mechanisms, not symptoms – a guideline for therapy of compulsive sexual behaviors]. Sexology Review 2(46) 2-18
  • Wagner, J., Makeig, S., Gola, M., Neuper, C., & Müller-Putz, G. (2016). Distinct β band oscillatory networks subserving motor and cognitive control during gait adaptation. Journal of Neuroscience, 36(7), 2212-2226.
  • Gola, M. (2016). Problematic pornography consumption - Psychological, behavioral and neurobiological aspects. Annual Report of Polish Academy of Sciences, 2016, 22-24.
  • Hierarchical Event Descriptors (HED): Semi-Structured Tagging for Real-World Events in Large-Scale EEG. Nima Bigdely-Shamlo, Jeremy Cockfield, Scott Makeig, Thomas Rognon, Chris La Valle, Makoto Miyakoshi, Kay A. Robbins. Frontiers in Neuroinformatics 10(42) 1-13 Oct 2016
  • ERPs and their brain sources in perceptual and conceptual prospective memory tasks: Commonalities and differences between the two tasks. Gabriela Cruz, Makoto Miyakoshi, Scott Makeig, Kerry Kilborn, Jonathan Evans. Neuropsychologia 91 173-185 Oct 2016
  • How the non-attending brain hears its owner’s name. Toshiki Nakane, Makoto Miyakoshi, Toshiharu Nakai, Shinji Naganawa. Cerebral Cortex 26(10) 3889-3904 Oct 2016
  • An Automated Function for Identifying EEG Independent Components Representing Bilateral Source Activity. Caterina Piazza , Makoto Miyakoshi, Zeynep Akalin-Acar, Chiara Cantiani, Gianluigi Reni, Anna Maria Bianchi, Scott Makeig. XIV Mediterranean Conference on Medical and Biological Engineering and Computing 2016 57 105-109 Sep 2016
  • ERPs and their brain sources in perceptual and conceptual prospective memory tasks: Commonalities and differences between the two tasks. Gabriela Cruz, Makoto Miyakoshi, Scott Makeig, Kerry Kilborn, Jonathan Evans.. Neuropsychologia (91) 173-185 Aug 2016

2016 Books

  • Gola, M. (2016). “Neuronalne mechanizmy nałogowych zachowań” [Neural mechanisms of behavioral addictions] In B. Habrat (Ed.). “Zaburzenia uprawiania hazardu i inne tak zwane nałogi behawioralne” [Handbook of pathological gambling and other behavioral addictions], (pp. 54-70). Wydawnictwo Instytutu Psychiatrii i Neurologii, Warsaw. ISBN 978-83-61705-29-1.
  • Gola, M. (2016). “Podstawy neurokognitywistyki” [The Origins of Cognitive Neuroscience] Chapter in: Bremer J. “Przewodnik po kognitywistyce” [Handbook of Cognitive Science]. Wydawnictwo WAM. Kraków. [in Polish], (pp. 413-445).
    Hiraki K., Kanayama, N., Kochiyama, T., Matsumoto, A., Miyakoshi, M. (2016). Introduction to EEG analysis. Make most of EEGLAB and SPM (In Japanese). Tokyo University Press
  • Iversen, J. R. (2016). In the beginning was the beat: Evolutionary origins of musical rhythm in humans In R. Hartenburger (Ed.), The Cambridge Companion to Percussion, (pp. 267-280). Cambridge: Cambridge University Press.
  • Lance, B., Touryan, J., Wang, Y. K., Lu, S.W., Chuang, C.H., Khooshabeh, P., Sajda, P., Marathe, A., Jung, T-P., Lin, C-T., McDowell, K. (2016). Towards serious games for improved BCI In Nakatsu, Rauterberg, & Ciancarini (Eds.), Handbook of Digital Games and Entertainment Technologies (pp.194-224). Springer Singapore.
  • Tanaka, H., Miyakoshi, M., Makeig, S. (2016). Coordinate systems in the motor system: computational modeling and EEG experiment. In R. Wang & X. Pan (Eds.), Advances in Cognitive Neurodynamics (V), (pp.85-92). Springer.

