Neurite orientation dispersion and density imaging in cocaine use disorder

Rasgado-Toledo, Jalil; Shah, A. F. M. Shahen; Ingalhalikar, Madhura; Garza-Villarreal, Eduardo A.

doi:10.1016/j.pnpbp.2021.110474

Cited by 12 publications

(12 citation statements)

References 67 publications

(65 reference statements)

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“…The caudate nucleus, a part of the striatum, has been described as a core region involved in habit learning, motor behavior, and compulsive drug-seeking behavior (30). The present findings are in line with previous MRI studies which have found striatum alteration in CUD patients such as a reduced striatal volume (4,31), morphological and microstructural changes (32,33), and altered functional connectivity (34–36). A lower inter-modular communication of the caudate nucleus in CUD may be related to compulsive drug-seeking behavior.…”

Section: Discussionsupporting

confidence: 93%

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Structural and functional pathology in cocaine use disorder with polysubstance use: a multimodal fusion approach

Rasgado-Toledo

Duvvada²,

Shah

et al. 2023

Preprint

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Cocaine use disorder (CUD) is described as a compulsive urge to seek and consume cocaine despite the inimical consequences. MRI studies from different modalities have shown that CUD patients exhibit structural and/or functional connectivity pathology among several brain regions. Nevertheless, both connectivities are commonly studied and analyzed separately, which may potentially obscure its relationship between them, and with the clinical pathology. Here, we compare and contrast structural and functional brain networks in CUD patients and healthy controls (HC) using multimodal fusion. The sample consisted of 63 (8 females) CUD patients and 42 (9 females) healthy controls (HC), recruited as part of the SUDMEX CONN database. For this, we computed a battery of graph-based measures from multi-shell diffusion-weighted imaging and resting state fc-fMRI to quantify local and global connectivity. Then we used multimodal canonical component analysis plus joint independent component analysis (mCCA+jICA) to compare between techniques, and evaluate group differences and its association with clinical alteration. Unimodal results showed a striatal decrease in the participation coefficient, but applied supervised data fusion revealed other regions with cocaine-related alterations in joint functional communication. When performing multimodal fusion analysis, we observed a higher centrality of the interrelationship and a lower participation coefficient in patients with CUD. In contrast to the unimodal approach, the multimodal fusion method was able to reveal latent information about brain regions involved in impairment due to cocaine abuse. The present results could help in understanding the pathology of CUD in order to develop better pre-treatment/post-treatment intervention designs.

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Section: Discussionsupporting

confidence: 93%

“…moral judgments) (40). This region has also been shown to be impaired in CUD (33,41) and associated with cue reactivity/craving in cocaine and other SUDs (42–45).…”

Section: Discussionmentioning

confidence: 99%

Structural and functional pathology in cocaine use disorder with polysubstance use: a multimodal fusion approach

Rasgado-Toledo

Duvvada²,

Shah

et al. 2023

Preprint

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“…All participants were asked to respond to an array of questionnaires administered by trained psychologists who were blinded to this study to obtain CUD severity measures and tobacco use. More detailed information about the clinical assessments and informed consent from all participants can be found in previous studies 34,35 …”

Section: Methodsmentioning

confidence: 99%

Abnormal neuroanatomical patterns as potential diagnostic biomarkers for cocaine use disorder

Xu,

Guo

et al. 2023

Addiction Biology

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Cocaine use disorder (CUD) is a global health problem with serious consequences for both individuals and society. Previous studies on abnormal anatomical patterns in CUD have mainly used voxel‐based morphometry to investigate grey matter volume changes, while surface‐based morphometry (SBM) has been found to provide detail information on cortical thickness (CT), surface area and cortical meancurve, which can contribute to a better understanding of structural brain changes associated with CUD. In this study, SBM was conducted to investigate abnormal neuroanatomical patterns in CUD and whether these abnormal patterns could be used as potential diagnostic biomarkers for CUD. Sixty‐eight CUD individuals and 52 matched healthy controls were enrolled, and all participants performed once MRI scanning and clinical assessments. We found that CUD individuals exhibited altered morphological indicators across widespread brain regions and these abnormal anatomical alterations were significantly predictive of CUD status. Furthermore, the CT reduction of right insula was significantly associated with years of cocaine use in CUD. These findings revealed the association of abnormal anatomical patterns in specific brain regions in CUD, which further improve the understanding of CUD pathophysiology and provide the alternative diagnostic biomarkers for CUD.

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“…Previous publications have used this dataset using diffusion kurtosis imaging analysis 15 , neurite orientation dispersion and density imaging analysis 16 , and a machine learning approach for the identification of cognitive markers in CUD 17 , among others 18 – 21 . Overall, this dataset could contribute to the in-depth study of substance use disorders, particularly cocaine use.…”

Section: Background and Summarymentioning

confidence: 99%

The Mexican magnetic resonance imaging dataset of patients with cocaine use disorder: SUDMEX CONN

et al. 2022

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Cocaine use disorder (CUD) is a substance use disorder (SUD) characterized by compulsion to seek, use and abuse of cocaine, with severe health and economic consequences for the patients, their families and society. Due to the lack of successful treatments and high relapse rate, more research is needed to understand this and other SUD. Here, we present the SUDMEX CONN dataset, a Mexican open dataset of 74 CUD patients (9 female) and matched 64 healthy controls (6 female) that includes demographic, cognitive, clinical, and magnetic resonance imaging (MRI) data. MRI data includes: 1) structural (T1-weighted), 2) multishell high-angular resolution diffusion-weighted (DWI-HARDI) and 3) functional (resting state fMRI) sequences. The repository contains unprocessed MRI data available in brain imaging data structure (BIDS) format with corresponding metadata available at the OpenNeuro data sharing platform. Researchers can pursue brain variability between these groups or use a single group for a larger population sample.

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Neurite orientation dispersion and density imaging in cocaine use disorder

Cited by 12 publications

References 67 publications

Structural and functional pathology in cocaine use disorder with polysubstance use: a multimodal fusion approach

Structural and functional pathology in cocaine use disorder with polysubstance use: a multimodal fusion approach

Abnormal neuroanatomical patterns as potential diagnostic biomarkers for cocaine use disorder

The Mexican magnetic resonance imaging dataset of patients with cocaine use disorder: SUDMEX CONN

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