scholarly journals Pain Stickiness in Complex Regional Pain Syndrome: A role for the Nucleus Accumbens

2019 ◽  
Author(s):  
Andrew M. Youssef ◽  
Ke Peng ◽  
Pearl Kijoo Kim ◽  
Alyssa Lebel ◽  
Navil F. Sethna ◽  
...  

AbstractSome individuals with chronic pain experience improvement in their pain with treatment, whereas others do not. The neurobiological reason is unclear, but an understanding of brain structure and functional patterns may provide insights into pain’s responsivity to treatment. In this investigation, we used magnetic resonance imaging (MRI) techniques to determine grey matter density alterations on resting functional connectivity (RFC) strengths between pain responders and nonresponders. Brain metrics of pediatric patients at admission to an intensive pain rehabilitative treatment program were evaluated. Pain responders reported significant pain improvement at discharge and/or follow-up whereas nonresponders reported no improvements, increases in pain, or emergence of new pain symptoms. The pain (responder/nonresponder) groups were compared with pain-free healthy controls to examine predictors of pain responder status via brain metrics. Our results show: (1) on admission, pain nonresponders had decreased grey matter density (GMD) within the nucleus accumbens (NAc) and reduced RFC strength between the NAc and the dorsolateral prefrontal cortex vs. responders; (2) Connectivity strength was positively correlated with change in pain intensity from admission to discharge; (3) Compared with pain-free controls, grey matter and RFC differences emerged only among pain nonresponders; and (4) Using a discriminative model, combining GMD and RFC strengths assessed at admission showed the highest prediction estimate (87%) on potential for pain improvement, warranting testing in a de novo sample. Taken together, these results support the idea that treatment responsiveness on pain is underpinned by concurrent brain structure and resting brain activity.

Pain ◽  
2014 ◽  
Vol 155 (3) ◽  
pp. 566-573 ◽  
Author(s):  
Nichole M. Emerson ◽  
Fadel Zeidan ◽  
Oleg V. Lobanov ◽  
Morten S. Hadsel ◽  
Katherine T. Martucci ◽  
...  

2008 ◽  
Vol 103 (1-3) ◽  
pp. 319-321 ◽  
Author(s):  
Emmanuel Stip ◽  
Adham Mancini-Marïe ◽  
Cherine Fahim ◽  
Lahcen Ait Bentaleb ◽  
Genevieve Létourneau ◽  
...  

2017 ◽  
Vol 13 (7) ◽  
pp. P1493
Author(s):  
Kacie Deters ◽  
Shannon L. Risacher ◽  
Kaj Blennow ◽  
Henrik Zetterberg ◽  
Michael Weiner ◽  
...  

Neuroscience ◽  
2009 ◽  
Vol 163 (4) ◽  
pp. 1102-1108 ◽  
Author(s):  
J. Peters ◽  
M. Dauvermann ◽  
C. Mette ◽  
P. Platen ◽  
J. Franke ◽  
...  

2016 ◽  
Vol 12 ◽  
pp. P288-P288
Author(s):  
Gennady V. Roshchupkin ◽  
Hazel I. Zonneveld ◽  
Hieab H.H. Adams ◽  
Meike W. Vernooij ◽  
Wiro J. Niessen ◽  
...  

2011 ◽  
Vol 279 (1732) ◽  
pp. 1327-1334 ◽  
Author(s):  
R. Kanai ◽  
B. Bahrami ◽  
R. Roylance ◽  
G. Rees

The increasing ubiquity of web-based social networking services is a striking feature of modern human society. The degree to which individuals participate in these networks varies substantially for reasons that are unclear. Here, we show a biological basis for such variability by demonstrating that quantitative variation in the number of friends an individual declares on a web-based social networking service reliably predicted grey matter density in the right superior temporal sulcus, left middle temporal gyrus and entorhinal cortex. Such regions have been previously implicated in social perception and associative memory, respectively. We further show that variability in the size of such online friendship networks was significantly correlated with the size of more intimate real-world social groups. However, the brain regions we identified were specifically associated with online social network size, whereas the grey matter density of the amygdala was correlated both with online and real-world social network sizes. Taken together, our findings demonstrate that the size of an individual's online social network is closely linked to focal brain structure implicated in social cognition.


2013 ◽  
Vol 219 (1) ◽  
pp. 353-366 ◽  
Author(s):  
Clara E. James ◽  
Mathias S. Oechslin ◽  
Dimitri Van De Ville ◽  
Claude-Alain Hauert ◽  
Céline Descloux ◽  
...  

1998 ◽  
Vol 172 (6) ◽  
pp. 527-532 ◽  
Author(s):  
Premal J. Shah ◽  
Klaus P. Ebmeier ◽  
Michael F. Glabus ◽  
Guy M. Goodwin

BackgroundThe aetiology of treatment-resistant major depression is little understood; its apparent intractability may reflect brain abnormality.MethodMagnetic resonance images of the brains of 20 subjects with major depression lasting for two years or more were compared with 20 healthy control subjects and 20 other subjects who had completely recovered from depression. Subjects were individually matched for age, gender, years of education and premorbid IQ. Grey matter was segmented from the images, and compared between groups on a voxel-by-voxel basis.ResultsSubjects with chronic depression showed reduced grey matter density in the left temporal cortex including the hippocampus. There was also a trend for reduction in the right hippocampus. Left hippocampal grey matter density was correlated with measures of verbal memory, supporting the functional significance of the observed magnetic resonance imaging changes.ConclusionsOur results potentially challenge the accepted view of depression as a functional and fully reversible illness, implying instead that more permanent brain changes may be associated with chronicity. Confirmatory longitudinal and prospective studies are required to determine whether these differences pre-date the onset of depression or are the result of the chronic illness process or its treatment.


NeuroImage ◽  
2012 ◽  
Vol 60 (1) ◽  
pp. 614-622 ◽  
Author(s):  
Emma J. Rose ◽  
Ciara Greene ◽  
Sinead Kelly ◽  
Derek W. Morris ◽  
Ian H. Robertson ◽  
...  

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