2015 Peer-Reviewed

  • Lin, C-L., Jung, M., Wu., Y.C., She, H.C., Jung, T-P. “Neural Correlates of Mathematical Problem Solving,” International Journal of Neural Systems, 25(2), 2015. DOI: 10.1142/S0129065715500045.
  • Lin, F.C., Chien, Y.Y., Zao, J.K., Huang, Y.P., Ko, L.W., Shieh, H.P.D., Wang, Y., Jung, T-P. "High-frequency polychromatic visual stimuli for new interactive display systems", SPIE Newsroom. DOI: 10.1117/2.1201504.005851, 2015.
  • Lin, C-T, Wang, Y-K., Chen, S-A., Jung, T-P., “EEG-Based Attention Tracking during Distracted Driving,” IEEE Transactions on Neural Systems & Rehabilitation Engineering, 23(6):1085-94, 2015. doi: 10.1109/TNSRE.2015.2415520.
  • Chen, X., Wang, Y., Gao, S., Jung, T-P., Gao, X. Filter bank canonical correlation analysis for implementing a high-speed SSVEP-based brain-computer interface, Journal of Neural Engineering, 12(4):046008, 2015 doi:10.1088/1741-2560/12/4/046008. 
  • Chou, W-C., Duann, JR, She, H-C., Huang, L-Y., Jung, T-P., “Explore the functional connectivity between brain regions during a chemistry working memory task,” PLoS One, 2015 Jun 3;10(6):e0129019. doi: 10.1371/journal.pone.0129019.
  • Mullen, T.,  Kothe, C., Chi, Y., Ojeda, A., Kerth, T., Makeig, S., Jung, T-P., Cauwenberghs, G., “Real-time Neuroimaging and Cognitive Monitoring Using Wearable Dry EEG,”  IEEE Transactions on Biomedical Engineering, 62(11):2553-67, 2015.  doi: 10.1016/j.jbi.2015.09.019.
  • Chen, X., Wang, Y., Nakanishi, M., Gao, X., Jung, T-P., Gao, S., “High-speed spelling with a noninvasive brain-computer interface,” Proceedings of the National Academy of Sciences (PNAS), 2015. Nov 3;112(44):E6058-67. doi: 10.1073/pnas.1508080112.
  • Nakanishi, M., Wang, Y., Wang, Y-T., Jung, T-P., “A Comparison Study of Canonical Correlation Analysis Based Methods for Detecting Steady-State Visual Evoked Potentials,” PLoS ONE 10(10): e0140703. doi: 10.1371/journal.pone.0140703
  • Bowd, C., Yousefi, S., Goldbaum, M.H., Varnousfaderani, E., Belghith, A., Jung, T-P., Medeiros, F.A., Zangwill, L.M., Weinreb, R.N., Liebmann, J.M., Girkin, C.A., “Detecting glaucomatous change in visual fields: Analysis with an optimization framework,” Journal of Biomedical Informatics, 2015 Oct 6. pii: S1532-0464(15)00213-0. doi: 10.1016/j.jbi.2015.09.019.
  • Hsu, S-H., Mullen, T., Jung, T-P., Cauwenberghs, G., “Real-time Adaptive EEG Source Separation using Online Recursive Independent Component Analysis,”  IEEE Transactions on Neural Systems & Rehabilitation Engineering, 2016 Mar;24(3):309-19.
  • Lin, C-T., Chuang, C-H., Kerick, S., Mullen, T., Jung, T-P., Ko, L-W., Chen, S-A., King, J-T.  & McDowell, K. A Mind-Wandering Tends to Occur under Low Perceptual Demands during Driving, Scientific Report, 2016 Feb 17;6:21353.
  • Huang, K. C., Huang, T-Y., Chuang, C-H., King, J-T., Wang, Y-K., Lin, C-T. & Jung, T-P.  “An EEG-based Fatigue Prediction and Mitigation System,” International Journal of Neural Systems, 2016 Jun;26(4):1650018. 
  • Li, J., Wang, Y., Zhang, L., Cichocki, A., Jung, T-P. “Decoding EEG in Cognitive Tasks with Time-Frequency and Connectivity Masks,”  IEEE Transactions on Cognitive and Developmental Systems, 2016.
  • Wang, Y-T, Nakanishi, M., Wang, Y., Wei, C-S., Cheng, C-K., Jung, T-P., An Online Brain-Computer Interface Based on SSVEPs Measured from Non-Hair-Bearing Areas, IEEE Transactions on Neural Systems & Rehabilitation Engineering, in press.
  • Congedo, M., Korczowski, L., Delorme, A., Lopes da Silva, F. (2016) Spatio-temporal common pattern: A companion method for ERP analysis in the time domain. J Neurosci Methods. 2016 Jul 15;267:74-88. doi: 10.1016/j.jneumeth.2016.04.008.
  • Delorme, A., Pierce, A., Michel, L., Radin, D. (2016) Prediction of Mortality Based on Facial Characteristics. Front. Hum. Neurosci., 17 May 2016. http://dx.doi.org/10.3389/fnhum.2016.00173.
  • Durantin, G., Dehais, F., Delorme, A. Characterization of mind wandering using fNIRS, Frontiers in System Neurosciences, 2015. doi: 10.3389/fnsys.2015.00045.
  • Durantin, G., Scannella, S., Gateau, T., Delorme, A., Dehais, F. (2015) Processing Functional Near Infrared Spectroscopy Signal with a Kalman Filter to Assess Working Memory during Simulated Flight. Front Hum Neurosci. 2016 Jan 19;9:707. doi: 10.3389/fnhum.2015.00707. eCollection 2015.
