Sniffing-related motor cortical potential: Topography and possible generators

Jeran, Judita; Koritnik, Blaž; Zidar, Ignac; Belič, Aleš; Zidar, Janez

doi:10.1016/j.resp.2012.10.006

Cited by 5 publications

(2 citation statements)

References 41 publications

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“…Our Ad-Hoc approaches depend on identifying a characteristic dipole signature (radially or tangentially directed) in the EEG, and we verify performance only for a single dipole case. However, the characterization of EEG assuming a dipole EEG topography is ubiquitous (though with methodological considerations; [111][112][113][114]) leveraging conventional signal processing such as averaging (repeated evoked response), filtering, ICA, etc [110,[115][116][117]; mapping EEG to tES parameters based on dipoles, when they are identified in the EEG, is a rational first approximation [111][112][113][114]. The robustness of the technique across brain regions remains to be verified, but bipolar and concentric ring stimulation montages are robust across underlying anatomy [45,118].…”

Section: Discussionmentioning

confidence: 99%

A simple method for EEG guided transcranial electrical stimulation without models

Cancelli

Cottone²,

Tecchio³

et al. 2016

J. Neural Eng.

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Section: Discussionmentioning

confidence: 99%

A simple method for EEG guided transcranial electrical stimulation without models

Cancelli

Cottone²,

Tecchio³

et al. 2016

J. Neural Eng.

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“…For comparison with previous studies (see above), we determined time‐locked changes in EEG signals, that is, pre‐inspiratory potentials, but also motor potentials that typically follow pre‐inspiratory potentials. As breathing can be associated with head movements that may contaminate EEG (see Jeran et al, 2013) we assessed time‐locked changes in head movement in resting and loaded breathing.…”

Section: Introductionmentioning

confidence: 99%

Combined head accelerometry and EEG improves the detection of respiratory‐related cortical activity during inspiratory loading in healthy participants

Hudson

Wattiez

Navarro-Sune

et al. 2022

Physiological Reports

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Mechanical ventilation is a highly utilized life-saving tool, particularly in the current era. The use of EEG in a brain-ventilator interface (BVI) to detect respiratory discomfort (due to sub-optimal ventilator settings) would improve treatment in mechanically ventilated patients. This concept has been realized via development of an EEG covariance-based classifier that detects respiratory-related cortical activity associated with respiratory discomfort. The aim of this study was to determine if head movement, detected by an accelerometer, can detect and/or improve the detection of respiratory-related cortical activity compared to EEG alone. In 25 healthy participants, EEG and acceleration of the head were recorded during loaded and quiet breathing in the seated and lying postures. Detection of respiratory-related cortical activity using an EEG covariance-based classifier was improved by inclusion of data from an Accelerometer-based classifier, i.e. classifier 'Fusion'. In addition, 'smoothed' data over 50s, rather than one 5 s window of EEG/Accelerometer signals, improved detection. Waveform averages of EEG and head acceleration showed the incidence of pre-inspiratory potentials did not differ between loaded and quiet breathing, but head movement was greater in loaded breathing. This study confirms that compared to event-related analysis with >5 min of signal acquisition, an EEG-based classifier is a clinically valuable tool with rapid processing, detection times, and accuracy. Data smoothing would introduce a small delay (<1 min) but improves detection results. As head acceleration improved detection compared to EEG alone, the number of EEG signals required to detect respiratory discomfort with future BVIs could be reduced if head acceleration is included.

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Inspiratory pre‐motor potentials during quiet breathing in ageing and chronic obstructive pulmonary disease

Nguyen

Boswell‐Ruys

McBain

et al. 2018

The Journal of Physiology

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A cortical contribution to breathing is determined by the presence of a Bereitschaftspotential, a low amplitude negativity in the averaged electroencephalographic (EEG) signal, which begins ∼1 s before inspiration. It occurs in healthy individuals when external inspiratory loads to breathing are applied. In chronic obstructive pulmonary disease (COPD), changes in the lung, chest wall and respiratory muscles produce an internal inspiratory load. We hypothesized that there would be a cortical contribution to quiet breathing in COPD and that a cortical contribution to breathing with an inspiratory load would be linked to dyspnoea, a major symptom of COPD. EEG activity was analysed in 14 participants with COPD (aged 57-84 years), 16 healthy age-matched (57-87 years) and 15 young (18-26 years) controls during quiet breathing and inspiratory loading. The presence of Bereitschaftspotentials, from ensemble averages of EEG epochs at Cz and FCz, were assessed by blinded assessors. Dyspnoea was rated using the Borg scale. The incidence of a cortical contribution to quiet breathing was significantly greater in participants with COPD (6/14) compared to the young (0/15) (P = 0.004) but not the age-matched controls (6/16) (P = 0.765). A cortical contribution to inspiratory loading was associated with higher Borg ratings (P = 0.007), with no effect of group (P = 0.242). The data show that increased age, rather than COPD, is associated with a cortical contribution to quiet breathing. A cortical contribution to inspiratory loading is associated with more severe dyspnoea. We propose that cortical mechanisms may be engaged to defend ventilation with dyspnoea as a consequence.

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Sniffing-related motor cortical potential: Topography and possible generators

Cited by 5 publications

References 41 publications

A simple method for EEG guided transcranial electrical stimulation without models

A simple method for EEG guided transcranial electrical stimulation without models

Combined head accelerometry and EEG improves the detection of respiratory‐related cortical activity during inspiratory loading in healthy participants

Inspiratory pre‐motor potentials during quiet breathing in ageing and chronic obstructive pulmonary disease

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