Optimization of recurrence quantification analysis for detecting the presence of multiple sclerosis.
S. Carrubba, C. Frilot II & A.A. MARINO. J. Med. Biol. Eng. 39:806–815, 2019. [PDF]

An original method for staging sleep based on dynamical analysis of a single EEG signal.
C. Frilot II, D.E. McCarty & A.A. MARINO. J. Neurosci. Methods 308:135–141, 2018. [PDF]

Brain-related biomarkers: past, present, and a possible future.
A.A. MARINO. Presentation. Neurology Grand Rounds, LSU Health Sciences Center – Shreveport, May 2, 2014. [PDF]

Trigeminal neurons detect cellphone radiation: thermal or nonthermal is not the question.
A.A. MARINO, P.Y. Kim & C. Frilot II. Electromagn. Biol. Med. 36:123–131, 2016. [PDF]

Classification of sleep states based on brain electrophysiology assessed using recurrence analysis of single-channel EEG.
C. Frilot II, D.E. McCarty, P.Y. Kim & A.A. MARINO. Presentation. SLEEP 2016: 30^th Annual Meeting, Associated Professional Sleep Societies. Denver, CO, June 11–15, 2016. [PDF]

Accurate identification of subjects with obstructive sleep apnea using recurrence analysis of the sleep EEG.
C. Frilot II, D.E. McCarty, P.Y. Kim & A.A. MARINO. Presentation. SLEEP 2015: 29^th Annual Meeting, Associated Professional Sleep Societies. Seattle, WA, June 2015. [PDF]

Analysis of brain recurrence.
C. Frilot II, P.Y. Kim, S. Carrubba, D.E. McCarty, A.L. Chesson Jr. & A.A. MARINO. In Recurrence Quantification Analysis, Understanding Complex Systems. C.L. Webber Jr. & N. Marwan, eds. Springer International Publishing, 2014. [PDF]

Two group classification of patients with obstructive sleep apnea based on analysis of brain recurrence.
P.Y. Kim, D.E. McCarty, L. Wang, C. Frilot II, A.L. Chesson Jr. & A.A. MARINO. Clin. Neurophysiol. 125:1174–1181, 2014. [PDF]

Recurrence analysis of the EEG during sleep accurately identifies subjects with mental health symptoms.
D.E. McCarty, N.M. Punjabi, P.Y. Kim, C. Frilot II & A.A. MARINO. Psych. Res. 224:335–340, 2014. [PDF]

The fingerprint of rapid eye movement: its algorithmic detection in the sleep electroencephalogram using a single derivation.
D.E. McCarty, P.Y. Kim, C. Frilot II, A.L. Chesson, Jr. & A.A. MARINO. Clin. EEG Neurosci. 47:298–304, 2014. [PDF]

The EEG fingerprint of REM: analysis of brain recurrence (ABR) accurately identifies REM using a single EEG lead.
D.E. McCarty, P.Y. Kim, C. Frilot II & A.A. MARINO. Presentation. SLEEP 2014: 28^th Annual Meeting, Associated Professional Sleep Societies. Minneapolis, MN, June 2014. [PDF]

The EEG during sleep is a window to the mind: recurrence analysis of the sleep EEG accurately identifies subjects with mental health symptoms.
D.E. McCarty, N.M. Punjabi, P.Y. Kim, C. Frilot II & A.A. MARINO. Presentation. SLEEP 2014: 28^th Annual Meeting, Associated Professional Sleep Societies. Minneapolis, MN, June 2014. [PDF]

Sensory transduction of weak electromagnetic fields: role of glutamate neurotransmission mediated by NMDA receptors.
C. Frilot II, S. Carrubba & A.A. MARINO. Neuroscience 258:184–191, 2014. [PDF]

EEG recurrence markers and sleep quality.
L. Wang, P.Y. Kim, D.E. McCarty, C. Frilot II, A.L. Chesson Jr., S. Carrubba & A.A. MARINO. J. Neurol. Sci. 331:26–30, 2013. [PDF]

