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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.

  • p. 36 …50 Martinez Santiesteban FM, Swanson SD, Noll DC, Anderson DJ. Magnetic resonance compatibility of multichannel silicon…
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based on skin movement using technology similar to the operation of GPS. This system
would have the same inherent problem of signal conduction through tissue from all
directions. The key indicator of a future advance in EEG technology would be a study
showing noninvasive spiking or ERP signal detection from a coherent group of less than
10,000 neurons. Until progress in localization on this order is demonstrated, EEG-only
devices will remain low bit rate application technologies.
EEG-only sensor control of devices has been pursued with the supposition that signal
transmission directly from the motor cortex will outperform conventional mechanical
operation because the signal transmission delay between the neocortex and muscles in
the extremities will be augmented via a physical circuit. While this is true, the inherent
assumption that complex mechanical interface operation can be replaced with a 1
bit/second low-delay control pathway is incorrect for naturalistic environments. The
millions of channels of two-way communication between the extremities and the brain
naturally present will control naturalistic mechanical devices far better, and provides
the ability to react to an ever-changing environment. Adding significant computer
control and relegating the motor cortex to a supervisory role of low data bandwidth
could have benefits and is a possible path to real-world improved reaction time
application. Also beneficial to reaction time is the combined EMG EEG devices
mentioned above since the pathways between the brain and facial muscles are far
shorter than those to the extremities.
NONINVASIVE BOLD- BASED DEVICES
The detection resolution of hemodynamic responses using fMRI and NIRS type
technologies is expected to improve in the near, medium, and far terms. NIRS has been
deployed in naturalistic experiments, specifically, automobile driving, and it is
reasonable to envision such systems becoming small enough to wear in the medium to
far term. The limiting issue with BOLD technologies is that the detectable response is
delayed several seconds from neuronal firing, greatly limiting the cognitive control
applications available to these technologies. Progress in localization to below 0.5 mm 3
in a mobile device could indicate the possibility of high bit transfer rates with the use of
state vector mach ines, albeit with the inherent delay of the physiology. Until the
localization and portability issues are addressed in tandem, BOLD-only devices are
unlikely to be used for commercial cognitive control interfaces.
The vast majority of experiments in fMRI utilize the General Linear Model (GLM) and
something akin to a canonical hemodynamic response. There exists significant
physiological noise in these data analyses that are traditionally filtered out. The
differential results from Independent Component Analysis (ICA) and GLM analysis of the
same data sets indicate that there may be additional circulatory response mechanisms
with faster onsets than typical BOLD. Future studies indicating that filtering or analysis
methods may be ignoring important detectable signals that have inherently faster
response times would provide a breakthrough path for hemodynamic response
technologies. The current research to monitor on this matter is the technology known
as Inverse MRI which can capture high temporal resolution (100 frames a second for
single slices) T2* variations.
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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.