Mind wandering, meditation, well being and consciousness research
Cannard, C., Delorme, A., Wahbeh, H. (2024) HRV and EEG correlates of well-being using ultra-short, portable, and low-cost measurements. Progress in Brain Research, https://doi.org/10.1016/bs.pbr.2024.04.004.
Hunt T., Jones M., McFadden J., Delorme A., Hales C.G., Ericson M. and Schooler J. (2024) Editorial: Electromagnetic field theories of consciousness: opportunities and obstacles. Front. Hum. Neurosci. 17:1342634. doi: 10.3389/fnhum.2023.1342634
Wahbeh, H., Cannard, C., Kriegsman, M., Delorme, A. (2023) Evaluating brain spectral and connectivity differences between silent mind-wandering and trance states,
Progress in Brain Research, ISSN 0079-6123, doi.org/10.1016/bs.pbr.2022.12.011 Public PDF, Pubmed.
Wahbeh, H., Radin, D., Cannard, C., Delorme, A. (2022) What if consciousness is not an emergent property of the brain? Observational and empirical challenges to materialistic models. Front. Psychol. Sec. Consciousness Research. doi: 10.3389/fpsyg.2022.955594. Journal's link
Wahbeh, H., Yount, G., Vieten, C., Radin, D., & Delorme, A. (2022). Exploring Personal Development Workshops' Effect on Well-Being and Interconnectedness. Journal of integrative and complementary medicine, 28(1), 87-95. Journal's link.
Yount, G., Delorme, A., Radin, D., Carpenter, L., Rachlin, K., Anastasia, J., Pierson, M., Steele, S., Mandell, H., Chagnon, A., & Wahbeh, H. (2021). Energy Medicine treatments for hand and wrist pain: A pilot study. Explore (New York, N.Y.), 17(1), 11–21. https://doi.org/10.1016/j.explore.2020.10.015. Pubmed link.
Gouraud, J., Delorme, A., Berberian, B. (2021) Mind Wandering Influences EEG Signal in Complex Multimodal Environments. Frontiers in Neuroergonomics (2) DOI: 10.3389/fnrgo.2021.625343. Frontiers journal
C. Cannard, H. Wahbeh and A. Delorme, "Validating the wearable MUSE headset for EEG spectral analysis and Frontal Alpha Asymmetry," 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2021, pp. 3603-3610, doi: 10.1109/BIBM52615.2021.9669778. IEEE link, PDF.
Pernet, C.R., Belov, N., Delorme, A., Zammit, A. (2021) Mindfulness related changes in grey matter: a systematic review and meta-analysis. Brain Imaging Behav. 2021 Feb 24. doi: 10.1007/s11682-021-00453-4. PMID: 33624219. Journal link.
Rachlin, K., Wahbeh, H., Delorme, A., Radin, D., Carpenter, L., Ahmadzai, S., Valletta, S., & Yount, G. (2022). Salivary neutrophil sampling feasibility in general population for gene expression analysis. BMC research notes, 15(1), 256. https://doi.org/10.1186/s13104-022-06149-2. Pubmed link.
Penberthy, J.K., Hodge, A.S., Hook, J.N., Delorme, A., Pehlivanova, M., Vieten, C. (2021) Meditators and Nonmeditators: A Descriptive Analysis Over Time with A Focus on Unusual and Extraordinary Experiences. J Yoga & Physio. Volume 8 Issue 3, DOI: 10.19080/JYP.2020.08.555744. Link.
Brandmeyer, T., Delorme, A. (2020) Closed-Loop Frontal Midlineθ Neurofeedback: A Novel Approach for Training Focused-Attention Meditation. Frontiers in Human Neuroscience, 14, DOI=10.3389/fnhum.2020.00246. Journal link.
Anastasia, J., Wahbeh, H., Delorme, A., Okonsky, J. (2020) A Qualitative Exploratory Analysis of Channeled Content. EXPLORE: The Journal of Science and Healing. 16(4):231-236. doi: 10.1016/j.explore.2020.02.008. Pubmed link.
Adam, N., Blaye, A., Gulbinaite, R., Delorme, A., Farrer, C. (2020) The role of midfrontal theta oscillations in the development of cognitive control during the preschool and school years. Developmental Science, Jan 1:e12936. doi: 10.1111/desc.12936. Pubmed link.
