John Kruper

ORCID: 0000-0003-0081-391X
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About
Contact & Profiles
Research Areas
  • Advanced Neuroimaging Techniques and Applications
  • Advanced MRI Techniques and Applications
  • Functional Brain Connectivity Studies
  • Neonatal and fetal brain pathology
  • Neural dynamics and brain function
  • MRI in cancer diagnosis
  • Astrophysical Phenomena and Observations
  • Retinal Imaging and Analysis
  • Visual perception and processing mechanisms
  • Fetal and Pediatric Neurological Disorders
  • Glaucoma and retinal disorders
  • Astronomy and Astrophysical Research
  • Particle Accelerators and Free-Electron Lasers
  • Astrophysics and Cosmic Phenomena
  • Reading and Literacy Development
  • Particle physics theoretical and experimental studies
  • High-Energy Particle Collisions Research
  • Cryospheric studies and observations
  • Quantum Chromodynamics and Particle Interactions
  • Hearing, Cochlea, Tinnitus, Genetics
  • Educational and Psychological Assessments
  • Artificial Intelligence in Healthcare
  • Radiomics and Machine Learning in Medical Imaging
  • Photoacoustic and Ultrasonic Imaging
  • Particle Detector Development and Performance

University of Washington
2021-2025

Seattle University
2023

University of Chicago
1988

IIT@MIT
1984

Herpes simplex virus (HSV) virions contain one or more functions which mediate the shutoff of host protein synthesis and degradation mRNA. HSV type 1 (HSV-1) mutants deficient in virion (vhs mutants) were isolated found to be defective their ability degrade Furthermore, it was that viral mRNAs cells infected with vhs mutant have a significantly longer functional half-life than wild-type virus-infected cells. In present study we mapped vhs1 mutation affecting 265-base-pair NruI-XmaIII...

10.1128/jvi.62.3.912-921.1988 article EN Journal of Virology 1988-03-01

Cross-sectional studies have linked differences in white matter tissue properties to reading skills. However, past reported a range of, sometimes conflicting, results. Some suggest that act as individual-level traits predictive of skill, whereas others skill and develop function an individual's educational experience. In the present study, we tested two hypotheses: a) diffusion reflect stable brain characteristics relate individual ability or b) is dynamic system, with learning over time. To...

10.1016/j.dcn.2024.101341 article EN cc-by-nc-nd Developmental Cognitive Neuroscience 2024-01-06

Diffusion-weighted magnetic resonance imaging (dMRI) measurements and models provide information about brain connectivity are sensitive to the physical properties of tissue microstructure. Diffusional Kurtosis Imaging (DKI) quantifies degree non-Gaussian diffusion in biological from dMRI. These estimates interest because they were shown be more microstructural alterations health diseases than measures based on total anisotropy which highly confounded by dispersion fiber crossings. In this...

10.3389/fnhum.2021.675433 article EN cc-by Frontiers in Human Neuroscience 2021-07-19

The validity of research results depends on the reliability analysis methods. In recent years, there have been concerns about that uses diffusion-weighted MRI (dMRI) to understand human brain white matter connections in vivo, part based methods used this field. We defined and assessed three dimensions dMRI-based tractometry, an technique assesses physical properties pathways: (1) reproducibility, (2) test-retest reliability, (3) robustness. To facilitate we provide software automates...

10.52294/e6198273-b8e3-4b63-babb-6e6b0da10669 article EN cc-by Aperture Neuro 2021-11-17

Abstract Background Sensory changes due to aging or disease can impact brain tissue. This study aims investigate the link between glaucoma, a leading cause of blindness, and alterations in connections. Methods We analyzed diffusion MRI measurements white matter tissue large group, consisting 905 glaucoma patients (aged 49-80) 5292 healthy individuals 45-80) from UK Biobank. Confounds group differences were mitigated by matching sub-sample controls subjects. compared classification using...

