Thalamic contributions to the developing EEG
- Institution
- George Washington University, DC
- Principal investigator
- Matthew Todd Colonnese
- Funding
- $464K
- Duration
- 2019–2029
Moonbase score
Still being scored
Abstract
Project Summary/Abstract Despite over 65 years of electroencephalography (EEG) in newborn infants, our understanding of the rhythmic cortical activity patterns associated with normal development and brain injury remains largely speculative. The long term goal of the current project is to create a developmental activity atlas in which abberant EEG patterns in the at-risk newborn are matched to specific disruptions in brain areas and neuronal types. A first step towards this goal requires an un-anesthetized preclinical model with demonstrated homology to fetal and neonatal human cortical activity in which cells can be genetically manipulated and the underlying effects on cortical circuits rigorously probed. By measuring activity in vivo through the depth of cortex and corresponding thalamic networks in developing neonatal rodents, we will provide insight into the circuit changes that may underlie human fetal thalamo-cortical development to inform future studies of subcortical injury in infants and non-human primates. By manipulating the activity of thalamic neurons we will assay the distinct contributions of the thalamic relay and inhibitory neurons to the maturation of specific features of the EEG common to developing humans and rodents. Given the challenges of imaging and diagnosis in the fragile at-risk newborn, EEG has the potential to be a valuable and inexpensive bedside diagnostic tool. An improved understanding of the control of cortical activity development will inform diagnosis after neonatal brain injury and improve targeting of treatments for the cognitive and intellectual disability that often results.
LOADING MOONBASE SCORE
Questions for George Washington University
Answered by the team behind this research.
No questions yet. Sign in to ask the first one
Related grants
Same researchers, same institution, same topic, scored first.
- NIH · George Washington UniversityNot yet scored
Circuit specializations of developing visual networks
Matthew Todd Colonnese · $500K · 2013–2028
- NSF · George Washington University61
CPS: Medium: Collaborative Research: Provably Safe and Robust Multi-Agent Reinforcement Learning with Applications in Urban Air Mobility
Peng Wei · $400K · 2023–2027
- NIH · George Washington University59
The District of Columbia Clinical Trials Unit (DC CTU)
Sarah Henn · $1.5M · 2020–2027