-
Je něco špatně v tomto záznamu ?
The Impact of Spatial Normalization Strategies on the Temporal Features of the Resting-State Functional MRI: Spatial Normalization Before rs-fMRI Features Calculation May Reduce the Reliability
Z. Qing, X. Zhang, M. Ye, S. Wu, X. Wang, Z. Nedelska, J. Hort, B. Zhu, B. Zhang,
Jazyk angličtina Země Švýcarsko
Typ dokumentu časopisecké články
NLK
Directory of Open Access Journals
od 2007
Free Medical Journals
od 2007
Freely Accessible Science Journals
od 2007-11-01
PubMed Central
od 2007
Europe PubMed Central
od 2007
ProQuest Central
od 2007-10-15 do 2021-12-31
Open Access Digital Library
od 2007-01-01
Open Access Digital Library
od 2007-01-01
ROAD: Directory of Open Access Scholarly Resources
od 2007
PubMed
31849578
DOI
10.3389/fnins.2019.01249
Knihovny.cz E-zdroje
- Publikační typ
- časopisecké články MeSH
Previous resting-state functional magnetic resonance imaging (rs-fMRI) studies frequently applied the spatial normalization on fMRI time series before the calculation of temporal features (here referred to as "Prenorm"). We hypothesized that calculating the rs-fMRI features, for example, functional connectivity (FC), regional homogeneity (ReHo), or amplitude of low-frequency fluctuation (ALFF) in individual space, before the spatial normalization (referred to as "Postnorm") can be an improvement to avoid artifacts and increase the results' reliability. We utilized two datasets: (1) simulated images where temporal signal-to-noise ratio (tSNR) is kept a constant and (2) an empirical fMRI dataset with 50 healthy young subjects. For simulated images, the tSNR is constant as generated in individual space but increased after Prenorm and intersubject variability of tSNR was induced. In contrast, tSNR was kept constant after Postnorm. Consistently, for empirical images, higher tSNR, ReHo, and FC (default mode network, seed in precuneus) and lower ALFF were found after Prenorm compared to those of Postnorm. Coefficient of variability of tSNR and ALFF was higher after Prenorm compared to those of Postnorm. Moreover, the significant correlation was found between simulated tSNR after Prenorm and empirical tSNR, ALFF, and ReHo after Prenorm, indicating algorithmic variation in empirical rs-fMRI features. Furthermore, comparing to Prenorm, ALFF and ReHo showed higher intraclass correlation coefficients between two serial scans after Postnorm. Our results indicated that Prenorm may induce algorithmic intersubject variability on tSNR and reduce its reliability, which also significantly affected ALFF and ReHo. We suggest using Postnorm instead of Prenorm for future rs-fMRI studies using ALFF/ReHo.
Citace poskytuje Crossref.org
- 000
- 00000naa a2200000 a 4500
- 001
- bmc19043893
- 003
- CZ-PrNML
- 005
- 20200109095105.0
- 007
- ta
- 008
- 200107s2019 sz f 000 0|eng||
- 009
- AR
- 024 7_
- $a 10.3389/fnins.2019.01249 $2 doi
- 035 __
- $a (PubMed)31849578
- 040 __
- $a ABA008 $b cze $d ABA008 $e AACR2
- 041 0_
- $a eng
- 044 __
- $a sz
- 100 1_
- $a Qing, Zhao $u Department of Radiology, The Affiliated Drum Tower Hospital of Nanjing University Medical School, Nanjing, China. Institute for Brain Sciences, Nanjing University, Nanjing, China.
