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Meeting the brain on its own terms

Overview of attention for article published in Frontiers in Human Neuroscience, October 2014
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (82nd percentile)
  • Good Attention Score compared to outputs of the same age and source (65th percentile)

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Title
Meeting the brain on its own terms
Published in
Frontiers in Human Neuroscience, October 2014
DOI 10.3389/fnhum.2014.00815
Pubmed ID
Authors

Philipp Haueis

Abstract

In contemporary human brain mapping, it is commonly assumed that the "mind is what the brain does". Based on that assumption, task-based imaging studies of the last three decades measured differences in brain activity that are thought to reflect the exercise of human mental capacities (e.g., perception, attention, memory). With the advancement of resting state studies, tractography and graph theory in the last decade, however, it became possible to study human brain connectivity without relying on cognitive tasks or constructs. It therefore is currently an open question whether the assumption that "the mind is what the brain does" is an indispensable working hypothesis in human brain mapping. This paper argues that the hypothesis is, in fact, dispensable. If it is dropped, researchers can "meet the brain on its own terms" by searching for new, more adequate concepts to describe human brain organization. Neuroscientists can establish such concepts by conducting exploratory experiments that do not test particular cognitive hypotheses. The paper provides a systematic account of exploratory neuroscientific research that would allow researchers to form new concepts and formulate general principles of brain connectivity, and to combine connectivity studies with manipulation methods to identify neural entities in the brain. These research strategies would be most fruitful if applied to the mesoscopic scale of neuronal assemblies, since the organizational principles at this scale are currently largely unknown. This could help researchers to link microscopic and macroscopic evidence to provide a more comprehensive understanding of the human brain. The paper concludes by comparing this account of exploratory neuroscientific experiments to recent proposals for large-scale, discovery-based studies of human brain connectivity.

X Demographics

X Demographics

The data shown below were collected from the profiles of 13 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 73 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 2 3%
Brazil 1 1%
United Kingdom 1 1%
Slovenia 1 1%
United States 1 1%
Unknown 67 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 18 25%
Student > Master 11 15%
Researcher 10 14%
Student > Bachelor 7 10%
Student > Doctoral Student 6 8%
Other 13 18%
Unknown 8 11%
Readers by discipline Count As %
Psychology 16 22%
Neuroscience 14 19%
Philosophy 7 10%
Medicine and Dentistry 5 7%
Agricultural and Biological Sciences 4 5%
Other 14 19%
Unknown 13 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 04 November 2014.
All research outputs
#3,967,755
of 22,783,848 outputs
Outputs from Frontiers in Human Neuroscience
#1,856
of 7,144 outputs
Outputs of similar age
#45,136
of 255,768 outputs
Outputs of similar age from Frontiers in Human Neuroscience
#82
of 242 outputs
Altmetric has tracked 22,783,848 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,144 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.5. This one has gotten more attention than average, scoring higher than 73% 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 255,768 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 82% of its contemporaries.
We're also able to compare this research output to 242 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.