Cited by 513Stress Responses and CortisolNeural and Behavioral Psychology StudiesAdvanced MRI Techniques and Applications

Perfusion functional MRI reveals cerebral blood flow pattern under psychological stress

Open access
Wang, Jiongjiong, Rao, Hengyi, Wetmore, Gabriel S., Furlan, Patricia M., Korczykowski, Marc, Dinges, David F., Detre, John A.·2005·Proceedings of the National Academy of Sciences

Abstract

Despite the prevalence of stress in everyday life and its impact on happiness, health, and cognition, little is known about the neural substrate of the experience of everyday stress in humans. We use a quantitative and noninvasive neuroimaging technique, arterial spin-labeling perfusion MRI, to measure cerebral blood flow (CBF) changes associated with mild to moderate stress induced by a mental arithmetic task with performance monitoring. Elicitation of stress was verified by self-report of stress and emotional state and measures of heart rate and salivary-cortisol level. The change in CBF induced by the stress task was positively correlated with subjective stress rating in the ventral right prefrontal cortex (RPFC) and left insula/putamen area. The ventral RPFC along with right insula/putamen and anterior cingulate showed sustained activation after task completion in subjects reporting a high stress level during arithmetic tasks. Additionally, variations of baseline CBF in the ventral RPFC and right orbitofrontal cortex were found to correlate with changes in salivary-cortisol level and heart rate caused by undergoing stress tasks. We further demonstrated that the observed right prefrontal activation could not be attributed to increased cognitive demand accompanying stress tasks and extended beyond neural pathways associated with negative emotions. Our results provide neuroimaging evidence that psychological stress induces negative emotion and vigilance and that the ventral RPFC plays a key role in the central stress response.

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 · 10.1073/pnas.0503082102

Cites

49 of 49 references verified0 citation errors · 0 not checkable

Statistics

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?

  • The dual-hormone profile of increased testosterone and reduced cortisol is related to adaptive decision-making in stressful social settings.

    “the dual-hormone profile of increased testosterone and reduced cortisol is related to adaptive decision-making in stressful social settings (Wang et al., 2005).”

    From Salivary testosterone and cortisol response in acute stress modulated by seven sessions of mindfulness meditation in young males (2024) · cites this paper as Wang et al., 2005

    The Results report that salivary cortisol peaked after a high-stress task, and the Discussion relates cortisol to cerebral blood flow. Searches for testosterone, a dual-hormone profile, and decision-making found no passage addressing whether increased testosterone and reduced cortisol are associated with adaptive decisions in stressful social settings. (LLM, conf=0.77)

    Experimental — accuracy not yet measured
  • Functional imaging of individuals undergoing ordinary stressors, such as counting backwards, shows lasting changes in neural activity.

    “there are indications from functional imaging of individuals undergoing ordinary stressors, such as counting backwards that there are lasting changes in neural activity (Wang et al., 2005).”
  • Functional imaging of individuals undergoing ordinary stressors, such as counting backwards, indicates lasting changes in neural activity.

    “Although there is very little evidence regarding the effects of ordinary life stressors on brain structure, there are indications from functional imaging of individuals undergoing ordinary stressors, such as counting backwards, that there are lasting changes in neural activity.101”

