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How to reference In order to correctly reference this scholarly work, feel free to copy and paste the following: Nina Seiferth and Andreas Heinz (2010) . ...doi:10.5772/9882 fatcat:2zbuqqjw7re6vahwxhmtig4jky
Eine umfassende Darstellung der neurobiologischen Grundlagen von Verhaltenssüchten findet sich bei (Mörsen et al. 2011; Romanczuk-Seiferth und Fauth-Bühler 2014; Kiefer et al. 2013; Quester und Romanczuk-Seiferth ... Romanczuk-Seiferth, C. Mörsen und A. Heinz geben an, dass kein Interessenkonflikt besteht. ...doi:10.1007/s11757-016-0376-1 fatcat:egftsyoynbgmbgzv533sv3t72q
Compliance with Ethics Guidelines Conflict of Interest Within the past 3 years, Nina Romanczuk-Seiferth received research grants from the Senate Department of Berlin and travel grants from the German Academic ...doi:10.1007/s40429-015-0063-x pmid:26273544 pmcid:PMC4529460 fatcat:6aq226h2znearnnswsw2yvtfvi
Copyright © 2021 Ernst, Romanczuk-Seiferth, Köhler, Amelung and Betzler. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). ...doi:10.3389/fpsyg.2021.586235 pmid:33716855 pmcid:PMC7950320 fatcat:rxq3iakgdzbsdkoh2p4jatwjja
Petry, 2012; Platt & Huettel, 2008; Romanczuk-Seiferth, van 10 den Brink, & Goudriaan, 2014; Wiehler & Peters, 2015). 11 Besides impaired decision making, cue reactivity has been a crucial concept in understanding ...doi:10.1101/564781 fatcat:wu422uhtajfm3jz36sby5re6cu
Purpose of Review While the treatment of addictive disorders proves to be challenging, new treatment approaches that evolved around the concepts of mindfulness and acceptance have been utilized and investigated in recent years. Our goal is to summarize the efficacy and possible underlying mechanisms of mindfulness-based interventions (MBI) in addictive disorders. Recent Findings Various meta-analyses have suggested that MBIs show clinical efficacy in the treatment of addictive disorders.doi:10.1007/s40429-021-00372-w fatcat:vumbydnpljbjpexgbb67ztcqw4
more »... ring the factors that impact addictive disorders, MBIs have been indicated to augment responsiveness to natural rewards in contrast to addiction-related cues as well as to increase top-down cognitive control, decrease subjective and physiological stress perception, and enhance positive affect. Summary In summary, MBIs hold promise in treating addictive disorders while larger randomized controlled trials with longitudinal study designs are needed to confirm their utility. Newest clinical endeavors strive to enhance the clinical utility of MBIs by augmentation or personalization.
Ms Seiferth was supported by a fellowship for doctoral students of the German National Academic Foundation. ... stable over the course of disease (Addington and Addington, 1998; Kohler et al, 2003) and were reported to be already present in subjects at risk for psychosis (Habel et al, 2004; Kee et al, 2004; Seiferth ... Facial emotion discrimination in early onset schizophrenia NY Seiferth et al Correlation analysis of parameter estimates in the abovementioned areas with medication (in chlorpromazine equivalents) as well ...doi:10.1038/npp.2008.93 pmid:18580874 fatcat:po74fq2lcjfxzg6ocokvkf5wqi
Pathological gambling (PG) shares clinical characteristics with substance-use disorders and is thus discussed as a behavioral addiction. Recent neuroimaging studies on PG report functional changes in prefrontal structures and the mesolimbic reward system. While an imbalance between these structures has been related to addictive behavior, whether their dysfunction in PG is reflected in the interaction between them remains unclear. We addressed this question using functional connectivitydoi:10.1371/journal.pone.0084565 pmid:24367675 pmcid:PMC3868704 fatcat:g6wtihtkozgx3aygzw4zinlacy
more »... tate fMRI in male subjects with PG and controls. Seed-based functional connectivity was computed using two regions-of-interest, based on the results of a previous voxel-based morphometry study, located in the prefrontal cortex and the mesolimbic reward system (right middle frontal gyrus and right ventral striatum). PG patients demonstrated increased connectivity from the right middle frontal gyrus to the right striatum as compared to controls, which was also positively correlated with nonplanning aspect of impulsiveness, smoking and craving scores in the PG group. Moreover, PG patients demonstrated decreased connectivity from the right middle frontal gyrus to other prefrontal areas as compared to controls. The right ventral striatum demonstrated increased connectivity to the right superior and middle frontal gyrus and left cerebellum in PG patients as compared to controls. The increased connectivity to the cerebellum was positively correlated with smoking in the PG group. Our results provide further evidence for alterations in functional connectivity in PG with increased connectivity between prefrontal regions and the reward system, similar to connectivity changes reported in substance use disorder. Functional Connectivity in Pathological Gambling PLOS ONE | www.plosone.org (blue spectrum) correlations with the right ventral striatum (seed depicted in green) within all subjects and within the groups. Group comparison for significant correlations: PG patients > controls (violet spectrum). Please note that the contrast controls > PG patients was not significant. All maps are thresholded at a z-score > |2.3| (cluster-wise corrected using Gaussian random field theory and Bonferroni corrected for the number of seeds). N controls = 18, N PGpatients = 14.
