Literature DB >> 27803994

Neuronal electrical ongoing activity as a signature of cortical areas.

Carlo Cottone1, Camillo Porcaro1,2,3, Andrea Cancelli1,4, Elzbieta Olejarczyk5, Carlo Salustri1, Franca Tecchio6.   

Abstract

Brodmann's pioneering work resulted in the classification of cortical areas based on their cytoarchitecture and topology. Here, we aim at documenting that diverse cortical areas also display different neuronal electric activities. We investigated this notion in the hand-controlling sections of the primary somatosensory (S1) and motor (M1) areas, in both hemispheres. We identified S1 and M1 in 20 healthy volunteers by applying functional source separation (FSS) to their recorded electroencephalograms (EEG). Our results show that S1 and M1 can be clearly differentiated by their neuroelectric activities in both hemispheres and independently of the subject's state (i.e., at rest or performing movements or receiving external stimulations). In particular, S1 displayed higher relative power than M1 in the alpha and low beta frequency ranges (8-25 Hz, p < .003), whereas the opposite occurred in the high gamma band (52-90 Hz, p = .006). In addition, S1's activity had a smaller Higuchi's fractal dimensions (HFD) than M1's (p < .00001) in all subjects, permitting a reliable classification of the two areas. Moreover, HFD of M1's activity resulted correlated with the hand's fine motor control, as expressed by the 9-hole peg test scores. The present work is a first step toward the identification and classification of brain cortical areas based on neuronal dynamics rather than on cytoarchitectural features. We deem this step to be an improvement of our knowledge of the brain's structural-functional unity.

Entities:  

Keywords:  Electroencephalography (EEG); Functional source separation (FSS); Higuchi’s fractal dimension (HFD); Neuroelectric dynamics; Primary motor area (M1); Primary somatosensory area (S1)

Mesh:

Year:  2016        PMID: 27803994     DOI: 10.1007/s00429-016-1328-4

Source DB:  PubMed          Journal:  Brain Struct Funct        ISSN: 1863-2653            Impact factor:   3.270


  12 in total

1.  Neuronal dynamics enable the functional differentiation of resting state networks in the human brain.

Authors:  Marco Marino; Quanying Liu; Jessica Samogin; Franca Tecchio; Carlo Cottone; Dante Mantini; Camillo Porcaro
Journal:  Hum Brain Mapp       Date:  2018-11-15       Impact factor: 5.038

2.  A New, High-Efficacy, Noninvasive Transcranial Electric Stimulation Tuned to Local Neurodynamics.

Authors:  Carlo Cottone; Andrea Cancelli; Patrizio Pasqualetti; Camillo Porcaro; Carlo Salustri; Franca Tecchio
Journal:  J Neurosci       Date:  2017-12-01       Impact factor: 6.167

Review 3.  Observational Evidence of the Association Between Handgrip Strength, Hand Dexterity, and Cognitive Performance in Community-Dwelling Older Adults: A Systematic Review.

Authors:  Kimi Estela Kobayashi-Cuya; Ryota Sakurai; Hiroyuki Suzuki; Susumu Ogawa; Toru Takebayashi; Yoshinori Fujiwara
Journal:  J Epidemiol       Date:  2018-03-10       Impact factor: 3.211

4.  Complexity Analysis of EEG Data in Persons With Depression Subjected to Transcranial Magnetic Stimulation.

Authors:  Karolina Lebiecka; Urszula Zuchowicz; Agata Wozniak-Kwasniewska; David Szekely; Elzbieta Olejarczyk; Olivier David
Journal:  Front Physiol       Date:  2018-09-28       Impact factor: 4.566

5.  EEG Phase Synchronization in Persons With Depression Subjected to Transcranial Magnetic Stimulation.

Authors:  Urszula Zuchowicz; Agata Wozniak-Kwasniewska; David Szekely; Elzbieta Olejarczyk; Olivier David
Journal:  Front Neurosci       Date:  2019-01-14       Impact factor: 4.677

6.  To Be Is To Become. Fractal Neurodynamics of the Body-Brain Control System.

Authors:  Franca Tecchio; Massimo Bertoli; Eugenia Gianni; Teresa L'Abbate; Luca Paulon; Filippo Zappasodi
Journal:  Front Physiol       Date:  2020-12-15       Impact factor: 4.566

7.  Statistical Analysis of Graph-Theoretic Indices to Study EEG-TMS Connectivity in Patients With Depression.

Authors:  Elzbieta Olejarczyk; Adam Jozwik; Vladas Valiulis; Kastytis Dapsys; Giedrius Gerulskis; Arunas Germanavicius
Journal:  Front Neuroinform       Date:  2021-04-08       Impact factor: 4.081

8.  Region-specific complexity of the intracranial EEG in the sleeping human brain.

Authors:  Elzbieta Olejarczyk; Jean Gotman; Birgit Frauscher
Journal:  Sci Rep       Date:  2022-01-10       Impact factor: 4.996

9.  Graph-based analysis of brain connectivity in schizophrenia.

Authors:  Elzbieta Olejarczyk; Wojciech Jernajczyk
Journal:  PLoS One       Date:  2017-11-30       Impact factor: 3.240

10.  Cortical neurodynamics changes mediate the efficacy of a personalized neuromodulation against multiple sclerosis fatigue.

Authors:  Camillo Porcaro; Carlo Cottone; Andrea Cancelli; Paolo M Rossini; Giancarlo Zito; Franca Tecchio
Journal:  Sci Rep       Date:  2019-12-03       Impact factor: 4.379

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