Influences of age, mental workload, and flight experience on cognitive performance and prefrontal activity in private pilots: a fNIRS study
The effects of aging on cognitive performance must be better understood, especially to protect older individuals who are engaged in risky activities (e.g. aviation). Current literature on executive functions suggests that brain compensatory mechanisms may counter cognitive deterioration due to aging...
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| Vydané v: | Scientific reports Ročník 9; číslo 1; s. 7688 |
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| Hlavní autori: | , , |
| Médium: | Journal Article |
| Jazyk: | English |
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Nature Publishing Group UK
22.05.2019
Nature Publishing Group |
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| ISSN: | 2045-2322, 2045-2322 |
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| Abstract | The effects of aging on cognitive performance must be better understood, especially to protect older individuals who are engaged in risky activities (e.g. aviation). Current literature on executive functions suggests that brain compensatory mechanisms may counter cognitive deterioration due to aging, at least up to certain task load levels. The present study assesses this hypothesis in private pilots engaged in two executive tasks from the standardized CANTAB battery, namely Spatial Working Memory (SWM) and One Touch Stockings of Cambridge (OTS). Sixty-one pilots from three age groups (young, middle-aged, older) performed these two tasks from low to very high difficulty levels, beyond those reported in previous aging studies. A fNIRS headband measured changes in oxyhemoglobin (HbO2) in the prefrontal cortex. Results confirmed an overall effect of the difficulty level in the three age groups, with a decline in task performance and an increase in prefrontal HbO2 signal. Performance of older relative to younger pilots was impaired in both tasks, with the greatest impairment observed for the highest-load Spatial Working Memory task. Consistent with this behavioral deficit in older pilots, a plateau of prefrontal activity was observed at this highest-load level, suggesting that a ceiling in neural resources was reached. When behavioral performance was either equivalent between age groups or only slightly impaired in the older group, there were not any age-related differences in prefrontal activity. Finally, older pilots with extensive flying experience tend to show better preserved spatial working memory performance when compared to mildly-experienced of the same age group. The present findings are discussed in the frames of HAROLD and CRUNCH theoretical models of cognitive and neural aging, evoking the possibility that piloting expertise may contribute to preserve executive functions throughout adulthood. |
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| AbstractList | The effects of aging on cognitive performance must be better understood, especially to protect older individuals who are engaged in risky activities (e.g. aviation). Current literature on executive functions suggests that brain compensatory mechanisms may counter cognitive deterioration due to aging, at least up to certain task load levels. The present study assesses this hypothesis in private pilots engaged in two executive tasks from the standardized CANTAB battery, namely Spatial Working Memory (SWM) and One Touch Stockings of Cambridge (OTS). Sixty-one pilots from three age groups (young, middle-aged, older) performed these two tasks from low to very high difficulty levels, beyond those reported in previous aging studies. A fNIRS headband measured changes in oxyhemoglobin (HbO2) in the prefrontal cortex. Results confirmed an overall effect of the difficulty level in the three age groups, with a decline in task performance and an increase in prefrontal HbO2 signal. Performance of older relative to younger pilots was impaired in both tasks, with the greatest impairment observed for the highest-load Spatial Working Memory task. Consistent with this behavioral deficit in older pilots, a plateau of prefrontal activity was observed at this highest-load level, suggesting that a ceiling in neural resources was reached. When behavioral performance was either equivalent between age groups or only slightly impaired in the older group, there were not any age-related differences in prefrontal activity. Finally, older pilots with extensive flying experience tend to show better preserved spatial working memory performance when compared to mildly-experienced of the same age group. The present findings are discussed in the frames of HAROLD and CRUNCH theoretical models of cognitive and neural aging, evoking the possibility that piloting expertise may contribute to preserve executive functions throughout adulthood. The effects of aging on cognitive performance must be better understood, especially to protect older individuals who are engaged in risky activities (e.g. aviation). Current literature on executive functions suggests that brain compensatory mechanisms may counter cognitive deterioration due to aging, at least up to certain task load levels. The present study assesses this hypothesis in private pilots engaged in two executive tasks from the standardized CANTAB battery, namely Spatial Working Memory (SWM) and One Touch Stockings of Cambridge (OTS). Sixty-one pilots from three age groups (young, middle-aged, older) performed these two tasks from low to very high difficulty levels, beyond those reported in previous aging studies. A fNIRS headband measured changes in oxyhemoglobin (HbO2) in the prefrontal cortex. Results confirmed an overall effect of the difficulty level in the three age groups, with a decline in task performance and an increase in prefrontal HbO2 signal. Performance of older relative to younger pilots was impaired in both tasks, with the greatest impairment observed for the highest-load Spatial Working Memory task. Consistent with this behavioral deficit in older pilots, a plateau of prefrontal activity was observed at this highest-load level, suggesting that a ceiling in neural resources was reached. When behavioral performance was either equivalent between age groups or only slightly impaired in the older group, there were not any age-related differences in prefrontal activity. Finally, older pilots with extensive flying experience tend to show better preserved spatial working memory performance when