Guidelines for Reporting Articles on Psychiatry and Heart rate variability (GRAPH): recommendations to advance research communication

Translational Psychiatry

Volumn 6, Issue 5, 2016, Pages

  Quintana, D S ^a   Alvares, G A ^b,c   Heathers, J A J ^d,e  

^a UNIVERSITY OF OSLO   (Norway)

^b UNIVERSITY OF WESTERN AUSTRALIA   (Australia)

^c The Co operative Research Centre for Living With Autism   (Australia)

^d UNIVERSITY OF SYDNEY   (Australia)

^e POZNAN UNIVERSITY OF MEDICAL SCIENCES   (Poland)

Author keywords

[No Author keywords available]

Indexed keywords

CHECKLIST; HEART RATE; HUMAN; PATIENT SELECTION; PRACTICE GUIDELINE; PSYCHIATRY; RESEARCH; STANDARDS;

CHECKLIST; GUIDELINES AS TOPIC; HEART RATE; HUMANS; PATIENT SELECTION; PSYCHIATRY; RESEARCH REPORT;

EID: 84981170377     PISSN: None     EISSN: 21583188     Source Type: Journal    
DOI: 10.1038/TP.2016.73     Document Type: Review

References (185)

1. Hon EH, Lee S. Electronic evaluation of the fetal heart rate patterns preceding death, further observations. Am J Obstet Gynecol 1963; 87: 814–826.
2. Kleiger RE, Miller JP, Bigger JT, Moss AJ. Decreased heart rate variability and its association with increased mortality after acute myocardial infarction. Am J Cardiol 1987; 59: 256–262.
3. Bigger JT, Fleiss JL, Steinman RC, Rolnitzky LM, Kleiger RE, Rottman JN. Frequency domain measures of heart period variability and mortality after myocardial infarction. Circulation 1992; 85: 164–171.
4. Cripps T, Malik M, Farrell T, Camm A. Prognostic value of reduced heart rate variability after myocardial infarction: clinical evaluation of a new analysis method. Br Heart J 1991; 65: 14–19.
5. Bigger JT, Fleiss JL, Rolnitzky LM, Steinman RC. Frequency domain measures of heart period variability to assess risk late after myocardial infarction. J Am Coll Cardiol 1993; 21: 729–736.
6. Akselrod S, Gordon D, Ubel FA, Shannon DC, Berger A, Cohen RJ. Power spectrum analysis of heart rate fluctuation: a quantitative probe of beat-to-beat cardiovascular control. Science 1981; 213: 220–222.
7. Camm A, Malik M, Bigger J, Breithardt G, Cerutti S, Cohen R et al. Heart rate variability: standards of measurement, physiological interpretation and clinical use. Task Force of the European Society of Cardiology and the North American Society of Pacing and Electrophysiology. Circulation 1996; 93: 1043–1065.
8. Pagani M, Lombardi F, Guzzetti S, Sandrone G, Rimoldi O, Malfatto G et al. Power spectral density of heart rate variability as an index of sympatho-vagal interaction in normal and hypertensive subjects. J Hypertens Suppl 1984; 2: S383–S385.
9. Beauchaine TP, Thayer JF. Heart rate variability as a transdiagnostic biomarker of psychopathology. Int J Psychophysiol 2015; 98: 338–350.
10. Cuthbert BN, Insel TR. Toward the future of psychiatric diagnosis: the seven pillars of RDoC. BMC Med 2013; 11: 126.
11. Quintana DS, McGregor IS, Guastella AJ, Malhi GS, Kemp AH. A meta‐analysis on the impact of alcohol dependence on short‐term resting‐state heart rate variability: implications for cardiovascular risk. Alcoholism: Clinical and Experimental Research 2013; 37: E23–E29.
12. Chalmers J, Quintana DS, Abbott MJ, Kemp AH. Anxiety disorders are associated with reduced heart rate variability: a meta-analysis. Front Psychiatry 2014; 5: 80.
13. Kemp AH, Quintana DS, Gray MA, Felmingham KL, Brown K, Gatt JM. Impact of depression and antidepressant treatment on heart rate variability: a review and meta-analysis. Biol Psychiatry 2010; 67: 1067–1074.
14. Alvares GA, Quintana DS, Hickie IB, Guastella AJ. Autonomic nervous system dysfunction in psychiatric disorders and the impact of psychotropic medications: a systematic review and meta-analysis. J Psychiatry Neurosci 2016; 41: 89-104.
15. Stein PK, Domitrovich PP, Hui N, Rautaharju P, Gottdiener J. Sometimes higher heart rate variability is not better heart rate variability: results of graphical and nonlinear analyses. J Cardiovasc Electrophysiol 2005; 16: 954–959.
16. Thayer JF, Yamamoto SS, Brosschot JF. The relationship of autonomic imbalance, heart rate variability and cardiovascular disease risk factors. Int J Cardiol 2010; 141: 122–131.
17. Hennekens CH, Hennekens AR, Hollar D, Casey DE. Schizophrenia and increased risks of cardiovascular disease. Am Heart J 2005; 150: 1115–1121.
18. Newcomer JW, Hennekens CH. Severe mental illness and risk of cardiovascular disease. JAMA 2007; 298: 1794–1796.