10.1038/s43856-024-00496-w article EN cc-by Communications Medicine 2024-04-11

The formation of myelin, the fatty sheath that insulates nerve fibers, is critical for healthy brain function. A fundamental open question what impact being born has on myelin growth. To address this, we evaluated a large ( n = 300) cross-sectional sample newborns from Developing Human Connectome Project (dHCP). First, developed software automated identification 20 white matter bundles in individual well suited samples. Next, fit linear models quantify how T1w/T2w (a myelin-sensitive imaging...

10.1073/pnas.2303491120 article EN cc-by-nc-nd Proceedings of the National Academy of Sciences 2023-08-07

view Abstract Citations (94) References (31) Co-Reads Similar Papers Volume Content Graphics Metrics Export Citation NASA/ADS A sharp X-ray absorption feature in the BL Lacertae object PKS 2155-304. Canizares, C. R. ; Kruper, J. An appears at 600 eV and extends to higher energies by 50 - 100 a spectrum that covers range from 0.38 1.6 keV obtained with objective grating spectrometer on Einstein Observatory. The can be fitted single edge or trough plus two power laws slopes are consistent...

10.1086/184233 article EN The Astrophysical Journal 1984-03-01

Reading is a cognitive skill that requires our brain to go through myriad of changes during learning. While many studies have described how reading acquisition shapes children's function, less known about the impact on structure. Here we examined short-term causal effects training preschoolers' behavior and white matter Forty-eight English-speaking preschoolers (4y10m 6y2m) participated in randomized controlled trial where they were randomly assigned two programs: Letter program was focused...

10.1371/journal.pone.0309574 article EN PubMed 2025-01-01

With the great promise of deep learning, discoveries new particles at Large Hadron Collider (LHC) may be imminent. Following discovery a Beyond Standard model particle in an all-hadronic channel, learning can also used to identify its quantum numbers. Convolutional neural networks (CNNs) using jet-images significantly improve upon existing techniques chromodynamic (QCD) (‘color’) as well spin two-prong resonance substructure. Additionally, are useful determining what information jet...

10.21468/scipostphyscore.8.2.039 article EN cc-by SciPost Physics Core 2025-04-28
Adam Richie-Halford Matthew Cieslak Lei Ai Sendy Caffarra Sydney Covitz and 95 more Alexandre R. Franco Iliana I. Karipidis John Kruper Michael P. Milham Bárbara Avelar‐Pereira Ethan Roy Valerie J. Sydnor Jason D. Yeatman Nicholas J. Abbott John A. E. Anderson B. Gagana MaryLena Bleile Peter S. Bloomfield Vince Bottom Josiane Bourque Rory Boyle Julia K. Brynildsen Navona Calarco Jaime J. Castrellon Natasha Chaku Bosi Chen Sidhant Chopra Emily B. J. Coffey Nigel Colenbier Daniel Cox James Elliott Crippen Jacob J. Crouse Szabolcs Dávid Benjamin De Leener Gwyneth Delap Zhi‐De Deng Jules R. Dugré Anders Eklund Kirsten Ellis Arielle Ered Harry Farmer Joshua Faskowitz Jody E. Finch Guillaume Flandin Matthew W. Flounders Leon Fonville Summer Frandsen Dea Garic Patricia Garrido-Vásquez Gabriel González‐Escamilla Shannon E. Grogans Mareike Grotheer David C. Gruskin Guido I. Guberman Edda B. Haggerty Younghee Hahn Elizabeth H. Hall Jamie L. Hanson Yann Harel Bruno Hebling Vieira Meike D. Hettwer Harriet Hobday Corey Horien Fan Huang Zeeshan M. Huque Anthony R. James Isabella Kahhalé Sarah L. H. Kamhout Arielle S. Keller Harmandeep Singh Khera Gregory Kiar Peter Alexander Kirk Simon H. Kohl Stephanie A. Korenic Cole Korponay Alyssa K. Kozlowski Nevena Kraljević Alberto Lazari Mackenzie J. Leavitt Zhaolong Li Giulia Liberati Elizabeth S. Lorenc Annabelle Julina Lossin Leon D. Lotter David M. Lydon‐Staley Christopher R. Madan Neville Magielse Hilary A. Marusak Julien Mayor Amanda L. McGowan Kahini Mehta Steven L. Meisler Cleanthis Michael Mackenzie E. Mitchell Simon Morand‐Beaulieu Benjamin T. Newman Jared A. Nielsen Shane M. O’Mara Amar Ojha Adam Omary

