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[P2–285]: SELF‐EVALUATION OF DRIVING ABILITY THROUGH A DRIVING SIMULATOR EXPERIMENT: DIFFERENCES BETWEEN PATIENTS WITH MILD COGNITIVE IMPAIRMENT (MCI) AND HEALTHY ELDERLY DRIVERS
Author(s) -
Fragkiadaki Stella,
Kontaxopoulou Dionysia,
Beratis Ion N.,
Pavlou Dimosthenis,
Andronas Nikolaos,
Papanicolaou Andrew,
Economou Alexandra,
Yannis George,
Papageorgiou Sokratis G.
Publication year - 2017
Publication title -
alzheimer's and dementia
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 6.713
H-Index - 118
eISSN - 1552-5279
pISSN - 1552-5260
DOI - 10.1016/j.jalz.2017.06.938
Subject(s) - driving simulator , psychology , affect (linguistics) , cognition , simulation , driving simulation , cognitive impairment , audiology , physical medicine and rehabilitation , medicine , computer science , psychiatry , communication
assumed without an adequate analysis, especially in Old Adults (OA). Among the “weak” stationarity tests, the Priestley-Subba Rao (PSR) test calculates a “local” spectra that is “valid” only for punctual moments in time. A series of “smoothed” frequency filters give information of the time the local spectra is calculated. In here, weak REM sleep stationarity by the PSR test was compared to that from Wakefulness (W) and Non-REM (NREM) sleep. Methods: 8 Old Adults (OA) (age: 67.6 6 5.7; education: 8.8 6 2.6) without depression neither anxiety and with intact daily living activities were selected. Also, evaluations with the Mini-Mental State Examination (MMSE, 28.1 6 1.8) and a one night polysomnography were performed. 30 second epochs were classified according to the AASM and every epoch of W, NREM and REM sleep was subjected to PSR tests. Percentages of stationary epochs were obtained with respect to the total number of epochs of each stage and Student t-tests were used to compare them. Results: The PSR effectively showed different proportions of stationarity according to the classification of stages in each subject. In Figure 1, in one OA, epochs with stationarity are shown in black and the classification of REM sleep is shown in green. Clearly, a lower proportion of stationarity was found in REM sleep vs the other stages. These differences reached significance in F7, Fp2, LOG and ROG (p < 0.05, Figure 2). Conclusions: In OA, REM sleep showed lower proportions of epochs with stationarity vs. W and NREM sleep at anterior areas, a result that could be explained by the tonic and phasic REM sleep. When stationarity measurements are planned, it is recommended to differentiate anterior from lateral and posterior areas.