  • Iversen, J.R., Balasubramaniam, R. (2016): Synchronization and Temporal Processing. Current Opinion in Behavioral Sciences 8:175-180
  • Iversen, J.R., Patel, A.D., Nicodemus, B., Emmorey, K. Synchronization to auditory and visual rhythms in hearing and deaf individuals. Cognition, 2015, 134:232–44.
  • Courellis, H.S., Peterson, D., Poizner, H., Cauwenberghs, G., Iversen, J.R. (2015). EEG Based Inference of Causal Cortical Network Dynamics in Reward-Based Decision Making. IEEE Biological Circuits and Systems (BioCAS).
  • Wu, Y.C. & Coulson, S. (2015)  Iconic gestures facilitate discourse comprehension in individuals with superior immediate memory for body configurations. Psychological Science. doi:10.1177/0956797615597671
  • Lin, C-L., Jung, M., Wu, Y. C., She, H-C, Jung, T-P. (2015). Brain dynamics of mathematical problem solving. International Journal of Neural Systems, 25 (2), 1550004 -15500021.  DOI: 10.1142/S0129065715500045. 
  • J. A. Palmer, S. Makeig, and K. Kreutz-Delgado, An EM Algorithm for Maximum Likelihood Estimation of Barndorff-Nielsen's Generalized Hyperbolic Distribution, IEEE Workshop on Statistical Signal Processing, La Palma, Mallorca, 2016.
  • J. A. Palmer, S. Makeig, and K. Kreutz-Delgado, A Generalized Multivariate Logistic Model and EM Algorithm based on the Normal Variance Mean Mixture Representation, IEEE Workshop on Statistical Signal Processing, La Palma, Mallorca, 2016.
  • Gola, M., Lewczuk, K. & Skorko, M. (2016) What matters: quantity or quality of pornography use? Psychological and behavioral factors of treatment seeking for problematic pornography consumption. Journal of Sexual Medicine, 13 (5), 815-824
  • Gola, M. (2016) Decreased LPP for sexual images in problematic pornography users may be consistent with addiction models. Everything depends on the model. Biological Psychology. DOI: 10.1016/j.biopsycho.2016.05.003
  • Gola, M., Skorko, M., Kowalewska, E., Kołodziej, A., Sikora, M., Wodyk, M., Wodyk, Z. and Dobrowolski, P. (2016) Polish adaptation of Sexual Addiction Screening Test - Revised. Polish Psychiatry, 41; 1-40 DOI: 10.12740/PP/OnlineFirst/61414
  • Gola, M., Wordecha, M., Sescousse, G., Lew-Starowicz., M., Kossowski, B., Wypych, M., Potenza, M. & Marchewka, A. (2016) Can pornography be addictive? An fMRI study of men seeking treatment for problematic pornography use.  BioRxiv, DOI: http://dx.doi.org/10.1101/057083  
  • Wagner, J., Makeig, S., Gola, M., Neuper, C. & Müller-Putz, G. (2016)  Distinct beta band oscillatory networks subserving motor and cognitive control during gait adaptation. Journal of Neuroscience 36(7), 2212-2226.   
  • Wichniak, A., Jarkiewicz, M., Schudy, A., Gola, M., Jednoróg, K., Marchewka, A., & Łojek, E. (2016). Social and nonsocial affective processing in schizophrenia–An ERP study. International Journal of Psychophysiology. DOI: 10.1016/j.ijpsycho.2016.06.007
  • Gola, M., Miyakoshi, M. & Sescousse, G. (2015) Sex, impulsivity and anxiety: interplay between ventral striatum and amygdala reactivity in problematic sexual behaviors. Journal of Neuroscience, 35(46), 15227-15229  
  • Wierzba, M., Riegel, M., Pucz, A., Lesniewska, Z., Dragan, W., Gola, M., Jednoróg, K., Marchewka, A. (2015)  Erotic subset for the Nencki Affective Picture System (NAPS ERO): cross-sexual comparison study. Frontiers in Psychology, 6, 1336
  • Winkielman, P., Olszanowski, M., & Gola. M. (2015). Faces in between:  Evaluative responses to faces reflect the interplay of features and task-dependent fluency.  Emotion, 15(2), 232-242
  • Gola, M., Kowalewska, E., Wierzba, M., Wordecha, M., Marchewka, A. (2015). Polish Adaptation of the Sexual Arousability Inventory SAI-PL and validation for the males. Psychiatria 12 (4), 245-254.
  • Gola, M., Wordecha, M., Sescousse, G. & Marchewka, A. (in press). Visual sexual stimuli –rewards rather than cues. A key to studies on out of control sexual behaviors. Frontiers in Human Neuroscience.
  • Gola, M., Wordecha, M., Sescousse, G., Kossowski, B. & Marchewka, A. (2015). Increased sensitivity to erotic reward cues in subjects with compulsive sexual behaviors. Journal of Behavioral Addictions 4, 16-18
