Cited by 37Cardiovascular Syncope and Autonomic DisordersHeart Rate Variability and Autonomic ControlPsychosomatic Disorders and Their Treatments

The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

Vulnerability to simple faints is predicted by regional differences in brain anatomy

Open access

Abstract

Neurocardiogenic syncope (NCS, simple fainting) is a common and typically benign familial condition, which rarely may result in traumatic injury or hypoxic convulsions. NCS is associated with emotional triggers, anxiety states and stress. However, the etiology of NCS, as a psychophysiological process, is poorly understood. We therefore investigated the relationship between NCS and brain anatomy. We studied a non-clinical sample of eighteen individuals with histories characteristic of NCS, and nineteen matched controls who had never fainted. We recorded fainting frequency, resting heart rate variability measures and anxiety levels. Structural T1-weighted magnetic resonance images (MRI) were acquired at 1.5 T. Associations between brain morphometry (regional gray and white matter volumes) and NCS, resting physiology and anxiety were tested using voxel-based morphometry (VBM). Compared to controls, NCS participants had lower regional brain volume within medulla and midbrain (a priori regions of interest). Moreover, across NCS individuals, lower gray matter volume in contiguous regions of left caudate nucleus predicted enhanced parasympathetic cardiac tone, fainting frequency and anxiety levels. Our findings provide preliminary evidence for a hierarchical anatomical basis to NCS. First, differences in the volume of brainstem centers supporting cardiovascular homeostasis may relate to constitutional predisposition to NCS. Second, differences in the structural organization of the caudate nucleus in NCS individuals may relate to fainting frequency via interactions between emotional state and parasympathetic control of the heart. These observations highlight the application of VBM to the identification of neurovisceral mechanisms relevant to psychosomatic medicine and the neuroscience of emotion.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1016/j.neuroimage.2009.05.038

Cites

4 of 4 references verified0 citation errors · 0 not checkable

Statistics

Figures

Fig. 1 (A) Significant differences (two-tailed) in medullary gray matter volumes in individuals with a history of NCS (n = 18) and controls (n = 19), superimposed on T1-weighted images (medullary region centered at − 5, − 39, − 62). (B) Scatter plot of medullary gray matter for NCS and control groups, showing group means. (C) Significant differences (two-tailed) in midbrain white matter volumes in NCS individuals and controls. (D) Scatter plot of medullary gray matter for NCS and control groups, showing group means.
Fig. 1 (A) Significant differences (two-tailed) in medullary gray matter volumes in individuals with a history of NCS (n = 18) and controls (n = 19), superimposed on T1-weighted images (medullary region centered at − 5, − 39, − 62). (B) Scatter plot of medullary gray matter for NCS and control groups, showing group means. (C) Significant differences (two-tailed) in midbrain white matter volumes in NCS individuals and controls. (D) Scatter plot of medullary gray matter for NCS and control groups, showing group means.CC BY · PubMed Central
Fig. 2 (A) Left caudate region showing significant negative correlations between regional gray matter volumes and fainting frequency, within NCS participants. (B) Significant negative logarithmic relationship between HF-HRV and fainting frequency, within NCS participants [p = 0.005, R2 = 0.422]. (C) Left caudate region showing significant negative correlations between regional gray matter volumes and HF-HRV, within NCS participants. Contrast estimates reveal this correlation was driven primarily by NCS participants.
Fig. 2 (A) Left caudate region showing significant negative correlations between regional gray matter volumes and fainting frequency, within NCS participants. (B) Significant negative logarithmic relationship between HF-HRV and fainting frequency, within NCS participants [p = 0.005, R2 = 0.422]. (C) Left caudate region showing significant negative correlations between regional gray matter volumes and HF-HRV, within NCS participants. Contrast estimates reveal this correlation was driven primarily by NCS participants.CC BY · PubMed Central
Fig. 3 (A) caudate regions showing significant negative correlations between regional gray matter volumes and anxiety levels, within NCS participants. (B) Within NCS participants, left caudate regions showing significant negative correlations between regional gray matter volumes and anxiety levels (red), fainting frequency (yellow) and HF-HRV (green). These regions are also shown magnified and presented at p = 0.005.
Fig. 3 (A) caudate regions showing significant negative correlations between regional gray matter volumes and anxiety levels, within NCS participants. (B) Within NCS participants, left caudate regions showing significant negative correlations between regional gray matter volumes and anxiety levels (red), fainting frequency (yellow) and HF-HRV (green). These regions are also shown magnified and presented at p = 0.005.CC BY · PubMed Central