Brandmeyer, T., Delorme A. (2020) Meditation and the wandering mind: a theoretical account of underlying and converging neural mechanisms. Perspectives on Psychological Science, doi: 10.1177/1745691620917340. Pubmed link, Author's PDF.
Brandmeyer, T., Delorme, A., Wahbeh H. (2019) The neuroscience of meditation: classification, phenomenology, correlates, and mechanisms. Progress in brain research. DOI: 10.1016/bs.pbr.2018.10.020. Pubmed link, Author's PDF.
Wahbeh, H., Yount, G., Vieten, C., Radin, D., Delorme, A. (2019) The Noetic Experience and Belief Scale: A validation and reliability study. F1000Research, 8:1741.
Delorme A., Brandmeyer T. (2018) When the meditating mind wanders, Current Opinion in Psychology. DOI: 10.1016/j.copsyc.2018.12.006. Pubmed link, Author's PDF
Wahbeh, H., Canard, C., Okonsky, J., Delorme, A. (2019) A physiological examination of perceived incorporation during trance, F1000
Vieten, C., Wahbeh, H., Cahn, B.R., MacLean, K., Estrada, M., Mills, P., Murphy, M., Shapiro, S., Radin, D., Josipovic, Z., Presti, D.E., Sapiro, M., Bays, J.C., Russell, P., Vago, D., Travis, F., Walsh, R., Delorme, A. (2018) Future directions in meditation research: Recommendations for expanding the field of contemplative science, PLOS ONE, https://doi.org/10.1371/journal.pone.0205740
Gouraud, J., Delorme, A., Berberian, B. (2018) Influence of automation on mind wandering frequency in sustained attention. Consciousness and Cognition, Volume 66, November 2018, Pages 54-64. Journal link, Author's copy of published manuscript.
Gouraud, J., Delorme, A., Berberian, B. (2018) Out of the Loop, in Your Bubble: Mind Wandering Is Independent From Automation Reliability, but Influences Task Engagement. Front. Hum. Neurosci., 20 September 2018 | https://doi.org/10.3389/fnhum.2018.00383. Journal link.
Gouraud, J., Delorme, A., Berberian, B. (2017) Autopilot, Mind-Wandering and the Out-Of-the-Loop Performance Problem. Front. Neurosci. | doi: 10.3389/fnins.2017.00541. Journal link.
Gouraud, J., Delorme, A., Berberian, B. (2017) A Preliminary Study on the Influence of Automation over Mind Wandering Frequency in Sustained Attention. Proceedings of the European Conference on Cognitive Ergonomics, 20-22 September 2017, Umeå, Sweden. Author's copy of published manuscript.
Wahbeh, H., Radin, D., Mossbridge, J., Vieten, C., Delorme, A. (2018) Exceptional experiences reported by scientists and engineers. Explore: The Journal of Science and Healing. 14(5), 329-341 https://doi.org/10.1016/j.explore.2018.05.002.
Somon, B., Campagne, A., Delorme, A., Berberian, B. (2017) Performance Monitoring Applied to System Supervision. Front. Hum. Neurosci., 11 July 2017. Journal link.
Braboszcz, C., Cahn, R., Levy, J., Fernandez, M., Delorme A. (2017) Increased Gamma Brainwave Amplitude Compared to Control in Three Different Meditation Traditions. DOI:10.1371/journal.pone.0170647. Journal link.
Brandmeyer, T., Delorme, A. (2016) Reduced mind wandering in experienced meditators and associated EEG correlates. Exp Brain Res. Nov 4. Pubmed abstract, author's copy of published manuscript.
Grandchamp, R., Delorme, A. (2016) The Brainarium: An Interactive Immersive Tool for Brain Education, Art, and Neurotherapy, Journal of Computational Inteligence, dx.doi.org/10.1155/2016/4204385. Full text available on publisher web site.
Durantin, G., Dehais, F., Delorme, A. (2015) Characterization of mind wandering using fNIRS, doi: 10.3389/fnsys.2015.00045. Full text available on Frontiers web site.
Radin, D., Michel, L., Pierce, A., Delorme, A. (2015) Psychophysical interactions with a single-photon double-slit optical system. Quantum Biosystems. 6(1) 82-98. PDF.
Vieten, C., Estrada, M., Cohen, A.B., Radin, D., Schlitz, M.M., Delorme, A. (2014) Engagement in a Community-Based Integral Practice Program Enhances Well-Being. Journal of Transpersonal Studies. 33(2), pp. 1-15. PDF.
