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White Matter Microstructure in Pediatric Bipolar Disorder and Disruptive Mood Dysregulation Disorder - 25/09/20

Doi : 10.1016/j.jaac.2019.05.035 
Julia O. Linke, PhD a, , Nancy E. Adleman, PhD b, Joelle Sarlls, PhD c, Andrew Ross, BA a, Samantha Perlstein, BA a, Heather R. Frank, BA a, Kenneth E. Towbin, MD a, Daniel S. Pine, MD a, Ellen Leibenluft, MD a, Melissa A. Brotman, PhD a
a Emotion and Development Branch, National Institute of Mental Health, National Institutes of Health, Bethesda, Maryland 
b The Catholic University of America, Washington, DC 
c NIH MRI Research Facility, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, Maryland 

Correspondence to Julia Linke, PhD, 9000 Rockville Pike, MSC-2670, Building 15K, Bethesda, MD9000 Rockville PikeMSC-2670, Building 15KBethesdaMD 20892

Abstract

Objective

Disruptive mood dysregulation disorder (DMDD) codifies severe, chronic irritability. Youths with bipolar disorder (BD) also present with irritability, but with an episodic course. To date, it is not clear whether aberrant white matter microstructure—a well-replicated finding in BD—can be observed in DMDD and relates to symptoms of irritability.

Method

We acquired diffusion tensor imaging data from 118 participants (BD = 36, DMDD = 44, healthy volunteers (HV = 38). Images of fractional anisotropy (FA), axial diffusivity (AD), and radial diffusivity (RD) were processed with tract-based spatial statistics controlling for age and sex. The data were also used to train Gaussian process classifiers to predict diagnostic group.

Results

In BD vs DMDD, FA in the corticospinal tract was reduced. In DMDD vs HV, reductions in FA and AD were confined to the anterior corpus callosum. In BD vs HV, widespread reductions in FA and increased RD were observed. FA in the anterior corpus callosum and corticospinal tract was negatively associated with irritability. The Gaussian process classifier could not discriminate between BD and DMDD, but achieved 68% accuracy in predicting DMDD vs HV and 75% accuracy in predicting BD vs HV.

Conclusion

Aberrant white matter microstructure was associated with both categorical diagnosis and the dimension of irritability. Alterations in DMDD were regionally discrete and related to reduced AD. In BD, we observed widespread increases in RD, supporting the hypothesis of altered myelination in BD. These findings will contribute to the pathophysiological understanding of DMDD and its differentiation from BD.

Clinical trial registration information: Studies of Brain Function and Course of Illness in Pediatric Bipolar Disorder; clinicaltrials.gov/; NCT00025935; Child & Adolescent Bipolar Disorder Brain Imaging and Treatment Study; clinicaltrials.gov/; NCT00006177.

Il testo completo di questo articolo è disponibile in PDF.

Key words : pediatric bipolar disorder, disruptive mood dysregulation disorder, diffusion tensor imaging, tract-based spatial statistics, machine learning


Mappa


 Drs. Linke and Adleman contributed equally to this work.
 This research was supported by the Intramural Research Program of the National Institute of Mental Health (NIMH) (ZIA: MH002778-18; ClinicalTrials.gov identifier: NCT00025935, and ZIA: MH002786-16; ClinicalTrials.gov identifier: NCT00006177).
 Disclosure: Drs. Linke, Adleman, Sarlls, Towbin, Pine, Leibenluft, Brotman, Mr. Ross, and Mss. Perlstein and Frank have reported no biomedical financial interests or potential conflicts of interest.


© 2020  Pubblicato da Elsevier Masson SAS.
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