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Details

Autor(en) / Beteiligte
Titel
Microstates in complex and dynamical environments: Unraveling situational awareness in critical helicopter landing maneuvers
Ist Teil von
  • Human brain mapping, 2021-07, Vol.42 (10), p.3168-3181
Ort / Verlag
Hoboken, USA: John Wiley & Sons, Inc
Erscheinungsjahr
2021
Quelle
Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals
Beschreibungen/Notizen
  • Understanding decision‐making in complex and dynamic environments is relevant for designing strategies targeting safety improvements and error rate reductions. However, studies evaluating brain dynamics in realistic situations are scarce in the literature. Given the evidence that specific microstates may be associated with perception and attention, in this work we explored for the first time the application of the microstate model in an ecological, dynamic and complex scenario. More specifically, we evaluated elite helicopter pilots during engine‐failure missions in the vicinity of the so called “dead man's curve,” which establishes the operational limits for a safe landing after the execution of a recovery maneuver (autorotation). Pilots from the Brazilian Air Force flew a AS‐350 helicopter in a certified aerodrome and physiological sensor data were synchronized with the aircraft's flight test instrumentation. We assessed these neural correlates during maneuver execution, by comparing their modulations and source reconstructed activity with baseline epochs before and after flights. We show that the topographies of our microstate templates with 4, 5, and 6 classes resemble the literature, and that a distinct modulation characterizes decision‐making intervals. Moreover, the source reconstruction result points to a differential activity in the medial prefrontal cortex, which is associated to emotional regulation circuits in the brain. Our results suggest that microstates are promising neural correlates to evaluate realistic situations, even in a challenging and intrinsically noisy environment. Furthermore, it strengthens their usage and expands their application for studying cognition under more realistic conditions. Microstates are feasible neural correlates in challenging and intrinsically noisy environments. Microstate templates recovered in a challenging experimental condition resemble previous reports in controlled environments. Microstate dynamics is modulated by cognitive activities. In particular, piloting activity during the maneuver to recover a falling helicopter does not modulate Microstate D, traditionally associated with the cognitive control and attention networks, but Microstate F, which involves the medial prefrontal cortex. This microstate class is potentially associated with the emotional regulation network.

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