2018
DOI: 10.1016/j.mri.2018.05.006
|View full text |Cite
|
Sign up to set email alerts
|

Effects of global signal regression and subtraction methods on resting-state functional connectivity using arterial spin labeling data

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

0
3
0
1

Year Published

2019
2019
2021
2021

Publication Types

Select...
5

Relationship

3
2

Authors

Journals

citations
Cited by 5 publications
(4 citation statements)
references
References 37 publications
0
3
0
1
Order By: Relevance
“…We report extensive functional connectivity changes in lower limb amputees without pain during two tactile stimulations: residual limb stimulation and remaining foot stimulation, as compared to controls. Sensorimotor brain connectivity was investigated using the region of interest (ROI-to-ROI) connectivity method 20,21 . A priori ROIs were: primary motor cortex (M1); premotor cortex/supplementary motor area (M2); primary somatosensory cortex (S1); and secondary somatosensory cortex (S2).…”
Section: Resultsmentioning
confidence: 99%
“…We report extensive functional connectivity changes in lower limb amputees without pain during two tactile stimulations: residual limb stimulation and remaining foot stimulation, as compared to controls. Sensorimotor brain connectivity was investigated using the region of interest (ROI-to-ROI) connectivity method 20,21 . A priori ROIs were: primary motor cortex (M1); premotor cortex/supplementary motor area (M2); primary somatosensory cortex (S1); and secondary somatosensory cortex (S2).…”
Section: Resultsmentioning
confidence: 99%
“…Perfusion maps were generated by the subtraction of control and label images. For basal CBF analysis, we used the sync subtraction, while for functional analysis we performed a running pairwise subtraction to increase the number of perfusion images [23]. Quantification was based on the General Kinetic Model [8] using the following parameters: blood longitudinal relaxation time (T1 b ) = 1650 ms; labeling efficiency = 0.85; blood/tissue water partition coefficient (GM/WM) = 0.98/0.84 g/mL; tissue T1 (GM/WM) = 1020/770 ms calculated using a Look-Locker sequence [24].…”
Section: Cbf Quantificationmentioning
confidence: 99%
“…Perfusion maps were generated by subtracting unlabeled and label images acquired with the short TE (= 9 ms). Quantification was performed using the sinc subtraction for regional CBF mapping, while a running pairwise subtraction was performed for functional analysis to increase the number of perfusion-weighted images in the time series [45]. Quantification was based on the General Kinetic Model [29] using the following parameters: blood longitudinal relaxation time (T1b) = 1650 ms; labeling efficiency = 0.85; blood/tissue water partition coefficient (gray matter/white matter) = 0.98/0.84 g ml −1 ; tissue T1 (gray matter-/white matter) = 1020/770 ms [46].…”
Section: Cbf Quantificationmentioning
confidence: 99%