Literature DB >> 28461062

Analysis strategies for high-resolution UHF-fMRI data.

Jonathan R Polimeni1, Ville Renvall2, Natalia Zaretskaya3, Bruce Fischl4.   

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.
Copyright © 2017 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Anatomically-informed analysis; Distortion correction; Distortion-matched functional and anatomical data; High-resolution fMRI; Surface-based analysis; Surface-based distortion correction; fMRI preprocessing

Mesh:

Year:  2017        PMID: 28461062      PMCID: PMC5664177          DOI: 10.1016/j.neuroimage.2017.04.053

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  212 in total

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2.  Simultaneous correction for interscan patient motion and geometric distortions in echoplanar imaging.

Authors:  T Ernst; O Speck; L Itti; L Chang
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3.  A unified statistical approach for determining significant signals in images of cerebral activation.

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4.  Brain morphometry with multiecho MPRAGE.

Authors:  André J W van der Kouwe; Thomas Benner; David H Salat; Bruce Fischl
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5.  To dip or not to dip: reconciling optical imaging and fMRI data.

Authors:  Kâmil Uludag
Journal:  Proc Natl Acad Sci U S A       Date:  2010-02-08       Impact factor: 11.205

6.  A cytoarchitecture-driven myelin model reveals area-specific signatures in human primary and secondary areas using ultra-high resolution in-vivo brain MRI.

Authors:  J Dinse; N Härtwich; M D Waehnert; C L Tardif; A Schäfer; S Geyer; B Preim; R Turner; P-L Bazin
Journal:  Neuroimage       Date:  2015-04-18       Impact factor: 6.556

7.  Neuroimaging brainstem circuitry supporting cardiovagal response to pain: a combined heart rate variability/ultrahigh-field (7 T) functional magnetic resonance imaging study.

Authors:  Roberta Sclocco; Florian Beissner; Gaelle Desbordes; Jonathan R Polimeni; Lawrence L Wald; Norman W Kettner; Jieun Kim; Ronald G Garcia; Ville Renvall; Anna M Bianchi; Sergio Cerutti; Vitaly Napadow; Riccardo Barbieri
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2016-05-13       Impact factor: 4.226

8.  Cortex-based independent component analysis of fMRI time series.

Authors:  Elia Formisano; Fabrizio Esposito; Francesco Di Salle; Rainer Goebel
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9.  Accurate and robust brain image alignment using boundary-based registration.

Authors:  Douglas N Greve; Bruce Fischl
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Authors:  Martin I Sereno; Antoine Lutti; Nikolaus Weiskopf; Frederic Dick
Journal:  Cereb Cortex       Date:  2012-07-23       Impact factor: 5.357

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  27 in total

1.  Optimized partial-coverage functional analysis pipeline (OPFAP): a semi-automated pipeline for skull stripping and co-registration of partial-coverage, ultra-high-field functional images.

Authors:  Peter E Yoo; Jon O Cleary; Scott C Kolbe; Roger J Ordidge; Terence J O'Brien; Nicholas L Opie; Sam E John; Thomas J Oxley; Bradford A Moffat
Journal:  MAGMA       Date:  2018-05-29       Impact factor: 2.310

2.  On the analysis of rapidly sampled fMRI data.

Authors:  Jingyuan E Chen; Jonathan R Polimeni; Saskia Bollmann; Gary H Glover
Journal:  Neuroimage       Date:  2019-02-05       Impact factor: 6.556

3.  Cortical depth profiles of luminance contrast responses in human V1 and V2 using 7 T fMRI.

Authors:  Ingo Marquardt; Marian Schneider; Omer Faruk Gulban; Dimo Ivanov; Kâmil Uludağ
Journal:  Hum Brain Mapp       Date:  2018-03-25       Impact factor: 5.038

4.  Intracortical smoothing of small-voxel fMRI data can provide increased detection power without spatial resolution losses compared to conventional large-voxel fMRI data.

Authors:  Anna I Blazejewska; Bruce Fischl; Lawrence L Wald; Jonathan R Polimeni
Journal:  Neuroimage       Date:  2019-01-25       Impact factor: 6.556

5.  Dependence of resting-state fMRI fluctuation amplitudes on cerebral cortical orientation relative to the direction of B0 and anatomical axes.

Authors:  Olivia Viessmann; Klaus Scheffler; Marta Bianciardi; Lawrence L Wald; Jonathan R Polimeni
Journal:  Neuroimage       Date:  2019-04-17       Impact factor: 6.556

6.  Static and dynamic BOLD fMRI components along white matter fibre tracts and their dependence on the orientation of the local diffusion tensor axis relative to the B0-field.

Authors:  Olivia Viessmann; Qiyuan Tian; Michaël Bernier; Jonathan R Polimeni
Journal:  J Cereb Blood Flow Metab       Date:  2022-06-01       Impact factor: 6.960

7.  Stimulus-dependent hemodynamic response timing across the human subcortical-cortical visual pathway identified through high spatiotemporal resolution 7T fMRI.

Authors:  Laura D Lewis; Kawin Setsompop; Bruce R Rosen; Jonathan R Polimeni
Journal:  Neuroimage       Date:  2018-06-20       Impact factor: 6.556

Review 8.  New acquisition techniques and their prospects for the achievable resolution of fMRI.

Authors:  Saskia Bollmann; Markus Barth
Journal:  Prog Neurobiol       Date:  2020-10-23       Impact factor: 11.685

9.  Ultra-high spatial resolution BOLD fMRI in humans using combined segmented-accelerated VFA-FLEET with a recursive RF pulse design.

Authors:  Avery J L Berman; William A Grissom; Thomas Witzel; Shahin Nasr; Daniel J Park; Kawin Setsompop; Jonathan R Polimeni
Journal:  Magn Reson Med       Date:  2020-07-23       Impact factor: 4.668

Review 10.  Imaging faster neural dynamics with fast fMRI: A need for updated models of the hemodynamic response.

Authors:  Jonathan R Polimeni; Laura D Lewis
Journal:  Prog Neurobiol       Date:  2021-09-12       Impact factor: 11.685

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