Analysis strategies for high-resolution UHF-fMRI data

Tutkimustuotos: Lehtiartikkeli

Standard

Analysis strategies for high-resolution UHF-fMRI data. / Polimeni, Jonathan R.; Renvall, Ville; Zaretskaya, Natalia; Fischl, Bruce.

julkaisussa: NeuroImage, Vuosikerta 168, 03.2018, s. 296-320.

Tutkimustuotos: Lehtiartikkeli

Harvard

Polimeni, JR, Renvall, V, Zaretskaya, N & Fischl, B 2018, 'Analysis strategies for high-resolution UHF-fMRI data', NeuroImage, Vuosikerta. 168, Sivut 296-320. https://doi.org/10.1016/j.neuroimage.2017.04.053

APA

Polimeni, J. R., Renvall, V., Zaretskaya, N., & Fischl, B. (2018). Analysis strategies for high-resolution UHF-fMRI data. NeuroImage, 168, 296-320. https://doi.org/10.1016/j.neuroimage.2017.04.053

Vancouver

Polimeni JR, Renvall V, Zaretskaya N, Fischl B. Analysis strategies for high-resolution UHF-fMRI data. NeuroImage. 2018 maalis;168:296-320. https://doi.org/10.1016/j.neuroimage.2017.04.053

Author

Polimeni, Jonathan R. ; Renvall, Ville ; Zaretskaya, Natalia ; Fischl, Bruce. / Analysis strategies for high-resolution UHF-fMRI data. Julkaisussa: NeuroImage. 2018 ; Vuosikerta 168. Sivut 296-320.

Bibtex - Lataa

@article{2bfecf124e104ccdb5aa262fda49bdb0,
title = "Analysis strategies for high-resolution UHF-fMRI data",
abstract = "Functional MRI (fMRI) benefits from both increased sensitivity and specificity with increasing magnetic field strength, making it a key application for Ultra-High Field (UHF) MRI scanners. Most UHF-fMRI studies utilize the dramatic increases in sensitivity and specificity to acquire high-resolution data reaching sub-millimeter scales, which enable new classes of experiments to probe the functional organization of the human brain. This review article surveys advanced data analysis strategies developed for high-resolution fMRI at UHF. These include strategies designed to mitigate distortion and artifacts associated with higher fields in ways that attempt to preserve spatial resolution of the fMRI data, as well as recently introduced analysis techniques that are enabled by these extremely high-resolution data. Particular focus is placed on anatomically-informed analyses, including cortical surface-based analysis, which are powerful techniques that can guide each step of the analysis from preprocessing to statistical analysis to interpretation and visualization. New intracortical analysis techniques for laminar and columnar fMRI are also reviewed and discussed. Prospects for single-subject individualized analyses are also presented and discussed. Altogether, there are both specific challenges and opportunities presented by UHF-fMRI, and the use of proper analysis strategies can help these valuable data reach their full potential.",
keywords = "Anatomically-informed analysis, Distortion correction, Distortion-matched functional and anatomical data, FMRI preprocessing, High-resolution fMRI, Surface-based analysis, Surface-based distortion correction",
author = "Polimeni, {Jonathan R.} and Ville Renvall and Natalia Zaretskaya and Bruce Fischl",
year = "2018",
month = "3",
doi = "10.1016/j.neuroimage.2017.04.053",
language = "English",
volume = "168",
pages = "296--320",
journal = "NeuroImage",
issn = "1053-8119",

}

RIS - Lataa

TY - JOUR

T1 - Analysis strategies for high-resolution UHF-fMRI data

AU - Polimeni, Jonathan R.

AU - Renvall, Ville

AU - Zaretskaya, Natalia

AU - Fischl, Bruce

PY - 2018/3

Y1 - 2018/3

N2 - Functional MRI (fMRI) benefits from both increased sensitivity and specificity with increasing magnetic field strength, making it a key application for Ultra-High Field (UHF) MRI scanners. Most UHF-fMRI studies utilize the dramatic increases in sensitivity and specificity to acquire high-resolution data reaching sub-millimeter scales, which enable new classes of experiments to probe the functional organization of the human brain. This review article surveys advanced data analysis strategies developed for high-resolution fMRI at UHF. These include strategies designed to mitigate distortion and artifacts associated with higher fields in ways that attempt to preserve spatial resolution of the fMRI data, as well as recently introduced analysis techniques that are enabled by these extremely high-resolution data. Particular focus is placed on anatomically-informed analyses, including cortical surface-based analysis, which are powerful techniques that can guide each step of the analysis from preprocessing to statistical analysis to interpretation and visualization. New intracortical analysis techniques for laminar and columnar fMRI are also reviewed and discussed. Prospects for single-subject individualized analyses are also presented and discussed. Altogether, there are both specific challenges and opportunities presented by UHF-fMRI, and the use of proper analysis strategies can help these valuable data reach their full potential.

AB - Functional MRI (fMRI) benefits from both increased sensitivity and specificity with increasing magnetic field strength, making it a key application for Ultra-High Field (UHF) MRI scanners. Most UHF-fMRI studies utilize the dramatic increases in sensitivity and specificity to acquire high-resolution data reaching sub-millimeter scales, which enable new classes of experiments to probe the functional organization of the human brain. This review article surveys advanced data analysis strategies developed for high-resolution fMRI at UHF. These include strategies designed to mitigate distortion and artifacts associated with higher fields in ways that attempt to preserve spatial resolution of the fMRI data, as well as recently introduced analysis techniques that are enabled by these extremely high-resolution data. Particular focus is placed on anatomically-informed analyses, including cortical surface-based analysis, which are powerful techniques that can guide each step of the analysis from preprocessing to statistical analysis to interpretation and visualization. New intracortical analysis techniques for laminar and columnar fMRI are also reviewed and discussed. Prospects for single-subject individualized analyses are also presented and discussed. Altogether, there are both specific challenges and opportunities presented by UHF-fMRI, and the use of proper analysis strategies can help these valuable data reach their full potential.

KW - Anatomically-informed analysis

KW - Distortion correction

KW - Distortion-matched functional and anatomical data

KW - FMRI preprocessing

KW - High-resolution fMRI

KW - Surface-based analysis

KW - Surface-based distortion correction

UR - http://www.scopus.com/inward/record.url?scp=85020115884&partnerID=8YFLogxK

U2 - 10.1016/j.neuroimage.2017.04.053

DO - 10.1016/j.neuroimage.2017.04.053

M3 - Article

VL - 168

SP - 296

EP - 320

JO - NeuroImage

JF - NeuroImage

SN - 1053-8119

ER -

ID: 13663502