Subcortical Local Functional Hyperconnectivity in Cannabis Dependence

Manza, Peter; Tomasi, Dardo; Volkow, Nora D.

doi:10.1016/j.bpsc.2017.11.004

Cited by 40 publications

(46 citation statements)

References 73 publications

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“…Cannabis-dependent humans show a hyperconnectivity between the VTA and NAc, particularly in those who begin using in adolescence (30). In addition, human carriers of the FAAH SNP are more likely to be problem drug users (9), although previous studies have not specifically assessed cannabis dependence.…”

Section: Adolescent Female Faah C/a Mice Demonstrate Vulnerability Tomentioning

confidence: 99%

Endocannabinoid genetic variation enhances vulnerability to THC reward in adolescent female mice

et al. 2020

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Adolescence represents a developmental period with the highest risk for initiating cannabis use. Little is known about whether genetic variation in the endocannabinoid system alters mesolimbic reward circuitry to produce vulnerability to the rewarding properties of the exogenous cannabinoid Δ9-tetrahydrocannabinol (THC). Using a genetic knock-in mouse model (FAAHC/A) that biologically recapitulates the human polymorphism associated with problematic drug use, we find that in adolescent female mice, but not male mice, this FAAH polymorphism enhances the mesolimbic dopamine circuitry projecting from the ventral tegmental area (VTA) to the nucleus accumbens (NAc) and alters cannabinoid receptor 1 (CB1R) levels at inhibitory and excitatory terminals in the VTA. These developmental changes collectively increase vulnerability of adolescent female FAAHC/A mice to THC preference that persists into adulthood. Together, these findings suggest that this endocannabinoid genetic variant is a contributing factor for increased susceptibility to cannabis dependence in adolescent females.

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Section: Adolescent Female Faah C/a Mice Demonstrate Vulnerability Tomentioning

confidence: 99%

Endocannabinoid genetic variation enhances vulnerability to THC reward in adolescent female mice

et al. 2020

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“…Subcortical structures as well as cerebellum were considered as 19 individual nodes in the analysis. We cannot deny the crucial role these vital structures have in substance use and personality disorders (Manza, Tomasi, & Volkow, ). We would therefore advise future studies to use integrated parcellations that detail the cortex, cerebellum, and the subcortical structures.…”

Section: Discussionmentioning

confidence: 99%

Maximizing dissimilarity in resting state detects heterogeneous subtypes in healthy population associated with high substance use and problems in antisocial personality

Kashyap

Bhattacharjee

Yeo

et al. 2019

Human Brain Mapping

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Patterns in resting‐state fMRI (rs‐fMRI) are widely used to characterize the trait effects of brain function. In this aspect, multiple rs‐fMRI scans from single subjects can provide interesting clues about the rs‐fMRI patterns, though scan‐to‐scan variability pose challenges. Therefore, rs‐fMRI's are either concatenated or the functional connectivity is averaged. This leads to loss of information. Here, we use an alternative way to extract the rs‐fMRI features that are common across all the scans by applying common‐and‐orthogonal‐basis‐extraction (COBE) technique. To address this, we employed rs‐fMRI of 788 subjects from the human connectome project and estimated the common‐COBE‐component of each subject from the four rs‐fMRI runs. Since the common‐COBE‐component is specific to a subject, the pattern was used to classify the subjects based on the similarity/dissimilarity of the features. The subset of subjects (n = 107) with maximal‐COBE‐dissimilarity (MCD) was extracted and the remaining subjects (n = 681) formed the COBE‐similarity (CS) group. The distribution of weights of the common‐COBE‐component for the two groups across rs‐fMRI networks and subcortical regions was evaluated. We found the weights in the default mode network to be lower in the MCD compared to the CS. We compared the scores of 69 behavioral measures and found six behaviors related to the use of marijuana, illicit drugs, alcohol, and tobacco; and including a measure of antisocial personality to differentiate the two groups. Gender differences were also significant. Altogether the findings suggested that subtypes exist even in healthy control population, and comparison studies (case vs. control) need to be mindful of it.

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“…Subcortical structures as well as cerebellum were considered as 19 individual nodes in the analysis. We cannot deny the crucial role these vital structures have in substance use and personality disorders (Manza, Tomasi, & Volkow, 2018). We would therefore advise future studies to use integrated parcellations that detail the cortex, cerebellum and the subcortical structures.…”

Section: Discussionmentioning

confidence: 99%

Maximizing Dissimilarity in Resting State detects Heterogeneous Subtypes in Healthy population associated with High Substance-Use and Problems in Antisocial Personality

Kashyap

Bhattacharjee

Yeo

et al. 2019

Preprint

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Patterns in resting-state fMRI (rs-fMRI) are widely used to characterize the trait effects of brain function. In this aspect, multiple rs-fMRI scans from single subjects can provide interesting clues about the rs-fMRI patterns, though scan-to-scan variability pose challenges. Therefore, rs-fMRI's are either concatenated or the functional connectivity is averaged. This leads to loss of information. Here, we use an alternative way to extract the rs-fMRI features that are common across all the scans by applying Common-and-Orthogonal-Basis-Extraction (COBE) technique. To address this, we employed rs-fMRI of 788 subjects from the human connectome project and estimated the common-COBE-component of each subject from the four rs-fMRI runs. Since the common-COBE-component are specific to a subject, the pattern was used to classify the subjects based on the similarity/dissimilarity of the features. The subset of subjects (n=107) with maximal-COBE-Dissimilarity (MCD) was extracted and the remaining subjects (n = 681) formed the COBE-similarity (CS) group. The distribution of weights of the common-COBE-component for the two groups across rs-fMRI networks and subcortical regions was evaluated. We found the weights in the default mode network to be lower in the MCD compared to the CS. We compared the scores of 69 behavioral measures and found 6 behaviors related to the use of marijuana, illicit drugs, alcohol, and tobacco; and including a measure of antisocial personality to differentiate the two groups. Gender differences were also significant. Altogether findings suggested that subtypes exist even in healthy control population and comparison studies (Case vs Control) need to be mindful of it.

show abstract

Subcortical Local Functional Hyperconnectivity in Cannabis Dependence

Cited by 40 publications

References 73 publications

Endocannabinoid genetic variation enhances vulnerability to THC reward in adolescent female mice

Endocannabinoid genetic variation enhances vulnerability to THC reward in adolescent female mice

Maximizing dissimilarity in resting state detects heterogeneous subtypes in healthy population associated with high substance use and problems in antisocial personality

Maximizing Dissimilarity in Resting State detects Heterogeneous Subtypes in Healthy population associated with High Substance-Use and Problems in Antisocial Personality

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