scholarly journals Brain Age Prediction Reveals Aberrant Brain White Matter in Schizophrenia and Bipolar Disorder: A Multisample Diffusion Tensor Imaging Study

2020 ◽  
Vol 5 (12) ◽  
pp. 1095-1103 ◽  
Author(s):  
Siren Tønnesen ◽  
Tobias Kaufmann ◽  
Ann-Marie G. de Lange ◽  
Geneviève Richard ◽  
Nhat Trung Doan ◽  
...  
Keyword(s):  
Bipolar Disorder ◽  
Diffusion Tensor Imaging ◽  
White Matter ◽  
Diffusion Tensor ◽  
Imaging Study ◽  
Brain White Matter ◽  
Brain Age ◽  
Diffusion Tensor Imaging Study ◽  
Age Prediction

scholarly journals Brain age prediction reveals aberrant brain white matter in schizophrenia and bipolar disorder: A multi-sample diffusion tensor imaging study

2019 ◽  
Author(s):  
Siren Tønnesen ◽  
Tobias Kaufmann ◽  
Ann-Marie de Lange ◽  
Genevieve Richard ◽  
Nhat Trung Doan ◽  
...  
Keyword(s):  
Diffusion Tensor Imaging ◽  
White Matter ◽  
Diffusion Tensor ◽  
Imaging Study ◽  
Brain Maturation ◽  
Group Differences ◽  
Healthy Controls ◽  
Brain White Matter ◽  
Brain Age ◽  
Age Prediction

AbstractBackgroundSchizophrenia (SZ) and bipolar disorders (BD) share substantial neurodevelopmental components affecting brain maturation and architecture. This necessitates a dynamic lifespan perspective in which brain aberrations are inferred from deviations from expected lifespan trajectories. We applied machine learning to diffusion tensor imaging (DTI) indices of white matter structure and organization to estimate and compare brain age between patients with SZ, BD, and healthy controls across 10 cohorts.MethodsWe trained six cross-validated models using different combinations of DTI data from 927 healthy controls (HC, 18-94 years), and applied the models to the test sets including 648 SZ (18-66 years) patients, 185 BD patients (18-64 years), and 990 HC (17-68 years), estimating brain age for each participant. Group differences were assessed using linear models, accounting for age, sex, and scanner. A meta-analytic framework was applied to assess the heterogeneity and generalizability of the results.Results10-fold cross-validation revealed high accuracy for all models. Compared to controls, the model including all feature sets significantly over-estimated the age of patients with SZ (d=-.29) and BD (d=.18), with similar effects for the other models. The meta-analysis converged on the same findings. Fractional anisotropy (FA) based models showed larger group differences than the models based on other DTI-derived metrics.ConclusionsBrain age prediction based on DTI provides informative and robust proxies for brain white matter integrity. Our results further suggest that white matter aberrations in SZ and BD primarily consist of anatomically distributed deviations from expected lifespan trajectories that generalize across cohorts and scanners.

scholarly journals Altered microstructure of brain white matter in females with anorexia nervosa: a diffusion tensor imaging study

2017 ◽  
Vol Volume 13 ◽  
pp. 2829-2836 ◽  
Author(s):  
Shaohua Hu ◽  
Hong Feng ◽  
Tingting Xu ◽  
Haorong Zhang ◽  
Zhiyong Zhao ◽  
...  
Keyword(s):  
Anorexia Nervosa ◽  
Diffusion Tensor Imaging ◽  
White Matter ◽  
Diffusion Tensor ◽  
Imaging Study ◽  
Brain White Matter ◽  
Diffusion Tensor Imaging Study

scholarly journals Microstructural White Matter Changes in the Corpus Callosum of Young People with Bipolar Disorder: A Diffusion Tensor Imaging Study

PLoS ONE ◽  
2013 ◽  
Vol 8 (3) ◽  
pp. e59108 ◽  
Author(s):  
Jim Lagopoulos ◽  
Daniel F. Hermens ◽  
Sean N. Hatton ◽  
Juliette Tobias-Webb ◽  
Kristi Griffiths ◽  
...  
Keyword(s):  
Bipolar Disorder ◽  
Diffusion Tensor Imaging ◽  
White Matter ◽  
Young People ◽  
Corpus Callosum ◽  
Diffusion Tensor ◽  
Imaging Study ◽  
White Matter Changes ◽  
Diffusion Tensor Imaging Study

scholarly journals A Voxel-Based Diffusion Tensor Imaging Study of White Matter in Bipolar Disorder

2009 ◽  
Vol 34 (6) ◽  
pp. 1590-1600 ◽  
Author(s):  
Katie Mahon ◽  
Jinghui Wu ◽  
Anil K Malhotra ◽  
Katherine E Burdick ◽  
Pamela DeRosse ◽  
...  
Keyword(s):  
Bipolar Disorder ◽  
Diffusion Tensor Imaging ◽  
White Matter ◽  
Diffusion Tensor ◽  
Imaging Study ◽  
Diffusion Tensor Imaging Study

scholarly journals Altered Development of White Matter in Youth at High Familial Risk for Bipolar Disorder: A Diffusion Tensor Imaging Study

2010 ◽  
Vol 49 (12) ◽  
pp. 1249-1259.e1 ◽  
Author(s):  
Amelia Versace ◽  
Cecile D. Ladouceur ◽  
Soledad Romero ◽  
Boris Birmaher ◽  
David A. Axelson ◽  
...  
Keyword(s):  
Bipolar Disorder ◽  
Diffusion Tensor Imaging ◽  
White Matter ◽  
Diffusion Tensor ◽  
Familial Risk ◽  
Imaging Study ◽  
Diffusion Tensor Imaging Study
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