ABSTRACTBackgroundJust as substance use disorders (SUD), gambling disorder (GD) is characterized by an increase in cue-dependent decision-making (Pavlovian-to-instrumental transfer, PIT). PIT, as studied in SUDs and healthy subjects, is associated with altered communication between Nucleus Accumbens (NAcc), amygdala, and orbitofrontal cortex (OFC). However, these neural differences are poorly understood. For example, it is unclear whether they are due to the physiological effects of substancedoi:10.1101/498725 fatcat:cskjmmndl5dgdaupcogr6cg6uq
more »... use, or rather related to learning processes and/or other etiological factors like innate traits associated with addiction. We have thus investigated whether network activation patterns during a PIT task are also altered in GD, an addictive disorder not involving substance abuse. We have specifically studied which neural PIT patterns were best at distinguishing GD from healthy control (HC) subjects, all to improve our understanding of the neural signatures of GD and of addiction-related PIT in general.Methods30 GD and 30 HC subjects completed an affective decision-making task in a functional magnetic resonance imaging (fMRI) scanner. Gambling associated and other emotional cues were shown in the background during the task, allowing us to record multivariate neural PIT signatures focusing on a network of NAcc, amygdala and OFC. We built and tested a classifier based on these multivariate neural PIT signatures using cross-validated elastic net regression.Results and DiscussionAs expected, GD subjects showed stronger PIT than HC subjects because they showed stronger increase in gamble acceptance when gambling cues were presented in the background. Classification based on neural PIT signatures yielded a significant AUC-ROC (0.70, p = 0.013). When inspecting the features of the classifier, we observed that GD showed stronger PIT-related functional connectivity between nucleus accumbens (NAcc) and amygdala elicited by gambling background cues, as well as between amygdala and orbito-frontal cortex (OFC) elicited by negative and positive cues.ConclusionWe propose that GD and HC subjects are distinguishable by PIT-related neural signatures including amygdala-NAcc-OFC functional connectivity. Our findings suggest that neural PIT alterations in addictive disorders might not depend on the physiological effect of a substance of abuse, but on related learning processes or even innate neural traits, also found in behavioral addictions.
Objective: Although a heritable contribution to risk for major depressive disorder (MDD) has been established and neural alterations in patients have been identified through neuroimaging, it is unclear which brain abnormalities are related to genetic risk. Studies on brain structure of high-risk subjectssuch as individuals carrying a familial liability for the development of MDDcan provide information on the potential usefulness of these measures as intermediate phenotypes of MDD. Methods: 63doi:10.1016/j.nicl.2014.05.015 pmid:25003028 pmcid:PMC4081974 fatcat:mfvjobg6arczpdcqj6zo7uogve
more »... althy first-degree relatives of patients with MDD and 63 healthy controls underwent structural magnetic resonance imaging. Regional gray matter volumes were analyzed via voxel-based morphometry (VBM). Results: Whole-brain analysis revealed significantly larger gray matter volume in the bilateral amygdala in firstdegree relatives of patients with MDD. Furthermore, relatives showed significantly larger gray matter volume in anatomical structures found relevant to MDD in previous literature, specifically in the bilateral hippocampus and amygdala as well as the left dorsolateral prefrontal cortex (DLPFC). Bilateral DLPFC volume correlated positively with the experience of negative affect. Conclusions: Larger gray matter volume in healthy relatives of MDD patients point to a possible vulnerability mechanism in MDD etiology and therefore extend knowledge in the field of high-risk approaches in MDD.
Background: Aberrant brain connectivity during emotional processing, especially within the fronto-limbic pathway, is one of the hallmarks of major depressive disorder (MDD). However, a lack of systematic approaches in previous studies made it difficult to determine whether a specific alteration in brain connectivity reflects a cause, correlate, or effect of the disorder. The current study aimed to investigate neural mechanisms that correspond to disease, risk and resilience in major depressiondoi:10.1101/2021.04.12.21255310 fatcat:aaavurtt75herjtzrsjt7fhgqm
more »... uring implicit processing of emotion cues. Methods: Forty-eight patients with MDD, 49 first-degree relatives of patients with MDD and 103 healthy controls performed a face-matching task during functional magnetic resonance imaging. We used dynamic causal modelling to estimate task-dependent effective connectivity at the subject level. Parametric empirical Bayes was then performed to quantify group differences in effective connectivity. Results: Depressive pathology was associated with decreased effective connectivity from the left amygdala and left dorsolateral prefrontal cortex to the right fusiform gyrus, whereas familial risk for depression corresponded to decreased connectivity from the right orbitofrontal cortex to the left insula and from the left orbitofrontal cortex to the right fusiform gyrus. Resilience for depression was related to increased connectivity from the anterior cingulate cortex to the left dorsolateral prefrontal cortex. Conclusions: Our results suggest that the depressive state alters top-down control of higher visual regions during the processing of emotional faces, whereas increased connectivity within the cognitive control network promotes resilience to depression.
., 2012) , others showed higher activity in the striatum during gain anticipation (Romanczuk-Seiferth et al., 2015) . ... The activity of the prefrontal cortex and the ventral striatum also seems to be diminished after successful loss avoidance compared to healthy control subjects (Romanczuk-Seiferth et al., 2015) . ...doi:10.1111/ejn.13396 pmid:27623191 pmcid:PMC5215459 fatcat:stn4qbcuefdgtkfcnzvts5bvb4
., 2006; Seiferth et al., 2008 Seiferth et al., , 2009 Habel et al., 2010) . ... Copyright © 2015 Clemens, Regenbogen, Koch, Backes, Romanczuk-Seiferth, Pauly, Shah, Schneider, Habel and Kellermann. ...doi:10.3389/fnbeh.2015.00305 pmid:26635557 pmcid:PMC4649056 fatcat:m3n7dbpvujatxkqhuxzapsqvam
Nina Romanczuk-Seiferth was supported by a research grant by the Senatsverwaltung für Gesundheit und Soziales, Berlin, Germany (Grant No. 002-2008/ I B 35). Cristian M. ...doi:10.1101/439034 fatcat:goawikkpzvbopfal244762hrmm
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