9:00 AM – 5:30 PM Registration Grand Ballroom Foyer
  Satellite Sessions
  10:00 - 5:00 PM Session A: Advances in BIomagnetic Signal Analysis
Dr Nagarajan, San Francisco CA and Dr Sekihara, Tokyo, Japan
Grand Ballroom E & F
   1:00 - 5:00 PM Session B: How to use optically pumped magnetometers
Dr Brookes, Nottingham, UK
Grand Ballroom A & B
   1:00 - 5:00 PM Session C: MEG North America
Dr Nugent, Washington DC, USA
Grand Ballroom C & D
  5:30 - 7:00 Opening Ceremony / Welcome Reception Franklin Hall B
Categorical Course - EPILEPSY PRIMER - Chair – W. Gaetz PhD
  7:00 am – 6:00 pm Registration Grand Ballroom Foyer
  7:30 - 8:00 AM Source Localization
C. Witton, Ph.D.
Grand Ballroom E & F
  8:00 - 8:30 What Type of Epilepsy Needs MEG?
H. Otsubo, M.D.
Grand Ballroom E & F


Non-sinusoidal and bursting oscillations in task and disease

Chair: Dr Woolrich (Oxford, UK)

Brain oscillations and the importance of waveform shape
Dr. Cole (UCSD, USA)

Temporal accuracy of transient events as a measure of cortico-cortical interactions
Dr. Tal (NKI, USA)

Transient phase-locking networks in rest and task
Dr. Woolrich (Oxford University, UK)

The rate of transient beta frequency events predicts task behaviour
Dr. Jones (Brown University, USA)

Beta burst dynamics in Parkinson’s disease with and without therapy
Dr. Tinkhauser (Oxford University, UK., University Hospital Bern, CH)

Natural patterns of rapid oscillatory changes in large-scale neural networks are dysregulated in Alzheimer's dementia
Dr. Sitnikov (MGH, USA)
Grand Ballroom E & F
  11:00 Break Franklin Hall B
  11:30 Keynote Speaker - Matti Hamalainen, PhD Grand Ballroom E & F
  12:30 - 1:30 PM Lunch on your own
International Advisory Board (IAB) Meeting

Boardroom (closed)


