Abstract
| Original language | English |
|---|---|
| Pages (from-to) | 976-991 |
| Number of pages | 16 |
| Journal | Physiological Measurement |
| Volume | 38 |
| Issue number | 5 |
| DOIs | |
| Publication status | Published - 2017 |
Keywords
- autonomic nervous system
- baroreflex
- cerebral autoregulation
- head-up tilt
- heart rate variability
- information transfer
- postural syncope
- adolescent
- adult
- arterial pressure
- brain circulation
- disease predisposition
- electrocardiography
- entropy
- faintness
- female
- heart rate
- human
- male
- pathophysiology
- plethysmography
- signal processing
- transcranial Doppler ultrasonography
- young adult
- Adolescent
- Adult
- Arterial Pressure
- Cerebrovascular Circulation
- Disease Susceptibility
- Electrocardiography
- Entropy
- Female
- Heart Rate
- Humans
- Male
- Plethysmography
- Signal Processing, Computer-Assisted
- Syncope
- Ultrasonography, Doppler, Transcranial
- Young Adult
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Cerebrovascular and cardiovascular variability interactions investigated through conditional joint transfer entropy in subjects prone to postural syncope. / Bari, V.; De Maria, B.; Mazzucco, C.E. et al.
In: Physiological Measurement, Vol. 38, No. 5, 2017, p. 976-991.Research output: Contribution to journal › Article › peer-review
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TY - JOUR
T1 - Cerebrovascular and cardiovascular variability interactions investigated through conditional joint transfer entropy in subjects prone to postural syncope
AU - Bari, V.
AU - De Maria, B.
AU - Mazzucco, C.E.
AU - Rossato, G.
AU - Tonon, D.
AU - Nollo, G.
AU - Faes, L.
AU - Porta, A.
N1 - Cited By :3 Export Date: 2 March 2018 CODEN: PMEAE Correspondence Address: Porta, A.; Universita degli Studi di Milano, Dipartimento di Scienze Biomediche per la Salute, IRCCS Policlinico San Donato, Laboratorio di Modellistica di Sistemi Complessi, Via F. Fellini 4, Italy; email: alberto.porta@unimi.it References: Aaslid, R., Lindegaard, K.F., Sorteberg, W., Nornes, H., Cerebral autoregulation dynamics in humans (1989) Stroke, 20, pp. 45-52; Aaslid, R., Markwalder, T.M., Nornes, H., Noninvasive transcranial Doppler ultrasound recording of flow velocity in basal cerebral arteries (1982) J. Neurosurg., 57, pp. 769-774; Akaike, H., A new look at the statistical novel identification (1974) IEEE Trans. Autom. Control, 19, pp. 716-723; Bari, V., Marchi, A., De Maria, B., Rossato, G., Nollo, G., Faes, L., Porta, A., Nonlinear effects of respiration on the crosstalk between cardiovascular and cerebrovascular control systems (2016) Phil. Trans. R. 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PY - 2017
Y1 - 2017
N2 - Objective: A model-based conditional transfer entropy approach was exploited to quantify the information transfer in cerebrovascular (CBV) and cardiovascular (CV) systems in subjects prone to develop postural syncope. Approach: Spontaneous beat-to-beat variations of mean cerebral blood flow velocity (MCBFV) derived from a transcranial Doppler device, heart period (HP) derived from surface electrocardiogram, mean arterial pressure (MAP) and systolic arterial pressure (SAP) derived from finger plethysmographic arterial pressure device were monitored at rest in supine position (REST) and during 60° head-up tilt (TILT) in 13 individuals (age mean ± standard deviation: 28 ± 9 years, min-max range: 18-44 years, 5 males) with a history of recurrent episodes of syncope (SYNC) and in 13 age- and gender-matched controls (NonSYNC). Respiration (R) obtained from a thoracic belt was acquired as well and considered as a conditioning signal in transfer entropy assessment. Synchronous sequences of 250 consecutive MCBFV, HP, MAP, SAP and R values were utilized to estimate the information genuinely transferred from MAP to MCBFV (i.e. disambiguated from R influences) and vice versa. Analogous indexes were computed from SAP to HP and vice versa. Traditional time and frequency domain analyses were carried out as well. Main results: SYNC subjects showed an increased genuine information transfer from MAP to MCBFV during TILT, while they did not exhibit the expected rise of the genuine information transfer from SAP to HP. Significance: We conclude that SYNC individuals featured an impaired cerebral autoregulation visible during TILT and were unable to activate cardiac baroreflex to cope with the postural challenge. Traditional frequency domain markers based on transfer function modulus, phase and coherence functions were less powerful or less specific in typifying the CBV and CV controls of SYNC individuals. Conditional transfer entropy approach can identify the impairment of CBV and CV controls and provide specific clues to identify subjects prone to develop postural syncope. © 2017 Institute of Physics and Engineering in Medicine.
