scholarly journals The association of prefrontal cortex response during a natural reward cue-reactivity paradigm, anhedonia, and demoralization in persons maintained on methadone

2021 ◽  
Vol 113 ◽  
pp. 106673
Author(s):  
Andrew S. Huhn ◽  
Robert K. Brooner ◽  
Mary M. Sweeney ◽  
Denis Antoine ◽  
Alexis S. Hammond ◽  
...  
Author(s):  
Lauren D. Hill-Bowen ◽  
Michael C. Riedel ◽  
Ranjita Poudel ◽  
Taylor Salo ◽  
Jessica S. Flannery ◽  
...  

2018 ◽  
Vol 38 (14) ◽  
pp. 3507-3519 ◽  
Author(s):  
Simone Pfarr ◽  
Laura Schaaf ◽  
Janine K. Reinert ◽  
Elisabeth Paul ◽  
Frank Herrmannsdörfer ◽  
...  

Author(s):  
Tonisha E. Kearney-Ramos ◽  
Logan T. Dowdle ◽  
Daniel H. Lench ◽  
Oliver J. Mithoefer ◽  
William H. Devries ◽  
...  

2019 ◽  
Author(s):  
Constantin Winker ◽  
Maimu A. Rehbein ◽  
Dean Sabatinelli ◽  
Markus Junghofer

AbstractThe ventromedial prefrontal cortex (vmPFC) is a major hub of the reward system and has been shown to activate specifically in response to pleasant / rewarding stimuli. Previous studies demonstrate enhanced pleasant cue reactivity after single applications of transcranial direct current stimulation (tDCS) to the vmPFC. Here we present a pilot case study in which we assess the cumulative impact of multiple consecutive vmPFC-tDCS sessions on the processing of visual emotional stimuli in an event-related MEG recording design. The results point to stable modulation of increased positivity biases (pleasant > unpleasant stimulus signal strength) after excitatory vmPFC stimulation and a reversed pattern (pleasant < unpleasant) after inhibitory stimulation across five consecutive tDCS sessions. Moreover, cumulative effects of these emotional bias modulations were observable for several source-localized spatio-temporal clusters, suggesting an increase in modulatory efficiency by repeated tDCS sessions. This pilot study provides evidence for improvements in the effectiveness and utility of a novel tDCS paradigm in the context of emotional processing.


2020 ◽  
Author(s):  
Lauren D. Hill-Bowen ◽  
Michael C. Riedel ◽  
Ranjita Poudel ◽  
Taylor Salo ◽  
Jessica S. Flannery ◽  
...  

ABSTRACTBackgroundThe cue-reactivity paradigm is a widely adopted neuroimaging probe assessing brain activity linked to attention, memory, emotion, and reward processing associated with the presentation of appetitive stimuli. Lacking, is the apperception of more precise brain regions, neurocircuits, and mental operations comprising cue-reactivity’s multi-elemental nature. To resolve such complexities, we employed emergent meta-analytic techniques to enhance insight into drug and natural cue-reactivity in the brain.MethodsOperating from this perspective, we first conducted multiple coordinate-based meta-analyses to define common and distinct brain regions showing convergent activation across studies involving drug-related and natural-reward cue-reactivity paradigms. In addition, we examined the activation profiles of each convergent brain region linked to cue-reactivity as seeds in task-dependent and task-independent functional connectivity analyses. Using methods to cluster regions of interest, we categorized cue-reactivity into cliques, or sub-networks, based on the functional similarities between regions. Cliques were further classified with psychological constructs.ResultsWe identified a total of 164 peer-reviewed articles: 108 drug-related, and 56 natural-reward. When considering cue-reactivity collectively, across both drug and natural studies, activity convergence was observed in the dorsal striatum, limbic, insula, parietal, occipital, and temporal regions. Common convergent neural activity between drug and natural cue-reactivity was observed in the caudate, amygdala, thalamus, cingulate, and temporal regions. Drug distinct convergence was observed in the putamen, cingulate, and temporal regions, while natural distinct convergence was observed in the caudate, parietal, occipital, and frontal regions. We seeded identified cue-reactivity regions in meta-analytic connectivity modeling and resting-state functional connectivity analyses. Consensus hierarchical clustering of both connectivity analyses identified six distinct cliques that were further functionally characterized using the BrainMap and Neurosynth databases.ConclusionsWe examined the multifaceted nature of cue-reactivity and decomposed this construct into six elements of visual, executive function, sensorimotor, salience, emotion, and self-referential processing. Further, we demonstrated that these elements are supported by perceptual, sensorimotor, tripartite, and affective networks, which are essential to understanding the neural mechanisms involved in the development and or maintenance of addictive disorders.


2014 ◽  
Vol 20 (4) ◽  
pp. 832-844 ◽  
Author(s):  
Nils B. Kroemer ◽  
Franziska Wuttig ◽  
Martin Bidlingmaier ◽  
Ulrich S. Zimmermann ◽  
Michael N. Smolka

2016 ◽  
Vol 123 (10) ◽  
pp. 1173-1178 ◽  
Author(s):  
Katharina Wietschorke ◽  
Julian Lippold ◽  
Christian Jacob ◽  
Thomas Polak ◽  
Martin J. Herrmann

Author(s):  
Pushpinder Walia ◽  
Abhishek Ghosh ◽  
Shubhmohan Singh ◽  
Anirban Dutta

Background: Maladaptive neuroplasticity related learned response in substance use disorder (SUD) can be ameliorated using non-invasive brain stimulation (NIBS); however, inter-individual variability needs to be addressed for clinical translation. Objective: Our first objective was to develop a hypothesis for NIBS for learned response in SUD based on competing neurobehavioral decision systems model. Next objective was to conduct computational simulation of NIBS of cortico-cerebello-thalamo-cortical (CCTC) loop in cannabis use disorder (CUD) related dysfunctional &ldquo;cue-reactivity&rdquo; &ndash; a closely related construct of &ldquo;craving&rdquo; that is a core symptom. Our third objective was to test the feasibility of our neuroimaging guided rational NIBS approach in healthy humans. Methods: &ldquo;Cue-reactivity&rdquo; can be measured using behavioral paradigms and portable neuroimaging, including functional near-infrared spectroscopy (fNIRS) and electroencephalogram (EEG), metrics of sensorimotor gating. Therefore, we conducted computational simulation of NIBS, including transcranial direct current stimulation(tDCS) and transcranial alternating current stimulation(tACS) of the cerebellar cortex and deep cerebellar nuclei(DCN), of the CCTC loop for its postulated effects on fNIRS and EEG metrics. We also developed a rational neuroimaging guided NIBS approach for cerebellar lobule (VII) and prefrontal cortex based on healthy human study. Results: Simulation study of cerebellar tDCS induced gamma oscillations in the cerebral cortex while tTIS induced gamma-to-beta frequency shift. Experimental fNIRS study found that 2mA cerebellar tDCS evoked similar oxyhemoglobin(HbO) response in-the-range of 5x10-6M across cerebellum and PFC brain regions (=0.01); however, infra-slow (0.01&ndash;0.10 Hz) prefrontal cortex HbO driven(phase-amplitude-coupling, PAC) 4Hz, &plusmn;2mA (max.) cerebellar tACS evoked HbO in-the-range of 10-7M that was statistically different (=0.01) across those brain regions. Conclusion: Our healthy human study showed the feasibility of fNIRS of cerebellum and PFC as well as fNIRS-driven ctACS at 4Hz that may facilitate cerebellar cognitive function via the frontoparietal network. Future work needs to combine fNIRS with EEG for multi-modal imaging.


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