Reference articles

Tadel F, Baillet S, Mosher JC, Pantazis D, Leahy RM (2011)
Brainstorm: A User-Friendly Application for MEG/EEG Analysis
Computational Intelligence and Neuroscience, vol. 2011, ID 879716

Tadel F, Bock E, Niso G, Mosher JC, Cousineau M, Pantazis D, Leahy RM, Baillet S
MEG/EEG Group Analysis With Brainstorm
Frontiers in Neuroscience, Feb 2019

Niso G, Tadel F, Bock E, Cousineau M, Santos A, Baillet S
Brainstorm Pipeline Analysis of Resting-State Data from the Open MEG Archive
Frontiers in Neuroscience, Mar 2019

Nasiotis K, Cousineau M, Tadel F, Peyrache A, Leahy RM, Pack CC, Baillet S
Integrated open-source software for multiscale electrophysiology
Scientific Data, Oct 2019

How to cite Brainstorm

See this dedicated page: How to cite Brainstorm.

Publications from Brainstorm users




  1. Adibpour P, Lebenberg J, Kabdebon C, Dehaene-Lambertz G, Dubois J
    Anatomo-functional correlates of auditory development in infancy
    Developmental Cognitive Neuroscience, Apr 2020

  2. Alhilani M, Tamilia E, Ricci L, Ricci L, Grant PE, Madsen JR, Pearl PL, Papadelis C
    Ictal and Interictal Source Imaging on Intracranial EEG Predicts Epilepsy Surgery Outcome in Children with Focal Cortical Dysplasia
    Clinical Neurophysiology, Jan 2020

  3. Amadeo MB, Campus C, Gori M
    Visual representations of time elicit early responses in human temporal cortex
    NeuroImage, May 2020

  4. Ambrosini E, Capizzi M, Arbula S, Vallesi A
    Right-lateralized intrinsic brain dynamics predict monitoring abilities
    Cognitive, Affective and Behavioral Neuroscience, Jan 2020

  5. An KM, Hasegawa C, Hirosawa T, Tanaka S, Saito DN, Kumazaki H, Yaoi K, Kikuchi M, Yoshimura Y
    Brain responses to human‐voice processing predict child development and intelligence
    Human Brain Mapping, Feb 2020

  6. Arianna B, Davide T, Marco B, Baldauf D
    Cortical source localization of sleep-stage specific oscillatory activity
    Scientific Reports, May 2020

  7. Avigdor T, Abdallah C, von Ellenrieder N, Rubino A, Lo Russo G, Bernhardt B, Nobili L, Grova C, Frauscher B
    Fast oscillations localize the epileptogenic zone: an electrical source imaging study using high-density electroencephalography
    bioRxiv preprint, Mar 2020

  8. Aydin U, Pellegrino G, Ali OBK, Abdallah C, Dubeau F, Lina JM, Kobayashi E, Grova C
    Magnetoencephalography resting state connectivity patterns as indicatives of surgical outcome in epilepsy patients
    Journal of Neural Engineering, Mar 2020

  9. Ayoubian L, Tadel F, David O
    Epileptogenicity Mapping
    Neurosurgery Clinics, Apr 2020

  10. Azzalini D, Buot A, Palminteri S, Tallon-Baudry C
    A self-related neural mechanism accounting for choice consistency in preference-based decisions
    bioRxiv, Jan 2020

  11. Belaoucha B, Papadopoulo T
    Structural connectivity to reconstruct brain activation and effective connectivity between brain regions
    Journal of Neural Engineering, Apr 2020

  12. Bellato A, Arora I, Kochhar P, Hollis C, Groom MJ
    Atypical electrophysiological indices of eyes-open and eyes-closed resting-state in children and adolescents with ADHD and co-morbid Autism
    Brain sciences, Mar 2020

  13. Bigliassi M, Galano BM, Lima‐Silva AE, Bertuzzi R
    Effects of mindfulness on psychological and psychophysiological responses during self‐paced walking
    Psychophysiology, Jan 2020

  14. Birba A, Guerrero DB, Caro MM, Trevisan P, Kogan B, Sedeño L, Ibáñez A, García AM
    Motor-system dynamics during naturalistic reading of action narratives in first and second language
    NeuroImage, Apr 2020

  15. Blum S, Emkes R, Minow F, Anlauff J, Finke A, Debener S
    Flex-printed forehead EEG sensors (fEEGrid) for long-term EEG acquisition
    Journal of Neural Engineering, May 2020

  16. Brancaccio A, Tabarelli D, Bigica M, Baldauf D
    ?Cortical source localization of sleep-stage specific oscillatory activity
    Scientific Reports, Apr 2020

  17. Brihadiswaran G, Haputhanthri D, Gunathilaka S, Meedeniya D, Jayarathna S
    EEG-Based Processing and Classification Methodologies for Autism Spectrum Disorder: A Review Autism Spectrum Disorder: A Review
    Journal of Computer Science, Feb 2020

  18. Cabrera ME, Novak K, Foti D, Voyles R, Wachs JP
    Electrophysiological indicators of gesture perception
    Experimental Brain Research, Jan 2020

  19. Cai L, Wei X, Wang J, Yi G, Lu M, Dong Y
    Characterization of network switching in disorder of consciousness at multiple time scales
    Journal of Neural Engineering, Feb 2020

  20. Centanni TM, Halpern AR, Seisler AR, Wenger MJ
    Context-dependent neural responses to minor notes in frontal and temporal regions distinguish musicians from nonmusicians
    Cognitive, Affective, & Behavioral Neuroscience, Mar 2020

  21. Chen T, Wang J, Sun B, Hu N
    Solving the Inverse Problem for Auditory Steady-State Response via Sparse Bayesian Learning
    IEEE ITNEC, May 2020

  22. Cheng CH, Lin SH, Wu CY, Liao YH, Chang KC, Hsieh YW
    Mirror Illusion Modulates M1 Activities and Functional Connectivity Patterns of Perceptual–Attention Circuits During Bimanual Movements: A Magnetoencephalography Study
    Frontiers in Neuroscience, Jan 2020

  23. Cheng CH, Liu CY, Hsu SC
    Altered functional connectivity between primary and secondary somatosensory areas in panic disorder
    Psychiatry Research, Jan 2020

  24. Cheng CH, Hsiao FJ, Hsieh YW, Wang PN
    Dysfunction of Inferior Parietal Lobule During Sensory Gating in Patients With Amnestic Mild Cognitive Impairment
    Frontiers in Aging Neuroscience, Feb 2020

  25. Cheng CH, Wang PN, Mao HF, Hsiao FJ
    Subjective cognitive decline detected by the oscillatory connectivity in the default mode network: a magnetoencephalographic study
    Aging, Mar 2020

  26. Chholak P, Maksimenko VA, Hramov AE, Pisarchik AN
    Estimating voluntary and involuntary attention in bistable visual perception: A MEG study
    bioRxiv, Feb 2020

  27. Coffman BA, Salisbury DF
    MEG Methods: A Primer of Basic MEG Analysis
    Neuroimaging in Schizophrenia, Feb 2020

  28. Corsi MC, Chavez M, Schwartz D, George N, Hugueville L, Kahn A, Dupont S, Bassett D, de Vico Fallani F
    Functional disconnection of associative cortical areas predicts performance during BCI training
    NeuroImage, Jan 2020

  29. Dash D, Ferrari P, Wang J
    Decoding Imagined and Spoken Phrases From Non-invasive Neural (MEG) Signals
    Frontiers in Neuroscience, Apr 2020

  30. de Camp NV, Ladwig-Wiegard M, Geitner CIE, Bergeler J, Thöne-Reineke C
    EEG based assessment of stress in horses: a pilot study
    PeerJ, May 2020

