检索结果-内蒙古大学图书馆

arXiv 2022年

作者： Rajagopal, Abhejit Leynes, Andrew P. Dwork, Nicholas Scholey, Jessica E. Hope, Thomas A. Larson, Peder E.Z. Department of Radiology and Biomedical Imaging University of California San Francisco94158 United States Uc Berkeley-UCSF Joint Graduate Program in Bioengineering University of California San Francisco United States University of California BerkeleyCA United States Department of Radiation Oncology University of California San Francisco94158 United States Departments of Pediatrics and Radiology University of Colorado Anschutz 80045 United States

In this paper, we review physics- and data-driven reconstruction techniques for simultaneous positron emission tomography (PET) / magnetic resonance imaging (MRI) systems, which have significant advantages for clinical imaging of cancer, neurological disorders, and heart disease. These reconstruction approaches utilize priors, either structural or statistical, together with a physics-based description of the PET system response. However, due to the nested representation of the forward problem, direct PET/MRI reconstruction is a nonlinear problem. We elucidate how a multi-faceted approach accommodates hybrid data- and physics-driven machine learning for reconstruction of 3D PET/MRI, summarizing important deep learning developments made in the last 5 years to address attenuation correction, scattering, low photon counts, and data consistency. We also describe how applications of these multi-modality approaches extend beyond PET/MRI to improving accuracy in radiation therapy planning. We conclude by discussing opportunities for extending the current state-of-the-art following the latest trends in physics- and deep learning-based computational imaging and next-generation detector hardware. Copyright © 2022, The Authors. All rights reserved.

关键词： Magnetic resonance imaging

来源：评论

学校读者我要写书评

暂无评论

Transcriptional regulation by PHGDH drives amyloid pathology in Alzheimer's disease

引用

Cell 2025年第13期188卷 3513-3529.e26页

作者： Chen, Junchen Hadi, Fatemeh Wen, Xingzhao Zhao, Wenxin Xu, Ming Xue, Shuanghong Lin, Pei Calandrelli, Riccardo Richard, John Lalith Charles Song, Zhixuan Li, Jessica Amani, Alborz Liu, Yang Chen, Xu Zhong, Sheng Shu Chien-Gene Lay Department of Bioengineering University of California San Diego La Jolla San Diego CA United States Institute of Engineering in Medicine University of California San Diego La Jolla San Diego CA United States Program in Bioinformatics and Systems Biology University of California San Diego La Jolla San Diego CA United States School of Biological Sciences University of California San Diego La Jolla San Diego CA United States Department of Neurosciences University of California San Diego La Jolla San Diego CA United States Neuroscience Graduate Program University of California San Diego La Jolla San Diego CA United States

Virtually all individuals aged 65 or older develop at least early pathology of Alzheimer's disease (AD), yet most lack disease-causing mutations in APP, PSEN, or MAPT, and many do not carry the APOE4 risk allele. This raises questions about AD development in the general population. Although transcriptional dysregulation has not traditionally been a hallmark of AD, recent studies reveal significant epigenomic changes in late-onset AD (LOAD) patients. We show that altered expression of the LOAD biomarker phosphoglycerate dehydrogenase (PHGDH) modulates AD pathology in mice and human brain organoids independent of its enzymatic activity. PHGDH has an uncharacterized role in transcriptional regulation, promoting the transcription of inhibitor of nuclear factor kappa-B kinase subunit alpha (IKKa) and high-mobility group box 1 (HMGB1) in astrocytes, which suppress autophagy and accelerate amyloid pathology. A blood-brain-barrier-permeable small-molecule inhibitor targeting PHGDH's transcriptional function reduces amyloid pathology and improves AD-related behavioral deficits. These findings highlight transcriptional regulation in LOAD and suggest therapeutic strategies beyond targeting familial mutations. © 2025 The Author(s)

关键词： Alzheimer's disease amyloid pathology astrocyte biomarker LOAD PHGDH small molecule therapeutic candidate transcriptional regulation

来源：评论

学校读者我要写书评

暂无评论

Spinal functional Magnetic Resonance Imaging (fMRI) on Human Studies: A Literature Review

Spinal functional Magnetic Resonance Imaging (fMRI) on Human...

