Digital Commons Network^™

Myocardial Contractility Pattern Characterization In Radiation-Induced Cardiotoxicity Using Magnetic Resonance Imaging: A Pilot Study With Contractix, El-Sayed H Ibrahim, Antonio Sosa, Sherry-Ann Brown, Dayeong An, Slade Klawikowski, John Baker, Carmen Bergom

2020-Current year OA Pubs

Radiation therapy (RT) plays an integral role in treating thoracic cancers, despite the risk of radiation-induced cardiotoxicity. We hypothesize that our newly developed magnetic resonance imaging (MRI)-based contractility index (ContractiX) is a sensitive marker for early detection of RT-induced cardiotoxicity in a preclinical rat model of thoracic cancer RT. Adult salt-sensitive rats received image-guided heart RT and were imaged with MRI at 8 weeks and 10 weeks post-RT or sham. The MRI exam included cine and tagging sequences to measure left-ventricular ejection fraction (LVEF), mass, myocardial strain, and ContractiX. Furthermore, ventricular torsion, diastolic strain rate, and mechanical dyssynchrony were measured. …

Utilization Of Cardiovascular Magnetic Resonance (Cmr) Imaging For Resumption Of Athletic Activities Following Covid-19 Infection: An Expert Consensus Document On Behalf Of The American Heart Association Council On Cardiovascular Radiology And Intervention (Cvri) Leadership And Endorsed By The Society For Cardiovascular Magnetic Resonance (Scmr), Frederick L. Ruberg, Aaron L. Baggish, Allison G. Hays, Michael Jerosch-Herold, Jiwon Kim, Karen G. Ordovas, Gautham Reddy, Chetan Shenoy, Jonathan W. Weinsaft, Pamela K. Woodard

2020-Current year OA Pubs

The global pandemic of coronavirus disease 2019 (COVID-19) caused by infection with severe acute respiratory suyndrome coronavirus 2 (SARS-CoV-2) is now entering its 4th year with little evidence of abatement. As of December 2022, the World Health Organization Coronavirus (COVID-19) Dashboard reported 643 million cumulative confirmed cases of COVID-19 worldwide and 98 million in the United States alone as the country with the highest number of cases. While pneumonia with lung injury has been the manifestation of COVID-19 principally responsible for morbidity and mortality, myocardial inflammation and systolic dysfunction though uncommon are well-recognized features that also associate with adverse prognosis. …

Utilization Of Cardiovascular Magnetic Resonance (Cmr) Imaging For Resumption Of Athletic Activities Following Covid-19 Infection: An Expert Consensus Document On Behalf Of The American Heart Association Council On Cardiovascular Radiology And Intervention (Cvri) Leadership And Endorsed By The Society For Cardiovascular Magnetic Resonance (Scmr), Frederick L Ruberg, Aaron L Baggish, Allison G Hays, Michael Jerosch-Herold, Jiwon Kim, Karen G Ordovas, Gautham Reddy, Chetan Shenoy, Jonathan W Weinsaft, Pamela K Woodard

2020-Current year OA Pubs

The global pandemic of coronavirus disease 2019 (COVID-19) caused by infection with severe acute respiratory suyndrome coronavirus 2 (SARS-CoV-2) is now entering its 4th year with little evidence of abatement. As of December 2022, the World Health Organization Coronavirus (COVID-19) Dashboard reported 643 million cumulative confirmed cases of COVID-19 worldwide and 98 million in the United States alone as the country with the highest number of cases. While pneumonia with lung injury has been the manifestation of COVID-19 principally responsible for morbidity and mortality, myocardial inflammation and systolic dysfunction though uncommon are well-recognized features that also associate with adverse prognosis. …

An Fmri Protocol For Administering Liquid Incentives To Human Participants, Debbie M Yee, Jennifer L Crawford, Todd S Braver

2020-Current year OA Pubs

This protocol describes the materials and approaches for administering liquid incentives to human participants during fMRI scanning. We first describe preparation of the liquid solutions (e.g., neutral solution and saltwater) and liquid delivery setups. We then detail steps to connect the setups to the computer-controlled syringe pump in the MRI control room, followed by procedures for testing the syringe pump dispensing a liquid bolus during the task. Description of custom software and required adapters for implementing the liquid setup are included. For complete details on the use and execution of this protocol, please refer to Yee et al. (2021).

