TY - JOUR
T1 - Method for retrospective estimation of natural head movement during structural MRI
AU - Zacà, Domenico
AU - Hasson, Uri
AU - Minati, Ludovico
AU - Jovicich, Jorge
N1 - Funding Information:
Contract grant sponsor: Fondazione Cassa di Risparmio di Trento e Rovereto (to D.Z.) We thank the Parkinson’s Progression Markers Initiative (PPMI) for making their data publicly available (www. ppmi-info.org/data). PPMI—a public–private partnership— is funded by the Michael J. Fox Foundation for Parkinson’s Research and funding partners, including AbbVie, Avid, Biogen, Bristol-Myers Squibb, Covance, GE Healthcare, Genentech, GlaxoSmithKline, Lilly, Lundbeck, Merck,
Funding Information:
Contract grant sponsor: Fondazione Cassa di Risparmio di Trento e Rovereto (to D.Z.) We thank the Parkinson's Progression Markers Initiative (PPMI) for making their data publicly available (www.ppmi-info.org/data). PPMI?a public?private partnership?is funded by the Michael J. Fox Foundation for Parkinson's Research and funding partners, including AbbVie, Avid, Biogen, Bristol-Myers Squibb, Covance, GE Healthcare, Genentech, GlaxoSmithKline, Lilly, Lundbeck, Merck, Meso Scale Discovery, Pfizer, Piramal, Roche, Sanofi Genzyme, Servier, Teva, and UCBUp-to-date information on the PPMI can be found at www.ppmi-info.org. We thank Dr. Michael Andric for technical help with data analysis, Mrs. Mary Lauren McGuirt for assistance with article writing, and Dr. Claudio Boninsegna for helpful discussions.
Publisher Copyright:
© 2018 International Society for Magnetic Resonance in Medicine
PY - 2018/10
Y1 - 2018/10
N2 - Background: Head motion during brain structural MRI scans biases brain morphometry measurements but quantitative retrospective methods estimating head motion from structural MRI have not been evaluated. Purpose: To verify the hypothesis that two metrics retrospectively computed from MR images: 1) average edge strength (AES, reduced with image blurring) and 2) entropy (ENT, increased with blurring and ringing artifacts) could be sensitive to in-scanner head motion during acquisition of T1-weighted MR images. Study Type: Retrospective. Population/Subjects/Phantom/Specimen/Animal Model: In all, 83 healthy control (HC) and 120 Parkinson's disease (PD) patients. Field Strength/Sequence: 3D magnetization-prepared rapid gradient-echo (MPRAGE) images at 3T. Assessment: We 1) compared AES and ENT distribution between HC and PD; 2) evaluated the correlation between tremor score (TS) and AES (or ENT) in PD; and 3) investigated cortical regions showing an association between AES (or ENT) and local and network-level covariance measures of cortical thickness (CT), gray to white matter contrast (GWC) and gray matter density maps (GMx). Statistical Tests: 1) Student's t-test. 2) Spearman's rank correlation. 3) General linear model and partial least square analysis. Results: AES, but not ENT, differentiated HC and PD (P = 0.02, HC median AES = 39.8, interquartile range = 9.8, PD median AES = 37.6, interquartile range = 8.1). In PD, AES correlated negatively with TS (ρ = –0.21, P = 0.02) and showed a significant relationship (|Z| >3, P < 0.001) with structural covariance of CT and GWC in 54 out of 68 cortical regions. Data Conclusion: In clinical populations prone to head motion, AES can provide a reliable retrospective index of motion during structural scans, identifying brain areas whose morphometric measures covary with motion. Level of Evidence: 3. Technical Efficacy: Stage 2. J. Magn. Reson. Imaging 2018;48:927–937.
AB - Background: Head motion during brain structural MRI scans biases brain morphometry measurements but quantitative retrospective methods estimating head motion from structural MRI have not been evaluated. Purpose: To verify the hypothesis that two metrics retrospectively computed from MR images: 1) average edge strength (AES, reduced with image blurring) and 2) entropy (ENT, increased with blurring and ringing artifacts) could be sensitive to in-scanner head motion during acquisition of T1-weighted MR images. Study Type: Retrospective. Population/Subjects/Phantom/Specimen/Animal Model: In all, 83 healthy control (HC) and 120 Parkinson's disease (PD) patients. Field Strength/Sequence: 3D magnetization-prepared rapid gradient-echo (MPRAGE) images at 3T. Assessment: We 1) compared AES and ENT distribution between HC and PD; 2) evaluated the correlation between tremor score (TS) and AES (or ENT) in PD; and 3) investigated cortical regions showing an association between AES (or ENT) and local and network-level covariance measures of cortical thickness (CT), gray to white matter contrast (GWC) and gray matter density maps (GMx). Statistical Tests: 1) Student's t-test. 2) Spearman's rank correlation. 3) General linear model and partial least square analysis. Results: AES, but not ENT, differentiated HC and PD (P = 0.02, HC median AES = 39.8, interquartile range = 9.8, PD median AES = 37.6, interquartile range = 8.1). In PD, AES correlated negatively with TS (ρ = –0.21, P = 0.02) and showed a significant relationship (|Z| >3, P < 0.001) with structural covariance of CT and GWC in 54 out of 68 cortical regions. Data Conclusion: In clinical populations prone to head motion, AES can provide a reliable retrospective index of motion during structural scans, identifying brain areas whose morphometric measures covary with motion. Level of Evidence: 3. Technical Efficacy: Stage 2. J. Magn. Reson. Imaging 2018;48:927–937.
KW - Parkinson's disease
KW - average edge strength
KW - brain morphometry
KW - brain structural MRI
KW - entropy
KW - head motion
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U2 - 10.1002/jmri.25959
DO - 10.1002/jmri.25959
M3 - Article
C2 - 29393987
AN - SCOPUS:85041354326
SN - 1053-1807
VL - 48
SP - 927
EP - 937
JO - Journal of Magnetic Resonance Imaging
JF - Journal of Magnetic Resonance Imaging
IS - 4
ER -