Self-check

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

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

Cites

Flagged first, then by citations

Research works printed but not linked: 48

  1. [1]Segerstrom, S. C. & Miller, G. E. (2004) Psychol. Bull. 130, 601-630. [DOI] [PMC free article] [PubMed] [Google Scholar]
  2. [2]Cohen, S., Tyrrell, D. A. J. & Smith, A. P. (1993) J. Personality Social Psychol. 64, 131-140. [DOI] [PubMed] [Google Scholar]
  3. [3]Caspi, A., Sugden, K., Moffitt, T. E., Taylor, A., Craig, I. W., Harrington, H., McClay, J., Mill, J., Martin, J., Braithwaite, A. & Poulton, R. (2003) Science 301, 386-389. [DOI] [PubMed] [Google Scholar]
  4. [4]McEwen, B. S. & Sapolsky, R. M. (1995) Curr. Opin. Neurobiol. 5, 205-216. [DOI] [PubMed] [Google Scholar]
  5. [5]Sapolsky, R. M. (2000) Neurobiol. Dis. 7, 540-542. [DOI] [PubMed] [Google Scholar]
  6. [6]Bierhaus, A., Wolf, J., Andrassy, M., Rohleder, N., Humpert, P. M., Petrov, D., Ferstl, R., von Eynatten, M., Wendt, T., Rudofsky, G., et al. (2003) Proc. Natl. Acad. Sci. USA 100, 1920-1925. [DOI] [PMC free article] [PubMed] [Google Scholar]
  7. [7]Epel, E. S., Blackburn, E. H., Lin, J., Dhabhar, F. S., Adler, N. E., Morrow, J. D. & Cawthon, R. M. (2004) Proc. Natl. Acad. Sci. USA 101, 17312-17315. [DOI] [PMC free article] [PubMed] [Google Scholar]
  8. [8]Charney, D. S. (2004) Am. J. Psychiatry 161, 195-216. [DOI] [PubMed] [Google Scholar]
  9. [9]Carrasco, G. A. & Van de Kar, L. D. (2003) Eur. J. Pharmacol. 463, 235-272. [DOI] [PubMed] [Google Scholar]
  10. [11]Davidson, R. J. & Irwin, W. (1999) Trends Cogn. Sci. 3, 11-21. [DOI] [PubMed] [Google Scholar]
  11. [12]Dolan, R. J. (2002) Science 298, 1191-1194. [DOI] [PubMed] [Google Scholar]
  12. [13]Davidson, R. J. (2003) Ann. N.Y. Acad. Sci. 1000, 316-336. [DOI] [PubMed] [Google Scholar]
  13. [14]Sarter, M., Givens, B. & Bruno, J. P. (2001) Brain Res. Rev. 35, 146-160. [DOI] [PubMed] [Google Scholar]
  14. [15]Rosenkranz, M. A., Jackson, D. C., Dalton, K. M., Dolski, I., Ryff, C. D., Singer, B. H., Muller, D., Kalin, N. H. & Davidson, R. J. (2003) Proc. Natl. Acad. Sci. USA 100, 11148-11152. [DOI] [PMC free article] [PubMed] [Google Scholar]
  15. [16]Davidson, R. J., Jackson, D. C. & Kalin, N. H. (2000) Psychol. Bull. 126, 890-909. [DOI] [PubMed] [Google Scholar]
  16. [17]Nutt, D. J. & Malizia, A. L. (2004) J. Clin. Psychiatry 65, 11-17. [PubMed] [Google Scholar]
  17. [18]Detre, J. A. & Alsop, D. C. (1999) in Functional MRI, eds. Moonen, C. T. W. & Bandettini, P. A. (Springer, Heidelberg), pp. 47-62.
  18. [19]Aguirre, G. K., Detre, J. A., Zarahn, E. & Alsop, D. C. (2002) NeuroImage 15, 488-500. [DOI] [PubMed] [Google Scholar]
  19. [20]Wang, J., Aguirre, G. K., Kimberg, D. Y., Roc, A. C., Li, L. & Detre, J. A. (2003) Magn. Reson. Med. 49, 796-802. [DOI] [PubMed] [Google Scholar]
  20. [21]Wang, J., Li, L., Roc, A. C., Alsop, D. C., Tang, K., Butler, N., Schnall, M. D. & Detre, J. A. (2004) Magn. Reson. Imaging 22, 1-7. [DOI] [PubMed] [Google Scholar]
  21. [22]Wong, E. C. (1999) in Functional MRI, eds. Moonen, C. T. W. & Bandettini, P. A. (Springer, Heidelberg), pp. 63-69.
  22. [23]Kirschbaum, C., Pirke, K. M. & Hellhammer, D. H. (1993) Neuropsychobiology 28, 76-81. [DOI] [PubMed] [Google Scholar]
  23. [24]Soufer, R., Bremner, J. D., Arrighi, J. A., Cohen, I., Zaret, B. L., Burg, M. M. & Goldman-Rakic, P. (1998) Proc. Natl. Acad. Sci. USA 95, 6454-6459. [DOI] [PMC free article] [PubMed] [Google Scholar]