Mild Hypoxic-Ischemic Encephalopathy (Hie): Timing And Pattern Of Mri Brain Injury, Yi Li, Jessica L Wisnowski, Lina Chalak, Amit M Mathur, Robert C Mckinstry, Genesis Licona, Dennis E Mayock, Taeun Chang, Krisa P Van Meurs, Tai-Wei Wu, Kaashif A Ahmad, Marie-Coralie Cornet, Rakesh Rao, Aaron Scheffler, Yvonne W Wu

2020-Current year OA Pubs

BACKGROUND: Mild hypoxic-ischemic encephalopathy (HIE) is increasingly recognized as a risk factor for neonatal brain injury. We examined the timing and pattern of brain injury in mild HIE.

METHODS: This retrospective cohort study includes infants with mild HIE treated at 9 hospitals. Neonatal brain MRIs were scored by 2 reviewers using a validated classification system, with discrepancies resolved by consensus. Severity and timing of MRI brain injury (i.e., acute, subacute, chronic) was scored on the subset of MRIs that were performed at or before 8 days of age.

RESULTS: Of 142 infants with mild HIE, 87 (61%) had injury on …

Relationship Of Neurite Architecture To Brain Activity During Task-Based Fmri, Christin Schifani, Colin Hawco, Arash Nazeri, Aristotle N Voineskos

2020-Current year OA Pubs

Functional MRI (fMRI) has been widely used to examine changes in neuronal activity during cognitive tasks. Commonly used measures of gray matter macrostructure (e.g., cortical thickness, surface area, volume) do not consistently appear to serve as structural correlates of brain function. In contrast, gray matter microstructure, measured using neurite orientation dispersion and density imaging (NODDI), enables the estimation of indices of neurite density (neurite density index; NDI) and organization (orientation dispersion index; ODI) in gray matter. Our study explored the relationship among neurite architecture, BOLD (blood-oxygen-level-dependent) fMRI, and cognition, using a large sample (n = 750) of young adults of …

Fdg-Pet/Mri For Nonoperative Management Of Rectal Cancer: A Prospective Pilot Study, Semra Ince, Malak Itani, Lauren E Henke, Radhika K Smith, Paul E Wise, Matthew G Mutch, Sean C Glasgow, Matthew L Silviera, Katrina S Pedersen, Steven R Hunt, Hyun Kim, Tyler J Fraum

2020-Current year OA Pubs

Nonoperative management (NOM) is increasingly utilized for rectal cancer patients with a clinical complete response (cCR) following total neoadjuvant therapy (TNT). The objective of this pilot study was to determine whether FDG-PET/MRI alters clinical response assessments among stage I-III rectal cancer patients undergoing TNT followed by NOM, relative to MRI alone. This prospective study included 14 subjects with new rectal cancer diagnoses. Imaging consisted of FDG-PET/MRI for initial staging, post-TNT restaging, and surveillance during NOM. Two independent readers assessed treatment response on MRI followed by FDG-PET/MRI. Inter-reader differences were resolved by consensus review. The reference standard for post-TNT restaging consisted …

Covariance-Based Vs. Correlation-Based Functional Connectivity Dissociates Healthy Aging From Alzheimer Disease, Jeremy F. Strain, Matthew R. Brier, Aaron Tanenbaum, Brian A. Gordon, John E. Mccarthy, Aylin Dincer, Daniel S. Marcus, Richard J. Perrin, John C. Morris, Tammie L. S. Benzinger, Randall J. Bateman, Beau M. Ances, Abraham Z. Snyder, Et Al.

