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How doctors diagnose diseases and prescribe treatments: an fMRI study of diagnostic salience

Overview of attention for article published in Scientific Reports, May 2017
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (94th percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

news
1 news outlet
twitter
70 X users
facebook
2 Facebook pages

Citations

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7 Dimensions

Readers on

mendeley
48 Mendeley
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Title
How doctors diagnose diseases and prescribe treatments: an fMRI study of diagnostic salience
Published in
Scientific Reports, May 2017
DOI 10.1038/s41598-017-01482-0
Pubmed ID
Authors

Marcio Melo, Gustavo D. F. Gusso, Marcelo Levites, Edson Amaro Jr., Eduardo Massad, Paulo A. Lotufo, Peter Zeidman, Cathy J. Price, Karl J. Friston

Abstract

Understanding the brain mechanisms involved in diagnostic reasoning may contribute to the development of methods that reduce errors in medical practice. In this study we identified similar brain systems for diagnosing diseases, prescribing treatments, and naming animals and objects using written information as stimuli. Employing time resolved modeling of blood oxygen level dependent (BOLD) responses enabled time resolved (400 milliseconds epochs) analyses. With this approach it was possible to study neural processes during successive stages of decision making. Our results showed that highly diagnostic information, reducing uncertainty about the diagnosis, decreased monitoring activity in the frontoparietal attentional network and may contribute to premature diagnostic closure, an important cause of diagnostic errors. We observed an unexpected and remarkable switch of BOLD activity within a right lateralized set of brain regions related to awareness and auditory monitoring at the point of responding. We propose that this neurophysiological response is the neural substrate of awareness of one's own (verbal) response. Our results highlight the intimate relation between attentional mechanisms, uncertainty, and decision making and may assist the advance of approaches to prevent premature diagnostic closure.

X Demographics

X Demographics

The data shown below were collected from the profiles of 70 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
Germany 1 2%
Unknown 46 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 17%
Student > Bachelor 7 15%
Student > Ph. D. Student 5 10%
Professor 5 10%
Student > Master 4 8%
Other 10 21%
Unknown 9 19%
Readers by discipline Count As %
Medicine and Dentistry 14 29%
Neuroscience 8 17%
Psychology 4 8%
Business, Management and Accounting 2 4%
Social Sciences 2 4%
Other 6 13%
Unknown 12 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 48. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 17 March 2019.
All research outputs
#888,888
of 25,795,662 outputs
Outputs from Scientific Reports
#9,411
of 143,071 outputs
Outputs of similar age
#17,701
of 325,984 outputs
Outputs of similar age from Scientific Reports
#308
of 4,175 outputs
Altmetric has tracked 25,795,662 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 143,071 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.8. This one has done particularly well, scoring higher than 93% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 325,984 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 94% of its contemporaries.
We're also able to compare this research output to 4,175 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.