New complexity measures reveal that topographic loops of human alpha phase potentials are more complex in drowsy than in wake
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2018
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A number of measures, stemming from nonlinear dynamics, exist to estimate complexity of biomedical objects. In most cases they are appropriate, but sometimes unconventional measures, more suited for specific objects, are needed to perform the task. In our present work, we propose three new complexity measures to quantify complexity of topographic closed loops of alpha carrier frequency phase potentials (CFPP) of healthy humans in wake and drowsy states. EEG of ten adult individuals was recorded in both states, using a 14-channel montage. For each subject and each state, a topographic loop (circular directed graph) was constructed according to CFPP values. Circular complexity measure was obtained by summing angles which directed graph edges (arrows) form with the topographic center. Longitudinal complexity was defined as the sum of all arrow lengths, while intersecting complexity was introduced by counting the number of intersections of graph edges. Wilcoxon's signed-ranks test was used... on the sets of these three measures, as well as on fractal dimension values of some loop properties, to test differences between loops obtained in wake vs. drowsy. While fractal dimension values were not significantly different, longitudinal and intersecting complexities, as well as anticlockwise circularity, were significantly increased in drowsy.
Ključne reči:
alpha activity / phase potentials / wake and drowsy / circular graphs / complexityIzvor:
Medical & Biological Engineering & Computing, 2018, 56, 6, 967-978Finansiranje / projekti:
- Neurobiologija spavanja u starenju i bolesti - elektroencefalografski markeri i modeliranje u proceni poremećaja (RS-MESTD-Basic Research (BR or ON)-173022)
- Integralna studija identifikacije regionalnih genetskih faktora rizika i faktora rizika životne sredine za masovne nezarazne bolesti humane populacije u Srbiji - INGEMA_S (RS-MESTD-Integrated and Interdisciplinary Research (IIR or III)-41028)
DOI: 10.1007/s11517-017-1746-3
ISSN: 0140-0118
PubMed: 29110182
WoS: 000433045400004
Scopus: 2-s2.0-85033447202
URI
http://link.springer.com/10.1007/s11517-017-1746-3https://vinar.vin.bg.ac.rs/handle/123456789/7746
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Institucija/grupa
VinčaTY - JOUR AU - Kalauzi, Aleksandar AU - Vučković, Aleksandra AU - Bojić, Tijana PY - 2018 UR - http://link.springer.com/10.1007/s11517-017-1746-3 UR - https://vinar.vin.bg.ac.rs/handle/123456789/7746 AB - A number of measures, stemming from nonlinear dynamics, exist to estimate complexity of biomedical objects. In most cases they are appropriate, but sometimes unconventional measures, more suited for specific objects, are needed to perform the task. In our present work, we propose three new complexity measures to quantify complexity of topographic closed loops of alpha carrier frequency phase potentials (CFPP) of healthy humans in wake and drowsy states. EEG of ten adult individuals was recorded in both states, using a 14-channel montage. For each subject and each state, a topographic loop (circular directed graph) was constructed according to CFPP values. Circular complexity measure was obtained by summing angles which directed graph edges (arrows) form with the topographic center. Longitudinal complexity was defined as the sum of all arrow lengths, while intersecting complexity was introduced by counting the number of intersections of graph edges. Wilcoxon's signed-ranks test was used on the sets of these three measures, as well as on fractal dimension values of some loop properties, to test differences between loops obtained in wake vs. drowsy. While fractal dimension values were not significantly different, longitudinal and intersecting complexities, as well as anticlockwise circularity, were significantly increased in drowsy. T2 - Medical & Biological Engineering & Computing T1 - New complexity measures reveal that topographic loops of human alpha phase potentials are more complex in drowsy than in wake VL - 56 IS - 6 SP - 967 EP - 978 DO - 10.1007/s11517-017-1746-3 ER -
@article{ author = "Kalauzi, Aleksandar and Vučković, Aleksandra and Bojić, Tijana", year = "2018", abstract = "A number of measures, stemming from nonlinear dynamics, exist to estimate complexity of biomedical objects. In most cases they are appropriate, but sometimes unconventional measures, more suited for specific objects, are needed to perform the task. In our present work, we propose three new complexity measures to quantify complexity of topographic closed loops of alpha carrier frequency phase potentials (CFPP) of healthy humans in wake and drowsy states. EEG of ten adult individuals was recorded in both states, using a 14-channel montage. For each subject and each state, a topographic loop (circular directed graph) was constructed according to CFPP values. Circular complexity measure was obtained by summing angles which directed graph edges (arrows) form with the topographic center. Longitudinal complexity was defined as the sum of all arrow lengths, while intersecting complexity was introduced by counting the number of intersections of graph edges. Wilcoxon's signed-ranks test was used on the sets of these three measures, as well as on fractal dimension values of some loop properties, to test differences between loops obtained in wake vs. drowsy. While fractal dimension values were not significantly different, longitudinal and intersecting complexities, as well as anticlockwise circularity, were significantly increased in drowsy.", journal = "Medical & Biological Engineering & Computing", title = "New complexity measures reveal that topographic loops of human alpha phase potentials are more complex in drowsy than in wake", volume = "56", number = "6", pages = "967-978", doi = "10.1007/s11517-017-1746-3" }
Kalauzi, A., Vučković, A.,& Bojić, T.. (2018). New complexity measures reveal that topographic loops of human alpha phase potentials are more complex in drowsy than in wake. in Medical & Biological Engineering & Computing, 56(6), 967-978. https://doi.org/10.1007/s11517-017-1746-3
Kalauzi A, Vučković A, Bojić T. New complexity measures reveal that topographic loops of human alpha phase potentials are more complex in drowsy than in wake. in Medical & Biological Engineering & Computing. 2018;56(6):967-978. doi:10.1007/s11517-017-1746-3 .
Kalauzi, Aleksandar, Vučković, Aleksandra, Bojić, Tijana, "New complexity measures reveal that topographic loops of human alpha phase potentials are more complex in drowsy than in wake" in Medical & Biological Engineering & Computing, 56, no. 6 (2018):967-978, https://doi.org/10.1007/s11517-017-1746-3 . .