  31. Debarnot U, Di Rienzo F, Daligault S, Schwartz S
    Motor Imagery Training During Arm Immobilization Prevents Corticomotor Idling: An EEG Resting-State Analysis
    Brain Topography, Mar 2020

  32. Delval A, Bayot M, Defebvre L, Dujardin K
    Cortical Oscillations during Gait: Wouldn't Walking be so Automatic?
    Brain Sciences, Feb 2020

  33. Dhami P, Atluri S, Lee JC, Knyahnytska Y, Croarkin PE, Blumberger DM, ..., Farzan F
    Prefrontal Cortical Reactivity and Connectivity Markers Distinguish Youth Depression from Healthy Youth
    Cerebral Cortex, Mer 2020

  34. Diers M, de Vos CC, Gandhi W, Hoeppli ME, Becker S, Bock E, Baillet S, Schweinhardt P
    Induced oscillatory signaling in the beta frequency of top-down pain modulation
    PAIN Reports, Jan 2020

  35. Dumas G, Moreau Q, Tognoli E, Kelso JAS
    The Human Dynamic Clamp Reveals the Fronto-Parietal Network Linking Real-Time Social Coordination and Cognition
    Cerebral Cortex, May 2020

  36. Etkin A, ..., O’Hara R
    Connectomics and Cognition Define a Treatment-Resistant Form of Post-Traumatic Stress Disorder
    preprint, Jan 2020

  37. Fahimi Hnazaee M, Khachatryan E, Chehrazad S, Kotarcic A, De Letter M, Van Hulle MM
    Overlapping connectivity patterns during semantic processing of abstract and concrete words revealed with multivariate Granger Causality analysis
    Scientific reports, Feb 2020

  38. Fiveash A, Schön D, Canette LH, Morillon B, Bedoin Nm Tillmann B
    A stimulus-brain coupling analysis of regular and irregular rhythms in adults with dyslexia and controls
    Brain and Cognition, Jan 2020

  39. Foldes ST, Boninger ML, Weber D, Collinger JL
    Effects of MEG-based neurofeedback for hand rehabilitation after tetraplegia: preliminary findings in cortical modulations and grip strength
    Journal of Neural Engineering, Mar 2020

  40. Fornia L, Puglisi G, Leonetti A, Bello L, Berti A, Cerri G, Garbarini F
    Direct electrical stimulation of the premotor cortex shuts down awareness of voluntary actions
    Nature Communications, Feb 2020

  41. Gastaldon S, Arcara G, Navarrete E, Peressotti F
    Commonalities in alpha and beta neural desynchronizations during prediction in language comprehension and production
    bioRxiv preprint, May 2020

  42. Gonzalez-Moreira E, Paz-Linares D, Areces-Gonzalez A, Wang Y, Li M, Harmony T, Valdes-Sosa P
    Bottom-up control of leakage in spectral electrophysiological source imaging via structured sparse bayesian learning
    bioRxiv preprint, Mar 2020

  43. Gori M, Amadeo MB, Campus C
    Temporal cues trick the visual and auditory cortices mimicking spatial cues in blind individuals
    Human Brain Mapping, Feb 2020

  44. Graber E, Fujioka T
    Induced Beta Power Modulations during Isochronous Auditory Beats Reflect Intentional Anticipation before Gradual Tempo Changes
    Scientific Reports, Mar 2020

  45. Gredin NV, Broadbent DP, Findon JL, Williams AM, Bishop DT
    The impact of task load on the integration of explicit contextual priors and visual information during anticipation
    Psychophysiology, Apr 2020

  46. Hatamimajoumerd E, Talebpour A, Mohsenzadeh Y
    Enhancing multivariate pattern analysis for magnetoencephalography through relevant sensor selection
    International Journal of Imaging Systems and Technology, Jan 2020

  47. Harquel S, Guerraz M, Barraud PA, Cian C
    Modulation of alpha waves in sensorimotor cortical networks during self-motion perception evoked by different visual-vestibular conflicts
    Journal of Neurophysiology, Mar 2020

  48. Hautasaari P, McLellan S, Koskio M, Pesonen H, Tarkka IM
    Acute exercise modulates pain-induced response on sensorimotor cortex ∼20 Hz oscillation
    Neuroscience, Jan 2020

  49. Hu S, Ngulugulu A, Bosch-Bayard J, Bringas-Vega ML, Valdes-Sosa PA
    Multinational qEEG developmental surfaces
    bioRxiv preprint, Jan 2020

  50. Huang N, Elhilali M
    Push-pull competition between bottom-up and top-down auditory attention to natural soundscapes
    eLife, Mar 2020

  51. Ishizaki T, Maesawa S, Nakatsubo D, Yamamoto H, Takai S, Shibata M, Kato S, Natsume J, Hoshiyama M, Wakabayashi T
    Distributed source analysis of magnetoencephalography using a volume head model combined with statistical methods improves focus diagnosis in epilepsy surgery
    Scientific Reports, Mar 2020

  52. Isik L, Mynick A, Pantazis D, Kanwisher N
    The speed of human social interaction perception
    NeuroImage, Apr 2020

  53. Iwatsuki K, Hoshiyama M, Oyama S, Yoneda H, Shimoda S, Hirata H
    Electroencephalographic Functional Connectivity With the Tacit Learning System Prosthetic Hand: A Case Series Using Motor Imagery
    Frontiers in Synaptic Neuroscience, Feb 2020

  54. Jaiswal A, Nenonen J, Stenroos M, Gramfort A, Dalal SS, Westner BU, Litvak V, Mosher JC, Schoffelen JM, Witton C, Oostenveld R, Parkkonen L
    Comparison of beamformer implementations for MEG source localization
    NeuroImage, Apr 2020

  55. Jin P, Lu Y, Ding N
    Low-frequency neural activity reflects rule-based chunking during speech listening
    eLife, May 2020

  56. Kakusa B, Saluja S, Dadey DYA, Barbosa DAN, ..., Halpern CH
    Electrophysiology and Structural Connectivity of the Posterior Hypothalamic Region: Much to Learn From a Rare Indication of Deep Brain Stimulation
    Frontiers in Human Neuroscience, May 2020

  57. Kang X, Boly M, Findlay G, Jones B, Gjini K, Maganti R, Struck Af
    Quantitative spatio-temporal characterization of epileptic spikes using high density EEG: Differences between NREM sleep and REM sleep
    Scientific Reports, Feb 2020

  58. Kim J, Kim MY, Kwon H, Kim JW, Im WY, Lee SM, …, Kim SJ
    Feature optimization method for machine learning-based diagnosis of schizophrenia using magnetoencephalography
    Journal of Neuroscience Methods, Mar 2020

  59. Kim TJ, Cha KS, Lee S et al
    Brain regions associated with periodic leg movements during sleep in restless legs syndrome
    Scientific reports, Jan 2020

  60. Kim YW, Kim S, Shim M, Jin MJ, Jeon H, Lee SH, Im CH
    Riemannian classifier enhances the accuracy of machine-learning-based diagnosis of PTSD using resting EEG
    Progress in Neuro-Psychopharmacology and Biological Psychiatry, May 2020

  61. Kobler RJ, Almeida I, Sburlea AI, Müller-Putz GR
    Using machine learning to reveal the population vector from EEG signals
    Journal of Neural Engineering, Feb 2020

  62. Kupers ER, Benson NC, Winawer J
    A visual encoding model links magnetoencephalography signals to neural synchrony in human cortex
    bioRxiv, Apr 2020

  63. Kuznetsova A, Lebedev M, Ossadtchi A
    Local propagation dynamics of MEG interictal spikes: source reconstruction with traveling wave priors
    bioRxiv, May 2020

