Review
Radiology, Nuclear Medicine & Medical Imaging
Valeria Romeo, Thomas H. Helbich, Katja Pinker
Summary: The recent introduction of hybrid positron emission tomography/magnetic resonance imaging (PET/MRI) as a promising imaging modality for breast cancer assessment has sparked extensive research on its clinical applications. This state-of-the-art review provides an overview of advanced MRI techniques, PET tracers, and the use of radiomics and artificial intelligence techniques in hybrid breast PET/MRI. The strengths and limitations of hybrid PET/MRI in the real world are also discussed.
JOURNAL OF MAGNETIC RESONANCE IMAGING
(2023)
Article
Multidisciplinary Sciences
Gabriella Hernadi, David Pinter, Szilvia Anett Nagy, Gergely Orsi, Samuel Komoly, Jozsef Janszky, Norbert Kovacs, Gabor Perlaki
Summary: The study compared different MRI sequences for nigral hyperintensity imaging and found that EPISEG performed the best in reducing motion artifacts, increasing radiologist confidence, and lowering the rate of non-diagnostic scans.
SCIENTIFIC REPORTS
(2021)
Review
Radiology, Nuclear Medicine & Medical Imaging
Se Jin Cho, Yun Jung Bae, Jong-Min Kim, Donghyun Kim, Sung Hyun Baik, Leonard Sunwoo, Byung Se Choi, Jae Hyoung Kim
Summary: Neuromelanin-sensitive magnetic resonance imaging showed good diagnostic performance in discriminating patients with Parkinson's disease from healthy controls. Factors such as disease duration, imaging parameters, and segmentation methods were found to influence the diagnostic performance. Further investigations comparing these factors and optimizing parameters are necessary to improve diagnostic accuracy.
EUROPEAN RADIOLOGY
(2021)
Article
Clinical Neurology
Se Jin Cho, Yun Jung Bae, Jong-Min Kim, Hyun Jin Kim, Sung Hyun Baik, Leonard Sunwoo, Byung Se Choi, Cheolkyu Jung, Jae Hyoung Kim
Summary: Iron-sensitive nigral magnetic resonance imaging showed favorable diagnostic performance in distinguishing patients with Parkinson's disease from control participants. Factors influencing diagnostic performance included disease duration, analysis method, pixel size, flip angle, slice thickness, and specific targeting of the substantia nigra pars compacta. Further improvements in spatial resolution and contrast-to-noise ratio are needed for objective analytic methods targeting the nigrosome-1.
JOURNAL OF NEUROLOGY
(2021)
Article
Clinical Neurology
Calogero Edoardo Cicero, Giulia Donzuso, Antonina Luca, Marco Davi, Roberta Baschi, Giovanni Mostile, Loretta Giuliano, Stefano Palmucci, Andrea Salerno, Roberto Monastero, Alessandra Nicoletti, Mario Zappia
Summary: This study found that Parkinson's disease patients with mild cognitive impairment showed midbrain atrophy and thinning of the frontal cortical regions on MRI scans. These findings may serve as structural MRI features of Parkinson's disease patients with cognitive impairment.
EUROPEAN JOURNAL OF NEUROLOGY
(2022)
Article
Neurosciences
Hui Wang, Jianxia Xu, Miao Yu, Gaiyan Zhou, Jingru Ren, Yajie Wang, Huifen Zheng, Yu Sun, Jun Wu, Weiguo Liu
Summary: This study aimed to explore the potential clinical utility of functional and structural magnetic resonance imaging (MRI) in the diagnosis of depression in Parkinson's disease (DPD). The results showed that both the ReHo value of the left dorsolateral superior frontal gyrus and the DC value of the left inferior temporal gyrus were equally well suited for the diagnosis and differential diagnosis of DPD, with a combination of them being slightly preferable. The multimodal MRI technique represents a promising approach for the classification of subjects with PD.