2020-Current year OA Pubs

Prior studies of aging and Alzheimer disease have evaluated resting state functional connectivity (FC) using either seed-based correlation (SBC) or independent component analysis (ICA), with a focus on particular functional systems. SBC and ICA both are insensitive to differences in signal amplitude. At the same time, accumulating evidence indicates that the amplitude of spontaneous BOLD signal fluctuations is physiologically meaningful. We systematically compared covariance-based FC, which is sensitive to amplitude, vs. correlation-based FC, which is not, in affected individuals and controls drawn from two cohorts of participants including autosomal dominant Alzheimer disease (ADAD), late onset Alzheimer disease (LOAD), and age-matched …

Quantification Of Sulcal Emergence Timing And Its Variability In Early Fetal Life: Hemispheric Asymmetry And Sex Difference, Hyuk Jin Yun, Hyun Ju Lee, Joo Young Lee, Tomo Tarui, Caitlin K. Rollins, Cynthia M. Ortinau, Henry A. Feldman, P. Ellen Grant, Kiho Im

2020-Current year OA Pubs

Human fetal brains show regionally different temporal patterns of sulcal emergence following a regular timeline, which may be associated with spatiotemporal patterns of gene expression among cortical regions. This study aims to quantify the timing of sulcal emergence and its temporal variability across typically developing fetuses by fitting a logistic curve to presence or absence of sulcus. We found that the sulcal emergence started from the central to the temporo-parieto-occipital lobes and frontal lobe, and the temporal variability of emergence in most of the sulci was similar between 1 and 2 weeks. Small variability (< 1 week) was found in the left central and postcentral sulci and larger variability (>2 weeks) was shown in …

A Comparison Of Methods To Harmonize Cortical Thickness Measurements Across Scanners And Sites, Delin Sun, Evan Gordon, Et Al.

2020-Current year OA Pubs

Results of neuroimaging datasets aggregated from multiple sites may be biased by site-specific profiles in participants' demographic and clinical characteristics, as well as MRI acquisition protocols and scanning platforms. We compared the impact of four different harmonization methods on results obtained from analyses of cortical thickness data: (1) linear mixed-effects model (LME) that models site-specific random intercepts (LME

Brain Volume In Chronic Ketamine Users - Relationship To Sub-Threshold Psychotic Symptoms And Relevance To Schizophrenia, Robert A Chesters, Fiona Pepper, Celia Morgan, Jonathan D Cooper, Oliver D Howes, Anthony C Vernon, James M Stone

2020-Current year OA Pubs

RATIONALE: Ketamine may model aspects of schizophrenia arising through NMDA receptor activity deficits. Although acute ketamine can induce effects resembling both positive and negative psychotic symptoms, chronic use may be a closer model of idiopathic psychosis.

OBJECTIVES: We tested the hypotheses that ketamine users had lower brain volumes, as measured using MRI, and greater sub-threshold psychotic symptoms relative to a poly-drug user control group.

METHODS: Ketamine users (n = 17) and poly-drug using controls (n = 19) were included in the study. All underwent volumetric MRI imaging and measurement of sub-threshold psychotic symptoms using the Comprehensive Assessment of At-Risk Mental …

Myocardial Infarction Size As An Independent Predictor Of Intramyocardial Haemorrhage In Acute Reperfused Myocardial Ischaemic Rats, Rui Xia, Tong Zhu, Yu Zhang, Bo He, Yushu Chen, Lei Wang, Yang Zhou, Jichun Liao, Jie Zheng, Yongmei Li, Fajin Lv, Fabao Gao

2020-Current year OA Pubs

BACKGROUND: In previous studies, haemorrhage occurred only with large infarct sizes, and studies found a moderate correlation between the extent of necrosis and haemorrhage, but the extent of infarction size in these studies was limited. This study aimed to find the correlations between intramyocardial haemorrhage (IMH), myocardial infarction (MI), and myocardial oedema (ME) from small to large sizes of MI in a 7.0-T MR scanner.