19. Quintana DS, Guastella AJ, Outhred T, Hickie IB, Kemp AH. Heart rate variability is associated with emotion recognition: direct evidence for a relationship between the autonomic nervous system and social cognition. Int J Psychophysiol 2012; 86: 168–172.
20. Bal E, Harden E, Lamb D, Van Hecke AV, Denver JW, Porges SW. Emotion recognition in children with autism spectrum disorders: relations to eye gaze and autonomic state. J Autism Dev Disord 2010; 40: 358–370.
21. Hansen AL, Johnsen BH, Sollers JJ III, Stenvik K, Thayer JF. Heart rate variability and its relation to prefrontal cognitive function: the effects of training and detraining. Eur J Appl Physiol 2004; 93: 263–272.
22. Mulder G, Mulder LJ. Information processing and cardiovascular control. Psychophysiology 1981; 18: 392–402.
23. Thayer JF, Lane RD. A model of neurovisceral integration in emotion regulation and dysregulation. J Affect Disord 2000; 61: 201–216.
24. Porges SW. Orienting in a defensive world: mammalian modifications of our evolutionary heritage. A polyvagal theory. Psychophysiology 1995; 32: 301–318.
25. Vaschillo E, Lehrer P, Rishe N, Konstantinov M. Heart rate variability biofeedback as a method for assessing baroreflex function: a preliminary study of resonance in the cardiovascular system. Appl Psychophysiol Biofeedback 2002; 27: 1–27.
26. Vaschillo EG, Vaschillo B, Lehrer PM. Characteristics of resonance in heart rate variability stimulated by biofeedback. Appl Psychophysiol Biofeedback 2006; 31: 129–142.
27. Karavidas MK, Lehrer PM, Vaschillo E, Vaschillo B, Marin H, Buyske S et al. Preliminary results of an open label study of heart rate variability biofeedback for the treatment of major depression. Appl Psychophysiol Biofeedback 2007; 32: 19–30.
28. Wells R, Outhred T, Heathers JA, Quintana DS, Kemp AH. Matter over mind: a randomised-controlled trial of single-session biofeedback training on performance anxiety and heart rate variability in musicians. PLoS One 2012; 7: e46597.
29. Tan G, Dao TK, Farmer L, Sutherland RJ, Gevirtz R. Heart rate variability (HRV) and posttraumatic stress disorder (PTSD): a pilot study. Appl Psychophysiol Biofeedback 2011; 36: 27–35.
30. Eddie D, Kim C, Lehrer P, Deneke E, Bates ME. A pilot study of brief heart rate variability biofeedback to reduce craving in young adult men receiving inpatient treatment for substance use disorders. Appl Psychophysiol Biofeedback 2014; 39: 181–192.
31. Beckham AJ, Greene TB, Meltzer-Brody S. A pilot study of heart rate variability biofeedback therapy in the treatment of perinatal depression on a specialized perinatal psychiatry inpatient unit. Arch Womens Ment Health 2013; 16: 59–65.
32. Kamath M, Upton A, Talalla A, Fallen E. Effect of vagal nerve electrostimulation on the power spectrum of heart rate variability in man. Pacing Clin Electrophysiol 1992; 15: 235–243.
33. Zhang Y, Popović ZB, Bibevski S, Fakhry I, Sica DA, Van Wagoner DR et al. Chronic vagus nerve stimulation improves autonomic control and attenuates systemic inflammation and heart failure progression in a canine high-rate pacing model. Circulation 2009; 2: 692–699.
34. George MS, Rush AJ, Marangell LB, Sackeim HA, Brannan SK, Davis SM et al. A one-year comparison of vagus nerve stimulation with treatment as usual for treatment-resistant depression. Biol Psychiatry 2005; 58: 364–373.
35. Daban C, Martinez-Aran A, Cruz N, Vieta E. Safety and efficacy of Vagus Nerve Stimulation in treatment-resistant depression. A systematic review. J Affect Disord 2008; 110: 1–15.
36. Nemeroff CB, Mayberg HS, Krahl SE, McNamara J, Frazer A, Henry TR et al. VNS therapy in treatment-resistant depression: clinical evidence and putative neurobiological mechanisms. Neuropsychopharmacology 2006; 31: 1345–1355.
37. Rush AJ, Sackeim HA, Marangell LB, George MS, Brannan SK, Davis SM et al. Effects of 12 months of vagus nerve stimulation in treatment-resistant depression: a naturalistic study. Biol Psychiatry 2005; 58: 355–363.
38. Peuker ET, Filler TJ. The nerve supply for human auricle. Clin Anat 2002; 15: 35–37.
39. Fang J, Rong P, Hong Y, Fan Y, Liu J, Wang H et al. Transcutaneous vagus nerve stimulation modulates default mode network in major depressive disorder. Biol Psychiatry 2015; 79: 266–273.
40. Hein E, Nowak M, Kiess O, Biermann T, Bayerlein K, Kornhuber J et al. Auricular transcutaneous electrical nerve stimulation in depressed patients: a randomized controlled pilot study. J Neural Transm 2013; 120: 821–827.