  64. Liu K, Yu ZL, Wu W, Gu Z, Li Y
    Imaging Brain Extended Sources from EEG/MEG based on Variation Sparsity using Automatic Relevance Determination
    Neurocomputing, Jan 2020

  65. Liu Z, Shu S, Lu L, Ge J, Gao JH
    Spatiotemporal dynamics of predictive brain mechanisms during speech processing: an MEG study
    Brain and Language, Jan 2020

  66. Maheshwari A
    Rodent EEG: Expanding the Spectrum of Analysis
    Epilepsy Currents, Apr 2020

  67. Mammone N, Ieracitano C, Morabito FC
    A deep CNN approach to decode motor preparation of upper limbs from time-frequency maps of EEG signals at source level
    Neural Networks, Jan 2020

  68. Marchesotti S, Nicolle J, Merlet I, Arnal LH, Donoghue JP, Giraud AL
    Selective enhancement of low-gamma activity by tACS improves phonemic processing and reading accuracy in dyslexia
    bioRxiv, Apr 2020

  69. Marcu S, Pegolo E, Ívarsson E, Jónasson AD, Jónasson VD, Aubonnet R, Gargiulo P, Banea OC
    Using high density EEG to assess TMS treatment in patients with schizophrenia
    European Journal of Translational Myology, Apr 2020

  70. Marturano F, Brigadoi S, Doro M, Dell'Acqua R, Sparacino G
    Computer data simulator to assess the accuracy of estimates of visual N2/N2pc event-related potential components
    Journal of Neural Engineering, Apr 2020

  71. Meaux E, El Zein M, Mennella R, Wyart V, Grezes J
    Prioritized neural computations of socially-relevant signals during perceptual decision-making
    bioRxiv, Jan 2020

  72. Navarrete E, Miozzo M, Peressotti F
    Language can shape the perception of oriented objects
    Scientific Reports, May 2020

  73. Neme CA, Rodríguez RE, Graffigna JP, Otoya R, Gómez ME
    Incorporation of Dynamic Three Dimensional View of an Epileptic Seizure in a Multimodal Scene
    Revista Argentina de Bioingeniería, Apr 2020

  74. Noreika V, Windt JM, Kern M, Valli K, Salonen T, Parkkola R, Revonsuo A, Karim AA, Ball T, Lenggenhager B
    Modulating dream experience: Noninvasive brain stimulation over the sensorimotor cortex reduces dream movement
    Scientific Reports, Apr 2020

  75. Noreika V, Canales-Johnson A, Johnson A, Arnatkevičiūtė A, Koh J, Chennu S, Bekinschtein TA
    Wakefulness fluctuations elicit behavioural and neural reconfiguration of awareness
    bioRxiv, May 2020

  76. Novitskaya Y, Dümpelmann M, Vlachos A, Reinacher PC, Schulze-Bonhage A
    In vivo-assessment of the human temporal network: Evidence for asymmetrical effective connectivity
    NeuroImage, Mar 2020

  77. Ohki T, Matsuda T, Gunji A, Takei Y, Sakuma R, Kaneko Y, Inagaki M, Hanakawa T, Ueda K, Fukuda M, Hiraki K
    Timing of phase‐amplitude coupling is essential for neuronal and functional maturation of audiovisual integration in adolescents
    Brain and Behavior, Apr 2020

  78. Ono Y, Kudoh K, Ikeda T, Takahashi T, Yoshimura Y, Minabe Y, Kikuchi M
    Auditory steady‐state response at 20Hz and 40Hz in young typically developing children and children with autism spectrum disorder
    Psychiatry and Clinical Neurosciences, Mar 2020

  79. Ozdemir RA, Tadayon E, Boucher P, Momi D, Karakhanyan KA, Fox MD, … Santarnecchi E
    Individualized perturbation of the human connectome reveals reproducible biomarkers of network dynamics relevant to cognition
    PNAS, Mar 2020

  80. Parker T, Huang Y, Raghu ALB, FitzGerald JJ, Green AL, Aziz TZ
    Dorsal Root Ganglion Stimulation Modulates Cortical Gamma Activity in the Cognitive Dimension of Chronic Pain
    Brain Sciences, Feb 2020

  81. Pellegrino G, Hedrich T, Porras‐Bettancourt M, Lina JM, Aydin U, Hall J, Grova C, Kobayashi E
    Accuracy and spatial properties of distributed magnetic source imaging techniques in the investigation of focal epilepsy patients
    Human Brain Mapping, May 2020

  82. Raffin E, Harquel S, Passera B, Chauvin A, Bougerol T, David O
    Probing regional cortical excitability via input–output properties using transcranial magnetic stimulation and electroencephalography coupling
    Human Brain Mapping, May 2020

  83. Ranjbar M, Mikaeili M, Banaraki AK
    Single trial estimation of event‐related potential components using spatiotemporal filtering and artificial bee colony optimized Gaussian kernel mixture model
    International Journal of Adaptive Control and Signal Processing, Mar 2020

  84. Raud L, Westerhausen R, Dooley N, Huster RJ
    Differences in unity: The go/no-go and stop signal tasks rely on different mechanisms
    NeuroImage, Jan 2020

  85. Ricci L, Motolese F, Tombini M, Lanzone J, Rea R, Di Matteo F, Di Lazzaro V, Assenza G
    Metronidazole Encephalopathy EEG Features: A Case Report with Systematic Review of the Literature
    Brain Sciences, Apr 2020

  86. Rizkallah J, Amoud H, Fraschini M, Wendling F, Hassan M
    Exploring the Correlation Between M/EEG Source–Space and fMRI Networks at Rest
    Brain Topography, Jan 2020

  87. Rogasch NC, Zipser C, Darmani G, Mutanen TP, Biabani M, Zrenner C, Desideri D, Belardinelli P, Müller-Dahlhaus F, Ziemann U
    The effects of NMDA receptor blockade on TMS-evoked EEG potentials from prefrontal and parietal cortex
    Scientific reports, Feb 2020

  88. Ronconi L, Vitale A, Federici A, Pini E, Molteni M, Casartelli L
    Altered beta-band oscillations and connectivity underlie detail-oriented visual processing in autism
    bioRxiv, Jan 2020

  89. Schneider L, Seeger V, Timmermann L, Florin E
    Electrophysiological resting state networks of predominantly akinetic-rigid Parkinson patients: effects of dopamine therapy
    NeuroImage: Clinical, Jan 2020

  90. Sharma S, Sasidharan A, Marigowda V, Vijay M, ..., Ramesh Masthi NR
    Indian Classical music with incremental variation in tempo and octave promotes better anxiety reduction and controlled mind wandering – a randomised controlled EEG study
    EXPLORE, Mar 2020

  91. Shu S, Qin L, Yin Y, Han M, Cui W, Gao JH
    Cortical electrophysiological evidence for individual‐specific temporal organization of brain functional networks
    Human Brain Mapping, Jan 2020

  92. Soto-Icaza P, Beffara-Bret B, Vargas L, Aboitiz F, Billeke P
    Alteration in cortical processing of facial emotions in broader autism phenotype
    PsyArXiv preprint, Mar 2020

  93. Stephani T, Waterstraat G, Haufe S, Curio G, Villringer A, Nikulin VV
    Temporal signatures of criticality in human cortical excitability as probed by early somatosensory responses
    bioRxiv preprint, Oct 2019

  94. Ströhlein JK, Vieluf S, van den Bongard F, Gölz C, Reinsberger C
    Golf spielen gegen die Vergesslichkeit: Effekte des Erlernens der Sportart auf das Default Mode Netzwerk des Gehirns
    B&G Bewegungstherapie und Gesundheitssport, Apr 2020

