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over the PFC was lower during NVG use (25.7%–26.5%)   12.  Domenech P, Koechlin E. Executive control and decision-making
          during both marksmanship and cognitive tasks, suggesting in-  in the prefrontal cortex. Curr Opin Behav Sci. 2015;1:101–106.
          creased neurovascular coupling and metabolic demand. These   doi:10.1016/j.cobeha.2014.10.007
          findings demonstrate that NVG use poses persistent challenges   13.  Kennerley SW, Walton ME. Decision making and reward in fron-
          to operational performance, underscoring the need for fur-  tal cortex. Behav Neurosci. 2011;125(3):297–317. doi:10.1037/
                                                                a0023575
          ther research to develop strategies that mitigate these deficits   14.  Pinti P, Cardone D, Merla A. Simultaneous fNIRS and thermal in-
          during critical low-light tasks.                      frared imaging during cognitive task reveal autonomic correlates
                                                                of prefrontal cortex activity. Sci Rep. 2015;5:17471. doi:10.1038/
          Author Contributions                                  srep17471
          JT, CS, and JS conceived the study concept. JT, MS, OW, and   15.  Pinti P, Tachtsidis I, Hamilton A, et al. The present and future
                                                                use of functional near-infrared spectroscopy (fNIRS) for cogni-
          CU coordinated and collected the data, and RR analyzed the   tive neuroscience. Ann N Y Acad Sci. 2020;1464(1):5–29. doi:10.
          data. RR wrote the first draft, and all authors read and ap-  1111/nyas.13948
          proved the final manuscript.                       16.  Butterworth RF. Brain energy metabolism. In: Siegel GJ, Agra-
                                                                noff BW, Albers RW, et al., eds. Basic Neurochemistry: Molecular,
                                                                Cellular and Medical Aspects.  6th ed. Lippincott-Raven; 1999.
          Disclaimer                                            Accessed  April 8, 2025.  https://www.ncbi.nlm.nih.gov/books/
          The authors declare no financial interests or conflicts of inter-  NBK28124/
          est in the matter discussed in this manuscript.    17.  Suppan E, Pichler G, Binder-Heschl C, Schwaberger B,  Urlesberger
                                                                B. Three physiological components that influence regional cere-
          Disclosures                                           bral tissue oxygen saturation.  Front Pediatr. 2022;10:913223.
          The authors have nothing to disclose.                 doi:10.3389/fped.2022.913223
                                                             18.  Norrbrand L, Grönkvist M, Johannesson B, Rappe A, Sjölin J,
                                                                Eiken O. Increased metabolic demand during outside walking in
          Funding                                               darkness with no vision or with visual aid. Mil Med. 2023;188(9–
          This study was supported by EOTECH LLC. The funder had   10):e3118–e3126. doi:10.1093/milmed/usad082
          no role in study design, data collection, analysis, or prepara-  19.  Norrbrand L, Grönkvist M, Kounalakis S, Halvorsen K, Eiken
          tion of the manuscript.                               O.  Metabolic demands and kinematics during level walking in
                                                                darkness with no vision or with visual aid. Mil Med. 2023;188(7–
                                                                8):e2010–e2017. doi:10.1093/milmed/usac327
          References                                         20.  Graci V, Elliott DB, Buckley JG. Peripheral visual cues affect min-
           1.  Pinkus A, Task HL. Measuring observers’ visual acuity through   imum-foot-clearance during overground locomotion.  Gait Pos-
             night vision goggles. Defense Technical Information Center;1998.   ture. 2009;30(3):370–374. doi:10.1016/j.gaitpost.2009.06.011
             Accession No. ADA430646. Accessed December 18, 2025. https://  21.  Marigold DS, Patla AE. Visual information from the lower visual
             apps.dtic.mil/sti/tr/pdf/ADA430646.pdf             field is important for walking across multi-surface terrain. Exp
           2.  Task HL, Donohue-Perry MM, Davis SA. Visual acuity versus   Brain Res. 2008;188(1):23–31. doi:10.1007/s00221-008-1335-7
             field-of-view and light level for night vision goggles (NVG).   22.  Taneda K, Mani H, Kato N, et al. Effects of simulated peripheral
             Defense  Technical  Information  Center;  1994.  Accession  No.   visual field loss on the static postural control in young healthy
             ADA284750.  Accessed May 6, 2025.  https://apps.dtic.mil/sti/  adults.  Gait Posture. 2021;86:233–239. doi:10.1016/j.gaitpost.