41. Sassi R, Cerutti S, Lombardi F, Malik M, Huikuri HV, Peng C-K et al. Advances in heart rate variability signal analysis: joint position statement by the e-Cardiology ESC Working Group and the European Heart Rhythm Association co-endorsed by the Asia Pacific Heart Rhythm Society. Europace 2015; 17: 1341–1353.
42. Ioannidis JP, Fanelli D, Dunne DD, Goodman SN. Meta-research: evaluation and improvement of research methods and practices. PLoS Biol 2015; 13: e1002264.
43. Open Science Collaboration. An open, large-scale, collaborative effort to estimate the reproducibility of psychological science. Perspect Psychol Sci 2012; 7: 657–660.
44. Tak LM, Riese H, de Bock GH, Manoharan A, Kok IC, Rosmalen JG. As good as it gets? A meta-analysis and systematic review of methodological quality of heart rate variability studies in functional somatic disorders. Biol Psychol 2009; 82: 101–110.
45. Mulligan A, Hall L, Raphael E. Peer review in a changing world: an international study measuring the attitudes of researchers. J Am Soc Inform Sci Technol 2013; 64: 132–161.
46. Ritchie SJ, Wiseman R, French CC. Failing the future: three unsuccessful attempts to replicate Bem’s ‘retroactive facilitation of recall’ effect. PLoS ONE 2012; 7: e33423.
47. Klein RA, Ratliff KA, Vianello M, Adams RB Jr, Bahník Š, Bernstein MJ et al. Investigating variation in replicability. Soc Psychol 2015.
48. Open Science Collaboration. Estimating the reproducibility of psychological science. Science 2015; 349: aac4716
49. Fletcher PC, Grafton ST. Repeat after me: replication in clinical neuroimaging is critical. NeuroImage 2013; 2: 247-248.
50. Button KS, Ioannidis JP, Mokrysz C, Nosek BA, Flint J, Robinson ES et al. Power failure: why small sample size undermines the reliability of neuroscience. Nat Rev Neurosci 2013; 14: 365–376.
51. Prinz F, Schlange T, Asadullah K. Believe it or not: how much can we rely on published data on potential drug targets? Nat Rev Drug Discov 2011; 10: 712–712.
52. Cumming G Understanding the New Statistics: Effect Sizes, Confidence Intervals, and Meta-Analysis. Routledge: New York, USA, 2013.
53. Sweeney L. k-nonymity: a model for protecting privacy. Int J Uncertain Fuzz 2002; 10: 557–570.
54. Li N, Li T, Venkatasubramanian S. t-closeness: Privacy beyond k-anonymity and l-diversity. IEEE 23rd International Conference on Data Engineering, ICDE 2007. 15 April 2007; Istanbul, Turkey; IEEE, 2007.
55. Machanavajjhala A, Kifer D, Gehrke J, Venkitasubramaniam M. l-diversity: privacy beyond k-anonymity. ACM Trans Knowledge Discov Data 2007; 1: 3.
56. Mennes M, Biswal BB, Castellanos FX, Milham MP. Making data sharing work: the FCP/INDI experience. Neuroimage 2013; 82: 683–691.
57. Sarwate AD, Plis SM, Turner JA, Arbabshirani MR, Calhoun VD. Sharing privacysensitive access to neuroimaging and genetics data: a review and preliminary validation. Front Neuroinformatics 2014; 8: 35.
58. Antman EM, Benjamin EJ, Harrington RA, Houser SR, Peterson ED, Bauman MA et al. Acquisition, analysis, and sharing of data in 2015 and beyond: a survey of the landscape a conference report from the American Heart Association Data Summit 2015. J Am Heart Assoc 2015; 4: e002810.
59. Bohannon J. Replication effort provokes praise—and ‘bullying’ charges. Science 2014; 344: 788–789.
60. Mitchell AJ, Kakkadasam V. Ability of nurses to identify depression in primary care, secondary care and nursing homes—a meta-analysis of routine clinical accuracy. Int J Nurs Stud 2011; 48: 359–368.
61. Mitchell AJ, Rao S, Vaze A. Can general practitioners identify people with distress and mild depression? A meta-analysis of clinical accuracy. J Affect Disord 2011; 130: 26–36.
62. Ventura J, Liberman RP, Green MF, Shaner A, Mintz J. Training and quality assurance with the Structured Clinical Interview for DSM-IV (SCID-I/P). Psychiatry Res 1998; 79: 163–173.
63. Basco MR, Bostic JQ, Davies D, Rush AJ, Witte B, Hendrickse W et al. Methods to improve diagnostic accuracy in a community mental health setting. Am J Psychiatry 2014; 157: 1599–1605.
64. Foa EB, Cashman L, Jaycox L, Perry K. The validation of a self-report measure of posttraumatic stress disorder: The Posttraumatic Diagnostic Scale. Psychol Assess 1997; 9: 445.
65. Mulrow CD, Williams JW, Gerety MB, Ramirez G, Montiel OM, Kerber C. Casefinding instruments for depression in primary care settings. Ann Intern Med 1995; 122: 913–921.