  95. Sugata H, Yagi K, Yazawa S, Nagase Y, Tsuruta K, ..., Kawakami K
    Role of beta-band resting-state functional connectivity as a predictor of motor learning ability
    NeuroImage, Jan 2020

  96. Tae-Joon K, Su CK, Lee S, Yang TW, Kim KT…
    Brain regions associated with periodic leg movements during sleep in restless legs syndrome
    Scientific Reports, Feb 2020

  97. Tait L, Ozkan A, Szul MJ, Zhang J
    Cortical source imaging of resting-state MEG with a high resolution atlas: An evaluation of methods
    bioRxiv preprint, Jan 2020

  98. Tamilia E, Dirodi M, Alhilani M, Grant PE, Madsen JR, Stufflebeam SM, Pearl PL, Papadelis C
    Scalp ripples as prognostic biomarkers of epileptogenicity in pediatric surgery
    Annals of Clinical and Translational Neurology, Feb 2020

  99. Tang CW, Hsiao FJ, Lee PL, Tsai YA, Hsu YF, ...
    β-Oscillations Reflect Recovery of the Paretic Upper Limb in Subacute Stroke
    Neurorehabilitation and Neural Repair, Apr 2020

  100. Taylor KN, Joshi AA, Li J, Gonzalez-Martinez JA, Wang X, Leahy RM, Nair DR, Mosher JM
    The FAST Graph: A Novel Framework for the Anatomically-Guided Visualization and Analysis of Cortico-Cortical Evoked Potentials
    Epilepsy Research, Jan 2020

  101. Tesche CD, Houck J
    Discordant Alpha-band Transcranial Alternating Current Stimulation (tACS) Affects Cortico-cortical and Cortico-cerebellar Connectivity
    Brain Connectivity, Mar 2020

  102. Tian Y, Ma L
    Auditory attention tracking states in a cocktail party environment can be decoded by deep convolutional neural networks
    Journal of Neural Engineering, May 2020

  103. Togha MM, Salehi MR, Abiri E
    Calibration time reduction through local activities estimation in motor imagery-based brain-computer interfaces
    Biomedical Physics & Engineering Express, Jan 2020

  104. Tran AP, Yan S, Fang Q
    Improving model-based functional near-infrared spectroscopy analysis using mesh-based anatomical and light-transport models
    Neurophotonics, Feb 2020

  105. Treder MS, Charest I, Michelmann S, Martín-Buro MC, Roux F, Carceller-Benito F, Ugalde-Canitrot A, Rollings DT, Sawlani V, Chelvarajah R, Wimber M, Hanslmayr S, Staresina BP
    The hippocampus as the switchboard between perception and memory
    bioRxiv preprint, May 2020

  106. Veeramalla SK, Talari VKHR
    Multiple dipole source localization of EEG measurements using particle filter with partial stratified resampling
    Biomedical Engineering Letters, Feb 2020

  107. Veeramalla SK, Talari VKHR
    Neural source localization using particle filter with optimal proportional set resampling
    ETRI Journal, Feb 2020

  108. Vink JJT, Klooster DCW, Ozdemir RA, Westover MB, Pascual-Leone A, Shafi MM
    EEG Functional Connectivity is a Weak Predictor of Causal Brain Interactions
    Brain Topography, Feb 2020

  109. Visalli A, Capizzi M, Ambrosini E, Kopp B, Vallesi A
    Electroencephalographic Correlates of Temporal Bayesian Belief Updating and Surprise
    PsyArXiv, Apr 2020

  110. Wang Q, Luo L, Xu N, Wang J, Gao Y, Li S, Wang M, Teng P, Guan Y, Zhou J, Li T, Tian X, Luan G
    Revealing the functions of supra-temporal and insular auditory responsive areas in humans
    bioRxiv preprint, Mar 2020

  111. West R, Huet AM
    The Effect of Aging on the ERP Correlates of Feedback Processing in the Probabilistic Selection Task
    Brain Sciences, Jan 2020

  112. Wirsich J, Amico E, Giraud AL, Goñi J, Sadaghiani S
    Multi-timescale hybrid components of the functional brain connectome: A bimodal EEG-fMRI decomposition
    Network Neuroscience, Mar 2020

  113. Wójcik GM
    3 Selected methods of quantitative analysis in electroencephalography
    Simulations in Medicine, May 2020

  114. Wollman I, Arias P, Aucouturier JJ, Morillon B
    Neural entrainment to music is sensitive to melodic spectral complexity
    Journal of Neurophysiology, Feb 2020

  115. Xiong X, Yu Z, Ma T, Wang H, Lu X, Fan H
    Classifying action intention understanding EEG signals based on weighted brain network metric features
    Biomedical Signal Processing and Control, Mar 2020

  116. Xu M, Sanz DL, Garces P, Maestu F, Li Q, Pantazis D
    A Graph Gaussian Embedding Method for Predicting Alzheimer's Disease Progression with MEG Brain Networks
    arXiv preprint, May 2020

  117. Zhao K, Liu M, Gu J, Mo F, Fu X, Liu CH
    The Preponderant Role of Fusiform Face Area for the Facial Expression Confusion Effect: An MEG Study
    Neuroscience, Mar 2020

  118. Zhu Y, Zhang C, Poikonen H, Toiviainen P, Huotilainen M, Mathiak K, Ristaniemi T, Cong F
    Exploring Frequency-Dependent Brain Networks from Ongoing EEG Using Spatial ICA During Music Listening
    Brain Topography, Mar 2020

  119. Zuure MB, Cohen MX
    Narrowband multivariate source separation for semi-blind discovery of experiment contrasts
    bioRxiv preprint, Mar 2020


  1. Ahn S, Fröhlich F
    Pinging the Brain with Transcranial Magnetic Stimulation Reveals Cortical Reactivity in Time and Space
    bioRxiv preprint, Dec 2019

  2. Al-Fahad R, Yeasin M, Bidelman GM
    Decoding of single-trial EEG reveals unique states of functional brain connectivity that drive rapid speech categorization decisions
    Journal of Neural Engineering, Dec 2019

  3. Al-Fahad R, Yeasin M
    Micro-states based dynamic brain connectivity in understanding the commonality and differences in gender-specific emotion processing
    IEEE IJCNN, Oct 2019

  4. Al-Marri F, Reza F, Begum T, Hitam HWH, Jin GK, Xiang J
    Neural activation patterns and connectivity in visual attention during number and non-number processing: An ERP study using Ishihara pseudoisochromatic plates
    Journal of Integrative Neuroscience, Aug 2019

  5. Al-Momani S, Mir HS, Al-Nashash H
    Epileptogenic Foci Time Varying Source Localization Using Source Affine Image Reconstruction (SAFFIRE) Algorithm
    IEEE JEEIT, May 2019

  6. Amd M, Baillet S
    Neurophysiological Effects Associated With Subliminal Conditioning of Appetite Motivations
    Frontiers in Psychology, Mar 2019

  7. Anders R, Llorens A, Dubarry AS, Trébuchon A, Liégeois-Chauvel C, Alario FX
    Cortical Dynamics of Semantic Priming and Interference during Word Production: An Intracerebral Study
    Journal of Cognitive Neuroscience, Apr 2019

  8. Aoki S, Kagitani-Shimono K, Matsuzaki J, Hanaie R, Nakanishi M, Tominaga K, Nagai Y, Mohri I, Taniike M
    Lesser suppression of response to bright visual stimuli and visual abnormality in children with autism spectrum disorder: a magnetoencephalographic study
    Journal of Neurodevelopmental Disorders, Jun 2019

  9. Artemenko C, Soltanlou M, Bieck SM, Ehlis AC, Dresler T, Nuerk HC
    Individual Differences in Math Ability Determine Neurocognitive Processing of Arithmetic Complexity: A Combined fNIRS-EEG Study
    Frontiers in Human Neuroscience, Jul 2019

  10. Assi EB, Rihana S, Nguyen DK, Sawan M
    Effective connectivity analysis of iEEG and accurate localization of the epileptogenic focus at the onset of operculo-insular seizures
    Epilepsy Research, Mar 2019

  11. Azzalini D, Buot A, Palminteri S, Tallon-Baudry C
    Fluctuations in the homeostatic neural circuitry influence consistency in choices between cultural goods
    bioRxiv preprint, Oct 2019

  12. Babayan A et al
    A mind-brain-body dataset of MRI, EEG, cognition, emotion, and peripheral physiology in young and old adults
    Scientific Data, Feb 2019

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    "Neural signature of the conscious processing of auditory regularities,"
    PNAS, 106(5):1672-1677.

