Potential brain recovery of frontostriatal circuits in heroin users after prolonged abstinence: A preliminary study

Lu, Ling; Yang, Wenhan; Zhang, Xiaozi; Tang, Fei; Du, Yanyao; Fan, Li; Luo, Jing; Cui, Yan; Zhang, Jun; Li, Jun; Liu, Jixin; Deneen, Karen M. von; Yu, Dahua; Yuan, Kai

doi:10.1016/j.jpsychires.2022.06.036

Cited by 14 publications

(14 citation statements)

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“…Impulsivity traits and dysfunctional reward circuits of ventral- and dorsal striatum in drug-independent individuals may lead to a propensity toward drug abuse. Both impaired structural and functional connectivity in ventral and dorsal striatum-PFC circuits were revealed in heroin users (Lu et al ., 2022 ), which complements neuroimaging evidence for the dramatic dysregulation of key circuits involved in craving, impaired inhibitory control, and reward deficits in addiction (Everitt and Robbins, 2013 ; Koob and Volkow, 2016 ). Although there are similar changes in corticostriatal circuits, the ventral striatal-frontal circuits implicated in incentive salience and the dorsal striatal-frontal circuits associated with adaptive regulation of a drug-use habit show distinct functions in the transition and formation of addiction (Vollstädt-Klein et al ., 2010 ; Zhou et al ., 2018 ; Gerchen et al ., 2019 ; Zhou et al ., 2019 ; Ersche et al ., 2020 ).…”

Section: The Corticostriatal Circuits Plasticity Changes In Addictionmentioning

confidence: 66%

“…The abnormalities in structural and functional connectivity were also found in several brain circuits containing corticostriatal circuits, midbrain pathways, and thalamic-cortical circuits involved in reward processing, cognitive control, and craving (Yuan et al ., 2017 ; Yuan et al ., 2018 ). The critical role of corticostriatal circuits in addiction has become the primary focus associated with reward in the striatum and cognitive control in the prefrontal cortex (PFC) (Yuan et al ., 2016 ; Yuan et al ., 2017 ; Yuan et al ., 2018 ; Yuan et al ., 2018 ; Liu et al ., 2021 ; Lu et al ., 2022 ). The circuits involve parallel loops including different pathways from different areas of the PFC to different subregions of the striatum, implicating cognitive, impulsivity, compulsivity, and reward processing in addiction behavior (Robbins et al ., 2012 ).…”

Section: The Corticostriatal Circuits Plasticity Changes In Addictionmentioning

confidence: 99%

“…The increased functional connectivity of the midbrain-cortical circuits shown after 10 months' abstinence indicated partial brain recovery of impaired function during abstinence (Xu et al ., 2021 ). Furthermore, the brain structure in Fractional Anisotropy (FA) values and functional connectivity in the frontal-striatal circuits were correlated to craving changes and cognitive scores observed in heroin abstainers (Lu et al ., 2022 ), which means that these circuits might be potential biomarkers for cognition and craving changes. From the dynamic perspective, reconfigurations of dynamic functional network connectivity in the large-scale brain network were also observed, which improved the understanding of the neurobiology of prolonged abstinence in heroin users (Zhang et al ., 2022 ).…”

Section: Brain Recovery After Prolonged Abstinence In Addictionmentioning

confidence: 99%

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Implications of neuroimaging findings in addiction

Wen

Yue

et al. 2023

Psychoradiology

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Addiction is characterized by a persistent cycle of drug seeking and taking as well as high relapse rate. Neuroimaging technology offers an opportunity to elucidate the brain neurobiology in addiction, with particular attention to those circuits implicated in reward processing, memory and cognitive control etc. Here, we summarized the neuroimaging evidence in addiction to reveal the brain structural and functional plasticity changes and recovery with prolonged abstinence. Moreover, neuroimaging combined with machine learning may allow a prediction of relapse risk. Repeated transcranial magnetic stimulation (rTMS) has been proved to be effective in drug addiction by modulating the brain region and circuits. We further proposed neuronavigated rTMS may provide a scientific and advanced strategy to improve the therapy by promoting accurate individualized stimulation targets. In conclusion, combination of neuroimaging with multimodal fusion, machine learning and neurostimulation has the potential to extend our understanding of the brain neuroplasticity and therapy in addiction. We expected this paper would promote the translation and treatment in addiction and propound recommendations for the urgent challenges to mitigate the addiction relapse rate in future.

