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signal tasks measure controlled inhibition through volitional   a cognitive surveillance program. Special Operations cognitive
          stopping power. 16,17  Inhibitory control has Special Operations   assessments require more speed both to limit the burden on
          applications through shoot/don’t-shoot decisions, but the sim-  Operator time to complete the assessment and reduced logisti-
          ple go/no-go tasks do not adequately represent additional com-  cal burden to process the outcome.
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          ponents inherent to a shoot/don’t-shoot decision.  Specifically,
          the subjective nature of a threat assessment incorporates ad-  Taken together, these three requirements—operational rele-
          ditional interpretation steps in decision-making beyond what   vance, optimization, and speed—identify the core characteris-
          the simple stimuli present during laboratory inhibition tasks.   tics of a Special Operations cognitive assessment. They define
          The easiest intervention involves using more operationally rel-  the purpose of any evaluation and the lens through which
          evant stimuli to help the outcome connect to impact, although   any test should be evaluated. Even so, these criteria are not
          the paradigm itself will better resemble operational decisions   inherently a cognitive assessment. As such, the discussion shall
          as further sensorimotor concerns can be integrated, such as   now move to a cognitive assessment that could meet all three
          the use of a firearm. In short, many laboratory- designed, go/  criteria.
          no-go tasks are effective measurements of the cognitive ability
          in question, yet these tasks do not necessarily convey opera-  Developing a Special Operations
          tional relevance without further manipulation. 19
                                                             Cognitive Assessment
          Optimization is the second major requirement of cognitive as-  Cognitive assessments are often built upon response time
          sessments in Special Operations. This purpose carries several   tasks, and although there are more complex methods avail-
          implications for both the type of assessment and its application.   able, this simple approach can be employed to much greater
          Foremost, optimization requires a task without robust ceiling   effect than currently used in the  ANAM or similar tasks.
          effects, or else the room for improvement cannot be properly   Therefore, the base task will resemble the go/no-go construct
          documented. The MoCA example is excellent in illustrating   in the ANAM and many other cognitive batteries. However,
          the problem. It is a cognitive assessment, yes, but it is designed   the stimuli can be altered to depict pictures of threatening and
          to measure the depth of impairment—not optimal function-  non- threatening stimuli rather than red and green squares.
          ing. Special Operations may require a higher level of cognitive   Whereas the latter shapes require an arbitrary designation of
          performance than typical military duties, and, indeed, the ex-  no-go and go stimuli, threat images can align with threat as-
          isting normative data support a higher level of baseline cogni-  sessment as expected based on the unit mission or rules of
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          tive functions among Special Operations personnel.  In turn,   engagement. This simple stimulus switch makes the response
          this need requires a test wherein it is exceptionally difficult to   time task more operationally relevant, which satisfies the first
          achieve a maximum score. A related concern is thus that cogni-  criterion  of  a  Special  Operations  cognitive  assessment—go/
          tive assessments in Special Operations should be aligned with   no-go becomes shoot/don’t-shoot, and arbitrary assignment
          cognitive enhancement more than cognitive decline. 20,21  Cog-  for no-go criteria can be directly replaced by rules of engage-
          nitive decline requires a simpler test to document the depth   ment during a threat assessment.
          of impairment, whereas optimization requires a more diffi-
          cult test to stratify differences among high performers. This   Optimization could be satisfied by a response time task through
          approach further differentiates a Special Operations cognitive   faster correct responses to threat stimuli and fewer errors as
          assessment from typical neurocognitive assessments such as   responses to non-threatening stimuli. A hit factor approach
          the ANAM. A given test may be useful in exploring baseline   (i.e., using speed divided by accuracy as an outcome measure)
          functioning and impairments due to traumatic brain injury or   would likewise be another step forward toward optimization
          other blast exposure, but measuring decline and achieving op-  since it would incorporate both speed and accuracy into a uni-
          timal performance are functionally different purposes. A Spe-  fied construct. Still, this approach would not be the best avail-
          cial Operations test requires something that can both identify   able option. Instead, the millisecond-accurate response timing
          high performers and monitor potential decline.     can support drift diffusion modeling (DDM). 24,25  Rather than
                                                             simply presenting a response time, DDM is a cognitive com-
          The third major requirement is speed, which identifies the   putational modeling approach to decision-making that identi-
          logistical and pragmatic concerns for any Special Operations   fies more precise parameters than the speed or accuracy of a
          cognitive assessment. Consider the stop signal task as an excel-  decision. These parameters can include drift rate, or the rate
          lent method of capturing inhibitory control and impulsive be-  of information processing; decision threshold, or how much
          haviors, where a signal begins as the “go signal” that warrants   information an individual needs to make a decision; starting
          a behavioral response before quickly changing into a “stop sig-  bias, or the individual differences in willingness to make some
          nal” that demands the participant withhold a response. This   given response; and, non-decisional factors, such as motor re-
          paradigm is commonly used to measure response inhibition   sponse speed. Accuracy and average speed are still captured,
          because an individual initiates a motor response and then must   but these additional parameters provide further insight into
          quickly try to stop mid-action. Even though it is superior to   individual decisions.
          the go/no-go task when measuring volitional stopping ability,
          the measurement itself is often quite complicated with many   For example, consider two Operators who might make a
          nuanced, but important concerns that can significantly impact   threat assessment within 500 milliseconds (Figure 1). A sim-
          the outcome. 22,23  Measuring an outcome score may require   ple response time cannot differentiate their decisions param-
          hundreds of trials and deliver only a single data point. From a   eters. However, one Operator may accumulate information
          military evaluation perspective, this process is both inefficient   much faster while setting a higher threshold to make a positive
          in Operator time required to collect the data and in analyst   threat identification, whereas the other Operator may accumu-
          time to properly process the data. Both of these apply to a sin-  late information more slowly while requiring less information
          gle assessment, let alone the multiple assessments required for   to make a response. Slower information accumulation and a

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