  • Gola, M. (2016) One or multiple neural mechanisms of problematic pornography use? Journal of Behavioral Addictions 5 (S1), 16
  • Gola, M., Lew-Starowicz, M., Wordecha, M., Sescousse, G., Kossowski, B., Wypych, M., & Marchewka, A. (2016). Brain mechanisms underlying out-of-control sexual behaviors. The Journal of Sexual Medicine, 13(5), S83.
  • Gola, M. & Potenza, M. (in press) Paroxetine Treatment of Compulsive Pornography Consumption – A Case Series. Journal of Behavioral Addictions.
  • Gola, M. (in press). Mechanizmy, nie symptomy: drogowskaz do pracy z pacjentem z kompulsywnymi zachowaniami seksualnymi. [Mechanisms, not symptoms: directions for compulsive sexual behavior treatment]. Terapia poznawczo-behawioralna. [in Polish]
  • Gola, M. (in press). Terapia pacjenta z depresją na tle kompulsywnych zachowań seksualnych - opis przypadku. [Case study of mood disorders treatment with underlying compulsive sexual behaviors]. Terapia poznawczo-behawioralna.  [in Polish]
  • Gola, M. (in press). Psychological, behavioral and neuronal aspects of problematic pornography use. Annual Report of Polish Academy of Scienes.
  • Yutaka Nonoda · Makoto Miyakoshi · Alejandro Ojeda · Scott Makeig · Csaba Juhász · Sandeep Sood · Eishi Asano. (2016). Interictal high-frequency oscillations generated by seizure onset and eloquent areas may be differentially coupled with different slow waves. Clinical Neurophysiology (epub ahead)
  • Caterina Piazza · Chiara Cantiani · Zeynep Akalin-Acar · Makoto Miyakoshi · April A. Benasich · Gianluigi Reni · Anna Maria Bianchi · Scott Makeig. (2016). ICA-derived cortical responses indexing rapid multi-feature auditory processing in six-month-old infants. NeuroImage (epub ahead).
  • Caterina Piazza · Makoto Miyakoshi · Zeynep Akalin-Acar · Chiara Cantiani · Gianluigi Reni · Anna Maria Bianchi · Scott Makeig. (2016). An Automated Function for Identifying EEG Independent Components Representing Bilateral Source Activity. XIV Mediterranean Conference on Medical and Biological Engineering and Computing 2016. IFMBE Proceedings, 57:105-109.
  • Gola M, Miyakoshi M, Sescousse G. (2015). Sex, Impulsivity, and Anxiety: Interplay between Ventral Striatum and Amygdala Reactivity in Sexual Behaviors. The Journal of Neuroscience, 35:15227-15229.
  • Nakane T, Miyakoshi M, Nakai T, Naganawa S. (2015). How the non-attending brain hears its owner’s name. Cerebral Cortex. (epub ahead)
  • Lee C, Miyakoshi M, Delorme A, Cauwenberghs G, Makeig S. (2015). Non-parametric statistics for group-level envtopo; an EEGLAB extension. Conference Proceeding of IEEE Engineering in Medicine and Biology Society 2015, 7450 - 7453.
  • Balkan O, Virji-Babul N, Miyakoshi M, Makeig S, Garudadri H. (2015). Source-domain Spectral EEG Analysis of Sports-Related Concussion via Measure Projection Analysis. Conference Proceeding of IEEE Engineering in Medicine and Biology Society 2015, 4053-6.
  • L. Pion-Tonachini; S. H. Hsu ; S. Makeig ; T. P. Jung ; G. Cauwenberghs. Real-time EEG Source-mapping Toolbox (REST): Online ICA and source localization. EMBC. Milano, Italy, August 2015
  • S. H. Hsu ; L. Pion-Tonachini; S. Makeig ; T. P. Jung ; G. Cauwenberghs. Tracking Non-Stationary EEG Sources Using Adaptive Online Recursive Independent Component Analysis. EMBC. Milano, Italy, August 2015
  • L. Pion-Tonachini; Z. Akalin-Acar; S. Ward; K. Kreutz-Delgado; S. Makeig. Modeling Brain-Body Dynamics using EMG Source Imaging. Sloan-Swartz Meeting Ashburn, VA, USA 08/2015
  • L. Pion-Tonachini; K. Kreutz-Delgado; S. Makeig; Modeling Cortical Signals Accompanying Upper Limb Movement Frontiers of Innovation Scholars Program (FISP) Symposium. La Jolla, USA 12/2015
  • Ozgur Balkan, Kenneth Kreutz-Delgado, Scott Makeig. Covariance-domain Dictionary Learning for Overcomplete EEG Source Identification. arXiv preprint arXiv:1512.00156, 2015
  • Winkielman, P., Olszanowski, M., Gola, M. (2015). Faces in between:  Evaluations reflect the interplay of facial features and task-dependent fluency.  Emotion, 15(2), 232-242. doi: 10.1037/emo0000036