Poster session M1: “Resting state / functional connectivity #1

M-001    Dorsal visual network connectivity develops earlier than ventral as reflected in alpha oscillatory synchronization
M-003    Changes in resting state connectivity with age and the association with neuropsychological measures
M-005    Large-Scale Topographical Analysis of Oscillations and 1/f Background Reveals Patterns of Spatial Variation Within and Between Subjects
M-007    wMEM for MEG resting state functional connectivity analyses
M-009    The Reliability of Resting-State Functional Brain Networks Across Time and Time-Intervals
M-011    Atypical connectivity between brain regions involved in inhibition in adults with autism spectrum disorder
M-013    Band-specific oscillatory synchrony as an intrinsic organizational principle of the human connectome
M-015    Spectral power and network analysis in patients with persistent post-concussion symptoms following a mild traumatic brain injury.
M-017    Functional connectivity in patients with mild traumatic brain injury compared to healthy controls using MEG
M-019    Reduced functional connectivity during angry face processing in autism spectrum disorder
M-021    Children with autism spectrum disorder demonstrate regionally altered alpha-to-gamma phase-amplitude coupling
M-023    Test-retest reliability of MEG resting-state data in schizophrenia
M-025    A magnetoencephalography (MEG) signal marker of chronic pain
M-027    Increased Repertoire of Network Microstates in δ frequency for mild traumatic brain injury subjects: A MEG Beamformed Connectivity Analysis
M-029    Phase-amplitude coupling across brain areas in Parkinson’s disease
M-033    Source-level MEG analysis of the intrinsic temporal properties of neural networks in Schizophrenia
M-035    MEG Resting state functional connectivity and Minimum Spanning Trees in developmental dyslexia
M-037    MEG Measures of Functional Connectivity Yield Robust Differences Between Neurologically Normal and Concussed Cohorts
M-039    Lack of maturation in peak alpha frequency in children with autism spectrum disorder: a replication.
M-041    Atlas of the human cortex derived from MEG functional connectivity
M-043    Dynamic Functional Connectivity During a Grip-force Task
M-045    Measuring interactions between Thalamus, Hippocampus and Cortex during sleep spindles: Combining MEG and machine learning
M-047    Early alterations in power distribution of brain activity at different stages of Alzheimer’s Disease
M-049    Atypical resting state connectivity and spectral power in very preterm children
M-051    The impact of exercise on information processing and functional connectivity under varying cognitive demands in children treated for brain tumours
M-053    Extraction of EEG network components by using stacked pooling and linear components estimation
M-055    Neurophysiologically informed modelling of pharmaco-MEG data: mechanistic linking receptor pharmacology to functional network phenomena
M-057    Mapping causal source interactions in spontaneous MEG activity.
M-059    Divergent Maturation Trajectories of Phase-Amplitude Coupling in ASD
M-061    Global Alpha and Beta band Functional Connectivity in Children with Autism Spectrum Disorders and Children with Sensory Processing Dysfunction
M-063    Dynamic Community Structure in Major Depressive Disorder: A Resting-State MEG Study
M-065    Neural network pattern in ALS patients with or without cognitive impairment
M-067    Mindfulness Meditation induces modification of functional connectivity in the right hippocampus in the theta band.
M-069    Different neuronal avalanches dynamics in Parkinson’s Disease during resting state recorded by magnetoencephalography
M-071    Long term effect of cathodal direct current stimulation on resting state brain networks
M-073    Spontaneous cortical activity transiently organises into frequency specific phase-coupling networks
M-075    Typical neurodevelopmental trajectories characterised by magnetoencephalography
M-077    Decomposing Task and Rest MEG Data into Large-Scale Oscillatory Modes
M-079    Task-Evoked Transient Bursting Large-scale Network Dynamics
M-081    Identifying Language Network Hubs with Multilayer Centrality
M-083    Comparing MEG and high-density EEG for the mapping of electrophysiological resting-state networks
M-085    Abnormal functional coupling in the dynamic pain connectome in patients with multiple sclerosis chronic pain
M-087    Quantification of magnetic nanoparticles using magnetorelaxometry and optically pumped magnetometers
M-089    Identifying the core hub of the default-mode network with MEG: effects of inverse modeling and MEG system on envelope correlation topography
M-091    Project Skyfall: Using feature-film viewing in fMRI and MEG to map whole- brain oscillatory-neurovascular coupling and a possible reversed relationship in the human default-mode network
M-093    Altered temporal stability in dynamic neural networks underlies connectivity changes in neurodevelopment
M-095    A multivariate method for disclosing the directionality of frequency-specific neural interactions from biomagnetic signals
M-097    A novel methodology for measuring brain connectivity
M-099    Reconstructing the language network using band-limited power envelope functional connectivity in resting-state magnetoencephalography
M-101    Spatio-temporal structure of time lags in ongoing brain activity as revealed by MEG
M-103    Bayesian Optimisation of Large-Scale Biophysical Networks
M-105    A biophysical model of dynamic balancing of excitation and inhibition in fast oscillatory large-scale networks
M-107    Signal transmission event analysis of human connectome dynamics
M-109    Childhood Brain Signal Complexity and Connectivity
M-111    Functional Connectivity Maturations in Autism Spectrum Disorder during Face Processing
M-113    Alpha-gamma couplings and gamma phase synchronization reveal push-pull hyper frontolimbic interactions in major depression disorder during resting state
M-115    Dynamic causal modelling of retino-cortical connectivity
M-117    Posttraumatic stress disorder and rest: a longitudinal study of resting-state MEG connectivity
M-119    Abnormal right-hemispheric alpha power modulation: the aberrant neuromagnetic clock in schizophrenia?
M-121    Cross-site comparison of resting-state connectivity and oscillatory gamma responses in a visuomotor task in healthy individuals of the MEGUK Partnership cohort
M-123    Combined cortical and subcortical resting state ICA-based dynamic functional connectivity of MEG data: method, validation, results
M-125    Disruption of resting state activity as a function of alcohol consumption in nonhuman primates
M-127    Identification of Neuromagnetic Biomarkers in Migraine and Posttraumatic Headaches Using Artificial Intelligence Techniques
M-129    Oscillatory coherent networks involving the internal Globus Pallidus: evidence from a new patient cohort.
M-131    Developmental trajectory of infant brain signal variability: a longitudinal pilot study
Franklin Hall B
  1:30 BioMag Central Meeting Boardroom (closed)