compared to mildly-experienced of the same age group. The present findings are discussed in the frames of HAROLD and CRUNCH theoretical models of cognitive and neural aging, evoking the possibility that piloting expertise may contribute to preserve executive functions throughout adulthood. The effects of aging on cognitive performance must be better understood, especially to protect older individuals who are engaged in risky activities (e.g. aviation). Current literature on executive functions suggests that brain compensatory mechanisms may counter cognitive deterioration due to aging, at least up to certain task load levels. The present study assesses this hypothesis in private pilots engaged in two executive tasks from the standardized CANTAB battery, namely Spatial Working Memory (SWM) and One Touch Stockings of Cambridge (OTS). Sixty-one pilots from three age groups (young, middle-aged, older) performed these two tasks from low to very high difficulty levels, beyond those reported in previous aging studies. A fNIRS headband measured changes in oxyhemoglobin (HbO2) in the prefrontal cortex. Results confirmed an overall effect of the difficulty level in the three age groups, with a decline in task performance and an increase in prefrontal HbO2 signal. Performance of older relative to younger pilots was impaired in both tasks, with the greatest impairment observed for the highest-load Spatial Working Memory task. Consistent with this behavioral deficit in older pilots, a plateau of prefrontal activity was observed at this highest-load level, suggesting that a ceiling in neural resources was reached. When behavioral performance was either equivalent between age groups or only slightly impaired in the older group, there were not any age-related differences in prefrontal activity. Finally, older pilots with extensive flying experience tend to show better preserved spatial working memory performance when compared to mildly-experienced of the same age group. The present findings are discussed in the frames of HAROLD and CRUNCH theoretical models of cognitive and neural aging, evoking the possibility that piloting expertise may contribute to preserve executive functions throughout adulthood.The effects of aging on cognitive performance must be better understood, especially to protect older individuals who are engaged in risky activities (e.g. aviation). Current literature on executive functions suggests that brain compensatory mechanisms may counter cognitive deterioration due to aging, at least up to certain task load levels. The present study assesses this hypothesis in private pilots engaged in two executive tasks from the standardized CANTAB battery, namely Spatial Working Memory (SWM) and One Touch Stockings of Cambridge (OTS). Sixty-one pilots from three age groups (young, middle-aged, older) performed these two tasks from low to very high difficulty levels, beyond those reported in previous aging studies. A fNIRS headband measured changes in oxyhemoglobin (HbO2) in the prefrontal cortex. Results confirmed an overall effect of the difficulty level in the three age groups, with a decline in task performance and an increase in prefrontal HbO2 signal. Performance of older relative to younger pilots was impaired in both tasks, with the greatest impairment observed for the highest-load Spatial Working Memory task. Consistent with this behavioral deficit in older pilots, a plateau of prefrontal activity was observed at this highest-load level, suggesting that a ceiling in neural resources was reached. When behavioral performance was either equivalent between age groups or only slightly impaired in the older group, there were not any age-related differences in prefrontal activity. Finally, older pilots with extensive flying experience tend to show better preserved spatial working memory performance when compared to mildly-experienced of the same age group. The present findings are discussed in the frames of HAROLD and CRUNCH theoretical models of cognitive and neural aging, evoking the possibility that piloting expertise may contribute to preserve executive functions throughout adulthood. |
| ArticleNumber | 7688 |
| Author | Rémy, Florence Chua, Zarrin K. Causse, Mickaël |
| Author_xml | – sequence: 1 givenname: Mickaël surname: Causse fullname: Causse, Mickaël email: mickael.causse@isae.fr organization: ISAE-SUPAERO, Université de Toulouse – sequence: 2 givenname: Zarrin K. surname: Chua fullname: Chua, Zarrin K. organization: ISAE-SUPAERO, Université de Toulouse – sequence: 3 givenname: Florence surname: Rémy fullname: Rémy, Florence organization: Université de Toulouse, UPS, Centre de Recherche Cerveau et Cognition, CNRS, Cerco |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/31118436$$D View this record in MEDLINE/PubMed https://hal.science/hal-04782524$$DView record in HAL |
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| Cites_doi | 10.1093/geronb/gbr031 10.1016/j.neuropsychologia.2015.03.013 10.1016/j.neurobiolaging.2011.06.005 10.1016/j.neuroimage.2004.02.015 10.1006/nimg.2002.1280 10.1207/S15327108IJAP1201_2 10.1016/S0079-7421(08)60041-9 10.1117/3.2219603.ch8 10.1016/0028-3932(90)90137-D 10.1037/0882-7974.9.1.134 10.1111/j.1528-1167.2008.01711.x 10.1038/s41598-017-05378-x 10.1007/978-1-4615-3404-4_17 10.1371/journal.pone.0046210 10.3389/fnhum.2018.00187 10.1523/JNEUROSCI.23-08-03295.2003 10.1016/j.neurobiolaging.2010.10.014 10.1111/1467-8721.00184 10.3758/BF03210925 10.1037/0882-7974.16.1.31 10.1016/j.neuroimage.2015.10.030 10.1073/pnas.0908238106 10.1097/00001756-199701200-00033 10.1177/0018720816662543 10.1146/annurev.psych.59.103006.093656 10.2466/pms.1997.84.3c.1187 10.1017/S1355617798455073 10.1249/00005768-198704000-00018 10.1016/j.bbr.2010.02.027 10.1016/j.neuroimage.2009.11.050 10.1016/j.jneumeth.2009.11.010 10.1037/0882-7974.23.1.79 10.1016/j.biopsycho.2016.10.002 10.1037/0882-7974.17.1.85 10.1016/j.neurol.2008.03.021 10.1016/S0028-3932(03)00091-5 10.1111/j.2517-6161.1995.tb02031.x 10.1080/13825585.2011.586018 10.1371/journal.pone.0156512 10.1016/j.neuroimage.2003.07.021 10.1016/j.neulet.2005.09.025 10.1076/jcen.25.2.242.13639 10.1016/j.ijpsycho.2005.10.003 10.1162/jocn.2009.21230 10.1093/cercor/bhh032 10.1027/2192-0923/a000102 10.1016/j.aap.2010.11.023 10.1016/j.neuroimage.2009.03.058 10.1080/10508414.2011.582441 10.1006/nimg.1998.0404 10.1037/1076-898X.1.4.305 10.1016/j.bandc.2007.07.006 10.1016/S0278-2626(01)80043-9 10.1016/j.bandl.2011.11.002 10.1016/j.bbr.2013.10.042 10.1098/rstb.1982.0082 10.1016/j.neuroimage.2010.03.020 10.3389/fnagi.2014.00009 10.1111/j.1467-8721.2008.00570.x 10.1007/s00420-013-0901-x 10.3389/neuro.09.001.2008 10.1016/j.tics.2012.04.005 10.1007/s11065-014-9270-9 10.1076/anec.8.4.269.5641 10.1016/j.neuroimage.2011.06.023 10.1207/s15327108ijap0101_2 10.1111/j.0963-7214.2004.01502009.x 10.1007/s00426-014-0563-7 10.1037/0033-2909.122.3.231 10.1016/j.neuroimage.2010.12.075 10.1117/1.JBO.18.10.105004 10.3102/10769986027001077 10.3389/fnagi.2014.00303 10.1016/j.neurobiolaging.2003.09.005 10.1207/s15327043hup1803_3 10.1016/j.neuroimage.2013.04.082 10.1203/00006450-199605000-00025 |
