region, especially on the left side. Both groups did however
show an increase in central and posterior activation. It appears
that the Long Training Group was able to handle the task with
less workload. The behavioral data showed that the Long
Training Group performed the task better after training while
the opposite for the Short Training Group. Thus, changes in
behavioral data had corresponding changes in neural data.
Executive functions (e.g., information processing,
sequencing, decision making, planning, etc.) are associated
with optimal cognitive performance and are also known to
contribute to corporate work tasks . In the present
discussion we have demonstrated that independent computer-
based brain assessment (DANA) and training (BrainHQ) could
provide a scalable solution to evaluate and develop executive
functions, functions that are malleable throughout the life-
span. BrainHQ training increased brain processing speed as
measured by the DANA Standard battery on a variety of
neurobehavioral tasks. Further, the independently developed
DANA Standard battery  and BrainHQ training program 
cross-validate their respective evaluation and training of brain
speed. The further elaboration of the neuroplastic mechanisms
that may underly these behavioral changes appear to be
clarified by an electrophysiological measure of workload. The
next stage of research in this area will include greater rigor
along several dimensions such as: more subjects, randomized
assignment to groups with an active control group, detailed
statistical analysis of EEG data, parameterization of where the
workload EEG measure is appropriate (as well as other
measures such as attention or memory), and so on. This
information will further optimize and personalize brain
Overall, the corporate study demonstrated positive benefits
for the group of participants in several areas of neurocognitive
performance. Further, significantly higher gains were recorded
in the highest training group with moderate gains in the lower
training group. With additional EEG-based analysis, we will
be able to refine our understanding into the mechanisms of
neuroplasticity that occurred as a direct result of our program.
More importantly, with this study, we demonstrate that a
cognitive state (e.g., workload performance) could support the
further extension of real-time brain performance evaluations
in the corporate environment. The loop of “measure-boost-
track” was shown to be effective both qualitatively and
quantitatively – and worthwhile results were seen with modest
training, gains in attention, executive control and decision-
making systems were present. Finally, while the study was not
designed to elucidate the “dose response” of cognitive training
– there does appear to be some value in extending further
research in determining the dose-response curve for brain
training benefits as well as the extension of the nature of the
benefits to specific corporate tasks (e.g., bookkeeping, digital
EEG bands were defined as follows: delta [1, 3], theta [4,
7], alpha [8, 15], beta [16, 31], gamma [32, 40]; all intervals
are closed on both ends.
We would like to recognize the efforts of Fujitsu
Laboratories of America, Inc. for sponsoring the study. In
addition, we would like to thank the executive team at
Intheon.io for assistance in the analysis of the
electrophysiological data and executives at Anthrotronix and
Posit Science for in-depth guidance and support on the use of
their respective products to support the study.
 F. Schmidt, "The role of general cognitive ability and job performance:
why there cannot be a debate," Human Performance, vol. 15, pp. 187-
 J. Edwards et al., “Speed of processing training results in lower risk of
dementia,” Alzheimer’s Dementia, vol. 3, pp. 603–611, 2017.
 A. Lampit, H. Hallock, and M. Valenzuela, “Computerized cognitive
training in cognitively healthy older adults: a systematic review and
meta-analysis of effect modifiers,” PLoS Med., vol. 11, e1001756,
 I. Coffman et al., “Computerized cognitive testing norms in active-duty
military personnel: potential for contamination by psychologically
unhealthy individuals,” Applied Neuropsychology: Adult, vol. 25, pp.
 AnthroTronix, DANA: the brain thermometer, user guide v6 for iOS.
Silver Spring, MD: Author, 2018.
 N. Bigdely-Shamlo et al., “The PREP pipeline: standardized
preprocessing for large-scale EEG analysis.” Frontiers in
Neuroinformatics, vol. 9, pp. 16, 2015.
 L. Prinzel et al., "A closed-loop system for examining
psychophysiological measures for adaptive task allocation," The
International Journal of Aviation Psychology, vol. 10, pp. 393-410,
 BrainHQ from Posit Science. “BrainHQ from Posit Science. Internet:
https://www.brainhq.com/ [Accessed: Feb. 02, 2019].
Notes: 1 Subjects were recruited for the study after attending a research
briefing by two members of the Platypus Institute research team. The
participating organizations provided written assurances that all reasonable
efforts would be made to keep their individual performance and EEG data
anonymous. Subjects provided informed consent prior to the start of the
study and could terminate their participation without consequence. Subjects
received modest compensation for their participation.