scholarly journals Test-retest reliability and reproducibility of short-echo-time spectroscopic imaging of human brain at 3T

2011 ◽  
Vol 66 (2) ◽  
pp. 324-332 ◽  
Author(s):  
Charles Gasparovic ◽  
Edward J. Bedrick ◽  
Andrew R. Mayer ◽  
Ronald A. Yeo ◽  
HongJi Chen ◽  
...  
Keyword(s):  
Human Brain ◽  
Spectroscopic Imaging ◽  
Retest Reliability ◽  
Echo Time ◽  
Short Echo Time ◽  
Test Retest Reliability

scholarly journals Atlas-based automated positioning of outer volume suppression slices in short-echo time 3D MR spectroscopic imaging of the human brain

2011 ◽  
Vol 66 (4) ◽  
pp. 911-922 ◽  
Author(s):  
Kaung-Ti Yung ◽  
Weili Zheng ◽  
Chenguang Zhao ◽  
Manel Martínez-Ramón ◽  
André van der Kouwe ◽  
...  
Keyword(s):  
Human Brain ◽  
Spectroscopic Imaging ◽  
Outer Volume Suppression ◽  
Echo Time ◽  
Short Echo Time ◽  
Mr Spectroscopic Imaging

scholarly journals Physiological neuronal decline in healthy aging human brain — An in vivo study with MRI and short echo-time whole-brain 1H MR spectroscopic imaging

NeuroImage ◽  
2016 ◽  
Vol 137 ◽  
pp. 45-51 ◽  
Author(s):  
Xiao-Qi Ding ◽  
Andrew A. Maudsley ◽  
Mohammad Sabati ◽  
Sulaiman Sheriff ◽  
Birte Schmitz ◽  
...  
Keyword(s):  
Human Brain ◽  
Healthy Aging ◽  
Spectroscopic Imaging ◽  
In Vivo Study ◽  
Whole Brain ◽  
Echo Time ◽  
Short Echo Time ◽  
Mr Spectroscopic Imaging

Short Echo Time Proton MR Spectroscopic Imaging

1993 ◽  
Vol 17 (1) ◽  
pp. 1-14 ◽  
Author(s):  
Stefan Posse ◽  
Bernhard Schuknecht ◽  
Mary E. Smith ◽  
Peter C. M. van Zijl ◽  
Norbert Herschkowitz ◽  
...  
Keyword(s):  
Spectroscopic Imaging ◽  
Echo Time ◽  
Short Echo Time ◽  
Mr Spectroscopic Imaging

Test–retest reliability of 11C-ORM-13070 in PET imaging of α2C-adrenoceptors in vivo in the human brain

2014 ◽  
Vol 42 (1) ◽  
pp. 120-127 ◽  
Author(s):  
Jussi Lehto ◽  
Jere R. Virta ◽  
Vesa Oikonen ◽  
Anne Roivainen ◽  
Pauliina Luoto ◽  
...  
Keyword(s):  
Human Brain ◽  
Pet Imaging ◽  
Retest Reliability ◽  
Test Retest Reliability

scholarly journals Test-retest reliability of the human functional connectome over consecutive days: identifying highly reliable portions and assessing the impact of methodological choices

2020 ◽  
Vol 4 (3) ◽  
pp. 925-945
Author(s):  
Leonardo Tozzi ◽  
Scott L. Fleming ◽  
Zachary D. Taylor ◽  
Cooper D. Raterink ◽  
Leanne M. Williams
Keyword(s):  
Human Brain ◽  
Functional Neuroimaging ◽  
Intraclass Correlation ◽  
Good Reliability ◽  
Retest Reliability ◽  
Methodological Choices ◽  
Functional Connectome ◽  
Global Signal ◽  
Test Retest Reliability ◽  
The Impact

Countless studies have advanced our understanding of the human brain and its organization by using functional magnetic resonance imaging (fMRI) to derive network representations of human brain function. However, we do not know to what extent these “functional connectomes” are reliable over time. In a large public sample of healthy participants ( N = 833) scanned on two consecutive days, we assessed the test-retest reliability of fMRI functional connectivity and the consequences on reliability of three common sources of variation in analysis workflows: atlas choice, global signal regression, and thresholding. By adopting the intraclass correlation coefficient as a metric, we demonstrate that only a small portion of the functional connectome is characterized by good (6–8%) to excellent (0.08–0.14%) reliability. Connectivity between prefrontal, parietal, and temporal areas is especially reliable, but also average connectivity within known networks has good reliability. In general, while unreliable edges are weak, reliable edges are not necessarily strong. Methodologically, reliability of edges varies between atlases, global signal regression decreases reliability for networks and most edges (but increases it for some), and thresholding based on connection strength reduces reliability. Focusing on the reliable portion of the connectome could help quantify brain trait-like features and investigate individual differences using functional neuroimaging.

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