2014 Peer-Reviewed

  • Lin, Y-P., Wang, Y., Jung, T-P. Assessing the Feasibility of Online SSVEP Decoding in Human Walking Using a Consumer EEG Headset, Journal of NeuroEngineering and Rehabilitation, 2014, 11:119  doi:10.1186/1743-0003-11-119.
  • Lin, Y-P., Wang, Y., Wei, C-S., Jung, T-P. Assessing the Quality of Steady-state Visual-evoked Potentials for Moving Humans Using a Mobile Electroencephalogram Headset, Frontiers in Human Neuroscience, 8: 182, 2014. doi: 10.3389/fnhum.2014.00182.
  • Lenartowicz, A., Walshaw, P.D., Cho, A.L., Bilder, R., McGough, J., McCracken, J.T., Delorme, A., Makeig, S., Loo, S.K. “Attention mechanisms underlie spatial working memory deficits in ADHD,” Journal of Neuroscience, 34(4):1171-82, 2014.
  • Tarasenko, M.A., Swerdlow, N.R., Makeig, S., Braff, D.L., Light, G.A. “The auditory brain-stem response to complex sounds: a potential biomarker for guiding treatment of psychosis.” Frontiers in Psychiatry, published 2014, Oct. 13. doi: 10.3389/fpsyt.2014.00142.
  • Broccard, F., Mullen, T., Chi, Y. M., Peterson, D., Iversen, J. R., Arnold, M. P., Kreutz-Delgado, K., Jung, T.-P., Makeig, S., Poizner, H., Sejnowski, T. J., Cauwenberghs, G. Closed-loop Brain-Machine-Body Interfaces for Noninvasive Rehabilitation of Movement Disorders, Annals of Biomedical Engineering, 2014. DOI: 10.1007/s10439-014-1032-6.
  • Rissling, A.J., Miyakoshi, M., Sugar, C.A., Braff, D.L., Makeig, S., Light, G.A. “Cortical substrates and functional correlates of auditory deviance processing deficits in schizophrenia,” NeuroImage: Clinical 6:424-37, 2014.
  • Tsai, A.C., Jung, T-P., Chien, V., Savostyanov, A.N., Makeig, S. “Cortical Surface Alignment in Multi-Subject Spatiotemporal Independent EEG Source Imaging,” NeuroImage 87:297-310, 2014.
  • Wu, Y.C., Coulson, S. Co-speech iconic gestures and visuo-spatial working memory.  Acta Psychologica, 2014, 153, 39-50.
  • Wang, Y-T., Huang, K-C., Wei, C-S., Huang, T-Y., Ko, L-W., Lin, C-T., Cheng, C.K., Jung, T-P. Developing an EEG based On-line Closed-loop Lapse Detection and Mitigation System, Frontiers in Neuroscience -Neuroprosthetics, 2014; 8:321. doi: 10.3389/fnins.2014.00321.
  • Lenartowicz, A., Delorme, A., Walshaw, P, Cho, A.L., Bilder, R.M., McGough, J., McCracken, J.T., Makeig, S., Loo, S.K. EEG correlates of spatial working memory deficits in ADHD: vigilance, encoding, and maintenance. The Journal of Neuroscience, 34(4):1171-82, 2014, doi: 10.1523/JNEUROSCI.1765-13.2014.
  • Vieten, C., Estrada, M., Cohen, A.B., Radin, D., Schlitz, M.M., Delorme, A. Engagement in a Community-Based Integral Practice Program Enhances Well-Being. International Journal of Transpersonal Studies, 2014, 33(2), 1-15.
  • Patel, A.D., Iversen, J.R. [Equal contribution] The evolutionary neuroscience of musical beat perception: the Action Simulation for Auditory Prediction (ASAP) hypothesis. Frontiers in Systems Neuroscience, 2014, 8:57.
  • Chen, S-C., She, H-C., Chuang, M-H., Wu, J-Y., Tsai, J-L., Jung, T-P. Eye movements predict students' computer-based assessment performance of physics concepts in different presentation modalities, Computers & Education, 74: 61–72, 2014. doi:10.1016/j.compedu.2013.12.012.
  • Lin, Y-P., Yang, Y-H., Jung, T-P. Fusion of electroencephalogram dynamics and musical contents for estimating emotional responses in music listening, Frontiers in Neuroscience, 8: article 94, 2014. doi: 10.3389/fnins.2014.00094.
