Self-regulation of the dopaminergic reward system via real time fMRI neurofeedback: a novel treatment approach for cocaine addiction

Suchttherapie ◽  
2015 ◽  
Vol 16 (S 01) ◽  
Author(s):  
M Kirschner ◽  
P Stämpfli ◽  
M Hodel ◽  
S Hösli ◽  
E Engeli ◽  
...  
2017 ◽  
Vol 81 (10) ◽  
pp. S257
Author(s):  
Matthias Kirschner ◽  
Ronald Sladky ◽  
Philipp Stämpfli ◽  
Elisabeth Jehli ◽  
Martina Hodel ◽  
...  

2017 ◽  
Vol 41 (S1) ◽  
pp. S58-S58
Author(s):  
M. Kirschner

IntroductionAlterations in the mesolimbic dopamine system play a crucial role in the pathophysiology of schizophrenia. However, little is known about potential disturbance in endogenous regulation of neural activity due to cognitive control. Recent research on real-time fMRI (rtfMRI) revealed a novel method to stimulate the substantia nigra and ventral tegmental area (SN/VTA), using positive mental imagery. Importantly, this self-regulation ability could be improved with rtfMRI neurofeedback. For the first time, we applied this innovative method in patients with schizophrenia (SZ) to investigate potential alterations in endogenous regulation of the reward system.Methods14 (SZ) and 14 healthy controls (HC) were included in this ongoing study. Participants performed a rtfMRI task with abstract visual feedback of neural activity in the SN/VTA. In the active condition, we instructed participants to voluntary up-regulate SN/VTA activity by recalling rewarding scenes. Neurofeedback learning was correlated with the self-reported negative symptoms.ResultsIn contrast to HC, SZ were not able to actively self-regulate SN/VTA activity. Furthermore, they failed to improve self-regulation with rtFMRI neurofeedback. Importantly, impaired neurofeedback learning was associated with negative symptoms, in particular diminished expression.DiscussionOur preliminary results show that self-regulation of SN/VTA activity is impaired in SZ. Although neurofeedback training improves self-regulation using positive mental imagery in HC, this method might not be suitable as a potential treatment strategy in SZ. The present findings provide new insights to the to the association between negative symptoms and dopaminergic dysfunction and highlight the strengths and limitation for the use of rtfMRI neurofeedback in schizophrenia.Disclosure of interestThe author has not supplied his declaration of competing interest.


2017 ◽  
Vol 81 (10) ◽  
pp. S112
Author(s):  
Matthias Kirschner ◽  
Elisabeth Jehli ◽  
Philipp Stämpfli ◽  
Roman Kubli ◽  
Etna Engeli ◽  
...  

NeuroImage ◽  
2014 ◽  
Vol 88 ◽  
pp. 113-124 ◽  
Author(s):  
Emma J. Lawrence ◽  
Li Su ◽  
Gareth J. Barker ◽  
Nick Medford ◽  
Jeffrey Dalton ◽  
...  

2017 ◽  
Vol 18 (1) ◽  
pp. 25-33 ◽  
Author(s):  
Jamal Raiyn

Abstract This paper introduces a new scheme for road traffic management in smart cities, aimed at reducing road traffic congestion. The scheme is based on a combination of searching, updating, and allocation techniques (SUA). An SUA approach is proposed to reduce the processing time for forecasting the conditions of all road sections in real-time, which is typically considerable and complex. It searches for the shortest route based on historical observations, then computes travel time forecasts based on vehicular location in real-time. Using updated information, which includes travel time forecasts and accident forecasts, the vehicle is allocated the appropriate section. The novelty of the SUA scheme lies in its updating of vehicles in every time to reduce traffic congestion. Furthermore, the SUA approach supports autonomy and management by self-regulation, which recommends its use in smart cities that support internet of things (IoT) technologies.


2021 ◽  
Author(s):  
Sambad Sharma ◽  
Gregory Goreczny ◽  
Satish Kumar Noonepalle ◽  
Erica Palmer ◽  
Maria Garcia-Hernandez ◽  
...  

Author(s):  
Haineng Xu ◽  
Yasuto Kinose ◽  
Hyoung Kim ◽  
Sergey Medvedev ◽  
Erin George ◽  
...  

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