  4. Bristow D, Dehaene-Lambertz G, Mattout J, Soares C, Gliga T, Baillet S, Mangin JF
    "Hearing faces: how the infant brain matches the face it sees with the speech it hears,"
    J Cogn Neurosci, 21(5):905-21

  5. Carota F, Posada A, Harquel S, Delpuech C, Bertrand O, Sirigu A
    "Neural Dynamics of the Intention to Speak,"
    Cereb Cortex, 20(8):1891-7

  6. Chaumon M, Hasboun D, Baulac M, Adam C, Tallon-Baudry C
    "Unconscious contextual memory affects early responses in the anterior temporal lobe,"
    Brain Res,1285:77-87

  7. Dalal SS, Baillet S, Adam C, Ducorps A, Schwartz D, Jerbi K, Bertrand O, Garnero L, Martinerie J, Lachaux JP
    "Simultaneous MEG and intracranial EEG recordings during attentive reading,"
    Neuroimage, 45(4):1289-304

  8. Darvas F, Ojemann JG, Sorensen LB
    "Bi-phase locking - a tool for probing non-linear interaction in the human brain,"
    Neuroimage, 46(1):123-32

  9. Daunizeau J, Kiebel SJ, Friston KJ
    "Dynamic causal modelling of distributed electromagnetic responses"
    Neuroimage, 47(2):590-601

  10. Henson RN, Mattout J, Phillips C, Friston KJ
    "Selecting forward models for MEG source-reconstruction using model-evidence,"
    Neuroimage, 46(1):168–176

  11. Henson R, Mouchlianitis E, Friston KJ
    "MEG and EEG data fusion: Simultaneous localisation of face-evoked responses,"
    Neuroimage, 47(2):581–589

  12. Khemakhem R, Zouch W, Ben Hamida A, Taleb-Ahmed A, Feki L
    "EEG Source Localization Using the Inverse Problem Methods"
    IJCSNS, 9(4):408-415

  13. Liang WK, Wang MS
    "Source reconstruction of brain electromagnetic fields--source iteration of minimum norm (SIMN),"
    Neuroimage, 47(4):1301-11

  14. MacLeod RS, Stinstra JG, Lew S, Whitaker RT, Swenson DJ, Cole MJ, Krüger J, Brooks DH, Johnson CR
    "Subject-specific, multiscale simulation of electrophysiology: a software pipeline for image-based models and application examples",
    Philos Transact A Math Phys Eng Sci, 367(1896):2293-310

  15. Moratti S, Keil A
    "Not What You Expect: Experience but not Expectancy Predicts Conditioned Responses in Human Visual and Supplementary Cortex,"
    Cereb Cortex, 19(12):2803-9

  16. Robitaille N, Grimault S, Jolicœur P
    "Bilateral parietal and contralateral responses during maintenance of unilaterally encoded objects in visual short-term memory: Evidence from magnetoencephalography,"
    Psychophysiology, 46(5):1090-1099

  17. Rosanova M, Casali A, Bellina V, Resta F, Mariotti M, Massimini M
    "Natural frequencies of human corticothalamic circuits,"
    J Neurosci, 29(24):7679-85

  18. Rudrauf D, Lachaux JP, Damasio A, Baillet S, Hugueville L, Martinerie J, Damasio H, Renault B
    "Enter feelings: somatosensory responses following early stages of visual induction of emotion,"
    Int J Psychophysiol, 72(1):13-23


  1. Ammari H, "An Introduction to Mathematics of Emerging Biomedical Imaging,"
    Mathématiques et Applications, Vol. 62

  2. Bucolo M, Di Grazia F, Fortuna L, Frasca M, Sapuppo F
    "An environment for complex behaviour detection in bio-potential experiments"
    Math Biosci Eng, 5(2):261-76

  3. George N, Conty L
    "Facing the gaze of others,"
    Neurophysiol Clin, 38(3):197-207

  4. Grova C, Daunizeau J, Kobayashi E, Bagshaw AP, Lina JM, Dubeau F, Gotman J
    "Concordance between distributed EEG source localization and simultaneous EEG-fMRI studies of epileptic spikes,"
    Neuroimage, 39(2):755-774

  5. Izard V, Dehaene-Lambertz G, Dehaene S
    "Distinct cerebral pathways for object identity and number in human infants,"
    PLOS Biol, 6(2):e11

  6. Rudrauf D, David O, Lachaux JP, Kovach CK, Martinerie J, Renault B, Damasio A
    "Rapid Interactions between the Ventral Visual Stream and Emotion-Related Structures Rely on a Two-Pathway Architecture,"
    J Neurosci, 28(11):2793-2803

  7. Senot P, Baillet S, Renault B, Berthoz A
    "Cortical dynamics of anticipatory mechanisms in interception: a neuromagnetic study,"
    J Cogn Neurosci, 20(10):1827-38

  8. Spyrou L, Sanei S
    "Source localization of event-related potentials incorporating spatial notch filters,"
    IEEE Trans Biomed Eng, 55(9):2232-9

  9. Stoitsis J, Giannakakis GA, Papageorgiou C, Nikita KS, Rabavilas A, Anagnostopoulos D, "Evidence of a posterior cingulate involvement (Brodmann area 31) in dyslexia: a study based on source localization algorithm of event-related potentials,"
    Prog Neuropsychopharmacol Biol Psychiatry, 32(3):733-8

  10. Van Gaal S, Ridderinkhof R, Fahrenfort JF, Scholte HS, Lamme VAF
    "Frontal Cortex Mediates Unconsciously Triggered Inhibitory Control,"
    J Neurosci, 28(32):8053-8062


  1. Attal Y, Bhattacharjee M, Yelnik J, Cottereau B, Lefèvre J, Okada Y, Bardinet E, Chupin M, Baillet S
    "Modeling and detecting deep brain activity with MEG & EEG,"
    Conf Proc IEEE Eng Med Biol Soc, 2007:4937-40.