引用

2019 Advances in Science and Engineering Technology International Conferences, ASET 2019

作者： Al-Momani, Sajedah Dhou, Salam Biomedical Engineering Graduate Program American University of Sharjah Sharjah United Arab Emirates Department of Computer Science and Engineering Biomedical Engineering Graduate Program Biosciences and Bioengineering Research Institute American University of Sharjah Sharjah United Arab Emirates

ISBN: (纸本)9781538682715

Spinal functional Magnetic Resonance Imaging (fMRI) is a newly emerging non-invasive imaging technique that has been introduced to study the Blood Oxygenation Level Dependent (BOLD) changes in the spinal cord associated with a certain activity or even at rest. Spinal fMRI is also used to assess the treatment of many dysfunctions affect the spinal cord such as spinal cord injury (SCI) and Multiple sclerosis (MS). The purpose of this paper is to propose a literature review of spinal fMRI studies performed on healthy human volunteers. The studies reviewed are divided based on the paradigm being performed during image acquisition into (1) studies under activities and stimulus which are further classified according to the type of the stimuli, and (2) studies at resting state. Moreover, the limitations of spinal fMRI and how to tackle them are discussed. © 2019 IEEE.

关键词： Magnetic resonance imaging

来源：评论

学校读者我要写书评

暂无评论

Controlled Release of Bone Morphogenetic Protein-2 Improves Motor Function after Traumatic Brain Injury in a Rat Model

SSRN

引用

SSRN 2025年

作者： Townsend, Jakob M. Deng, Jasmine Z. Barbay, Scott Andrews, Brian T. Nudo, Randolph J. Detamore, Michael S. C. Wayne McIlwraith Translational Medicine Institute Colorado State University Fort CollinsCO80523 United States School of Biomedical Engineering Colorado State University Fort CollinsCO80523 United States Bioengineering Graduate Program University of Kansas LawrenceKS66045 United States Department of Physical Medicine and Rehabilitation University of Kansas Medical Center Kansas CityKS66103 United States Department of Otolaryngology University of Iowa Medical Center Iowa CityIA52245 United States Department of Mechanical Engineering Colorado State University Fort CollinsCO80523 United States

Severe traumatic brain injury (TBI) is a life-threatening condition characterized by internal brain swelling and commonly treated using a two-stage surgical approach. The interval between surgeries, generally spaced weeks to months, is associated with secondary neurologic complications from leaving the brain unprotected. Hydrogels may reshape severe TBI treatment by enabling a single-stage surgical intervention, capable of being implanted at the initial surgery, remaining flexible to accommodate brain swelling, and calibrated to regenerate bone after brain swelling has subsided. The current study evaluated the use of a pentenoate-modified hyaluronic acid (PHA) polymer with thiolated devitalized tendon (TDVT) for calvarial bone regeneration in a rat TBI model. Additionally, PHA-TDVT hydrogels encapsulating microspheres containing bone morphogenetic protein-2 (BMP-2) were investigated to enhance bone regeneration. All hydrogel precursor formulations exhibited sufficient yield stress for surgical placement. The addition of TDVT to the crosslinked hydrogels increased the average compressive modulus. In vitro cell studies revealed that the PHA-TDVT hydrogel with the highest concentration of BMP-2 microspheres (i.e., PHA-TDVT+µ100) significantly improved calcium deposition and osteogenic gene expression. Minimal in vivo bone regeneration was observed for all hydrogel groups;however, BMP-2 microsphere addition fortuitously reduced motor skill impairment and brain atrophy. The PHA-TDVT+µ100 group had 2.8 times greater reach index and 2.3 times lower brain atrophy values compared to the negative control (p © 2025, The Authors. All rights reserved.

关键词： Transplantation (surgical)

来源：评论

学校读者我要写书评

暂无评论

Review of Image-Guided Percutaneous Coronary Interventions

Review of Image-Guided Percutaneous Coronary Interventions

引用

2019 Advances in Science and Engineering Technology International Conferences, ASET 2019

作者： Alatoom, Aseel Farhat, Jumana Dhou, Salam Biomedical Engineering Graduate Program American University of Sharjah Sharjah United Arab Emirates Department of Computer Science and Engineering Biomedical Engineering Graduate Program Biosciences and Bioengineering Research Institute American University of Sharjah Sharjah United Arab Emirates

ISBN: (纸本)9781538682715

Image-guided surgery (IGS) involves using surgical instruments tracking system to guide the surgeon during invasive surgical procedures. The use of preoperative or intraoperative images is very essential in providing navigation for different medical applications. In this paper, a literature review of different imaging modalities that aid in the diagnosis and treatment of coronary artery disease (CAD) is proposed. The imaging modalities discussed include x-ray fluoroscopy, coronary computed tomography angiography (CCTA), fractional flow reserve (FFR), cardiac single-photon emission computed tomography (SPECT), cardiovascular magnetic resonance imaging (CMRI) and ultrasound. Additionally, pseudoaneurysms, which can result from percutaneous coronary interventions (PCI) procedure, are reviewed as well as the treatment procedure. Finally, a comparison between the different imaging modalities is carried out, based on the number of papers that have been published, in addition to the sensitivity and specificity for each modality according to PubMed and Web of Science databases. © 2019 IEEE.

