Hemodynamic Signals Correlate Tightly with Synchronized Gamma Oscillations

By Jörn Niessing, B. Ebisch, K. Schmidt, M. Niessing, Wolf Singer, R. Galuske. Science, 2005

851 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/eb470802388024b39f7329225c7436a213036034

How researchers see this paper

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

In Cognitive Neuroscience

Citations in the corpus

Encoding of Naturalistic Stimuli by Local Field Potential Spectra in Networks of Excitatory and Inhibitory Neurons (2008, background): “Characterizing how LFPs encode information is also important to understand how neural signals can optimally communicate with brain-machine interfaces [48], and to better interpret the blood oxygenation level-dependent response, which correlates with several LFP bands [22,49,50].”
Behavioral shifts and action valuation in the anterior cingulate cortex. (2008, neutral): “Behavioral Shift and Action Valuation (Edwards et al., 2005; Mainy et al., 2006; Niessing et al., 2005).”
Shaping Functional Architecture by Oscillatory Alpha Activity: Gating by Inhibition (2010, background): “…BOLD signal correlates negatively with alpha activity (Goldman et al., 2002; Laufs et al., 2003; Feige et al., 2005; Scheeringa et al., 2009) whereas other studies have demonstrated a positive correlation between the BOLD signal and gamma activity (Logothetis et al., 2001; Niessing et al., 2005).”
Low-Frequency Local Field Potentials and Spikes in Primary Visual Cortex Convey Independent Visual Information (2008, background): “…(Donoghue et al., 1998; Andersen et al., 2004), and to better interpret the blood oxygenation level-dependent response, which, under many conditions, correlates with dif- ferent aspects of both spikes and LFPs (Logothetis et al., 2001; Kayser et al., 2004; Niessing et al., 2005; Nir et al., 2007).”
The neural systems that mediate human perceptual decision making (2008, background): “Because the fMRI signal and the gamma-band activity correlate closel”
Coupling between neuronal firing rate, gamma LFP, and BOLD fMRI is related to interneuronal correlations. (2007, background): “, [11]), at least some contribution to this low coupling may have been due to uncorrelated activity among individual neurons.”
Neural correlates of high-gamma oscillations (60–200 Hz) in macaque local field potentials and their potential implications in electrocorticography (2008, background): “high-gamma could be attributable to an increase in spike synchronization within the neural population, an increase in lowgamma power could be attributable to an increase in synchronization in synaptic inputs, because synaptic activity is correlated with the low-gamma frequency range (Niessing et al.”
Computational models of schizophrenia and dopamine modulation in the prefrontal cortex (2008, background): “This is because lFps reflect the temporal properties, including the synchrony, of synaptic activity across dendrites 96 , and because spike synchrony and synaptically generated lFps are closely related 90,97 . by extension, because lFps give rise to electromagnetic fields 98 , trial-by-trial…”
Trial-by-trial coupling between EEG and BOLD identifies networks related to alpha and theta EEG power increases during working memory maintenance (2009, methodology): “In anaesthetized cats Niessing et al. (2005) recorded local field potentials while blood oxygenation was simultaneously measured with optical imaging.”