Article
Mathematics, Interdisciplinary Applications
Shu Zhang, Ruoyang Wang, Zhen Han, Sigang Yu, Huan Gao, Xi Jiang, Tuo Zhang
Summary: The 3-hinge gyral folding pattern is an important brain architecture in brain imaging analysis. This paper proposes a method based on the DICCCOL system to identify common and consistent 3-hinge gyral folding landmarks. It successfully identifies 79 such landmarks and compares them with inconsistent landmarks, showing differences in their functional associations. The proposed DICCCOL-based method has advantages over the widely used brain landmark atlas.
CHAOS SOLITONS & FRACTALS
(2022)
Article
Neurosciences
Songyao Zhang, Poorya Chavoshnejad, Xiao Li, Lei Guo, Xi Jiang, Junwei Han, Li Wang, Gang Li, Xianqiao Wang, Tianming Liu, Mir Jalil Razavi, Shu Zhang, Tuo Zhang
Summary: The development of the cerebral cortex plays a crucial role in understanding the mechanism of cortical folding and its relationship to brain structure and function. Recent studies have identified typical cortical landmarks that maintain their invariant features across individuals and ages. In this study, the researchers aimed to define and identify novel cortical landmarks called gyral peaks, which are the highest foci on gyri. By analyzing MRI scans of macaque monkeys, the researchers found that gyral peaks exhibited spatial consistency across individuals and remained relatively stable within a certain age range. These gyral peaks had distinct features compared to other gyri, such as a thicker cortex and a closer proximity to structural connectivity-based cortical parcellations. The spatial distribution of gyral peaks also correlated with other cortical landmarks. This study provides insights into the spatial arrangement and temporal development of gyral peaks and their association with brain structure and function.
HUMAN BRAIN MAPPING
(2022)
Article
Nanoscience & Nanotechnology
Xiaojia Du, Yangjin Lee, Yan Zhang, Tianhao Yu, Kwanpyo Kim, Nan Liu
Summary: Constructing a bilayer system with defined twist angles can effectively engineer the physical properties of 2D materials, leading to a new research area of twistronics. This study presents a strategy for the large-scale fabrication of twisted bilayer MoS2, with various twist angles tuning Raman mode frequencies and optical transition energies. The folded bilayers exhibit extremely high photoluminescence with doubled intensity compared to unfolded monolayers, showing potential applications in optoelectronic devices.
ACS APPLIED MATERIALS & INTERFACES
(2021)
Article
Neurosciences
Songyao Zhang, Tuo Zhang, Zhibin He, Xiao Li, Lu Zhang, Dajiang Zhu, Xi Jiang, Tianming Liu, Junwei Han, Lei Guo
Summary: Cortical folding patterns are related to brain function, cognition, and behavior. Efforts have been made to identify finer gyral landmarks in the human brain, and this study successfully identified 96 gyral peaks that are consistent across individuals. These peaks have distinct structural and functional characteristics and show hemispheric symmetry. These findings provide new insights into cortical landmarks and their relationship with brain functions in both healthy and aberrant brains.
Article
Chemistry, Physical
Avik Samanta, Wuji Huang, Martell Bell, Scott K. Shaw, Nicholas Charipar, Hongtao Ding
Summary: An innovative laser-assisted functionalization method is proposed to fabricate a superhydrophobic-superhydrophilic patterned surface on a large-area metal alloy, with two different strategies demonstrated. Adjusting laser parameters allows for surface topography patterning and anti-reflection surface properties to be achieved. This method decouples extreme wettability from surface topography, showing simplicity, robustness, and feasibility.
APPLIED SURFACE SCIENCE
(2021)
Article
Chemistry, Multidisciplinary
Ariel Shitrit, Sandhya Mardhekar, Israel Alshanski, Prashant Jain, Rakesh Raigawali, Chethan D. Shanthamurthy, Raghavendra Kikkeri, Shlomo Yitzchaik, Mattan Hurevich
Summary: This study investigated the relationship between Heparan sulfate glycosaminoglycans and the binding of heavy metal ions using electrochemical and surface characterization techniques. It was found that the uronic acid type and sulfation pattern play a crucial role in the binding of Hg(II), Cd(II), and Pb(II).