66. Di Nardo PA, Moras K, Barlow DH, Rapee RM, Brown TA. Reliability of DSM-III-R anxiety disorder categories: using the Anxiety Disorders Interview Schedule— Revised (ADIS-R). Arch Gen Psychiatry 1993; 50: 251–256.
67. Alvares GA, Quintana DS, Kemp AH, Van Zwieten A, Balleine BW, Hickie IB et al. Reduced heart rate variability in social anxiety disorder: associations with gender and symptom severity. PLoS ONE 2013; 8: 7.
68. Kessler RC, Chiu WT, Demler O, Walters EE. Prevalence, severity, and comorbidity of 12-month DSM-IV disorders in the National Comorbidity Survey Replication. Arch Gen Psychiatry 2005; 62: 617–627.
69. Kemp AH, Quintana DS, Felmingham KL, Matthews S, Jelinek HF. Depression, comorbid anxiety disorders, and heart rate variability in physically healthy, unmedicated patients: Implications for cardiovascular risk. PLoS ONE 2012; 7: e30777.
70. Schwartz S, Susser E. The use of well controls: an unhealthy practice in psychiatric research. Psychol Med 2011; 41: 1127–1131.
71. Henrich J, Heine SJ, Norenzayan A. Most people are not WEIRD. Nature 2010; 466: 29–29.
72. Schechter D, Lebovitch R. Normal controls are expensive to find: methods to improve cost-effectiveness of the screening evaluation. Psychiatry Res 2005; 136: 69–78.
73. Koskinen T, Kähönen M, Jula A, Laitinen T, Keltikangas-Järvinen L, Viikari J et al. Short-term heart rate variability in healthy young adults: the Cardiovascular Risk in Young Finns Study. Auton Neurosci 2009; 145: 81–88.
74. Saboul D, Pialoux V, Hautier C. The breathing effect of the LF/HF ratio in the heart rate variability measurements of athletes. Eur J Sport Sci 2014; 14: S282–S288.
75. Rennie KL, Hemingway H, Kumari M, Brunner E, Malik M, Marmot M. Effects of moderate and vigorous physical activity on heart rate variability in a British study of civil servants. Am J Epidemiol 2003; 158: 135–143.
76. Quintana DS, Guastella AJ, McGregor IS, Hickie IB, Kemp AH. Moderate alcohol intake is related to increased heart rate variability in young adults: Implications for health and well‐being. Psychophysiology 2013; 50: 1202–1208.
77. Hayano J, Yamada M, Sakakibara Y, Fujinami T, Yokoyama K, Watanabe Y et al. Short-and long-term effects of cigarette smoking on heart rate variability. Am J Cardiol 1990; 65: 84–88.
78. O'Brien I, O'Hare P, Corrall R. Heart rate variability in healthy subjects: effect of age and the derivation of normal ranges for tests of autonomic function. Br Heart J 1986; 55: 348–354.
79. Voss A, Heitmann A, Schroeder R, Peters A, Perz S. Short-term heart rate variability—age dependence in healthy subjects. Physiol Meas 2012; 33: 1289.
80. Kawas C, Gray S, Brookmeyer R, Fozard J, Zonderman A. Age-specific incidence rates of Alzheimer’s disease The Baltimore Longitudinal Study of Aging. Neurology 2000; 54: 2072–2077.
81. Jousilahti P, Vartiainen E, Tuomilehto J, Puska P. Sex, age, cardiovascular risk factors, and coronary heart disease a prospective follow-up study of 14 786 middle-aged men and women in Finland. Circulation 1999; 99: 1165–1172.
82. Kostis JB, McCrone K, Moreyra A, Gotzoyannis S, Aglitz M, Natarajan N et al. Premature ventricular complexes in the absence of identifiable heart disease. Circulation 1981; 63: 1351–1356.
83. Haruta D, Akahoshi M, Hida A, Sera N, Imaizumi M, Ichimaru S et al. Prognostic significance of premature ventricular contractions without obvious heart diseases determined by standard 12‐lead electrocardiography considering their morphology. Ann Noninvasive Electrocardiol 2015; 21: 142-151.
84. Liao D, Cai J, Barnes RW, Tyroler HA, Rautaharju P, Holme I et al. Association of cardiac automatic function and the development of hypertension the ARIC Study. Am J Hypertens 1996; 9: 1147–1156.
85. Tsuji H, Larson MG, Venditti FJ, Manders ES, Evans JC, Feldman CL et al. Impact of reduced heart rate variability on risk for cardiac events the Framingham Heart Study. Circulation 1996; 94: 2850–2855.
86. Huikuri HV, Mäkikallio TH, Peng C-K, Goldberger AL, Hintze U, Møller M. Fractal correlation properties of RR interval dynamics and mortality in patients with depressed left ventricular function after an acute myocardial infarction. Circulation 2000; 101: 47–53.
87. Koskinen T, Kähönen M, Jula A, Mattsson N, Laitinen T, Keltikangas‐Järvinen L et al. Metabolic syndrome and short‐term heart rate variability in young adults. Diabet Med 2009; 26: 354–361.
88. Fukuta H, Hayano J, Ishihara S, Sakata S, Mukai S, Ohte N et al. Prognostic value of heart rate variability in patients with end‐stage renal disease on chronic haemodialysis. Nephrol Dial Transplant 2003; 18: 318–325.
