Magnetic resonance imaging of severe, long-term, opiate-abuse patients without neurologic symptoms may show enlarged cerebrospinal spaces but no signs of brain pathology of vascular origin

Immunohistochemical Assessment of Inflammation and Regeneration in Morphine-Dependent Rat Brain

Background

Opioids are amongst the most common abused drugs. Pathologic studies on opioid abuse are limited since the evaluation of inflammation and regeneration in brain tissue is not as simple as other tissues of the body. Thus, the present study aimed to determine the relationship between the dependence on morphine and inflammatory and regenerative processes.

Methods

In this experimental study, 48 male wistar rats were divided into 6 groups. The dependent groups (3 groups) received 0.4 mg/ml morphine in drinking water for 7, 28, and 56 days. The control groups (3 groups) received sucrose solution in drinking water for the same period. The histopathological studies of the brain sample were done. The slides were stained by hematoxylin and eosin (H&E) and immunohistochemistry (IHC) staining method. The areas of brain were evaluated in terms of lymphocytic infiltration and glial scar.

Findings

A significant difference was observed in the mean number of cells in the glial scar of the dependent group 3 (dependent for 56 days) among the control group (P = 0.040). Further, a significant relationship was reported between the increased duration of morphine use and the number of created scar glial cells. Furthermore, a significant increase in the number of astrocytes was observed in the affected areas.

Conclusion

After long-term use, opioids can result in increased number of astrocytes and creating glial scar centers in the affected areas in response to the inflammation.

Prescription opioid analgesics rapidly change the human brain

Chronic opioid exposure is known to produce neuroplastic changes in animals; however, it is not known if opioids used over short periods of time and at analgesic dosages can similarly change brain structure in humans. In this longitudinal, magnetic resonance imaging study, 10 individuals with chronic low back pain were administered oral morphine daily for 1 month. High-resolution anatomical images of the brain were acquired immediately before and after the morphine administration period. Regional changes in gray matter volume were assessed on the whole brain using tensor-based morphometry, and those significant regional changes were then independently tested for correlation with morphine dosage. Thirteen regions evidenced significant volumetric change, and degree of change in several of the regions was correlated with morphine dosage. Dosage-correlated volumetric decrease was observed primarily in the right amygdala. Dosage-correlated volumetric increase was seen in the right hypothalamus, left inferior frontal gyrus, right ventral posterior cingulate, and right caudal pons. Follow-up scans that were conducted an average of 4.7 months after cessation of opioids demonstrated many of the morphine-induced changes to be persistent. In a separate study, 9 individuals consuming blinded placebo capsules for 6 weeks evidenced no significant morphologic changes over time. The results add to a growing body of literature showing that opioid exposure causes structural and functional changes in reward- and affect-processing circuitry. Morphologic changes occur rapidly in humans during new exposure to prescription opioid analgesics. Further research is needed to determine the clinical impact of those opioid-induced gray matter changes.

Gyrification brain abnormalities associated with adolescence and early-adulthood cannabis use

Although cannabis is the most widely used illicit drug in the world, the long-term effect of its use in the brain remains controversial. In order to determine whether adolescence and early-adulthood cannabis use is associated with gross volumetric and gyrification abnormalities in the brain, we set up a cross-sectional study using structural magnetic resonance imaging in a sample of general population subjects. Thirty cannabis-using subjects (mean age, 25.7 years; mean duration of regular use, 8.4 years, range: 3-21) with no history of polydrug use or neurologic/mental disorder and 44 non-using control subjects (mean age, 25.8 years) were included. Cannabis users showed bilaterally decreased concavity of the sulci and thinner sulci in the right frontal lobe. Among non-users, age was significantly correlated with decreased gyrification (i.e., less concave sulci and more convexe gyri) and decreased cortical thickness, supporting the notion of age-related gyrification changes. However, among cannabis users gyrification indices did not show significant dependency on age, age of regular cannabis use initiation, or cumulative exposure to cannabis. These results suggest that cannabis use in adolescence and early-adulthood might involve a premature alteration in cortical gyrification similar to what is normally observed at a later age, probably through disruption of normal neurodevelopment.

Neurocognitive and neuroimaging evidence of behavioural dysregulation in human drug addiction: implications for diagnosis, treatment and prevention

Neuropsychological and neuroimaging studies have generated a wealth of data demonstrating structural and functional brain changes, as well as cognitive deficits in drug addicted populations. Despite this, it is often difficult to make generalisations or conclusive statements about the neuropsychological and neurobiological correlates of chronic drug use given variations in the nature or extent of deficits observed within or across different classes of drugs. In this review, we focus specifically on the evidence for impairments in prefrontally-mediated cognitive functions that underlie behavioural regulation, namely decision making and inhibitory control. We argue that impairments in these specific domains, which are often compounded by an earlier initiation of drug use, polydrug abuse, comorbid psychiatric conditions, previous head injury, and acute withdrawal effects can serve to increase the risk for making decisions that are impulsive, focussed on short-terms gains and lack inhibitory control. We further argue that these impairments of prefrontal functioning may underpin the compulsive and 'loss-of-control' pattern of drug-seeking and drug-taking that is characteristic of drug addiction. Finally, we consider the implications of these findings for diagnosis, treatment and prevention, suggesting that a comprehensive understanding of the nature and extent of these cognitive deficits should form a core part of the conceptualization and focus of effective treatment.

