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Borda, E.

Publications and source records attributed to Borda, E..

5 recordsLinked to original sources

Genomic expansion in the dark: A repeat-rich genome of a cave-dwelling remipede sheds light on the evolution of the hexapod sister group.

Remipedes are enigmatic blind, venomous crustaceans endemic to anchialine cave ecosystems (aphotic, hypoxic subterranean environments) and occupy a pivotal phylogenomic position within Pancrustacea as the sister group to Hexapoda. A high-quality genome assembly has long proven elusive for this taxon, due to accessibility challenges and the fragility of remipedes when removed from their habitat. Here we present a highly contiguous, chromosome-level genome assembly for the remipede Xibalbanus tulumensis (Xibalbanidae) spanning 8.05 Gb on 30 chromosome-scale scaffolds, placing it among the largest arthropod genomes reported to date. The protein-coding gene repertoire was highly conserved, with over 97% of arthropod orthologs recovered, and microRNA surveys showed a high level of completeness (94%) relative to pancrustacean genomes. Genome expansion appears to be driven primarily by proliferation of intronic and repetitive elements, which comprise ~71% of the genome. Comparative genomic analyses reveal extensive gene family turnover, with relatively few families showing lineage-specific expansions and contractions. Venom-associated gene families included the remipede-specific Xibalbins, while significant expansion and episodic positive selection affected other venom-associated gene families. Comparative analysis of macrosynteny revealed that the remipede genome retains the signature of ancient fusion-with-mixing events that unite Pancrustacea and Allotriocarida, with considerable similarity in the chromosome architecture of remipedes and basally branching insect orders. Our findings provide the first genomic framework for Remipedia and reveal a highly expanded, repeat-rich genome that retains deep phylogenetic signals in its architecture, despite being adapted to a highly unusual environment.

genomics↗

Conformable neural interface based on off-stoichiometry thiol-ene-epoxy thermosets

Off-stoichiometry thiol-ene-epoxy (OSTE+) thermosets have recently gained attention for the rapid prototyping of microfluidic chips because they show low permeability to gases and little absorption of dissolved molecules, they allow direct low-temperature dry bonding without surface treatments, they have a low Youngs modulus, and they can be manufactured via UV polymerisation. The compatibility with standard clean-room processes and the outstanding mechanical properties make OSTE+ an excellent candidate as a novel material for neural implants. Here we exploit OSTE+ to manufacture a conformable multilayer micro-electrocorticography array with 16 platinum electrodes coated with platinum black. The mechanical properties allow device conformability to curved surfaces such as the brain. The low permeability and strong adhesion between layers improve the stability of the device. Acute experiments in mice show the multimodal capacity of the array to record and stimulate the neural tissue by smoothly conforming to the mouse cortex. Devices are not cytotoxic, and immunohistochemistry stainings reveal only modest foreign body reaction after two and six weeks of implantation. This work introduces OSTE+ as a promising material in the field of implantable neural interfaces.

bioengineering↗

Closed-loop spinal cord stimulation is superior in restoring locomotion in rodent models of Parkinson's Disease

Dorsal column stimulation (DCS) of the spinal cord is emerging as a promising new technology to treat Parkinsons disease (PD). However, optimal stimulation settings that maximize its therapeutic effect on PD symptoms are yet to be determined. Here we demonstrate a closed-loop DCS (CLDCS) paradigm - a substantial advancement from previously tested continuous high-frequency DCS - in a bilateral intrastriatal 6-hydroxydopamine (6-OHDA) rodent model of PD. Firstly, CLDCS, triggered by corticostriatal beta frequency oscillations facilitated a pro-locomotion brain state that restored locomotion and reduced akinesia. Secondly, CLDCS was better at disrupting ongoing beta oscillations and achieved it with lesser overall charge delivery than continuous open-loop stimulation. These results indicate that CLDCS is markedly better than traditional spinal cord stimulation methods and can potentially be highly effective in treating PD symptoms. We envision that the CLDCS approach can be beneficial in the treatment of other neurological disorders which showcase similar pathological neuronal oscillations.

neuroscience↗

Three-dimensional multilayer concentric bipolar electrodes enhance the selectivity of optic nerve stimulation

ObjectiveIntraneural nerve interfaces often operate in a monopolar configuration with a common and distant ground electrode. This configuration leads to a wide spreading of the electric field. Therefore, this approach is suboptimal for intraneural nerve interfaces when selective stimulation is required. ApproachWe designed a multilayer electrode array embedding three-dimensional concentric bipolar electrodes. First, we validated the higher stimulation selectivity of this new electrode array compared to classical monopolar stimulation using simulations. Next, we compared them in-vivo by intraneural stimulation of the rabbit optic nerve and recording evoked potentials in the primary visual cortex. Main resultsSimulations showed that three-dimensional concentric bipolar electrodes provide a high localisation of the electric field in the tissue so that electrodes are electrically independent even for high electrode density. Experiments in-vivo highlighted that this configuration leads to evoked responses with lower amplitude and more localised cortical patterns due to the fewer fibres activated by the electric stimulus in the nerve. SignificanceHighly focused electric stimulation is crucial to achieving high selectivity in fibre activation. The multilayer array embedding three-dimensional concentric bipolar electrodes improves selectivity in optic nerve stimulation. This approach is suitable for other neural applications, including bioelectronic medicine.

bioengineering↗

A machine-learning algorithm correctly classifies cortical evoked potentials from both natural retinal stimulation and electrical stimulation of the optic nerve

ObjectiveOptic nerves intraneural stimulation is an emerging neuroprosthetic approach to provide artificial vision to totally blind patients. An open question is the possibility to evoke individual non-overlapping phosphenes via selective intraneural optic nerve stimulation. To begin answering this question, first, we aim at showing in preclinical experiments with animals that each intraneural electrode could evoke a distinguishable activity pattern in the primary visual cortex. ApproachWe performed both patterned visual stimulation and patterned electrical stimulation in healthy rabbits while recording evoked cortical activity with an electrocorticogram array in the primary visual cortex. Electrical stimulation was delivered to the optic nerve with the intraneural array OpticSELINE. We used a support vector machine algorithm paired to a linear regression model to classify cortical responses originating from visual stimuli located in different portions of the visual field and electrical stimuli from the different electrodes of the OpticSELINE. Main resultsCortical activity induced by visual and electrical stimulation could be classified with nearly 100% accuracy relative to the specific location in the visual field or electrode in the array from which it originated. For visual stimulation, the accuracy increased with the separation of the stimuli and reached 100% for separation higher than 7 degrees. For electrical stimulation, at low current amplitudes, the accuracy increased with the distance between electrodes, while at higher current amplitudes, the accuracy was nearly 100% already for the shortest separation. SignificanceOptic nerves intraneural stimulation with the OpticSELINE induced discernible cortical activity patterns. These results represent a leap forward for intraneural optic nerve stimulation towards artificial vision.

bioengineering↗