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AAWSAP DIRD, Technological Approaches to Controlling External Devices, March 2010

U.S. Department of War · 2010-03-23 · 36 pages · text from the file's own layer

This Defense Intelligence Reference Document was produced by the Defense Intelligence Agency's Defense Warning Office under the Advanced Aerospace Weapon System Applications program and dated 23 March 2010. It surveys noninvasive and invasive brain-machine interface technologies, including EEG, MEG, fMRI, NIRS and implanted electrode arrays, that could control external devices without limb-operated interfaces. It concludes that noninvasive electrical monitoring is the most promising near-term approach. For the long term it favors invasive single-neuron cortical connections.

From the source:Release of 2026-09-18 Incident: 3/23/10, Las Vegas, Nevada. Released with redactions. This document is a Defense Intelligence Reference Document (DIRD), a technical reference format used by the Defense Intelligence Agency (DIA) to capture baseline knowledge on a specific topic for later analytic use. DIRDs are best understood as reference and synthesis products rather than as original research. It is one of 38 DIRDs produced under the Advanced Aerospace Weapon System Applications Program (AAWSAP) between 2009 and 2011. Because AAWSAP’s scope permitted a broad range of supporting topics, not every DIRD in the series directly concerns aerospace systems or future threat assessment. The following summary reflects the DIRD’s scope and framing at the time of writing and should not be read as implying current validation of the concepts discussed. This DIRD surveys brain-machine interface technologies intended to allow users to control external devices without conventional manual controls, and it evaluates both noninvasive and invasive approaches for turning neural or related physiological signals into usable commands. The report reviews the underlying neural signals, distinguishes between open- and closed-loop control systems, and examines technologies including scalp-based electrical recording, magnetic and imaging-based methods, and implanted cortical interfaces, with particular attention to bandwidth, response time, signal quality, and practical usability. It concludes that, in the near term, the most practical systems are likely to be noninvasive electrical approaches that draw heavily on muscle and neural signals, while longer-term high-bandwidth control would likely require more advanced invasive interfaces capable of robust two-way communication with individual neurons. The document presents thought-based control of external devices as a research field with plausible assistive and specialized applications, while emphasizing that naturalistic, high-performance control remained constrained by major technical and physiological limits.

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Figure 9. Image Distortion and Custom Microwire Electrode Assembly to Improve It. (A) Image distortion
induced by metallic bone screws and connectors. No feature can be identified. Spin echo sequence : TR=ls,
TE=6.75ms, NT=4, Matrix=128x128. FOV=60x60mm 2 . Experiment time=512 s. (B) (Top) Microelectrode array
used in the study. (Bottom) Close-up of the connector piece that was constructed for multiple
connection/disconnection cycles. Interface piece to connect the nano -miniature Omnetics connector of the head
stage with the head-cap-embedded custom connector for extracellular multiun it activity monitoring. (C)
Improvement in image quality after replacement of bone screws and connectors with compatible equivalents.
TR=3500ms, TE=20ms, averages=2, acquisition matrix=128x96, FOV=21x21mm 2, slice thickness=0.4mm, total
acquisition time (TA)=672sec, resolutlon=164μmx220μm . (Reference 51)
With this system, the authors successfully recorded sponta neous extracellular multiunit
neural activity in 16 electrodes (four in each animal) for 6 weeks post- implant. Of those
16 electrodes, 12 registered data verifying distinct neural activity prior to MR exposure.
To determine the overall effectiveness and feasibility of th is procedure, a tissues
damage assessment associated with the MRI was conducted by utilizing T2 maps from
tissue dissections (Figure 10). Thorough examination of the electrode location and
resultant t issue survivability revealed little damage from the operation of t he BMI. The
locations of t he microwires are visible as dark lines in the image (indicated by ova ls).
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Figure 10. Example of T2 Variability, (A) T2 maps from MRI rat 16 at day 7 post-implant show elevated values
proximal to the Implant location (circled). (B) T2 maps from MRI rat 18 at day 30 post-implant shows no difference
between the implant and control hemispheres. TR=3500ms, TE=l0, 20, 30, 40, 50 , 60ms, averages=2, acquisition
matrix=128x96, FOV=21x21mm 2, slice thickness= 0.4mm, TA=75mins, resolution=164μmx220μm. The ovals
ind icate the site of electrodes . (Reference 51)
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Official release, from the pursue collection. The PDF is mirrored here; the original link is above. 36 pages are in the text index: search them above, or from the library's search.