Literature DB >> 19535579

Natural frequencies of human corticothalamic circuits.

Mario Rosanova1, Adenauer Casali, Valentina Bellina, Federico Resta, Maurizio Mariotti, Marcello Massimini.   

Abstract

The frequency tuning of a system can be directly determined by perturbing it and by observing the rate of the ensuing oscillations, the so called natural frequency. This approach is used, for example, in physics, in geology, and also when one tunes a musical instrument. In the present study, we employ transcranial magnetic stimulation (TMS) to directly perturb a set of selected corticothalamic modules (Brodmann areas 19, 7, and 6) and high-density electroencephalogram to measure their natural frequency. TMS consistently evoked dominant alpha-band oscillations (8-12 Hz) in the occipital cortex, beta-band oscillations (13-20 Hz) in the parietal cortex, and fast beta/gamma-band oscillations (21-50 Hz) in the frontal cortex. Each cortical area tended to preserve its own natural frequency also when indirectly engaged by TMS through brain connections and when stimulated at different intensities, indicating that the observed oscillations reflect local physiological mechanisms. These findings were reproducible across individuals and represent the first direct characterization of the coarse electrophysiological properties of three associative areas of the human cerebral cortex. Most importantly, they indicate that, in healthy subjects, each corticothalamic module is normally tuned to oscillate at a characteristic rate. The natural frequency can be directly measured in virtually any area of the cerebral cortex and may represent a straightforward and flexible way to probe the state of human thalamocortical circuits at the patient's bedside.

Entities:  

Mesh:

Year:  2009        PMID: 19535579      PMCID: PMC6665626          DOI: 10.1523/JNEUROSCI.0445-09.2009

Source DB:  PubMed          Journal:  J Neurosci        ISSN: 0270-6474            Impact factor:   6.167


  196 in total

Review 1.  Inhibition of the cortex using transcranial magnetic stimulation in psychiatric populations: current and future directions.

Authors:  Natasha Radhu; Lakshmi N Ravindran; Andrea J Levinson; Zafiris J Daskalakis
Journal:  J Psychiatry Neurosci       Date:  2012-11       Impact factor: 6.186

2.  Asymmetrical frontal resting-state beta oscillations predict trait aggressive tendencies and behavioral inhibition.

Authors:  Dennis Hofman; Dennis J L G Schutter
Journal:  Soc Cogn Affect Neurosci       Date:  2011-10-20       Impact factor: 3.436

3.  Reduced natural oscillatory frequency of frontal thalamocortical circuits in schizophrenia.

Authors:  Fabio Ferrarelli; Simone Sarasso; Yelena Guller; Brady A Riedner; Michael J Peterson; Michele Bellesi; Marcello Massimini; Bradley R Postle; Giulio Tononi
Journal:  Arch Gen Psychiatry       Date:  2012-08

4.  Task-dependent changes in cortical excitability and effective connectivity: a combined TMS-EEG study.

Authors:  Jeffrey S Johnson; Bornali Kundu; Adenauer G Casali; Bradley R Postle
Journal:  J Neurophysiol       Date:  2012-02-08       Impact factor: 2.714

5.  Assessing cortical network properties using TMS-EEG.

Authors:  Nigel C Rogasch; Paul B Fitzgerald
Journal:  Hum Brain Mapp       Date:  2012-02-29       Impact factor: 5.038

6.  Rippling the cortex with high-frequency (>100 Hz) alternating current stimulation.

Authors:  Hartwig R Siebner; Ulf Ziemann
Journal:  J Physiol       Date:  2010-12-15       Impact factor: 5.182

7.  Low frequency steady-state brain responses modulate large scale functional networks in a frequency-specific means.

Authors:  Yi-Feng Wang; Zhiliang Long; Qian Cui; Feng Liu; Xiu-Juan Jing; Heng Chen; Xiao-Nan Guo; Jin H Yan; Hua-Fu Chen
Journal:  Hum Brain Mapp       Date:  2015-10-29       Impact factor: 5.038

8.  Lasting modulation effects of rTMS on neural activity and connectivity as revealed by resting-state EEG.

Authors:  Lei Ding; Guofa Shou; Han Yuan; Diamond Urbano; Yoon-Hee Cha
Journal:  IEEE Trans Biomed Eng       Date:  2014-03-25       Impact factor: 4.538

9.  TMS evoked N100 reflects local GABA and glutamate balance.

Authors:  Xiaoming Du; Laura M Rowland; Ann Summerfelt; Andrea Wijtenburg; Joshua Chiappelli; Krista Wisner; Peter Kochunov; Fow-Sen Choa; L Elliot Hong
Journal:  Brain Stimul       Date:  2018-05-04       Impact factor: 8.955

Review 10.  Steady-state visual evoked potentials as a research tool in social affective neuroscience.

Authors:  Matthias J Wieser; Vladimir Miskovic; Andreas Keil
Journal:  Psychophysiology       Date:  2016-10-04       Impact factor: 4.016

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.