Revealing thalamocortical interactions in humans with integrated MEG/EEG, human intracranial recordings and computational neural modeling – THALAMEEG
Revealing thalamocortical interactions in humans with integrated MEG/EEG, human intracranial recordings and computationa neural modeling
Advancing methods to image and interpret neural activity in humans on fine temporal-spatial scales is critical to neuroscience. Magneto-/Electroencephalography (M/EEG) combined with structural MRI as well as invasive electrophysiology recordings provide unique abilities to characterize thalamocortical activity with millisecond precision.<br /><br />This project is piloted by Brown University, the Massachusetts General Hospital (MGH) in the USA and Télécom ParisTech in France.
Aim is to better understand and caracterize electrophysiology signals in the human sensorimotor cortex
Recordings from subcortical structures, such as thalamus, have been limited due to low signal amplitudes and inherent difficulty in source localization. Further, our understanding of the generation of the macroscopic electrical currents producing these signals from cellular events is lacking.
We integrate M/EEG, computational modeling, and invasive electrophysiological recordings in humans to optimize M/EEG inverse solvers to localize distributed thalamocortical (TC) sources and to interpret the underlying cellular events.
So far we have made progress on both the source localization problem using
sparse spatio-temporal solvers as well as computational models, especially
in the context of the sensorimotor system. We also write the MNE open software which has an international impact.
We have unique access to state-of-the-art technologies for electrophysiological
signal processing and make all these tools available to the community. Future plans are the processing of more clinical data and extensive validation studies.
Papers in PNAS, NeuroImage, NIPS Machine learning Conference, EUSIPCO Conference etc.
Advancing methods to image and interpret neural activity in humans on fine temporal-spatial scales is critical to understanding how the brain works in health and disease. Magneto-/Electroencephalography (M/EEG) combined with structural MRI provides reliable recordings of cortical activity with millisecond precision. Recordings from subcortical structures, such as thalamus, have been limited due to low signal amplitudes and inherent difficulty in source localization. Further, our understanding of the generation of the macroscopic electrical currents producing these signals from cellular events is lacking. We will integrate M/EEG, computational modeling, and invasive electrophysiological recordings in human patients to optimize M/EEG inverse solvers to localize distributed thalamocortical (TC) sources and to interpret the underlying cellular events. To optimize our methods we will employ two paradigms known to robustly activate distinct thalamic and cortical sources in the sensorimotor system, including thalamus, SI, MI, SII: (1) median nerve (MN) evoked responses, & (2) motor evoked tremor activity in Essential Tremor (ET) patients. Our M/EEG inverse methods will take advantage of the fact low frequency (LF <100Hz) and high frequency (HF 100-800hz) evoked responses are disjoint in space and time and will combine this characteristic with precise anatomical head modeling constraints to localize concurrent cortical and thalamic activities. To interpret the cellular level events underlying the signals, we will expand a previously developed neural model of TC circuitry that accurately simulates LF SI tactile evoked source waveforms up to 125ms post-stimulus based on sequences of synaptic drive from thalamus and cortex. This model will be expanded to interpret the origin of observed LF and HF activity in the distributed TC network. Results will be validated and informed with invasive electrophysiological recording in ET patients undergoing deep brain stimulation (DBS) surgery.
AIM 1: ADVANCE M/EEG TIME-FREQUENCY BASED INVERSE SOLVERS TO LOCALIZE TC EVOKED LF & HF ACTIVITY.
AIM 2: INTERPRET CELLULAR LEVEL ORIGIN OF LF & HF SOURCE ACTIVITY WITH NEURAL MODELING.
AIM 3; VALIDATE INVERSE METHODS AND MODEL PREDICTIONS WITH INVASIVE TC RECORDINGS.
Our integrated approach will provide novel insight into distributed TC activity that is not possible with one method alone. We will develop free open source softwares that advance the ability to non-invasively (1) study TC interactions in humans with M/EEG & (2) interpret the cellular level origin of the activity. While our investigation is focused on the sensorimotor system, our methods will be broadly applicable to study activity in other brain networks, including deep structures like basal ganglia, and in many experimental paradigms. We will initiate a High School Neuroscience Outreach Program to educate Boston area HighSchool students on human imaging and mathematical modeling in neuroscience. We will target local districts experiencing large budget cuts with elimination in extra-curricular enrichment. Our program will add a complimentary component to the math and biology curriculums.
Monsieur Alexandre Gramfort (Institut Mines-Telecom)
The author of this summary is the project coordinator, who is responsible for the content of this summary. The ANR declines any responsibility as for its contents.
LTCI Télécom ParisTech Institut Mines-Telecom
Brown University Brown University
Massachusetts General Hospital Massachusetts General Hospital
Help of the ANR 149,740 euros
Beginning and duration of the scientific project: September 2014 - 60 Months