  • Schlitz, M., Schooler, J., Pierce, A., Murphy, A., Delorme, A. Gaining perspective on death: Training program and language use outcomes assessment. Spirituality in Clinical Practice, Vol 1(3), Sep. 2014, 169-180. doi: 10.1037/scp0000030.
  • Nakanishi, M., Wang, Y., Wang, Y-T., Mitsukura, Y., Jung, T-P. Generating Visual Flickers for Eliciting Robust Steady-State Visual Evoked Potentials at Flexible Frequencies Using Monitor Refresh Rate, PLoS ONE, 2014, Jun 11;9(6):e99235. doi: 10.1371/journal.pone.0099235.
  • Delorme, A., Miyakoshi, M., Jung, T-P., Makeig, S. Grand average ERP-image and statistics: A method for comparing variability in event-related single-trial EEG activities across subjects and conditions, Journal of Neuroscience Methods, 2014. doi:10.1016/j.jneumeth.2014.10.003.
  • Nakanishi, M., Wang, Y., Wang, Y-T., Mitsukura, Y., Jung, T-P. A high-speed brain speller using steady-state visual evoked potentials, International Journal of Neural Systems, 24(6):1450019, 2014. doi: 10.1142/S0129065714500191.
  • Wu, Y.C., Coulson, S. Iconic gestures facilitate discourse comprehension in individuals with superior immediate memory for body configurations. Psychological Science.
  • Chuang, C-H., Lin, Y-P., Ko, L-W., Jung, T-P., Lin, C-T. Independent Component Ensemble of EEG for Brain-Computer Interface, IEEE Trans Neural System and Rehabilitation Engineering, 22(2): 230-8, 2014. doi:10.1109/TNSRE.2013.2293139.
  • Huang, X., Huang, L., Jung, T-P., Cheng, C.K., Mandell, A.J. Intrinsic Mode Functions Locate Implicit Turbulent Attractors in Time in Frontal Lobe MEG Recordings, Neuroscience, 267: 91-101, 2014. doi: 10.1016/j.neuroscience.2014.02.038.
  • Chuang, C-H., Ko, L-W., Jung, T-P, Lin, C-T. Kinesthesia in a sustained-attention driving task, NeuroImage, 2014. doi: 10.1016/j.neuroimage.2014.01.015.
  • Balkan, O., Kreutz-Delgado, K., Makeig, S. “Localization of More Sources Than Sensors via Joint-Sparse Bayesian Learning,” IEEE Signal Processing Letters, 2014, Feb.
  • Leslie, G., Ojeda, A., Makeig, S. “Measuring musical engagement using expressive movement and EEG brain dynamics,” Psychomusicology 24:1,75-91, 2014.
  • Wu, Y. C., Coulson, S. Movement span: A test of immediate memory for body movements. PLoS ONE, 2014 doi: 10.1371/journal.pone.0084834.
  • Aagten-Murphy D., Iversen, J.R., Williams, C.L., Meck, W.H. Novel Inversions in Auditory Sequences Provide Evidence for Spontaneous Subtraction of Time and Number. Timing and Time Perception, 2014, 2:188–209.
  • Grandchamp, R., Braboszcz, C., Delorme, A. Oculometric variations during mind wandering. Frontiers in Psychology, 2014, doi: 10.3389/fpsyg.2014.00031.
  • Ojeda, A., Bigdely-Shamlo, N., Makeig, S. “MoBILAB: An open source toolbox for analysis and visualization of mobile brain/body imaging data,” Frontiers in Human Neuroscience, 5;8:121, doi: 10.3389/fnhum.2014.00121, 2014.
  • Zao, J.K., Gan,T-T., You, C-K., Rodríguez Méndez, S.C., Chung, C-E., Wang, Y-T., Mullen, T., Kothe, C., Yu, C., Hsiao, C-T., Chu, S., Shieh, C-K., Jung, T-P. Pervasive Brain Monitoring and Data Sharing based on Multi-tier Distributed Computing and Linked Data Technology, Frontiers in Human Neuroscience, 2014 Jun 3;8:370. doi: 10.3389/fnhum.2014.00370.