89. Ewing D, Winney R. Autonomic function in patients with chronic renal failure on intermittent haemodialysis. Nephron 1975; 15: 424–429.
90. Axelrod S, Lishner M, Oz O, Bernheim J, Ravid M. Spectral analysis of fluctuations in heart rate: an objective evaluation of autonomic nervous control in chronic renal failure. Nephron 1987; 45: 202–206.
91. Niemelä MJ, Airaksinen KJ, Huikuri HV. Effect of beta-blockade on heart rate variability in patients with coronary artery disease. J Am Coll Cardiol 1994; 23: 1370–1377.
92. Heathers JA. Smartphone-enabled pulse rate variability: an alternative methodology for the collection of heart rate variability in psychophysiological research. Int J Psychophysiol 2013; 89: 297–304.
93. Poh M-Z, McDuff DJ, Picard RW. Non-contact automated cardiac pulse measurements using video imaging and blind source separation. Opt Express 2010; 18: 10762–10774.
94. Jezewski J, Roj D, Wrobel J, Horoba K. A novel technique for fetal heart rate estimation from Doppler ultrasound signal. Biomed Eng Online 2011; 10: 92.
95. Suzuki S, Matsui T, Sugawara K, Asao T, Kotani K. An approach to remote monitoring of heart rate variability (HRV) using microwave radar during a calculation task. J Physiol Anthropol 2011; 30: 241–249.
96. A smart cushion for real-time heart rate monitoring. Proceedings of the Biomedical Circuits and Systems Conference (BioCAS), IEEE 2012, 28-30 November 2012; Hsinchu, Taiwan; IEEE, 2012.
97. The electrically noncontacting ECG measurement on the toilet seat using the capacitively-coupled insulated electrodes. Proceedings of the Engineering in Medicine and Biology Society, 2004. IEMBS '04. 26th Annual International Conference of the IEEE 2004, 1-5 September 2004; San Francisco, USA; IEEE, 2004.
98. Quintana DS, Heathers JAJ, Kemp AH. On the validity of using the Polar RS800 heart rate monitor for heart rate variability research. Eur J Appl Physiol 2012; 112: 4179–4180.
99. Swan M. The quantified self: Fundamental disruption in big data science and biological discovery. Big Data 2013; 1: 85–99.
100. Method to filter ECGs and evaluate clinical parameter distortion using realistic ECG model parameter fitting. Proceedings of the Computers in Cardiology, 2005, 25-28 September 2005; Lyon, France; IEEE, 2005.
101. Riniolo T, Porges SW. Inferential and descriptive influences on measures of respiratory sinus arrhythmia: sampling rate, R‐wave trigger accuracy, and variance estimates. Psychophysiology 1997; 34: 613–621.
102. Merri M, Farden DC, Mottley JG, Titlebaum EL. Sampling frequency of the electrocardiogram for spectral analysis of the heart rate variability. IEEE Trans Biomed Eng 1990; 37: 99–106.
103. Fei L, Copie X, Malik M, Camm AJ. Short-and long-term assessment of heart rate variability for risk stratification after acute myocardial infarction. Am J Cardiol 1996; 77: 681–684.
104. Esco MR, Flatt AA. Ultra-short-term heart rate variability indexes at rest and postexercise in athletes: evaluating the agreement with accepted recommendations. J Sports Sci Med 2014; 13: 535.
105. Heathers JA. Everything Hertz: methodological issues in short-term frequency-domain HRV. Front Physiol 2014; 5: 177.
106. Sijtsema J, Roon VA, Groot F, Riese H. Early life adversities and adolescent antisocial behavior: the role of cardiac autonomic nervous system reactivity in the TRAILS Study. Biol Psychol 2015; 110: 24–33.
107. Keen L, Turner AD, Mwendwa D, Callender C, Campbell A. Depressive symptomatology and respiratory sinus arrhythmia in a non-clinical sample of middleaged African Americans. Biol Psychol 2015; 108: 56–61.
108. Gaebler M, Daniels JK, Lamke J-P, Fydrich T, Walter H. Heart rate variability and its neural correlates during emotional face processing in social anxiety disorder. Biol Psychol 2013; 94: 319–330.
109. Mukai S, Hayano J. Heart rate and blood pressure variabilities during graded head-up tilt. J Appl Physiol 1995; 78: 212–216.
110. Stolarz K, Staessen JA, Kuznetsova T, Tikhonoff V, Babeanu S, Casiglia E et al. Host and environmental determinants of heart rate and heart rate variability in four European populations. J Hypertens 2003; 21: 525–535.
111. Chan H-L, Lin M-A, Chao P-K, Lin C-H. Correlates of the shift in heart rate variability with postures and walking by time–frequency analysis. Comput Methods Programs Biomed 2007; 86: 124–130.
