Natural logarithmic relationship between brain oscillators
By Markku Penttonen, György Buzsáki. 2003
339 citations recorded by the source corpus.
Subfields: Cellular and Molecular Neuroscience, Cognitive Neuroscience
View Paper: https://www.semanticscholar.org/paper/627f9e39919c0bca89c7ec42755d8d92759d8d37
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
- Xiao-Jing Wang
- György Buzsáki
- Yufeng Zang
- F. X. Castellanos
- Yong He
- Xi-Nian Zuo
- Darrell A. Henze
- Chaogan Yan
In Cognitive Neuroscience
- Xi-Nian Zuo
- Michael P. Milham
- F. X. Castellanos
- Yufeng Zang
- Chaogan Yan
- Yong He
- Bharat B. Biswal
- Xiao-Jing Wang
Citations in the corpus
- Interneuron Diversity series: Circuit complexity and axon wiring economy of cortical interneurons. (2004, background): “However, cortical networks support multiple, coupled oscillations at various temporal scales [ 22 ] and numerous other functions [2], which require more interneuron types and economic wiring.”
- Rhythms of the brain (2006, background): “(1992), Penttonen and Buzsáki (2003), and Buzsáki and Draguhn (2004).”
- Toward reliable characterization of functional homogeneity in the human brain: Preprocessing, scan duration, imaging resolution and computational space (2012, methodology): “…(MC+ WM/CSF) and repeated the analyses to assess the test–retest reliability of ReHo across six different frequency bands (Buzsaki and Draguhn, 2004; Penttonen and Buzsaki, 2003): slow6 (0.004–0.01 Hz), slow5 (0.01–0.027 Hz), slow4 (0.027–0,073 Hz), slow3 (0.073–0.198 Hz), slow2 (0.198–0.538 Hz)…”
- DPARSF: A MATLAB Toolbox for “Pipeline” Data Analysis of Resting-State fMRI (2010, background): “…frequency bands are considered to be generated by distinct oscillators, each with specifi c properties and physiological functions, as the neuronal oscillation classes are arrayed linearly when plotted on the natural logarithmic scale (Penttonen and Buzsáki, 2003; Buzsáki and Draguhn, 2004).”
- Default-mode brain dysfunction in mental disorders: a systematic review. (2009, background): “…are likely associated with connectivity of larger scale neuronal networks, while higher frequencies are constrained in smaller networks, and may be modulated by activity in the slower oscillating larger networks (Buzsáki and Draguhn, 2004; Fox and Raichle, 2007; Penttonen and Buzsáki, 2003).”
- The Oscillating Brain: Complex and Reliable (2009, background): “For example, Buzsáki and colleagues noted that neuronal oscillation classes are arrayed linearly when plotted on the natural logarithmic scale (Buzsáki and Draguhn, 2004; Penttonen, 2003).”
- Functional Magnetic Resonance Imaging Phase Synchronization as a Measure of Dynamic Functional Connectivity (2012, positive): “Recently Zuo et al. (2010) explored the BOLD signal at sub-bands relevant in electrophysiological DC and intra-cranial recordings (Penttonen and Buzsa´ki, 2003): slow-5 (0.01–0.027Hz ), slow-4 (0.027–0.073Hz ), slow-3 (0.073– 0.198Hz ), and slow-2 (0.198–0.25Hz).”
- Frequency-specific maturation of cortical organization and social-cognitive links from childhood to adolescence (2025, unknown): “Ongoing BOLD signals indeed fluctuate across these bands, each potentially indexing distinct neurophysiological processes and functional properties (Gong & Zuo, 2024; Penttonen & Buzsáki, 2003; Ries et al., 2018; Zuo et al., 2010).”