Neural basis of exertional fatigue in the heat: A review of magnetic resonance imaging methods

2017 ◽  
Vol 28 (3) ◽  
pp. 807-818 ◽  
Author(s):  
X. R. Tan ◽  
I. C. C. Low ◽  
M. C. Stephenson ◽  
T. W. Soong ◽  
J. K. W. Lee
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Resonance Imaging ◽  
Neural Basis ◽  
Imaging Methods

scholarly journals A novel resting-state functional magnetic resonance imaging signature of resilience to recurrent depression

2016 ◽  
Vol 47 (4) ◽  
pp. 597-607 ◽  
Author(s):  
C. I. Workman ◽  
K. E. Lythe ◽  
S. McKie ◽  
J. Moll ◽  
J. A. Gethin ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Functional Magnetic Resonance Imaging ◽  
Resting State ◽  
Seed Region ◽  
Functional Magnetic Resonance ◽  
Resonance Imaging ◽  
Recurrent Depression ◽  
Neural Basis ◽  
Resting State Connectivity

BackgroundA high proportion of patients with remitted major depressive disorder (MDD) will experience recurring episodes, whilst some develop resilience and remain in recovery. The neural basis of resilience to recurrence is elusive. Abnormal resting-state connectivity of the subgenual cingulate cortex (sgACC) was previously found in cross-sectional studies of MDD, suggesting its potential pathophysiological importance. The current study aimed to investigate whether resting-state connectivity to a left sgACC seed region distinguishes resilient patients from those developing recurring episodes.MethodA total of 47 medication-free remitted MDD patients and 38 healthy controls underwent resting-state functional magnetic resonance imaging (fMRI) at baseline. Over 14 months, 30 patients remained resilient whilst 17 experienced a recurring episode.ResultsAttenuated interhemispheric left-to-right sgACC connectivity distinguished the resilient from the recurring-episode and control groups and was not correlated with residual depressive symptoms.ConclusionsThe current study revealed a neural signature of resilience to recurrence in MDD and thereby elucidates the role of compensatory adaptation in sgACC networks.

Magnetic resonance imaging methods to reveal the real-time distribution of nickel in porous media

2008 ◽  
Vol 59 (3) ◽  
pp. 476-485 ◽  
Author(s):  
A. B. Moradi ◽  
S. E. Oswald ◽  
J. A. Massner ◽  
K. P. Pruessmann ◽  
B. H. Robinson ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Porous Media ◽  
Magnetic Resonance ◽  
Real Time ◽  
Time Distribution ◽  
Resonance Imaging ◽  
Imaging Methods ◽  
The Real
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