FRONTIERS IN NEUROSCIENCE
(2023)
Review
Geriatrics & Gerontology
Yanbing Hou, Huifang Shang
Summary: Cognitive impairment is a common and disturbing complication in patients with Parkinson's disease. Magnetic resonance imaging has shown promise in identifying biomarkers associated with cognitive impairment. Various MRI techniques, including structural MRI and other specific MRI methods, can provide imaging features that predict cognitive impairment.
FRONTIERS IN AGING NEUROSCIENCE
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
Jiahui Zhang, Yuyuan Gao, Xuetao He, Shujun Feng, Jinlong Hu, Qingxi Zhang, Jiehao Zhao, Zhiheng Huang, Limin Wang, Guixian Ma, Yuhu Zhang, Kun Nie, Lijuan Wang
Summary: PD-MCI is characterized by widespread structural and EEG abnormalities. Composite markers could be valuable for the individualized diagnosis of PD-MCI through machine learning. The SVM model based on qEEG and structural MR features showed high accuracy in identifying PD-MCI.
EUROPEAN RADIOLOGY
(2021)
Article
Neurosciences
Qingguo Ren, Yihua Wang, Shanshan Leng, Xiaomin Nan, Bin Zhang, Xinyan Shuai, Jianyuan Zhang, Xiaona Xia, Ye Li, Yaqiong Ge, Xiangshui Meng, Cuiping Zhao
Summary: Radiomic features based on magnitude images can reflect the Hoehn-Yahr stage of PD to some extent. The LASSO logistic regression model showed good prediction efficacy in both the training and validation sets.
FRONTIERS IN NEUROSCIENCE
(2021)
Article
Clinical Neurology
Thomas Payne, Toby Burgess, Stephen Bradley, Sarah Roscoe, Matilde Sassani, Mark J. Dunning, Dena Hernandez, Sonja Scholz, Alisdair McNeill, Rosie Taylor, Li Su, Iain Wilkinson, Thomas Jenkins, Heather Mortiboys, Oliver Bandmann
Summary: This study characterized bioenergetic dysfunction in Parkinson's disease using a multimodal approach, and found impaired mitophagy and mitochondrial uncoupling in patient-derived fibroblasts. The study also revealed abnormal phosphocreatine levels and implicated a link between impaired mitophagy and impaired striatal energy homeostasis in early Parkinson's disease.
Article
Geriatrics & Gerontology
Yang Ya, Lirong Ji, Yujing Jia, Nan Zou, Zhen Jiang, Hongkun Yin, Chengjie Mao, Weifeng Luo, Erlei Wang, Guohua Fan
Summary: This study developed machine learning models for the diagnosis of Parkinson's disease using multiple structural MRI features and validated their performance. The combined model showed favorable diagnostic performance and clinical net benefit, with potential as a non-invasive method for PD diagnosis.
FRONTIERS IN AGING NEUROSCIENCE
(2022)
Review
Clinical Neurology
Miriam H. Terkelsen, Victor S. Hvingelby, Nicola Pavese
Summary: This review discusses the latest literature on GABAergic alterations in parkinsonian disorders, highlighting its role in motor symptoms, gait disturbances, cognition, and hallucinations. The review suggests potential research strategies for future neuroimaging studies on GABAergic changes in these disorders.
CURRENT NEUROLOGY AND NEUROSCIENCE REPORTS
(2022)
Review
Clinical Neurology
Rotem Iris Orad, Tamara Shiner
Summary: Dementia with Lewy bodies presents a diagnostic challenge due to clinical overlap with other neurodegenerative conditions, such as Parkinson's disease dementia and Alzheimer's disease. Neuroimaging plays a central role in improving diagnostic accuracy and management of this disorder.
JOURNAL OF NEUROLOGY
(2022)
Article
Geriatrics & Gerontology
Xinxin Ma, Shuhua Li, Chunmei Li, Rui Wang, Min Chen, Haibo Chen, Wen Su
Summary: The study aimed to evaluate the glymphatic system activity in Parkinson's disease (PD) patients using the DTI-ALPS method. Results showed that PD patients had lower ALPS index compared to normal controls, with late-stage PD patients exhibiting even lower ALPS index. The ALPS index was positively correlated with cognitive function in early PD and inversely associated with age in late PD.
