Search Results - "Glen, Daniel R"

Sub-millimeter fMRI reveals multiple topographical digit representations that form action maps in human motor cortex by Huber, Laurentius, Finn, Emily S., Handwerker, Daniel A., Bönstrup, Marlene, Glen, Daniel R., Kashyap, Sriranga, Ivanov, Dimo, Petridou, Natalia, Marrett, Sean, Goense, Jozien, Poser, Benedikt A., Bandettini, Peter A.

“…The human brain coordinates a wide variety of motor activities. On a large scale, the cortical motor system is topographically organized such that neighboring…”
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LayNii: A software suite for layer-fMRI by Huber, Laurentius (Renzo), Poser, Benedikt A., Bandettini, Peter A., Arora, Kabir, Wagstyl, Konrad, Cho, Shinho, Goense, Jozien, Nothnagel, Nils, Morgan, Andrew Tyler, van den Hurk, Job, Müller, Anna K, Reynolds, Richard C., Glen, Daniel R., Goebel, Rainer, Gulban, Omer Faruk

“…•A new software toolbox is introduced for layer-specific functional MRI: LayNii.•LayNii is a suite of command-line executable C++ programs for Linux, Windows,…”
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Quality control practices in FMRI analysis: Philosophy, methods and examples using AFNI by Reynolds, Richard C, Taylor, Paul A, Glen, Daniel R

“…Quality control (QC) is a necessary, but often an under-appreciated, part of FMRI processing. Here we describe procedures for performing QC on acquired or…”
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A new method for improving functional-to-structural MRI alignment using local Pearson correlation by Saad, Ziad S., Glen, Daniel R., Chen, Gang, Beauchamp, Michael S., Desai, Rutvik, Cox, Robert W.

“…Accurate registration of Functional Magnetic Resonance Imaging (FMRI) T2⁎-weighted volumes to same-subject high-resolution T1-weighted structural volumes is…”
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Editorial: Demonstrating quality control (QC) procedures in fMRI by Taylor, Paul A, Glen, Daniel R, Reynolds, Richard C, Basavaraj, Arshitha, Moraczewski, Dustin, Etzel, Joset A

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Beware (Surprisingly Common) Left-Right Flips in Your MRI Data: An Efficient and Robust Method to Check MRI Dataset Consistency Using AFNI by Glen, Daniel R., Taylor, Paul A., Buchsbaum, Bradley R., Cox, Robert W., Reynolds, Richard C.

“…Knowing the difference between left and right is generally assumed throughout the brain MRI research community. However, we note widespread occurrences of…”
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Temporal similarity perfusion mapping: A standardized and model-free method for detecting perfusion deficits in stroke by Song, Sunbin, Bokkers, Reinoud P H, Luby, Marie, Edwardson, Matthew A, Brown, Tyler, Shah, Shreyansh, Cox, Robert W, Saad, Ziad S, Reynolds, Richard C, Glen, Daniel R, Cohen, Leonardo G, Latour, Lawrence L

“…Interpretation of the extent of perfusion deficits in stroke MRI is highly dependent on the method used for analyzing the perfusion-weighted signal intensity…”
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fMRI clustering and false-positive rates by Cox, Robert W., Chen, Gang, Glen, Daniel R., Reynolds, Richard C., Taylor, Paul A.

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FMRI Clustering in AFNI: False-Positive Rates Redux by Cox, Robert W, Chen, Gang, Glen, Daniel R, Reynolds, Richard C, Taylor, Paul A

“…Recent reports of inflated false-positive rates (FPRs) in FMRI group analysis tools by Eklund and associates in 2016 have become a large topic within (and…”
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Improving 3D edge detection for visual inspection of MRI coregistration and alignment by Rorden, Chris, Hanayik, Taylor, Glen, Daniel R., Newman-Norlund, Roger, Drake, Chris, Fridriksson, Julius, Taylor, Paul A.

“…Visualizing edges is critical for neuroimaging. For example, edge maps enable quality assurance for the automatic alignment of an image from one modality (or…”
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A tail of two sides: Artificially doubled false positive rates in neuroimaging due to the sidedness choice with t‐tests by Chen, Gang, Cox, Robert W., Glen, Daniel R., Rajendra, Justin K., Reynolds, Richard C., Taylor, Paul A.