Reduced thalamic grey matter volume in opioid dependence is influenced by degree of alcohol use: a voxel-based morphometry study

The aim of this study was to make a comparison of brain structure between a group of opioid-dependent subjects and healthy controls. We report the results of an ;optimized' voxel-based morphometry study on a sample of nine opioid-dependent subjects with no comorbid substance misuse disorders versus 21 healthy controls. We found a significant reduction in grey matter volume of the thalamus after controlling for age and total grey matter volume. Regression analysis of substance use variables in the opioid-dependent sample shows that only level of alcohol use negatively predicts grey matter volume for this region of difference. We suggest that level of nondependent alcohol use could influence reduced thalamic grey matter volume in opioid-dependent subjects.

Understanding drug addiction: a neuropsychological perspective

The purpose of the present review is to describe the neuropsychological correlates of long-term substance abuse and to discuss the findings within the context of premorbid vulnerabilities, comorbidity and adolescent neurodevelopment. The authors critically review key findings from the neuropsychological literature related to the long-term sequelae of alcohol, cannabis, inhalant, opiates, psychostimulants and ecstasy use. Leading electronic databases such as PubMed were searched to identify relevant studies published in the past 20 years. References identified from bibliographies of pertinent articles and books in the field were also collected and selectively reviewed. Across substances, individuals with long-term abuse consistently demonstrate neuropsychological impairments of executive (inhibitory) control, working memory and decision making, together with neurobiological abnormalities involving frontotemporal and basal ganglia circuits. In some instances these deficits are dose dependent, implying that they are a direct consequence of prolonged drug exposure. However, comorbid behavioural, personality and mental health problems are common among drug-using populations and are associated with similar neuropsychological deficits. Presented herein is a neuropsychological model of addictive behaviour that highlights the complex interplay between cognition, brain maturation, psychopathology and drug exposure.

Impaired pre-attentive auditory processing in opioid dependence with and without benzodiazepine co-dependence revealed by combined magnetoencephalography and electroencephalography

Cognitive dysfunctions may be a significant factor in drug-seeking behavior, reducing the efficiency of rehabilitation in opioid dependence. Neurophysiological basis of these dysfunctions is poorly understood. 21 opioid-dependent patients and 15 healthy controls with no experience of illicit drugs were studied with simultaneous electroencephalography (EEG) and magnetoencephalography (MEG). Among opioid dependents 15 were benzodiazepine co-dependent. In a passive oddball paradigm, a train of 700-Hz standard tones (80%), presented to the left ear, was occasionally interrupted by infrequent deviants, which were either 600-Hz or 400-Hz pure tones or complex novel sounds. The auditory evoked potentials (AEP) and fields (AEF) were analyzed. The strength of the N1m dipoles was enhanced in patients with benzodiazepine co-dependence, but the latency of the response or the source location was not changed. A delay of mismatch negativity (MMN) response of novel tones in EEG, and delay of P3am response on the contralateral hemisphere to stimulated ear in MEG in opioid-dependent patients were observed. There were no differences in source locations or strengths of the dipoles for P1m, MMNm, and P3am determined using equivalent current dipoles. There were no group differences in EEG amplitude measures. In conclusion, our results suggest delayed pre-attentive auditory processing of novel information in opioid dependence. Benzodiazepine co-dependence modulated N1m response.

Reorganization of the composition of brain oscillations and their temporal characteristics in opioid dependent patients

In the present study, we examined the composition of electroencephalographic (EEG) brain oscillations in broad frequency band (0.5-30 Hz) in 22 opioid-dependent patients and 14 healthy subjects during resting condition (closed eyes). The exact compositions of brain oscillations and their temporal behavior were assessed by the probability-classification analysis of short-term EEG spectral patterns. It was demonstrated that EEG of patients with opioid dependence was characterized by (a) significant reorganization of brain oscillations with increase in the percentage of beta- and mostly fast-alpha-rhythmic segments, (b) longer periods of temporal stabilization for alpha and beta brain oscillations and by shorter periods of temporal stabilization for theta and polyrhythmic activity when compared with control subjects, and (c) right-sided dominance (significantly larger relative presence of particular spectral patterns in EEG channels of the right hemisphere). These effects were widely distributed across the cortex with the maximum magnitude in the occipital, right parietal, temporal, and frontal areas. Taken together the present study suggested (a) an allostatic state with neuronal activation, and (b) high sensitivity of the right hemisphere to adverse opioid effects.

Cognitive function during early abstinence from opioid dependence: a comparison to age, gender, and verbal intelligence matched controls

BACKGROUND

Individuals with opioid dependence have cognitive deficits during abuse period in attention, working memory, episodic memory, and executive function. After protracted abstinence consistent cognitive deficit has been found only in executive function. However, few studies have explored cognitive function during first weeks of abstinence. The purpose of this study was to study cognitive function of individuals with opioid dependence during early abstinence. It was hypothesized that cognitive deficits are pronounced immediately after peak withdrawal symptoms have passed and then partially recover.

METHODS

Fifteen patients with opioid dependence and fifteen controls matched for, age, gender, and verbal intelligence were tested with a cognitive test battery When patients performed worse than controls correlations between cognitive performance and days of withdrawal, duration of opioid abuse, duration of any substance abuse, or opioid withdrawal symptom inventory score (Short Opiate Withdrawal Scale) were analyzed.

RESULTS

Early abstinent opioid dependent patients performed statistically significantly worse than controls in tests measuring complex working memory, executive function, and fluid intelligence. Their complex working memory and fluid intelligence performances correlated statistically significantly with days of withdrawal.

CONCLUSION

The results indicate a rather general neurocognitive deficit in higher order cognition. It is suggested that cognitive deficit during early abstinence from opioid dependence is related to withdrawal induced neural dysregulation in the prefrontal cortex and is partly transient.