CHEMISTRY-A EUROPEAN JOURNAL
(2022)
Article
Biochemical Research Methods
Morgan A. Bailey, Yun Tang, Hye-Jin Park, Michael C. Fitzgerald
Summary: A new suite of mass spectrometry-based proteomic methods has been developed for evaluating protein folding stability, using chemical and thermal denaturation approaches as well as proteolysis strategies. This study compared the advantages and disadvantages of using different techniques to characterize biological phenotypes. The results showed that TPP generated the largest number of differentially stabilized protein hits, with only a quarter of the hits detected by multiple techniques.
JOURNAL OF THE AMERICAN SOCIETY FOR MASS SPECTROMETRY
(2023)
Article
Chemistry, Multidisciplinary
Ye Yu, Pierre Lorenz, Carsten Strobel, Joachim Zajadacz, Matthias Albert, Klaus Zimmer, Robert Kirchner
Summary: A fast self-folding technique using vacuum microforming was developed in this study, achieving the self-folding of microcubes within 30 ms. Additionally, a metal-insulator-metal plasmonic nanostructure with advanced optical properties was fabricated, and these properties were well preserved throughout the folding process in 3D architectures.
Article
Biotechnology & Applied Microbiology
Nancy Dong, Julia Bandura, Zhaolei Zhang, Yan Wang, Karine Labadie, Benjamin Noel, Angus Davison, Joris M. Koene, Hong-Shuo Sun, Marie-Agnes Coutellec, Zhong-Ping Feng
Summary: This study utilized L. stagnalis genome and RNA-seq technology to identify 17,832 protein-coding transcripts, providing a comprehensive characterization of L. stagnalis transcriptome and insights into CNS transcript diversity and function of this species. Additionally, comparisons with other model organisms revealed similarities and evolutionary relationships of ion channels and receptors in L. stagnalis with vertebrates and invertebrates.
Article
Meteorology & Atmospheric Sciences
Niclas Rieger, Alvaro Corral, Estrella Olmedo, Antonio Turiel
Summary: A proper description of ocean-atmosphere interactions is key for a correct understanding of climate evolution. The complex rotated MCA method offers a solution to some limitations of traditional methods and successfully captures the temporal and spatial relationships between sea surface temperature and continental precipitation.
JOURNAL OF CLIMATE
(2021)
Article
Engineering, Chemical
Chenyi Fang, Orlando Garcia-Rodriguez, Chuning Shang, Joseph Imbrogno, Tim M. Swenson, Olivier Lefebvre, Sui Zhang
Summary: In this study, an omniphobic membrane with macro-corrugation was developed for the treatment of realistic pharmaceutical wastewater. The membrane exhibited excellent performance in terms of high water contact angle, low water sliding angle, and resistance to fouling and scaling. These properties were attributed to the Teflon coating and the surface patterns, which provided simultaneous wetting resistance and enhanced turbulence. This research provides valuable insights for the design and application of membrane distillation membranes in treating challenging pharmaceutical wastewater.
JOURNAL OF MEMBRANE SCIENCE
(2023)
Article
Automation & Control Systems
Rui Wu, Longqiu Li, Zuankai Wang
Summary: Origami and kirigami, as foundations for programmable sheet materials, have limitations due to folded paper's inability to allow in-plane sheet deformation. A new strategy called shearigami is introduced to break these limitations by leveraging a folding effect from in-plane shear deformation. Shearigami extends the realm of foldable structures and provides self-folding energy that outperforms crease-stored energy by a potentially two orders of magnitude. This approach paves the way for the development of active structures and architectured materials with design freedom and self-folding capabilities beyond origami and kirigami.
ADVANCED INTELLIGENT SYSTEMS
(2023)
Article
Geosciences, Multidisciplinary
Andrzej Konon, Michal Wygladala, Anna Haluch, Barbara Rybak-Ostrowska, Marta Cyz, Michal Malinowski
Summary: By combining core analysis with seismic data analysis, this study explores the relationship between internal deformations in folds and demonstrates the advantages of using a comprehensive approach for identifying internal structures in folds, which is crucial for reservoir quality assessment.
