Donovan, K. M. | Search bioRxiv

bioRxiv2024

Vibrotactile auricular vagus nerve stimulation alters limbic system connectivity in humans: A pilot study

Vibration offers a potential alternative modality for transcutaneous auricular vagus nerve stimulation (taVNS). However, mechanisms of action are not well-defined. The goal of this study was to evaluate the potential of vibrotactile stimulation as a method for activating central brain regions akin to other vagal nerve stimulation methodologies. To do so, intracranial electrophysiological signals were recorded in human subjects to perform a parametric characterization of vibrotactile taVNS and investigate changes in coherence across key brain regions. We hypothesized that vibrotactile taVNS would increase coherence between limbic brain areas, similar to areas activated by classic electrical VNS approaches. Our specific regions of interest included the orbitofrontal cortex, anterior cingulate cortex, amygdala, hippocampus, and parahippocampal gyrus. Patients with intractable epilepsy undergoing stereotactic electroencephalography (sEEG) monitoring participated in the study. Vibrotactile taVNS was administered across five vibration frequencies following a randomized stimulation on/off pattern, and sEEG signals were recorded throughout. Spectral coherence in response to stimulation was defined across four canonical frequency bands, theta, alpha, beta, and broadband gamma. At the group level, vibrotactile taVNS resulted in significantly increased global low-frequency coherence. Anatomically, multiple limbic brain regions exhibited notably increased coherence during taVNS compared to baseline. The percentage of total electrode pairs demonstrating increased coherence was also quantified at the individual level. 20 Hz vibration resulted in the highest percentage of responder pairs across low-frequency coherence measures, but notable inter-subject variability was present. Overall, vibrotactile taVNS induced significant low-frequency coherence increases involving several limbic system structures. Further, parametric characterization revealed the presence of inter-subject variability in terms of identifying the optimal vibration frequency. These findings encourage continued research into vibrotactile stimulation as an alternative modality for noninvasive vagus nerve stimulation.

neuroscience↗

bioRxiv2023

Multivariate Residualization in Medical Imaging Analysis

Nuisance variables in medical imaging research are common, complicating association and prediction studies based on image data. Medical image data are typically high dimensional, often consisting of many highly correlated features. As a result, computationally efficient and robust methods to address nuisance variables are difficult to implement. By-region univariate residualization is commonly used to remove the influence of nuisance variables, as are various extensions. However, these methods neglect multivariate properties and may fail to fully remove influence related to the joint distribution of these regions. Some methods, such as functional regression and others, do consider multivariate properties when controlling for nuisance variables. However, the utility of these methods is limited for data with many image regions due to computational and model complexity. We develop a multivariate residualization method to estimate the association between the image and nuisance variable using a machine learning algorithm and then compute the orthogonal projection of each subjects image data onto this space. We illustrate this methods performance in a set of simulation studies and apply it to data from the Alzheimers Disease Neuroimaging Initiative (ADNI).

bioinformatics↗