Measuring the neurodevelopmental trajectory of excitatory-inhibitory balance via visual gamma oscillations

Disruption of the balance between excitatory and inhibitory neurotransmission (E-I balance) is thought to underlie many neurodevelopmental disorders; however, its study is typically restricted to adults, animal models, and the lab-bench. Neurophysiological oscillations in the gamma frequency band relate closely to E-I balance, and a new technology-OPM-MEG-offers the possibility to measure such signals across the lifespan. We used OPM-MEG to measure gamma oscillations induced by visual stimulation in 101 participants, aged 2-34 years. We demonstrate a significantly changing spectrum with age, with low-amplitude broadband gamma oscillations in children and high-amplitude band limited oscillations in adults. We used a canonical cortical microcircuit to model these signals, revealing a significant decrease in the ratio of excitatory to inhibitory signalling with age in the superficial pyramidal neurons of the visual cortex. Our findings detail the first MEG metrics of gamma oscillations and their underlying generators from toddlerhood, providing a benchmark against which future studies can contextualise.

Authors

Institutions

Publication Details

Journal
Imaging Neuroscience
Published
2025-01-01
DOI
https://doi.org/10.1162/imag_a_00527
Citations
6
Primary Topic
Neural dynamics and brain function
Type
article
Field-Weighted Citation Impact
8.59

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Measuring the neurodevelopmental trajectory of excitatory-inhibitory balance via visual gamma oscillations

Elena Boto, Molly Rea, Ryan M. Hill, Margot J. Taylor et al.
6 citations
Imaging Neuroscience
Neural dynamics and brain function
8.59
article

Measuring the neurodevelopmental trajectory of excitatory-inhibitory balance via visual gamma oscillations

Elena Boto, Molly Rea, Ryan M. Hill, Margot J. Taylor, Niall Holmes, Marlee M. Vandewouw, Natalie Rhodes, Krish D. Singh, Lukas Rier, Julie Sato, Matthew J. Brookes
article en
6 citations

Abstract

Disruption of the balance between excitatory and inhibitory neurotransmission (E-I balance) is thought to underlie many neurodevelopmental disorders; however, its study is typically restricted to adults, animal models, and the lab-bench. Neurophysiological oscillations in the gamma frequency band relate closely to E-I balance, and a new technology-OPM-MEG-offers the possibility to measure such signals across the lifespan. We used OPM-MEG to measure gamma oscillations induced by visual stimulation in 101 participants, aged 2-34 years. We demonstrate a significantly changing spectrum with age, with low-amplitude broadband gamma oscillations in children and high-amplitude band limited oscillations in adults. We used a canonical cortical microcircuit to model these signals, revealing a significant decrease in the ratio of excitatory to inhibitory signalling with age in the superficial pyramidal neurons of the visual cortex. Our findings detail the first MEG metrics of gamma oscillations and their underlying generators from toddlerhood, providing a benchmark against which future studies can contextualise.

Imaging NeuroscienceVol. 3
University of Nottingham (GB), University of Toronto (CA), Hospital for Sick Children (CA), Holland Bloorview Kids Rehabilitation Hospital (CA), Mental Health Research Canada (CA), Dantec Dynamics (United Kingdom) (GB), Micro Magnetics (United States) (US), SickKids Foundation (CA), Cardiff University (GB)
Canadian Institutes of Health Research, Engineering and Physical Sciences Research Council
Openalex Percentile: Top 2%
Neural dynamics and brain function
8.59
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.