Arcady Putilov

Summary

Affiliation: The Research Institute for Molecular Biology and Biophysics
Location: Novosibirsk, Russia
Summary:
Inter-individual differences, chronobiology (mostly circadian and sleep physiology), biological and psychological processes modeling, psychology (mostly personality trait structuring, evolutionary psychology, comparative psychology), human and animal ethology, ecology, psychopathology (mostly depressive disorders), biological psychiatry, occupational and environmental medicine (mostly the issues of life in the 24-hr society and jet lag), psychophysiology, biofeedback, and history, methodology and sociology of science
Grants:
06-06-00375a, 2006-2008, Russian Foundation for Humanities,
Publications:
2011
Putilov AA. Prospects of using electroencephalographic signatures of the chronoregulatory processes for meaningful, parsimonious and quantitative description of the sleep-wake sub-states. Biol Rhythm Res 2011, 42 (3) 181-207.
Putilov AA. Principal components of electroencephalographic spectrum as markers of opponent processes underlying ultradian sleep cycles. Chronobiol. Int. 2011, 28(4): 287-299.
Putilov AA, Donskaya OG, Verevkin EG Principal component structuring of inter-individual variation in waking EEG spectra provides a possibility to quantify sleep debt and sleep pressure Shiftwork Int Newsl 2011;25(3):112.
Putilov AA. The universal principal component structure underlies all distinct electroencephalographic spectra of wake and sleep states and sub-states. In: Schumann A., Seet S., Jewgenow K., Hofer H. (Eds). Contributions to the 8th International Conference on Behaviour, Physiology and Genetics of Wildlife, 14th

Publications

  1. doi Principal components of electroencephalographic spectrum as markers of opponent processes underlying ultradian sleep cycles
    Arcady A Putilov
    Research Institute for Molecular Biology and Biophysics, Siberian Branch of the Russian Academy of Medical Sciences, Novosibirsk, Russia
    Chronobiol Int 28:287-99. 2011
  2. ncbi Rate of oxygen consumption in seasonal and non-seasonal depression
    Boris B Pinchasov
    Institute for General Pathology and Human Ecology, Siberian Branch, Russian Academy of Medical Sciences, 2, Timakova Street, Novosibirsk 630117, Russia
    World J Biol Psychiatry 3:101-4. 2002
  3. ncbi Generalizability of Frequency Weighting Curve for Extraction of Spectral Drowsy Component From the EEG Signals Recorded in Eyes-Closed Condition
    Arcady A Putilov
    Research Institute for Molecular Biology and Biophysics, Novosibirsk, Russia
    Clin EEG Neurosci . 2016
  4. doi Association of an individual's ability to overcome desire to fall asleep with a higher anterior-posterior gradient in electroencephalographic indexes of sleep pressure
    Arcady A Putilov
    Research Institute for Molecular Biology and Biophysics, Siberian Branch of the Russian Academy of Medical Sciences, 2, Timakova Street, Novosibirsk 630117, Russia Electronic address
    Int J Psychophysiol . 2017
  5. ncbi Age-associated Advance of Sleep Times Relative to the Circadian Phase of Alertness-Sleepiness Rhythm: Can it be Explained by Changes in Ratios Between Strengths of the Underlying Oscillatory Processes?
    Arcady A Putilov
    Nipkowstr, 12489 Berlin, Germany
    Curr Aging Sci 9:44-56. 2016
  6. doi Rapid Changes in Scores on Principal Components of the EEG Spectrum do not Occur in the Course of "Drowsy" Sleep of Varying Length
    Arcady A Putilov
    Research Institute for Molecular Biology and Biophysics, Siberian Branch of the Russian Academy of Medical Sciences, Novosibirsk, Russia
    Clin EEG Neurosci 46:147-52. 2015
  7. doi Calibration of an objective alertness scale
    Arcady A Putilov
    Research Institute for Molecular Biology and Biophysics, Siberian Branch of the Russian Academy of Medical Sciences, 2, Timakova Street, Novosibirsk 630117, Russia Electronic address
    Int J Psychophysiol 94:69-75. 2014
  8. doi When does this cortical area drop off? Principal component structuring of the EEG spectrum yields yes-or-no criteria of local sleep onset
    Arcady A Putilov
    Research Institute for Molecular Biology and Biophysics, Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russia Electronic address
    Physiol Behav 133:115-21. 2014
  9. ncbi Principal component structuring of the non-REM Sleep EEG spectrum in older adults yields age-related changes in the sleep and wake drives
    Arcady A Putilov
    11, Nipkowstr, 12489 Berlin, Germany
    Curr Aging Sci 6:280-93. 2013
  10. doi Construction and validation of the EEG analogues of the Karolinska sleepiness scale based on the Karolinska drowsiness test
    Arcady A Putilov
    Research Institute for Molecular Biology and Biophysics, Siberian Branch of the Russian Academy of Medical Sciences, 2, Timakova Street, Novosibirsk 630117, Russia
    Clin Neurophysiol 124:1346-52. 2013