  • Artoni, F., Menicucci, D., Delorme, A., Makeig, S., Micera, S. “RELICA: A method for estimating the reliability of independent components,” NeuroImage, 2014. pii: S1053-8119(14)00752-6. doi: 10.1016/j.neuroimage.2014.09.010.
  • Lin, Y-P., Duann, J-R., Feng, W., Chen, J-H., Jung, T-P. Revealing Spatio-spectral Electroencephalographic Dynamics of Musical Mode and Tempo Perception by Independent Component Analysis, Journal of Neural Engineering and Rehabilitation, 11:18, 2014. doi:10.1186/1743-0003-11-18.
  • Zhang, Z., Jung, T-P., Makeig, S., Rao, B.D., Pi, Z. Spatiotemporal Sparse Bayesian Learning with Applications to Compressed Sensing of Multichannel Physiological Signals, IEEE Transactions on Neural Systems & Rehabilitation Engineering, 2014. doi: 10.1109/TNSRE.2014.2319334.
  • Chou, W-C., She, H-C., Lai, K., Gramann, K., Jung, T-P. Temporal Dynamics and Cortical Networks Engaged in Biological Concepts Encoding. Journal of Neuroscience and Neuroengineering, 3(1), 21–35, 2014. doi:10.1166/jnsne.2014.1093.
  • Gramann, K., Jung, T-P., Ferris, D.P., Lin, C-T., Makeig, S. Toward a new cognitive neuroscience: modeling natural brain dynamics, Frontiers in Human Neuroscience, 2014, Jun 19;8:444. doi: 10.3389/fnhum.2014.00444.
  • Balkan, O., Kreutz-Delgado, K., Makeig, S. “Covariance-domain Dictionary Learning for Overcomplete EEG Source Identification,” submitted to IEEE Transactions on Biomedical Engineering, 2015.
  • Light, G.A., Makeig, S. “EEG Biomarkers of Psychosis, Present and Future,” Biological Psychiatry, 2015.
  • Liao, Y., Akalin Acar, Z., Makeig, S., Deak, G. EEG imaging of toddlers during dyadic turn-taking: Mu-rhythm modulation while producing or observing social actions, NeuroImage, 112:52-60, 2015.
  • Winkielman, P., Olszanowski, M., Gola, M. Faces in between: Evaluative responses to faces reflect the interplay of features and task-dependent fluency, Emotion, 15(2), 232-242, 2015.
  • Chen, X., Wang, Y., Gao, S., Jung, T-P., Gao, X. Filter bank canonical correlation analysis for implementing a high-speed SSVEP-based brain-computer interface, Journal of Neural Engineering, 12 046008, 2015. doi:10.1088/1741-2560/12/4/046008
  • Delorme, A., Miyakoshi, M., Jung, T-P., Makeig, S. “Grand average ERP-image plotting and statistics: A method for comparing variability in event-related single-trial EEG activities across subjects and conditions,” Frontiers in Human Neuroscience, 2015.
  • Lin, C-T., Pal, N. R., Wu, S-L., Liu, Y-T., Lin, Y-Y. An Interval Type-2 Neural Fuzzy System for Online System Identification and Feature Elimination. IEEE Transactions on Neural Networks and Learning Systems, 2015. 26(7), 1442–1455. doi:10.1109/TNNLS.2014.2346537.
  • Zhang, X., Wang, Y-T., Wang, Y., Jung, T-P., Huang, M., Cheng, C-K., Mandell, A.J. Ultra-Slow Frequency Bands Reflecting Potential Coherence Between Neocortical Brain Regions, Neuroscience, 2015. doi:10.1016/j.neuroscience.2014.12.050.
  • Loo, S., Lentarowicz, A., Makeig, S. “Use of EEG in child psychiatry research: Current state and future directions,” Journal of Clinical Child Psychiatry, 2015.
  • Chiao-Yi Wu, Jia Ying Serene Koh, Moon-Ho Ringo Ho, Makoto Miyakoshi, Toshiharu Nakai, Shen-Hsing Annabel Chen. (2014) Age-related differences in effective connectivity of brain regions involved in Japanese kanji processing with homophone judgment task. Brain and Language, 135: 32-41.

