M Okan Irfanoglu
Overview
Explore the profile of M Okan Irfanoglu including associated specialties, affiliations and a list of published articles.
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26
Citations
1101
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Recent Articles
1.
Edwardson M, Nayak A, Irfanoglu M, Luby M, Latour L, Pierpaoli C
Neurology
. 2025 Mar;
104(7):e213408.
PMID: 40030091
Background And Objectives: Diffusion tensor-based morphometry (DTBM) provides a more accurate assessment of volumetric changes in white matter structures than conventional T1-based TBM techniques. We sought to determine whether DTBM...
2.
Dean 3rd D, Tisdall M, Wisnowski J, Feczko E, Gagoski B, Alexander A, et al.
Dev Cogn Neurosci
. 2024 Sep;
70:101452.
PMID: 39341120
The HEALthy Brain and Child Development (HBCD) Study, a multi-site prospective longitudinal cohort study, will examine human brain, cognitive, behavioral, social, and emotional development beginning prenatally and planned through early...
3.
Johnson J, Irfanoglu M, Manninen E, Ross T, Yang Y, Laun F, et al.
Hum Brain Mapp
. 2024 May;
45(7):e26697.
PMID: 38726888
Diffusion MRI with free gradient waveforms, combined with simultaneous relaxation encoding, referred to as multidimensional MRI (MD-MRI), offers microstructural specificity in complex biological tissue. This approach delivers intravoxel information about...
4.
Pierpaoli C, Nayak A, Hafiz R, Irfanoglu M, Chen G, Taylor P, et al.
JAMA
. 2024 Mar;
331(13):1122-1134.
PMID: 38497822
Importance: US government personnel stationed internationally have reported anomalous health incidents (AHIs), with some individuals experiencing persistent debilitating symptoms. Objective: To assess the potential presence of magnetic resonance imaging (MRI)-detectable...
5.
Hafiz R, Irfanoglu M, Nayak A, Pierpaoli C
J Magn Reson Imaging
. 2024 Jan;
60(5):1853-1866.
PMID: 38291798
Background: Quantitative magnetic resonance imaging (MRI) metrics could be used in personalized medicine to assess individuals against normative distributions. Conventional Zscore analysis is inadequate in the presence of non-Gaussian distributions....
6.
Hafiz R, Irfanoglu M, Nayak A, Pierpaoli C
bioRxiv
. 2023 Dec;
PMID: 38105995
Background: Quantitative MRI metrics could be used in personalized medicine to assess individuals against normative distributions. Conventional Zscore analysis is inadequate in the presence of non-Gaussian distributions. Therefore, if quantitative...
7.
Johnson J, Irfanoglu M, Manninen E, Ross T, Yang Y, Laun F, et al.
bioRxiv
. 2023 Nov;
PMID: 37987005
Diffusion MRI with free gradient waveforms, combined with simultaneous relaxation encoding, referred to as multidimensional MRI (MD-MRI), offers microstructural specificity in complex biological tissue. This approach delivers intravoxel information about...
8.
Tax C, Bastiani M, Veraart J, Garyfallidis E, Irfanoglu M
Neuroimage
. 2021 Dec;
249:118830.
PMID: 34965454
Diffusion MRI (dMRI) provides invaluable information for the study of tissue microstructure and brain connectivity, but suffers from a range of imaging artifacts that greatly challenge the analysis of results...
9.
Barnett A, Irfanoglu M, Landman B, Rogers B, Pierpaoli C
Magn Reson Med
. 2021 Aug;
86(6):3259-3273.
PMID: 34351007
Purpose: To use diffusion measurements to map the spatial dependence of the magnetic field produced by the gradient coils of an MRI scanner with sufficient accuracy to correct errors in...
10.
Irfanoglu M, Sadeghi N, Sarlls J, Pierpaoli C
Magn Reson Med
. 2020 Dec;
85(5):2696-2708.
PMID: 33331068
Purpose: To assess the effects of blip-up and -down echo planar imaging (EPI) acquisition designs, with different choices of phase-encoding directions (PEDs) on the reproducibility of diffusion MRI (dMRI)-derived metrics...