Broadband changes in the cortical surface potential track activation of functionally diverse neuronal populations

By Kai J. Miller, Christopher J. Honey, D. Hermes, Rajesh P. N. Rao, M. Nijs, Jeffrey G. Ojemann. 2013

Subfields: Cellular and Molecular Neuroscience, Cognitive Neuroscience

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Cellular and Molecular Neuroscience

1. Q. Yin
2. E. Johnson
3. N. Ofen

In Cognitive Neuroscience

1. D. Melcher
2. Q. Yin
3. E. Johnson
4. N. Ofen
5. Luca Ronconi

Citations in the corpus

• Neural representations of visual memory in inferotemporal cortex reveal a generalizable framework for translating between spikes and field potentials (2026, unknown): “HGA has been widely adopted as a proxy for spiking activity in human intracranial work [16–19].”
• The neural activity of auditory conscious perception (2025, unknown): “…passed initial artifact rejection underwent spectral analysis to extract timeseries of broadband gamma power (defined here as 40–115 Hz)—a frequency band that has been shown to reflect local neural activity (Manning et al., 2009; Miller et al., 2013; Mukamel et al., 2005; Ray and Maunsell, 2011).”
• Age and gender-related neurophysiological changes in sleep and wake states during childhood (2026, unknown): “Critically, the aperiodic component was found to directly relate to global levels of neuronal activity (offset of the component) (Miller et al., 2014) and to synaptic and network properties, in particular excitation/inhibition balance across neuronal circuits (slope of the component) (Brake et al.,…”
• Exploring Background Aperiodic Electroencephalography (EEG) Activity in the Bucharest Early Intervention Project (2024, unknown): “The offset is defined as “the uniform shift in power across frequencies” (Donoghue, Haller, et al., 2020) and is thought to reflect average rates of neuronal population spiking (Manning et al., 2009; K. J. Miller et al., 2014).”
• Model selection for spectral parameterization (2024, unknown): “…that α reflects the physiological balance between excitatory (E) and inhibitory (I) neural activity (Brake et al., 2024; Chini et al., 2022; Gao et al., 2017; Wiest et al., 2023), and the offset is related to aggregate neuronal population spiking (Miller et al., 2014; Voytek & Knight, 2015).”
• Neurophysiological mechanisms of cognition in the developing brain: Insights from intracranial EEG studies (2023, background): “Studies have linked the offset to neuronal firing rate and cortical activation, with higher offset associated with increased neuronal firing rate and cortical activation (Manning et al., 2009; Miller et al., 2014).”
• Periodic and Aperiodic EEG Features as Potential Markers of Developmental Dyslexia (2023, background): “Furthermore, broadband changes in the ECoG power spectrum were shown to dynamically mark local neural activity across different visual, linguistic, and motor tasks [64], underlining its potential relevance in relation to cognitive processes.”