Cocaine addiction related reproducible brain regions of abnormal default-mode network functional connectivity: A group ICA study with different model orders

Ding, Xiaoyu; Lee, Seong Whan

doi:10.1016/j.neulet.2013.05.029

Cited by 36 publications

(25 citation statements)

References 25 publications

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“…These regions known to be involved in emotional modulation and self-referential activities, including evaluating salience of internal and external cues, remembering the past, and planning the future [60], [62], which are the important criteria in diagnosis IAD. It has previously been suggested that altered connectivity involving the DMN regions contributes to various symptomatic behaviors in diseases [100], including substance addictions [101], [102] and behavioral addictions [24], [103]. Our findings of altered of functional connectivity involving several regions of DMN is partially consistent with the previous observations, which suggests the DMN has the potential to serve as a biomarker for identifying IAD patients.…”

Section: Discussionsupporting

confidence: 91%

Disrupted Brain Functional Network in Internet Addiction Disorder: A Resting-State Functional Magnetic Resonance Imaging Study

et al. 2014

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Internet addiction disorder (IAD) is increasingly recognized as a mental health disorder, particularly among adolescents. The pathogenesis associated with IAD, however, remains unclear. In this study, we aim to explore the encephalic functional characteristics of IAD adolescents at rest using functional magnetic resonance imaging data. We adopted a graph-theoretic approach to investigate possible disruptions of functional connectivity in terms of network properties including small-worldness, efficiency, and nodal centrality on 17 adolescents with IAD and 16 socio-demographically matched healthy controls. False discovery rate-corrected parametric tests were performed to evaluate the statistical significance of group-level network topological differences. In addition, a correlation analysis was performed to assess the relationships between functional connectivity and clinical measures in the IAD group. Our results demonstrate that there is significant disruption in the functional connectome of IAD patients, particularly between regions located in the frontal, occipital, and parietal lobes. The affected connections are long-range and inter-hemispheric connections. Although significant alterations are observed for regional nodal metrics, there is no difference in global network topology between IAD and healthy groups. In addition, correlation analysis demonstrates that the observed regional abnormalities are correlated with the IAD severity and behavioral clinical assessments. Our findings, which are relatively consistent between anatomically and functionally defined atlases, suggest that IAD causes disruptions of functional connectivity and, importantly, that such disruptions might link to behavioral impairments.

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Section: Discussionsupporting

confidence: 91%

Disrupted Brain Functional Network in Internet Addiction Disorder: A Resting-State Functional Magnetic Resonance Imaging Study

et al. 2014

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“…These finding are consistent with previous studies among other drug using populations, including heroin (Ma et al, 2011), cocaine (Ding and Lee, 2013), and alcohol (Muller-Oehring et al, 2014), and provide additional support for a general addiction-related disruption of DMN connectivity. As previously mentioned, the DMN is involved in self-referential processes and how these internal processes relate to the external environment (Sutherland et al, 2012); thus, abnormalities within the DMN and its interactions with other brain networks may underlie the cognitive and behavioral impairments observed among substance users.…”

Section: Discussionsupporting

confidence: 91%

Cannabis, cigarettes, and their co-occurring use: Disentangling differences in default mode network functional connectivity

Wetherill

Fang

Jagannathan

et al. 2015

Drug and Alcohol Dependence

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Background Resting-state functional connectivity is a noninvasive, neuroimaging method for assessing neural network function. Altered functional connectivity among regions of the default-mode network have been associated with both nicotine and cannabis use; however, less is known about co-occurring cannabis and tobacco use. Methods We used posterior cingulate cortex (PCC) seed-based resting-state functional connectivity analyses to examine default mode network (DMN) connectivity strength differences between four groups: 1) individuals diagnosed with cannabis dependence who do not smoke tobacco (n=19; ages 20–50), 2) cannabis-dependent individuals who smoke tobacco (n=23, ages 21–52), 3) cannabis-naïve, nicotine-dependent individuals who smoke tobacco (n=24, ages 21–57), and 4) cannabis- and tobacco-naïve healthy controls (n=21, ages 21–50), controlling for age, sex, and alcohol use. We also explored associations between connectivity strength and measures of cannabis and tobacco use. Results PCC seed-based analyses identified the core nodes of the DMN (i.e., PCC, medial prefrontal cortex, inferior parietal cortex, and temporal cortex). In general, the cannabis-dependent, nicotine-dependent, and co-occurring use groups showed lower DMN connectivity strengths than controls, with unique group differences in connectivity strength between the PCC and the cerebellum, medial prefrontal cortex, parahippocampus, and anterior insula. In cannabis-dependent individuals, PCC-right anterior insula connectivity strength correlated with duration of cannabis use. Conclusions This study extends previous research that independently examined the differences in resting-state functional connectivity among individuals who smoke cannabis and tobacco by including an examination of co-occurring cannabis and tobacco use and provides further evidence that cannabis and tobacco exposure is associated with alterations in DMN connectivity.

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“…A recent resting-state functional connectivity study of patients with cocaine addiction identified the hippocampus as a key region in the neurobiology of CUD [34]. The hippocampus is connected with the dorsal PFC [35], and the strength of the connectivity between the two structures appears to be affected in cocaine abuse [34,35], so it is possible that deep TMS might stimulate this profound connection, resulting in symptom amelioration.…”

Section: Discussionmentioning

confidence: 99%

“…The hippocampus is connected with the dorsal PFC [35], and the strength of the connectivity between the two structures appears to be affected in cocaine abuse [34,35], so it is possible that deep TMS might stimulate this profound connection, resulting in symptom amelioration. Furthermore, it is possible that dTMS stimulated other deep brain tracts, like those leading from various PFC regions, including the DLPFC, which exert a negative control over the striatum and which are deficient in various substance use disorders, including alcohol, cannabinoid, and cocaine [26].…”

Section: Discussionmentioning

confidence: 99%

Add-on high frequency deep transcranial magnetic stimulation (dTMS) to bilateral prefrontal cortex reduces cocaine craving in patients with cocaine use disorder

Rapinesi

Casale

Pietro

et al. 2016

Neuroscience Letters

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Cocaine addiction related reproducible brain regions of abnormal default-mode network functional connectivity: A group ICA study with different model orders

Cited by 36 publications

References 25 publications

Disrupted Brain Functional Network in Internet Addiction Disorder: A Resting-State Functional Magnetic Resonance Imaging Study

Disrupted Brain Functional Network in Internet Addiction Disorder: A Resting-State Functional Magnetic Resonance Imaging Study

Cannabis, cigarettes, and their co-occurring use: Disentangling differences in default mode network functional connectivity

Add-on high frequency deep transcranial magnetic stimulation (dTMS) to bilateral prefrontal cortex reduces cocaine craving in patients with cocaine use disorder

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