↓ Skip to main content

The neural basis of temporal individuation and its capacity limits in the human brain

Overview of attention for article published in Journal of Neurophysiology, August 2017
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
3 X users

Readers on

mendeley
13 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
The neural basis of temporal individuation and its capacity limits in the human brain
Published in
Journal of Neurophysiology, August 2017
DOI 10.1152/jn.00839.2016
Pubmed ID
Authors

Claire K Naughtin, Benjamin J Tamber-Rosenau, Paul E Dux

Abstract

Individuation refers to individuals' use of spatial and temporal properties to register objects as distinct perceptual events relative to other stimuli. Although behavioural studies have examined both spatial and temporal individuation, neuroimaging investigations have been restricted to the spatial domain and at relatively late stages of information processing. Here we used univariate and multi-voxel pattern analyses of functional magnetic resonance imaging data to identify brain regions involved in individuating temporally distinct visual items, and the neural consequences that arise when this process reaches its capacity limit (Repetition Blindness [RB]). First, we found that regional patterns of Blood-Oxygen-Level-Dependent activity across the cortex discriminated between instances where repeated and non-repeated stimuli were successfully individuated - conditions that placed differential demands on temporal individuation. These results could not be attributed to repetition suppression or other stimulus-related factors, task difficulty, regional activation differences, other capacity-limited processes or artifacts in the data or analyses. Contrary to current theoretical models, this finding suggests that temporal individuation is supported by a distributed set of brain regions, rather than a single neural correlate. Second, conditions that reflect the capacity limit of individuation - instances of RB - lead to changes in the spatial patterns within this network, as well as amplitude changes in the left hemisphere premotor cortex, superior medial frontal cortex, anterior cingulate cortex and bilateral parahippocampal place area. These findings could not be attributed to response conflict/ambiguity and likely reflect the core brain regions and mechanisms that underlie the capacity-limited process that gives rise to RB.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 31%
Student > Master 4 31%
Student > Doctoral Student 1 8%
Unknown 4 31%
Readers by discipline Count As %
Psychology 5 38%
Neuroscience 3 23%
Biochemistry, Genetics and Molecular Biology 1 8%
Unknown 4 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 02 November 2017.
All research outputs
#16,584,977
of 25,382,440 outputs
Outputs from Journal of Neurophysiology
#4,959
of 8,424 outputs
Outputs of similar age
#193,770
of 323,499 outputs
Outputs of similar age from Journal of Neurophysiology
#62
of 116 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,424 research outputs from this source. They receive a mean Attention Score of 4.8. This one is in the 40th percentile – i.e., 40% of its peers scored the same or lower than it.
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 323,499 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 116 others from the same source and published within six weeks on either side of this one. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.