Mind wandering, meditation, and consciousness research

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, 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

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).

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.

Brain computer interface methods

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 free 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

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.

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.