  24. [25]Wang, J., Zhang, Y., Wolf, R. L., Roc, A. C., Alsop, D. C. & Detre, J. A. (2005) Radiology 235, 218-228. [DOI] [PubMed] [Google Scholar]
  25. [26]Furlan, P. M., DeMartinis, N., Schweizer, E., Rickels, K. & Lucki, I. (2001) Biol. Psychiatry 50, 254-259. [DOI] [PubMed] [Google Scholar]
  26. [27]Wang, J., Aguirre, G. K., Kimberg, D. Y. & Detre, J. A. (2003) NeuroImage 19, 1449-1462. [DOI] [PubMed] [Google Scholar]
  27. [28]Coan, J. A. & Allen, J. J. (2004) Biol. Psychol. 67, 7-50. [DOI] [PubMed] [Google Scholar]
  28. [29]Pascual-Leone, A., Catala, M. D. & Pascual-Leone Pascual, A. (1996) Neurology 46, 499-502. [DOI] [PubMed] [Google Scholar]
  29. [30]Phillips, M. L., Young, A. W., Scott, S. K., Calder, A. J., Andrew, C., Giampietro, V., Williams, S. C., Bullmore, E. T., Brammer, M. & Gray, J. A. (1998) Proc. R. Soc. London Ser. B 265, 1809-1817. [DOI] [PMC free article] [PubMed] [Google Scholar]
  30. [31]Calder, A. J., Keane, J., Manes, F., Antoun, N. & Young, A. W. (2000) Nat. Neurosci. 3, 1077-1078. [DOI] [PubMed] [Google Scholar]
  31. [32]Davis, K. D., Taylor, S. J., Crawley, A. P., Wood, M. L. & Mikulis, D. J. (1997) J. Neurophysiol. 77, 3370-3380. [DOI] [PubMed] [Google Scholar]
  32. [33]Lange, C., Kracht, L., Herholz, K., Sachsse, U. & Irle, E. (2005) Psychiatry Res. 139, 115-126. [DOI] [PubMed] [Google Scholar]
  33. [34]Bonne, O., Gilboa, A., Louzoun, Y., Brandes, D., Yona, I., Lester, H., Barkai, G., Freedman, N., Chisin, R. & Shalev, A. Y. (2003) Biol. Psychiatry 54, 1077-1086. [DOI] [PubMed] [Google Scholar]
  34. [35]Nobili, F., Brugnolo, A., Calvini, P., Copello, F., De Leo, C., Girtler, N., Morbelli, S., Piccardo, A., Vitali, P. & Rodriguez, G. (2005) Clin. Neurophysiol. 116, 364-375. [DOI] [PubMed] [Google Scholar]
  35. [36]Sapolsky, R. M., Romero, L. M. & Munck, A. U. (2000) Endocr. Rev. 21, 55-89. [DOI] [PubMed] [Google Scholar]
  36. [37]Davidson, R. J. (1994) Dev. Psychopathol. 6, 741-758. [Google Scholar]
  37. [38]Phan, K. L., Wager, T., Taylor, S. F. & Liberzon, I. (2002) NeuroImage 16, 331-348. [DOI] [PubMed] [Google Scholar]
  38. [39]Menon, V., Rivera, S. M., White, C. D., Glover, G. H. & Reiss, A. L. (2000) NeuroImage 12, 357-365. [DOI] [PubMed] [Google Scholar]
  39. [40]Frith, C. D. & Frith, U. (1999) Science 286, 1692-1695. [DOI] [PubMed] [Google Scholar]
  40. [41]Sinha, R., Lacadie, C., Skudlarski, P. & Wexler, B. E. (2004) Ann. N.Y. Acad. Sci. 1032, 254-257. [DOI] [PubMed] [Google Scholar]
  41. [42]Keay, K. A. & Bandler, R. (2001) Neurosci. Biobehav. Rev. 25, 669-678. [DOI] [PubMed] [Google Scholar]
  42. [43]Lupien, S. J. & McEwen, B. S. (1997) Brain Res. Rev. 24, 1-27. [DOI] [PubMed] [Google Scholar]
  43. [44]Vyas, A., Mitra, R., Shankaranarayana Rao, B. S. & Chattarji, S. (2002) J. Neurosci. 22, 6810-6818. [DOI] [PMC free article] [PubMed] [Google Scholar]
  44. [45]Magarinos, A. M., McEwen, B. S., Flugge, G. & Fuchs, E. (1996) J. Neurosci. 16, 3534-3540. [DOI] [PMC free article] [PubMed] [Google Scholar]
  45. [46]Gould, E., McEwen, B. S., Tanapat, P., Galea, L. A. M. & Fuchs, E. (1997) J. Neurosci. 17, 2492-2498. [DOI] [PMC free article] [PubMed] [Google Scholar]
  46. [47]Drevets, W. C., Price, J. L., Simpson, J. R., Jr., Todd, R. D., Reich, T., Vannier, M. & Raichle, M. E. (1997) Nature 386, 824-827. [DOI] [PubMed] [Google Scholar]
  47. [48]Kirschbaum, C., Prussner, J. C., Stone, A. A., Federenko, I., Gaab, J., Lintz, D., Schommer, N. & Hellhammer, D. H. (1995) Psychosom. Med. 57, 468-474. [DOI] [PubMed] [Google Scholar]
  48. [49]McEwen, B. S. (2000) Brain Res. 886, 172-189. [DOI] [PubMed] [Google Scholar]