METHODS: Different sizes of myocardial infarction were induced by occluding different sections of the proximal left anterior descending coronary artery (1-3 mm under the left auricle). T2*-mapping, T2-mapping and late gadolinium enhancement (LGE) sequences were …

Bold Cofluctuation 'Events' Are Predicted From Static Functional Connectivity, Zach Ladwig, Benjamin A. Seitzman, Ally Dworetsky, Yuhua Yu, Babatunde Adeyemo, Derek M. Smith, Steven E. Petersen, Caterina Gratton

2020-Current year OA Pubs

Recent work identified single time points ("events") of high regional cofluctuation in functional Magnetic Resonance Imaging (fMRI) which contain more large-scale brain network information than other, low cofluctuation time points. This suggested that events might be a discrete, temporally sparse signal which drives functional connectivity (FC) over the timeseries. However, a different, not yet explored possibility is that network information differences between time points are driven by sampling variability on a constant, static, noisy signal. Using a combination of real and simulated data, we examined the relationship between cofluctuation and network structure and asked if this relationship was unique, or …

Spontaneous Activity Patterns In Human Motor Cortex Replay Evoked Activity Patterns For Hand Movements, Tomer Livne, Dohyun Kim, Nicholas V Metcalf, Lu Zhang, Lorenzo Pini, Gordon L Shulman, Maurizio Corbetta

2020-Current year OA Pubs

Spontaneous brain activity, measured with resting state fMRI (R-fMRI), is correlated among regions that are co-activated by behavioral tasks. It is unclear, however, whether spatial patterns of spontaneous activity within a cortical region correspond to spatial patterns of activity evoked by specific stimuli, actions, or mental states. The current study investigated the hypothesis that spontaneous activity in motor cortex represents motor patterns commonly occurring in daily life. To test this hypothesis 15 healthy participants were scanned while performing four different hand movements. Three movements (Grip, Extend, Pinch) were ecological involving grip and grasp hand movements; one control movement involving the …

Shared Brain And Genetic Architectures Between Mental Health And Physical Activity, Wei Zhang, Sarah E Paul, Anderson Winkler, Ryan Bogdan, Janine D Bijsterbosch

2020-Current year OA Pubs

Physical activity is correlated with, and effectively treats various forms of psychopathology. However, whether biological correlates of physical activity and psychopathology are shared remains unclear. Here, we examined the extent to which the neural and genetic architecture of physical activity and mental health are shared. Using data from the UK Biobank (N = 6389), we applied canonical correlation analysis to estimate associations between the amplitude and connectivity strength of subnetworks of three major neurocognitive networks (default mode, DMN; salience, SN; central executive networks, CEN) with accelerometer-derived measures of physical activity and self-reported mental health measures (primarily of depression, anxiety disorders, …

Evaluating Brain Damage In Multiple Sclerosis With Simultaneous Multi-Angular-Relaxometry Of Tissue, Biao Xiang, Jie Wen, Robert E Schmidt, Alexander L Sukstanskii, Daniel Mamah, Dmitriy A Yablonskiy, Anne H Cross

2020-Current year OA Pubs

OBJECTIVE: Multiple sclerosis (MS) is a common demyelinating central nervous system disease. MRI methods that can quantify myelin loss are needed for trials of putative remyelinating agents. Quantitative magnetization transfer MRI introduced the macromolecule proton fraction (MPF), which correlates with myelin concentration. We developed an alternative approach, Simultaneous-Multi-Angular-Relaxometry-of-Tissue (SMART) MRI, to generate MPF. Our objective was to test SMART-derived MPF metric as a potential imaging biomarker of demyelination.

