Article
Radiology, Nuclear Medicine & Medical Imaging
Kritisha Rajlawot, Ting Jiang, Jing Zhou, ChuRong Lin, Sichi Kuang, Jingbiao Chen, Yao Zhang, Hao Yang, Ying Deng, Bingjun He, Diego Hernando, Scott B. Reeder, Jin Wang
Summary: The study compared the diagnostic accuracy of intratumoral fat in HCC using CSE-MRI and IOP imaging sequences, showing that IOP had higher sensitivity while CSE-MRI had higher specificity. The combined use of IOP and CSE-MRI at FA 8 degrees demonstrated the highest AUC and accuracy.
JOURNAL OF MAGNETIC RESONANCE IMAGING
(2021)
Article
Neurosciences
David Bancelin, Beata Bachrata, Saskia Bollmann, Pedro de Lima Cardoso, Pavol Szomolanyi, Siegfried Trattnig, Simon Daniel Robinson
Summary: Respiration and cardiac fluctuations are the main sources of noise in blood oxygen level-dependent functional magnetic resonance imaging (fMRI). We have developed an unsupervised physiological noise correction method, named PREPAIR, which uses phase and magnitude information to capture and remove physiological noise. Experimental results show that this method effectively removes noise and recovers physiological signals.
HUMAN BRAIN MAPPING
(2023)
Article
Engineering, Environmental
Yunlong Luo, Christopher T. Gibson, Clarence Chuah, Youhong Tang, Ravi Naidu, Cheng Fang
Summary: This study successfully visualizes microplastics and nanoplastics released from trimmer lines using Raman imaging, and provides a method for capturing and identifying these plastics with increased signal-noise ratio.
JOURNAL OF HAZARDOUS MATERIALS
(2022)
Article
Neurosciences
Michalis Kassinopoulos, Georgios D. Mitsis
Summary: This study focuses on the confounds of cardiac pulsatility in fMRI and proposes a new technique called cardiac pulsatility model (CPM) based on convolution filtering, which outperforms the commonly used technique Card-RETROICOR in explaining fMRI signal variance. PPG-Amp is found to explain significant variance in the fMRI global signal.
Article
Acoustics
Emelina P. Vienneau, Kathryn A. Ozgun, Brett C. Byram
Summary: Thermal noise and acoustic clutter degrade ultrasonic image quality and cannot be separately measured in vivo. We derived and validated a method to quantify the individual contributions of thermal noise and acoustic clutter to image degradation by leveraging coherence characteristics.
IEEE TRANSACTIONS ON ULTRASONICS FERROELECTRICS AND FREQUENCY CONTROL
(2022)
Article
Chemistry, Multidisciplinary
Yongkang Yue, Tingting Zhao, Zhou Xu, Weijie Chi, Xiaojun Chai, Jiahong Ai, Jiawei Zhang, Fangjun Huo, Robert. M. M. Strongin, Caixia Yin
Summary: A new NIR fluorescent dye Cy-Mu-7 with enhanced Stokes shift and fluorescence signals was reported. It was utilized for ultra-fast in vivo kidney labeling and monitoring of liver injury's impact on kidney burden. Moreover, it could be used for monitoring fluctuations in endogenous H2O2 levels in emergency situations.
Article
Neurosciences
Maxwell Shinn, Amber Hu, Laurel Turner, Stephanie Noble, Katrin H. Preller, Jie Lisa Ji, Flora Moujaes, Sophie Achard, Dustin Scheinost, R. Todd Constable, John H. Krystal, Franz X. Vollenweider, Daeyeol Lee, Alan Anticevic, Edward T. Bullmore, John D. Murray
Summary: High-throughput experimental methods in neuroscience have led to a surge in techniques for measuring complex interactions and multi-dimensional patterns. However, it is unclear whether these sophisticated measures can be traced back to simpler low-dimensional statistics. In this study, we examined rs-fMRI data using complex topology measures from network neuroscience, and found that spatial and temporal autocorrelation serve as reliable statistics that explain various network topology measures. These findings have important implications for understanding neurobiology and could help establish a connection between complexity measures and brain function.
NATURE NEUROSCIENCE
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Amos A. Cao, Douglas C. Noll
Summary: The study developed a retrospective denoising method leveraging OSSI signal properties, which outperformed the standard method in all metrics. F-OSSCOR method showed similar performance to the standard method using an equal number of principal components, while increasing activation strength.
MAGNETIC RESONANCE IN MEDICINE
(2021)
Article
Physics, Multidisciplinary
S. T. Chui, Zhifang Lin, Zian Ji
Summary: We demonstrate the concept of resonance in noise through the example of current induced by an external electromagnetic field and noise current in split ring resonators. Both the signal and noise show resonances at the same frequencies, but their ratio varies with frequency and external driving field. This unexpected result suggests that the signal to noise ratio is not solely determined by the resonance frequency, highlighting the need for further research to improve device design.