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| References | AyazHOptical brain monitoring for operator training and mental workload assessmentNeuroimage201259364710.1016/j.neuroimage.2011.06.023 LuC-MUse of fNIRS to assess resting state functional connectivityJ. Neurosci. Methods20101862422492010NIMPA.624..242L10.1016/j.jneumeth.2009.11.010 KahlaouiKContribution of NIRS to the study of prefrontal cortex for verbal fluency in agingBrain Lang.201212116417310.1016/j.bandl.2011.11.002 CausseMDehaisFPastorJExecutive functions and pilot characteristics predict flight simulator performance in general aviation pilotsInt. J. Aviat. Psychol.20112121723410.1080/10508414.2011.582441 KreplinUFaircloughSHEffects of self-directed and other-directed introspection and emotional valence on activation of the rostral prefrontal cortex during aesthetic experienceNeuropsychologia201571384510.1016/j.neuropsychologia.2015.03.013 Reuter-LorenzPACappellKANeurocognitive aging and the compensation hypothesisCurr. Dir. Psychol. Sci.20081717718210.1111/j.1467-8721.2008.00570.x GateauTAyazHDehaisFIn silico versus over the clouds: On-the-fly mental state estimation of aircraft pilots, using a functional near infrared spectroscopy based passive-BCIFront. Hum. Neurosci.20181218710.3389/fnhum.2018.00187 SalatDHThinning of the cerebral cortex in agingCereb. Cortex20041472173010.1093/cercor/bhh032 VermeijAvan BeekAHReijsBLClaassenJAKesselsRPAn exploratory study of the effects of spatial working-memory load on prefrontal activation in low-and high-performing elderlyFront. Aging Neurosci.2014630310.3389/fnagi.2014.00303 Li, S. & Lindenberger, U. Cross-level unification: A computational exploration of the link between deterioration of neurotransmitter systems and dedifferentiation of cognitive abilities in old age. Cogn. Neurosci. Mem. 103–146 (1999). Nagel, I. E. et al. Human aging magnifies genetic effects on executive functioning and working memory. Front. Hum. Neurosci. 2 (2008). ThomsenTBrain localization of attentional control in different age groups by combining functional and structural MRINeuroimage20042291291910.1016/j.neuroimage.2004.02.015 DurantinGGagnonJ-FTremblaySDehaisFUsing near infrared spectroscopy and heart rate variability to detect mental overloadBehav. Brain Res.201425916231:STN:280:DC%2BC2c7itVWitQ%3D%3D10.1016/j.bbr.2013.10.042 MattayVSNeurophysiological correlates of age-related changes in working memory capacityNeurosci. Lett.200639232371:CAS:528:DC%2BD2MXhtlSjsLnN10.1016/j.neulet.2005.09.025 Wang, H. et al. Working Memory: A Criterion of Potential Practicality for Pilot Candidate Selection. Int. J. Aerosp. Psychol. 1–12 (2019). OwenAMDownesJJSahakianBJPolkeyCERobbinsTWPlanning and spatial working memory following frontal lobe lesions in manNeuropsychologia199028102110341:STN:280:DyaK3M%2FpsFSlsg%3D%3D10.1016/0028-3932(90)90137-D Van Benthem, K. & Herdman, C. M. The Engagement and Safety of Older General Aviation Pilots: Emerging Immersive Technologies. In (2016). ScholkmannFWolfMGeneral equation for the differential pathlength factor of the frontal human head depending on wavelength and ageJ. Biomed. Opt.2013181050042013JBO....18j5004S10.1117/1.JBO.18.10.105004 De LucaCRNormative data from the Cantab. I: Development of executive function over the lifespanJ. Clin. Exp. Neuropsychol.20032524225410.1076/jcen.25.2.242.13639 RönnlundMLövdénMNilssonL-GAdult age differences in Tower of Hanoi performance: Influence from demographic and cognitive variablesAging Neuropsychol. Cogn.2001826928310.1076/anec.8.4.269.5641 Van BenthemKHerdmanCMCognitive Factors Mediate the Relation Between Age and Flight Path Maintenance in General AviationAviat. Psychol. Appl. Hum. Factors201610.1027/2192-0923/a000102 DavisHKlebeKA longitudinal study of the performance of the elderly and young on the Tower of Hanoi puzzle and Rey recallBrain Cogn.20014695991:CAS:528:DC%2BD3MXmt1yjs7g%3D10.1016/S0278-2626(01)80043-9 Hasher, L. & Zacks, R. T. Working memory, comprehension, and aging: A review and a new view. In Psychology of learning and motivation22, 193–225 (Elsevier, 1988). Benjamini, Y. & Hochberg, Y. Controlling the false discovery rate: a practical and powerful approach to multiple testing. J. R. Stat. Soc. Ser. B Methodol. 289–300 (1995). WickensCDSituation awareness and workload in aviationCurr. Dir. Psychol. Sci.20021112813310.1111/1467-8721.00184 YesavageJAInitial Cognitive Performance Predicts Longitudinal Aviator PerformanceJ. Gerontol. B. Psychol. Sci. Soc. Sci.20116644410.1093/geronb/gbr031 MandrickKPeysakhovichVRémyFLepronECausseMNeural and psychophysiological correlates of human performance under stress and high mental workloadBiol. Psychol.2016121627310.1016/j.biopsycho.2016.10.002 LindenDECortical capacity constraints for visual working memory: dissociation of fMRI load effects in a fronto-parietal networkNeuroimage2003201518153010.1016/j.neuroimage.2003.07.021 Van der Zee, P. et al. Experimentally measured optical pathlengths for the adult head, calf and forearm and the head of the newborn infant as a function of inter optode spacing. In Oxygen transport to tissue XIII 143–153 (Springer, 1992). ToepperMThe impact of age on load-related dorsolateral prefrontal cortex activationFront. Aging Neurosci.20146910.3389/fnagi.2014.00009 RoweGHasherLTurcotteJAge differences in visuospatial working memoryPsychol. Aging2008237910.1037/0882-7974.23.1.79 VerhaeghenPSalthouseTAMeta-analyses of age–cognition relations in adulthood: Estimates of linear and nonlinear age effects and structural modelsPsychol. Bull.19971222311:STN:280:DyaK1c%2FhsFKrtw%3D%3D10.1037/0033-2909.122.3.231 CabezaRAndersonNDLocantoreJKMcIntoshARAging gracefully: compensatory brain activity in high-performing older adultsNeuroimage2002171394140210.1006/nimg.2002.1280 FoyHJRunhamPChapmanPPrefrontal Cortex Activation and Young Driver Behaviour: A fNIRS StudyPLOS ONE201611e015651210.1371/journal.pone.0156512 