METHODS: Twenty healthy control (HC), 11 relapsing-remitting MS (RRMS), 22 progressive MS (PMS), and one subject with a biopsied tumefactive demyelinating lesion were scanned at 3T using SMART MRI. SMART-derived MPF metric …

Blood-Brain Barrier Opening In A Large Animal Model Using Closed-Loop Microbubble Cavitation-Based Feedback Control Of Focused Ultrasound Sonication, Chih-Yen Chien, Lu Xu, Christopher Pham Pacia, Yimei Yue, Hong Chen

2020-Current year OA Pubs

Focused ultrasound (FUS) in combination with microbubbles has been established as a promising technique for noninvasive and localized Blood-brain barrier (BBB) opening. Real-time passive cavitation detection (PCD)-based feedback control of the FUS sonication is critical to ensure effective BBB opening without causing hemorrhage. This study evaluated the performance of a closed-loop feedback controller in a porcine model. Calibration of the baseline cavitation level was performed for each targeted brain location by a FUS sonication in the presence of intravenously injected microbubbles at a low acoustic pressure without inducing BBB opening. The target cavitation level (TCL) was defined for each target …

Multimodal Magnetic Resonance Neuroimaging Measures Characteristic Of Early Cart-Treated Pediatric Hiv: A Feature Selection Approach, Isaac L Khobo, Marcin Jankiewicz, Martha J Holmes, Francesca Little, Mark F Cotton, Barbara Laughton, Andre J W Van Der Kouwe, Allison Moreau, Emmanuel Nwosu, Ernesta M Meintjes, Frances C Robertson

2020-Current year OA Pubs

Children with perinatally acquired HIV (CPHIV) have poor cognitive outcomes despite early combination antiretroviral therapy (cART). While CPHIV-related brain alterations can be investigated separately using proton magnetic resonance spectroscopy (

Empirical Transmit Field Bias Correction Of T1w/T2w Myelin Maps, Matthew F. Glasser, Timothy S. Coalson, Michael P. Harms, Junqian Xu, Graham L. Baum, Joonas A. Autio, Edward J. Auerbach, Douglas N. Greve, Essa Yacoub, David C. Van Essen, Nicholas A. Bock, Takuya Hayashi

2020-Current year OA Pubs

T1-weighted divided by T2-weighted (T1w/T2w) myelin maps were initially developed for neuroanatomical analyses such as identifying cortical areas, but they are increasingly used in statistical comparisons across individuals and groups with other variables of interest. Existing T1w/T2w myelin maps contain radiofrequency transmit field (B1+) biases, which may be correlated with these variables of interest, leading to potentially spurious results. Here we propose two empirical methods for correcting these transmit field biases using either explicit measures of the transmit field or alternatively a 'pseudo-transmit' approach that is highly correlated with the transmit field at 3T. We find that the resulting corrected …

Subcortical-Cortical Dynamical States Of The Human Brain And Their Breakdown In Stroke, Chiara Favaretto, Michele Allegra, Gustavo Deco, Nicholas V Metcalf, Joseph C Griffis, Gordon L Shulman, Andrea Brovelli, Maurizio Corbetta

2020-Current year OA Pubs

The mechanisms controlling dynamical patterns in spontaneous brain activity are poorly understood. Here, we provide evidence that cortical dynamics in the ultra-slow frequency range (<0.01-0.1 Hz) requires intact cortical-subcortical communication. Using functional magnetic resonance imaging (fMRI) at rest, we identify Dynamic Functional States (DFSs), transient but recurrent clusters of cortical and subcortical regions synchronizing at ultra-slow frequencies. We observe that shifts in cortical clusters are temporally coincident with shifts in subcortical clusters, with cortical regions flexibly synchronizing with either limbic regions (hippocampus/amygdala), or subcortical nuclei (thalamus/basal ganglia). Focal lesions induced by stroke, especially those damaging white matter connections between basal ganglia/thalamus and cortex, provoke anomalies in the fraction times, dwell times, and transitions between DFSs, causing a bias toward abnormal network integration. Dynamical anomalies observed 2 weeks after stroke recover in time and contribute to explaining neurological impairment and long-term outcome.

