During this webinar, sponsored by Triangle BioSystems International (TBSI), scientists present experimental methods and scientific findings from applications of in vivo electrophysiology in conscious non-human primates using new head-mounted, wireless sensors. Specifically, members ofThe Hatsopoulos Laboratory at the University of Chicago present research using a 64 channel wireless headstage on marmosets. The objective of this research is to investigate sensorimotor encoding across marmoset’s behavioral repertoire. The group discusses the platform they have developed for voluntary behavioural training and neural recording in a home cage environment, and share preliminary data they have obtained. Following representatives from Dr. Ben Hayden’s lab, at the University of Minnesota, present a case study in which they have successfully implemented the 128-channel headstage in macaques while performing a center-out joystick task in a primate chair. They share methodology, experimental design, and discuss the promise their results show for future studies using untethered wireless recordings in freely moving and behaving animals.

1. Scientists discuss technological
advancements and present novel
application of new head-mounted and
implantable, wireless sensors for neural
recording in non-human primates.
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Wireless Recording Technologies for
in vivo Electrophysiology in Conscious,
Freely Behaving Non-Human Primates

2. Wireless Recording Technologies for
in vivo Electrophysiology in Conscious,
Freely Behaving Non-Human Primates
Tweet #LifeScienceWebinar #ISCxTBSI
Dr. Nicho Hatsopoulos
Professor
The Hatsopoulos Laboratory
University of Chicago
Dr. Ben Hayden
Assistant Professor
The Hayden Laboratory
The University of Minnesota

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5. Studying Motor Cortical
Encoding With Marmosets
Dr. Nicho Hatsopoulos
Professor
The Hatsopoulos Laboratory
University of Chicago
Copyright 2018 N. Hatsopoulos and InsideScientific. All Rights Reserved.
Jeff Walker
Graduate Student
The Hatsopoulos Laboratory
University of Chicago

6. Refining approaches to training
Common marmosets

7. A Platform For Automated,
Voluntary and Parallel
Behavioral Training
• Behavioral training apparatus attaches
to home cage.
• Training happens throughout the day
with no experimenter involvement.
• Marmosets voluntarily participation in
training.
• Apparatus allows for training multiple
marmosets in parallel.

8. In home cage training with apparatus

9. Example session of behavior within apparatus

10. Summary of behavior in apparatus

11. Summary of behavior in apparatus

12. Refining Neural Recording
Approaches with Marmosets

13. Refining Approaches to Neural Recordings with Marmosets
Utah array preparation:
• Custom Titanium Pedestal for
Utah array connector
• Minimal transcutaneous
diameter
• Foot design requires no
temporalis destruction
• Hydroxyapatite foot coating
to support oseointegration

14. Refining Approaches to Neural Recordings with Marmosets
Utah array preparation:
• Custom Titanium Pedestal for
Utah array connector
• Removable fixture for Utah array
connector

15. Refining Approaches to Neural Recordings with Marmosets
Utah Array preparation
after implantation

16. Refining Approaches to Neural Recordings with Marmosets
Modular W64 setup
• Custom 3D printed helmet
serves as base for W64
components

17. Refining Approaches to Neural Recordings with Marmosets
Modular W64 setup
• Base helmet
• Modular W64 headstage
• MUX/accelerometer
• RF transmitter/battery

18. Refining Approaches to Neural Recordings with Marmosets
Modular W64 setup
• Base helmet
• Modular W64 headstage
• MUX/accelerometer
• RF transmitter/battery
• MUX housing

19. Refining Approaches to Neural Recordings with Marmosets
Modular W64 setup
• Base helmet
• Modular W64 headstage
• MUX/accelerometer
• RF transmitter/battery
• MUX housing
• RF/battery housing

20. Wireless Neural Recordings

21. Wireless Neural Recordings

22. Neural and Behavioral Data
Acquisition

23. XROMM: X-ray
Reconstruction of
Moving Morphology
• Bi-planar x-ray based
motion capture system
• markers placed in the arm
an torso
• 7 degrees of freedom of
shoulder, elbow and wrist

