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Brain Connectivity and Prediction of Relapse after Cognitive-Behavioral Therapy in Obsessive–Compulsive Disorder

Overview of attention for article published in Frontiers in Psychiatry, May 2015
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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 (96th percentile)
  • High Attention Score compared to outputs of the same age and source (91st percentile)

Mentioned by

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2 news outlets
blogs
5 blogs
twitter
6 X users
facebook
5 Facebook pages

Citations

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62 Dimensions

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99 Mendeley
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Title
Brain Connectivity and Prediction of Relapse after Cognitive-Behavioral Therapy in Obsessive–Compulsive Disorder
Published in
Frontiers in Psychiatry, May 2015
DOI 10.3389/fpsyt.2015.00074
Pubmed ID
Authors

Jamie D. Feusner, Teena Moody, Tsz Man Lai, Courtney Sheen, Sahib Khalsa, Jesse Brown, Jennifer Levitt, Jeffry Alger, Joseph O’Neill

Abstract

Intensive cognitive-behavioral therapy (CBT) can effectively reduce symptoms in obsessive-compulsive disorder (OCD). However, many relapse after treatment. Few studies have investigated biological markers predictive of follow-up clinical status. The objective was to determine if brain network connectivity patterns prior to intensive CBT predict worsening of clinical symptoms during follow-up. We acquired resting-state functional magnetic resonance imaging data from 17 adults with OCD prior to and following 4 weeks of intensive CBT. Functional connectivity data were analyzed to yield graph-theory metrics. We examined the relationship between pre-treatment connectome properties and OCD clinical symptoms before and after treatment and during a 12-month follow-up period. Mean OCD symptom decrease was 40.4 ± 16.4% pre- to post-treatment (64.7% responded; 58.8% remitted), but 35.3% experienced clinically significant worsening during follow-up. From pre- to post-treatment, small-worldness and clustering coefficient significantly increased. Decreases in modularity correlated with decreases in OCD symptoms. Higher pre-treatment small-world connectivity was significantly associated with worsening of OCD symptoms during the follow-up period. Psychometric and neurocognitive measures pre- and post-treatment were not significant predictors. This is the first graph-theory connectivity study of the effects of CBT in OCD, and the first to test associations with follow-up clinical status. Results show functional network efficiency as a biomarker of CBT response and relapse in OCD. CBT increases network efficiency as it alleviates symptoms in most patients, but those entering therapy with already high network efficiency are at greater risk of relapse. Results have potential clinical implications for treatment selection.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 99 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 1 1%
United States 1 1%
Germany 1 1%
Argentina 1 1%
Unknown 95 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 17 17%
Student > Master 17 17%
Student > Ph. D. Student 12 12%
Student > Postgraduate 8 8%
Student > Bachelor 6 6%
Other 18 18%
Unknown 21 21%
Readers by discipline Count As %
Psychology 32 32%
Medicine and Dentistry 12 12%
Neuroscience 12 12%
Agricultural and Biological Sciences 5 5%
Social Sciences 4 4%
Other 10 10%
Unknown 24 24%
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 17 July 2015.
All research outputs
#687,312
of 22,803,211 outputs
Outputs from Frontiers in Psychiatry
#341
of 9,905 outputs
Outputs of similar age
#8,964
of 266,622 outputs
Outputs of similar age from Frontiers in Psychiatry
#4
of 48 outputs
Altmetric has tracked 22,803,211 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 9,905 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.4. This one has done particularly well, scoring higher than 96% 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 266,622 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 96% of its contemporaries.
We're also able to compare this research output to 48 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 91% of its contemporaries.