             citations/ADA284750                                2021.03.011
           3.  Wells KH, Wagner H, Reich LN, Hardigan PC. Military readi-  23.  Toet A, Jansen SEM, Delleman NJ. Effects of field-of-view restric-
             ness: an exploration of the relationship between marksmanship   tions on speed and accuracy of manoeuvring. Percept Mot Skills.
             and visual acuity. Mil Med. 2009;174(4):398–402. doi:10.7205/  2007;105(3 Pt 2):1245–1256. doi:10.2466/pms.105.4.1245-1256
             MILMED-D-00-6408                                24.  Weinand FS, Rommel S. Influence of phosphor screen color
           4.  Barrett JM, Healey LA, Fischer SL, Callaghan JP. Cervical spine   on performance with modern night vision goggles. In: Electro-
             motion requirements from night vision goggles may play a greater   Optical and Infrared Systems: Technology and Applications XVI.
             role in chronic neck pain than helmet mass properties. Hum Fac-  Proc. SPIE. October 9, 2019;11159:72–77. Strasbourg, France.
             tors. 2024;66(2):363–376. doi:10.1177/00187208221090689  doi:10.1117/12.2532485. Accessed: August 15, 2025. https://www.
           5.  Crowley JS. Human factors of night vision devices: anecdotes from   spiedigitallibrary.org/conference-proceedings-of-spie/11159/
             the field concerning visual illusions and other effects. National   111590C/Influence-of-phosphor-screen-color-on-performance-
             Technical Reports Library; 1991. Accession No. ADA237641. Ac-  with-modern-night/10.1117/12.2532485.full
             cessed December 18, 2025. https://ntrl.ntis.gov/NTRL/dashboard/   25. Angel HA, Massel LJ. Examination of the effect of night vision
             searchResults/titleDetail/ADA237641.xhtml          devices on rifle target engagement accuracy during bush lane en-
           6.  Gawron VJ, Priest JE. Night vision goggles lessons learned. Proceed-  gagements. Defence Research and Development Canada (DRDC)
             ings of the Human Factors and Ergonomics Society Annual Meet-  Toronto; July 2005.  Report No. DRDC  Toronto CR 2005-
             ing. 2001;45(2):176–180. doi:10.1177/154193120104500238  069.  Accessed December 19, 2025.  https://www.researchgate.
           7.  Manton AG.  Night vision goggles, human factors aspects—a   net/publication/268042165_DRDC_Toronto_CR-2005-069_
             questionnaire survey of helicopter aircrew. R Army Med Corps.   EXAMINATION_OF_THE_EFFECT_OF_NIGHT_VISION_
             2000;146(1):22–27. doi:10.1136/jramc-146-01-05     DEVICES_ON_RIFLE_TARGET_ENGAGEMENT_ACCURACY_
           8.  Parush A, Gauthier MS, Arseneau L, Tang D. The human factors   DURING_BUSH_LANE_ENGAGEMENTS
             of night vision goggles: perceptual, cognitive, and physical fac-  26.  Alfano PL, Michel GF. Restricting the field of view: perceptual
             tors. Rev Hum Factors Ergon. 2011;7(1):238–279. doi:10.1177/   and performance effects. Percept Mot Skills. 1990;70(1):35–45.
             1557234X11410392                                   doi:10.2466/pms.1990.70.1.35
           9.  Norrbrand L, Johannesson B, Grönkvist M. Increased metabolic   27.  Herff C, Heger D, Fortmann O, Hennrich J, Putze F, Schultz T.
             demand during nighttime walking in hilly forest terrain while   Mental workload during n-back task—quantified in the pre-
             wearing night vision goggles.  Mil Med. 2025;190(1–2):e211–  frontal cortex using fNIRS.  Front Hum Neurosci. 2014;7:935.
             e220. doi:10.1093/milmed/usae317                   doi:10.3389/fnhum.2013.00935
          10.  Gauthier MS, Parush A, Macuda T, Tang D, Craig G, Jennings S.   28.  Causse M, Chua Z, Peysakhovich V, Del Campo N, Matton N.
             The impact of night vision goggles on way-finding performance   Mental workload and neural efficiency quantified in the prefron-
             and the acquisition of spatial knowledge. Hum Factors. 2008;50   tal cortex  using fNIRS.  Sci Rep. 2017;7(1):5222. doi:10.1038/
             (2):311–321. doi:10.1518/001872008X288295          s41598-017-05378-x
          11.  Salazar G, Temme L, Antonio JC. Civilian use of night vision gog-  29.  Chen LC, Sandmann P, Thorne JD, Herrmann CS, Debener S. As-
             gles. Aviat Space Environ Med. 2003;74(1):79–84.   sociation of concurrent fNIRS and EEG signatures in response to

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