• Neural recording chambers enable long-term, repeat access to brain tissue for electrodes and experiments.1
  • Chambers provide a hardware path for stable iEEG/ECoG-style invasive interfaces.1
  • The approach is relevant to neuroprosthetics and neural engineering (Journal of Neuroscience).1 1

Weekly enrichment (2026-07-20)

  • The primary source is a Journal of Neuroscience paper (12 February 2025, 45(7):e1106242024) describing a modular, low-profile recording chamber for long-term optical and electrophysiological access to marmoset cortex.2
  • The chamber comprises four parts: a main cylinder and outer nut (both titanium) plus an interchangeable well insert and cap (both stainless steel), embedded into the skull for stability.2
  • Swapping inserts lets the same chamber switch between optical imaging (round cover glass, thickness 0.15-0.2 mm) and electrophysiology (a coverslip with holes drilled by a 0.05-inch / 1.27 mm bit to admit electrodes).2
  • The chamber has a low 1.6 mm height profile to bring microscope objectives close to the brain, and main diameters of roughly 5-7 mm worked well over marmoset areas MT, V1, and FEF.2
  • Demonstrated modalities include Neuropixels-probe electrophysiology, wide-field and two-photon imaging, and optogenetic stimulation (using the red-shifted opsin bReaChES) in awake and anesthetized animals.2
  • Keeping the chamber sealed preserves window clarity and permits viral or drug injections at multiple time points; window swaps and minor cleanups can be done in awake animals, unlike artificial-dura designs that require anesthesia.2
  • The longest continuous recording reported was over 3 hours in an acute preparation; limitations are that electrodes are not head-mounted (removed at the end of each daily session) and the design does not support permanently implanted chronic arrays.2
  • The modular design is adaptable to species with similar or thicker skulls (macaques, rodents), offering a hardware path for stable, repeatable invasive neural access relevant to neuroprosthetics and iEEG/ECoG-style interfaces.3

Footnotes

  1. https://news.google.com/rss/articles/CBMiX0FVX3lxTE9VMENqbXl2QWxLSlFoYWRNV2REYXdTbi1aT3NCV3c1VFNXZHF5UDNYdm9tcVY0QUhvUWJMOVcwSi05WFdRMS1LWGNSOWVUYlkycG90MjRRYzBWY0ZyU0hn?oc=5 2 3 4

  2. https://www.jneurosci.org/content/45/7/e1106242024 2 3 4 5 6 7

  3. https://doi.org/10.1523/JNEUROSCI.1106-24.2024