Continuous EEG-based dynamic markers for sleep depth and phasic events.
S. Carrubba, P.Y. Kim, D.E. McCarty, A.L. Chesson Jr., C. Frilot & A.A. MARINO. J. Neurosci. Meth. 208:1–9, 2012. [PDF]

Increased determinism in brain electrical activity occurs in association with multiple sclerosis.
S. Carrubba, A. Minagar, A.L. Chesson Jr., C. Frilot & A.A. MARINO. Neurol. Res. 34:286–290, 2012. [PDF]

Development and validation of a continuous EEG-based marker for sleep depth.
A.A. MARINO, S. Carrubba, D.E. McCarty, A.L. Chesson Jr., P.Y. Kim & C. Frilot II. Presentation. SLEEP 2012: 26^th Annual Meeting, Associated Professional Sleep Societies. Boston, MA, June 2012. [PDF]

Transient and steady-state magnetic fields induce increased fluorodeoxyglucose uptake in the rat hindbrain.
C. Frilot II, S. Carrubba & A.A. MARINO. Synapse 65: 617–623, 2011. [PDF]

Numerical analysis of recurrence plots to detect effect of environmental-strength magnetic fields on human brain electrical activity.
S. Carrubba, C. Frilot II, A.L. Chesson Jr. & A.A. MARINO. Med. Eng. Phys. 32: 898–907, 2010. [PDF]

Dynamic brain states during sleep: initial studies.
A.A. MARINO, S. Carrubba, D. McCarty, A.L. Chesson Jr. & C. Frilot II. Presentation. SLEEP 2011: 25^th Anniversary Meeting, Associated Professional Sleep Societies. Minneapolis, MN, June 11–15, 2011. [PDF]

Simulated MR magnetic field induces steady-state changes in brain dynamics: implications for interpretation of functional MR studies.
A.A. MARINO, S. Carrubba, C. Frilot II, A.L. Chesson Jr. & E. Gonzalez-Toledo. Magn. Reson. Med. 64: 349–357, 2010. [PDF]

Brain recurrence analysis: not your father’s EEG.
A.A. MARINO. Presentation. Department of Neurology Grand Rounds, LSU Health Sciences Center–Shreveport, September 3, 2010. [PDF]

Multiple sclerosis impairs ability to detect abrupt appearance of a subliminal stimulus.
S. Carrubba, A. Minagar, E. Gonzalez Toledo, A.L. Chesson, C. Frilot II & A.A. MARINO. Neurolog. Res. 32: 297–302, 2010. [PDF]

Mobile-phone pulse triggers evoked potentials.
S. Carrubba, C. Frilot II, A.L. Chesson Jr. & A.A. MARINO. Neurosci. Lett. 469: 164–168, 2010. [PDF]

The electric field is a sufficient physical determinant of the human magnetic sense.
S. Carrubba, C. Frilot, II, F.X. Hart, A.L. Chesson, Jr. & A.A. MARINO. Int. J. Radiat. Biol. 85: 622–632, 2009. [PDF]

Evidence that transduction of electromagnetic field is mediated by a force receptor.
A.A. MARINO, S. Carrubba, C. Frilot & A.L. Chesson, Jr. Neurosci. Lett. 452: 119–123, 2009. [PDF]

Magnetosensory function in rats: localization using positron emission tomography.
C. Frilot II, S. Carrubba & A.A. MARINO. Synapse 63:421–428, 2009. [PDF]

Neurobiophysics.
O.V. Kolomytkin & A.A. MARINO. In Handbook of Molecular Biophysics: Methods and Applications. H.G. Bohr, Ed. Wiley VCH, pp. 523–556, 2009. [PDF]

Method for detection of changes in the EEG induced by the presence of sensory stimuli.
S. Carrubba, C. Frilot, A.L. Chesson, Jr. & A.A. MARINO. J. Neurosci. Meth. 173: 41–46, 2008. [PDF]

The effects of low-frequency environmental-strength electromagnetic fields on brain electrical activity: a critical review of the literature.
S. Carrubba & A.A. Marino. Electromagn. Biol. Med. 27:83–101, 2008. [PDF]