24. Foraging Example

25. Simultaneous Neural and Kinematic Recording

26. 20170428
Recording neural activity
from freely moving
marmosets
• Unconstrained and naturalistic
behavior
• Sampling activity across
marmosets’ behavioral
repertoire

27. Recording neural activity
from freely moving
marmosets
• Unconstrained and naturalistic
behavior
• Sampling activity across the
marmosets’ behavioral
repertoire
• Moving toward
semisupervised annotation of
behavioral state

28. Wf_am1
Wf_cam
2
Close_cam_1
Close_cam 2
XROMM or
Cascaded Pose
Regression
Detect to
Track
Kinematics:
Joint Angles and
Hand Position
Marmoset
Positions
Neural Data
Accelerometer
Data
JAABA
Adaptation
Behavioral
Annotation
Toward Automated, Voluntary and Parallel In-home Cage
Behavioral Annotation, Kinematic and Neural Recordings

29. Future Developments
1. Quick connect option to minimize handling when
attaching RF transmitter and battery package
2. Solution for monitoring and recording signal loss events
to optimize antenna placement and recording quality
3. Solution for remotely turning headstage on and off
when marmosets enter and leave the apparatus to
preserve battery life
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30. Products Designed for Research
Our goal is to accommodate your neural interface equipment
needs, from electrodes to data digitization and analysis. All of our
products are designed to aid with in-vivo neuroscience research,
especially in the fields of electrophysiology, psychology, neurology,
and pharmacology, as well as disease origin studies.
To learn more about our biointerfacing solutions, visit www.trianglebiosystems.com
TRIANGLE BIOSYSTEMS INTERNATIONAL
A Division of Harvard Bioscience

31. Toward Wireless Recording in
Freely Moving Macaque Monkeys
Copyright 2018 B. Hayden and InsideScientific. All Rights Reserved.
Ben Hayden
Associate Professor
The Hayden Laboratory
The University of Minnesota
Adam Rouse
Research Assistant Professor
The Schieber Laboratory
The University of Rochester
Seng Bum Michael Yoo
Graduate Student
The Hayden Laboratory
The University of Minnesota

32. Motivation

33. • Hayden Lab:
– Ever more naturalistic foraging
– Decisions are embedded and embodied
– Natural is different
• Schieber Lab (Rouse Lab):
– Neural encoding of more diverse movements

35. Neural trajectories during reach-to-grasp
Rouse & Schieber, in preparation

36. Surgery
(Adam Rouse)

37. Chronic Multielectrode Arrays
• Implanted ten x 32 electrode Floating
MicroArrays (MicroProbes, Inc)
• 3 in Anterior cingulate
• 2 in Dorsal lateral prefrontal
• 2 in Dorsal premotor
• 3 in Primary motor

38. Implantation Planning
• Surgery planning done with cortEXplore software from Stefan
Schaffelhofer (We also have used BrainSight and Amira)
• Each electrode length was customized
• Electrode lengths ranged from 1-8.5mm

39. Implantation Planning

40. Implantation
• Expose cortical surface
• Suction pipette on
micromanipulator
• Calculated approach
angle
• Close dura
• Cover and encase
connectors with
methyl methacrylate

41. Triangle Biosystems International
Wireless Recordings /
Platform
• Custom 3 x 3.25 inch
chamber
• Ten 32-channel Omnetics
connectors
• 3D printed platform for two
128-channel headstages

42. Triangle Biosystems International
Wireless Recordings /
Platform
• Custom 3d printed cover
• Battery sits in side of cover
• Screw top lid for turning on
and off

43. Intermediate Chair Test

44. Goal
• Compare the signal quality between wired and wireless recording
in well-established protocol using our Ripple Grapevine NIP data
acquisition system

