Biology subjects

Lisinski, J.

Publications and source records attributed to Lisinski, J..

3 recordsLinked to original sources

bioRxiv2025

Tactile Pressure Evokes a Biphasic BOLD Response in Ipsilateral Primary Somatosensory Cortex

Tactile perception is fundamental to how we engage with and interpret our surroundings. While the contralateral primary somatosensory cortex (S1) is thought to be generally responsible for processing tactile information, simultaneous responses in the ipsi-lateral hemisphere have been observed. This work aims to characterize the blood-oxygen-level-dependent (BOLD) response pattern of ipsilateral S1 to unilateral tactile stimuli. In this study, tactile stimuli were applied using a custom pneumatically actuated stimulator designed and built in house (KalantaryArdebily et al., 2024). Three stimulus force levels were applied in an event-related design. As expected we observed an apparent difference in BOLD responses between the contralateral and ipsilateral hemispheres. We found differing response patterns between the Brodmanns areas (BA) within ipsilateral S1. Ipsilateral BA2 had a positive BOLD response similar to that of the contralateral hemisphere. In contrast, ipsilateral BA1 and BA3b appeared to have a biphasic response. That is, those regions had an initial negative response, followed by a secondary positive one. Using multi-echo analysis, we verified that this biphasic response pattern is BOLD-related. In addition, the secondary (positive) phase was more sensitive to tactile stimulus force than the initial "negative" BOLD phase. The ipsilateral BA1 and BA3b responses support a previous hypothesis of bilateral sensory gating (Blatow et al., 2007; Chung et al., 2014; Hamalainen et al., 2000; Kastrup et al., 2008; Klingner et al., 2016; Schafer et al., 2012; Tame et al., 2015). This study extends previous research reporting negative responses in ipsilateral S1, suggesting that the response is BOLD-related, biphasic, and that the previously overlooked secondary positive phase is actually more sensitive to stimulus intensity.

neuroscience↗

bioRxiv2020

MRI Brain Templates of the Male Yucatan Minipig

The pig is growing in popularity as an experimental animal because its gyrencephalic brain is similar to humans. Currently, however, there is a lack of appropriate brain templates to support functional and structural neuroimaging pipelines. The primary contribution of this work is an average volume from an iterative, non-linear registration of 70 male Yucatan minipig subjects whose ages ranged from five to seven months. In addition, several aspects of this study are unique, including the comparison of linear and non-linear template generation, the characterization of a large and homogeneous cohort, an analysis of effective resolution after averaging, and the evaluation of potential within template bias as well as a comparison with a template from another minipig species using a "left-out" validation set. We found that within our highly homogeneous co-hort, non-linear registration produced better templates, but only marginally so. Although our T1-weighted data were resolution limited, we preserved effective resolution across the multi-subject average, produced templates that have high gray-white matter contrast, and demonstrated superior registration accuracy compared to the only known alternative minipig template.

neuroscience↗

bioRxiv2018

Evaluating fMRI-Based Estimation of Eye Movement during Naturalistic Viewing

The collection of eye gaze information during functional magnetic resonance imaging (fMRI) is important for monitoring variations in attention and task compliance, particularly for naturalistic viewing paradigms (e.g., movies). However, the complexity and setup requirements of current in-scanner eye-tracking solutions can preclude many researchers from accessing such information. Predictive eye estimation regression (PEER) is a previously developed support vector regression-based method for retrospectively estimating eye gaze from the fMRI signal in the eyes orbit using a 1.5-minute calibration scan. Here, we provide confirmatory validation of the PEER methods ability to infer eye gaze on a TR-by-TR basis during movie viewing, using simultaneously acquired eye tracking data in five individuals (median angular deviation < 2{degrees}). Then, we examine variations in the predictive validity of PEER models across individuals in a subset of data (n=448) from the Child Mind Institute Healthy Brain Network Biobank, identifying head motion as a primary determinant. Finally, we accurately classify which of two movies is being watched based on the predicted eye gaze patterns (area under the curve = .90 {+/-} .02) and map the neural correlates of eye movements derived from PEER. PEER is a freely available and easy-to-use tool for determining eye fixations during naturalistic viewing.

neuroscience↗