Low-frequency fluctuation amplitude analysis of resting-state fMRI for functional brain response differences between acupuncture and moxibustion at Zusanli (ST 36) in patient with functional dyspepsia

2017 ◽  
Vol 15 (4) ◽  
pp. 230-236 ◽  
Author(s):  
Mai-lan Liu ◽  
Can Liu ◽  
Jing Wu ◽  
Bo Li ◽  
Zhi-gen Zhou ◽  
...  
Keyword(s):  
Functional Dyspepsia ◽  
Resting State ◽  
Low Frequency ◽  
Resting State Fmri ◽  
Frequency Fluctuation ◽  
Brain Response ◽  
Amplitude Analysis ◽  
Functional Brain ◽  
Acupuncture And Moxibustion ◽  
Fluctuation Amplitude

scholarly journals Low-frequency fluctuation amplitude analysis of resting-state fMRI in sickle cell disease

2015 ◽  
Author(s):  
Julie Coloigner ◽  
Yeun Kim ◽  
Adam Bush ◽  
Matt Borzage ◽  
Vidya Rajagopalan ◽  
...  
Keyword(s):  
Sickle Cell Disease ◽  
Sickle Cell ◽  
Resting State ◽  
Low Frequency ◽  
Resting State Fmri ◽  
Frequency Fluctuation ◽  
Cell Disease ◽  
Amplitude Analysis ◽  
Fluctuation Amplitude

Fractional amplitude of low-frequency fluctuation changes in functional dyspepsia: A resting-state fMRI study

2013 ◽  
Vol 31 (6) ◽  
pp. 996-1000 ◽  
Author(s):  
Guangyu Zhou ◽  
Peng Liu ◽  
Jingjing Wang ◽  
Haixia Wen ◽  
Mengbo Zhu ◽  
...  
Keyword(s):  
Functional Dyspepsia ◽  
Resting State ◽  
Low Frequency ◽  
Resting State Fmri ◽  
Frequency Fluctuation ◽  
Fmri Study

Altered fractional amplitude of low frequency fluctuation in premenstrual syndrome: A resting state fMRI study

2017 ◽  
Vol 218 ◽  
pp. 41-48 ◽  
Author(s):  
Hai Liao ◽  
Gaoxiong Duan ◽  
Peng Liu ◽  
Yanfei Liu ◽  
Yong Pang ◽  
...  
Keyword(s):  
Premenstrual Syndrome ◽  
Resting State ◽  
Low Frequency ◽  
Resting State Fmri ◽  
Frequency Fluctuation ◽  
Fmri Study

scholarly journals Large-Scale Intrinsic Functional Brain Organization Emerges from Three Canonical Spatiotemporal Patterns

2021 ◽  
Author(s):  
Taylor S Bolt ◽  
Jason Nomi ◽  
Danilo Bzdok ◽  
Catie Chang ◽  
B.T. Thomas Yeo ◽  
...  
Keyword(s):  
Resting State ◽  
Large Scale ◽  
Low Frequency ◽  
Resting State Fmri ◽  
Spatiotemporal Patterns ◽  
Brain Organization ◽  
Functional Brain ◽  
Temporal Properties ◽  
Human Connectome Project ◽  
Functional Brain Organization

The characterization of intrinsic functional brain organization has been approached from a multitude of analytic techniques and methods. We are still at a loss of a unifying conceptual framework for capturing common insights across this patchwork of empirical findings. By analyzing resting-state fMRI data from the Human Connectome Project using a large number of popular analytic techniques, we find that all results can be seamlessly reconciled by three fundamental low-frequency spatiotemporal patterns that we have identified via a novel time-varying complex pattern analysis. Overall, these three spatiotemporal patterns account for a wide variety of previously observed phenomena in the resting-state fMRI literature including the task-positive/task-negative anticorrelation, the global signal, the primary functional connectivity gradient and the network community structure of the functional connectome. The shared spatial and temporal properties of these three canonical patterns suggest that they arise from a single hemodynamic mechanism.

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