Auditory white noise exposure results in intrinsic cortical excitability changes

Schuler, Anna-Lisa; Brkić, Diandra; Ferrazzi, Giulio; Arcara, Giorgio; Marinazzo, Daniele; Pellegrino, Giovanni

doi:10.1016/j.isci.2023.107387

Cited by 4 publications

(4 citation statements)

References 55 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…When exploring the effects of noise masking on TEPs from previously published studies, we found an overall lower evoked cortical activation, as reflected by the ‘activation index’, in those studies using active noise masking (e.g., white noise delivered through earplugs) compared to studies that had used passive (e.g., earplugs) and no noise masking. This finding is interesting in the light of recent studies showing that white noise may change cortical excitability [23,24].…”

Section: Discussionmentioning

confidence: 55%

Methodological choices matter: A systematic comparison of TMS-EEG studies targeting the primary motor cortex

Beck,

Heyl,

Mejer

et al. 2024

Preprint

View full text Add to dashboard Cite

Background: Transcranial magnetic stimulation (TMS) triggers time-locked cortical activity that can be recorded with electroencephalography (EEG). Transcranial evoked potentials (TEPs) are widely used to probe brain responses to TMS. Methods: Here, we systematically reviewed 137 published experiments that studied TEPs elicited from TMS to the human primary motor cortex (M1) in healthy individuals to investigate the impact of methodological choices. We scrutinized prevalent methodological choices and assessed how consistently they were reported in published papers. We extracted amplitudes and latencies from reported TEPs and compared total cortical activation and specific TEP peaks and components. Results: Reporting of methodological details was overall sufficient, but some relevant information regarding the TMS settings and the recording and pre-processing of EEG data were missing in more than 25% of the included experiments. The published TEP latencies and amplitudes confirm the "prototypical" TEP waveform of M1, comprising distinct N15, P30, N45, P60, N100, and P180 peaks. However, variations in amplitude and latencies were evident across studies. Higher stimulation intensities were associated with overall larger TEP amplitudes. Active noise masking during TMS generally resulted in lower TEP amplitudes compared to no or passive masking but did not specifically impact those TEP peaks linked to long-latency sensory processing. Studies implementing independent component analysis (ICA) for artifact removal generally reported lower TEP amplitudes. Conclusion: Some aspects of reporting practices could be improved in TEP studies to enable replication. Methodological choices, including TMS intensity and the use of noise masking or ICA, introduce systematic differences in reported TEP amplitudes. Further investigation into the significance of these and other methodological factors and their interactions is warranted.

show abstract

Section: Discussionmentioning

confidence: 55%

Methodological choices matter: A systematic comparison of TMS-EEG studies targeting the primary motor cortex

Beck,

Heyl,

Mejer

et al. 2024

Preprint

View full text Add to dashboard Cite

show abstract

“…Previously, the phase synchrony has therefore been mostly treated as a global property, reflecting global excitability (Meisel et al 2016; 2015; Manzouri et al 2021). We mapped excitability changes due to auditory stimulation by applying the Exc_ind on spatially resolved time-series extracted from cortical reconstruction of 275 sensors MEG data and considering, in the same way as in this study, the Desikan-Killiani atlas (Schuler et al 2023). The present work suggests that the Exc_ind has at least Desikan-Killiany spatial resolution, but further studies are needed to determine if a higher resolution could be achieved.…”

Section: Discussionmentioning

confidence: 99%

“…This E/I estimate roughly corresponds to the well-known phase locking value (PLV), broadly exploited in neuroscience and neurology (Pellegrino, Arcara, Di Pino, et al 2019;Pellegrino et al 2022;Pellegrino, Mecarelli, et al 2018;Pinardi et al 2023;Bruña, Maestú, and Pereda 2018), computed across space rather than time. We selected the high gamma band (55-95Hz), as recommended in previous studies (Schuler et al 2023); b) Exponent of the aperiodic component of the Power Spectrum. This estimate has been introduced recently by Voytek and collaborators (Gao, Peterson, and Voytek 2017;Donoghue et al 2020).…”

Section: E/i Estimatesmentioning

confidence: 99%

“…Currently, modeling of electromagnetic (EEG or MEG) and hemodynamic (fMRI or fNIRS) brain signals are considered reliable approaches for the estimation of E/I (Ahmad et al 2022; Trakoshis et al 2020; Zou et al 2008; Zhang et al 2010; Cai et al 2022). For example, in the field of EEG and magnetoencephalography (MEG), E/I may be estimated using EEG phase synchronization (Meisel et al 2015; 2016; Schuler et al 2023), aperiodic component of the power spectrum (Gao, Peterson, and Voytek 2017; Donoghue et al 2020), and entropy (Liang et al 2015; Wei et al 2013); in the field of fMRI/fNIRS, E/I can be estimated from the amplitude, regularity, predictability and regional homogeneity of the hemodynamic activity (Zou et al 2008; Zang et al 2004; Trakoshis et al 2020; Cai et al 2022).…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Assessing cortical excitability with electroencephalography: a pilot study with EEG-iTBS

Pellegrino,

Schuler,

Cai

et al. 2023

Preprint

Self Cite

View full text Add to dashboard Cite

Cortical excitability measures neural reactivity to stimuli, usually delivered via Transcranial Magnetic Stimulation (TMS). Excitation/inhibition balance (E/I) is the ongoing equilibrium between excitatory and inhibitory activity of neural circuits. According to some studies, E/I could be estimated in-vivo and non-invasively through the modeling of electroencephalography (EEG) signals. Several measures have been proposed (phase consistency in the gamma band, sample entropy, exponent of the power spectral density 1/f curve, E/I index extracted from detrend fluctuation analysis, and alpha power). It remains to be investigated to what extent they scale with excitability and how they relate to each other. Intermittent theta burst stimulation (iTBS) of the primary motor cortex (M1) is a non-invasive neuromodulation technique allowing controlled and focal enhancement of cortical excitability and E/I of the stimulated hemisphere. M1 excitability and several E/I estimates extracted from resting state EEG recordings were assessed before and after iTBS in a cohort of healthy subjects. Enhancement of M1 excitability, as measured through motor-evoked potentials (MEPs), and phase consistency of the cortex in high gamma band correlated with each other. Other measures of E/I showed some expected results, but no correlation with TMS excitability measures or consistency with each other. EEG E/I estimates offer an intriguing opportunity to map cortical excitability non-invasively, with high spatio-temporal resolution and with a stimulus independent approach. While different EEG E/I estimates may reflect the activity of diverse excitatory-inhibitory circuits, spatial phase synchrony in the gamma band is the measure that best captures excitability changes in the primary motor cortex.

show abstract

Assessing cortical excitability with electroencephalography: A pilot study with EEG-iTBS

Pellegrino,

Schuler,

Cai

et al. 2024

Brain Stimulation

View full text Add to dashboard Cite

Auditory white noise exposure results in intrinsic cortical excitability changes

Cited by 4 publications

References 55 publications

Methodological choices matter: A systematic comparison of TMS-EEG studies targeting the primary motor cortex

Methodological choices matter: A systematic comparison of TMS-EEG studies targeting the primary motor cortex

Assessing cortical excitability with electroencephalography: a pilot study with EEG-iTBS

Assessing cortical excitability with electroencephalography: A pilot study with EEG-iTBS

Contact Info

Product

Resources

About