  2. Conty L, N'Diaye K, Tijus C, George N
    "When eye creates the contact! ERP evidence for early dissociation between direct and averted gaze motion processing,"
    Neuropsychologia, 45:3024-3037

  3. Cottereau B, Jerbi K, Baillet S
    "Multiresolution imaging of MEG cortical sources using an explicit piecewise model,"
    Neuroimage, 38(3):439-51

  4. Del Cul A, Baillet S, Dehaene S
    "Brain dynamics underlying the nonlinear threshold for access to consciousnes,"
    PLOS Biology, 5(10):e260

  5. Dossevi A, Garnero L, Ammari H
    "Geodesic and functional K-means algorithms. A bounding and multistart procedure to recover functional networks from MEG/EEG recordings,"
    IJBEM, 9(4):223-32

  6. Gramfort A, Cottereau B, Clerc M, Thirion B, Baillet S
    "Challenging the estimation of cortical activity from MEG with simulated fMRI-constrained retinotopic maps,"
    Conf Proc IEEE Eng Med Biol Soc, 2007:4945-8

  7. Henson RN, Mattout J, Singh KD, Barnes GR, Hillebrand A, Friston K
    "Population-level inferences for distributed MEG source localization under multiple constraints: Application to face-evoked fields,"
    Neuroimage, 38(3):422-438

  8. Jerbi K, Lachaux JP, N'Diaye K, Pantazis D, Leahy RM, Garnero L, Baillet S
    "Coherent neural representation of hand speed in humans revealed by MEG imaging,"
    PNAS, 104(18):7676-7681

  9. Stenroos M, Mantynen V, Nenonen J
    "A Matlab library for solving quasi-static volume conduction problems using the boundary element method"
    Comput Methods Programs Biomed, 88(3):256-63

  10. Nara T, Oohama J, Hashimoto M, Takeda T, Ando S
    "Direct reconstruction algorithm of current dipoles for vector magnetoencephalography and electroencephalography,"
    Phys Med Biol, 52(13):3859-79

  11. Weisend MP, Hanlon FM, Montano R, Ahlfors SP, Leuthold AC, Pantazis D, Mosher JC, Georgopoulos AP, Hamalainen MS, Aine CJ
    "Paving the Way for Cross-site Pooling of Magnetoencephalography (MEG) Data,"
    International Congress Series, 1300:615--618


  1. Daunizeau J, Mattout J, Clonda D, Goulard B, Benali H, Lina, JM
    "Bayesian spatio-temporal approach for EEG source reconstruction: conciliating ECD and distributed models", IEEE Transactions on Biomedical Engineering, 53(3):503-516

  2. David O, Kiebel SJ, Harrison LM, Mattout J, Kilner JM, Friston KJ
    "Dynamic causal modeling of evoked responses in EEG and MEG," Neuroimage, 30(4):1255-72

  3. Friston K, Henson K, Phillips C, Mattout J
    "Bayesian Estimation of Evoked and Induced Responses," Hum Brain Mapp, 27(9):722–735

  4. Grova C, Daunizeau J, Lina JM
    "Evaluation of EEG localization methods using realistic simulations of interictal spikes", Neuroimage, 29(3):734-753

  5. Le Van Quyen M, Amor F, Rudrauf D
    "Exploring the dynamics of collective synchronizations in large ensembles of brain signals," J Physiol Paris, 100(4):194-200



Publications on Brainstorm's code




PhD and masters theses

  1. Akhavein H, Depth cue invariant object representations in the visual cortex, McGill University, Montreal, Canada, 2017

  2. Alam M, An integrated system for quantitatively characterizing different handgrips and identifying their cortical substrates, Boston Universrity, 2017

  3. Balogun P, Detection of sleep and wake substates through unsupervised machine learning in rat hippocampus and primary motor cortex LFP recordings, University of Lethbridge, Canada, 2019

  4. Barbosa JLM
    Cadastro, processamento e visualização de eletroencefalograma
    Universidade Federal de Uberlândia, Brazil, 2019

  5. Bathelt JMC, Neural and socio-cognitive sequelae of congenital disorders of the peripheral visual system during mid-childhood, University College London, UK, 2015

  6. Becker H, Denoising, separation and localization of EEG sources in the context of epilepsy
    Université Nice Sophia Antipolis, France, 2014

  7. Belaoucha B, ?Using diffusion MR information to reconstruct networks of brain activations from MEG and EEG measurements, University of Cote d'Azur, France, 2017

  8. Bigliassi M, Cortical and psychophysiological effects of sensory modulation on attentional switching during exercise, Brunel University London, UK, 2018

  9. Binder C, Measurement and analysis of cortical activity using EEG during upper limb stabilization
    Marquette University, USA, 2015

  10. Bisaillon-Sicotte E, Acquisition et traitement des signaux cérébraux en meg-nirs simultanés
    Universite du Quebec, Canada, 2013

  11. Boldizar F, Optimizing design of on-scalp MEG systems, Chalmers University of Technology, Gothenburg, Sweden, 2017

  12. Bontemps AP, Self-Referential Processing and Psychopathic Traits in Incarcerated Adolescents, University of Alabama, USA, 2019

  13. Borghesani V, The neuro-cognitive representation of word meaning resolved in time and space
    Università degli Studi di Trento, Italy & Université Pierre et Marie Curie, Paris, 2017

  14. Boucher JS, Neuro-imagerie électromagnétique et localisation des oscillations cérébrales du sommeil, École de technologie supérieure, Montréal, Canada, 2017

  15. Cakir S, Magnetic Sensor Device with Integrated Magnetic Tunnel Junction Array Using Amorphous CoFeSiB Electrode, Tohoku University, Japan, 2019

  16. McDonough Carpentier S, It's Not Simple: Brain Signal Complexity as an Index of Neural Information Processing Described via Music Perception, Complexity and Reward, University of Toronto, Canada, 2019

  17. Cattan G, De la réalisation d’une interface cerveau-ordinateur pour une réalité virtuelle accessible au grand public, Grenoble-Alpes Universite, France, 2019

  18. Cortés Domínguez A, Procesamiento de señales para la detección anticipada de Crisis Epilépticas en el EEG, Sevilla, Spain, 2017

  19. Chaumillon M, Dominance oculaire: implications neurophysiologiques et conséquences au niveau de la visuo-motricité, Universite Aix-Marseille, France, 2015

  20. Chrapka P, Advances in EP and ERP signal processing, McMaster University, Canada, 2018

  21. Crobe A, Reti complesse e analisi del segnale elettroencefalografico
    Università degli Studi di Cagliari, Italy, 2016

  22. Crocker B, Neurophysiological properties of cortico-cortical evoked potentials in humans, MIT, Boston, USA, 2018

  23. Chan HL, Spatiotemporal Imaging of Functional Connectivity Using Electromagnetic Brain Signals
    National Chiao Tung University, Taiwan, 2015

  24. Chrysoula L, The Effects of Alcohol on the Emotional Stimuli Processing through the Investigation of Neurophysiological Signals, Aristotle University of Thessaloniki, Greece, 2012

  25. Consoli D, Computationally Enhanced Brain-Computer Interfaces Trained via Inverse Source Data, Politecnico di Torino, Italy, 2018

  26. Costa FH, Bayesian M/EEG source localization with possible joint skull conductivity estimation
    Universite de Toulouse, France, 2017

  27. Das Y, Change of Brain Network Connectivity in Human Vigilance States investigated by EEG, University of Texas at Arlington, USA, 2017

  28. Deeb SE, Analysis of Globus Pallidus Local Field Potentials and Electrocorticograms of Patients Diagnosed with Parkinson's Disease, San Diego State University, USA

  29. Díaz Blancat G, Dinámicas de los procesos proactivos y reactivos en el cambio de tarea, Universidad Complutense de Madrid, Spain 2019

  30. Dumas G, Neural dynamics of synchronous imitative interaction
    Université Pierre et Marie Curie - Paris VI, France, 2011

  31. Escobar Moralejo L, Movimiento de un brazo robótico con ondas cerebrales, Universidad de Sevilla, Spain, 2019

  32. Farkas D, Individual differences in the perception of the auditory streaming stimulus paradigm, Budapest University of Technology and Economics, Hungary, 2018

  33. Gao Y, Microsaccades in normal vision and in hemianopia after stroke
    Otto-von-Guericke-Universität, Magdeburg, Germany, 2019

  34. Garcia CM, Frontal parietal network function during a visuomotor task in fetal alcohol spectrum disorder: a magnetoencephalography study, University of New Mexico, USA, 2016

