Grey matter density and GABAA binding potential show a positive linear relationship across cortical regions

Neuroscience ◽  
2013 ◽  
Vol 235 ◽  
pp. 226-231 ◽  
Author(s):  
N.W. Duncan ◽  
P. Gravel ◽  
C. Wiebking ◽  
A.J. Reader ◽  
G. Northoff
Author(s):  
Sandra Manninen ◽  
Tomi Karjalainen ◽  
Lauri J. Tuominen ◽  
Jarmo Hietala ◽  
Valtteri Kaasinen ◽  
...  

AbstractPositron emission tomography (PET) can be used for in vivo measurement of specific neuroreceptors and transporters using radioligands, while voxel-based morphometric analysis of magnetic resonance images allows automated estimation of local grey matter densities. However, it is not known how regional neuroreceptor or transporter densities are reflected in grey matter densities. Here, we analyzed brain scans retrospectively from 325 subjects and compared grey matter density estimates with three different neuroreceptors and transporter availabilities. µ-opioid receptors (MORs) were measured with [11C]carfentanil (162 scans), dopamine D2 receptors with [11C]raclopride (91 scans) and serotonin transporters (SERT) with [11C]MADAM (72 scans). The PET data were modelled with simplified reference tissue model. Voxel-wise correlations between binding potential and grey matter density images were computed. Regional binding of all the used radiotracers was associated with grey matter density in region and ligand-specific manner independently of subjects’ age or sex. These data show that grey matter density and MOR and D2R neuroreceptor / SERT availability are correlated, with effect sizes (r2) ranging from 0.04 to 0.69. This suggests that future studies comparing PET outcome measure different groups (such as patients and controls) should take grey matter density differences between the groups into account.


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 ◽  
...  

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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