Precision Dynamical Mapping Using Topological Data Analysis Reveals A Hub-Like Transition State At Rest, Manish Saggar, James M Shine, Raphaël Liégeois, Nico U F Dosenbach, Damien Fair

2020-Current year OA Pubs

In the absence of external stimuli, neural activity continuously evolves from one configuration to another. Whether these transitions or explorations follow some underlying arrangement or lack a predictable ordered plan remains to be determined. Here, using fMRI data from highly sampled individuals (~5 hours of resting-state data per individual), we aimed to reveal the rules that govern transitions in brain activity at rest. Our Topological Data Analysis based Mapper approach characterized a highly visited transition state of the brain that acts as a switch between different neural configurations to organize the spontaneous brain activity. Further, while the transition state was …

Normal Aging In Mice Is Associated With A Global Reduction In Cortical Spectral Power And Network-Specific Declines In Functional Connectivity, Asher J Albertson, Eric C Landsness, Michelle J Tang, Ping Yan, Hanyang Miao, Zachary P Rosenthal, Byungchan Kim, Joseph C Culver, Adam Q Bauer, Jin-Moo Lee

2020-Current year OA Pubs

Normal aging is associated with a variety of neurologic changes including declines in cognition, memory, and motor activity. These declines correlate with neuronal changes in synaptic structure and function. Degradation of brain network activity and connectivity represents a likely mediator of age-related functional deterioration resulting from these neuronal changes. Human studies have demonstrated both general decreases in spontaneous cortical activity and disruption of cortical networks with aging. Current techniques used to study cerebral network activity are hampered either by limited spatial resolution (e.g. electroencephalography, EEG) or limited temporal resolution (e.g., functional magnetic resonance imaging, fMRI). Here we utilize mesoscale imaging …

Delay Of Gratification Dissociates Cognitive Control And Valuation Brain Regions In Healthy Young Adults, Bidhan Lamichhane, Elisa Di Rosa, Todd S Braver

2020-Current year OA Pubs

Delay of gratification (DofG) refers to an inter-temporal choice phenomenon that is of great interest in many domains, including animal learning, cognitive development, economic decision-making, and executive control. Yet experimental tools for investigating DofG in human adults are almost non-existent, and as a consequence, very little is known regarding the brain basis of core DofG behaviors. Here, we utilize a novel DofG paradigm, adapted for use in neuroimaging contexts, to examine event-related changes in neural activity as healthy young adult participants made repeated choices to continue waiting for a delayed reward, rather than take an immediately available one of lesser …

Structural Covariance Of The Ventral Visual Stream Predicts Posttraumatic Intrusion And Nightmare Symptoms: A Multivariate Data Fusion Analysis, Nathaniel G Harnett, Stacey L House, Et Al

2020-Current year OA Pubs

Visual components of trauma memories are often vividly re-experienced by survivors with deleterious consequences for normal function. Neuroimaging research on trauma has primarily focused on threat-processing circuitry as core to trauma-related dysfunction. Conversely, limited attention has been given to visual circuitry which may be particularly relevant to posttraumatic stress disorder (PTSD). Prior work suggests that the ventral visual stream is directly related to the cognitive and affective disturbances observed in PTSD and may be predictive of later symptom expression. The present study used multimodal magnetic resonance imaging data (n = 278) collected two weeks after trauma exposure from the AURORA …

Snmmi/Acr/Asnc/Scmr Joint Credentialing Statement For Cardiac Pet/Mri: Endorsed By The American Heart Association, Terrence D Ruddy, Mouaz Al-Mallah, James A Arrighi, John P Bois, David A Bluemke, Marcelo F Di Carli, Vasken Dilsizian, Robert J Gropler, Hossein Jadvar, Saurabh Malhotra, Matthier Pelletier-Galarneau, Thomas H Schindler, Pamela K Woodard, Panithaya Chareonthaitawee

2020-Current year OA Pubs

No abstract provided.

Resting-State Functional Connectivity Identifies Individuals And Predicts Age In 8-To-26-Month-Olds, Omid Kardan, Sydney Kaplan, Muriah D. Wheelock, Dominique Meyer, Adam T. Eggebrecht, Christopher D. Smyser, Et Al.