BrennanMWelshMCFisherCBAging and executive function skills: An examination of a community-dwelling older adult populationPercept. Mot. Skills199784118711971:STN:280:DyaK2szntlCjtA%3D%3D10.2466/pms.1997.84.3c.1187 DuncanAMeasurement of cranial optical path length as a function of age using phase resolved near infrared spectroscopyPediatr. Res.1996398891:STN:280:DyaK283pvVGltQ%3D%3D10.1203/00006450-199605000-00025 RobbinsTWA study of performance on tests from the CANTAB battery sensitive to frontal lobe dysfunction in a large sample of normal volunteers: Implications for theories of executive functioning and cognitive agingJ. Int. Neuropsychol. Soc.199844744901:STN:280:DyaK1cvhslOmug%3D%3D10.1017/S1355617798455073 WigginsMO’HareDExpertise in aeronautical weather-related decision making: A cross-sectional analysis of general aviation pilotsJ. Exp. Psychol. Appl.1995130532010.1037/1076-898X.1.4.305 MorrowDGMenardWEStine-MorrowEATellerTBryantDThe influence of expertise and task factors on age differences in pilot communicationPsychol. Aging200116311:STN:280:DC%2BD3MvkslensQ%3D%3D10.1037/0882-7974.16.1.31 EtienneVMarin-LamelletCLaurentBExecutive functioning in normal agingRev. Neurol. (Paris)2008164101010171:STN:280:DC%2BD1M%2FhslWrtg%3D%3D10.1016/j.neurol.2008.03.021 BartzokisGHeterogeneous age-related breakdown of white matter structural integrity: implications for cortical “disconnection” in aging and Alzheimer’s diseaseNeurobiol. Aging2004258438511:CAS:528:DC%2BD2cXltVGjurk%3D10.1016/j.neurobiolaging.2003.09.005 NybergLLövdénMRiklundKLindenbergerUBäckmanLMemory aging and brain maintenanceTrends Cogn. Sci.20121629230510.1016/j.tics.2012.04.005 PiefkeMOnurÖAFinkGRAging-related changes of neural mechanisms underlying visual-spatial working memoryNeurobiol. Aging2012331284129710.1016/j.neurobiolaging.2010.10.014 ManoachDSPrefrontal cortex fMRI signal changes are correlated with working memory loadNeuroreport199785455491:STN:280:DyaK2s3jsFehsA%3D%3D10.1097/00001756-199701200-00033 BrigadoiSMotion artifacts in functional near-infrared spectroscopy: A comparison of motion correction techniques applied to real cognitive dataNeuroImage20148518119110.1016/j.neuroimage.2013.04.082 VermeijAVan BeekAHRikkertMGOClaassenJAKesselsRPEffects of aging on cerebral oxygenation during working-memory performance: a functional near-infrared spectroscopy studyPloS One20127e462102012PLoSO...746210V1:CAS:528:DC%2BC38XhsFShs7nJ10.1371/journal.pone.0046210 BenderARVölkleMCRazNDifferential aging of cerebral white matter in middle-aged and older adults: a seven-year follow-upNeuroimage2016125748310.1016/j.neuroimage.2015.10.030 ShalliceT.Specific Impairments of PlanningPhilosophical Transactions of the Royal Society B: Biological Sciences198229810891992091982RSPTB.298..199S1:STN:280:DyaL383nsFCgtQ%3D%3D10.1098/rstb.1982.0082 CausseMDehaisFArexisMPastorJCognitive aging and flight performances in general aviation pilotsAging Neuropsychol. Cogn.20111854456110.1080/13825585.2011.586018 Causse, M., Chua, Z., Peysakhovich, V., Del Campo, N. & Matton, N. Mental workload and neural efficiency quantified in the prefrontal cortex using fNIRS. Sci. Rep. 7 (2017). Van Benthem, K., Herdman, C. M., Brown, M. & Barr, A. The Relationship of age, experience and cognitive health to private pilot situation awareness performance. In 2–5 (2011). HusterKMMüllerAProhnMJNowakDHerbigBMedical risks in older pilots: a systematic review on incapacitation and ageInt. Arch. Occup. Environ. Health20148756757810.1007/s00420-013-0901-x Ayaz, H. Functional Near Infrared Spectroscopy based Brain Computer Interface. Ph.D., Drexel University. (2010). HarwoodKWickensCDFrames of reference for helicopter electronic maps: The relevance of spatial cognition and componential analysisInt. J. Aviat. Psychol.1991152310.1207/s15327108ijap0101_2 SorelOPennequinVAging of the planning process: The role of executive functioningBrain Cogn.20086619620110.1016/j.bandc.2007.07.006 Reuter-LorenzPAParkDCHow does it STAC up? Revisiting the scaffolding theory of aging and cognitionNeuropsychol. Rev.20142435537010.1007/s11065-014-9270-9 ParkDCReuter-LorenzPThe adaptive brain: aging a M Piefke (44082_CR18) 2012; 33 A Duncan (44082_CR71) 1996; 39 PA Reuter-Lorenz (44082_CR22) 2008; 17 CR De Luca (44082_CR35) 2003; 25 A Vermeij (44082_CR49) 2012; 7 DC Park (44082_CR34) 2009; 60 V Etienne (44082_CR60) 2008; 164 CJ Konig (44082_CR54) 2005; 18 SM Resnick (44082_CR9) 2003; 23 44082_CR82 M Bazargan (44082_CR2) 2011; 43 TW Robbins (44082_CR6) 1998; 4 H Ayaz (44082_CR38) 2012; 59 S Brigadoi (44082_CR79) 2014; 85 44082_CR39 HJ Foy (44082_CR73) 2016; 11 T Gateau (44082_CR80) 2018; 12 DS Manoach (44082_CR47) 1997; 8 K Harwood (44082_CR31) 1991; 1 T Strobach (44082_CR66) 2014; 78 TA Salthouse (44082_CR15) 1992; 20 M Wiggins (44082_CR30) 1995; 1 T. Shallice (44082_CR68) 1982; 298 AM Owen (44082_CR67) 1990; 28 T Tsujii (44082_CR37) 2010; 210 KM Huster (44082_CR3) 2014; 87 G Bartzokis (44082_CR11) 2004; 25 K Van Benthem (44082_CR28) 2016 BR White (44082_CR78) 2009; 47 44082_CR43 DG Morrow (44082_CR45) 2001; 16 L Nyberg (44082_CR51) 2012; 16 44082_CR84 T Thomsen (44082_CR14) 2004; 22 D Thissen (44082_CR83) 2002; 27 JA Yesavage (44082_CR65) 2011; 66 AR Bender (44082_CR12) 2016; 125 G Rowe (44082_CR42) 2008; 23 H Davis (44082_CR57) 2001; 46 N Matton (44082_CR53) 2016; 58 B Rypma (44082_CR48) 1999; 9 SD Newman (44082_CR61) 2003; 41 S Sasai (44082_CR77) 2011; 56 M Toepper (44082_CR16) 2014; 6 44082_CR1 M Rönnlund (44082_CR62) 2001; 8 G Durantin (44082_CR40) 2014; 259 M Brennan (44082_CR56) 1997; 84 G Wilson (44082_CR24) 2002; 12 M Causse (44082_CR25) 2011; 21 M Causse (44082_CR27) 2011; 18 F Scholkmann (44082_CR72) 2013; 18 A Vermeij (44082_CR19) 2014; 6 P Verhaeghen (44082_CR5) 1997; 122 J Taylor (44082_CR29) 2000; 71 U Kreplin (44082_CR81) 2015; 71 44082_CR4 GR Turner (44082_CR50) 2012; 33 X Cui (44082_CR74) 2010; 49 C-M Lu (44082_CR75) 2010; 186 MK Johnson (44082_CR13) 2004; 15 BJ Sharkey (44082_CR63) 1987; 19 K Mandrick (44082_CR41) 2016; 121 N Roche-Labarbe (44082_CR76) 2008; 49 IE Nagel (44082_CR17) 2009; 106 CD Wickens (44082_CR32) 2002; 11 K Kahlaoui (44082_CR36) 2012; 121 N Raz (44082_CR8) 2010; 51 D Morrow (44082_CR44) 1994; 9 DH Salat (44082_CR10) 2004; 14 44082_CR70 44082_CR21 NJ Schneider-Garces (44082_CR7) 2010; 22 SD Newman (44082_CR59) 2003; 41 44082_CR64 VS Mattay (44082_CR52) 2006; 392 44082_CR69 R Cabeza (44082_CR20) 2002; 17 DE Linden (44082_CR46) 2003; 20 PA Reuter-Lorenz (44082_CR23) 2014; 24 44082_CR26 R Cabeza (44082_CR33) 2002; 17 M Richter (44082_CR55) 2006; 61 O Sorel (44082_CR58) 2008; 66 |