“…One‐sided t‐tests are widely used in neuroimaging data analysis. While such a test may be applicable when investigating specific regions and prior information…”
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Untangling the relatedness among correlations, part I: Nonparametric approaches to inter-subject correlation analysis at the group level by Chen, Gang, Shin, Yong-Wook, Taylor, Paul A., Glen, Daniel R., Reynolds, Richard C., Israel, Robert B., Cox, Robert W.

“…FMRI data acquisition under naturalistic and continuous stimuli (e.g., watching a video or listening to music) has become popular recently due to the fact that…”
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ALICE: A tool for automatic localization of intra-cranial electrodes for clinical and high-density grids by Branco, Mariana P., Gaglianese, Anna, Glen, Daniel R., Hermes, Dora, Saad, Ziad S., Petridou, Natalia, Ramsey, Nick F.

“…•Open-source MATLAB interface to localize intracranial electrodes.•Combined 2D-3D visualization and detection of the electrodes.•Automatic detection and…”
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A series of five population‐specific Indian brain templates and atlases spanning ages 6–60 years by Holla, Bharath, Taylor, Paul A., Glen, Daniel R., Lee, John A., Vaidya, Nilakshi, Mehta, Urvakhsh Meherwan, Venkatasubramanian, Ganesan, Pal, Pramod Kumar, Saini, Jitender, Rao, Naren P., Ahuja, Chirag K., Kuriyan, Rebecca, Krishna, Murali, Basu, Debashish, Kalyanram, Kartik, Chakrabarti, Amit, Orfanos, Dimitri Papadopoulos, Barker, Gareth J., Cox, Robert W., Schumann, Gunter, Bharath, Rose Dawn, Benegal, Vivek

“…Anatomical brain templates are commonly used as references in neurological MRI studies, for bringing data into a common space for group‐level statistics and…”
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An integrative Bayesian approach to matrix‐based analysis in neuroimaging by Chen, Gang, Bürkner, Paul‐Christian, Taylor, Paul A., Li, Zhihao, Yin, Lijun, Glen, Daniel R., Kinnison, Joshua, Cox, Robert W., Pessoa, Luiz

“…Understanding the correlation structure associated with brain regions is a central goal in neuroscience, as it informs about interregional relationships and…”
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Vector autoregression, structural equation modeling, and their synthesis in neuroimaging data analysis by Chen, Gang, Glen, Daniel R, Saad, Ziad S, Paul Hamilton, J, Thomason, Moriah E, Gotlib, Ian H, Cox, Robert W

“…Abstract Vector autoregression (VAR) and structural equation modeling (SEM) are two popular brain-network modeling tools. VAR, which is a data-driven approach,…”
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A diffusion tensor imaging white matter atlas of the domestic canine brain by Inglis, Fiona M., Taylor, Paul A., Andrews, Erica F., Pascalau, Raluca, Voss, Henning U., Glen, Daniel R., Johnson, Philippa J.

“…There is increasing reliance on magnetic resonance imaging (MRI) techniques in both research and clinical settings. However, few standardized methods exist to…”
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Temporal Association of Polysomnographic Cardiorespiratory Events With GER Detected by MII‐pH Probe in the Premature Infant at Term by Nunez, Jeanne, Cristofalo, Elizabeth, McGinley, Brian, Katz, Richard, Glen, Daniel R, Gauda, Estelle

“…ABSTRACT Objectives: The aim of the study was to examine temporal association (TA) between polysomnographic cardiorespiratory (CR) events and gastroesophageal…”
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A Set of FMRI Quality Control Tools in AFNI: Systematic, in-depth, and interactive QC with afni_proc.py and more by Taylor, Paul A., Glen, Daniel R., Chen, Gang, Cox, Robert W., Hanayik, Taylor, Rorden, Chris, Nielson, Dylan M., Rajendra, Justin K., Reynolds, Richard C.

“…Quality control (QC) assessment is a vital part of FMRI processing and analysis, and a typically underdiscussed aspect of reproducibility. This includes…”
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Corrigendum to “Untangling the relatedness among correlations, Part I: Nonparametric approaches to inter-subject correlation analysis at the group level” [Neuroimage (in press)] by Chen, Gang, Shin, Yong Wook, Taylor, Paul A., Glen, Daniel R., Reynolds, Richard C., Israel, Robert B., Cox, Robert W.

“…[...]as before, ISC was computed over the final time series (here, having 406 time points) using 3dTcorrelate in AFNI. All the bootstrap and permutation…”
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