Young Investigator Award Finalists Symposium


Grand Ballroom E & F

Optimising spatial resolution for EEG/MEG connectivity and pattern information analyses

Chars: Drs. Hauk, and Palva

Resolution analysis: on the role of noise in MEG/EEG source estimation
Drs. Stenroos (Aalto University, Helsinki, Finland)
EEG/MEG-adaptive cortical parcellations improve reconstructions of the brain connectome
Dr. Farahibozorg (University of Oxford, UK)
Hyperedge bundling for controlling spurious connectivity in MEG/EEG interaction mapping
Dr. Palva (University of Helsinki, Finland)
Multivariate leakage corrected functional connectivity for resting state MEG
Dr. Khan (Harvard University, Boston)
Beyond linear methods to reduce cross-talk in multi-dipole source configurations
Dr. Gramfort (Inria Saclay Île-de-France)
Hippocampal traveling waves as an index of intra-regional connectivity
Dr. Meyer (University College London)

Grand Ballroom A & B

Advanced MEG/EEG source analysis in epilepsy


Carsten Wolters (Institute for Biomagnetism and Biosignalanalysis, University Münster, Germany)
Stefan Rampp (Department of Neurosurgery, University Hospital Erlangen, Germany)

Influence of head tissue conductivity uncertainties on EEG source localization
Dr. Johannes Vorwerk (Scientific Computing & Imaging (SCI) Institute, University of Utah, Salt Lake City, UT, USA)

New methods for combined EEG/MEG source analysis and a connectivity study in a multi-focal epilepsy patient
Dr. Carsten Wolters (University Münster, Germany)

Source analysis to localize interictal epileptic discharges and to study functional connectivity patterns
Dr. Aydin, (Concordia University, Montréal, Canada)

Combined EEG/MEG source analysis for presurgical epilepsy diagnosis using calibrated realistic volume conductor model
Dr. Marios Antonakakis (University Münster, Germany)

