Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 299

The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.

Regional Gray Matter Density Changes in Brains of Patients With Irritable Bowel Syndrome

Open access
Seminowicz, David A., Labus, Jennifer S., Bueller, Joshua A., Tillisch, Kirsten, Naliboff, Bruce D., Bushnell, M. Catherine, Mayer, Emeran A.·2010·Gastroenterology

Abstract

Background & Aims Several studies have examined structural brain changes associated with chronic pain syndromes, including irritable bowel syndrome (IBS), but study sample sizes have been small and heterogeneous. Methods We used magnetic resonance imaging (MRI)-based techniques, voxel-based morphometry, and cortical thickness analysis, to examine brain anatomical differences in a relatively large, tightly screened sample of IBS patients (n=55); we compared data with that from healthy individuals (controls, n=48). Results IBS was associated with decreased gray matter density (GMD) in widespread areas of the brain, including medial prefrontal and ventrolateral prefrontal cortex, posterior parietal cortex, ventral striatum, and thalamus. Compared with controls, we observed increased GMD in patients with IBS in the pregenual anterior cingulate cortex and the orbitofrontal cortex, as well as trends in the posterior insula/secondary somatosensory cortex, (para)hippocampus, and left dorsolateral prefrontal cortex. In accounting for anxiety and depression, we found that several of the regions involved in affective processing no longer differed between patients with IBS and controls, whereas the differences in prefrontal and posterior parietal cortices remained. The areas of decreased GMD associated with IBS were largely consistent across clinical subgroups, based on predominant bowel habit and pain predominance of symptoms. There were no overall or regional differences in cortical thickness between patients with IBS and controls. Conclusions Changes in density of gray matter among regions involved in cognitive/evaluative functions are specifically observed in patients with IBS, whereas changes in other areas of the brain can be accounted for explained by levels of anxiety and depression.

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 · 10.1053/j.gastro.2010.03.049

