AI/ML

Differentiating weight-restored anorexia nervosa and body dysmorphic disorder using neuroimaging and psychometric markers.

Icon for Public Library of Science Icon for PubMed Central Related Articles

Differentiating weight-restored anorexia nervosa and body dysmorphic disorder using neuroimaging and psychometric markers.

PLoS One. 2019;14(5):e0213974

Authors: Vaughn DA, Kerr WT, Moody TD, Cheng GK, Morfini F, Zhang A, Leow AD, Strober MA, Cohen MS, Feusner JD

Abstract
Anorexia nervosa (AN) and body dysmorphic disorder (BDD) are potentially life-threatening conditions whose partially overlapping phenomenology-distorted perception of appearance, obsessions/compulsions, and limited insight-can make diagnostic distinction difficult in some cases. Accurate diagnosis is crucial, as the effective treatments for AN and BDD differ. To improve diagnostic accuracy and clarify the contributions of each of the multiple underlying factors, we developed a two-stage machine learning model that uses multimodal, neurobiology-based, and symptom-based quantitative data as features: task-based functional magnetic resonance imaging data using body visual stimuli, graph theory metrics of white matter connectivity from diffusor tensor imaging, and anxiety, depression, and insight psychometric scores. In a sample of unmedicated adults with BDD (n = 29), unmedicated adults with weight-restored AN (n = 24), and healthy controls (n = 31), the resulting model labeled individuals with an accuracy of 76%, significantly better than the chance accuracy of 35% ([Formula: see text]). In the multivariate model, reduced white matter global efficiency and better insight were associated more with AN than with BDD. These results improve our understanding of the relative contributions of the neurobiological characteristics and symptoms of these disorders. Moreover, this approach has the potential to aid clinicians in diagnosis, thereby leading to more tailored therapy.

PMID: 31059514 [PubMed – in process]

Source link

Related posts

Take cover, it’s a drone with a nail gun!

Newsemia

SlimNets: An Exploration of Deep Model Compression and Acceleration. (arXiv:1808.00496v1 [cs.LG])

Newsemia

DeepSynth: Program Synthesis for Automatic Task Segmentation in Deep Reinforcement Learning. (arXiv:1911.10244v1 [cs.LG])

Newsemia

This website uses cookies to improve your experience. We'll assume you're ok with this, but you can opt-out if you wish. Accept Read More

Privacy & Cookies Policy

COVID-19

COVID-19 (Coronavirus) is a new illness that is having a major effect on all businesses globally LIVE COVID-19 STATISTICS FOR World