  35. Ghahremani A, Detection and Localization of Power and Coherence Dynamics with EEG
    McMaster University, Canada, 2013

  36. Ghosh A, Deep Learning as an investigation tool in Neuroimaging, McGill University, Canada, 2019

  37. González Gil V
    Identificación biométrica basada en el electroencefalograma
    Universidad de Sevilla, Spain, 2017

  38. Guduru K, Bionano Electronics: Magneto-Electric Nanoparticles for Drug Delivery, Brain Stimulation and Imaging Applications, Florida International Univsersity, USA, 2013

  39. Guillon J, Multilayer approach to brain connectivity in Alzheimer's disease, Sorbonne Université, France, 2018

  40. Hautasaari P, Exercise effects on early cortical somatosensory and nociceptive processing in the human brain, University of Jyväskylä, Finland, 2019

  41. Hilton TJ, Classification of Pre-clinical Seizure State Transitions in Scalp EEG using Global Cross-frequency Coupling Index, University of Toronto, Canada, 2017

  42. Homa L, Bayesian methods for source separation in magnetoencephalography
    Case Western Reserve University, USA, 2013

  43. Hutka SA, Pitch Processing Experience: Comparison of Musicians and Tone-Language Speakers on Measures of Auditory Processing and Executive Function, University of Toronto, Canada, 2015

  44. Hyder A, The role of the mirroring and mentalizing systems in action understanding, University of British Columbia, Canada, 2020

  45. Ingicco Joe, Interfacing and Control of Artificial Hands, Florida Atlantic University, USA, 2019

  46. Ivo IA, Optimizing miniature electrodes and current approaches to EEG analysis, Universidade de Lisboa, Portugal, 2019

  47. Jo HG, The Inner Sense of Free Will: Conscious Intention and Neural Substrates
    European University Viadrina, Germany, 2014

  48. Jmail Nawel, Séparation des activités cérébrales phasiques et oscillatoires en MEG, EEG et EEG intracérébral, Universite Aix-Marseille, France, 2018

  49. Kabbara A, Brain network estimation from dense EEG signals: application to neurological disorders, Universite Rennes, France, 2018

  50. Khosravani S, Wrist Joint Proprioceptive Functionand Its Corresponding Cortical Neural Activityin Cervical Dystonia, University of Minnesota, USA, 2019

  51. Kumar S, Default mode network in brain and it's identification with Electroencephalography, Indian Institute of Technology Kharagpur, India, 2019

  52. La Corte V, Systèmes de mémoire et distorsions mnésiques : approches neuropsychologique et neurophysiologique, Université Pierre et Marie Curie - Paris VI, France, 2012

  53. Lakshminarayanan K, Brain Mechanism for Enhanced Hand Function with Remote Sensory Stimulation, University of Wisconsin-Milwaukee, USA, 2016

  54. Lerud KD, Electrophysiological, Neural, and Perceptual Aspects of Pitch, University of Connecticut, USA, 2019

  55. Malone PS, Perceptual Learning in the Somatosensory System: Neural Mechanisms of Vibrotactile Categorization and Acoustic-To-Vibrotactile Speech Sensory Substitution, Georgetown University, USA, 2019

  56. Mangalathu-Arumana J, Integration of EEG-FMRI in an Auditory Oddball Paradigm Using Joint Independent Component Analysis, Marquette University, USA, 2012

  57. Marek SA, The contribution of functional brain networks and oscillations to the development of cognitive control, University of Pittsburgh, USA, 2017

  58. Martin G, Mecanismos cerebrales implicados en el flujo de información de breves estímulos sensoriales a la conciencia y memoria de trabajo, Universidad de Buenos Aires, Argentina, 2012

  59. Mascherin A, On a Computationally Empowered Virtual Reality System for Real Time Intracranial Neuronavigation, Politecnico di Torino, Italy, 2019

  60. McLellan S, Isometrisen lihasrasituksen vaikutus kivun prosessointiin aivokuorella : MEG-tutkimus, University of Jyväskylä, Finland, 2019

  61. Medani T, Contribution à l'amélioration du modèle de source dans la méthode des éléments finis pour la résolution du problème direct en électroencéphalographie, Université Pierre et Marie Curie - Paris VI, France, 2018

  62. Melo HL, Evidence Accumulation Drives Policy Change in Decision-Making, University of Toronto, Canada, 2017

  63. Michelmann S, Temporal dynamics and mechanisms of oscillatory pattern reinstatement in human episodic memory, University of Birmingham, UK, 2019

  64. Migliorelli Falcone C, Methods for noninvasive localization of focal epileptic activity with magnetoencephalography, Universitat Politecnica de Catalunya, Barcelona, Spain, 2017

  65. Mora Fuertes M, Effects of electrical stimulation in childhood epilepsy, Escola Tècnica Superior d'Enginyeria Industrial de Barcelona, Spain, 2019

  66. Oswald V, Corrélats neuronaux de la mémoire de travail en magnétoencéphalographie à l’étatde repos, Université de Montréal, Canada, 2016

  67. Pathak Y, Neuromodulation for Depression: Insights Gained from Neuroimaging and Computational Models, Marquette University, USA, 2014

  68. Philippe AC, Régularisation du problème inverse MEG par IRM de diffusion
    Université Nice Sophia Antipolis, 2013

  69. Rachman L, The" other-voice" effect: how speaker identity and language familiarity influence the way we process emotional speech, Sorbonne Université, France, 2019

  70. Rana KD, Time-varying functional connectivity and dynamic neurofeedback with MEG: methods and applications to visual perception, Boston University, 2018

  71. Rizkallah J, Characterization of neocortical networks from high-resolution EEG: application to disorders of consciousness, Universite de Rennes, France, 2019

  72. Rodrigues JP, New methodologies for directed functional connectivity applied to brain neuroimaging research, Universidade de Lisboa, Portugal, 2015

  73. Ruiz Ulloa J, Evaluación y mejora de una herramienta open source para la representación de la conectividad funcional del cerebro mediante el uso de imágenes MEG Y MRI, Universidad Politécnica de Madrid, 2018

  74. Salido-Ruiz RA, Problèmes inverses contraints en EEG : applications aux potentiels absolus et à l'influence du signal de référence dans l'analyse de l'EEG, Centre de Recherche en Automatique de Nancy, France, 2012

  75. Saloranta H, Somatosensory evoked fields after exercise induced pain, University of Jyväskylä, Finland, 2017

  76. Sato M, A study on information representation in the human brain by high spatiotemporal resolution analysis of neural current using source estimation of magnetoencephalography, University of Electro-Communications, Japan, 2018

  77. Schirner M, Bridging structure and function with brain network modeling, Charité-Universitätsmedizin Berlin, Germany, 2019

  78. Singh G, EEG Source Localization: A Machine Learning Approach, University of Tartu, Estonia, 2018

  79. Smith MM, Non-invasive Detection of Cortical Control Signals for Brain-Computer Interfaces
    University of Washington, USA, 2016

  80. Snyder DB, EEG Characterization of Sensorimotor Networks: Implications in Stroke, Marquette University, USA, 2020

  81. Soltanlou M, Neural and behavioral correlates of arithmetic development and learning in children, Eberhard-Karls-Universität Tübingen, Germany, 2019

  82. Staudacher G, Magnetoencephalographische und psychophysische Untersuchung nach olfaktorischer Stimulation, Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany, 2019

  83. Swedler RM, Examining Lower Extremity Motor Activity Using Magnetoencephalography
    Marquette University, USA, 2012

  84. Tait L, Multi-Scale Mathematical Modelling of Brain Networks in Alzheimer's Disease, University of Exeter, UK, 2019

  85. Theodorakopoulou A, Machine learning data preparation for epileptic seizures prediction, Technological Educational Institute of Crete, 2017

  86. Toole C, Source Localization of Tripolar Electroencephalography
    University of Rhode Island, USA, 2018

  87. Van Gestel HB, Human central autonomic cardiovascular regulation during exercise: brain regions involved with central command, Dalhousie University, Canada, 2013

  88. Wianda EM, Neural Synchrony in Neuromagnetic Signals and the Role of Alpha Oscillations for Working Memory, University of Toronto, Canada, 2019

  89. Wittevrongel B, Brain-Computer Interfacing based on Time-Domain EEG Response Detection combined with Beamforming, Katholieke Universiteit Leuven, Belgium, 2018

  90. Yassine S, Graph theoretical analysis of brain network communication, Lebanese University, Lebanon, 2018

  91. Zhang Y, Simulation and Design of Biological and Biologically-Motivated Computing Systems
    Texas A&M University, USA, 2014



Useful, mostly technical, background reading:

[1] S Baillet, JC Mosher, and RM Leahy, "Electromagnetic brain mapping," IEEE Signal processing magazine, vol. 18, pp. 14-30, 2001.