Cites

12 of 12 references verified0 citation errors · 0 not checkable

Statistics

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

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 12 references

Research works printed but not linked: 37

  1. Labus, 2009, Brain response during pelvic visceral distension in healthy controls and patients with irritable bowel syndrome: a quantitative meta analysis, Neurogastroenterol Motil, 21, 80
  2. Kuchinad, 2007, Accelerated brain gray matter loss in fibromyalgia patients: premature aging of the brain?, J Neurosci, 27, 4004, 10.1523/JNEUROSCI.0098-07.2007 · DOI · Paper page
  3. Schmidt-Wilcke, 2007, Striatal grey matter increase in patients suffering from fibromyalgia - A voxel-based morphometry study, Pain, 132, S109, 10.1016/j.pain.2007.05.010 · DOI · Paper page
  4. Lutz, 2008, White and gray matter abnormalities in the brain of patients with fibromyalgia: A diffusion-tensor and volumetric imaging study, Arthritis Rheum, 58, 3960, 10.1002/art.24070 · DOI
  5. Hsu, 2009, No consistent difference in gray matter volume between individuals with fibromyalgia and age-matched healthy subjects when controlling for affective disorder, Pain, 143, 262, 10.1016/j.pain.2009.03.017 · DOI
  6. Schmidt-Wilcke, 2005, Gray matter decrease in patients with chronic tension type headache, Neurology, 65, 1483, 10.1212/01.wnl.0000183067.94400.80 · DOI
  7. DaSilva, 2007, Thickening in the somatosensory cortex of patients with migraine, Neurology, 69, 1990, 10.1212/01.wnl.0000291618.32247.2d · DOI
  8. Kim, 2008, Regional grey matter changes in patients with migraine: a voxel-based morphometry study, Cephalalgia, 28, 598, 10.1111/j.1468-2982.2008.01550.x · DOI · Paper page
  9. Schweinhardt, 2008, Increased gray matter density in young women with chronic vulvar pain, Pain, 140, 411, 10.1016/j.pain.2008.09.014 · DOI
  10. Teutsch, 2008, Changes in brain gray matter due to repetitive painful stimulation, Neuroimage, 42, 845, 10.1016/j.neuroimage.2008.05.044 · DOI
  11. Draganski, 2006, Temporal and spatial dynamics of brain structure changes during extensive learning, J Neurosci, 26, 6314, 10.1523/JNEUROSCI.4628-05.2006 · DOI · Paper page
  12. Erickson, 2009, Aerobic fitness is associated with hippocampal volume in elderly humans, Hippocampus, 19, 1030, 10.1002/hipo.20547 · DOI · Paper page
  13. Davis, 2008, Cortical thinning in IBS: implications for homeostatic, attention, and pain processing, Neurology, 70, 153, 10.1212/01.wnl.0000295509.30630.10 · DOI
  14. Blankstein U, Chen J, Diamant NE, Davis KD. Altered brain structure in IBS: potential contributions of pre-existing and disease-driven factors [published online ahead of print January 4, 2010]. Gastroenterology doi:10.1053/j.gastro.2009.12.043. · DOI
  15. Munakata, 1997, Repetitive sigmoid stimulation induces rectal hyperalgesia in patients with irritable bowel syndrome, Gastroenterology, 112, 55, 10.1016/S0016-5085(97)70219-1 · DOI
  16. Worsley, 1996, A unified statistical approach for determining significant signals in images of cerebral activation, Human Brain Mapping, 4, 58, 10.1002/(SICI)1097-0193(1996)4:1<58::AID-HBM4>3.0.CO;2-O · DOI
  17. Schmitz, 2008, Attack frequency and disease duration as indicators for brain damage in migraine, Headache, 48, 1044, 10.1111/j.1526-4610.2008.01133.x · DOI
  18. Berman, 2008, Reduced brainstem inhibition during anticipated pelvic visceral pain correlates with enhanced brain response to the visceral stimulus in women with irritable bowel syndrome, J Neurosci, 28, 349, 10.1523/JNEUROSCI.2500-07.2008 · DOI
  19. Dickerson, 2008, Detection of cortical thickness correlates of cognitive performance: reliability across MRI scan sessions, scanners, and field strengths, Neuroimage, 39, 10, 10.1016/j.neuroimage.2007.08.042 · DOI · Paper page
  20. Lieberman, 2004, The neural correlates of placebo effects: a disruption account, Neuroimage, 22, 447, 10.1016/j.neuroimage.2004.01.037 · DOI · Paper page
  21. Mayer, 2005, Differences in brain responses to visceral pain between patients with irritable bowel syndrome and ulcerative colitis, Pain, 115, 398, 10.1016/j.pain.2005.03.023 · DOI · Paper page
  22. Seifert, 2009, Medial prefrontal cortex activity is predictive for hyperalgesia and pharmacological antihyperalgesia, J Neurosci, 29, 6167, 10.1523/JNEUROSCI.4654-08.2009 · DOI
  23. Zubieta, 2001, Regional mu opioid receptor regulation of sensory and affective dimensions of pain, Science, 293, 311, 10.1126/science.1060952 · DOI
  24. Baliki, 2006, Chronic pain and the emotional brain: specific brain activity associated with spontaneous fluctuations of intensity of chronic back pain, J Neurosci, 26, 12165, 10.1523/JNEUROSCI.3576-06.2006 · DOI · Paper page
  25. Rodriguez-Raecke, 2009, Brain gray matter decrease in chronic pain is the consequence and not the cause of pain, J Neurosci, 29, 13746, 10.1523/JNEUROSCI.3687-09.2009 · DOI · Paper page
  26. Rocca, 2006, Brain gray matter changes in migraine patients with T2-visible lesions: a 3-T MRI study, Stroke, 37, 1765, 10.1161/01.STR.0000226589.00599.4d · DOI
  27. Wilder-Smith, 2007, Abnormal endogenous pain modulation and somatic and visceral hypersensitivity in female patients with irritable bowel syndrome, World J Gastroenterol, 13, 3699, 10.3748/wjg.v13.i27.3699 · DOI
  28. Dunckley, 2005, A comparison of visceral and somatic pain processing in the human brainstem using functional magnetic resonance imaging, J Neurosci, 25, 7333, 10.1523/JNEUROSCI.1100-05.2005 · DOI
  29. Wiech, 2009, The influence of negative emotions on pain: behavioral effects and neural mechanisms, Neuroimage, 47, 994, 10.1016/j.neuroimage.2009.05.059 · DOI · Paper page
  30. Zijdenbos, 2002, Automatic “pipeline” analysis of 3-D MRI data for clinical trials: application to multiple sclerosis, IEEE Trans Med Imaging, 21, 1280, 10.1109/TMI.2002.806283 · DOI
  31. Fahim C, Yoon U, Das S, et al. Somatosensory-motor bodily representation cortical thinning in Tourette: effects of tic severity, age and gender. Cortex (in press, corrected proof).
  32. Collins, 1995, Automatic 3-D model-based neuroanatomical segmentation, Human Brain Mapping, 3, 190, 10.1002/hbm.460030304 · DOI
  33. Tohka, 2004, Fast and robust parameter estimation for statistical partial volume models in brain MRI, Neuroimage, 23, 84, 10.1016/j.neuroimage.2004.05.007 · DOI
  34. Kim, 2005, Automated 3-D extraction and evaluation of the inner and outer cortical surfaces using a Laplacian map and partial volume effect classification, Neuroimage, 27, 210, 10.1016/j.neuroimage.2005.03.036 · DOI
  35. MacDonald, 2000, Automated 3-D extraction of inner and outer surfaces of cerebral cortex from MRI, Neuroimage, 12, 340, 10.1006/nimg.1999.0534 · DOI · Paper page
  36. Lyttelton, 2007, An unbiased iterative group registration template for cortical surface analysis, Neuroimage, 34, 1535, 10.1016/j.neuroimage.2006.10.041 · DOI
  37. Chung, 2003, Deformation-based surface morphometry applied to gray matter deformation, Neuroimage, 18, 198, 10.1016/S1053-8119(02)00017-4 · DOI · Paper page

Cited by

See all 299

Metadata

Authors
Seminowicz, D. A., Labus, J. S., Bueller, J. A., Tillisch, K., Naliboff, B. D., Bushnell, M. C., & Mayer, E. A.
Venue
Gastroenterology
Publisher
Elsevier BV
Published
2010-07
Volume
139
Issue
1
Pages
48-57.e2
ISSN
0016-5085 (ISSN-L)
OpenAlex
W2138177961
Cited by
299
References
12
FWCI
22.27
Type
journal article
Language
en
Open access
bronze
Licence
  • www.elsevier.com/tdm/userlicense/1.0/ (tdm)
  • www.elsevier.com/legal/tdmrep-license (tdm)
Funders
  • National Institutes of Health (DK 48351, DK 073451-01, AT 00268, DK 64530, DK 071626-04, DK 084169-01)
  • Canadian Institutes of Health Research

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

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Regional Gray Matter Density Changes in Brains of Patients With Irritable Bowel Syndrome. https://app.cochat.ai/papers/10.1053/j.gastro.2010.03.049
The paper
Seminowicz, D. A., Labus, J. S., Bueller, J. A., Tillisch, K., Naliboff, B. D., Bushnell, M. C., & Mayer, E. A. (2010). Regional Gray Matter Density Changes in Brains of Patients With Irritable Bowel Syndrome. Gastroenterology. https://doi.org/10.1053/j.gastro.2010.03.049

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.