| References_xml | – reference: JohnsonMKMitchellKJRayeCLGreeneEJAn age-related deficit in prefrontal cortical function associated with refreshing informationPsychol. Sci.20041512713210.1111/j.0963-7214.2004.01502009.x – reference: MattonNPaubelPCegarraJRaufasteEDifferences in Multitask Resource Reallocation After Change in Task ValuesHum. Factors2016581128114210.1177/0018720816662543 – reference: ScholkmannFWolfMGeneral equation for the differential pathlength factor of the frontal human head depending on wavelength and ageJ. Biomed. Opt.2013181050042013JBO....18j5004S10.1117/1.JBO.18.10.105004 – reference: VermeijAvan BeekAHReijsBLClaassenJAKesselsRPAn exploratory study of the effects of spatial working-memory load on prefrontal activation in low-and high-performing elderlyFront. Aging Neurosci.2014630310.3389/fnagi.2014.00303 – reference: YesavageJAInitial Cognitive Performance Predicts Longitudinal Aviator PerformanceJ. Gerontol. B. Psychol. Sci. Soc. Sci.20116644410.1093/geronb/gbr031 – reference: DavisHKlebeKA longitudinal study of the performance of the elderly and young on the Tower of Hanoi puzzle and Rey recallBrain Cogn.20014695991:CAS:528:DC%2BD3MXmt1yjs7g%3D10.1016/S0278-2626(01)80043-9 – reference: Reuter-LorenzPACappellKANeurocognitive aging and the compensation hypothesisCurr. Dir. Psychol. Sci.20081717718210.1111/j.1467-8721.2008.00570.x – reference: ThissenDSteinbergLKuangDQuick and easy implementation of the Benjamini-Hochberg procedure for controlling the false positive rate in multiple comparisonsJ. Educ. Behav. Stat.200227778310.3102/10769986027001077 – reference: MandrickKPeysakhovichVRémyFLepronECausseMNeural and psychophysiological correlates of human performance under stress and high mental workloadBiol. Psychol.2016121627310.1016/j.biopsycho.2016.10.002 – reference: Gong, H. et al. Monitoring of brain activity with near-infrared spectroscopy, https://doi.org/10.1117/3.2219603.ch8 (2016). – reference: ToepperMThe impact of age on load-related dorsolateral prefrontal cortex activationFront. Aging Neurosci.20146910.3389/fnagi.2014.00009 – reference: Schneider-GarcesNJSpan, CRUNCH, and beyond: working memory capacity and the aging brainJ. Cogn. Neurosci.20102265566910.1162/jocn.2009.21230 – reference: Van Benthem, K., Herdman, C. M., Brown, M. & Barr, A. The Relationship of age, experience and cognitive health to private pilot situation awareness performance. In 2–5 (2011). – reference: KonigCJBuhnerMMurlingGWorking memory, fluid intelligence, and attention are predictors of multitasking performance, but polychronicity and extraversion are notHum. Perform.20051824326610.1207/s15327043hup1803_3 – reference: DurantinGGagnonJ-FTremblaySDehaisFUsing near infrared spectroscopy and heart rate variability to detect mental overloadBehav. Brain Res.201425916231:STN:280:DC%2BC2c7itVWitQ%3D%3D10.1016/j.bbr.2013.10.042 – reference: Hasher, L. & Zacks, R. T. Working memory, comprehension, and aging: A review and a new view. In Psychology of learning and motivation22, 193–225 (Elsevier, 1988). – reference: BenderARVölkleMCRazNDifferential aging of cerebral white matter in middle-aged and older adults: a seven-year follow-upNeuroimage2016125748310.1016/j.neuroimage.2015.10.030 – reference: Van Benthem, K. & Herdman, C. M. The Engagement and Safety of Older General Aviation Pilots: Emerging Immersive Technologies. In (2016). – reference: HarwoodKWickensCDFrames of reference for helicopter electronic maps: The relevance of spatial cognition and componential analysisInt. J. Aviat. Psychol.1991152310.1207/s15327108ijap0101_2 – reference: KahlaouiKContribution of NIRS to the study of prefrontal cortex for verbal fluency in agingBrain Lang.201212116417310.1016/j.bandl.2011.11.002 – reference: Van der Zee, P. et al. Experimentally measured optical pathlengths for the adult head, calf and forearm and the head of the newborn infant as a function of inter optode spacing. In Oxygen transport to tissue XIII 143–153 (Springer, 1992). – reference: EtienneVMarin-LamelletCLaurentBExecutive functioning in normal agingRev. Neurol. (Paris)2008164101010171:STN:280:DC%2BD1M%2FhslWrtg%3D%3D10.1016/j.neurol.2008.03.021 – reference: RönnlundMLövdénMNilssonL-GAdult age differences in Tower of Hanoi performance: Influence from demographic and cognitive variablesAging Neuropsychol. Cogn.2001826928310.1076/anec.8.4.269.5641 – reference: Li, S. & Lindenberger, U. Cross-level unification: A computational exploration of the link between deterioration of neurotransmitter systems and dedifferentiation of cognitive abilities in old age. Cogn. Neurosci. Mem. 103–146 (1999). – reference: TsujiiTOkadaMWatanabeSEffects of aging on hemispheric asymmetry in inferior frontal cortex activity during belief–bias syllogistic reasoning: A near-infrared spectroscopy studyBehav. Brain Res.201021017818310.1016/j.bbr.2010.02.027 – reference: RichterMGendollaGIncentive effects on cardiovascular reactivity in active coping with unclear task difficultyInt. J. Psychophysiol.20066121622510.1016/j.ijpsycho.2005.10.003 – reference: Ayaz, H. Functional Near Infrared Spectroscopy based Brain Computer Interface. Ph.D., Drexel University. (2010). – reference: AyazHOptical brain monitoring for operator training and mental workload assessmentNeuroimage201259364710.1016/j.neuroimage.2011.06.023 – reference: MorrowDGMenardWEStine-MorrowEATellerTBryantDThe influence of expertise and task factors on age differences in pilot communicationPsychol. Aging200116311:STN:280:DC%2BD3MvkslensQ%3D%3D10.1037/0882-7974.16.1.31 – reference: ManoachDSPrefrontal cortex fMRI signal changes are correlated with working memory loadNeuroreport199785455491:STN:280:DyaK2s3jsFehsA%3D%3D10.1097/00001756-199701200-00033 – reference: TurnerGRSprengRNExecutive functions and neurocognitive aging: dissociable patterns of brain activityNeurobiol. Aging201233826e110.1016/j.neurobiolaging.2011.06.005 – reference: CuiXBraySReissALFunctional near infrared spectroscopy (NIRS) signal improvement based on negative correlation between oxygenated and deoxygenated hemoglobin dynamicsNeuroImage201049303930461:CAS:528:DC%2BC3cXktlSkt7c%3D10.1016/j.neuroimage.2009.11.050 – reference: RobbinsTWA study of performance on tests from the CANTAB battery sensitive to frontal lobe dysfunction in a large sample of normal volunteers: Implications for theories of executive functioning and cognitive