关键词： Ultrasonics

来源：评论

学校读者我要写书评

暂无评论

Author Correction: Miniscope3D: optimized single-shot miniature 3D fluorescence microscopy

引用

Light, science & applications 2023年第1期12卷 93页

作者： Kyrollos Yanny Nick Antipa William Liberti Sam Dehaeck Kristina Monakhova Fanglin Linda Liu Konlin Shen Ren Ng Laura Waller UCB/UCSF Joint Graduate Program in Bioengineering University of California Berkeley CA 94720 USA. kyrollosyanny@***. Department of Electrical Engineering & Computer Sciences University of California Berkeley CA 94720 USA. naantipa@***. Department of Electrical Engineering & Computer Sciences University of California Berkeley CA 94720 USA. TIPs Department Université libre de Bruxelles (ULB) 1050 Brussels Belgium. UCB/UCSF Joint Graduate Program in Bioengineering University of California Berkeley CA 94720 USA.

来源：评论

学校读者我要写书评

暂无评论

Amplification of enzymatic and microbial fuel cells using organic electrochemical transistors

Device

引用

Device 2025年第6期3卷

作者： Saxena, Ravindra Zhang, Xu Cai, Rong Suggs, Olivia Bruggeman, Chase Hickey, David P. Ajo-Franklin, Caroline M. Verduzco, Rafael Applied Physics Graduate Program Smalley-Curl Institute Rice University Houston 77005 TX United States Department of Biosciences Rice University Houston 77005 TX United States Department of Chemical Engineering and Materials Science Michigan State University East Lansing 48824 MI United States Department of Bioengineering Rice University Houston 77005 TX United States Department of Chemical and Biomolecular Engineering Rice University Houston 77005 TX United States Rice Advanced Materials Institute Rice University Houston 77005 TX United States

Organic electrochemical transistors (OECTs) are thin-film devices operated in aqueous and biological environments for sensing chemicals and biomolecules. However, most sensor configurations involve introducing the target biomolecule directly in the OECT device. This has drawbacks because it may not be possible to have an electrolyte compatible with the target biomolecule or an environment optimal for the OECT. Here, we demonstrate a general and modular approach to building electrochemical sensors by coupling OECTs electronically with either an enzymatic fuel cell (EFC) or microbial fuel cell (MFC). We demonstrate that this modular approach can amplify currents by three orders of magnitude and enhance the signal-to-noise ratio. We also show that the power generated by the fuel cell can help tune the sensor's response for different applications. This work demonstrates a simple and versatile approach for amplifying currents from MFCs and EFCs useful for the development of bioelectronic sensors. © 2025 The Authors

关键词： amplification biosensors DTI-3: Develop electro-active bacteria enzymatic fuel cells microbial fuel cells organic electrochemical transistors power

来源：评论

学校读者我要写书评

暂无评论

Bok's equi-volume principle: Translation, historical context, and a modern perspective

引用

Brain Multiphysics 2022年 3卷

作者： Consolini, Jack Demirci, Nagehan Fulwider, Andrew Hutsler, Jeffrey J. Holland, Maria A. Department of Aerospace and Mechanical Engineering University of Notre Dame Notre Dame 46556 IN United States Bioengineering Graduate Program University of Notre Dame Notre Dame 46556 IN United States Department of Chemical and Biomolecular Engineering University of Notre Dame Notre Dame 46556 IN United States Department of German and Russian Languages and Literatures University of Notre Dame Notre Dame 46556 IN United States Program in Neuroscience University of Nevada Reno 89557 NV United States

