Scalable and Sensor-Agnostic Software for Distributed Processing and Visualization of Multi-Site MEG/EEG Datasets

NIH Pandemic-Era Grants

Pandemic Era Grants

2024

Document text

Principal Investigator: MATTI  HAMALAINEN
Organization: AALTO UNIVERSITY
Fiscal Year: 2024
Award: $507,643
Funding agency: National Institute of Neurological Disorders and Stroke

Project Summary
During the past three decades non-invasive functional brain imaging has developed immensely in terms of
measurement technologies, analysis methods, and innovative paradigms to capture information about brain
function both in healthy and diseased individuals. While functional MRI (fMRI) provides a wealth of information
by measuring the indirect slow hemodynamic signals. Magnetoencephalography (MEG) and
electroencephalography (EEG) remain the only noninvasive techniques capable of directly measuring the
electrophysiological activity directly with a millisecond resolution. During the past twelve years we have
developed, with NIH support, the MNE-Python software, which covers multiple methods of data preprocessing,
source localization, statistical analysis, and estimation of functional connectivity between distributed brain
regions. All algorithms and utility functions are implemented in a consistent manner with well-documented
interfaces, enabling users to create M/EEG data analysis pipelines by writing Python scripts. To further extend
our software to meet the needs of a growing user base and reflect recent developments in MEG/EEG as well
as in invasive electrophysiological recordings. Optically Pumped Magnetometers (OPMs) are sensitive room-
temperature magnetic field sensors that have begun to provide movable, flexible, lightweight, on-scalp MEG
systems, and may soon provide higher signal-to-noise ratio and more complete spatial frequency sampling
than SQUID-based systems. However, analysis tools optimal processing of OPM-MEG data are largely
missing. Therefore, in Aim 1, we will introduce tools for High-Resolution On-Scalp OPM-MEG Data Analysis.
Electrocorticography (ECoG) and subcortical EEG (sEEG) provide focal spatial measurements of the
electrophysiological activity. In Aim 2, we will develop sEEG and ECoG workflows, which includes electrode
localization and intracranial inverse and forward modeling. Recent methodological advances by our group and
the availability of on-scalp OPM-MEG systems (Aim 1) and ECoG/sEEG (Aim 2) have expanded the
possibilities for improved localization of deep (cortical and subcortical) sources in basic and clinical research
applications. In Aim 3, we will introduce these methods to the repertoire of MNE-Python and will use phantom
recordings, human data with known ground truth, and existing MEG databases to validate the new methods.
Finally, in Aim 4, we will continue to develop MNE-Python using best programming practices ensuring
multiplatform compatibility, extensive web-based documentation, training and forums, and hands-on training
workshops.

Terms: <AD dementia><ASD><Algorithms><Alzheimer Type Dementia><Alzheimer disease dementia><Alzheimer sclerosis><Alzheimer syndrome><Alzheimer's><Alzheimer's Disease><Alzheimers Dementia><Aptitude><Autism><Autistic Disorder><Basic Research><Basic Science><Brain><Brain Nervous System><Brain imaging><Brain region><Cell Communication and Signaling><Cell Signaling><Clinical><Clinical Research><Clinical Study><Code><Coding System><Cognitive deficits><Communities><Compensation><Computer software><Data><Data Analyses><Data Analysis><Data Bases><Data Set><Databases><Development><Diagnosis><Disease><Disorder><Documentation><EEG><Early Infantile Autism><Educational workshop><Electrocorticogram><Electrodes><Electroencephalogram><Electroencephalography><Electromagnetics><Electrophysiology><Electrophysiology (science)><Encephalon><Ensure><Epilepsy><Epileptic Seizures><Epileptics><Frequencies><Functional MRI><Functional Magnetic Resonance Imaging><Grant><Human><Individual><Infantile Autism><Institution><Intracellular Communication and Signaling><Investigators><Kanner's Syndrome><Knowledge><Laboratories><Language Development><MEG imaging><Machine Learning><Magnetoencephalography><Manufacturer><Maps><Measurement><Measures><Mental disorders><Mental health disorders><Methodology><Methods><Modeling><Modern Man><Modernization><Msec><NIH><National Institutes of Health><Neurologic><Neurological><Neurophysiology / Electrophysiology><Neurosciences Research><Noise><Obsessive-Compulsive Disorder><Obsessive-Compulsive Neurosis><On-Line Systems><Online Systems><Optics><Population><Position><Positioning Attribute><Primary Senile Degenerative Dementia><Process><Psychiatric Disease><Psychiatric Disorder><Pump><Pythons><Reading><Reproducibility><Research><Research Personnel><Researchers><Resolution><Sampling><Scalp><Scalp structure><Schizophrenia><Schizophrenic Disorders><Science><Seizure Disorder><Signal Transduction><Signal Transduction Systems><Signaling><Site><Software><Source><Statistical Data Analyses><Statistical Data Analysis><Statistical Data Interpretation><Stream><Structure><Surface><System><Techniques><Technology><Temperature><Testing><Training><United States National Institutes of Health><Visualization><Work><Workshop><Writing><acquiring language skills><autism spectral disorder><autism spectrum disorder><autistic spectrum disorder><base><bases><biological signal transduction><brain visualization><cognitive defects><computerized data processing><data analysis pipeline><data base><data format><data interpretation><data processing><data processing pipeline><data standardization><data standards><dementia praecox><design><designing><develop software><developing computer software><developmental><electrocorticography><electrophysiological><epilepsia><epileptogenic><fMRI><flexibility><flexible><hemodynamics><human data><improved><innovate><innovation><innovative><language acquisition><language learning><light weight><lightweight><machine based learning><magnetic field><magnetoencephalogram><magnetoencephalographic imaging><mental illness><millisecond><novel><online computer><optical><primary degenerative dementia><psychiatric illness><psychological disorder><reconstruction><resolutions><schizophrenic><senile dementia of the Alzheimer type><sensor><software development><source localization><statistical analysis><tool><verification and validation><web based>