Article
Multidisciplinary Sciences
Luca Vizioli, Steen Moeller, Logan Dowdle, Mehmet Akcakaya, Federico De Martino, Essa Yacoub, Kamil Ugurbil
Summary: The study introduces a denoising technique that improves key metrics of fMRI experiments while leaving other parameters unchanged. This method enables the acquisition of ultrahigh resolution functional maps and is beneficial for a variety of fMRI applications.
NATURE COMMUNICATIONS
(2021)
Article
Materials Science, Multidisciplinary
Hongmei Li, Yiping Cao, Yingying Wan, Cai Xu, Hechen Zhang, Haihua An, Haitao Wu
Summary: Temporal phase unwrapping (TPU) is commonly used in laser white-light phase-shifting profilometry, but it faces limitations such as restricted gray-scale range and intensity noise. To address these issues, a SETPU method using video grating projection is proposed, and its effectiveness and practicality are demonstrated through experiments.
RESULTS IN PHYSICS
(2022)
Article
Physics, Multidisciplinary
Gianlorenzo Massaro, Giovanni Scala, Milena D'Angelo, Francesco Pepe
Summary: Correlation plenoptic imaging (CPI) is a scanning-free 3D optical imaging technique that exploits the properties of correlated light sources. It has been extended to microscopy with the modified architecture called correlation light-field microscopy (CLM), which provides significantly improved noise performance and faster acquisition compared to the original CPI setup.
EUROPEAN PHYSICAL JOURNAL PLUS
(2022)
Article
Biophysics
Xun Lu, Seongmin Lee, Jun Kim, Naseem Abbas, Mohsin Ali Badshah, Seok-min Kim
Summary: A selective fabrication method of Ag nanorods on the microcolumn structure using the GLAD process was proposed to enhance the signal-to-background noise ratio of the metal-enhanced fluorescence substrate.
BIOSENSORS & BIOELECTRONICS
(2021)
Article
Environmental Sciences
Yunlong Luo, Fangjie Qi, Christopher T. Gibson, Yongjia Lei, Cheng Fang
Summary: This research utilizes Raman imaging to characterize microplastics and nanoplastics released from a dish sponge, identifying the particles as mainly Nylon PA6 and polyethylene terephthalate. The use of principal component analysis enhances the signal-noise ratio and enables reliable capture and visualization of released microplastics and nanoplastics.
SCIENCE OF THE TOTAL ENVIRONMENT
(2022)
Article
Physics, Multidisciplinary
Rui Li, Jiaying Hong, Xi Zhou, Chengming Wang, Zhengyu Chen, Bin He, Zhangwei Hu, Ning Zhang, Qin Li, Ping Xue, Xiao Zhang
Summary: Fourier single-pixel imaging utilizes Fourier transform principles to acquire and reconstruct images, without the need for detector arrays, achieving a high signal-to-noise ratio up to N times the dynamic range. This technique presents a significant improvement over traditional imaging methods.
NEW JOURNAL OF PHYSICS
(2021)
Editorial Material
Neurosciences
Javier Gonzalez-Castillo, Peter A. Bandettini
Article
Multidisciplinary Sciences
Javier Gonzalez-Castillo, Colin W. Hoy, Daniel A. Handwerker, Meghan E. Robinson, Laura C. Buchanan, Ziad S. Saad, Peter A. Bandettini
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
(2015)
Article
Neurosciences
Javier Gonzalez-Castillo, Puja Panwar, Laura C. Buchanan, Cesar Caballero-Gaudes, Daniel A. Handwerker, David C. Jangraw, Valentinos Zachariou, Souheil Inati, Vinai Roopchansingh, John A. Derbyshire, Peter A. Bandettini
Review
Neurosciences
Hua Xie, Vince D. Calhoun, Javier Gonzalez-Castillo, Eswar Damaraju, Robyn Miller, Peter A. Bandettini, Sunanda Mitra
Article
Neurosciences
Javier Gonzalez-Castillo, Gang Chen, Thomas E. Nichol, Peter A. Bandettini
Review
Neurosciences
Javier Gonzalez-Castillo, Peter A. Bandettini
Article
Neurosciences
Laurentius Huber, Daniel A. Handwerker, David C. Jangraw, Gang Chen, Andrew Hall, Carsten Stuber, Javier Gonzalez-Castillo, Dimo Ivanov, Sean Marrett, Maria Guidi, Jozien Goense, Benedikt A. Poser, Peter A. Bandettini
Article
Neurosciences
David C. Jangraw, Javier Gonzalez-Castillo, Daniel A. Handwerker, Merage Ghane, Monica D. Rosenberg, Puja Panwar, Peter A. Bandettini
Article
Neurosciences
Javier Gonzalez-Castillo, Colin W. Hoy, Daniel A. Handwerker, Vinai Roopchansingh, Souheil J. Inati, Ziad S. Saad, Robert W. Cox, Peter A. Bandettini
Article
Neurosciences
Javier Gonzalez-Castillo, Julia W. Y. Kam, Colin W. Hoy, Peter A. Bandettini
Summary: Resting-state fMRI reveals brain dynamics in an unconstrained environment where subjects let their minds wander freely, navigating a rich space of cognitive and perceptual states. How ongoing experience influences rsfMRI summary metrics is unclear, but may uniquely contribute to differences within and between subjects. To understand this influence, standardized, temporally resolved, scientifically validated first-person descriptions of experiences are necessary.