Grandchamp, R, Braboszcz, C, Delorme, A (2014) Oculometric variations during mind wandering. Frontiers in Psychology, doi: 10.3389/fpsyg.2014.00031. Full text available on Frontiers web site.
Schlitz, M., Schooler, J., Pierce, A., Murphy, A., Delorme, A. (2014) 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. PDF.
Lenartowicz, A, Delorme, A, Walshaw, P, Cho, AL, Bilder, RM, McGough, J, McCracken, JT, Makeig, S, Loo, SK (2014) EEG correlates of spatial working memory deficits in ADHD: vigilance, encoding, and maintenance. The Journal of Neuroscience, 34(4):1171-82. doi: 10.1523/JNEUROSCI.1765-13.2014, Pubmed link with free version of full text.
Radin, D. I., Michel, L., Johnston, J., Delorme, A., (2013). Psychophysical interactions with a double-slit interference pattern: Experiments and a model. Physics Essays. 26 (4), 553-566. Abtract from Physics Essay.
Braboszcz, C, Cahn, BR, Balakrishnan, B, Maturi, RK, Grandchamp, R, Delorme, A (2013) Plasticity of visual attention in Isha yoga meditation practitioners before and after a 3-month retreat. Frontiers in Psychology, 4(914). Full text available on Frontiers web site.
Cologan, V, Drouot, X, Parapatics, S, Delorme, A, Pirnay, L, Frederick, A, Moonen, G, Maquet, P, Laureys, S (2013) Sleep in the unresponsive wakefulness syndrome and minimally conscious state. J Neurotrauma. 30(5):339-46. PDF, Pubmed link.
Delorme A, Beischel J, Michel L, Boccuzzi M, Radin D, Mills PJ (2013) Electrocortical activity associated with subjective communication with the deceased. Front Psychol. 2013 Nov 20;4:834. doi: 10.3389/fpsyg.2013.00834. eCollection 2013. Pubmed link with link to full article.
Brandmeyer, T., Delorme, A. (2013) Meditation and Neurofeedback, Frontiers in Psychology, doi: 10.3389/fpsyg.2013.00688. Full text available on Frontiers web site.
Cahn, R., Delorme, A., Polich, J. (2012) Event-related delta, theta, alpha and gamma correlates to auditory oddball processing during Vipassana meditation, Social Cognitive and Affective Neuroscience, 8(1):100-11. PDF, Pubmed link.
Radin, D., Michel, L., Galdamez, K., Wendland, P., Rickenbach, R., Delorme, A. (2012) Consciousness and the double-slit interference pattern: Six experiments. Physics Essays: June 2012, Vol. 25, No. 2, pp. 157-171. Journal's link.
Radin DI, Vieten C, Michel L, Delorme A. (2012) Electrocortical activity prior to unpredictable stimuli in meditators and nonmeditators. Explore (NY), 7(5):286-99. Pubmed link.
Braboszcz, C. and Delorme, A. (2011) Lost in thoughts: neural markers of low alertness during mind wandering. Neuroimage, 54(4):3040-7. PDF, Pubmed abstract. First article published on the EEG neural correlate of mind wandering. First article published on mind wandering during a meditation task.
Braboszcz, C., Hahusseau, S., Delorme, A. (2010) Meditation and Neuroscience: from basic research to clinical practice. In "Integrative Clinical Psychology, Psychiatry and Behavioral Medicine: Perspectives, Practices and Research". Editor: R. Carlstedt. pp 755-778. Springer Publishing. Author's PDF, Amazon link.
Cahn, R., Delorme, A., Polish, J. (2009) Occipital gamma activation during Vipassana meditation. Cognitive processing, 11(1):39-56. PDF, Pubmed abstract.
EEG/Signal processing methods
Delorme A. (2023). EEG is better left alone. Scientific reports, 13(1), 2372. https://doi.org/10.1038/s41598-023-27528-0.
Pellegrini, F., Delorme, A., Nikulin, V., & Haufe, S. (2023). Identifying good practices for detecting inter-regional linear functional connectivity from EEG. NeuroImage, 277, 120218. https://doi.org/10.1016/j.neuroimage.2023.120218.