- 245 14
- $a The Impact of Spatial Normalization Strategies on the Temporal Features of the Resting-State Functional MRI: Spatial Normalization Before rs-fMRI Features Calculation May Reduce the Reliability / $c Z. Qing, X. Zhang, M. Ye, S. Wu, X. Wang, Z. Nedelska, J. Hort, B. Zhu, B. Zhang,
- 520 9_
- $a Previous resting-state functional magnetic resonance imaging (rs-fMRI) studies frequently applied the spatial normalization on fMRI time series before the calculation of temporal features (here referred to as "Prenorm"). We hypothesized that calculating the rs-fMRI features, for example, functional connectivity (FC), regional homogeneity (ReHo), or amplitude of low-frequency fluctuation (ALFF) in individual space, before the spatial normalization (referred to as "Postnorm") can be an improvement to avoid artifacts and increase the results' reliability. We utilized two datasets: (1) simulated images where temporal signal-to-noise ratio (tSNR) is kept a constant and (2) an empirical fMRI dataset with 50 healthy young subjects. For simulated images, the tSNR is constant as generated in individual space but increased after Prenorm and intersubject variability of tSNR was induced. In contrast, tSNR was kept constant after Postnorm. Consistently, for empirical images, higher tSNR, ReHo, and FC (default mode network, seed in precuneus) and lower ALFF were found after Prenorm compared to those of Postnorm. Coefficient of variability of tSNR and ALFF was higher after Prenorm compared to those of Postnorm. Moreover, the significant correlation was found between simulated tSNR after Prenorm and empirical tSNR, ALFF, and ReHo after Prenorm, indicating algorithmic variation in empirical rs-fMRI features. Furthermore, comparing to Prenorm, ALFF and ReHo showed higher intraclass correlation coefficients between two serial scans after Postnorm. Our results indicated that Prenorm may induce algorithmic intersubject variability on tSNR and reduce its reliability, which also significantly affected ALFF and ReHo. We suggest using Postnorm instead of Prenorm for future rs-fMRI studies using ALFF/ReHo.
- 655 _2
- $a časopisecké články $7 D016428
- 700 1_
- $a Zhang, Xin $u Department of Radiology, The Affiliated Drum Tower Hospital of Nanjing University Medical School, Nanjing, China.
- 700 1_
- $a Ye, Meiping $u Department of Radiology, The Affiliated Drum Tower Hospital of Nanjing University Medical School, Nanjing, China.
- 700 1_
- $a Wu, Sichu $u Department of Radiology, The Affiliated Drum Tower Hospital of Nanjing University Medical School, Nanjing, China.
- 700 1_
- $a Wang, Xin $u Department of Radiology, The Affiliated Drum Tower Hospital of Nanjing University Medical School, Nanjing, China.
- 700 1_
- $a Nedelska, Zuzana $u International Clinical Research Center, St. Anne's University Hospital Brno, Brno, Czechia. Memory Clinic, Department of Neurology, Second Faculty of Medicine Charles University and Motol University Hospital, Prague, Czechia.
- 700 1_
- $a Hort, Jakub $u International Clinical Research Center, St. Anne's University Hospital Brno, Brno, Czechia. Memory Clinic, Department of Neurology, Second Faculty of Medicine Charles University and Motol University Hospital, Prague, Czechia.
- 700 1_
- $a Zhu, Bin $u Department of Radiology, The Affiliated Drum Tower Hospital of Nanjing University Medical School, Nanjing, China.
- 700 1_
- $a Zhang, Bing $u Department of Radiology, The Affiliated Drum Tower Hospital of Nanjing University Medical School, Nanjing, China. Institute for Brain Sciences, Nanjing University, Nanjing, China.
- 773 0_
- $w MED00163313 $t Frontiers in neuroscience $x 1662-4548 $g Roč. 13, č. - (2019), s. 1249
- 856 41
- $u https://pubmed.ncbi.nlm.nih.gov/31849578 $y Pubmed
- 910 __
- $a ABA008 $b sig $c sign $y a $z 0
- 990 __
- $a 20200107 $b ABA008
- 991 __
- $a 20200109095434 $b ABA008
- 999 __
- $a ind $b bmc $g 1480482 $s 1082563
- BAS __
- $a 3
- BAS __
- $a PreBMC
- BMC __
- $a 2019 $b 13 $c - $d 1249 $e 20191126 $i 1662-4548 $m Frontiers in neuroscience $n Front Neurosci $x MED00163313
- LZP __
- $a Pubmed-20200107