Search Results - "Maldjian, Joseph A"

Subconcussive Head Impact Exposure and White Matter Tract Changes over a Single Season of Youth Football by Bahrami, Naeim, Sharma, Dev, Rosenthal, Scott, Davenport, Elizabeth M, Urban, Jillian E, Wagner, Benjamin, Jung, Youngkyoo, Vaughan, Christopher G, Gioia, Gerard A, Stitzel, Joel D, Whitlow, Christopher T, Maldjian, Joseph A

“…Purpose To examine the effects of subconcussive impacts resulting from a single season of youth (age range, 8-13 years) football on changes in specific white…”
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MEGnet: Automatic ICA-based artifact removal for MEG using spatiotemporal convolutional neural networks by Treacher, Alex H., Garg, Prabhat, Davenport, Elizabeth, Godwin, Ryan, Proskovec, Amy, Bezerra, Leonardo Guimaraes, Murugesan, Gowtham, Wagner, Ben, Whitlow, Christopher T., Stitzel, Joel D., Maldjian, Joseph A., Montillo, Albert A.

“…Magnetoencephalography (MEG) is a functional neuroimaging tool that records the magnetic fields induced by neuronal activity; however, signal from non-neuronal…”
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An automated method for neuroanatomic and cytoarchitectonic atlas-based interrogation of fMRI data sets by Maldjian, Joseph A., Laurienti, Paul J., Kraft, Robert A., Burdette, Jonathan H.

“…Analysis and interpretation of functional MRI (fMRI) data have traditionally been based on identifying areas of significance on a thresholded statistical map…”
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Simultaneous MEG and EEG source imaging of electrophysiological activity in response to acute transcranial photobiomodulation by Pruitt, Tyrell, Davenport, Elizabeth M, Proskovec, Amy L, Maldjian, Joseph A, Liu, Hanli

“…Transcranial photobiomodulation (tPBM) is a non-invasive neuromodulation technique that improves human cognition. The effects of tPBM of the right forehead on…”
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A nonhuman primate model of early Alzheimer's disease pathologic change: Implications for disease pathogenesis by Latimer, Caitlin S., Shively, Carol A., Keene, C. Dirk, Jorgensen, Matthew J., Andrews, Rachel N., Register, Thomas C., Montine, Thomas J., Wilson, Angela M., Neth, Bryan J., Mintz, Akiva, Maldjian, Joseph A., Whitlow, Christopher T., Kaplan, Jay R., Craft, Suzanne

“…Nonhuman primates may serve as excellent models of sporadic age-associated brain β-amyloid deposition and Alzheimer's disease pathologic changes. We examined…”
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Biological parametric mapping: A statistical toolbox for multimodality brain image analysis by Casanova, Ramon, Srikanth, Ryali, Baer, Aaron, Laurienti, Paul J., Burdette, Jonathan H., Hayasaka, Satoru, Flowers, Lynn, Wood, Frank, Maldjian, Joseph A.

“…In recent years, multiple brain MR imaging modalities have emerged; however, analysis methodologies have mainly remained modality-specific. In addition, when…”
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Clinical applications of arterial spin labeling by Watts, Jonathan M., Whitlow, Christopher T., Maldjian, Joseph A.

“…MR arterial spin labeling is primarily applied as a neuroimaging method to measure cerebral blood flow. As this technique becomes more widely available, a…”
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Blood-based bioenergetic profiling is related to differences in brain morphology in African Americans with Type 2 diabetes by Mahapatra, Gargi, Smith, S Carrie, Hughes, Timothy M, Wagner, Benjamin, Maldjian, Joseph A, Freedman, Barry I, Molina, Anthony J A

“…Blood-based bioenergetic profiling has promising applications as a minimally invasive biomarker of systemic bioenergetic capacity. In the present study, we…”
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The effect of daily caffeine use on cerebral blood flow: How much caffeine can we tolerate? by Addicott, Merideth A., Yang, Lucie L., Peiffer, Ann M., Burnett, Luke R., Burdette, Jonathan H., Chen, Michael Y., Hayasaka, Satoru, Kraft, Robert A., Maldjian, Joseph A., Laurienti, Paul J.

“…Caffeine is a commonly used neurostimulant that also produces cerebral vasoconstriction by antagonizing adenosine receptors. Chronic caffeine use results in an…”
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A novel fully automated MRI-based deep-learning method for classification of 1p/19q co-deletion status in brain gliomas by Yogananda, Chandan Ganesh Bangalore, Shah, Bhavya R, Yu, Frank F, Pinho, Marco C, Nalawade, Sahil S, Murugesan, Gowtham K, Wagner, Benjamin C, Mickey, Bruce, Patel, Toral R, Fei, Baowei, Madhuranthakam, Ananth J, Maldjian, Joseph A

