Biology subjects

Champagne, A.

Publications and source records attributed to Champagne, A..

3 recordsLinked to original sources

bioRxiv2026

A comprehensive physiological dataset of pain and aversive modalities for pain biomarkers research

While progress has been made in identifying pain biomarkers using neuroimaging, the development of reliable EEG-based biomarkers remains challenging, limited by small sample sizes and the lack of adequate control conditions. We present a comprehensive dataset from 125 pain-free adults, comprising electroencephalogram (EEG) recordings, and behavioural, sociodemographic, and psychological data. Galvanic skin response and electrocardiogram data were also recorded in a subset of participants (n = 76). Participants received two sustained painful stimulations (thermal, chemical) and two sustained aversive non-painful stimulations (auditory, taste), each delivered twice (with and without continuous intensity ratings). Data are provided in Brain Imaging Data Structure format, where all physiological, stimulus-related, and behavioural data are synchronized within the EEG data files for easy access and analysis. Technical validation confirmed data integrity, with spectral and physiological analyses showing responses associated with stimulus intensity and subjective pain/unpleasantness levels. By providing multimodal physiological data across painful and non-painful aversive conditions, this initiative represents a valuable resource for developing or validating biomarkers and exploring the multidimensional nature of pain perception.

neuroscience↗

bioRxiv2026

Identifying and engineering the molecular origins of lignin color for predictive staining of plant tissues.

Lignins in plant biomass are carbon-negative aromatic biopolymers which hold tremendous potential as multipurpose resources for sustainable bioeconomy, limited only by their chemical heterogeneity. Plant lignified tissues, such as sapwood and seed coats, vary in colors within and between species, indicating that specific lignin topochemistries determine the different colors. Yet, the responsible lignin chromogen(s) are unknown. We developed chemical imaging using UV-Vis microspectroscopy to link lignin color to topochemistry in isolates and plant samples. Using synthetic and technical lignins, we identified the different stable chromogens as homomeric lignin substructures varying in size, unit chemistry and interunit linkages. We controlled the accumulation of specific lignin chromogens using genetic engineering to similarly stain lignified tissues from different plant species. We established plant tissue engineering to cast plant tissues with pre-determined color by adjusting lignin topochemistries. We proved that biotechnological manipulation of the identified lignin chromogens predictably and stably stains lignified plant tissues.

bioengineering↗

bioRxiv2023

Quantitative comparison between aMRI and DENSE for the assessment of brain tissue motion

PurposeAmplified MRI (aMRI) holds potential for assessing brain tissue motion and strain, using images acquired from readily-available sequences. However, image registration is necessary to extract displacements from the motion-amplified images, which may limit its accuracy. We aimed to separately assess the errors from imperfections in the aMRI amplification, and errors from the registration algorithm, using a semi-synthetic approach. MethodsGround truth brain tissue motion was derived from smoothed Displacement Encoding with Stimulated Echoes (DENSE) measurements acquired at 7T (8 subjects). Those were then applied to a still sagittal anatomical balanced-SSFP image to obtain a DENSE-animated MRI series to which aMRI (amplification factor 10) was applied. DENSE-amplified MRI series served as a reference (Damp-MRI; amplification factor, 10). Amplified displacements were extracted from aMRI and Damp-MRI using a common registration algorithm. Linear regression was used to estimate the amplification and r2 agreement of the amplified displacements relative to the ground truth. ResultsThe estimated amplification was consistently lower for aMRI-derived displacements (range: [4.9{+/-}0.3 5.7{+/-}0.3]) than for Damp-MRI measurements (range: [6.7{+/-}0.5 7.7{+/-}0.5]). Nevertheless, the spatial, temporal and average characteristics of brain tissue motion derived from aMRI were comparable to the ground truth for Anterior-Posterior and Feet-Head displacements: (group averaged r2[≥]0.84), as were the Damp-MRI derived displacements (r2[≥]0.88). When aMRI was applied to in-vivo cine-bSSFP images and compared to the ground truth, the results were less favorable, highlighting the need for artefact-free images. ConclusionThese results strengthen the potential of aMRI as a tool for semi-quantitative assessment of brain tissue motion in disease.

neuroscience↗