We created a set of resources to enable research based on openly-available diffusion MRI (dMRI) data from the Healthy Brain Network (HBN) study. First, we curated HBN dMRI (N = 2747) into Imaging Data Structure and preprocessed it according best-practices, including denoising correcting for motion effects, susceptibility-related distortions, eddy currents. Preprocessed, analysis-ready was made openly available. quality plays key role in analysis dMRI. To optimize QC scale this large dataset,...

10.1038/s41597-022-01695-7 article EN cc-by Scientific Data 2022-10-12

The validity of research results depends on the reliability analysis methods. In recent years, there have been concerns about that uses diffusion-weighted MRI (dMRI) to understand human brain white matter connections in vivo , part based methods used this field. We defined and assessed three dimensions dMRI-based tractometry, an technique assesses physical properties pathways: (1) reproducibility, (2) test-retest (3) robustness. To facilitate we provide software automates tractometry (...

10.1101/2021.02.24.432740 preprint EN cc-by bioRxiv (Cold Spring Harbor Laboratory) 2021-02-24

The latency of neural responses in the visual cortex changes systematically across lifespan. Here, we test hypothesis that development white matter pathways mediates maturational signals. Thirty-eight children participated a cross-sectional study including diffusion magnetic resonance imaging (MRI) and magnetoencephalography (MEG) sessions. During MEG acquisition, participants performed lexical decision fixation task on words presented at varying levels contrast noise. For all stimuli tasks,...

10.1002/hbm.25654 article EN cc-by-nc-nd Human Brain Mapping 2021-09-06

Diffusion-weighted MRI (dMRI) provides a unique non-invasive view of human brain tissue properties. The present review article focuses on tractometry analysis methods that use dMRI to assess the properties within long-range connections comprising networks. We focus specifically major white matter tracts convey visual information. These are particularly important because vision rich information from environment supports large range daily life activities. Many diseases system associated with...

10.2463/mrms.rev.2024-0007 article EN cc-by-nc-nd Magnetic Resonance in Medical Sciences 2024-01-01

Introduction The Human Connectome Project (HCP) has become a keystone dataset in human neuroscience, with plethora of important applications advancing brain imaging methods and an understanding the brain. We focused on tractometry HCP diffusion-weighted MRI (dMRI) data. Methods used open-source software library (pyAFQ; https://yeatmanlab.github.io/pyAFQ ) to perform probabilistic tractography delineate major white matter pathways subjects that have complete dMRI acquisition ( n = 1,041)....

10.3389/fnins.2024.1389680 article EN cc-by Frontiers in Neuroscience 2024-06-12

The neural pathways that carry information from the foveal, macular, and peripheral visual fields have distinct biological properties. optic radiations (OR) foveal thalamus to primary cortex (V1) through adjacent but separate in white matter. Here, we perform matter tractometry using pyAFQ on a large sample of diffusion MRI (dMRI) data subjects with healthy vision U.K. Biobank dataset (UKBB; N = 5382; age 45-81). We use characterize tissue properties parts OR transmit about fields, changes...

10.1002/hbm.26267 article EN cc-by Human Brain Mapping 2023-03-10

Abstract We created resources to facilitate research on the role of human brain microstructure in development mental health disorders, based openly-available diffusion MRI (dMRI) data from Healthy Brain Network (HBN) study. First, we curated HBN dMRI (N=2747) into Imaging Data Structure and preprocessed it according best-practices, including denoising correcting for motion effects, susceptibility-related distortions, eddy currents. Preprocessed, analysis-ready was made openly available....