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 4 references

Research works printed but not linked: 59

  1. Ashburner, 2007, A fast diffeomorphic image registration algorithm, Neuroimage, 38, 95, 10.1016/j.neuroimage.2007.07.007 · DOI · Paper page
  2. Ashburner, 2000, Voxel-based morphometry—the methods, Neuroimage, 11, 805, 10.1006/nimg.2000.0582 · DOI · Paper page
  3. Bergouignan, 2009, Can voxel based morphometry, manual segmentation and automated segmentation equally detect hippocampal volume differences in acute depression?, Neuroimage, 45, 29, 10.1016/j.neuroimage.2008.11.006 · DOI
  4. Brignole, 2004, Guidelines on management (diagnosis and treatment) of syncope-update 2004. Executive summary, task force on Syncope, European Society of Cardiology, Eur. Heart J., 25, 2054, 10.1016/j.ehj.2004.09.004 · DOI
  5. Cavun, 2001, Evidence that hemorrhagic hypotension is mediated by the ventrolateral periaqueductal gray region, Am. J. Physiol., 281, R747
  6. Cohen, 2000, An association between anxiety and neurocardiogenic syncope during head-up tilt table testing, Pacing Clin. Electrophysiol., 23, 837, 10.1111/j.1540-8159.2000.tb00852.x · DOI
  7. Della Nave, 2008, Brain structural damage in Friedreich's ataxia, J. Neurol. Neurosurg. Psychiatry, 79, 82, 10.1136/jnnp.2007.124297 · DOI
  8. Donadio, 2007, Arousal elicits exaggerated inhibition of sympathetic nerve activity in phobic syncope patients, Brain, 130, 1653, 10.1093/brain/awm037 · DOI
  9. Eickhoff, 2005, A new SPM toolbox for combining probabilistic cytoarchitectonic maps and functional imaging data, NeuroImage, 25, 1325, 10.1016/j.neuroimage.2004.12.034 · DOI · Paper page
  10. Ellenbogen, 1997, Neural monitoring of vasovagal syncope, Pacing Clin. Electrophysiol., 20, 788, 10.1111/j.1540-8159.1997.tb03905.x · DOI
  11. Friedman, 1993, Autonomic characteristics of nonclinical panic and blood phobia, Biol. Psychiatry, 34, 298, 10.1016/0006-3223(93)90087-T · DOI
  12. Furlan, 1998, Cardiac autonomic patterns preceding occasional vasovagal reactions in healthy humans, Circulation, 98, 1756, 10.1161/01.CIR.98.17.1756 · DOI
  13. Ginestroni, 2008, Brain structural damage in spinocerebellar ataxia type 1: a VBM study, J. Neurol., 255, 1153, 10.1007/s00415-008-0860-4 · DOI
  14. Golanov, 2001, Neurons of nucleus of the solitary tract synchronize the EEG and elevate cerebral blood flow via a novel medullary area, Brain Res., 892, 1, 10.1016/S0006-8993(00)02949-8 · DOI
  15. Good, 2001, A voxel-based morphometric study of ageing in 465 normal adult human brains, NeuroImage, 14, 21, 10.1006/nimg.2001.0786 · DOI · Paper page
  16. Gracie, 2006, The role of psychological factors in response to treatment in neurocardiogenic (vasovagal) syncope, Europace, 8, 636, 10.1093/europace/eul073 · DOI
  17. Gray, 2009, Following one's heart: cardiac rhythms gate central initiation of sympathetic reflexes, J. Neurosci., 29, 1817, 10.1523/JNEUROSCI.3363-08.2009 · DOI
  18. Grubb, 2005, Clinical practice. Neurocardiogenic syncope, N. Engl. J. Med., 352, 1004, 10.1056/NEJMcp042601 · DOI
  19. Grubb, 1991, Cerebral vasoconstriction during head-upright tilt-induced vasovagal syncope. A paradoxic and unexpected response, Circulation, 84, 1157, 10.1161/01.CIR.84.3.1157 · DOI
  20. Hainsworth, 2004, Pathophysiology of syncope, Clin. Auton. Res., 14, 18, 10.1007/s10286-004-1004-2 · DOI
  21. Hauser, 2006, Visualization and quantification of disease progression in multiple system atrophy, Mov. Disord., 21, 1674, 10.1002/mds.21032 · DOI
  22. Henderson, 2000, Caudal midline medulla mediates behaviourally-coupled but not baroreceptor-mediated vasodepression, Neuroscience, 98, 779, 10.1016/S0306-4522(00)00117-2 · DOI
  23. Heslop, 2002, Haemorrhage-evoked compensation and decompensation are mediated by distinct caudal midline medullary regions in the urethane-anaesthetised rat, Neuroscience, 113, 555, 10.1016/S0306-4522(02)00161-6 · DOI
  24. Jardine, 1998, Autonomic control of vasovagal syncope, Am. J. Physiol., 274, H2110
  25. Kapoor, 2000, Syncope, N. Engl. J. Med., 343, 1856, 10.1056/NEJM200012213432507 · DOI
  26. Kochiadakis, 1997, Autonomic nervous system activity during tilt testing in syncopal patients, estimated by power spectral analysis of heart rate variability, Pacing Clin. Electrophysiol., 20, 1332, 10.1111/j.1540-8159.1997.tb06788.x · DOI
  27. Kochiadakis, 1998, Spectral analysis of heart rate variability during tilt-table testing in patients with vasovagal syncope, Int. J. Cardiol., 64, 185, 10.1016/S0167-5273(98)00039-4 · DOI
  28. Kouakam, 1999, Inadequate sympathovagal balance in response to orthostatism in patients with unexplained syncope and a positive head up tilt test, Heart, 82, 312, 10.1136/hrt.82.3.312 · DOI
  29. Kouakam, 2002, Prevalence and prognostic significance of psychiatric disorders in patients evaluated for recurrent unexplained syncope, Am. J. Cardiol., 89, 530, 10.1016/S0002-9149(01)02292-5 · DOI
  30. Lee, 1996, Excessive myocardial contraction in vasovagal syncope demonstrated by echocardiography during head-up tilt, Clin. Cardiol., 19, 137, 10.1002/clc.4960190212 · DOI