112. Vlemincx E, Van Diest I, Van den Bergh O. A sigh following sustained attention and mental stress: effects on respiratory variability. Physiol Behav 2012; 107: 1–6.
113. Quintana DS, Heathers JA. Considerations in the assessment of heart rate variability in biobehavioral research. Front Psychol 2014; 5: 805.
114. Grant CC, van Rensburg DC, Strydom N, Viljoen M. Importance of tachogram length and period of recording during noninvasive investigation of the autonomic nervous system. Ann Noninvasive Electrocardiol 2011; 16: 131–139.
115. Montano N, Ruscone TG, Porta A, Lombardi F, Pagani M, Malliani A. Power spectrum analysis of heart rate variability to assess the changes in sympathovagal balance during graded orthostatic tilt. Circulation 1994; 90: 1826–1831.
116. Vaschillo EG, Vaschillo B, Buckman JF, Nguyen-Louie T, Heiss S, Pandina RJ et al. The effects of sighing on the cardiovascular system. Biol Psychol 2015; 106: 86–95.
117. Werner GG, Ford BQ, Mauss IB, Schabus M, Blechert J, Wilhelm FH. High cardiac vagal control is related to better subjective and objective sleep quality. Biol Psychol 2015; 106: 79–85.
118. McGinley JJ, Friedman BH. Autonomic responses to lateralized cold pressor and facial cooling tasks. Psychophysiology 2015; 52: 416–424.
119. Jennings JR, Kamarck T, Stewart C, Eddy M, Johnson P. Alternate cardiovascular baseline assessment techniques: vanilla or resting baseline. Psychophysiology 1992; 29: 742–750.
120. Massin MM, Maeyns K, Withofs N, Ravet F, Gérard P. Circadian rhythm of heart rate and heart rate variability. Arch Dis Child 2000; 83: 179–182.
121. Guo Y-F, Stein PK. Circadian rhythm in the cardiovascular system: considerations in non-invasive electrophysiology. Card Electrophysiol Rev 2002; 6: 267–272.
122. Yamasaki Y, Kodama M, Matsuhisa M, Kishimoto M, Ozaki H, Tani A et al. Diurnal heart rate variability in healthy subjects: effects of aging and sex difference. Am J Physiol Heart Circ Physiol 1996; 271: H303–H310.
123. Lu C-L, Zou X, Orr WC, Chen J. Postprandial changes of sympathovagal balance measured by heart rate variability. Dig Dis Sci 1999; 44: 857–861.
124. Angelone A, Coulter NA. Respiratory sinus arrhythmia: a frequency dependent phenomenon. J Appl Physiol 1964; 19: 479–482.
125. Hirsch JA, Bishop B. Respiratory sinus arrhythmia in humans: how breathing pattern modulates heart rate. Am J Physiol Heart Circ Physiol 1981; 241: H620–H629.
126. Brown TE, Beightol LA, Koh J, Eckberg DL. Important influence of respiration on human RR interval power spectra is largely ignored. J Appl Physiol 1993; 75: 2310–2317.
127. Grossman P, Taylor EW. Toward understanding respiratory sinus arrhythmia: relations to cardiac vagal tone, evolution and biobehavioral functions. Biol Psychol 2007; 74: 263–285.
128. Denver JW, Reed SF, Porges SW. Methodological issues in the quantification of respiratory sinus arrhythmia. Biol Psychol 2007; 74: 286–294.
129. Eckberg DL. Point: counterpoint: respiratory sinus arrhythmia is due to a central mechanism vs. respiratory sinus arrhythmia is due to the baroreflex mechanism. J Appl Physiol 2009; 106: 1740–1742.
130. Saul JP, Berger R, Albrecht P, Stein S, Chen MH, Cohen R. Transfer function analysis of the circulation: unique insights into cardiovascular regulation. Am J Physiol Heart Circ Physiol 1991; 261: H1231–H1245.
131. Lázaro J, Alcaine A, Romero D, Gil E, Laguna P, Pueyo E et al. Electrocardiogram derived respiratory rate from QRS slopes and R-wave angle. Ann Biomed Eng 2014; 42: 2072–2083.
132. Sinnecker D, Dommasch M, Barthel P, Müller A, Dirschinger RJ, Hapfelmeier A et al. Assessment of mean respiratory rate from ECG recordings for risk stratification after myocardial infarction. J Electrocardiol 2014; 47: 700–704.
133. Bailón R, Sörnmo L, Laguna P. A robust method for ECG-based estimation of the respiratory frequency during stress testing. IEEE Trans Biomed Eng 2006; 53: 1273–1285.
134. Lázaro J, Gil E, Bailón R, Mincholé A, Laguna P. Deriving respiration from photoplethysmographic pulse width. Med Biol Eng Comput 2013; 51: 233–242.
135. Krygier JR, Heathers JA, Shahrestani S, Abbott M, Gross JJ, Kemp AH. Mindfulness meditation, well-being, and heart rate variability: a preliminary investigation into the impact of intensive Vipassana meditation. Int J Psychophysiol 2013; 89: 305–313.
136. Oldenburg O, Lamp B, Faber L, Teschler H, Horstkotte D, Töpfer V. Sleep‐disordered breathing in patients with symptomatic heart failure A contemporary study of prevalence in and characteristics of 700 patients. Eur J Heart Fail 2007; 9: 251–257.
