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Mechanistic Bases for Examining Effects of Acoustic and Electromagnetic Energy Exposures Carey D. Balaban University of Pittsburgh

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Page 1: Balaban was it a neuroweapon test brief reduced - nsiteam.com

Mechanistic Bases for Examining Effects of Acoustic and Electromagnetic Energy

Exposures

Carey D. BalabanUniversity of Pittsburgh

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3D Digitization for “Prescription” Ear Plugs

Personal Protective Equipment (PPE)

In-Ear Dosimetry

Shipboard PPE

Underwater comms & hearing protection

Hearing loss simulator

Incidence, Susceptibility & Evaluation

Assessment tools

Systems Approach for an Integrated 6.1 / 6.2 / 6.3 Program

Source Noise Reduction

Shipboard noise assessment

Shipboard noise path validation

Laboratory modeling/ scale tests of jet noise reduction

Jet noise Reduction

Medical Prevention & Treatment

Blast Auditory Injuries

Cell regeneration

Pharmacologic interventions and drug delivery

ONR Noise-Induced Hearing Loss PortfolioProgram Officer: Kurt Yankaskas

2NIHL markers

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Operational Scenario for Technology

US Embassy in Cuba to reduce staff indefinitely after 'health attacks'

By Laura Koran and Patrick Oppmann, CNN Updated 6:38 PM ET, Fri March 2, 2018

The American flag flies at the U.S. Embassy following a ceremony August 14, 2015, in Havana.

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Source of Exposure Unknown

• Potential directed energy sources include– Hypersonic sound (and LRAD)– Pulsed radiofrequency– Pulsed laser source– Ultrasound (e.g., from photoacoustic device)

• Receiver characteristics: Waveguide, resonance and cavitation properties of intracranial contents

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Order of Discussion

• Overview of literature from 1960s-1990s on ultrasound and RF effects on the inner ear and brain– Organs of hearing include the saccule and utricle

• COTS devices for ultrasound and pulsed RF emissions

• Objective tests of eye movement and pupil coordination that distinguish control, acute mTBI and individuals affected from Havana

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Intracranial Wave Guide, Resonance and Cavitation

Carey BalabanJeffrey Vipperman, George Klinzing,

Brandon Saltsman, Scott Mang

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Biological Effects of Directed Energy

• Directed energy can produce peripheral and central neurosensory symptoms and signs

• Examples:– Occupational exposures– Environmental exposures– Military domain

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Current ONR Support

• Characterize wave guide, resonance and cavitation features of cranial contents– Blood vessels (surrounded by Virchow-Robin

spaces) as coaxial fluid-filled wave guides and resonance cavities

– Ventricles and cisternal system– Inner ear– Air spaces (sinuses, pharynx, etc.)

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Integrated View• Cranial resonances may differentially amplify

incident energy

Model from http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0113264

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Integrated View• Cranial resonances may differentially amplify

incident energy

Model from http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0113264

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Vestibule and Hook Portion

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Classical Cochlear Mechanics

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Stria Vascularis Structure

• Parallel network of capillaries, fed and drained at even intervals by arterioles and venules, in the lateral cochlear wall

• Capillaries (12-16 µm diameter, 40-50 µm spacing) – Non-pulsatile flow – Packed tightly with blood cells for most of the length

of the cochlea

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Acoustic Cavitation

Edmonds PD (ed) Ultrasonics 1981

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Energy Thresholds: Transfer to Cochlear Fluids

• Incident sound energy in the audible range produces considerable pressure differences in endolymph and perilymph compartments of the cochlear partition

• Published transfer functions are suitable for predictive modeling of cavitation

• Cavitation noise profiles can be measured directly

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Local Strial Blood Flow Altered During Sound Exposure

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Integrated View

• Cavitation of water and blood can occur in the audible frequency range at intensities produced in the cochlear fluids

• Pressures recorded in the cochlea during acoustic stimulation suggest that the threshold for blood cavitation is exceeded by several orders of magnitude at maximum resonance sites along the basilar membrane

• Dissolved gas (nitrogen and oxygen) in body fluids may form bubbles

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The Frey Effect

• Humans can ‘hear’ radar (microwave) emissions

Aerospace Medicine Dec 1961

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The Frey Effect

The American Journal of Medical Electronics 1963

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The Frey Effect

• Tyazhelov et al. (Radio Science, 14 (1979), 259-263): Human minimum detection thresholds for pulsed microwaves in the 10-15 kHz pulse repetition range

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The Frey Effect

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The Frey Effect

• A thermoelastic response of the inner ear was proposed for audibility of radar pulses

• Acoustic cavitation emissions from blood in the stria vascularis and fluids the inner ear (endolymph and perilymph) are one such plausible mechanism

• Effects on utricle and saccule (proximate to hook portion of cochlea) in inner ear? – Excited by sound (Vestibular Evoked Myogenic

Potential)• Intracranial blood vessels may also be affected?