AB - Objective: A model-based conditional transfer entropy approach was exploited to quantify the information transfer in cerebrovascular (CBV) and cardiovascular (CV) systems in subjects prone to develop postural syncope. Approach: Spontaneous beat-to-beat variations of mean cerebral blood flow velocity (MCBFV) derived from a transcranial Doppler device, heart period (HP) derived from surface electrocardiogram, mean arterial pressure (MAP) and systolic arterial pressure (SAP) derived from finger plethysmographic arterial pressure device were monitored at rest in supine position (REST) and during 60° head-up tilt (TILT) in 13 individuals (age mean ± standard deviation: 28 ± 9 years, min-max range: 18-44 years, 5 males) with a history of recurrent episodes of syncope (SYNC) and in 13 age- and gender-matched controls (NonSYNC). Respiration (R) obtained from a thoracic belt was acquired as well and considered as a conditioning signal in transfer entropy assessment. Synchronous sequences of 250 consecutive MCBFV, HP, MAP, SAP and R values were utilized to estimate the information genuinely transferred from MAP to MCBFV (i.e. disambiguated from R influences) and vice versa. Analogous indexes were computed from SAP to HP and vice versa. Traditional time and frequency domain analyses were carried out as well. Main results: SYNC subjects showed an increased genuine information transfer from MAP to MCBFV during TILT, while they did not exhibit the expected rise of the genuine information transfer from SAP to HP. Significance: We conclude that SYNC individuals featured an impaired cerebral autoregulation visible during TILT and were unable to activate cardiac baroreflex to cope with the postural challenge. Traditional frequency domain markers based on transfer function modulus, phase and coherence functions were less powerful or less specific in typifying the CBV and CV controls of SYNC individuals. Conditional transfer entropy approach can identify the impairment of CBV and CV controls and provide specific clues to identify subjects prone to develop postural syncope. © 2017 Institute of Physics and Engineering in Medicine.
KW - autonomic nervous system
KW - baroreflex
KW - cerebral autoregulation
KW - head-up tilt
KW - heart rate variability
KW - information transfer
KW - postural syncope
KW - adolescent
KW - adult
KW - arterial pressure
KW - brain circulation
KW - disease predisposition
KW - electrocardiography
KW - entropy
KW - faintness
KW - female
KW - heart rate
KW - human
KW - male
KW - pathophysiology
KW - plethysmography
KW - signal processing
KW - transcranial Doppler ultrasonography
KW - young adult
KW - Adolescent
KW - Adult
KW - Arterial Pressure
KW - Cerebrovascular Circulation
KW - Disease Susceptibility
KW - Electrocardiography
KW - Entropy
KW - Female
KW - Heart Rate
KW - Humans
KW - Male
KW - Plethysmography
KW - Signal Processing, Computer-Assisted
KW - Syncope
KW - Ultrasonography, Doppler, Transcranial
KW - Young Adult
U2 - 10.1088/1361-6579/aa638c
DO - 10.1088/1361-6579/aa638c
M3 - Article
SN - 0967-3334
VL - 38
SP - 976
EP - 991
JO - Physiological Measurement
JF - Physiological Measurement
IS - 5
ER -