Grand Ballroom C & D
  5:00 Vendor's Perspective Grand Ballroom E & F


Poster Session M2 “Algorithms and Source Estimation

M-002     TBA
M-004     TBA
M-006    Sensitivity of SNR maps of cortical and subcortical sources in EEG and MEG to realistic head modeling
M-008    The Discontinuous Galerkin Finite Element Method for Solving the MEG and the combined MEG/EEG Forward Problem
M-010    Increasing meg sensor density using head movement
M-012    Comparing electrical source imaging of visual evoked potentials measured using high-density EEG inside and outside the MR scanner: impact of number of trials averaged
M-014    Combined EEG/MEG source analysis to guide Zoomed MRI
M-016    Configurations of cortical sources with non-zero magnetic dipole moment
M-018    Source reconstruction in ultra-low SNR conditions for network analysis of resting state data
M-020    Across uneven terrain: watch your step when summarizing ROIs from MEEG source reconstruction.
M-022    OpenMEEG software for forward problems, coping with non-nested geometries
M-024    Oversampled temporal projection as a sensor noise suppression method for magnetoencephalography – a validation study
M-026    A Network diffusion model for combining MEG and Diffusion MRI data
M-028    NeuroPycon: A python package for efficient multi-modal brain network analysis
M-030    Are common inverse solutions good enough for studying whole-brain connectivity in source space?
M-032    Expectation--maximization algorithm with a Rao-Blackwellized particle smoother for dynamic connectivity estimation from MEG data
M-034    An unsupervised clustering approach for MEG-informed cortical parcellation.
M-036    Robust Noise Suppression Using Temporal Projection
M-038    Incorporating source orientations from DWI into MEG beamformer reconstructions of visual evoked responses
M-040    Beamforming can recover MEG source time courses of visual responses despite cardiac pacemaker artefacts
M-042    Rapid, empirical optimisation of visual stimulus sets to individual MEG sensitivity distributions
M-044    An adapted compressed sensing algorithm for magnetorelaxometry imaging
M-046    Estimation of MEG sensor signals on bad channels using a supervised algorithm
M-048    Oblique Projection for Power and Shift Invariant Imaging of Coherent Sources
M-050    Flux: A pipeline for MEG analysis promoting scientific reproducibility and preregistration
M-052    Real-time Signal Processing Platform for Magnetoencephalography
M-054    Sochu: A Novel Bayesian Scanning Algorithm for Electromagnetic Brain imaging
M-056    Robust automated estimation of single-trial MEG evoked responses
M-058    Deep Learning for MEG/EEG Distributed Source Estimation
M-060    A hierarchical Bayesian perspective on majorization-minimization for non-convex sparse regression: application to M/EEG source imaging
M-062    Improving MEG–MRI co-registration for reliable MEG connectivity analysis
M-064    Estimating single-trial time courses from EEG/MEG data using spatial filtering
M-066    Group analysis in FieldTrip of time-frequency responses: a pipeline for reproducibility at every step of processing, going from individual sensor space representations to an across-group source space representation
M-068    Data-driven cortical clustering to provide a family of plausible solutions to M/EEG inverse problem
M-070    Sensitivity of the E/MEG forward problem to variations in the electrical conductivity field
M-072    The analytical subtraction approach for solving the forward problem in E/MEG
M-074    Unsupervised selection of good epochs and channels: automating data cleaning for magnetoencephalographic signals
M-076    Group analysis in MNE-Python of evoked responses from a tactile stimulation paradigm: going from individual sensor space representations to an across-group source space representation
M-078    Comparison of different depth weighting schemes of minimum L1-norm estimates for neuromagnetic source imaging: a simulation study
M-080    Comparison of beamformer implementations in MEG source estimation
M-082    MEG based functional microscopy using traveling wave priors
M-084    Beamspace dual signal space projection (bDSSP):  A method for selective detection of deep sources in MEG measurements
M-086    MEG data do not correlate linearly with fiducial distance nor velocity
M-088    MNE-CPP: An Open-Source Framework for Real-Time Electrophysiological Data Processing
M-090    Efficient estimation of head model parameters with MEG data
M-092    A method of the coregistration between MEG and MRI data for the MEG system combined with ULF-MRI
M-094    Magnetic noise cancellation for a whole-head MEG system based on magnetometers installed in a hospital
M-096    Paediatric Measures with OPM-MEG: a Simulation Study
M-098    Non-linear auto-regressive models for cross-frequency coupling in neural time series
M-100    Detection of High Frequency Oscillations with Magnetoencephalography and Artificial Intelligence Techniques
M-102    Influence of head tissue conductivity uncertainties on EEG source localization
M-104    A 3D visualization tool for invasive electrodes spatial-temporal localization using fMRI, EEG and MEG
M-106    Probing Brain Function With A Novel Combination Of Optogenetics and Neuroimaging
M-108    Sensitivity evaluations of new optically-pumped magnetometers in simulated magnetoencephalography
M-110    Decoding motor imagery across subjects from MEG and EEG
M-112    Non-invasive imaging of traveling waves in human hippocampus
M-114    Selective Suppression of Cortical Signal
M-116    Parallel and serial brain processes revealed by time-resolved decoding of MEG signals
M-118    Real-time Decoding of Four Simultaneous Bilateral Hand Movements for MEG-based Brain-Geminoid Interface
M-120    Neuronal oscillations of human intracranial EEG decode oculomotor decision-making
M-122    Decoding Spoken Speech from MEG Signals
M-124    Functional whole brain connectivity using magnetoencephalography to identify the neuro-biomarkers of BCI-robotic driven stroke recovery
M-126    Automatic Detection of Pathological EEGs Using Deep Convolutional Neural Networks
M-128    Detection of a Patient’s Gender only from Raw EEG Data Using Deep Convolutional Neural Networks – And How This Could Improve Medical Evaluations
M-130    Predictive coding during natural speech listening studied using MEG and recurrent neural networks
Franklin Hall B
  7:30 End of Day
Categorical Course - FUNCTIONAL MAPPING Chair – E. Schwartz MD
  7:00 am – 6:00 pm Registration Grand Ballroom Foyer
  7:30 - 8:00 AM Oscillations Dynamics of Motor Control
T. Wilson, Ph.D.
Grand Ballroom
  8:00 – 8:30 Mapping and Decoding Brain Function
M. Hirata, M.D., Ph.D.
Grand Ballroom