Selected Publications 2002-2013

BCILAB: A platform for brain-computer interface development

Journal of Neural Engineering, 2013

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Measure projection analysis: A probabilistic approach to EEG source comparison and multi- subject inference.

NeuroImage, 2013

Effect of forward model errors on EEG source localization

2013

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Genetic Overlap between Evoked Frontocentral Theta-Band Phase Variability, Reaction Time Variability, and Attention-Deficit/Hyperactivity Disorder Symptoms in a Twin Study

Biological Psychiatry, 2013, in press.

Independent EEG Sources Are Dipolar

2012

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Trial-by-trial variability in event-related data

2011

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Broadband high-frequency EEG and emotion

2010 (1.3 MB .pdf)

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Online classification of brain responses to images containing target features presented at a rate of 12 images per second

2008

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Linking mind, body, and behavior with Mobile Brain/body Imaging (MoBI)

2009

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Frontal polar theta complex precedes fast manual responses

2007

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Regional CBF Changes in Parkinson's Disease: A Correlation with Motor Dysfunction

2007

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Information-based modeling of event-related brain dynamics

2006

Mapping single-trial EEG records onto the cortical surface by spatiotemporal decomposition

NeuroImage, 32:195-207, 2006

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Frontal midline theta dynamics during working memory

Neuroimage 27:341-56, 2005

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Brain decisions have consequences!

Banbury Center 6/05 2005

Powerpoint slides with notes (PDF)

Analyzing Event-Related Brain Dynamics during Continuous Compensatory Tracking

Proc IEEG EMB Conference, 2005

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Stability of infomax decomposition of fMRI data

Proc IEEG EMB Conference, 2005

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Some components of the novelty-P3 ERP

Exp Brain Res/ Cog Brain Res, 2005

EEG dynamics underlying visual target responses

PLOS Biology 2004

Theta animation from this paper

PLOS summary of this paper

Mining event-related brain dynamics

Trends in Cognitive Science 05/04

ERN and midline theta power

Clin Neurophysiol 2004

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The EEGLAB toolbox

J Neurosci Methods 01/04

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Complex ICA

Neural Networks 12/03

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BCI and ICA

IEEE Trans Neur Sys & Rehab Eng 04/03

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BOLD data are dominated by top-down influences

NeuroImage 04/02

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Multiscale brain dynamics

Banbury Center talk 5/04

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Dynamic EEG contributions to early visual responses

Science 01/02