Deconfounding the Effects of Resting State Activity on Task Activation Detection in fMRI

Author(s):  
Burak Yoldemir ◽  
Bernard Ng ◽  
Rafeef Abugharbieh
2019 ◽  
Vol 55 ◽  
pp. 10-17 ◽  
Author(s):  
Angela V. Spalatro ◽  
Federico Amianto ◽  
Zirui Huang ◽  
Federico D’Agata ◽  
Mauro Bergui ◽  
...  

AbstractBackground:Despite the great number of resting state functional connectivity studies on Eating Disorders (ED), no biomarkers could be detected yet. Therefore, we here focus on a different measure of resting state activity that is neuronal variability. The objective of this study was to investigate neuronal variability in the resting state of women with ED and to correlate possible differences with clinical and psychopathological indices.Methods:58 women respectively 25 with Anorexia Nervosa (AN), 16 with Bulimia Nervosa (BN) and 17 matched healthy controls (CN) were enrolled for the study. All participants were tested with a battery of psychometric tests and underwent a functional Magnetic Resonance Imaging (fMRI) resting state scanning. We investigated topographical patterns of variability measured by the Standard Deviation (SD) of the Blood-Oxygen-Level-Dependent (BOLD) signal (as a measure of neuronal variability) in the resting-state and their relationship to clinical and psychopathological indices.Results:Neuronal variability was increased in both anorectic and bulimic subjects specifically in the Ventral Attention Network (VAN) compared to healthy controls. No significant differences were found in the other networks. Significant correlations were found between neuronal variability of VAN and various clinical and psychopathological indices.Conclusions:We here show increased neuronal variability of VAN in ED patients. As the VAN is relevant for switching between endogenous and exogenous stimuli, our results showing increased neuronal variability suggest unstable balance between body attention and attention to external world. These results offer new perspective on the neurobiological basis of ED. Clinical and therapeutic implication will be discussed.


2016 ◽  
Vol 30 (2) ◽  
pp. 281-289 ◽  
Author(s):  
Péter Faragó ◽  
Nikoletta Szabó ◽  
Eszter Tóth ◽  
Bernadett Tuka ◽  
András Király ◽  
...  

2017 ◽  
Vol 78 (04) ◽  
pp. e372-e382 ◽  
Author(s):  
Chun-Hong Liu ◽  
Xin Ma ◽  
Zhen Yuan ◽  
Lu-Ping Song ◽  
Bing Jing ◽  
...  

PLoS ONE ◽  
2014 ◽  
Vol 9 (6) ◽  
pp. e98795 ◽  
Author(s):  
Yolanda R. Schlumpf ◽  
Antje A. T. S. Reinders ◽  
Ellert R. S. Nijenhuis ◽  
Roger Luechinger ◽  
Matthias J. P. van Osch ◽  
...  

2019 ◽  
Vol 33 (1) ◽  
pp. 123-134 ◽  
Author(s):  
Jue Wang ◽  
Hai-Jiang Meng ◽  
Gong-Jun Ji ◽  
Ying Jing ◽  
Hong-Xiao Wang ◽  
...  

Abstract Both functional magnetic resonance imaging (fMRI) and transcranial magnetic stimulation (TMS) have been used to non-invasively localize the human motor functional area. These locations can be clinically used as stimulation target of TMS treatment. However, it has been reported that the finger tapping fMRI activation and TMS hotspot were not well-overlapped. The aim of the current study was to measure the distance between the finger tapping fMRI activation and the TMS hotspot, and more importantly, to compare the network difference by using resting-state fMRI. Thirty healthy participants underwent resting-state fMRI, task fMRI, and then TMS hotspot localization. We found significant difference of locations between finger tapping fMRI activation and TMS hotspot. Specifically, the finger tapping fMRI activation was more lateral than the TMS hotspot in the premotor area. The fMRI activation peak and TMS hotspot were taken as seeds for resting-state functional connectivity analyses. Compared with TMS hotspot, finger tapping fMRI activation peak showed more intensive functional connectivity with, e.g., the bilateral premotor, insula, putamen, and right globus pallidus. The findings more intensive networks of finger tapping activation than TMS hotspot suggest that TMS treatment targeting on the fMRI activation area might result in more remote effects and would be more helpful for TMS treatment on movement disorders.


PLoS ONE ◽  
2019 ◽  
Vol 14 (10) ◽  
pp. e0223234
Author(s):  
Mengling Shao ◽  
Huiyan Lin ◽  
Desheng Yin ◽  
Yongjie Li ◽  
Yifan Wang ◽  
...  

2019 ◽  
Vol 129 ◽  
pp. 331-347 ◽  
Author(s):  
Aneta Kielar ◽  
Priyanka P. Shah-Basak ◽  
Tiffany Deschamps ◽  
Regina Jokel ◽  
Jed A. Meltzer

2020 ◽  
Vol 10 ◽  
Author(s):  
Massimiliano Zanin ◽  
Bahar Güntekin ◽  
Tuba Aktürk ◽  
Lütfü Hanoğlu ◽  
David Papo

2006 ◽  
Vol 14 (7S_Part_16) ◽  
pp. P877-P878
Author(s):  
Coraline D. Metzger ◽  
Martin Dyrba ◽  
Daniel Bittner ◽  
Xiaochen Hu ◽  
Frank Jessen ◽  
...  

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