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Brain activity classifies adolescents with and without a familial history of substance use disorders

Overview of attention for article published in Frontiers in Human Neuroscience, April 2015
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  • Good Attention Score compared to outputs of the same age (73rd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (59th percentile)

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Title
Brain activity classifies adolescents with and without a familial history of substance use disorders
Published in
Frontiers in Human Neuroscience, April 2015
DOI 10.3389/fnhum.2015.00219
Pubmed ID
Authors

Jianping Qiao, Zhishun Wang, Lupo Geronazzo-Alman, Lawrence Amsel, Cristiane Duarte, Seonjoo Lee, George Musa, Jun Long, Xiaofu He, Thao Doan, Joy Hirsch, Christina W. Hoven

Abstract

We aimed to uncover differences in brain circuits of adolescents with parental positive or negative histories of substance use disorders (SUD), when performing a task that elicits emotional conflict, testing whether the brain circuits could serve as endophenotype markers to distinguish these adolescents. We acquired functional magnetic resonance imaging data from 11 adolescents with a positive familial history of SUD (FH+ group) and seven adolescents with a negative familial history of SUD (FH- group) when performing an emotional stroop task. We extracted brain features from the conflict-related contrast images in group level analyses and granger causality indices (GCIs) that measure the causal interactions among regions. Support vector machine (SVM) was applied to classify the FH+ and FH- adolescents. Adolescents with FH+ showed greater activity and weaker connectivity related to emotional conflict, decision making and reward system including anterior cingulate cortex (ACC), prefrontal cortex (PFC), and ventral tegmental area (VTA). High classification accuracies were achieved with leave-one-out cross validation (89.75% for the maximum conflict, 96.71% when combining maximum conflict and general conflict contrast, 97.28% when combining activity of the two contrasts and GCIs). Individual contributions of the brain features to the classification were further investigated, indicating that activation in PFC, ACC, VTA and effective connectivity from PFC to ACC play the most important roles. We concluded that fundamental differences of neural substrates underlying cognitive behaviors of adolescents with parental positive or negative histories of SUD provide new insight into potential neurobiological mechanisms contributing to the elevated risk of FH+ individuals for developing SUD.

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 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 66 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 1 2%
Unknown 65 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 18 27%
Student > Master 9 14%
Student > Doctoral Student 6 9%
Student > Postgraduate 5 8%
Student > Bachelor 3 5%
Other 11 17%
Unknown 14 21%
Readers by discipline Count As %
Psychology 21 32%
Medicine and Dentistry 8 12%
Neuroscience 4 6%
Nursing and Health Professions 3 5%
Computer Science 3 5%
Other 10 15%
Unknown 17 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 15 May 2015.
All research outputs
#6,119,844
of 23,577,654 outputs
Outputs from Frontiers in Human Neuroscience
#2,428
of 7,319 outputs
Outputs of similar age
#69,838
of 266,995 outputs
Outputs of similar age from Frontiers in Human Neuroscience
#73
of 182 outputs
Altmetric has tracked 23,577,654 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 7,319 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.6. This one has gotten more attention than average, scoring higher than 66% 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 266,995 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.
We're also able to compare this research output to 182 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 59% of its contemporaries.