Cited by

Sorted by citations

Authors
Wang, J., Rao, H., Wetmore, G. S., Furlan, P. M., Korczykowski, M., Dinges, D. F., & Detre, J. A.
Affiliations
University of Pennsylvania (US)
Venue
Proceedings of the National Academy of Sciences
Published
2005-11-23
Volume
102
Issue
49
Pages
17804-17809
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W2104007404
Cited by
513
References
49
Citations by year
2026: 8 · 2025: 8 · 2024: 17 · 2023: 16 · 2022: 21 · 2021: 15 · 2020: 24 · 2019: 20 · 2018: 25 · 2017: 24 · 2016: 26 · 2015: 24 · 2014: 33 · 2013: 45 · 2012: 40
FWCI
9.52
Type
journal article
Language
en
Open access
Locations
  • Proceedings of the National Academy of Sciences (publishedVersion)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
Funders
  • National Institute of Mental Health (R21MH072576, MH072576)
  • National Institute on Drug Abuse (DA-015149, R01DA015149)
  • National Institute of Neurological Disorders and Stroke (P30NS045839, NS-045839)
Topics
  • Life Sciences › Neuroscience › Behavioral Neuroscience › Stress Responses and Cortisol
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
  • Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced MRI Techniques and Applications
Keywords
psychological stress, cerebral blood flow, arterial spin labeling, insula, putamen, anterior cingulate cortex, salivary cortisol, heart rate, sustained attention, negative emotions, mental arithmetic task, stress response
MeSH terms
Adult, Anxiety, Brain, Cerebrovascular Circulation, Female, Heart Rate, Humans, Hydrocortisone, Magnetic Resonance Imaging, Male, Mathematics, Monitoring, Physiologic, Stress, Psychological

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