Cannard, C., Wahbeh, H., Delorme, A. (2023) BrainBeats: an open-source EEGLAB plugin to jointly analyze EEG and cardiovascular (ECG/PPG) signals. Submitted. bioRxiv 2023.06.01.543272; doi: https://doi.org/10.1101/2023.06.01.543272
Delorme A, Truong D, Youn C, Sivagnanam S, Stirm C, Yoshimoto K, Poldrack RA, Majumdar A, Makeig S. NEMAR: an open access data, tools and compute resource operating on neuroelectromagnetic data. Database (Oxford). 2022 Nov 11;2022:baac096. doi: 10.1093/database/baac096. PMID: 36367313; PMCID: PMC9650770. Full text.
Delorme, A., Oostenveld, R., Tadel, F., Gramfort, A., Nagarajan, S., Litvak, V. (2022) Editorial: From Raw MEG/EEG to Publication: How to Perform MEG/EEG Group Analysis With Free Academic Software. Frontiers in Neuroscience, 16, DOI=10.3389/fnins.2022.854471. Full text link.
Pernet, C. R., Martinez-Cancino, R., Truong, D., Makeig, S., & Delorme, A. (2021). From BIDS-Formatted EEG Data to Sensor-Space Group Results: A Fully Reproducible Workflow With EEGLAB and LIMO EEG. Frontiers in neuroscience, 14, 610388. https://doi.org/10.3389/fnins.2020.610388. Pubmed and journal link.
Robbins, K., Truong, D., Appelhoff, S., Delorme, A., & Makeig, S. (2021). Capturing the nature of events and event context using hierarchical event descriptors (HED). NeuroImage, 245, 118766. Journal link.
Cannard, C., Wahbeh, H., & Delorme, A. (2021). Electroencephalography Correlates of Well-Being Using a Low-Cost Wearable System. Frontiers in human neuroscience, 15, 745135. Journal link
Martínez-Cancino, R., Delorme, A., Wagner, J., Kreutz-Delgado, K., Sotero, R. C., & Makeig, S. (2020). What Can Local Transfer Entropy Tell Us about Phase-Amplitude Coupling in Electrophysiological Signals?. Entropy (Basel, Switzerland), 22(11), 1262. Journal link
A. Delorme and J. A. Martin, "Automated Data Cleaning for the Muse EEG," 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2021, pp. 1-5, doi: 10.1109/BIBM52615.2021.9669415. IEEE link, PDF.
Pernet, C.R., Suay Mas, I., Rousselet, G., Martinez, R., Wilcox, R. & Delorme, A. (2022) Electroencephalography robust statistical linear modelling using a single weight per trial. Aperture Neuro. doi:10.52294/2e69f7cc-f061-40ad-ad77-017110464dfd, PDF.
Delorme, A., Truong, D., Martinez- Cancino, R., Pernet, C., Sivagnanam, S., Yoshimoto, K., Poldrack, R., Majumdar, A., Makeig, S. (2020) Tools for Importing and Evaluating BIDS-EEG Formatted Data. 2021 10th International IEEE/EMBS Conference on Neural Engineering (NER), 2021, pp. 210-213, doi: 10.1109/NER49283.2021.9441399. IEEE website. Preprint.
Martínez-Cancino, R., Delorme, A., Wagner, J., Kreutz-Delgado, K., Sotero, R.C., Makeig, S. (2020) What can local transfer entropy tell us about phase-amplitude coupling in electrophysiological signals? Entropy. 2020; 22(11):1262. https://doi.org/10.3390/e22111262. Full text link.
Martínez-Cancino, M., Delorme, A., Truong, D., Artoni, F., Kreutz-Delgado, K., Sivagnanam, S., Yoshimoto, K., Majumdar, A., Makeig, S. (2021) The Open EEGLAB Portal Interface:High-Performance Computing with EEGLAB. Neuroimage, Volume 224, 116778. Full text link.
Sivagnanam, S., Yoshimoto, K., Carnevale, N., Nadeau, D., Kandes, M., Petersen, T.J., Truong, D., Martínez-Cancino, R., Delorme, A., Makeig, S., & Majumdar, A. (2020). Neuroscience Gateway Enabling Large Scale Modeling and Data Processing in Neuroscience Research. Practice and Experience in Advanced Research Computing. doi.org/10.1145/3311790.3399625. full text on Research gate.