10.1101/2022.02.24.481303 preprint EN cc-by bioRxiv (Cold Spring Harbor Laboratory) 2022-02-25

Alpha is the strongest electrophysiological rhythm in awake humans at rest. Despite its predominance EEG signal, large variations can be observed alpha properties during development, with an increase frequency over childhood and adulthood. Here, we tested hypothesis that these changes are related to maturation of visual white matter pathways. We capitalized on a diffusion MRI (dMRI)-EEG dataset (dMRI

10.1523/jneurosci.0684-23.2023 article EN cc-by-nc-sa Journal of Neuroscience 2023-12-14

The formation of myelin, the fatty sheath that insulates nerve fibers, is critical for healthy brain function. A fundamental open question what impact being born on myelin growth. To address this question, we evaluated a large (n=300) cross-sectional sample newborns from Developing Human Connectome Project (dHCP). First, developed new software automated identification 20 white matter bundles in individuals well-suited samples. Next, fit linear models quantify T1w/T2w, myelin-sensitive...

10.1101/2023.03.02.530800 preprint EN cc-by-nc-nd bioRxiv (Cold Spring Harbor Laboratory) 2023-03-02

Abstract Cross-sectional studies have linked differences in white matter tissue properties to reading skills. However, past reported a range of, sometimes conflicting, results. Some suggest that act as individual-level traits predictive of skill, whereas others skill and develop function an individual’s educational experience. In the present study, we tested two hypotheses: a) diffusion reflect stable brain characteristics relate skills over development or b) is dynamic system, with learning...

10.1101/2022.06.21.497048 preprint EN cc-by-nc-nd bioRxiv (Cold Spring Harbor Laboratory) 2022-06-25

Abstract Changes in sensory input with aging and disease affect brain tissue properties. To establish the link between glaucoma, most prevalent cause of irreversible blindness, changes major connections, we characterized white matter properties diffusion MRI measurements a large sample subjects glaucoma (N=905; age 49-80) healthy controls (N=5,292; 45-80) from UK Biobank. Confounds due to group differences were mitigated by matching sub-sample subjects. A convolutional neural network (CNN)...

10.1101/2023.01.17.524459 preprint EN cc-by bioRxiv (Cold Spring Harbor Laboratory) 2023-01-20

With the great promise of deep learning, discoveries new particles at Large Hadron Collider (LHC) may be imminent. Following discovery a Beyond Standard model particle in an all-hadronic channel, learning can also used to identify its quantum numbers. Convolutional neural networks (CNNs) using jet-images significantly improve upon existing techniques chromodynamic (QCD) (`color') as well spin two-prong resonance substructure. Additionally, are useful determining what information jet...

10.48550/arxiv.2105.04582 preprint EN cc-by arXiv (Cornell University) 2021-01-01

Abstract Reading is a cognitive skill that requires our brain to go through myriad of changes during learning. While many studies have described how reading acquisition shapes children’s function, less known about the impact on structure. Here we examined short-term causal effects training preschoolers’ behavior and white matter Forty-eight English-speaking preschoolers (4y10m 6y2m) participated in randomized controlled trial where they were randomly assigned two programs: Letter program was...

10.1101/2024.08.16.608210 preprint EN cc-by bioRxiv (Cold Spring Harbor Laboratory) 2024-08-16

ABSTRACT Diffusion-weighted magnetic resonance imaging (dMRI) measurements and models provide information about brain connectivity are sensitive to the physical properties of tissue microstructure. Diffusional Kurtosis Imaging (DKI) quantifies degree non-Gaussian diffusion in biological from dMRI. These estimates interest because they were shown be more microstructural alterations health diseases than measures based on total anisotropy which highly confounded by dispersion fiber crossings....

10.1101/2021.03.04.433972 preprint EN cc-by bioRxiv (Cold Spring Harbor Laboratory) 2021-03-05
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