Cortico-striatal engagement during cue-reactivity, reappraisal, and savoring of drug and non-drug stimuli predicts craving in heroin addiction

Huang, Yuefeng; Ceceli, Ahmet O.; Kronberg, Greg; King, Sarah; Malaker, Pias; Alia‐Klein, Nelly; Garland, Eric L.; Goldstein, Rita Z.

doi:10.1101/2022.05.27.22275628

Cited by 5 publications

(3 citation statements)

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“…Additionally, we found that the OFC and DLPFC play key roles in craving-associated state transitions. Whether it is research on addiction mechanisms [21] or exploration of addiction treatment targets [22], the OFC and DLPFC have always been brain areas of great concern. While previous studies [23, 24] have demonstrated the link between control of craving and OFC, and DLPFC, their analyses were limited to traditional static neuroimaging data, lacking consideration of the dynamic interaction among brain regions.…”

Section: Discussionmentioning

confidence: 99%

Neuro-Immune Communication at the Core of Craving-Associated Brain Structural Network Reconfiguration in Methamphetamine Users

Du,

Zhang,

Cao

et al. 2023

Preprint

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Methamphetamine (MA) addiction is a chronic neurotoxic brain disorder that places a significant burden on public health, with a high relapse risk. Long-term abstinence can significantly reduce craving, yet the potential alterations caused by long-term abstinence still remain unclear. In this study, a total of 62 MA users who underwent longitudinal follow-up during their period of long-term abstinence (duration of long-term abstinence: 347.52 ± 99.25 days) were enrolled. For the first time, we employed a promising framework known as network control theory to explore the impact of long-term abstinence on MA addicts. Our observations indicated that long-term abstinence led to a decline in the control energy required for transitions from the visual network, and somatomotor network to the frontoparietal network, suggesting a reduced barrier for triggering executive control response to the drug cues. Furthermore, we identified the orbitofrontal cortex and the dorsolateral prefrontal cortex as crucial regions involved in facilitating these transitions. Notably, we discovered significant associations between the influence of long-term abstinence on brain regions and the spatial distribution of key biological factors, such as DAT, 5HTT, D2, MOR, VAChT, and NET. Overall, our findings not only provide a novel perspective on understanding the impact of long-term abstinence in MA addicts but also link this process to biological factors.

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Section: Discussionmentioning

confidence: 99%

Neuro-Immune Communication at the Core of Craving-Associated Brain Structural Network Reconfiguration in Methamphetamine Users

Du,

Zhang,

Cao

et al. 2023

Preprint

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“…All iHUD were abstinent (for an average of 183 days during their first study session) and under medication-assisted treatment (confirmed via toxicology on both sessions and dosage in mg collected via self-report at baseline). Beck’s Depression and Anxiety Inventories, cue-induced drug craving (via self-reported ratings to picture stimuli from an in-house drug cue reactivity task 26 ) and number of days since last heroin use were collected at both sessions. Table 1 details heroin route of administration, nicotine/alcohol/cannabis use, urine toxicology, and medication dose, in addition to demographics, neuropsychological and additional drug use measures.…”

Section: Methodsmentioning

confidence: 99%

Recovery of inhibitory control prefrontal cortex function in inpatients with heroin use disorder: a 15-week longitudinal fMRI study

Ceceli

Huang

Gaudreault

et al. 2023

Preprint

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Importance: Heroin addiction and related mortality impose a devastating toll on society, with little known about the neurobiology of this disease or its treatment. Poor inhibitory control is a common manifestation of prefrontal cortex (PFC) impairments in addiction, and its potential recovery following treatment is largely unknown in heroin (or any drug) addiction. Objective: To study inhibitory control brain activity in iHUD and HC, before and after 15 weeks of inpatient treatment in the former. Design: A longitudinal cohort study (11/2020-03/2022) where iHUD and HC underwent baseline and follow-up fMRI scans. Average follow-up duration: 15 weeks. Setting: The iHUD and HC were recruited from treatment facilities and surrounding neighborhoods, respectively. Participants: Twenty-six iHUD [mean=40.6, sd=10.1 years; 7 (29.2%) women] and 24 age-/sex-matched HC [mean=41.1, sd=9.9 years; 9 (37.5%) women]. Intervention: Following the baseline scan, inpatient iHUD continued to participate in a medically-assisted program for an average of 15 weeks [abstinence increased from an initial 183 (sd=236) days by 65 (sd=82) days]. The HC were scanned at similar time intervals. Main Outcomes and Measures: Behavioral performance as measured by the stop-signal response time (SSRT), target detection sensitivity (d-prime, proportion of hits in go vs. false-alarms in stop trials), and brain activity (blood-oxygen level dependent signal differences) during successful vs. failed stops in the stop signal task. Results: As we previously reported, at time 1 and as compared to HC, iHUD exhibited similar SSRT but impaired d-prime [t(38.7)=2.37, p=.023], and lower anterior and dorsolateral PFC (aPFC, dlPFC) activity (p<.001). Importantly, at time 2, there were significant gains in aPFC and dlPFC activity in the iHUD (group*session interaction, p=.002); the former significantly correlated with increases in d-prime specifically in iHUD (p=.012). Conclusions and Relevance: Compared to HC, the aPFC and dlPFC impairments in the iHUD at time 1 were normalized at time 2, which was associated with individual differences in improvements in target detection sensitivity. For the first time in any drug addiction, these results indicate a treatment-mediated inhibitory control brain activity recovery. These neurobehavioral results highlight the aPFC and dlPFC as targets for intervention with a potential to enhance self-control recovery in heroin addiction.