[2] M Huang, J Mosher, and R Leahy, "A sensor-weighted overlapping-sphere head model and exhaustive head model comparison for MEG," Phys. Med. Biol., vol. 44, no. 2, pp. 423–440, 1999.

[3] F Darvas, JJ Ermer, JC Mosher, and Leahy RM, "Generic head models for atlas-based EEG source analysis," Human Brain Mapping, vol. 27, no. 2, pp. 129-143, 2006.

[4] JC Mosher, RM Leahy and P Lewis , "Multiple dipole modeling and localization from spatiotemporal MEG data, "IEEE Trans. Biomed. Eng., vol. 39, no. 5, pp. 541-557, June 1992.

[5] JW Phillips, RM Leahy, JC Mosher, "MEG-based imaging of focal neuronal current sources," IEEE Transactions on Medical Imaging, vol. 16, no. 3, pp. 338-348, June 1997.

[6] S Baillet and L Garnero, "A Bayesian approach to introducing anatomo-functional priors in the EEG /MEG inverse problem," IEEE Trans. Biomed. Eng., vol. 44, pp. 374-385, 1997.

[7] D Schmidt, J George and C Wood, "Bayesian inference applied to the electromagnetic inverse problem," Human Brain Mapping, vol. 7, pp. 195-212, 1999.

[8] GL Barkley and C Baumgartner, "MEG and EEG in epilepsy," Journal of Clinical Neurophysiology, vol. 20, no. 3, p. 163, 2003.

[9] A Arieli, A Sterkin, A Grinvald, and A Aertsen, "Dynamics of ongoing activity: explanation of the large variability in evoked cortical responses," Science, vol. 273, no. 5283, p. 1868, 1996.

[10] C Tallon-Baudry and O Bertrand, "Oscillatory gamma activity in humans and its role in object representation," Trends Cogn Sci, vol. 3, no. 4, pp. 151-162, 1999.

[11] G Pfurtscheller and FH Lopes da Silva, "Event-related EEG/MEG synchronization and desynchronization: basic principles," Clinical Neurophysiology, vol. 110, no. 11, pp. 1842-1857, 1999.

[12] P Tass, MG Rosenblum, J Weule, J Kurths, A Pikovsky, J Volkmann, A Schnitzler, and HJ Freund, "Detection of n: m phase locking from noisy data: application to magnetoencephalography," Physical Review Letters, vol. 81, no. 15, pp. 3291-3294, 1998.

[13] CWJ Granger, BN Huangb, and CW Yang, "A bivariate causality between stock prices and exchange rates: evidence from recent Asianflu," Quarterly Review of Economics and Finance, vol. 40, no. 3, pp. 337-354, 2000.

[14] W Hesse, E Moller, M Arnold, and B Schack, "The use of time-variant EEG Granger causality for inspecting directed interdependencies of neural assemblies," Journal of Neuroscience Methods, vol. 124, no. 1, pp. 27-44, 2003.

[15] HB Hui, D Pantazis, SL Bressler, and RM Leahy, "Identifying true cortical interactions in MEG using the nulling beamformer," NeuroImage, 2009.

[16] JLP Soto, D Pantazis, K Jerbi, JP Lachaux, S Baillet, and RM Leahy, "Canonical Correlation Analysis Applied to Functional Connectivity in MEG," IEEE International Symposium on Biomedical Imaging (ISBI), April 2010.

[17] D Pantazis, TE Nichols, S Baillet, and RM Leahy, "A Comparison of Random Field Theory and Permutation Methods for the Statistical Analysis of MEG data," Neuroimage, vol. 25, pp. 355-368, April 2005.

[18] S Baillet, JC Mosher, and RM Leahy, "Brainstorm beta release: a Matlab software package for MEG signal processing and source localization and visualization," Neuroimage, vol. 11, p. 915, 2000.

[19] JC Mosher, S Baillet, F Darvas, D Pantazis, E Kucukaltun-Yildirim, and RM Leahy, "Brainstorm Electromagnetic Imaging Software," IJBEM, vol. 7, no. 2, pp. 189-190, 2005.

[20] A Tzelepi, N Laskaris, A Amditis, and Z Kapoula, "Cortical activity preceding vertical saccades: A MEG study," Brain Research, 2010.

[21] F Amor, S Baillet, V Navarro, C Adam, J Martinerie, and MLV Quyen, "Cortical local and long-range synchronization interplay in human absence seizure initiation," Neuroimage, vol. 45, no. 3, pp. 950-962, April 2009.

[22] T Bekinschtein, S Dehaene, B Rohaut, F Tadel, L Cohen, and L Naccache, "Neural signature of the conscious processing of auditory regularities," PNAS, vol. 106, pp. 1672-1677, February 2009.

[23] F Carota, A Posada, S Harquel, C Delpuech, O Bertrand, and A Sirigu, "Neural Dynamics of the Intention to Speak," Cerebral Cortex, 2009.

[24] M Chaumon, D Hasboun, M Baulac, C Adam, and C Tallon-Baudry, "Unconscious contextual memory affects early responses in the anterior temporal lobe," Brain research, 2009.

[25] S Moratti and A Keil, "Not What You Expect: Experience but not Expectancy Predicts Conditioned Responses in Human Visual and Supplementary Cortex," Cerebral Cortex, 2009.

[26] D Pantazis, GV Simpson, DL Weber, CL Dale, TE Nichols, and RM Leahy, "A novel ANCOVA design for analysis of MEG data with application to a visual attention study," Neuroimage, vol. 44, no. 1, pp. 164–174, 2009.

[27] P Hansen, M Kringelbach, and R Salmelin (eds.), Meg: An Introduction to Methods.: Oxford University Press, 2010.

[28] R Salmelin and S Baillet, "Electromagnetic brain imaging," Human Brain Mapping, vol. 30, pp. 1753-1757, 2009.

[29] The MoinMoin Wiki Engine,

[30] vBulletin,

[31] DW Shattuck and RM Leahy, "BrainSuite: An Automated Cortical Surface Identification Tool," Medical Image Analysis, vol. 8, no. 2, pp. 129-142, 2002,

[32] Y Cointepas, Manginm JF, L Garnero, JB Poline, and H Benali, "BrainVISA: Software platform for visualization and analysis of multi-modality brain data," Neuroimage, vol. 13, no. 6, p. S98, 2001,

[33] FreeSurfer,

[34] FieldTrip, Donders Institute for Brain, Cognition and Behaviour:

[35] A Delorme and S Makeig, "EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics," J Neurosci Methods, vol. 134, pp. 9-21, 2004,

[36] MS Hämäläinen. MNE software.

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