JOURNAL OF NEUROSCIENCE
(2021)
Editorial Material
Neurosciences
Remi Gau, Stephanie Noble, Katja Heuer, Katherine L. Bottenhorn, Isil P. Bilgin, Yu-Fang Yang, Julia M. Huntenburg, Johanna M. M. Bayer, Richard A. I. Bethlehem, Shawn A. Rhoads, Christoph Vogelbacher, Valentina Borghesani, Elizabeth Levitis, Hao-Ting Wang, Sofie Van den Bossche, Xenia Kobeleva, Jon Haitz Legarreta, Samuel Guay, Selim Melvin Atay, Gael P. Varoquaux, Dorien C. Huijser, Malin S. Sandstrom, Peer Herholz, Samuel A. Nastase, AmanPreet Badhwar, Guillaume Dumas, Simon Schwab, Stefano Moia, Michael Dayan, Yasmine Bassil, Paula P. Brooks, Matteo Mancini, James M. Shine, David O'Connor, Xihe Xie, Davide Poggiali, Patrick Friedrich, Anibal S. Heinsfeld, Lydia Riedl, Roberto Toro, Cesar Caballero-Gaudes, Anders Eklund, Kelly G. Garner, Christopher R. Nolan, Damion V. Demeter, Fernando A. Barrios, Junaid S. Merchant, Elizabeth A. McDevitt, Robert Oostenveld, R. Cameron Craddock, Ariel Rokem, Andrew Doyle, Satrajit S. Ghosh, Aki Nikolaidis, Olivia W. Stanley, Eneko Urunuela
Summary: Brainhack is an innovative meeting format that promotes scientific collaboration and education in an open, inclusive environment, complementing conventional formats to augment scientific progress.
Editorial Material
Neurosciences
Javier Gonzalez-Castillo
Summary: The authors propose a new framework for studying the natural wanderings of the living brain, based on geophysical concepts of standing and traveling waves.
NATURE NEUROSCIENCE
(2022)
Article
Neurosciences
Javier Gonzalez-Castillo, Isabel S. Fernandez, Daniel A. Handwerker, Peter A. Bandettini
Summary: Wakefulness levels can impact estimates of functional connectivity and may confound resting-state fMRI studies. Recent research has found fluctuations in the fourth ventricle during sleep, which are hypothesized to be related to CSF inflow and correlate with the global signal. Analyzing these fluctuations can help evaluate wakefulness levels and improve our understanding of functional connectivity during sleep.
Article
Neurosciences
Joshua B. Teves, Javier Gonzalez-Castillo, Micah Holness, Megan Spurney, Peter A. Bandettini, Daniel A. Handwerker
Summary: Designing and executing a good QC process is crucial for robust and reproducible science. As fMRI research trends towards larger sample sizes and automated processing, it is important to not overlook information about data acquisition and quality. This article provides an introduction to researchers who are familiar with fMRI but lack hands-on QC training, explaining the importance of good QC processes and demonstrating key steps using AFNI software and an openly shared dataset.
FRONTIERS IN NEUROSCIENCE
(2023)
Article
Neurosciences
Paul A. Taylor, Richard C. Reynolds, Vince Calhoun, Javier Gonzalez-Castillo, Daniel A. Handwerker, Peter A. Bandettini, Amanda F. Mejia, Gang Chen
Summary: Neuroimaging studies often display only a small fraction of the collected data, which hides important information and leads to issues of selection bias and irreproducibility. Instead, it is suggested to highlight as many results as possible through visualization to improve scientific communication and understanding.
Article
Neurosciences
Jose Sanchez-Bornot, Roberto C. Sotero, J. A. Scott Kelso, Ozguer Simsek, Damien Coyle
Summary: This study proposes a multi-penalized state-space model for analyzing unobserved dynamics, using a data-driven regularization method. Novel algorithms are developed to solve the model, and a cross-validation method is introduced to evaluate regularization parameters. The effectiveness of this method is validated through simulations and real data analysis, enabling a more accurate exploration of cognitive brain functions.