WTEC Brain Computer Interface (BCI) Workshop: Sensor

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WTEC Brain Computer Interface (BCI) Workshop:

Sensor Technology

Greg A. Gerhardt

University of Kentucky Health Sciences Center

Departments of Anatomy and Neurobiology,

Neurology and Psychiatry

WTEC Workshop on Brain Computer Interface Research: 21 July 2006 Sponsors: NSF, TATRC, NIBIB, NINDS, DoED

Sensors in BCI – Study Highlights

• Science of BCI in North America and Europe

• The majority of BCI science in North America involves “invasive” technologies , i.e., multi-electrode recordings from arrays of electrodes implanted directly into brain.

• However, certain BCI sites in Europe are capable of providing technologies that could aid in the advancement of “invasive” sensor technologies.

These sites could be an untapped resource!

• The majority of BCI science in Europe involves “noninvasive” technologies , i.e., multi-electrode recordings from arrays of electrodes mounted onto the surface of the skull.

Sensors in BCI – Definitions

• Invasive Technologies – wire arrays,

Electrocorticographic (ECoG) strips, microfabricated electrode arrays (MEAs)

• Non-invasive Technologies – EEG, “headware devices”

• Enabling Technologies – In Vitro technologies such as MEAs

Initial Work with Electrodes (pre-1965)

• Hess (1932) -

• Fischer (1957) -

• Collias (1957) first to implant electrodes in diencephalon of cat various metals/insulators used as single wire electrodes; 1-2 mm injury around tract

Histopathological analysis; evolving response; astrocyte capsule formation by 1 mo.;

FBR to electrode

• Delgado (1961)

• Robinson and

Johnson (1961)

- Reinforced histological findings

**Courtesy of Patrick Tresco

Evolution of Electrode Designs

MICROWIRES

• Salcman and Bak (1973) -

• Woodward and Chapin (1980s) -

Record with parylene-coated microwires

Developed multi-wire arrays

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SILICON MICROELECTRODE ARRAYS

• Wise and Angell

(1970, 1975)

BeMent (1986)

-

-

Use IC technology to develop microelectrodes

Developed first multi-site electrode from Si (Michigan-style electrode)

----------------------------------------------------------------------------------

• Campbell (1991) Developed first monolithic multi-shank electrode from Si (Utah Electrode Array)

**Courtesy of Patrick Tresco

Micro-wire Recordings of Single-Unit Activity

ELECTRODE ARRAY

9 1

16

CA3

8

CA1

LA

TE

R

A

L

CA1

DG

T

M

E

D

IA

L

S

5

0

CA3

5

“Micro-wires” – the work horse sensors of many multi-single unit recording labs

0

0 50

Time (sec)

100

Neural Activity = Vector in N-dimensional space

X i,t

X = Firing Rate, i = Neuron, t = time

Courtesy of Drs. Sam Deadwyler and Rob Hampson

L-SAMPLE

R-NONMATCH

R-SAMPLE

L-NONMATCH

NOSEPOKE

1

2

5

6

7

10

CA1

11

12

CA3

13

150

16

Courtesy of

Scientific American and John Chapin

“Michigan” Probes

Wise, et al.(2004), Proceedings of the IEEE.

Hetke and. Anderson (2002). Handbook of Neuroprosthetic Methods.

Michigan Probes as a ‘Toolkit’

Basic probe assembly for chronic studies in animals

4/11/2003

Vetter, Kipke, et al. (2004) IEEE Trans Biomed Eng

Kipke et al. (2003). IEEE Trans Neural Systems and Rehab. Engin.

~60 functional channels

~90 high-quality spikes

Discriminated spike waveforms

Schwartz et al. (U Pitt.)

Kipke et al., (Univ. of

Michigan)

Spike rasters for acquired robot control

4/11/2003

Microfabricated

Parylene Probes

Microscale drug-delivery

500 µV

0

-500 µV

Chronic unit recordings

(FP5, day 7)

Courtesy of

Daryl Kipke,

Univ. of

Michigan

Future Wireless Technologies

(Kipke et al., Univ. of Michigan)

Direct communication with the CNS:

The ‘Utah Electrode Array’.

• MEM’s built silicon microsystem.

• 100 electrodes.

• Each electrode communicates with

2-3 neurons.

Courtesy of John Donoghue and Cyberkinetics

CNS Interconnect Systems

Courtesy of

John

Donoghue and

Cyberkinetics

DG

Neuron-Silicon Communication:

Conformal Multi-Site Recording Electrode Arrays

CA1

CA3

100 µm

„

„

„

„

Designed to allow recording from DG, CA1, and CA3 simultaneously

Designed for external single site stimulation

Capable of multi-site internal stimulation

Precisely aligned with averaged hippocampal slice cytoarchitectural coordinates

Trisynaptic conformal design aligned with rat acute slices

Courtesy of Ted

Berger, USC

Ceramic-Based Conformal Microelectrodes

Unique Features of Ceramic-based

“Conformal” Microelectrodes

1. Ceramic (Al

2

O

3

) substrates 37.5 to 125 µm

2. Long electrode configurations (1-20 cm)

3. “Multi-purpose” tip and shank designs

135

0

μ m

W3

Side-by-Side

600

μ m

Serial

W2

“Ceramic-based

Microarrays”

15x333 μ m

20x150 μ m

USC, Wake Forest and Univ. of Kentucky

MEAS with Flexible Connectors Analogous to Subdural Designs

Ceramic microelectrode

Spencer-Gerhardt

(SG-1) microelectrodes

Sub-dural strips Spencer-Gerhardt Microarray

(Chemistry and Physiology)

SG-1 prototype

SG-1

Electrode tip

Univ. of Kentucky and Ad-Tech Medical Instruments

Major Areas of Research

• What factors improve longevity of the recordings?

• Failure analysis of components over 1-12 month periods.

• How long do current designs last?

• How do we develop designs that last for ca. 5-10 years?

Electrocorticographic (ECoG)

Control of Brain Computer

Interfaces

Human ECoG Grids for Epilepsy

ECoG: Anatomical localization: Albert-Ludwigs

University, Freiburg, Germany

8

L

FL

7

6

5

4

3

2

1

H

G

F

E

D

C

B

A

TL

Development of Epidural Micro

ECoG Grids

Courtesy of Dan Moran, Washington Univ., St. Louis

In Vitro MEA’s

Multi Channel Systems

In Vitro MEAS (Reutlingen, Germany)

60 channel arrays

Professor Peter Fromherz

Max Planck Institute for Biochemistry, Munich, Germany

Rat neuron on electrolyte-oxide-silicon (EOS) field effect transistor. a) Electron micrographs (colorized) of a hippocampal neuron on a silicon chip array; b)

Schematic cross section of a neuron on a buried-channel field-effect transistor with blow-up (drawn to scale) of the contact area.

16,384 Element Silicon-Neuron

Array Recordings

Cultured Hippocampal Slices

7.4 μ resolution – 2 KHz Measures

Max Planck Institute for Biochemistry,

Munich, Germany

Non-Invasive EEG-Based BCI

brain signal

BCI control signal closed loop system visual feedback

Application

Mobile EEG system from g ® .tec (Austria)

Sensors - Non-Invasive BCI

• Need for “dry electrode” systems

• More “on electrode” electronics for improved signal-to-noise

Journal of Neuroscience Methods

Special Issue on BCI

• Editors – Ted Berger and Greg Gerhardt

• Manuscripts due by 12/1/06

• 1-2 volumes + overview - Currently 12 tentative manuscripts

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