Frequency of gamma oscillations routes flow of information in the hippocampus
By Laura L. Colgin, Tobias Denninger, Marianne Fyhn, Torkel Hafting, Tora Bonnevie, Ole Jensen, May-Britt Moser, Edvard I. Moser. Nature, 2009
1,408 citations recorded by the source corpus.
Subfields: Cellular and Molecular Neuroscience, Cognitive Neuroscience
View Paper: https://www.semanticscholar.org/paper/659e73c80b9f40f7c9d9769f362b9f8d449a3233
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
- György Buzsáki
- Xiao-Jing Wang
- Martin A. Vinck
- Ole Jensen
- John E. Lisman
- James J. Knierim
- Justin Riddle
- Howard Eichenbaum
In Cognitive Neuroscience
- György Buzsáki
- Xiao-Jing Wang
- Martin A. Vinck
- Ole Jensen
- John E. Lisman
- Justin Riddle
- James J. Knierim
- Howard Eichenbaum
Citations in the corpus
- Shaping Functional Architecture by Oscillatory Alpha Activity: Gating by Inhibition (2010, background): “For instance, it was found that the gamma activity in CA1 is coupled to the phase of the theta activity in the entorhinal cortex (Colgin et al., 2009).”
- Gamma-band synchronization in the neocortex: novel analysis methods and their application to sensory and motivational systems (2013, background): “It was also successfully applied to experimental, multi-area data (barrel, visual, perirhinal cortex and CA1 of hippocampus) in order to investigate local rhythmicity and inter-areal rhythmicity (see Chapter 6).”
- Mechanisms of Gamma Oscillations (2012, background): “…1993; Bragin et al. 1995; Chrobak & Buzsáki 1998; Wang 2002; Mormann et al. 2005; Canolty et al. 2006; Demiralp et al. 2007; Tort et al. 2008, 2010; Colgin et al. 2009; Griesmayr et al. 2010), alpha (Palva et al. 2005, Cohen et al. 2009), spindle (Peyrache et al. 2011), delta (Lakatos et al.…”
- Gamma frequency entrainment attenuates amyloid load and modifies microglia (2016, positive): “…but no major plaque accumulation in the hippocampus or manifestation of learning and memory deficits 10 , we recorded neural activity from hippocampal subregion CA1, where gamma has been particularly well characterized (see, for example, refs 11–14), using a virtual environment (Extended Data Fig.”
- Attentional Stimulus Selection through Selective Synchronization between Monkey Visual Areas (2012, neutral): “…studies of area V4 (Lee et al., 2005; Fries et al., 2008; Bosman et al., 2009) and the theta phase has been found in many different brain areas to modulate the strength of local gamma-band activity (Bragin et al., 1995; Canolty et al., 2006; Bosman et al., 2009; Colgin et al., 2009; Fries, 2009).”
- Alpha-beta and gamma rhythms subserve feedback and feedforward influences among human visual cortical areas (2016, neutral): “For example, feedforward communication from medial entorhinal cortex to hippocampal area CA1 uses higher gamma, whereas feedback communication from CA3 to CA1 uses lower gamma (Colgin et al., 2009; Schomburg et al., 2014).”
- Hippocampal sharp wave‐ripple: A cognitive biomarker for episodic memory and planning (2015, background): “These “gammas” not only occupy largely different frequency bands but are also segregated by the phase of hippocampal theta waves (Colgin et al., 2009; Belluscio et al., 2012; Schomburg et al., 2014) and possibly use different mechanisms (Csicsvari et al.”
- Neural syntax: cell assemblies, synapsembles and readers (2010, neutral): “Interpreting mesoscopic signals will require further exploration since the frequency of LFP gamma transients and their coupling across layers and cortical ‘‘modules’’ vary as a function of behavior (Colgin et al., 2009; Montgomery and Buzsáki, 2007; Sirota et al., 2008).”
- The Theta-Gamma Neural Code (2013, positive): “Because the analysis averages over different functional modes (Colgin et al., 2009; de Almeida et al., 2012; Gupta et al., 2012; Senior et al., 2008) and gamma generators (Belluscio et al.”
- Measuring phase-amplitude coupling between neuronal oscillations of different frequencies. (2010, positive): “More recently, Colgin et al. (2009) used a phase-amplitude CFC tool based on the coherence spectrum between A f A and the original signal x raw (t).”
- Decoding the tradeoff between encoding and retrieval to predict memory for overlapping events (2018, neutral): “idea that encoding/retrieval tradeoffs are reflected in electrophysiological measures (Hasselmo et al., 2002; Rizzuto et al., 2006; Griffin et al., 2007; Manns et al., 2007; Colgin et al., 2009; Hasselmo and Stern, 2014).”