New developments in optically pumped magnetometry

Organizer: Dr. Barnes

On-scalp magnetoencephalography: a new window to brain function?
Dr. Parkkonen

A microfabricated optically-pumped gradiometer array for MEG.
Dr. Knappe

A multi-channel magnetoencephalography system using optically pumped magnetometers.
Dr. Schwindt

Second generation OPM sensors: a roadmap from single-channel sensors to high-density systems.
Dr. Shah

Wearable magnetoencephalography: a new frontier for neuroimaging.
Dr. Brookes

Grand Ballroom E & F
  11:00 Break Franklin Hall B
  11:30 Keynote Speaker - Patricia K. Kuhl, PhD Grand Ballroom E & F
  12:30 - 1:30 PM Lunch on your own
  1:30 Poster Session T1 “Sensory Systems & Motor #1” Franklin Hall B
  1:30 Data Analysis Competition Grand Ballroom C & D


Chair: Bloy


Huang, Y
Grand Ballroom E & F

Neuropsychiatric insights from MEG

Chairs: Cornwell / Hirano

Oscillatory Dynamics of Attention Function in Alcohol Use Disorder
Drs. Lew and Wilson (Department of Neurological Sciences, University of Nebraska Medical Center)

Devil or Angel: Abnormal MEG Slow-wave and its Role in Diagnosing and Treating Mild Traumatic Brain Injury
Dr. Huang (School of Medicine, University of California, San Diego)

Abnormal cortical activities in psychosis: toward translational research
Dr. Hirano (Kyushu University)

Bottom-Up Versus Top-Down Functional Connectivity in Autism Spectrum Disorder
Dr. Khan (Harvard Medical School, Massachusetts General Hospital)

Biased feedforward cortical processing in anxious hypervigilance
Dr. Cornwell (Swinburne University of Technology)

Grand Ballroom A & B

Multiple, Variable Alphas: Novel Insights into the Properties of the Brain's Dominant Rhythm(s)

Organizer: Keitel / Benwell

Spatial and spectral variability of alpha as studied intracranially in humans
Dr. Haegens (Columbia University, USA)

The electroretinogram exhibits eyes-closed alpha oscillations that couple with visual cortex
Dr. Dalal (Aarhus University, Denmark)

Fine Structure of Posterior Alpha Rhythm in Human EEG
Dr. Barzegaran (University of Lausanne, Switzerland)

Variability of spontaneous neural oscillations predicts the temporal sensitivity of multisensory perception from trial to trial
Raquel London (Ghent University, Belgium)

Systematic non-stationarity of α-oscillations in the human brain: Long term frequency sliding and power changes
Dr. Benwell (University of Glasgow, UK)