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“…Recruiting numerous cognitive and emotional neurobiological processes, language represents a dense and ubiquitous, yet underutilized, resource for accessing unique markers with potential predictive value for numerous clinical outcomes in human psychopathology. In substance use disorders (SUD), interventions to guide recovery commonly employ language-based strategies (e.g., recounting one's own story, providing concrete guidance to others, in group settings such as Alcoholics Anonymous/Narcotics Anonymous meetings); lab-developed emotional regulation techniques (e.g., with reappraisal of drug cues or savoring of alternative reinforcing cues) similarly rely on the story people tell themselves when processing a salient cue 2,3 . Spoken and written language is also central to clinical evaluations of SUD, which intend to ascertain, using self-report, the amount, frequency, and severity of drug use, encompassing symptoms such as craving and withdrawal, and more general attitudes towards one's well-being and quality of life.…”

Section: Introductionmentioning

confidence: 99%

Speak and you shall predict: speech at initial cocaine abstinence as a biomarker of long-term drug use behavior

Agurto¹,

Cecchi²,

King

et al. 2023

Preprint

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Importance: Valid biomarkers that can predict longitudinal clinical outcomes at low cost are a holy grail in psychiatric research, promising to ultimately be used to optimize and tailor intervention and prevention efforts. Objective: To determine if baseline linguistic markers in natural speech, as compared to non-speech clinical and demographic measures, can predict drug use severity measures at future sessions in initially abstinent individuals with cocaine use disorder (iCUD). Design: A longitudinal cohort study (August 2017 - March 2020), where baseline measures were used to predict outcomes collected at three-month intervals for up to one year of follow-up. Participants: Eighty-eight initially abstinent iCUD were studied at baseline; 57 (46 male, age 50.7+/-7.9 years) came back for at least another session. Main Outcomes and Measures: Outcomes were self-reported symptoms of withdrawal, craving, abstinence duration and frequency of cocaine use in the past 90 days at each study session. The predictors were derived from 5-min recordings of vocal descriptions of the positive consequences of abstinence and the negative consequences of using cocaine; the baseline cocaine and other common drug use measures, demographic and neuropsychological variables were used for comparison. Results: Models using the non-speech variables showed the best predictive performance at three(r>0.45, P<2E-3) and six months follow-up (r>0.37, P<3E-2). At 12 months, the natural language processing-based model showed significant correlations with withdrawal (r=0.43, P=3E-2), craving (r=0.72, P=5E-5), days of abstinence (r=0.76, P=1E-5), and cocaine use in the past 90 days (r=0.61, P=2E-3), significantly outperforming the other models for abstinence prediction. Conclusions and Relevance: At short time intervals, maximal predictive power was obtained with models that used baseline drug use (in addition to demographic and neuropsychological) measures, potentially reflecting a slow rate of change in these measures, which could be estimated by linear functions. In contrast, short speech samples predicted longer-term changes in drug use, implying deeper penetrance by potentially capturing non-linear dynamics over longer intervals. Results suggest that, compared to the common outcome measures used in clinical trials, speech-based measures could be leveraged as better predictors of longitudinal drug use outcomes in initially abstinent iCUD, as potentially generalizable to other substance use disorders and related comorbidity.

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Cortico-striatal engagement during cue-reactivity, reappraisal, and savoring of drug and non-drug stimuli predicts craving in heroin addiction

Cited by 5 publications

References 74 publications

Neuro-Immune Communication at the Core of Craving-Associated Brain Structural Network Reconfiguration in Methamphetamine Users

Neuro-Immune Communication at the Core of Craving-Associated Brain Structural Network Reconfiguration in Methamphetamine Users

Recovery of inhibitory control prefrontal cortex function in inpatients with heroin use disorder: a 15-week longitudinal fMRI study

Speak and you shall predict: speech at initial cocaine abstinence as a biomarker of long-term drug use behavior

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