agingJ. Int. Neuropsychol. Soc.199844744901:STN:280:DyaK1cvhslOmug%3D%3D10.1017/S1355617798455073 – reference: DuncanAMeasurement of cranial optical path length as a function of age using phase resolved near infrared spectroscopyPediatr. Res.1996398891:STN:280:DyaK283pvVGltQ%3D%3D10.1203/00006450-199605000-00025 – reference: ThomsenTBrain localization of attentional control in different age groups by combining functional and structural MRINeuroimage20042291291910.1016/j.neuroimage.2004.02.015 – reference: SalthouseTAWorking-memory mediation of adult age differences in integrative reasoningMem. Cognit.1992204134231:STN:280:DyaK38zls1yntg%3D%3D10.3758/BF03210925 – reference: SalatDHThinning of the cerebral cortex in agingCereb. Cortex20041472173010.1093/cercor/bhh032 – reference: WigginsMO’HareDExpertise in aeronautical weather-related decision making: A cross-sectional analysis of general aviation pilotsJ. Exp. Psychol. Appl.1995130532010.1037/1076-898X.1.4.305 – reference: StrobachTSalminenTKarbachJSchubertTPractice-related optimization and transfer of executive functions: a general review and a specific realization of their mechanisms in dual tasksPsychol. Res.20147883685110.1007/s00426-014-0563-7 – reference: PiefkeMOnurÖAFinkGRAging-related changes of neural mechanisms underlying visual-spatial working memoryNeurobiol. Aging2012331284129710.1016/j.neurobiolaging.2010.10.014 – reference: VerhaeghenPSalthouseTAMeta-analyses of age–cognition relations in adulthood: Estimates of linear and nonlinear age effects and structural modelsPsychol. Bull.19971222311:STN:280:DyaK1c%2FhsFKrtw%3D%3D10.1037/0033-2909.122.3.231 – reference: NybergLLövdénMRiklundKLindenbergerUBäckmanLMemory aging and brain maintenanceTrends Cogn. Sci.20121629230510.1016/j.tics.2012.04.005 – reference: WhiteBRResting-state functional connectivity in the human brain revealed with diffuse optical tomographyNeuroImage20094714815610.1016/j.neuroimage.2009.03.058 – reference: Reuter-LorenzPAParkDCHow does it STAC up? Revisiting the scaffolding theory of aging and cognitionNeuropsychol. Rev.20142435537010.1007/s11065-014-9270-9 – reference: SharkeyBJFunctional vs chronologic ageMed. Sci. Sports Exerc.1987191741781:STN:280:DyaL2s3gtV2jtA%3D%3D10.1249/00005768-198704000-00018 – reference: Nagel, I. E. et al. Human aging magnifies genetic effects on executive functioning and working memory. Front. Hum. Neurosci. 2 (2008). – reference: KreplinUFaircloughSHEffects of self-directed and other-directed introspection and emotional valence on activation of the rostral prefrontal cortex during aesthetic experienceNeuropsychologia201571384510.1016/j.neuropsychologia.2015.03.013 – reference: BazarganMGuzhvaVSImpact of gender, age and experience of pilots on general aviation accidentsAccid. Anal. Prev.20114396297010.1016/j.aap.2010.11.023 – reference: RazNGhislettaPRodrigueKMKennedyKMLindenbergerUTrajectories of brain aging in middle-aged and older adults: regional and individual differencesNeuroimage20105150151110.1016/j.neuroimage.2010.03.020 – reference: OwenAMDownesJJSahakianBJPolkeyCERobbinsTWPlanning and spatial working memory following frontal lobe lesions in manNeuropsychologia199028102110341:STN:280:DyaK3M%2FpsFSlsg%3D%3D10.1016/0028-3932(90)90137-D – reference: BrigadoiSMotion artifacts in functional near-infrared spectroscopy: A comparison of motion correction techniques applied to real cognitive dataNeuroImage20148518119110.1016/j.neuroimage.2013.04.082 – reference: SorelOPennequinVAging of the planning process: The role of executive functioningBrain Cogn.20086619620110.1016/j.bandc.2007.07.006 – reference: CausseMDehaisFArexisMPastorJCognitive aging and flight performances in general aviation pilotsAging Neuropsychol. Cogn.20111854456110.1080/13825585.2011.586018 – reference: RoweGHasherLTurcotteJAge differences in visuospatial working memoryPsychol. Aging2008237910.1037/0882-7974.23.1.79 – reference: MorrowDLeirerVAltiteriPFitzsimmonsCWhen expertise reduces age differences in performancePsychol. Aging199491341:STN:280:DyaK2c3kt1artg%3D%3D10.1037/0882-7974.9.1.134 – reference: Roche-LabarbeNNIRS‐measured oxy‐and deoxyhemoglobin changes associated with EEG spike‐and‐wave discharges in childrenEpilepsia2008491871188010.1111/j.1528-1167.2008.01711.x – reference: GateauTAyazHDehaisFIn silico versus over the clouds: On-the-fly mental state estimation of aircraft pilots, using a functional near infrared spectroscopy based passive-BCIFront. Hum. Neurosci.20181218710.3389/fnhum.2018.00187 – reference: VermeijAVan BeekAHRikkertMGOClaassenJAKesselsRPEffects of aging on cerebral oxygenation during working-memory performance: a functional near-infrared spectroscopy studyPloS One20127e462102012PLoSO...746210V1:CAS:528:DC%2BC38XhsFShs7nJ10.1371/journal.pone.0046210 – reference: BartzokisGHeterogeneous age-related breakdown of white matter structural integrity: implications for cortical “disconnection” in aging and Alzheimer’s diseaseNeurobiol. Aging2004258438511:CAS:528:DC%2BD2cXltVGjurk%3D10.1016/j.neurobiolaging.2003.09.005 – reference: RypmaBPrabhakaranVDesmondJEGloverGHGabrieliJDLoad-dependent roles of frontal brain regions in the maintenance of working memoryNeuroimage199992162261:STN:280:DyaK1M7jt1GisQ%3D%3D10.1006/nimg.1998.0404 – reference: HusterKMMüllerAProhnMJNowakDHerbigBMedical risks in older pilots: a systematic review on incapacitation and ageInt. Arch. Occup. Environ. Health20148756757810.1007/s00420-013-0901-x – reference: CabezaRHemispheric asymmetry reduction in older adults: the HAROLD modelPsychol. Aging2002178510010.1037/0882-7974.17.1.85 – reference: WickensCDSituation awareness and workload in aviationCurr. Dir. Psychol. Sci.20021112813310.1111/1467-8721.00184 – reference: WilsonGAn analysis of mental workload in pilots during flight using multiple psychophysiological measuresInt. J. Aviat. Psychol.20021231810.1207/S15327108IJAP1201_2 – reference: ShalliceT.Specific Impairments of PlanningPhilosophical Transactions of the Royal Society B: Biological Sciences198229810891992091982RSPTB.298..199S1:STN:280:DyaL383nsFCgtQ%3D%3D10.1098/rstb.1982.0082 – reference: CabezaRAndersonNDLocantoreJKMcIntoshARAging gracefully: compensatory brain activity in high-performing older adultsNeuroimage2002171394140210.1006/nimg.2002.1280 – reference: NagelIEPerformance level modulates adult age differences in brain activation during spatial working memoryProc. Natl. Acad. Sci.200910622552225572009PNAS..10622552N1:CAS:528:DC%2BC3cXmsVCnsw%3D%3D10.1073/pnas.0908238106 – reference: FoyHJRunhamPChapmanPPrefrontal