Microsructural diffusion imaging of the hippocamous in treatment resistant depression

IF 3 3区医学 Q2 CLINICAL NEUROLOGY

Journal of Neuroradiology Pub Date : 2025-02-19 DOI:10.1016/j.neurad.2025.101248

Alice Le Berre , David Attali , Ivy Uszynski , Clément Debacker , Maliesse Lui , Sylvain Charron , Mylène Moyal , François Ramon , Adèle Henensal , Joseph Benzakoun , Lilia Mekaoui , Philip Gorwood , Cyril Poupon , Arnaud Cachia , Marion Plaze , Catherine Oppenheim

{"title":"Microsructural diffusion imaging of the hippocamous in treatment resistant depression","authors":"Alice Le Berre , David Attali , Ivy Uszynski , Clément Debacker , Maliesse Lui , Sylvain Charron , Mylène Moyal , François Ramon , Adèle Henensal , Joseph Benzakoun , Lilia Mekaoui , Philip Gorwood , Cyril Poupon , Arnaud Cachia , Marion Plaze , Catherine Oppenheim","doi":"10.1016/j.neurad.2025.101248","DOIUrl":null,"url":null,"abstract":"<div><h3>Introduction</h3><div>Severe depressive disorder is associated with smaller hippocampal volumes. We hypothesized that Neurite Orientation Dispersion and Density Imaging (NODDI) could provide in vivo evidence of decreased hippocampal neuroplasticity in patients with depression.</div></div><div><h3>Methods</h3><div>This cross-sectional study evaluated 43 patients with treatment-resistant depression eligible for electroconvulsive therapy and 24 controls. MRI evaluations included a 3T scan with 3DT1-weighted and multi-shell diffusion sequences (b = 200/1500/2500 s/mm², 30/45/60 directions). Q-ball, diffusion tensor, and NODDI models were used to obtain axial diffusivity (AD), radial diffusivity (RD), mean diffusivity (MD), fractional anisotropy (FA), generalized FA (GFA), neurite density index (NDI), isotropic fraction (Fiso), and orientation dispersion index (ODI). Hippocampal volumes were extracted using FreeSurfer from T1-weighted images. Pearson correlations adjusted for sex and group analyzed the relationship between age and bilateral hippocampal diffusion. Mixed-effects models assessed the impact of depression, hemisphere, sex, and age on eight diffusion metrics. Correlation matrices and group-specific correlograms analyzed diffusion metrics across both hippocampi. Principal component analysis (PCA) reduced these metrics to components explaining ‘95% of the variance.</div></div><div><h3>Results</h3><div>A total of 107 MRIs from patients and 24 MRIs from controls were analyzed. Hippocampal NDI was negatively correlated with age (r = -0.41, p = 0.002), while hippocampal Fiso was positively correlated (r = 0.45, p = 0.001). FA, GFA, AD, NDI, and ODI showed significant differences between patients and controls, despite comparable hippocampal volumes. PCA analysis effectively distinguished the two groups, achieving a diagnostic accuracy of 1.</div></div><div><h3>Conclusion</h3><div>Diffusion microstructural analyses reveal hippocampal alterations in severely depressed patients, potentially reflecting decreased neuroplasticity.</div></div>","PeriodicalId":50115,"journal":{"name":"Journal of Neuroradiology","volume":"52 2","pages":"Article 101248"},"PeriodicalIF":3.0000,"publicationDate":"2025-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Neuroradiology","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0150986125000070","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"CLINICAL NEUROLOGY","Score":null,"Total":0}

引用次数: 0

Abstract

Introduction

Severe depressive disorder is associated with smaller hippocampal volumes. We hypothesized that Neurite Orientation Dispersion and Density Imaging (NODDI) could provide in vivo evidence of decreased hippocampal neuroplasticity in patients with depression.

Methods

This cross-sectional study evaluated 43 patients with treatment-resistant depression eligible for electroconvulsive therapy and 24 controls. MRI evaluations included a 3T scan with 3DT1-weighted and multi-shell diffusion sequences (b = 200/1500/2500 s/mm², 30/45/60 directions). Q-ball, diffusion tensor, and NODDI models were used to obtain axial diffusivity (AD), radial diffusivity (RD), mean diffusivity (MD), fractional anisotropy (FA), generalized FA (GFA), neurite density index (NDI), isotropic fraction (Fiso), and orientation dispersion index (ODI). Hippocampal volumes were extracted using FreeSurfer from T1-weighted images. Pearson correlations adjusted for sex and group analyzed the relationship between age and bilateral hippocampal diffusion. Mixed-effects models assessed the impact of depression, hemisphere, sex, and age on eight diffusion metrics. Correlation matrices and group-specific correlograms analyzed diffusion metrics across both hippocampi. Principal component analysis (PCA) reduced these metrics to components explaining ‘95% of the variance.

Results

A total of 107 MRIs from patients and 24 MRIs from controls were analyzed. Hippocampal NDI was negatively correlated with age (r = -0.41, p = 0.002), while hippocampal Fiso was positively correlated (r = 0.45, p = 0.001). FA, GFA, AD, NDI, and ODI showed significant differences between patients and controls, despite comparable hippocampal volumes. PCA analysis effectively distinguished the two groups, achieving a diagnostic accuracy of 1.

Conclusion

Diffusion microstructural analyses reveal hippocampal alterations in severely depressed patients, potentially reflecting decreased neuroplasticity.

查看原文本刊更多论文

求助全文

约1分钟内获得全文求助全文

来源期刊

Journal of Neuroradiology 医学-核医学

CiteScore

6.10

自引率

5.70%

发文量

142

审稿时长

6-12 weeks

期刊介绍： The Journal of Neuroradiology is a peer-reviewed journal, publishing worldwide clinical and basic research in the field of diagnostic and Interventional neuroradiology, translational and molecular neuroimaging, and artificial intelligence in neuroradiology. The Journal of Neuroradiology considers for publication articles, reviews, technical notes and letters to the editors (correspondence section), provided that the methodology and scientific content are of high quality, and that the results will have substantial clinical impact and/or physiological importance.