Grand Ballroom C & D
  5:00 Break
  5:30 - 6:30 Poster Session T2 “Resting state #2, Sensory #2 and Clinical” Franklin Hall B
  7:30 - 9:30 Gala - Philadelphia Museum of Art
  7:00 am – 6:00 pm Registration Grand Ballroom Foyer
  7:30 - 8:00 AM Clinical use of MEG in the Memory Clinic and in MS
A. Hillebrand, Ph.D.
Grand Ballroom
  8:00 - 8:30 MEG in Clinical Pediatrics: Developmental Considerations and Effect of Early Brain Lesions
P. Nevalainen, M.D., Ph.D.
Grand Ballroom

Open Science

Organizer: Niso


Oostenveld / Popov

Grand Ballroom E & F
  11:00 Break Franklin Hall B
  11:30 Keynote Speaker - Stephanie R. Jones, PhD Grand Ballroom E & F
  12:30 - 1:30 PM Lunch on your own
  1:00 Business Meeting with James Zimmerman Prize Award presentation & lecture 1:00 - 1:35pm
  2:15 Poster Session W1 “Hardware” Franklin Hall B

Chair: Bloy


Jensen, K

Grand Ballroom E & F

Neuronal oscillations at multiple spatio-temporal scales: from methods to brain’s function and dysfunction(s)

Chairs: Drs. Marzetti and Pizzella

Aberrant alpha oscillations in ADHD patients
Dr. Jensen (University of Birmingham, U.K.)

Comparison of MEG resting state approaches and application to Parkinson’s disease
Dr. Florin (Heinrich-Heine University Düsseldorf, Germany)

Large-scale synchronization in ongoing brain activity by multidimensional connectivity
Dr. Marzetti (University of Chieti-Pescara, Italy)

Frequency specificity of the brain networks in healthy and clinical population
Dr. Pizzella (University of Chieti-Pescara, Italy)

Modulation of beta oscillations: a marker of disorder and personality
Dr. Brookes (The University of Nottingham, U.K.)

Whole-brain MEG reveals reduced long-range synchronization in chronic schizophrenia
Dr. Palva (University of Helsinki, Finland)

Grand Ballroom A & B

Investigating the sleeping brain using MEG

Chair: Dr. Schreiner

Spindle activity phase-locked to global slow oscillations
Dr. Klinzing

Trajectories of traveling slow waves and spindles during NREM sleep
Dr. Schönauer

Imaging REM sleep oscillations with magnetoencephalography
Dr. Coffey

Continued Evaluation of Environmental Stimuli during Sleep
Dr. Schabus)

Identifying memory reactivations
Dr. Schreiner

Grand Ballroom C & D
  5:00 Poster Session W2 “Higher Cognitive Processes” Franklin Hall B
  6:30 End of Day
  7:00 am – 1:00 pm Registration Grand Ballroom Foyer
  7:30 - 8:00 AM Optically Pumped Magnetometry for MEG: Towards Clinical Translation
M. Brookes, Ph.D.
Grand Ballroom
  8:00 - 8:30 Robust Oscillatory and Neurochemical Biomarkers in Schizophrenia: Integrating MEG, MRS and Modelling
K. Singh, Ph.D.
Grand Ballroom

Multimodal imaging with magnetic resonance and MEG

Chairs: Drs. Zevenhoven and Kim



Grand Ballroom E & F

Temporal and Spectral Properties of Hub Networks


Dr. de Pasquale (University of Teramo, Teramo, Italy)
Dr. Della Penna (University of Chieti-Pescara, Chieti, Italy)

Modeling and interpreting mesoscale network dynamics at rest and during cognitively demanding tasks
Dr. Bassett (University of Pennsylvania, Philadelphia, USA)

Functional cores in network dynamics
Dr. de Pasquale (University of Teramo, Teramo, Italy)

The relationship between rest and task dynamics of integration
Dr. Della Penna (University of Chieti-Pescara, Chieti, Italy)

The relationship between static and dynamic functional connectivity: Insights from Neurodevelopment
Dr. Brookes (University of Nottingham, Nottingham, UK)

Meta-stable Brain Waves
Dr. Breakspear (QIMR Berghofer Medical Research Institute, Brisbane, Australia)