MARINE AND PETROLEUM GEOLOGY
(2021)
Article
Biochemical Research Methods
Baiyi Quan, Morgan A. Bailey, John Mantyh, David S. Hsu, Michael C. Fitzgerald
Summary: In this study, three protein folding stability profiling techniques were used to identify differentially stabilized proteins in colorectal cancer cell lines with different oxaliplatin sensitivities. The techniques successfully identified unique and novel proteins, including 36 proteins that were differentially stabilized in both cell line and patient-derived xenograft studies. Two of these proteins, fatty acid synthase and elongation factor 2, were validated and found to be potential drug targets for improving the efficacy of CRC chemotherapy. These findings enhance our understanding of CRC oxaliplatin resistance and provide insights for predicting sensitivity and overcoming chemoresistance in CRC.
JOURNAL OF PROTEOME RESEARCH
(2023)
Article
Engineering, Manufacturing
Wuji Huang, Avik Samanta, Hongtao Ding
Summary: The issue of global freshwater scarcity has become increasingly urgent due to the intensification of climate change effects. Fog harvesting has emerged as a sustainable and promising solution, and wettability-patterned surfaces have shown potential in enhancing fog harvesting efficiency. In this study, venation-like surface wetting patterns were directly fabricated on an aluminum alloy using a laser-assisted functionalization method. The resulting patterns demonstrated a significant increase in fog harvesting capability compared to the untreated surface.
JOURNAL OF MANUFACTURING PROCESSES
(2023)
Article
Computer Science, Information Systems
Dan Hu, Zhengwang Wu, Weili Lin, Gang Li, Dinggang Shen
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS
(2020)
Article
Neuroimaging
Linghui Meng, Tong Shan, Kaiming Li, Qiyong Gong
Summary: Acute stress has significant impact on white matter microstructure of trauma-exposed individuals, but the changes in brain structure do not directly correlate with symptom improvement.
BRAIN IMAGING AND BEHAVIOR
(2021)
Article
Chemistry, Multidisciplinary
Zhi Liu, Gregory A. Simchick, Jing Qiao, Morgan M. Ashcraft, Shuolin Cui, Tamas Nagy, Qun Zhao, May P. Xiong
Summary: A nanochelator system utilizing the physiological environment of iron overload was developed to improve iron elimination and pharmacokinetic properties in mice, showing promising results for iron chelation therapy with no adverse effects observed in toxicity studies. This ROS-responsive nanochelator design could be a safe alternative for effectively removing iron chelates from the body in iron chelation therapy regimens requiring repeated dosing.
Article
Computer Science, Interdisciplinary Applications
Dan Hu, Han Zhang, Zhengwang Wu, Fan Wang, Li Wang, J. Keith Smith, Weili Lin, Gang Li, Dinggang Shen
IEEE TRANSACTIONS ON MEDICAL IMAGING
(2020)
Article
Multidisciplinary Sciences
Kelly M. Scheulin, Brian J. Jurgielewicz, Samantha E. Spellicy, Elizabeth S. Waters, Emily W. Baker, Holly A. Kinder, Gregory A. Simchick, Sydney E. Sneed, Janet A. Grimes, Qun Zhao, Steven L. Stice, Franklin D. West
Summary: This study utilized MRI to explore the relationship between stroke lesion locations and specific brain structures, identifying key damaged structures related to recovery and drawing conclusions on motor deficits following stroke. The research findings suggest potential predictive markers for stroke outcomes based on neuroanatomical correlations.
SCIENTIFIC REPORTS
(2021)
Article
Multidisciplinary Sciences
Charles-Francois Latchoumane, Martha Betancur, Gregory A. Simchick, Min Kyoung Sun, Rameen Forghani, Christopher E. Lenear, Aws Ahmed, Ramya Mohankumar, Nivedha Balaji, Hannah D. Mason, Stephanie A. Archer-Hartmann, Parastoo Azadi, Philip Holmes, Qun Zhao, Ravi Bellamkonda, Lohitash Karumbaiah
Summary: Chronic traumatic brain injury survivors may benefit from the implantation of neurotrophic factor-functionalized chondroitin sulfate (eCS) matrices for long-term neural functional recovery. This approach can facilitate repair of cells, vessels, and neural circuits to enhance motor function recovery.