The human brain has a complex and unique structure, characterized by intricate three-dimensional folds. These folds, and the mechanisms for their formation, have been studied for over a hundred years. Here we offer a full translation of the pivotal (1929) work by Siegfried Bok, “Der Einflußder in den Furchen und Windungen auftretenden Krümmungen der Großhirnrinde auf die Rindenarchitektur” (“The Influence of the Curvature Occurring in the Folds and Turns of the Cerebral Cortex on Cortical Architecture”). This paper established the influential equi-volume principle, which stated that cortical and laminar thicknesses, along with neuronal shape and fiber orientation, change in order to preserve relative volume throughout the folds of the cortex. We also offer a commentary on the main points of the work, looking at Bok's observations and predictions regarding the structure of neurons, cortical laminae, and the cortex itself, throughout the folds and curves of the brain. His equi-volume principle has held up to decades of experimentation and, even today, has important implications for the analysis of brain structure and function. Statement of Significance: This manuscript presents, for the first time, a full English translation of the foundational neuroanatomy article, “Der Einflußder in den Furchen und Windungen auftretenden Krümmungen der Großhirnrinde auf die Rindenarchitektur” (“The Influence of the Curvature Occurring in the Folds and Turns of the Cerebral Cortex on Cortical Architecture”), written over 90 years ago by Siegfried T. Bok and heavily cited since then. In addition, we provide an assessment of Bok's main points, in light of his contemporaries in research at the time, as well as more recent work during the intervening decades. © 2022 The Author(s)

关键词： Cortical folding Cortical laminae Cortical thickness Neuroanatomy

来源：评论

学校读者我要写书评

暂无评论

Modeling BOLD-fMRI Hemodynamics via Multidimensional Decomposition of Electrophysiology Data: A Simulation Study

Modeling BOLD-fMRI Hemodynamics via Multidimensional Decompo...

引用

Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

作者： Dylan W. Mann-Krzisnik Georgios D. Mitsis Graduate Program in Biological and Biomedical Engineering (BBME) McGill University Montréal QC Canada Department of Bioengineering McGill University Montréal QC Canada

ISBN: (数字)9781728119908

ISBN: (纸本)9781728119915

We propose a framework for studying the electrophysiological correlates of BOLD-fMRI. This framework relies on structured coupled matrix-tensor factorization (sCMTF), a joint multidimensional decomposition which reveals dynamical interactions between LFP/EEG oscillatory features and BOLD-fMRI data. We test whether LFP/EEG-BOLD co-fluctuations and regional hemodynamic response functions can be estimated by sCMTF using whole-brain modelling of restingstate activity. We produce permuted datasets to show that our framework extracts EEG/LFP temporal patterns that correlate significantly with BOLD signal fluctuations. Our framework is also capable of estimating HRFs that accurately embodies simulated hemodynamics, with a word of caution regarding initialization of the sCMTF algorithm.

关键词： Brain modeling Electroencephalography Optical fibers Oscillators Data models Frequency modulation Time-frequency analysis

来源：评论

学校读者我要写书评

暂无评论

Neural population dynamics in songbird RA and HVC during learned motor-vocal behavior

arXiv

引用

arXiv 2024年

作者： Tostado-Marcos, Pablo Arneodo, Ezequiel M. Ostrowski, Lauren Brown, Daril E. Perez, Xavier A. Kadwory, Adam Stanwicks, Lauren L. Alothman, Abdullah Gentner, Timothy Q. Gilja, Vikash Department of Bioengineering University of California San Diego 9500 Gilman Drive La Jolla CA92093 United States Department of Electrical and Computer Engineering University of California San Diego 9500 Gilman Drive La Jolla CA92093 United States Department of Psychology University of California San Diego 9500 Gilman Drive La Jolla CA92093 United States Department of Neurobiology University of California San Diego 9500 Gilman Drive La Jolla CA92093 United States Neurosciences Graduate Program University of California San Diego 9500 Gilman Drive La Jolla CA92093 United States

Complex, learned motor behaviors involve the coordination of large-scale neural activity across multiple brain regions, but our understanding of the population-level dynamics within different regions tied to the same behavior remains limited. Here, we investigate the neural population dynamics underlying learned vocal production in awake-singing songbirds. We use Neuropixels probes to record the simultaneous extracellular activity of populations of neurons in two regions of the vocal motor pathway. In line with observations made in non-human primates during limb-based motor tasks, we show that the population-level activity in both the premotor nucleus HVC and the motor nucleus RA is organized on low-dimensional neural manifolds upon which coordinated neural activity is well described by temporally structured trajectories during singing behavior. Both the HVC and RA latent trajectories provide relevant information to predict vocal sequence transitions between song syllables. However, the dynamics of these latent trajectories differ between regions. Our state-space models suggest a unique and continuous-over-time correspondence between the latent space of RA and vocal output, whereas the corresponding relationship for HVC exhibits a higher degree of neural variability. We then demonstrate that comparable high-fidelity reconstruction of continuous vocal outputs can be achieved from HVC and RA neural latents and spiking activity. Unlike those that use spiking activity, however, decoding models using neural latents generalize to novel sub-populations in each region, consistent with the existence of preserved manifolds that confine vocal-motor activity in HVC and RA. © 2024, CC BY.

关键词： Dynamics

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：