Search bioRxiv⌕ Search

Biology subjects

Garrett, D.

Publications and source records attributed to Garrett, D..

2 recordsLinked to original sources

Carbon Cybernetics Array: a miniaturized carbon-based microelectrode array for intracortical recording

Implantable brain-machine interfaces, capable of capturing high-resolution neural signals, hold great promise for treating neurological conditions and advancing neuroscience research. As the field moves toward chronic, fully implantable systems, ensuring the long-term safety and stability of the microelectrode arrays, the core component of these interfaces, remains a significant challenge. Hermetic sealing, which prevents moisture and contaminants from entering the device, is a critical yet often overlooked factor in array designs. This study reports the Carbon Cybernetics Array, a hermetically sealed, carbon-based microelectrode array for neural interfacing. Carbon fiber electrodes are anchored on a diamond substrate via a hermetic feedthrough structure, with hermeticity validated through helium leak testing. These ultrathin and flexible carbon fibers require minimal insertion force, cause little tissue damage after six months of implantation in rats and enable single-unit neural recordings. Furthermore, a low-cost, manually controllable insertion toolset is developed for precise array implantation in the sheep brain through a small burr hole, demonstrating a step toward clinical translation. Finally, the scalability of the fabrication approach is exemplified by arrays with over 1000 fibers. Together, this hermetically sealed feedthrough structure will lay the foundation for a future fully implantable device with wireless capabilities.

bioengineering↗

Local temporal variability reflects functional network integration in the human brain: On the crucial role of the thalamus

Local moment-to-moment variability exists at every level of neural organization, but its driving forces remain opaque. Based on animal work showing that within-region variability can be a primary function of synaptic input, we used fMRI to test in humans whether greater temporal variability in local brain regions was associated with higher functional network integration. We found that individuals with higher local temporal variability had a more integrated (lower-dimensional) network fingerprint, with temporal variability in the thalamus showing the strongest association with network dimensionality. Beyond animal findings showing that local variability should upregulate from thalamus to visual cortex, we found that local variability upregulated from thalamus to all structurally connected cortical targets. Critically, greater within-person thalamo-cortical upregulation was associated with higher integration in 12 of 13 examined networks. Our findings indicate that local variability primarily reflects functional integration, with the thalamus acting as a relay or modulator of variability in cortex.

neuroscience↗