45. W128 ( X2 )
Ripple Grapevine
(512 Channel): 30Khz sampling rate
DB37
Adaptor
32-Channel Nano 2
Front Ends( X8 )
Trellis Software
Installed Computer
128-channel RF Transmitting
Head Stage ( X2 )
Recording Configuration
• Two 128-channel TBSI
transmitting head stages
• Custom Ripple adapter
for interfacing TBSI base
station with Ripple Nano
2 Front Ends
• Compared to Ripple
Front Ends plugged in
directly to the animal

46. 𝑆𝑁𝑅 =
𝑃𝑒𝑎𝑘 − 𝑇𝑟𝑜𝑢𝑔ℎ
2 ∙ 𝜎 𝑁𝑜𝑖𝑠𝑒
Spike Sorting Quality (SNR)

47. Center-Out
Gambling
Task Structure

48. Wireless Recording
Neural Result
Center-Out
• Primary motor cortex
(M1)
• Single unit tuning
• Fit with a cosine
• Confirms functional
tuning

49. Neural Result
Gambling
• Primary motor cortex (M1)
• Single unit tuning
• Larger expected value in
option 1 or 2 (2 conditions).
• Functional information
remained in recorded data.

50. Wireless Recordings in
Freely Moving Monkeys

51. W128 ( X2 )
Ripple Grapevine
(512 Channel)
NeuralDataBehavioralData
Track
Macaque’s
Joint & Limb
Position
GoPro Camera
(x24)
Multi-view
Bootstrapping
Algorithm
32-Channel
Nano 2
Front Ends( X8 )
Kinematic
Information
Behavioral
Annotation
Neural Data
(256-channel)
Recording Configuration
Optitrak
Camera
(x12)
Track
Marker
Point Cloud
Reconstruction
Algorithm

52. Reward
Feeder
GoPro / Optitrak
Camera
Behavior Control
Computer (Real-time)
Optitrak Control
Computer (Real-time)
Synchronization Box
GoPro Processing
Computer (Post-hoc)
RippleControl
Computer
Foraging Cage Configuration

53. Video of Actual Freely Moving Monkey

54. 9 ft ( 2.75 m)
9ft(2.75m)
Distance between
antenna and head
stage: 3 ft.
In Cage Vs. Out Of Cage Signal Quality
Out cage In cage
2
3
4
5
6
7
SNR
In Cage Condition
Out Cage Condition
Summary: Slight decrease in signal-to-noise ratio, but
still they do show some difference (having antenna and
head stage same side of the cage gives better SNR).

55. 9 ft ( 2.75 m)
9ft(2.75m)
Distance Dependency of Signal Quality
2 ft
Far Close
2
3
4
5
6
7
SNR
Summary: No difference due to distance.
However, the signal was dropped once head stage was beyond 5 ft
from antenna.

56. Gain Amplifier
• Purpose:
Overcoming signal
drop according to
distance increase.
• One end is
connected to
receiver and the
other end is to
antenna.
Close Far
2
3
4
5
6
7
SNR
Summary: No drop of signal beyond 5 fts.
(Similar numbers of units are shown in far
condition compare to close)
Still, signal decrease in SNR occurred.

57. Future Direction
Remaining Technical Obstacles.
- Removing Motion Artifacts
- Grounding Issues (develop stable external grounds in head stage).
Data Collection
- LFP data collection
- Optitrack, Multi-view bootstrapped behavior notation
Design Issue
- Cap design: secure easy attachment / detachment of battery to head stage.
- Can we put antenna inside the cage, but without monkey damaging it.

58. Acknowledgement
Marc Schieber
(Professor at University of
Rochester)
Benjamin Eisenrich
(Post-doctoral Fellow at
University of Minnesota)
Marc Mancarella
(Technical Associate at
University of Rochester)

59. Tweet #LifeScienceWebinar #ISCxTBSI
Thank you!
Dr. Nicho Hatsopoulos
Professor
The Hatsopoulos Laboratory
University of Chicago
Dr. Ben Hayden
Assistant Professor
The Hayden Laboratory
The University of Minnesota
For more information on the applications
and products presented in this webinar,
visit www.trianglebiosystems.com or
email support@trianglebiosystems.com
Give us your feedback on
this content, and submit
questions.
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