Effect of chronic cocaine use on fine motor coordination tested during ophthalmic vitreoretinal simulated performance

Roizenblatt, Marina; Fidalgo, Thiago M.; Polizelli, Murilo Ubukata; Cruz, Natasha Ferreira Santos da; Roizenblatt, Arnaldo; Jiramongkolchai, Kim; Gehlbach, Peter; Farah, Michel Eid; Belfort, Rubens; Maia, Maurício

doi:10.1016/j.jpsychires.2020.09.032

Cited by 5 publications

(2 citation statements)

References 27 publications

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“…Together they could participate a functional network supplying several motor coordination and sensory monitoring functions related to action execution. This might help to explain behavioural findings that found deficits in various domains of simple and complex motor performance, -coordination, and sensory integration in SUDs (Dervaux et al, 2013;Güçlü et al, 2023;Roizenblatt et al, 2021;Sánchez-Camarero et al, 2019;Umut et al, 2020;Wolf et al, 2023).…”

mentioning

confidence: 89%

Intrinsic brain activity in sensorimotor cortices characterises substance use disorders: An activation likelihood estimation meta-analysis

Fascher,

Nowaczynski,

Muehlhan

2024

Preprint

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Substance use disorders (SUDs) are severe psychiatric illnesses. Seed region and independent component analyses are currently the dominant connectivity measures but carry the risk of false negatives due to selection. They can be complemented by data-driven whole-brain metrics of intrinsic brain activity (IBA). We meta-analytically integrated voxel-wise IBA measures of regional homogeneity (ReHo), amplitude of low-frequency fluctuations (ALFF), voxel-mirrored homotopy connectivity (VMHC) and degree centrality (DC) across different SUDs using the Activation Likelihood Estimation (ALE) algorithm, functionally decoded emerging clusters, and analysed their connectivity profiles. Our systematic search identified 51 studies including 1,439 SUD participants. Although no overall convergent pattern of alterations across IBA measures in SUDs was found, sensitivity analyses demonstrated two ALE-derived clusters of increased ReHo and ALFF in SUDs, which peaked in the left pre- and postcentral cortices. Subsequent analyses showed their involvement in action execution, somesthesis, finger tapping and vibrotactile monitoring/discrimination. Their numerous clinical correlates across included studies highlight the under-discussed role of sensorimotor cortices in SUD, urging a more attentive exploration of their clinical significance.

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confidence: 89%

Intrinsic brain activity in sensorimotor cortices characterises substance use disorders: An activation likelihood estimation meta-analysis

Fascher,

Nowaczynski,

Muehlhan

2024

Preprint

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“…In addition, pronounced changes in bilateral sensorimotor control are associated with chronic cocaine abuse, resulting in functional changes in all movement-related brain networks [33]. This also includes negative effects on fine motor skills, as measured by bimanual tasks or maneuvers that require simultaneous coordination of limbs [34].…”

Section: Stationary Fc and Functional Network Characterizationmentioning

confidence: 99%

Altered Dynamics and Characterization of Functional Networks in Cocaine Use Disorder: A Coactivation Pattern Analysis of Resting-State fMRI data

Klugah-Brown,

Yao,

Yang

et al. 2024

Preprint

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BackgroundCocaine Use Disorder (CUD) poses significant neurobiological and neuropsychiatric challenges, often resulting in severe cognitive and behavioral impairments. This study aims to explore the neural dynamics of CUD using a dynamic coactivation pattern (CAP) analysis approach to provide a deeper understanding of the transient neurobiological mechanisms of the disorder.MethodsResting-state functional MRI data (SUDMEX_CONN) from 56 CUD patients and 57 healthy controls (HC) were analyzed. CAP analysis was employed to capture transient brain states and their coactivation patterns. Temporal dynamic metrics such as Fraction of Time, Persistence (PST), and Counts were computed to assess differences between groups. Stationary functional connectivity (sFC) was also examined, and meta-analytic term mapping from the Neurosynth database was used to characterize functional associations.ResultsCAP analysis revealed six distinct coactivation patterns, with five showing high spatial similarity between CUD and HC groups. Notable differences were observed in State 6, which displayed inverse activation patterns between the groups. CUD individuals exhibited significantly reduced PST across all brain states and altered transition probabilities, particularly increased transitions from the default mode network (DMN) to the somatomotor network and decreased transitions from DMN to attentional/executive networks. Clinical correlations indicated that prolonged cocaine use was associated with altered PST in specific brain states. sFC analysis identified significant alterations in regions such as the right supramarginal gyrus, left superior frontal gyrus, right precentral gyrus, and right lingual gyrus, each linked to distinct cognitive and behavioral functions.ConclusionsThis study highlights the utility of CAP analysis in capturing the dynamic neural underpinnings of CUD. The findings provide insights into the neurobiological mechanisms of the disorder, suggesting potential biomarkers for CUD. These results have implications for developing an enhanced approach for substance use disorders, as well as improving our understanding and management of CUD.

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Substance use disorders are characterised by increased voxel-wise intrinsic measures in sensorimotor cortices: An ALE meta-analysis

Fascher,

Nowaczynski,

Muehlhan

2024

Neuroscience & Biobehavioral Reviews

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Effect of chronic cocaine use on fine motor coordination tested during ophthalmic vitreoretinal simulated performance

Cited by 5 publications

References 27 publications

Intrinsic brain activity in sensorimotor cortices characterises substance use disorders: An activation likelihood estimation meta-analysis

Intrinsic brain activity in sensorimotor cortices characterises substance use disorders: An activation likelihood estimation meta-analysis

Altered Dynamics and Characterization of Functional Networks in Cocaine Use Disorder: A Coactivation Pattern Analysis of Resting-State fMRI data

Substance use disorders are characterised by increased voxel-wise intrinsic measures in sensorimotor cortices: An ALE meta-analysis

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