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Changes in EEG power spectral density and cortical connectivity in healthy and tetraplegic patients during a motor imagery task.
Open accessAbstract
Knowledge of brain connectivity is an important aspect of modern neuroscience, to understand how the brain realizes its functions. In this work, neural mass models including four groups of excitatory and inhibitory neurons are used to estimate the connectivity among three cortical regions of interests (ROIs) during a foot‐movement task. Real data were obtained via high‐resolution scalp EEGs on two populations: healthy volunteers and tetraplegic patients. A 3‐shell Boundary Element Model of the head was used to estimate the cortical current density and to derive cortical EEGs in the three ROIs. The model assumes that each ROI can generate an intrinsic rhythm in the beta range, and receives rhythms in the alpha and gamma ranges from other two regions. Connectivity strengths among the ROIs were estimated by means of an original genetic algorithm that tries to minimize several cost functions of the difference between real and model power spectral densities. Results show that the stronger connections are those from the cingulate cortex to the primary and supplementary motor areas, thus emphasizing the pivotal role played by the CMA_L during the task. Tetraplegic patients exhibit higher connectivity strength on average, with significant statistical differences in some connections. The results are commented and virtues and limitations of the proposed method discussed.
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Feature matrix input can be extracted by wavelet, entropy, STFT, power spectral density, and so on.
“Another form of input is the feature matrix that could be extracted by wavelet, entropy, STFT, power spectral density, and so on (Subasi, 2007; Filippo et al., 2009; Seitsonen et al., 2010; Lu et al., 2017; Lashgari et al., 2020).”
From Data Augmentation for Deep Neural Networks Model in EEG Classification Task: A Review (2021) · cites this paper as Filippo et al., 2009
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“Anatomical and physiological studies on nonhuman primates have demonstrated that among the distinct cingulate motor areas buried in the cingulate sulcus, those roughly located at the same rostrocaudal level as the SMAp proper (caudal CMA, dorsal, and ventral parts) are primarily implicated in movement execution itself…”
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Shibasaki, H., & Hallett, M. (2006) · Clinical Neurophysiology · doi:10.1016/j.clinph.2006.04.025 · Cited by 1,169
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Data Augmentation for Deep Neural Networks Model in EEG Classification Task: A Review
He, C., Liu, J., Zhu, Y., & Du, W. (2021) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2021.765525 · Cited by 105
“Another form of input is the feature matrix that could be extracted by wavelet, entropy, STFT, power spectral density, and so on (Subasi, 2007; Filippo et al., 2009; Seitsonen et al., 2010; Lu et al., 2017; Lashgari et al., 2020).”
Background
Metadata
- Authors
- Cona, F., Zavaglia, M., Astolfi, L., Babiloni, F., & Ursino, M.
- Affiliations
- University of Bologna (IT)
- Fondazione Santa Lucia (IT)
- Corresponding author
- Ursino, Mauro
- Venue
- Computational Intelligence and Neuroscience
- Publisher
- Wiley
- Published
- 2009-01
- Volume
- 2009
- Issue
- 1
- Pages
- 279515-279515
- ISSN
- 1687-5265 (ISSN-L)
- 1687-5273
- PMC
- PMC2703829
- OpenAlex
- W1969140390
- Cited by
- 26
- References
- 6
- Citations by year
- 2026: 1 · 2025: 1 · 2023: 1 · 2021: 2 · 2020: 2 · 2019: 1 · 2017: 2 · 2016: 3 · 2015: 2 · 2014: 5 · 2013: 1 · 2012: 2
- FWCI
- 0.81
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Locations
- Computational Intelligence and Neuroscience (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna) (submittedVersion, other-oa)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- IRIS Research product catalog (Sapienza University of Rome) (submittedVersion)
- Funders
- European Cooperation in Science and Technology (BM0601)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › EEG and Brain-Computer Interfaces
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Keywords
- cortical connectivity, EEG power spectral density, tetraplegia, motor imagery, neural mass model, genetic algorithm, boundary element model, cingulate motor area, primary motor cortex, supplementary motor area, beta oscillations
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