137. Sharafkhaneh A, Giray N, Richardson P, Young T, Hirshkowitz M. Association of psychiatric disorders and sleep apnea in a large cohort. Sleep 2005; 28: 1405.
138. Wallis L, Healy M, Undy MB, Maconochie I. Age related reference ranges for respiration rate and heart rate from 4 to 16 years. Arch Dis Child 2005; 90: 1117–1121.
139. Nardi AE, Freire RC, Zin WA. Panic disorder and control of breathing. Respir Physiol Neurobiol 2009; 167: 133–143.
140. Abelson JL, Weg JG, Nesse RM, Curtis GC. Persistent respiratory irregularity in patients with panic disorder. Biol Psychiatry 2001; 49: 588–595.
141. Vlemincx E, Abelson JL, Lehrer PM, Davenport PW, Van Diest I, Van den Bergh O. Respiratory variability and sighing: a psychophysiological reset model. Biol Psychol 2013; 93: 24–32.
142. Monfredi O, Lyashkov AE, Johnsen A-B, Inada S, Schneider H, Wang R et al. Biophysical characterization of the underappreciated and important relationship between heart rate variability and heart rate. Hypertension 2014; 64: 1334–1343.
143. Sacha J, Pluta W. Alterations of an average heart rate change heart rate variability due to mathematical reasons. Int J Cardiol 2008; 128: 444–447.
144. Sacha J. Why should one normalize heart rate variability with respect to average heart rate. Front Physiol 2013; 4: 306.
145. Houtveen JH, Rietveld S, Geus EJ. Contribution of tonic vagal modulation of heart rate, central respiratory drive, respiratory depth, and respiratory frequency to respiratory sinus arrhythmia during mental stress and physical exercise. Psychophysiology 2002; 39: 427–436.
146. Pan J, Tompkins WJ. A real-time QRS detection algorithm. IEEE Trans Biomed Eng 1985; 3: 230–236.
147. Clifford GD, Tarassenko L. Quantifying errors in spectral estimates of HRV due to beat replacement and resampling. IEEE Trans Biomed Eng 2005; 52: 630–638.
148. Clifford GD, Azuaje F, McSharry P. Advanced Methods and Tools for ECG Data Analysis. Artech House Inc: Boston, MA, 2006.
149. Maron BJ, Pelliccia A. The heart of trained athletes cardiac remodeling and the risks of sports, including sudden death. Circulation 2006; 114: 1633–1644.
150. D'Alessandro A, Boeckelmann I, Hammwhöner M, Goette A. Nicotine, cigarette smoking and cardiac arrhythmia: an overview. Eur J Prev Cardiol 2012; 19: 297–305.
151. Mehta A, Jain A, Mehta M, Billie M. Caffeine and cardiac arrhythmias. An experimental study in dogs with review of literature. Acta Cardiol 1996; 52: 273–283.
152. Juliano LM, Griffiths RR. A critical review of caffeine withdrawal: empirical validation of symptoms and signs, incidence, severity, and associated features. Psychopharmacology 2004; 176: 1–29.
153. Berntson GG, Stowell JR. ECG artifacts and heart period variability: don't miss a beat!. Psychophysiology 1998; 35: 127–132.
154. Pelliccia A, Maron BJ, Culasso F, Di Paolo FM, Spataro A, Biffi A et al. Clinical significance of abnormal electrocardiographic patterns in trained athletes. Circulation 2000; 102: 278–284.
155. Viitasalo M, Kala R, Eisalo A. Ambulatory electrocardiographic recording in endurance athletes. Br Heart J 1982; 47: 213–220.
156. Calvert A, Lown B, Gorlin R. Ventricular premature beats and anatomically defined coronary heart disease. Am J Cardiol 1977; 39: 627–634.
157. Schmidt G, Malik M, Barthel P, Schneider R, Ulm K, Rolnitzky L et al. Heart-rate turbulence after ventricular premature beats as a predictor of mortality after acute myocardial infarction. Lancet 1999; 353: 1390–1396.
158. Sade E, Aytemir K, Oto A, Nazli N, Özmen F, Özkutlu H et al. Assessment of Heart Rate Turbulence in the Acute Phase of Myocardial Infarction for Long‐Term Prognosis. Pacing Clin Electrophysiol 2003; 26: 544–550.
159. La Rovere MT, Maestri R, Pinna GD, Sleight P, Febo O. Clinical and haemodynamic correlates of heart rate turbulence as a non-invasive index of baroreflex sensitivity in chronic heart failure. Clin Sci 2011; 121: 279–284.
160. Stein PK, Le Q, Domitrovich PP. Development of more erratic heart rate patterns is associated with mortality post–myocardial infarction. J Electrocardiol 2008; 41: 110–115.
161. Stein PK, Le Q, Domitrovich PP, Investigators C. Development of more erratic heart rate patterns is associated with mortality post–myocardial infarction. J Electrocardiol 2008; 41: 110–115.