Cortex Activation and Young Driver Behaviour: A fNIRS StudyPLOS ONE201611e015651210.1371/journal.pone.0156512 – reference: LuC-MUse of fNIRS to assess resting state functional connectivityJ. Neurosci. Methods20101862422492010NIMPA.624..242L10.1016/j.jneumeth.2009.11.010 – reference: Van BenthemKHerdmanCMCognitive Factors Mediate the Relation Between Age and Flight Path Maintenance in General AviationAviat. Psychol. Appl. Hum. Factors201610.1027/2192-0923/a000102 – reference: TaylorJO’HaraRMumenthalerMYesavageJRelationship of CogScreen-AE to flight simulator performance and pilot ageAviat. Space Environ. Med.2000713731:STN:280:DC%2BD3c3islGnsA%3D%3D10766461 – reference: Causse, M., Chua, Z., Peysakhovich, V., Del Campo, N. & Matton, N. Mental workload and neural efficiency quantified in the prefrontal cortex using fNIRS. Sci. Rep. 7 (2017). – reference: ResnickSMPhamDLKrautMAZondermanABDavatzikosCLongitudinal magnetic resonance imaging studies of older adults: a shrinking brainJ. Neurosci.200323329533011:CAS:528:DC%2BD3sXjsFSktr0%3D10.1523/JNEUROSCI.23-08-03295.2003 – reference: SasaiSHomaeFWatanabeHTagaGFrequency-specific functional connectivity in the brain during resting state revealed by NIRSNeuroImage20115625225710.1016/j.neuroimage.2010.12.075 – reference: ParkDCReuter-LorenzPThe adaptive brain: aging and neurocognitive scaffoldingAnnu. Rev. Psychol.20096017319610.1146/annurev.psych.59.103006.093656 – reference: MattayVSNeurophysiological correlates of age-related changes in working memory capacityNeurosci. Lett.200639232371:CAS:528:DC%2BD2MXhtlSjsLnN10.1016/j.neulet.2005.09.025 – reference: NewmanSDCarpenterPAVarmaSJustMAFrontal and parietal participation in problem solving in the Tower of London: fMRI and computational modeling of planning and high-level perceptionNeuropsychologia2003411668168210.1016/S0028-3932(03)00091-5 – reference: Wang, H. et al. Working Memory: A Criterion of Potential Practicality for Pilot Candidate Selection. Int. J. Aerosp. Psychol. 1–12 (2019). – reference: Benjamini, Y. & Hochberg, Y. Controlling the false discovery rate: a practical and powerful approach to multiple testing. J. R. Stat. Soc. Ser. B Methodol. 289–300 (1995). – reference: LindenDECortical capacity constraints for visual working memory: dissociation of fMRI load effects in a fronto-parietal networkNeuroimage2003201518153010.1016/j.neuroimage.2003.07.021 – reference: BrennanMWelshMCFisherCBAging and executive function skills: An examination of a community-dwelling older adult populationPercept. Mot. Skills199784118711971:STN:280:DyaK2szntlCjtA%3D%3D10.2466/pms.1997.84.3c.1187 – reference: De LucaCRNormative data from the Cantab. I: Development of executive function over the lifespanJ. Clin. Exp. Neuropsychol.20032524225410.1076/jcen.25.2.242.13639 – reference: CausseMDehaisFPastorJExecutive functions and pilot characteristics predict flight simulator performance in general aviation pilotsInt. J. Aviat. Psychol.20112121723410.1080/10508414.2011.582441 – ident: 44082_CR84 – volume: 66 start-page: 444 year: 2011 ident: 44082_CR65 publication-title: J. Gerontol. B. Psychol. Sci. Soc. Sci. doi: 10.1093/geronb/gbr031 – volume: 71 start-page: 38 year: 2015 ident: 44082_CR81 publication-title: Neuropsychologia doi: 10.1016/j.neuropsychologia.2015.03.013 – volume: 33 start-page: 826 year: 2012 ident: 44082_CR50 publication-title: Neurobiol. Aging doi: 10.1016/j.neurobiolaging.2011.06.005 – volume: 22 start-page: 912 year: 2004 ident: 44082_CR14 publication-title: Neuroimage doi: 10.1016/j.neuroimage.2004.02.015 – volume: 17 start-page: 1394 year: 2002 ident: 44082_CR33 publication-title: Neuroimage doi: 10.1006/nimg.2002.1280 – volume: 12 start-page: 3 year: 2002 ident: 44082_CR24 publication-title: Int. J. Aviat. Psychol. doi: 10.1207/S15327108IJAP1201_2 – ident: 44082_CR4 doi: 10.1016/S0079-7421(08)60041-9 – ident: 44082_CR70 doi: 10.1117/3.2219603.ch8 – volume: 28 start-page: 1021 year: 1990 ident: 44082_CR67 publication-title: Neuropsychologia doi: 10.1016/0028-3932(90)90137-D – volume: 9 start-page: 134 year: 1994 ident: 44082_CR44 publication-title: Psychol. Aging doi: 10.1037/0882-7974.9.1.134 – volume: 49 start-page: 1871 year: 2008 ident: 44082_CR76 publication-title: Epilepsia doi: 10.1111/j.1528-1167.2008.01711.x – ident: 44082_CR39 doi: 10.1038/s41598-017-05378-x – ident: 44082_CR69 doi: 10.1007/978-1-4615-3404-4_17 – volume: 7 start-page: e46210 year: 2012 ident: 44082_CR49 publication-title: PloS One doi: 10.1371/journal.pone.0046210 – volume: 12 start-page: 187 year: 2018 ident: 44082_CR80 publication-title: Front. Hum. Neurosci. doi: 10.3389/fnhum.2018.00187 – volume: 23 start-page: 3295 year: 2003 ident: 44082_CR9 publication-title: J. Neurosci. doi: 10.1523/JNEUROSCI.23-08-03295.2003 – volume: 33 start-page: 1284 year: 2012 ident: 44082_CR18 publication-title: Neurobiol. Aging doi: 10.1016/j.neurobiolaging.2010.10.014 – volume: 11 start-page: 128 year: 2002 ident: 44082_CR32 publication-title: Curr. Dir. Psychol. Sci. doi: 10.1111/1467-8721.00184 – volume: 20 start-page: 413 year: 1992 ident: 44082_CR15 publication-title: Mem. Cognit. doi: 10.3758/BF03210925 – volume: 16 start-page: 31 year: 2001 ident: 44082_CR45 publication-title: Psychol. Aging doi: 10.1037/0882-7974.16.1.31 – volume: 125 start-page: 74 year: 2016 ident: 44082_CR12 publication-title: Neuroimage doi: 10.1016/j.neuroimage.2015.10.030 – volume: 106 start-page: 22552 year: 2009 ident: 44082_CR17 publication-title: Proc. Natl. Acad. Sci. doi: 10.1073/pnas.0908238106 – volume: 8 start-page: 545 year: 1997 ident: 44082_CR47 publication-title: Neuroreport doi: 10.1097/00001756-199701200-00033 – volume: 58 start-page: 1128 year: 2016 ident: 44082_CR53 publication-title: Hum. Factors doi: 10.1177/0018720816662543 – volume: 60 start-page: 173 year: 2009 ident: 44082_CR34 publication-title: Annu. Rev. Psychol. doi: 10.1146/annurev.psych.59.103006.093656 – volume: 84 start-page: 1187 year: 1997 ident: 44082_CR56 publication-title: Percept. Mot. Skills doi: 10.2466/pms.1997.84.3c.1187 – volume: 4 start-page: 474 year: 1998 ident: 44082_CR6 publication-title: J. Int. Neuropsychol. Soc. doi: 10.1017/S1355617798455073 – volume: 19 start-page: 174 year: 1987 ident: 44082_CR63 publication-title: Med. Sci. Sports Exerc. doi: 10.1249/00005768-198704000-00018 – volume: 210 start-page: 178 year: 2010 ident: 44082_CR37 publication-title: Behav. Brain Res. doi: 10.1016/j.bbr.2010.02.027 – volume: 49 start-page: 3039 year: 2010 ident: 44082_CR74 publication-title: NeuroImage doi: 10.1016/j.neuroimage.2009.11.050 – volume: 186 start-page: 242 year: 2010 ident: 44082_CR75 publication-title: J. Neurosci. Methods doi: 10.1016/j.jneumeth.2009.11.010 – volume: 23 start-page: 79 year: 2008 ident: 44082_CR42 publication-title: Psychol. Aging doi: 10.1037/0882-7974.23.1.79 – volume: 121 start-page: 62 year: 2016 ident: 44082_CR41 publication-title: Biol. Psychol. doi: 10.1016/j.biopsycho.2016.10.002 – volume: 17 start-page: 85 year: 2002 ident: 44082_CR20 publication-title: Psychol. Aging doi: 10.1037/0882-7974.17.1.85 – volume: 164 start-page: 1010 year: 2008 ident: 44082_CR60 publication-title: Rev. Neurol. (Paris) doi: 10.1016/j.neurol.2008.03.021 – volume: 41 start-page: 1668 year: 2003 ident: 44082_CR61 publication-title: Neuropsychologia doi: 10.1016/S0028-3932(03)00091-5 – ident: 44082_CR82 doi: 10.1111/j.2517-6161.1995.tb02031.x – volume: 18 start-page: 544 year: 2011 ident: 44082_CR27 publication-title: Aging Neuropsychol. Cogn. doi: 10.1080/13825585.2011.586018 – volume: 41 start-page: 1668 year: 2003 ident: 44082_CR59 publication-title: Neuropsychologia doi: 10.1016/S0028-3932(03)00091-5 – volume: 11 start-page: e0156512 year: 2016 ident: 44082_CR73 publication-title: PLOS ONE doi: 10.1371/journal.pone.0156512 – volume: 20 start-page: 1518 year: 2003 ident: 44082_CR46 publication-title: Neuroimage doi: 10.1016/j.neuroimage.2003.07.021 – volume: 392 start-page: 32 year: 2006 ident: 44082_CR52 publication-title: Neurosci. Lett. doi: 10.1016/j.neulet.2005.09.025 – volume: 25 start-page: 242 year: 2003 ident: 44082_CR35 publication-title: J. Clin. Exp. Neuropsychol. doi: 10.1076/jcen.25.2.242.13639 – volume: 61 start-page: 216 year: 2006 ident: 44082_CR55 publication-title: Int. J. Psychophysiol. doi: 10.1016/j.ijpsycho.2005.10.003 – volume: 22 start-page: 655 year: 2010 ident: 44082_CR7 publication-title: J. Cogn. Neurosci. doi: 10.1162/jocn.2009.21230 – volume: 14 start-page: 721 year: 2004 ident: 44082_CR10 publication-title: Cereb. Cortex doi: 10.1093/cercor/bhh032 – year: 2016 ident: 44082_CR28 publication-title: Aviat. Psychol. Appl. Hum. Factors doi: 10.1027/2192-0923/a000102 – volume: 43 start-page: 962 year: 2011 ident: 44082_CR2 publication-title: Accid. Anal. Prev. doi: 10.1016/j.aap.2010.11.023 – volume: 47 start-page: 148 year: 2009 ident: 44082_CR78 publication-title: NeuroImage doi: 10.1016/j.neuroimage.2009.03.058 – volume: 21 start-page: 217 year: 2011 ident: 44082_CR25 publication-title: Int. J. Aviat. Psychol. doi: 10.1080/10508414.2011.582441 – volume: 9 start-page: 216 year: 1999 ident: 44082_CR48 publication-title: Neuroimage doi: 10.1006/nimg.1998.0404 – volume: 1 start-page: 305 year: 1995 ident: 44082_CR30 publication-title: J. Exp. Psychol. Appl. doi: 10.1037/1076-898X.1.4.305 – volume: 66 start-page: 196 year: 2008 ident: 44082_CR58 publication-title: Brain Cogn. doi: 10.1016/j.bandc.2007.07.006 – volume: 46 start-page: 95 year: 2001 ident: 44082_CR57 publication-title: Brain Cogn. doi: 10.1016/S0278-2626(01)80043-9 – volume: 121 start-page: 164 year: 2012 ident: 44082_CR36 publication-title: Brain Lang. doi: 10.1016/j.bandl.2011.11.002 – volume: 259 start-page: 16 year: 2014 ident: 44082_CR40 publication-title: Behav. Brain Res. doi: 10.1016/j.bbr.2013.10.042 – volume: 298 start-page: 199 issue: 1089 year: 1982 ident: 44082_CR68 publication-title: Philosophical Transactions of the Royal Society B: Biological Sciences doi: 10.1098/rstb.1982.0082 – volume: 51 start-page: 501 year: 2010 ident: 44082_CR8 publication-title: Neuroimage doi: 10.1016/j.neuroimage.2010.03.020 – volume: 6 start-page: 9 year: 2014 ident: 44082_CR16 publication-title: Front. Aging Neurosci. doi: 10.3389/fnagi.2014.00009 – volume: 17 start-page: 177 year: 2008 ident: 44082_CR22 publication-title: Curr. Dir. Psychol. Sci. doi: 10.1111/j.1467-8721.2008.00570.x – volume: 87 start-page: 567 year: 2014 ident: 44082_CR3 publication-title: Int. Arch. Occup. Environ. Health doi: 10.1007/s00420-013-0901-x – ident: 44082_CR21 – ident: 44082_CR43 doi: 10.3389/neuro.09.001.2008 – volume: 16 start-page: 292 year: 2012 ident: 44082_CR51 publication-title: Trends Cogn. Sci. doi: 10.1016/j.tics.2012.04.005 – volume: 24 start-page: 355 year: 2014 ident: 44082_CR23 publication-title: Neuropsychol. Rev. doi: 10.1007/s11065-014-9270-9 – volume: 8 start-page: 269 year: 2001 ident: 44082_CR62 publication-title: Aging Neuropsychol. Cogn. doi: 10.1076/anec.8.4.269.5641 – volume: 59 start-page: 36 year: 2012 ident: 44082_CR38 publication-title: Neuroimage doi: 10.1016/j.neuroimage.2011.06.023 – volume: 1 start-page: 5 year: 1991 ident: 44082_CR31 publication-title: Int. J. Aviat. Psychol. doi: 10.1207/s15327108ijap0101_2 – volume: 15 start-page: 127 year: 2004 ident: 44082_CR13 publication-title: Psychol. Sci. doi: 10.1111/j.0963-7214.2004.01502009.x – ident: 44082_CR1 – volume: 78 start-page: 836 year: 2014 ident: 44082_CR66 publication-title: Psychol. Res. doi: 10.1007/s00426-014-0563-7 – volume: 122 start-page: 231 year: 1997 ident: 44082_CR5 publication-title: Psychol. Bull. doi: 10.1037/0033-2909.122.3.231 – volume: 56 start-page: 252 year: 2011 ident: 44082_CR77 publication-title: NeuroImage doi: 10.1016/j.neuroimage.2010.12.075 – volume: 18 start-page: 105004 year: 2013 ident: 44082_CR72 publication-title: J. Biomed. Opt. doi: 10.1117/1.JBO.18.10.105004 – volume: 27 start-page: 77 year: 2002 ident: 44082_CR83 publication-title: J. Educ. Behav. Stat. doi: 10.3102/10769986027001077 – volume: 6 start-page: 303 year: 2014 ident: 44082_CR19 publication-title: Front. Aging Neurosci. doi: 10.3389/fnagi.2014.00303 – volume: 71 start-page: 373 year: 2000 ident: 44082_CR29 publication-title: Aviat. Space Environ. Med. – volume: 25 start-page: 843 year: 2004 ident: 44082_CR11 publication-title: Neurobiol. Aging doi: 10.1016/j.neurobiolaging.2003.09.005 – volume: 18 start-page: 243 year: 2005 ident: 44082_CR54 publication-title: Hum. Perform. doi: 10.1207/s15327043hup1803_3 – ident: 44082_CR64 – volume: 85 start-page: 181 year: 2014 ident: 44082_CR79 publication-title: NeuroImage doi: 10.1016/j.neuroimage.2013.04.082 – ident: 44082_CR26 – volume: 39 start-page: 889 year: 1996 ident: 44082_CR71 publication-title: Pediatr. Res. doi: 10.1203/00006450-199605000-00025 |
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| Title | Influences of age, mental workload, and flight experience on cognitive performance and prefrontal activity in private pilots: a fNIRS study |
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