Collaborators

  • Boris B Pinchasov
  • Oleg V Grischin

Detail Information

Publications11

  1. doi Principal components of electroencephalographic spectrum as markers of opponent processes underlying ultradian sleep cycles
    Arcady A Putilov
    Research Institute for Molecular Biology and Biophysics, Siberian Branch of the Russian Academy of Medical Sciences, Novosibirsk, Russia
    Chronobiol Int 28:287-99. 2011
    ....
  2. ncbi Rate of oxygen consumption in seasonal and non-seasonal depression
    Boris B Pinchasov
    Institute for General Pathology and Human Ecology, Siberian Branch, Russian Academy of Medical Sciences, 2, Timakova Street, Novosibirsk 630117, Russia
    World J Biol Psychiatry 3:101-4. 2002
    ..This finding supports the suggestion that the behaviour disturbances typical for winter depression may represent a physiological feedback loop to energy conservation...
  3. ncbi Generalizability of Frequency Weighting Curve for Extraction of Spectral Drowsy Component From the EEG Signals Recorded in Eyes-Closed Condition
    Arcady A Putilov
    Research Institute for Molecular Biology and Biophysics, Novosibirsk, Russia
    Clin EEG Neurosci . 2016
    ..Such resemblance led to practical identity of scoring results. We concluded that spectral drowsy component scoring might be implemented into quick, simple, direct, transparent, and objective test of sleepiness...
  4. doi Association of an individual's ability to overcome desire to fall asleep with a higher anterior-posterior gradient in electroencephalographic indexes of sleep pressure
    Arcady A Putilov
    Research Institute for Molecular Biology and Biophysics, Siberian Branch of the Russian Academy of Medical Sciences, 2, Timakova Street, Novosibirsk 630117, Russia Electronic address
    Int J Psychophysiol . 2017
    ..It seems that the anterior-posterior gradients in the EEG indexes of sleep pressure are the objective correlates of individual's ability to overcome desire to fall asleep...
  5. ncbi Age-associated Advance of Sleep Times Relative to the Circadian Phase of Alertness-Sleepiness Rhythm: Can it be Explained by Changes in Ratios Between Strengths of the Underlying Oscillatory Processes?
    Arcady A Putilov
    Nipkowstr, 12489 Berlin, Germany
    Curr Aging Sci 9:44-56. 2016
    ....
  6. doi Rapid Changes in Scores on Principal Components of the EEG Spectrum do not Occur in the Course of "Drowsy" Sleep of Varying Length
    Arcady A Putilov
    Research Institute for Molecular Biology and Biophysics, Siberian Branch of the Russian Academy of Medical Sciences, Novosibirsk, Russia
    Clin EEG Neurosci 46:147-52. 2015
    ..Therefore, "drowsy" sleep can be regarded as occupying "no man's land", between the opponent driving forces for wake and sleep. ..
  7. doi Calibration of an objective alertness scale
    Arcady A Putilov
    Research Institute for Molecular Biology and Biophysics, Siberian Branch of the Russian Academy of Medical Sciences, 2, Timakova Street, Novosibirsk 630117, Russia Electronic address
    Int J Psychophysiol 94:69-75. 2014
    ..The results indicate that scores from 5 to 0 on the objective alertness scale can be anchored to minimal, mild, moderate, marked, severe, and disabling levels of sleepiness...
  8. doi When does this cortical area drop off? Principal component structuring of the EEG spectrum yields yes-or-no criteria of local sleep onset
    Arcady A Putilov
    Research Institute for Molecular Biology and Biophysics, Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russia Electronic address
    Physiol Behav 133:115-21. 2014
    ..Therefore, it was concluded that such zero-crossing decline can serve as a reliable, simple, and practically useful yes-or-no marker of drop off event in a given cortical area. ..
  9. ncbi Principal component structuring of the non-REM Sleep EEG spectrum in older adults yields age-related changes in the sleep and wake drives
    Arcady A Putilov
    11, Nipkowstr, 12489 Berlin, Germany
    Curr Aging Sci 6:280-93. 2013
    ..e., a better ability to cope with daytime sleepiness and sleep loss vs. difficulty of falling asleep, decreased total nighttime sleep, "lightened" and fragmentized sleep, unwanted early morning awakenings, etc.)...
  10. doi Construction and validation of the EEG analogues of the Karolinska sleepiness scale based on the Karolinska drowsiness test
    Arcady A Putilov
    Research Institute for Molecular Biology and Biophysics, Siberian Branch of the Russian Academy of Medical Sciences, 2, Timakova Street, Novosibirsk 630117, Russia
    Clin Neurophysiol 124:1346-52. 2013
    ..The Karolinska drowsiness test (KDT) was applied to construct physiological alertness scales and to validate them against such well-known instrument of subjective sleepiness assessment as the Karolinska sleepiness scale (KSS)...
  11. doi Quantification of sleepiness through principal component analysis of the electroencephalographic spectrum
    Arcady A Putilov
    Research Institute for Molecular Biology and Biophysics, Siberian Branch of the Russian Academy of Medical Sciences, Novosibirsk, Russia
    Chronobiol Int 29:509-22. 2012
    ..This result indicates the possibility of deriving an objective index of physiological sleepiness by applying principal component analysis to the wake EEG spectrum...