Cannard, C., Brandmeyer, T., Wahbeh, H., Delorme, A. (2020) Self-health monitoring and wearable technologies. In Handbook of Clinical Neurology, Nick Ramsey and Jose Millan (Editors). 168:207-232. doi: 10.1016/B978-0-444-63934-9.00016-0. Elsevier: Amsterdam. Pubmed link, Author's PDF.
Wagner, J., Martinez-Cancino, R., Delorme, A., Makeig, S., Solis-Escalante, T., Neuper, C. & Mueller-Putz, G. (2019) High-density EEG mobile brain/body imaging data recorded during a challenging auditory gait pacing task. Scientific Data volume 6, Article number: 211. Journal link.
Delorme, A., Majumdar, A., Sivagnanam, S., Martinez-Cancino, R., Yoshimoto, K., Makeig, S. “The Open EEGLAB Portal.” 9th International IEEE/EMBS Neural Engineering Conference, San Francisco, March 2019. IEEE website. Aurthor's copy..
Artoni, F., Delorme, A., Makeig, S. (2019) A visual working memory dataset collection with bootstrap Independent Component Analysis for comparison of electroencephalographic preprocessing pipelines. Data in Brief, Volume 22, February 2019, Pages 787-793. Open access link.
Pernet, C., Appelhoff, S., Flandin, G., Phillips, C., Delorme, A., Oostenveld, R. (2019) BIDS-EEG: an extension to the Brain Imaging Data Structure(BIDS) Specification for electroencephalography. Scientific Data volume 6, Article number: 103. doi.org/10.1038/s41597-019-0104-8. Journal's link.
Martínez-Cancino, R., Henga, J., Delorme, A., KenKreutz-Delgadob, K., Sotero, R.C., Makeig, S. (2019) Measuring transient phase-amplitude coupling using local mutual information, NeuroImage, Volume 185, 15 January 2019, Pages 361-378. Pubmed abstract, PDF.
Artoni, F., Delorme, A., Makeig, S. (2018) Applying dimension reduction to EEG data by principal component analysis reduces the quality of its subsequent independent component decomposition. Neuroimage. In press. Pubmed abstract, PDF.
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. Pubmed abstract, PDF.
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. | doi: 10.3389/fnhum.2015.00707. Full text available on Frontiers web site.
Lee, C., Miyakoshi, M., Delorme A., Cauwenberghs, G., Makeig, S. (2015) Non-parametric group-level statistics for source-resolved ERP analysis. 7th Annual International Conference of the IEEE Engineering in Medicine and Biology Society of the IEEE Engineering in Medicine and Biology Society (EMBC'15). Milano, Italy, August 25-29, 2015. Full text available here.
Durantin G, Scannella S, Gateau T, Delorme A, Dehais F. (2014) Moving Average Convergence Divergence filter preprocessing for real-time event-related peak activity onset detection : application to fNIRS signals. Conf Proc IEEE Eng Med Biol Soc. 2014;2014:2107-10. doi: 10.1109/EMBC.2014.6944032. PDF.
Delorme., A., Miyakoshi., M., Jung, T.P., Makeig, S. (2014) Grand average ERP-image plotting and statistics: A method for comparing variability in event-related single-trial EEG activities across subjects and conditions. J Neurosci Methods. 2014 Oct 22. pii: S0165-0270(14)00363-X. doi: 10.1016/j.jneumeth.2014.10.003. Pubmed abstract, PDF.
Artoni, F., Menicucci, D., Delorme, A., Makeig, S., Micera, S. (2014) RELICA: A method for estimating the reliability of independent components. Neuroimage. pii: S1053-8119(14)00752-6. doi: 10.1016/j.neuroimage.2014.09.010. Pubmed abstract, PDF of proof.
Durantin, G., Scannella, S., Gateau, T., Delorme, A., Dehais, F. (2014) Moving Average Convergence Divergence Filter Preprocessing for Real-Time Event-Related Peak Activity Onset Detection : Application to Fnirs Signals. Conference: 36th Annual International IEEE EMBS Conference. DOI: 10.1109/EMBC.2014.6944032. Full text available here.
Miyakoshi M, Delorme A, Mullen T, Kojima K, Makeig S, and Asano E. (2013) Automated detection of cross-frequency coupling in the electrocorticogram for clinical inspection. Conference Proceeding of IEEE Engineering in Medicine and Biology Society. 2013:3282-5. doi: 10.1109/EMBC.2013.6610242. Pubmed link with free link to article.