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Vestibule and Hook Portion

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COTS Device Examples

http://myskunkworks.net/index.php?route=product/product&path=61&product_id=60

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COTS Device Examples

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COTS Device Examples

On-line pest control products from a major retailer

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COTS Device Examples

https://gopestfree.com/pestfree-our-technologies/

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COTS Device Examples

https://www.soundlazer.com/

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SoundLazer Large (98 Element) Ultrasonic Speaker Array

SPECIFICATIONS FOR ONE TRANSDUCER• 40kHz Operating Frequency• 120 ± 3 dB SPL• 10 V (rms) sine wave• Standoff distance of 30 cm• Capacitance = 2,550 pF @ 1kHz• Operating Temperature -40°C to

85°CReference: Data Sheet for Murata Part No. MA40S4S Ultrasonic Transducer

BRS 8-10-

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Operational Scenario for Technology

US Embassy in Cuba to reduce staff indefinitely after 'health attacks'

By Laura Koran and Patrick Oppmann, CNN Updated 6:38 PM ET, Fri March 2, 2018

The American flag flies at the U.S. Embassy following a ceremony August 14, 2015, in Havana.

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Vergence Eye Movements Distinguish ‘Havana

Syndrome’ from mild TBI

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Colleagues

• Carey D. Balaban (University of Pittsburgh)• Michael E. Hoffer (University of Miami)• Bonnie Levin (University of Miami)

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Hardware and Software• Conducted with the I-PASTM (I-Portal® Portable

Assessment System, NKI Pittsburgh), a portable 3D head mounted display (HMD) system with integrated eye tracking technology.

– Sampling rate 100 Hz– Resolution < 0.1°

• All stimuli are created in a virtual environment.• Neuro Kinetics VEST™ software was used to run the

battery of tests and analyze the data.

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Prospects for Operational Monitoring of Eye and Pupil Movements

• Video-oculography permits unobtrusive monitoring of eye and pupil movements.

• Eye is imaged with digital video with infrared diode illumination

• Pupil detected and measured• Rotation of eyeball calculated with algorithms from center of

mass of pupil and iris features

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Prospects for Operational Monitoring of Eye and Pupil Movements

• Disconjugate Eye Movements (convergence and divergence)– Near response during convergence: Eyes converge, lens

curvature increases, and pupil constricts (e.g., focus on near or approaching target)

– Near response during divergence: Eyes diverge, lens curvature decreases, and pupil dilates (e.g., focus on far or receding target)

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Subjects• Controls: 51 normal subjects from University of Miami, Naval

Medical Center San Diego, and Madigan Army Medical Center

• mTBI patients: 18 subjects from University of Miami, Naval Medical Center San Diego, and Madigan Army Medical Center (17 with complete data)

• Havana Affected Subjects: 19 subjects with complete data

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I-PAS Vergence Tasks• Each eye viewed a white square with red center (0.1° visual

angle)– Step Binocular Disparity task : Disparity shifts in the horizontal

plane equivalent to symmetric, approximately ± 1.4° vergence eye movement steps.

– Pursuit Binocular Disparity task: Sinusoidal convergence (toward nose) and divergence (laterally) movement in the horizontal plane equivalent to symmetric, approximately ± 2.5° vergence pursuit at 10 sec/cycle.

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Control Subjects: Disparity Fusion Task

0 5 10 15 20 25 30 35 40

Ver

genc

e A

ngle

(deg

)

-3

-2

-1

0

1

2

3Binocular Disparity Responses (Control)

Time (s)

0 5 10 15 20 25 30 35 40

Nor

mal

ized

Pup

il A

rea

(% P

LR)

-40

-20

0

20

40

60

80

MP198

MP168

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Control Subjects: Disparity Pursuit Task

0 5 10 15 20 25 30

Ver

genc

e A

ngle

(deg

)

-4

-2

0

2

4Control Disparity Pursuit

Time (s)

0 5 10 15 20 25 30

Nor

mal

ized

Pup

il A

rea

(%P

LR)

-60

-40

-20

0

20

40

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Data Analysis • Pupillary light response test used to normalize pupil area

– 0.42 to 65.4 cd/m² homogeneous illumination steps• Vergence angle represented in degrees relative to zero at initial fixation• Nonlinear least squares regression estimated:

– Parameters for the vergence disparity response as a weighted sum of phasic

(𝑲𝑲𝒗𝒗𝒗𝒗𝒔𝒔𝒔𝒔−𝒕𝒕𝒗𝒗𝒔𝒔

𝒔𝒔+𝟏𝟏) and tonic ( 𝑲𝑲𝒗𝒗𝒗𝒗𝒔𝒔

−𝒕𝒕𝒗𝒗𝒔𝒔

𝟎𝟎.𝟐𝟐𝟐𝟐𝒔𝒔+𝟏𝟏) processes, with delay tv and gains Kvh and Kvl,

respectively, for converging and diverging half-cycles.– Based upon Sun et al. (1983), the pupil dynamics were fitted from the

vergence data by a transfer function for pupil motion, 𝑲𝑲𝒑𝒑𝒔𝒔−𝒕𝒕𝒑𝒑𝒔𝒔

𝟎𝟎.𝟐𝟐𝟐𝟐𝒔𝒔+𝟏𝟏, with delay tp

and gain Kp. – Symmetry tested by fitting separate gains for convergence versus divergence

and for pupil constriction versus dilatation.

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Analysis: Dynamic Modeling of Vergence and Pupil Responses

Data in Black, Modeled response in Grey

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Analysis: Affected Individual

Data in Black, Modeled response in Grey

Time (s)0 5 10 15 20 25 30 35 40

Nor

mal

ized

Pup

il A

rea

(% P

LR)

-50

-40

-30

-20

-10

0

10

20

30

40

50

Time (s)0 5 10 15 20 25 30 35 40

Verg

ence

Ang

le (d

eg)

-4

-3

-2

-1

0

1

2

3

4

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Step Binocular Disparity Test

Control Group Acute mTBI Havana Affected Tukey HSD (p<0.05) comparisons

Low Pass Convergence Modulation Depth (Kvl converge direction)

1.43 ± 0.09° 0.63 ± 0.16° 1.75 ± 0.14° C>mTBI; C=HA; HA>mTBI

Low Pass Divergence Modulation Depth (Kvl diverge direction)

1.50 ± 0.09° 0.70 ± 0.15° 1.74 ± 0.13° C>mTBI; C=HA; HA>mTBI

Vergence R-squared 0.84 ± 0.04 0.45 ± 0.07 0.80 ± 0.06 C>mTBI; C=HA; HA>mTBI

Pupil Constriction Gain (re: vergence)

7.0 ± 1.2%/° 6.5 ± 2.0%/° 18.6 ± 1.8%/° C=mTBI; HA>C; HA>mTBI

Pupil (re: Vergence) R-squared 0.39 ± 0.04 0.29 ± 0.05 0.61 ± 0.05 C=mTBI; HA>C; HA>mTBI

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Pursuit Binocular Disparity Test

Control Group

Acute mTBI Havana Affected

Tukey HSD (p<0.05) comparisons

Low Pass Convergence Modulation Depth (Kvl converge direction)

2.41 ± 0.10° 1.68 ± 0.19° 1.86± 0.16° C>mTBI; C>HA; HA=mTBI

Low Pass Divergence Modulation Depth (Kvl diverge direction)

2.32 ± 0.10° 1.73 ± 0.17° 1.74 ± 0.15° C>mTBI; C>HA; HA=mTBI

Vergence R-squared 0.91 ± 0.04 0.57 ± 0.05 0.82 ± 0.05 C>mTBI; C=HA; HA>mTBI

Pupil Constriction Gain (re: vergence)

7.7 ± 0.7%/° 5.8 ± 1.3%/° 10.5 ± 1.1%/° C=mTBI; C=HA; HA>mTBI

Pupil (re: Vergence) R-squared 0.54 ± 0.03 0.29 ± 0.05 0.58 ± 0.04 C>mTBI; C=HA; HA=mTBI

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Classification: Discriminant Analysis (Vergence Data Only)

Control (Predicted)

mTBI(Predicted)

Havana Affected (Predicted)

Control 50 1 0

mTBI 6 11 0

Havana Affected 0 0 19

• Stepwise discriminant analysis, Wilks-lamba criterion, Vergence test data only

• 92.0% of original grouped cases correctly classified• 89.7% correctly classified in 1-out cross-validation

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Conclusion• The Havana Affected, Acute mTBI and Control Subjects

can be distinguished objectively by performance in binocular disparity vergence tasks.

• The Havana Affected subjects show an abnormal convergence and near response behavior that is distinct from acute mTBI.

• Binocular disparity vergence testing with a modified software on a COTS device (NKI I-PAS®) is a fieldable test for Havana-type events