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Evaluating the impact of cannabis use on thalamic connectivity in youth at clinical high risk of psychosis

Overview of attention for article published in BMC Psychiatry, November 2015
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  • Above-average Attention Score compared to outputs of the same age (57th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (52nd percentile)

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Title
Evaluating the impact of cannabis use on thalamic connectivity in youth at clinical high risk of psychosis
Published in
BMC Psychiatry, November 2015
DOI 10.1186/s12888-015-0656-x
Pubmed ID
Authors

Lisa Buchy, Tyrone D. Cannon, Alan Anticevic, Kristina Lyngberg, Kristin S. Cadenhead, Barbara A. Cornblatt, Thomas H. McGlashan, Diana O. Perkins, Larry J. Seidman, Ming T. Tsuang, Elaine F. Walker, Scott W. Woods, Carrie E. Bearden, Daniel H. Mathalon, Jean Addington

Abstract

Disruptions in thalamic functional connectivity have been observed in people with schizophrenia and in youth at clinical high risk (CHR) of psychosis. However, the impact of environmental risk factors for psychosis on thalamic dysconnectivity is poorly understood. We tested whether thalamic dysconnectivity is related to patterns of cannabis use in a CHR sample. 162 CHR and 105 control participants were assessed on cannabis use severity, frequency, and age at onset of first use as part of the North American Prodrome Longitudinal Study and completed resting-state fMRI scans. Whole-brain thalamic functional connectivity maps were generated using individual subjects' anatomically defined thalamic seeds. Thalamic connectivity did not significantly correlate with current cannabis use severity or frequency in either CHR or controls. In CHR cannabis users, a significant correlation emerged between attenuated thalamic connectivity with left sensory/motor cortex and a younger age at onset of cannabis use. CHR who used cannabis before age 15 did not differ on thalamic connectivity as compared to CHR who used after age 15 or CHR who were cannabis naïve. No group differences in thalamic connectivity emerged when comparing CHR separated by moderate/high use frequency, low-frequency or cannabis naïve. Although a younger age at onset of cannabis use may be associated with disrupted thalamo-cortical coupling, cannabis use does not appear to be an identifying characteristic for thalamic connectivity in CHR with moderate/high use frequency compared to low-frequency users or CHR who are cannabis naïve.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 131 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Canada 2 2%
Sri Lanka 1 <1%
United States 1 <1%
Unknown 127 97%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 20 15%
Student > Ph. D. Student 18 14%
Student > Master 13 10%
Researcher 12 9%
Student > Postgraduate 8 6%
Other 24 18%
Unknown 36 27%
Readers by discipline Count As %
Medicine and Dentistry 25 19%
Psychology 22 17%
Neuroscience 16 12%
Social Sciences 7 5%
Biochemistry, Genetics and Molecular Biology 5 4%
Other 11 8%
Unknown 45 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 22 October 2016.
All research outputs
#7,468,944
of 22,833,393 outputs
Outputs from BMC Psychiatry
#2,484
of 4,692 outputs
Outputs of similar age
#96,447
of 284,834 outputs
Outputs of similar age from BMC Psychiatry
#38
of 84 outputs
Altmetric has tracked 22,833,393 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,692 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.9. This one is in the 45th percentile – i.e., 45% 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 284,834 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 57% of its contemporaries.
We're also able to compare this research output to 84 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 52% of its contemporaries.