2020-Current year OA Pubs

Resting-state functional connectivity (rsFC) measured with fMRI has been used to characterize functional brain maturation in typically and atypically developing children and adults. However, its reliability and utility for predicting development in infants and toddlers is less well understood. Here, we use fMRI data from the Baby Connectome Project study to measure the reliability and uniqueness of rsFC in infants and toddlers and predict age in this sample (8-to-26 months old; n = 170). We observed medium reliability for within-session infant rsFC in our sample, and found that individual infant and toddler's connectomes were sufficiently distinct for successful functional connectome …

Predicting Brain Age From Functional Connectivity In Symptomatic And Preclinical Alzheimer Disease, Peter R. Millar, Patrick H. Luckett, Brian A. Gordon, Tammie L. S. Benzinger, Suzanne E. Schindler, Anne M. Fagan, Carlos Cruchaga, Randall J. Bateman, Ricardo Allegri, Mathias Jucker, Jae-Hong Lee, Hiroshi Mori, Stephen P. Salloway, Igor Yakushev, John C. Morris, Beau M. Ances, Dominantly Inherited Alzheimer Network

2020-Current year OA Pubs

"Brain-predicted age" quantifies apparent brain age compared to normative neuroimaging trajectories. Advanced brain-predicted age has been well established in symptomatic Alzheimer disease (AD), but is underexplored in preclinical AD. Prior brain-predicted age studies have typically used structural MRI, but resting-state functional connectivity (FC) remains underexplored. Our model predicted age from FC in 391 cognitively normal, amyloid-negative controls (ages 18-89). We applied the trained model to 145 amyloid-negative, 151 preclinical AD, and 156 symptomatic AD participants to test group differences. The model accurately predicted age in the training set. FC-predicted brain age gaps (FC-BAG) were significantly older in symptomatic AD and …

The University Of Pennsylvania Glioblastoma (Upenn-Gbm) Cohort: Advanced Mri, Clinical, Genomics, & Radiomics, Spyridon Bakas, Aristeidis Sotiras, Sung Min Ha, Et Al

2020-Current year OA Pubs

Glioblastoma is the most common aggressive adult brain tumor. Numerous studies have reported results from either private institutional data or publicly available datasets. However, current public datasets are limited in terms of: a) number of subjects, b) lack of consistent acquisition protocol, c) data quality, or d) accompanying clinical, demographic, and molecular information. Toward alleviating these limitations, we contribute the "University of Pennsylvania Glioblastoma Imaging, Genomics, and Radiomics" (UPenn-GBM) dataset, which describes the currently largest publicly available comprehensive collection of 630 patients diagnosed with de novo glioblastoma. The UPenn-GBM dataset includes (a) advanced multi-parametric magnetic resonance imaging scans acquired during …

Graded Variation In T1w/T2w Ratio During Adolescence: Measurement, Caveats, And Implications For Development Of Cortical Myelin, Graham L Baum, John C Flournoy, Matthew F Glasser, Michael P Harms, Patrick Mair, Ashley F P Sanders, Deanna M Barch, Randy L Buckner, Susan Bookheimer, Mirella Dapretto, Stephen Smith, Kathleen M Thomas, Essa Yacoub, David C Van Essen, Leah H Somerville

2020-Current year OA Pubs

Adolescence is characterized by the maturation of cortical microstructure and connectivity supporting complex cognition and behavior. Axonal myelination influences brain connectivity during development by enhancing neural signaling speed and inhibiting plasticity. However, the maturational timing of cortical myelination during human adolescence remains poorly understood. Here, we take advantage of recent advances in high-resolution cortical T1w/T2w mapping methods, including principled correction of B1+ transmit field effects, using data from the Human Connectome Project in Development (HCP-D;

Snmmi/Acr/Asnc/Scmr Joint Credentialing Statement For Cardiac Pet/Mri, Terrence D Ruddy, Mouaz Al-Mallah, James A Arrighi, John P Bois, David A Bluemke, Marcelo F Di Carli, Vasken Dilsizian, Robert J Gropler, Hossein Jadvar, Saurabh Malhotra, Matthieu Pelletier-Galarneau, Thomas H Schindler, Pamela K Woodard, Panithaya Chareonthaitawee

2020-Current year OA Pubs

No abstract provided.