Article
Computer Science, Interdisciplinary Applications
Fenqiang Zhao, Zhengwang Wu, Fan Wang, Weili Lin, Shunren Xia, Dinggang Shen, Li Wang, Gang Li
Summary: Cortical surface registration is crucial for surface-based neuroimaging analysis, aligning surfaces across individuals and time points. The Superfast Spherical Surface Registration (S3Reg) framework developed in this study leverages unsupervised learning and spherical CNNs to reduce registration time significantly, while maintaining topological integrity. Experimental results show superior or comparable performance with state-of-the-art methods, with registration time improved from 1 minute to 10 seconds.
IEEE TRANSACTIONS ON MEDICAL IMAGING
(2021)
Article
Multidisciplinary Sciences
Gregory Simchick, Kelly M. Scheulin, Wenwu Sun, Sydney E. Sneed, Madison M. Fagan, Savannah R. Cheek, Franklin D. West, Qun Zhao
Summary: Functional magnetic resonance imaging (fMRI) shows promise in evaluating brain network changes post-TBI and predicting potential deficits. In a TBI piglet model, both resting-state and task-based fMRI revealed disruptions in visual, executive control, and sensorimotor networks, with specific anatomical structures affected.
SCIENTIFIC REPORTS
(2021)
Article
Computer Science, Interdisciplinary Applications
Jiale Cheng, Xin Zhang, Hao Ni, Chenyang Li, Xiangmin Xu, Zhengwang Wu, Li Wang, Weili Lin, Gang Li
Summary: Studies have shown a strong connection between cognition skills and brain morphology during infancy. However, predicting individual cognitive scores using brain morphological features is challenging due to issues like high dimensionality, small sample size, and missing data. In this study, a novel neural network model called CF-PSNet is proposed to predict cognitive scores by exploring the hidden dynamic patterns of cortical features. The model leverages a compact feature set, handles missing data robustly, and selects influential brain regions. Experimental results on an infant dataset demonstrate the state-of-the-art performance of CF-PSNet.
IEEE TRANSACTIONS ON MEDICAL IMAGING
(2022)
Article
Neurosciences
Steve C. N. Hui, Mark Mikkelsen, Helge J. Zollner, Vishwadeep Ahluwalia, Sarael Alcauter, Laima Baltusis, Deborah A. Barany, Laura R. Barlow, Robert Becker, Jeffrey Berman, Adam Berrington, Pallab K. Bhattacharyya, Jakob Udby Blicher, Wolfgang Bogner, Mark S. Brown, Vince D. Calhoun, Ryan Castillo, Kim M. Cecil, Yeo Bi Choi, Winnie C. W. Chu, William T. Clarke, Alexander R. Craven, Koen Cuypers, Michael Dacko, Camilo de la Fuente-Sandoval, Patricia Desmond, Aleksandra Domagalik, Julien Dumont, Niall W. Duncan, Ulrike Dydak, Katherine Dyke, David A. Edmondson, Gabriele Ende, Lars Ersland, C. John Evans, Alan S. R. Fermin, Antonio Ferretti, Ariane Fillmer, Tao Gong, Ian Greenhouse, James T. Grist, Meng Gu, Ashley D. Harris, Katarzyna Hatz, Stefanie Heba, Eva Heckova, John P. Hegarty, Kirstin-Friederike Heise, Shiori Honda, Aaron Jacobson, Jacobus F. A. Jansen, Christopher W. Jenkins, Stephen J. Johnston, Christoph Juchem, Alayar Kangarlu, Adam B. Kerr, Karl Landheer, Thomas Lange, Phil Lee, Swati Rane Levendovszky, Catherine Limperopoulos, Feng Liu, William Lloyd, David J. Lythgoe, Maro G. Machizawa, Erin L. MacMillan, Richard J. Maddock, Andrei Manzhurtsev, Maria L. Martinez-Gudino, Jack J. Miller, Heline Mirzakhanian, Marta Moreno-Ortega, Paul G. Mullins, Shinichiro Nakajima, Jamie Near, Ralph Noeske, Wibeke Nordhoy, Georg Oeltzschner, Raul Osorio-Duran, Maria C. G. Otaduy, Erick H. Pasaye, Ronald Peeters, Scott J. Peltier, Ulrich Pilatus, Nenad Polomac, Eric C. Porges, Subechhya Pradhan, James Joseph Prisciandaro, Nicolaas A. Puts, Caroline D. Rae, Francisco Reyes-Madrigal, Timothy P. L. Roberts, Caroline E. Robertson, Jens T. Rosenberg, Diana-Georgiana Rotaru, Ruth L. O'Gorman Tuura, Muhammad G. Saleh, Kristian