Neurite orientation dispersion and density imaging in cocaine use disorder

Duvvada²,

Shah

et al. 2023

Preprint

Self Cite

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.

“…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)(43)(44)(45).…”

Section: Multimodal Resultsmentioning

confidence: 97%

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

Duvvada²,

Shah

et al. 2023

Preprint

Self Cite

“…Previous publications have used this dataset using diffusion kurtosis imaging analysis 11 , neurite orientation dispersion and density imaging analysis 12 , and a machine learning approach for the identification of cognitive markers in CUD 13 , among others , [14][15][16][17] . Overall, this dataset could contribute to the in-depth study of substance use disorders, particularly cocaine use.…”

Section: Background and Summarymentioning

confidence: 99%

SUDMEX CONN: The Mexican MRI dataset of patients with cocaine use disorder

Ángeles-Valdez

Issa-Garcia

et al. 2021

Preprint

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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 CUD patients and matched healthy controls 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.

“…Within this framework, using NODDI offers a unique opportunity to understand the microstructural plasticity of the human brain as a result of rTMS treatment for CUD. This may be particularly interesting as NODDI can be developed into an indicator of a state-of-disorder and treatment-outcome biomarker, as has been proposed for other diseases (14–18), and described in context of the state-of-disorder for alcohol and cocaine use disorders, however not for treatment-outcome (19,20).…”

Section: Introductionmentioning

confidence: 99%

Cortical and subcortical connections change after repetitive transcranial magnetic stimulation therapy in cocaine use disorder and predict clinical outcome

Issa-Garcia

Alcalá-Lozano

et al. 2022

Preprint

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Cocaine use disorder (CUD) is a worldwide public health condition which is suggested to induce pathological changes in macro- and microstructure. Treatments with psychosocial and pharmacological approaches achieve only low to moderate effects on dealing with cocaine clinical symptomatology. Novel approaches such as repetitive transcranial magnetic stimulation (rTMS) have gained attention to induce a reduction in CUD symptoms, yet its mechanisms remain partially understood. Here, we sought to elucidate whether rTMS induces changes on white matter (WM) microstructure in frontostriatal circuits after two weeks of therapy in patients with CUD, and to test whether baseline WM microstructure of the same circuits has an effect on clinical improvement. This study consisted of a 2-week, parallel group, double-blind, randomized controlled clinical trial (acute phase) (sham [n = 23] and active [n = 27]), in which patients received two daily sessions of rTMS on the left dorsolateral prefrontal cortex (lDLPFC) as an add-on treatment. We acquired T1-weighted and HARDI-DWI 2-shell sequences at baseline and at two weeks. To elucidate the effects from active rTMS on frontostriatal WM tracts, we extracted NODDI metrics and performed a linear mixed model. We further evaluated the relationship between clinical outcomes in craving and impulsivity and the baseline white matter microstructure. After 2 weeks, active rTMS showed a significant increase in neurite density (ICVF or the density of axons and dendrites) compared to sham rTMS in WM tracts connecting left DLPFC with left (B = 0.038, d = -0.278) and right vmPFC (B = 0.034, d = -0.112). Similarly, rTMS showed reduction in orientation dispersion (OD or axon organization) in WM tracts connecting left DLPFC with left caudate nucleus (B = 0.009, d = -0.087), left thalamus (B = 0.006, d = -0.489) and left vmPFC (B = 0.027, d = 0.024). Results also show a greater reduction in craving VAS after 2 weeks rTMS when baseline ICVF was low in WM tracts connecting left caudate nucleus with substantia nigra (B = 22.61, d = 0.729), left pallidum (B = 21.13, d = 0.738), and those connecting left thalamus with substantia nigra (B = 16.30, d = 0.649) and left pallidum (B = 21.92, d = 0.723). Our results suggest that rTMS induced white matter microstructural changes between fronto-striato-thalamic regions after 2 weeks. rTMS-induced microstructural changes may depend on the baseline integrity of the connections between the striatum, thalamus, and the substantia nigra. Connections that predicted clinical improvement in CUD. The current results support the efficacy of rTMS as a therapeutic tool in the treatment of CUD. However, the individual clinical improvement may rely on each patient state of structural connections integrity. Keywords: Cocaine use disorder; Imaging; Transcranial magnetic stimulation; Diffusion MRI; NODDI