Brunner, C., Delorme, A., Makeig S. (2013) Eeglab – an Open Source Matlab Toolbox for Electrophysiological Research. Biomedical Engineering / Biomedizinische Technik. ISSN (Online) 1862-278X, ISSN (Print) 0013-5585, DOI: 10.1515/bmt-2013-4182. HTML link for free access. Note: this is just a conference article; to cite EEGLAB, use the 2004 J Neuroscience Method reference below.
Grandchamp, R., Braboszcz, C., Makeig, S., Delorme A. (2012) Stability of ICA decomposition across within-subject EEG datasets. Proceedings of the 34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Aug 28-Sept 1, San Diego, CA. PDF.
Delorme A, Palmer J, Onton J, Oostenveld R, Makeig S. (2012) Independent EEG sources are dipolar.PLoS One, 7(2). Pubmed abstract and free link to paper. First clear demonstration of the validity of using ICA to study brain sources.
Grandchamp R, Delorme A. (2011) Single-trial normalization for event-related spectral decomposition reduces sensitivity to noisy trials. Front Psychol. 2:236. Pubmed abstract and free link to article. New method to reduce noise in time-frequency decompositions (newtimef function of EEGLAB).
Baillet, S., Tadel, F., Leahy, R.M., Mosher, J.C., Delorme, A., Makeig, S., Oostenveld, R., Hämäläinen, M., Dalal, S.S., Zumer, J., Clerc, M., Wolters, C.H., Kiebel, S., Jensen, O. (2010) Academic Software Toolboxes for the Analysis of MEG Data. In: Supek S., Sušac A. (eds) 17th International Conference on Biomagnetism Advances in Biomagnetism – Biomag2010. IFMBE Proceedings, vol 28. Springer, Berlin, Heidelberg. Link to Research gate open source version, Journal link.
Delorme, A., Makeig, S. (2009) Open Source Programming for Interpreted Language: Graphic Interface and Macro Bridging Interface. 2009 Fifth International Conference on Signal-Image Technology & Internet-Based Systems (SITIS, indexed in IEEE), Nov. 29 2009-Dec. 4 2009, 430-434. PDF, IEEE link.
Delorme, A., Sejnowski, T., Makeig, S. (2007) Improved rejection of artifacts from EEG data using high-order statistics and independent component analysis. Neuroimage, 34, 1443-1449. PDF. Pubmed abstract, data used in the article (1.2Gb).
Delorme, A. (2006) Statistical methods. Encyclopedia of Medical Device and Instrumentation, vol 6, pp 240-264. Wiley interscience. Author's PDF. Amazon link.
Delorme, A., Makeig, S. (2004) EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis. Journal of Neuroscience Methods, 134(1), 9-21. PDF, Pubmed abstract. EEGLAB site. EEGLAB seminal article (cited more than 3500 times).
Sornborger, A., Yokoo, T., Delorme A., Sailstad, C., Sirovich, L. (2004) Extraction of Average and Differential Dynamical Responses in Stimulus-locked Experimental Data. Journal of Neuroscience Methods, 141(2):223-9. Author's postscript. Pubmed abstract.
Delorme, A., Makeig, S., Fabre-Thorpe, M. Sejnowski, T. (2002) From Single-trials EEG to Brain Area Dynamics, Neurocomputing, 44-46, 1057-1064. Author's PDF, Science Direct. First article published on computing connectivity between brain sources separated using ICA.
Delorme, A., Makeig, S. & Sejnowski, T. (2001). Automatic Artifact Rejection for EEG Data Using High-Order Statistics and Independent Component Analysis, Proceedings of the 3rd International Independent Component Analysis and Blind Source Decomposition Conference, December 9-12, San Diego (USA).
Deep learning and brain computer interface methods
Dung Truong, D., Sinha, M., Venkataraju, K.U., Milham, M., Delorme, A. (2022) A streamable large-scale clinical EEG dataset for Deep Learning. Accepted to IEEE EMBC 2022 arxiv preprint.
Truong, D., Milham, M., Makeig, S., Delorme A. (2021) Assessing learned features of Deep Learning applied to EEG. 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2021, pp. 3667-3674, doi: 10.1109/BIBM52615.2021.9669400. IEEE website. arxiv preprint.