Sandberg, Ryan Sangill, Keith Schembri, Anouk Schrantee, Natalia A. Semenova, Debra Singel, Rouslan Sitnikov, Jolinda Smith, Yulu Song, Craig Stark, Diederick Stoffers, Stephan P. Swinnen, Rongwen Tain, Costin Tanase, Sofie Tapper, Martin Tegenthoff, Thomas Thiel, Marc Thioux, Peter Truong, Pim van Dijk, Nolan Vella, Rishma Vidyasagar, Andrej Vovk, Guangbin Wang, Lars T. Westlye, Timothy K. Wilbur, William R. Willoughby, Martin Wilson, Hans-Jorg Wittsack, Adam J. Woods, Yen-Chien Wu, Junqian Xu, Maria Yanez Lopez, David K. W. Yeung, Qun Zhao, Xiaopeng Zhou, Gasper Zupan, Richard A. E. Edden
Summary: The study aimed to assess the need for real-time field-frequency locking on MRI scanners by analyzing frequency drift data from 95 3T MRI scanners. The results showed relatively low levels of drift with differences across scanners, and both linear and nonlinear drifts were observed.
Article
Computer Science, Interdisciplinary Applications
Dongming Wei, Sahar Ahmad, Yuyu Guo, Liyun Chen, Yunzhi Huang, Lei Ma, Zhengwang Wu, Gang Li, Li Wang, Weili Lin, Pew-Thian Yap, Dinggang Shen, Qian Wang
Summary: In this paper, a recurrently usable deep neural network is proposed for the registration of infant brain MR images. By using brain tissue segmentation maps for registration and training a single registration network that is recurrently applied in inference, the proposed method overcomes the challenge of fast brain development in infants. Experimental results show that the method achieves the highest registration accuracy while preserving the smoothness of the deformation field.
IEEE TRANSACTIONS ON MEDICAL IMAGING
(2022)
Article
Biochemical Research Methods
Sahar Ahmad, Ye Wu, Zhengwang Wu, Kim-Han Thung, Siyuan Liu, Weili Lin, Gang Li, Li Wang, Pew-Thian Yap
Summary: Brain atlases serve as spatial references for integrating, processing, and analyzing brain features from different individuals, sources, and scales. This study introduces a collection of joint surface-volume atlases that map the postnatal development of the human brain in a densely spatiotemporal manner from two weeks to two years old. These atlases provide normative patterns and capture key traits of early brain development, enabling the identification of deviations from normal developmental trajectories. By facilitating the mapping of diverse features of the infant brain to a common reference frame, these atlases enhance our understanding of early structural and functional development by enabling precise quantification of cortical and subcortical changes.
Article
Biochemical Research Methods
Li Wang, Zhengwang Wu, Liangjun Chen, Yue Sun, Weili Lin, Gang Li
Summary: The human cerebral cortex goes through significant development during early postnatal stages. However, it is challenging to accurately process and quantify infant brain development due to low tissue contrast and inter-site data heterogeneity in infant brain MRI scans. To address these challenges, we propose a robust computational pipeline that utilizes deep learning techniques. The pipeline can handle different imaging protocols and scanners and has demonstrated superior effectiveness and accuracy compared to existing methods.
Article
Biology
Fan Wang, Han Zhang, Zhengwang Wu, Dan Hu, Zhen Zhou, Jessica B. Girault, Li Wang, Weili Lin, Gang Li
Summary: In this study, the authors developed the first set of infant-specific, fine-grained cortical functional parcellation maps using 1064 high-resolution longitudinal rs-fMRIs from 197 typically developing infants and toddlers. The cortical co-registration and alignment of functional connectivity maps allowed for the generation of over 800 fine-grained parcels, revealing complex functional developmental patterns in infant brains.
Article
Psychiatry
Kaiming Li, John A. Sweeney, Xiaoping P. Hu
SCHIZOPHRENIA RESEARCH
(2020)