Magnetosensory evoked potentials: consistent nonlinear phenomena.
S. Carrubba, C. Frilot, A.L. Chesson, Jr., C.L. Webber, Jr., J.P. Zbilut & A.A. MARINO. Neurosci. Res. 60: 95–105, 2008. [PDF]

Nonlinear magnetosensory evoked potentials.
S. Carrubba & A.A. MARINO. Presentation. 10^th Experimental Chaos Conference. Catania, Italy, 2008. [PDF]

Nonlinear EEG activation evoked by low-strength low-frequency magnetic fields.
S. Carrubba, C. Frilot, A.L. Chesson & A.A. MARINO. Neurosci. Lett. 417: 212–216, 2007. [PDF]

Glycoproteins bound to ion channels mediate detection of electric fields: a proposed mechanism and supporting evidence.
O.V. Kolomytkin, S. Dunn, F.X. Hart, C. Frilot, D. Kolomytkin & A.A. MARINO. Bioelectromagnetics 28:379–385, 2007. [PDF]

Evidence of a nonlinear human magnetic sense.
S. Carrubba, C. Frilot II, A.L. Chesson Jr. & A.A. MARINO. Neuroscience 144: 356–367, 2007. [PDF]

Detection of nonlinear event-related potentials.
S. Carrubba, C. Frilot, A. Chesson & A.A. MARINO. J. Neurosci. Meth. 157: 39–47, 2006. [PDF]

Evidence of a nonlinear human magnetic sense.
S. Carrubba & A.A. MARINO. Presentation. 28^th Annual Meeting, Bioelectromagnetics Society. Cancun, Mexico, June 11–15, 2006. [PDF]

Effect of low-frequency magnetic fields on brain electrical activity in human subjects.
A.A. MARINO, E. Nilsen, A.L. Chesson Jr., & C. Frilot. Clin. Neurophysiol. 115: 1195–1201, 2004. [PDF]

Localization of electroreceptive function in rabbits.
A.A. MARINO, E. Nilsen & C. Frilot. Phys. Behav. 79:803–810, 2003. [PDF]

Nonlinear changes in brain electrical activity due to cell-phone radiation.
A.A. MARINO, E. Nilsen & C. Frilot. Bioelectromagnetics 24: 339–346, 2003. [PDF]

Extracellular currents alter gap junction intercellular communication in synovial fibroblasts.
A.A. MARINO, O.V. Kolomytkin & C. Frilot. Bioelectromagnetics 24: 199–205, 2003. [PDF]

Comment on “Proposed test for detection of nonlinear responses in biological preparations exposed to RF energy.”
A.A. MARINO & C. Frilot. Bioelectromagnetics 24: 70–72, 2003. [PDF]

Action potentials from neuroblastoma cells in weak magnetic fields.
H. Sonnier, O. Kolomytkin & A. MARINO. Neurosci. Lett. 337: 163–166, 2003. [PDF]

Nonlinearity in biological systems: How can physics help?
A.A. MARINO & C. Frilot. In Energy and Information Transfer in Biological Systems. F. Musumeci, L.S. Brizhik, and M.-W. Ho, eds. World Scientific Press, pp. 245–263, 2002. [PDF]

Consistent magnetic-field induced dynamical changes in rabbit brain activity detected by recurrence quantification analysis.
A.A. MARINO, E. Nilsen & C. Frilot. Brain Res. 951:301–310, 2002. [PDF]

Nonlinearity in biological systems: how can physics help?
A.A. MARINO. Presentation. International Workshop on Energy and Information Transfer in Biological Systems. Catania, Italy, 2002. [PDF]

Neurobiophysics.
H. Sonnier & A.A. MARINO. in Encyclopedia of Applied Physics, Update 1, Wiley-VCH Publishers, Inc., pp. 401–405, 1999. [PDF]

Neurobiophysics.
A.A. MARINO, in Encyclopedia of Applied Physics, Vol. 11, VCH Publishers, Inc., pp. 297–322, 1994. [PDF]