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Flexible, foldable, actively multiplexed, high-density electrode array for mapping brain activity in vivo

Journal Article · · Nature Neuroscience
DOI:https://doi.org/10.1038/nn.2973· OSTI ID:1875438
 [1];  [2];  [3];  [4];  [5];  [6];  [7];  [7];  [6];  [7];  [7];  [4];  [7];  [3];  [7];  [8];  [9];  [10];  [3];  [6] more »;  [11] « less
  1. Polytechnic Inst. of New York Univ., Brooklyn, NY (United States); New York Univ. (NYU), NY (United States); University of Illinois
  2. Seoul National Univ. (Korea)
  3. Univ. of Pennsylvania School of Medicine, Philadelphia, PA (United States)
  4. Hospital of the Univ. of Pennsylvania, Philadelphia, PA (United States)
  5. United States Naval Academy, Annapolis, MD (United States)
  6. Univ. of Illinois at Urbana-Champaign, IL (United States)
  7. Univ. of Pennsylvania, Philadelphia, PA (United States)
  8. Tsinghua Univ., Beijing (China)
  9. Univ. of Colorado, Boulder, CO (United States)
  10. Northwestern Univ., Evanston, IL (United States)
  11. Hospital of the Univ. of Pennsylvania, Philadelphia, PA (United States); Univ. of Pennsylvania, Philadelphia, PA (United States)

Arrays of electrodes for recording and stimulating the brain are used throughout clinical medicine and basic neuroscience research, yet are unable to sample large areas of the brain while maintaining high spatial resolution because of the need to individually wire each passive sensor at the electrode-tissue interface. To overcome this constraint, we developed new devices that integrate ultrathin and flexible silicon nanomembrane transistors into the electrode array, enabling new dense arrays of thousands of amplified and multiplexed sensors that are connected using fewer wires. We used this system to record spatial properties of cat brain activity in vivo, including sleep spindles, single-trial visual evoked responses and electrographic seizures. We found that seizures may manifest as recurrent spiral waves that propagate in the neocortex. As a result, the developments reported here herald a new generation of diagnostic and therapeutic brain-machine interface devices.

Research Organization:
Univ. of Illinois at Urbana-Champaign, IL (United States)
Sponsoring Organization:
USDOE Office of Science (SC), Basic Energy Sciences (BES). Materials Sciences & Engineering Division; National Science Foundation; US National Institutes of Health
Grant/Contract Number:
FG02-07ER46471; FG02-07ER46453
OSTI ID:
1875438
Journal Information:
Nature Neuroscience, Journal Name: Nature Neuroscience Journal Issue: 12 Vol. 14; ISSN 1097-6256
Publisher:
Springer NatureCopyright Statement
Country of Publication:
United States
Language:
English

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