Truong, D., Milham, M., Makeig, S., Delorme A. (2021) Deep Convolutional Neural Network Applied to Electroencephalography: Raw Data vs Spectral Features. 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2021, pp. 1039-1042, doi: 10.1109/EMBC46164.2021.9630708. IEEE website. arxiv preprint.
Delorme, A., Mullen, T., Kothe, C., Bigdely-Shamlo, N., Akalin, Z., Vankov, A., Makeig, S. (2011) EEGLAB, MPT, NetSIFT, NFT, BCILAB, and ERICA: New tools for advanced EEG/MEG processing. Computational Intelligence, article ID 130714. Pubmed abstract and free link to paper.
Delorme, A., Kothe, C., Bigdely, N., Vankov, A., Oostenveld, R., Makeig, S. (2010) Matlab Tools for BCI Research? In "human-computer interaction and brain-computer interfaces". Editors : Tan, D. and Nijholt, A. Springer Publishing. PDF, publisher's link.
Grandchamp, R., Delorme, A. (2009) NeuroTRIP: a Neurofeedback experiment design platform using Independent Component Analysis. IEEE Conference on Computational Complexity. 2009 Fifth International Conference on Signal-Image Technology & Internet-Based Systems (SITIS, indexed in IEEE), Nov. 29 2009-Dec. 4 2009, 451-457. PDF, IEEE link.
Delorme, A., Makeig, S. (2003) EEG changes accompanying learning regulation of the 12-Hz EEG activity. IEEE Transactions on Rehabilitation Engineering, 11(2), 133-136. PDF, IEEE link. First article published that uses ICA to separate brain sources and artifacts in Brain Computer Interfaces.
EEG brain dynamics of memory and decision making
Somon, B., Campagne, A., Delorme, A., & Berberian, B. (2022). Brain mechanisms of automated conflict avoidance simulator supervision. Psychophysiology, e14171. https://doi.org/10.1111/psyp.14171. Pubmed abstract and link to PDF.
Delorme, A., Poncet, M., Fabre-Thorpe, M. (2018) Briefly Flashed Scenes Can Be Stored in Long-Term Memory. Front. Neurosci., 05 October 2018 | https://doi.org/10.3389/fnins.2018.00688. PDF,
Huang, R.S., Jung, T.P., Delorme, A., Makeig, S. (2008) Tonic and phasic electroencephalographic dynamics during continuous compensatory tracking. Neuroimage, 39(4), 1896-1909. PDF, Pubmed abstract.
Delorme, A., Westerfield, M., Makeig, S. (2007) Medial prefrontal theta bursts precede rapid motor responses during visual selective attention. Journal of Neuroscience, 27(44):11949-59. Pubmed abstract (and free link to paper). First article extracting brain data from eye channels. First article explicitely linking single-trial channel activity with underlying EEG sources separated using ICA.
Onton, J., Delorme, A., Makeig, S. (2005) Frontal midline EEG dynamics during working memory. Neuroimage, 27(2), 341-356. PDF, Pubmed abstract.
Tanji, K., Suzuki, F., Delorme, A., Shamoto, H., and Nakasato N. (2005) High-Frequency Gamma-Band Activity in the Basal Temporal Cortex during Picture-Naming and Lexical-Decision Tasks. J Neuroscience, 25, 3287-3293. Pubmed abstract (and and free link to paper).
Makeig, S., Delorme, A., Westerfield, M., Jung, T.P., Townsend, J., Courchesne, E., Sejnowski, T. (2004) Electroencephalographic brain dynamics following visual targets requiring manual responses. Public Librairy of Science, 2(6), 747-762. Pubmed abstract (and free link to paper).
Debener, S., Makeig, S., Delorme, A., Engel, A.K. (2005) What is novel in the novelty oddball paradigm? Functional significance of the novelty P3 event-related potential as revealed by independent component analysis. Cognitive Brain Research, 22(3), 309-321. PDF, Pubmed abstract.
Makeig, S., Debener, S., Onton, J., Delorme, A. (2004) Mining event related dynamics. Trends in cognitive Neuroscience, 8(5), 204-210. PDF, Pubmed abstract.
Speed of processing in the visual system
Mace M., Delorme, A., Richard, G., Fabre-Thorpe, M. (2010) Spotting animals in natural scenes: efficiency of humans and monkeys at very low contrasts. Animal Cognition, 13(3):405-18. Pubmed abstract, PDF.
