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Real-Time fMRI in Neuroscience Research and Its Use in Studying the Aging Brain

Overview of attention for article published in Frontiers in Aging Neuroscience, October 2016
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  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (95th percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

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6 news outlets
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Title
Real-Time fMRI in Neuroscience Research and Its Use in Studying the Aging Brain
Published in
Frontiers in Aging Neuroscience, October 2016
DOI 10.3389/fnagi.2016.00239
Pubmed ID
Authors

Mohit Rana, Andrew Q. Varan, Anis Davoudi, Ronald A. Cohen, Ranganatha Sitaram, Natalie C. Ebner

Abstract

Cognitive decline is a major concern in the aging population. It is normative to experience some deterioration in cognitive abilities with advanced age such as related to memory performance, attention distraction to interference, task switching, and processing speed. However, intact cognitive functioning in old age is important for leading an independent day-to-day life. Thus, studying ways to counteract or delay the onset of cognitive decline in aging is crucial. The literature offers various explanations for the decline in cognitive performance in aging; among those are age-related gray and white matter atrophy, synaptic degeneration, blood flow reduction, neurochemical alterations, and change in connectivity patterns with advanced age. An emerging literature on neurofeedback and Brain Computer Interface (BCI) reports exciting results supporting the benefits of volitional modulation of brain activity on cognition and behavior. Neurofeedback studies based on real-time functional magnetic resonance imaging (rtfMRI) have shown behavioral changes in schizophrenia and behavioral benefits in nicotine addiction. This article integrates research on cognitive and brain aging with evidence of brain and behavioral modification due to rtfMRI neurofeedback. We offer a state-of-the-art description of the rtfMRI technique with an eye towards its application in aging. We present preliminary results of a feasibility study exploring the possibility of using rtfMRI to train older adults to volitionally control brain activity. Based on these first findings, we discuss possible implementations of rtfMRI neurofeedback as a novel technique to study and alleviate cognitive decline in healthy and pathological aging.

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The data shown below were collected from the profiles of 2 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 175 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 <1%
Brazil 1 <1%
Unknown 173 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 32 18%
Researcher 31 18%
Student > Master 29 17%
Student > Bachelor 14 8%
Student > Doctoral Student 11 6%
Other 25 14%
Unknown 33 19%
Readers by discipline Count As %
Neuroscience 37 21%
Psychology 34 19%
Engineering 14 8%
Computer Science 10 6%
Medicine and Dentistry 7 4%
Other 28 16%
Unknown 45 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 52. 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 13 September 2021.
All research outputs
#692,548
of 22,896,955 outputs
Outputs from Frontiers in Aging Neuroscience
#132
of 4,823 outputs
Outputs of similar age
#14,716
of 316,298 outputs
Outputs of similar age from Frontiers in Aging Neuroscience
#3
of 74 outputs
Altmetric has tracked 22,896,955 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 4,823 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.0. This one has done particularly well, scoring higher than 97% 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 316,298 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 95% of its contemporaries.
We're also able to compare this research output to 74 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 95% of its contemporaries.