  31. Lipsitz, 1990, Spectral characteristics of heart rate variability before and during postural tilt: relations to aging and risk of syncope, Circulation, 81, 1803, 10.1161/01.CIR.81.6.1803 · DOI
  32. Maldjian, 2003, An automated method for neuroanatomic and cytoarchitectonic Atlas-based Interrogation of fMRI data sets, NeuroImage, 19, 1233, 10.1016/S1053-8119(03)00169-1 · DOI
  33. Mark, 1983, The Bezold–Jarisch reflex revisited: clinical implications of inhibitory reflexes originating in the heart, J. Am. Coll. Cardiol., 1, 90, 10.1016/S0735-1097(83)80014-X · DOI
  34. Mathias, 1998, Frequency of family history in vasovagal syncope, Lancet, 352, 33, 10.1016/S0140-6736(05)79513-1 · DOI
  35. Mathias, 2001, Observations on recurrent syncope and presyncope in 641 patients, Lancet, 357, 348, 10.1016/S0140-6736(00)03642-4 · DOI
  36. Minnerop, 2007, Voxel-based morphometry and voxel-based relaxometry in multiple system atrophy—a comparison between clinical subtypes and correlations with clinical parameters, Neuroimage, 36, 1086, 10.1016/j.neuroimage.2007.04.028 · DOI
  37. Morillo, 1994, Time and frequency domain analysis of heart rate variability during orthostatic stress in patients with neurally mediated syncope, Am. J. Cardiol., 74, 1258, 10.1016/0002-9149(94)90559-2 · DOI
  38. Morino, 1994, Effects of microinjection of N-methyl-d-aspartic acid into the nucleus tractus solitarii on cerebral blood flow in anesthetized rats, J. Auton. Nerv. Syst., 49, 159, 10.1016/0165-1838(94)90135-X · DOI
  39. Mosqueda-Garcia, 1997, Sympathetic and baroreceptor reflex function in neurally mediated syncope evoked by tilt, J. Clin. Invest., 99, 2736, 10.1172/JCI119463 · DOI · Paper page
  40. Oberg, 1972, Increased activity in left ventricular receptors during occlusion of caval veins in the cat. A possible cause of the vaso-vagal reaction, Acta Physiol. Scand., 85, 164, 10.1111/j.1748-1716.1972.tb05247.x · DOI
  41. Piccirillo, 2004, Heart rate and blood pressure variability in subjects with vasovagal syncope, Clin. Sci., 107, 55, 10.1042/CS20030327 · DOI
  42. Robertson, 1999, Neurally mediated syncope: pathophysiology and implications for treatment, Am. J. Med. Sci., 317, 102, 10.1097/00000441-199902000-00004 · DOI
  43. Robinson, 1995, Reduced caudate nucleus volume in obsessive–compulsive disorder, Arch. Gen. Psychiatry, 52, 393, 10.1001/archpsyc.1995.03950170067009 · DOI
  44. Rubin, 1992, Determination by high-resolution single-photon emission computed tomography, Arch. Gen. Psychiatry, 49, 695, 10.1001/archpsyc.1992.01820090023004 · DOI
  45. Sarasin, 2001, Prospective evaluation of patients with syncope: a population-based study, Am. J. Med., 111, 177, 10.1016/S0002-9343(01)00797-5 · DOI
  46. Schadt, 1991, Hemodynamic and neurohumoral responses to acute hypovolemia in conscious mammals, Am. J. Physiol., 260, H305
  47. Shalev, 1991, Echocardiographic demonstration of decreased left ventricular dimensions and vigorous myocardial contraction during syncope induced by head-up tilt, J. Am. Coll. Cardiol., 18, 746, 10.1016/0735-1097(91)90798-E · DOI
  48. Sharpey-Schafer, 1956, Emergencies in general practice: syncope, Br. Med. J., 1, 506, 10.1136/bmj.1.4965.506 · DOI
  49. Silverstein, 1982, Patients with syncope admitted to medical intensive care units, JAMA, 248, 1185, 10.1001/jama.1982.03330100023024 · DOI
  50. Sprengelmeyer, 1995, Associative learning in degenerative neostriatal disorders: contrasts in explicit and implicit remembering between Parkinson's and Huntington's diseases, Mov. Disord., 10, 51, 10.1002/mds.870100110 · DOI
  51. Steptoe, 1988, Emotional fainting and the psychophysiologic response to blood and injury: autonomic mechanisms and coping strategies, Psychosom. Med., 50, 402, 10.1097/00006842-198807000-00008 · DOI · Paper page
  52. Sutton, 1992, Proposed classification for tilt induced vasovagal syncope, Eur. J. Cardiac. Pacing Electrophysiol., 3, 180
  53. Swedo, 1992, Cerebral glucose metabolism in childhood-onset obsessive–compulsive disorder. Revisualization during pharmacotherapy, Arch. Gen. Psychiatry, 49, 690, 10.1001/archpsyc.1992.01820090018003 · DOI
  54. Troy, 2003, Haemodynamic response to haemorrhage: distinct contributions of midbrain and forebrain structures, Auton. Neurosci., 108, 1, 10.1016/S1566-0702(03)00152-8 · DOI
  55. Uchida, 2008, Regional gray matter abnormalities in panic disorder: a voxel-based morphometry study, Psychiatry Res., 163, 21, 10.1016/j.pscychresns.2007.04.015 · DOI
  56. Vagg, 2008, Hypovolemic shock: critical involvement of a projection from the ventrolateral periaqueductal gray to the caudal midline medulla, Neuroscience, 152, 1099, 10.1016/j.neuroscience.2007.10.070 · DOI
  57. Verner, 2008, Retrograde projections to a discrete apneic site in the midline medulla oblongata of the rat, Brain Res., 1208, 128, 10.1016/j.brainres.2008.02.028 · DOI
  58. Woermann, 1999, Voxel-by-voxel comparison of automatically segmented cerebral gray matter—a rater-independent comparison of structural MRI in patients with epilepsy, Neuroimage, 10, 373, 10.1006/nimg.1999.0481 · DOI
  59. Yassa, 2009, A quantitative evaluation of cross-participant registration techniques for MRI studies of the medial temporal lobe, Neuroimage, 44, 319, 10.1016/j.neuroimage.2008.09.016 · DOI