Delorme, A., Richard, G., Fabre-Thorpe, M. (2010). Key visual features for rapid categorization of animals in natural scenes. Frontier in psychology, 1:21. Pubmed abstract and free link to paper.
Mace M., Richard, G., Delorme, A., Fabre-Thorpe, M. (2005) Rapid categorization of natural scenes in monkeys: target predictability and processing speed. Neuroreport, 16(4):349-354. Author's PDF, Pubmed abstract.
Delorme, A., Rousselet, G., Mace, M., Fabre-Thorpe M. (2004) Interaction of Bottom-up and Top-down processing in the fast visual analysis of natural scenes. Cognitive Brain Research, 19(2), 103-113. Author's PDF, Science direct.
Delorme, A., Richard, G., & Fabre-Thorpe, M. (2000). Rapid Categorisation of natural scenes is colour blind: A study in monkeys and humans. Vision Research, 40(16), 2187-2200. Author's PDF, Science Direct. A landmark article showing that achromatic visual information is processed faster and before chromatic information.
Fabre-Thorpe, M., Delorme, A., Marlot, C., & Thorpe, S.J. (2000). A limit to the speed of processing in Ultra-Rapid Visual Categorization of novel natural scenes. Journal of Cognitive Neuroscience. 13(2), 171-180. Author's PDF, journal's link.
Fabre-Thorpe, M., Delorme, A., & Richard, G. (1999). Singes et Hommes face au monde visuel : la Catégorisation. Primatologie, 2, 111-139. Author's PDF.
Delorme, A., Richard, G., & Fabre-Thorpe, M. (1999). Rapid processing of complex natural scenes: a role for the magnocellular pathway. Neurocomputing, 26-27, 663-670. Author's PDF, Science Direct.
Neural networks and spike based strategies for visual processing
Delorme, A. (2003) Early Cortical Orientation Selectivity: How Fast Shunting Inhibition Decodes the Order of Spike Latencies. Journal of Computational Neuroscience, 15, 357-365. Author's PDF, Pubmed link. Github repository.
Delorme, A., Thorpe, S. (2003). SpikeNET: An Event-driven Simulation Package for Modeling Large Networks of Spiking Neurons, Network: Comput. Neural Syst., 14, 613:627. Author's PDF, Pubmed abstract.
Thorpe, S., Delorme, A., VanRullen, R. (2001) Spike based strategies for rapid processing. Neural Networks, 14(6-7), 715-726. Author's PDF, Science Direct.
Delorme, A., Thorpe, S. (2001) Face processing using one spike per neuron: resistance to image degradation. Neural Networks, 14(6-7), 795-804. Author's PDF, Pubmed abstract. More than 10 years after its publication, still one of the largest and most efficient biologically plausible neural network ever simulated for processing visual stimuli (about 30 million neurons and 300 billion connections).
Perrinet, L., Delorme, A., Thorpe, S. (2001) Network of integrate-and-fire neurons using Rank Order Coding A: how to implement spike timing dependant plasticity. Neurocomputing, 38-40(1-4), 817-822. Author's PDF, Science Direct.
Delorme, A., Perrinet, L., Thorpe, S. (2001) Network of integrate-and-fire neurons using Rank Order Coding B: spike timing dependant plasticity and emergence of orientation selectivity. Neurocomputing, 38-40(1-4), 539-545. Author's PDF, Science Direct. One of the first articles (if not the first) using spike-timing dependent plasticity for unsupervised learning in artificial neural networks.
VanRullen, R., Delorme, A. & Thorpe S.J. (2001). Feed-forward contour integration in primary visual cortex based on asynchronous spike propagation. Neurocomputing, 38-40(1-4), 1003-1009. Author's PDF, Science Direct.
Thorpe, S.J., Delorme, A., VanRullen, R., Paquier, W. (2000) Reverse engineering of the visual system using networks of spiking neurons. IEEE International Symposium on Circuits and Systems, 2000, 4, 405 -408. Author's PDF, journal's link.
Delorme, A., Gautrais, J., VanRullen, R., & Thorpe, S.J. (1999). SpikeNET: A simulator for modeling large networks of integrate and fire neurons. Neurocomputing, 26-27, 989-996. Author's PDF, Science Direct.
Van Rullen, R., Gautrais, J., Delorme, A., & Thorpe, S. (1998). Face processing using one spike per neurone. Biosystems, 48(1-3), 229-239. Author's PDF, Science Direct.