Broadband shifts in LFP power spectra are correlated with single-neuron spiking in humans

By Jeremy R. Manning, Joshua Jacobs, Itzhak Fried, Michael J. Kahana. Journal of Neuroscience, 2009

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A fundamental question in neuroscience concerns the relation between the spiking of individual neurons and the aggregate electrical activity of neuronal ensembles as seen in local field potentials (LFPs). Because LFPs reflect both spiking activity and subthreshold events, this question is not simply one of data aggregation. Recording from 20 neurosurgical patients, we directly examined the relation between LFPs and neuronal spiking. Examining 2030 neurons in widespread brain regions, we found that firing rates were positively correlated with broadband (2–150 Hz) shifts in the LFP power spectrum. In contrast, narrowband oscillations correlated both positively and negatively with firing rates at different recording sites. Broadband power shifts were a more reliable predictor of neuronal spiking than narrowband power shifts. These findings suggest that broadband LFP power provides valuable information concerning neuronal activity beyond that contained in narrowband oscillations.

Subfields: Cellular and Molecular Neuroscience, Cognitive Neuroscience

View Paper: https://www.semanticscholar.org/paper/e3a176da4a997a8909de331320474ff1fc15ca0d

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Citations in the corpus

Age-Related Changes in 1/f Neural Electrophysiological Noise (2015, background): “Although we focus on the potential detriments of 1/f noise, in certain cases noise plays an important role in the CNS and may actually improve signal detection in some situations with weak stimuli via stochastic resonance (Li et al., 2006b; McDonnell and Abbott, 2009).”
Emergent complex neural dynamics (2010, background): “[25] Manning JR, Jacobs J, Fried I, Kahana MJ.”
The spectral exponent of the resting EEG indexes the presence of consciousness during unresponsiveness induced by propofol, xenon, and ketamine (2019, neutral): “…local field potentials (Milstein et al., 2009; Buzs aki and Mizuseki, 2014), in electrocorticography (ECoG) (He et al., 2010; Miller et al., 2009; Manning et al., 2009; Freeman and Zhai, 2009), in magnetoencephalography (MEG) (Novikov et al., 1997; Dehghani et al., 2010), and fMRI (He, 2011;…”
Power-Law Scaling in the Brain Surface Electric Potential (2009, positive): “Even more recently, broadband LFP changes were demonstrated to correlate more highly with mean firing rate than any particular frequency band in single unit recordings from human cortex [63].”
Parameterizing neural power spectra into periodic and aperiodic components (2020, methodology): “The aperiodic offset, for example, is correlated with both neuronal population spiking 13,14 and the blood-oxygen-level-dependent signal from functional MRI 15 .”
Complex oscillatory waves emerging from cortical organoids model early human brain network development (2019, background): “In the LFP and other mesoscopic brain signals, this manifests as a phenomenon known as cross-frequency phase-amplitude coupling (PAC) (Voytek and Knight, 2015), wherein the high-frequency content of the LFP is entrained to the phase of slow oscillations (Manning et al., 2009; Miller et al., 2007; Mu”
Oscillations and the basal ganglia: Motor control and beyond (2013, neutral): “, 2005), however the extent to which this relationship holds when moving to macroscales remains unclear (Manning et al., 2009; Ray and Maunsell, 2010; Truccolo et al., 2011; Wyler et al., 1982).”
The temporal structures and functional significance of scale-free brain activity (2010, positive): “(2009a) and other previous studies showing broadband power increase (e.g., Belitski et al., 2008; Henrie and Shapley, 2005; Manning et al., 2009; Siegel and König, 2003; Young et al., 1992).”
Spatiotemporal dynamics of the brain at rest - Exploring EEG microstates as electrophysiological signatures of BOLD resting state networks (2012, background): “, 2007) and intracranial recordings obtained from humans (Manning et al., 2009) or experimental animals (Leopold et al.”
Inferring Synaptic Excitation/Inhibition Balance from Field Potentials (2016, positive): “Evidence that spiking can be partially extracted from the broadband (2–250 Hz) or high gamma (>80 Hz) spectral power of meso-/macroscale neural recordings (LFP, ECoG) provided an important link between local neuronal activity and the LFP, opening numerous avenues of research (Manning et al., 2009; M”
Rotating waves during human sleep spindles organize global patterns of activity that repeat precisely through the night (2016, background): “DOI: 10.7554/eLife.17267 6 of 16 activity (Ray et al., 2008; Ray and Maunsell, 2011; Ray, 2015; similar in nature to the ’broadband power shift’ described in Manning et al., 2009), consistently increases around spindles (Figure 4A).”
Neurophysiological and Computational Principles of Cortical Rhythms in Cognition (2010, background): “A recent monkey physiological study found that a linear filter operation on the activity of a few neurons can account for a significant fraction of the LFP time course (792), and a study combining LFP and single-unit recording from epileptic human subjects found that broad-band (2–150 Hz) LFP power ”