Grand Ballroom A & B

MEG Connectome in Childhood Disease

Chairs: Drs. Dunkley and Pang

Development of brain networks for speech production and face perception: Studies of preschool aged children with a custom-sized pediatric MEG system
Dr. Johnson (Macquarie University, Australia)

The default mode network and neurodevelopmental disorders: data from the Province of Ontario Neurodevelopmental Disorders (POND) Network
Dr. Dunkley (Hospital for Sick Children, Toronto, Canada)

Connectivity and Network-Based Mapping of Critical Language Sites in Children with Epilepsy
Dr. Kadis (Cincinnati Children’s Hospital, Cincinnati OH, USA)

Mental flexibility and emotion regulation in children with neurodevelopmental disorders
Dr. Pang (Hospital for Sick Children, Toronto, Canada)

Grand Ballroom C & D
  11:00 Break Franklin Hall B

MEG connectomics for understanding healthy and disordered networks


Dr. Ghuman (University of Pittsburgh)

Using Multivariate Time Series Improves Estimation of Functional Connectivity Patterns
Mr. Bruña (Technical University of Madrid)

Band-specific oscillatory synchrony as an intrinsic organizational principle of the human connectome
Dr. Ghuman (University of Pittsburgh)

Spectral Fingerprints of Neuronal InteractionsDr. Siegel (University of Tuebingen)

Analysis of the dynamic properties of interaction at rest
Dr. Della Penna (University of Chieti-Pescara)

What could connectivity tell us about Schizophrenia?
Dr. O’Neill (University of Nottingham)

Using individualized brain network models to improve epilepsy surgery outcome
Dr. Hillebrand (VU Medical Center)

Grand Ballroom E & F

From neural activity to multivariate patterns in MEG: Recent advances, challenges, and future prospects


Dr. Pantazis (Massachusetts Institute of Technology)

Confusions in the use of multivariate decoding for the study of brain function
Martin Hebart (National Institute of Mental Health)

From brain responses to algorithms: advances in parsing the computational architecture of perceptual decision making with MEG and machine learning
Ms. Laura Gwilliams (New York University)

Tracking the spatio-temporal neural trace of image memorability
Dr. Mullin (Massachusetts Institute of Technology)

Ultra-rapid serial visual presentation disentangles feedforward and feedback processes in the ventral visual pathway
Dr. Pantazis (Massachusetts Institute of Technology)

Characterizing the spatiotemporal dynamics of emotional face perception
Diana Dima (Cardiff University)

Grand Ballroom A & B

Thinking outside the brain box: Using MEG to assess oscillatory coupling between the brain and the body

Chairs: Drs. Jerbi and Dalal

Brain-heart coupling as a building block of self-consciousness
Dr. Rebelo (Institut du Cerveau et de la Moelle Épinière, Pitié-Salpêtrière, Paris)

Faster than the brain’s speed of light: Retinocortical interactions differ in high frequency activity when processing darks and lights
Dr. Westner (Center of Functionally Integrative Neuroscience, Aarhus University, Denmark0

Predictive entrainment of natural speech through two frontomotor top-down channels
Dr. Park (University of Birmingham, Birmingham, United Kingdom and University of Glasgow, Glasgow, United Kingdom)

Cortico-muscular coherence in Parkinson’s disease: Differentiated effects of deep brain stimulation and dopaminergic medication on motor cortical function
Dr. Højlund (Center of Functionally Integrative Neuroscience (CFIN), Aarhus University, Denmark and Department of Neurology, Aarhus University Hospital, Denmark)

Insights into proprioceptive spino-cortical pathways from the coupling between movement kinematics and neocortical activity.
Dr. De Tiège (Université libre de Bruxelles, Brussels, Belgium)

Capturing top-down modulations of cochlear activity within an integrated neuro-cochlear measurement framework
Dr. Demarchi (Paris Lodron University of Salzburg, Austria)

Grand Ballroom C & D
  1:30 pm Closing Remarks Grand Ballroom E & F