162. Wiklund U, Hörnsten R, Karlsson M, Suhr OB, Jensen SM. Abnormal heart rate variability and subtle atrial arrhythmia in patients with familial amyloidotic polyneuropathy. Ann Noninvasive Electrocardiol 2008; 13: 249–256.
163. Salo MA, Huikuri HV, Seppanen T. Ectopic beats in heart rate variability analysis: effects of editing on time and frequency domain measures. Ann Noninvasive Electrocardiol 2001; 6: 5–17.
164. Heathers JA, Fink E, Kuhnert RL, de Rosnay M. Blood volume pulse (BVP) derived vagal tone (VT) between 5 and 7 years of age: A methodological investigation of measurement and longitudinal stability. Dev Psychobiol 2014; 56: 23–35.
165. Peltola MA. Role of editing of R–R interval in the analysis of heart rate variability. Front Physiol 2012; 3: 148.
166. Bravi A, Longtin A, Seely A. Review and classification of variability analysis techniques with clinical applications. Biomed Eng Online 2011; 10: 90.
167. Smith A-L, Owen H, Reynolds KJ. Heart rate variability indices for very short-term (30 beat) analysis. Part 1: survey and toolbox. J Clin Monit Comput 2013; 27: 569–576.
168. Burr RL. Interpretation of normalized spectral heart rate variability indices in sleep research: a critical review. Sleep 2007; 30: 913-919.
169. Willson K, Francis DP. A direct analytical demonstration of the essential equivalence of detrended fluctuation analysis and spectral analysis of RR interval variability. Physiol Meas 2003; 24: N1-N7.
170. Hayano J, Sakakibara Y, Yamada A, Yamada M, Mukai S, Fujinami T et al. Accuracy of assessment of cardiac vagal tone by heart rate variability in normal subjects. Am J Cardiol 1991; 67: 199–204.
171. Lomb NR. Least-squares frequency analysis of unequally spaced data. Astrophys Space Sci 1976; 39: 447–462.
172. Scargle JD. Studies in astronomical time series analysis. II-Statistical aspects of spectral analysis of unevenly spaced data. Astrophys J 1982; 263: 835–853.
173. Martin W, Flandrin P. Wigner-Ville spectral analysis of nonstationary processes. IEEE Trans Acoustics Speech Signal Proc 1985; 33: 1461–1470.
174. Chemla D, Young J, Badilini F, Maison-Blanche P, Affres H, Lecarpentier Y et al. Comparison of fast Fourier transform and autoregressive spectral analysis for the study of heart rate variability in diabetic patients. Int J Cardiol 2005; 104: 307–313.
175. Cowan MJ, Pike K, Burr RL, Cain KC, Narayanan SB. Description of time-and frequency-domain-based measures of heart rate variability in individuals taking antiarrhythmics, beta blockers, calcium channel blockers, and/or antihypertensive drugs after sudden cardiac arrest. J Electrocardiol 1992; 26: 1–13.
176. Billman GE. Heart rate variability–a historical perspective. Front Physiol 2011; 2: 86.
177. Goldstein DS, Bentho O, Park MY, Sharabi Y. Low‐frequency power of heart rate variability is not a measure of cardiac sympathetic tone but may be a measure of modulation of cardiac autonomic outflows by baroreflexes. Exp Physiol 2011; 96: 1255–1261.
178. Billman GE. The LF/HF ratio does not accurately measure cardiac sympatho-vagal balance. Front Physiology 2013; 4: 26.
179. Berntson GG, Bigger JT, Eckberg DL, Grossman P, Kaufmann PG, Malik M et al. Heart rate variability: origins, methods, and interpretive caveats. Psychophysiology 1997; 34: 623–648.
180. Tak LM, Meijer A, Manoharan A, de Jonge P, Rosmalen JG. More than the sum of its parts: meta-analysis and its potential to discover sources of heterogeneity in psychosomatic medicine. Psychosom Med 2010; 72: 253–265.
181. Ripke S, Wray NR, Lewis CM, Hamilton SP, Weissman MM, Breen G et al. A megaanalysis of genome-wide association studies for major depressive disorder. Mol Psychiatry 2013; 18: 497–511.
182. ANDCLEMENTS, M. A., D. L. JONES, I. K. SHARMA, M. E. NIGHTINGALE, M. J. GARRATT, K. J. FITZGERALD, A. M. MACKENZIE, AND B. P. J. MOLLOY. 2002. Phylogenetic systematics of the Diurideae (Orchidaceae) based on the ITS and 5.8S coding region of nuclear ribosomal DNA. Lindleyana 17: 135–171.
183. de Wit SJ, Alonso P, Schweren L, Mataix-Cols D, Lochner C, Menchón JM et al. Multicenter voxel-based morphometry mega-analysis of structural brain scans in obsessive-compulsive disorder. Am J Psychiatry 2014.
184. Hallahan B, Newell J, Soares JC, Brambilla P, Strakowski SM, Fleck DE et al. Structural magnetic resonance imaging in bipolar disorder: an international collaborative mega-analysis of individual adult patient data. Biol Psychiatry 2011; 69: 326–335.
185. Lewandowsky S, Bishop D. Research integrity: don't let transparency damage science. Nature 2016; 529: 459-461.