Cited by

Sorted by citations

Metadata

Authors
Beacher, F. D. C. C., Gray, M. A., Mathias, C. J., & Critchley, H. D.
Affiliations
  • Brighton and Sussex Medical School (GB)
  • Imperial College London (GB)
Corresponding author
Beacher, Felix D.C.C.
Venue
NeuroImage
Publisher
Elsevier BV
Published
2009-09
Volume
47
Issue
3
Pages
937-945
ISSN
1053-8119 (ISSN-L)
OpenAlex
W1996420437
Cited by
37
References
4
Citations by year
2026: 2 · 2023: 1 · 2021: 2 · 2020: 2 · 2019: 1 · 2018: 3 · 2017: 2 · 2016: 2 · 2015: 5 · 2014: 3 · 2013: 1 · 2012: 2
FWCI
2.75
Type
journal article
Language
en
Open access
Locations
  • NeuroImage (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • UCL Discovery (University College London) (submittedVersion)
  • Figshare (submittedVersion, cc-by)
Funders
Wellcome Trust
Topics
  • Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Cardiovascular Syncope and Autonomic Disorders
  • Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Heart Rate Variability and Autonomic Control
  • Health Sciences › Medicine › Psychiatry and Mental health › Psychosomatic Disorders and Their Treatments
Keywords
vasovagal syncope, brain structure, caudate nucleus, brainstem volume, gray matter volume, white matter volume, heart rate variability, anxiety, psychosomatic medicine, emotion and physiology
MeSH terms
Adult, Brain, Female, Humans, Image Interpretation, Computer-Assisted, Magnetic Resonance Imaging, Male, Syncope, Young Adult

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review