“…Abstract Background One of the most important recent discoveries in brain glioma biology has been the identification of the isocitrate dehydrogenase (IDH)…”
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Cerebral structural changes in diabetic kidney disease: African American-Diabetes Heart Study MIND by Sink, Kaycee M, Divers, Jasmin, Whitlow, Christopher T, Palmer, Nicholette D, Smith, S Carrie, Xu, Jianzhao, Hugenschmidt, Christina E, Wagner, Benjamin C, Williamson, Jeff D, Bowden, Donald W, Maldjian, Joseph A, Freedman, Barry I

“…Albuminuria and reduced kidney function are associated with cognitive impairment. Relationships between nephropathy and cerebral structural changes remain…”
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Arterial Spin-Labeled MR Perfusion Imaging: Clinical Applications by Pollock, Jeffrey M., MD, Tan, Huan, MS, Kraft, Robert A., PhD, Whitlow, Christopher T., MD, PhD, Burdette, Jonathan H., MD, Maldjian, Joseph A., MD

“…Arterial spin labeling (ASL) imaging soon will be available as a routine clinical perfusion imaging sequence for a significant number of MR imaging scanners…”
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Magnetoencephalography (MEG) Data Processing in Epilepsy Patients with Implanted Responsive Neurostimulation (RNS) Devices by Askari, Pegah, Cardoso da Fonseca, Natascha, Pruitt, Tyrell, Maldjian, Joseph A, Alick-Lindstrom, Sasha, Davenport, Elizabeth M

“…Drug-resistant epilepsy (DRE) is often treated with surgery or neuromodulation. Specifically, responsive neurostimulation (RNS) is a widely used therapy that…”
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MEG measured delta waves increase in adolescents after concussion by Davenport, Elizabeth M., Urban, Jillian E., Vaughan, Christopher, DeSimone, Jesse C., Wagner, Ben, Espeland, Mark A., Powers, Alexander K., Whitlow, Christopher T., Stitzel, Joel D., Maldjian, Joseph A.

“…Introduction The purpose of this study is to determine if delta waves, measured by magnetoencephalography (MEG), increase in adolescents due to a sports…”
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Decreased gray matter concentration in the insular, orbitofrontal, cingulate, and temporal cortices of cocaine patients by Franklin, Teresa R, Acton, Paul D, Maldjian, Joseph A, Gray, Jason D, Croft, Jason R, Dackis, Charles A, O’Brien, Charles P, Childress, Anna Rose

“…Background: Structural deficiencies within limbic and prefrontal regions may contribute to the characteristic drug-seeking and drug-taking behaviors that…”
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Magnetoencephalography Atlas Viewer for Dipole Localization and Viewing by Fonseca, N C D, Bowerman, Jason, Askari, Pegah, Proskovec, Amy L, Feltrin, Fabricio Stewan, Veltkamp, Daniel, Early, Heather, Wagner, Ben C, Davenport, Elizabeth M, Maldjian, Joseph A

“…Magnetoencephalography (MEG) is a noninvasive neuroimaging technique widely recognized for epilepsy and tumor mapping. MEG clinical reporting requires a…”
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Analysis of the relationships between type 2 diabetes status, glycemic control, and neuroimaging measures in the Diabetes Heart Study Mind by Raffield, Laura M., Cox, Amanda J., Freedman, Barry I., Hugenschmidt, Christina E., Hsu, Fang-Chi, Wagner, Benjamin C., Xu, Jianzhao, Maldjian, Joseph A., Bowden, Donald W.

“…Aims To examine the relationships between type 2 diabetes (T2D) status, glycemic control, and T2D duration with magnetic resonance imaging (MRI)-derived…”
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Cross-modal deactivations during modality-specific selective attention by Mozolic, Jennifer L, Joyner, David, Hugenschmidt, Christina E, Peiffer, Ann M, Kraft, Robert A, Maldjian, Joseph A, Laurienti, Paul J

“…Processing stimuli in one sensory modality is known to result in suppression of other sensory-specific cortices. Additionally, behavioral experiments suggest…”
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High dimensional classification of structural MRI Alzheimer's disease data based on large scale regularization by Casanova, Ramon, Whitlow, Christopher T, Wagner, Benjamin, Williamson, Jeff, Shumaker, Sally A, Maldjian, Joseph A, Espeland, Mark A

“…In this work we use a large scale regularization approach based on penalized logistic regression to automatically classify structural MRI images (sMRI)…”
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MRI-Based Deep Learning Method for Classification of IDH Mutation Status by Bangalore Yogananda, Chandan Ganesh, Wagner, Benjamin C, Truong, Nghi C. D, Holcomb, James M, Reddy, Divya D, Saadat, Niloufar, Hatanpaa, Kimmo J, Patel, Toral R, Fei, Baowei, Lee, Matthew D, Jain, Rajan, Bruce, Richard J, Pinho, Marco C, Madhuranthakam, Ananth J, Maldjian, Joseph A

“…Isocitrate dehydrogenase (IDH) mutation status has emerged as an important prognostic marker in gliomas. This study sought to develop deep learning networks…”
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