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Section: The Corticostriatal Circuits Plasticity Changes In Addictionmentioning

confidence: 66%

Section: The Corticostriatal Circuits Plasticity Changes In Addictionmentioning

confidence: 99%

Section: Brain Recovery After Prolonged Abstinence In Addictionmentioning

confidence: 99%

See 1 more Smart Citation

Implications of neuroimaging findings in addiction

Wen

Yue

et al. 2023

Psychoradiology

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“…Neurobiological models posit that the identification of specific impaired communication between brain regions can contribute significantly to the characteristic behavioral deficits [57,58]. In the seedbased analysis, the primary results showed a decrease in anticorrelation between DMN and the primary somatosensory cortex in patients with MDD.…”

Section: Discussionmentioning

confidence: 97%

Dysfunction in Sensorimotor and Default Mode Networks: Elucidating the Neural Correlates of Major Depressive Disorder

Zhang,

Huang,

Zhao

et al. 2023

Preprint

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Major depressive disorder (MDD) is recognized as a severe mental illness with imbalanced interactions among brain networks. However, the detailed mechanisms of large-scale network dysfunction and their clinical implications are not fully understood. To explore the neurological basis of altered connectivity within the brain, the current study aims to examine large-scale connectivity coherence in MDD. A total resting-state functional magnetic resonance image data of 1148 MDD patients and 1079 healthy volunteers (HV) was collected from nine research centers. The global brain connectivity (GBC) offering an objective and comprehensive perspective on changes in functional connectivity (FC) was estimated and compared between groups. The regions with notably altered GBC in MDD patients were identified as the seeds for calculating the brain FC. Compared to HV, MDD patients had decreased GBC in sensorimotor/visual networks, including bilateral pre-/postcentral, fusiform gyrus, and inferior occipital gyrus, and increased GBC mainly in default mode networks (DMN), including bilateral precuneus, posterior cingulate cortex, superior frontal gyrus, and left angular gyrus. These GBC alterations were closely linked with meta-analytic terms associated with sensory and higher-order cognitive processing. Further seed-based analyses revealed that MDD patients had heightened FC between DMN and primary sensory cortices, but reduced FC within primary sensory cortices themselves. Our findings suggest that the aberrant intrinsic functional hubs identified in both higher-order cognitive systems and low-level sensory systems may signify a disruption in information exchange from primary to higher-order systems, which may contribute to the multifaceted clinical and cognitive deficits observed in MDD.

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“…In a comparison of individuals with fewer than 10 years or 10–20 years of heroin use, a longer duration of opioid exposure was associated with more widespread reductions in FA, particularly in the corpus callosum, thalamic radiation, and parietal, frontal, and temporal tracts ( 95 ). Cessation of opioid use partially restored FA measures ( 96 , 97 ).…”

Section: Mri: Diffusion Tensor Imagingmentioning

confidence: 91%

Imaging neuroinflammation in individuals with substance use disorders

Li,

Ramos-Rolón,

Kass

et al. 2024

Journal of Clinical Investigation

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Increasing evidence suggests a role of neuroinflammation in substance use disorders (SUDs). This Review presents findings from neuroimaging studies assessing brain markers of inflammation in vivo in individuals with SUDs. Most studies investigated the translocator protein 18 kDa (TSPO) using PET; neuroimmune markers myo-inositol, choline-containing compounds, and N-acetyl aspartate using magnetic resonance spectroscopy; and fractional anisotropy using MRI. Study findings have contributed to a greater understanding of neuroimmune function in the pathophysiology of SUDs, including its temporal dynamics (i.e., acute versus chronic substance use) and new targets for SUD treatment.

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Potential brain recovery of frontostriatal circuits in heroin users after prolonged abstinence: A preliminary study

Cited by 14 publications

References 56 publications

Implications of neuroimaging findings in addiction

Implications of neuroimaging findings in addiction

Dysfunction in Sensorimotor and Default Mode Networks: Elucidating the Neural Correlates of Major Depressive Disorder

Imaging neuroinflammation in individuals with substance use disorders

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