FRONTIERS IN AGING NEUROSCIENCE
(2021)
Article
Biochemical Research Methods
Kyohei Okubo, Yuichi Kitagawa, Naoki Hosokawa, Masakazu Umezawa, Masao Kamimura, Tomonori Kamiya, Naoko Ohtani, Kohei Soga
Summary: The study demonstrated the use of near-infrared hyperspectral imaging for quantitatively visualizing lipid content in mouse liver, offering a non-invasive method for diagnosing fatty liver. The results show that support vector regression with standard normal variate pretreatment outperforms partial least squares regression in terms of accuracy and performance.
BIOMEDICAL OPTICS EXPRESS
(2021)
Article
Biochemical Research Methods
Mallory J. Stenslik, Lisa F. Potts, James W. H. Sonne, Wayne A. Cass, Jadwiga Turchan-Cholewo, Francois Pomerleau, Peter Huettl, Yi Ai, Don M. Gash, Greg A. Gerhardt, Luke H. Bradley
JOURNAL OF NEUROSCIENCE METHODS
(2015)
Article
Biochemical Research Methods
M. J. Stenslik, A. Evans, F. Pomerleau, R. Weeks, P. Huettl, E. Foreman, J. Turchan-Cholewo, A. Andersen, W. A. Cass, Z. Zhang, R. C. Grondin, D. M. Gash, G. A. Gerhardt, L. H. Bradley
JOURNAL OF NEUROSCIENCE METHODS
(2018)
Review
Neurosciences
Richard Grondin, O. Meagan Littrell, Zhiming Zhang, Yi Ai, Peter Huettl, Francois Pomerleau, Jorge E. Quintero, Anders H. Andersen, Mallory J. Stenslik, Luke H. Bradley, Jack Lemmon, Michael J. O'Neill, Don M. Gash, Greg A. Gerhardt
Article
Chemistry, Physical
Ryoichi Arai, Naoya Kobayashi, Akiho Kimura, Takaaki Sato, Kyoko Matsuo, Anna F. Wang, Jesse M. Platt, Luke H. Bradley, Michael H. Hecht
JOURNAL OF PHYSICAL CHEMISTRY B
(2012)
Article
Endocrinology & Metabolism
Kristen A. Kelps, Jadwiga Turchan-Cholewo, Erin R. Hascup, Tiffany L. Taylor, Don M. Gash, Greg A. Gerhardt, Luke H. Bradley
Article
Endocrinology & Metabolism
O. M. Littrell, J. L. Fuqua, A. D. Richardson, J. Turchan-Cholewo, E. R. Hascup, P. Huettl, F. Pomerleau, L. H. Bradley, D. M. Gash, G. A. Gerhardt
Article
Biochemistry & Molecular Biology
Joshua L. Fuqua, Ofelia M. Littrell, Martin Lundblad, Jadwiga Turchan-Cholewo, Lina G. Abdelmoti, Emilia Galperin, Luke H. Bradley, Wayne A. Cass, Don M. Gash, Greg A. Gerhardt
Article
Multidisciplinary Sciences
Luke H. Bradley, Josh Fuqua, April Richardson, Jadwiga Turchan-Cholewo, Yi Ai, Kristen A. Kelps, John D. Glass, Xiuquan He, Zhiming Zhang, Richard Grondin, O. Meagan Littrell, Peter Huettl, Francois Pomerleau, Don M. Gash, Greg A. Gerhardt
Article
Multidisciplinary Sciences
Michael A. Fisher, Kara L. McKinley, Luke H. Bradley, Sara R. Viola, Michael H. Hecht
Article
Multidisciplinary Sciences
Travis Sexton, Lisa J. Hitchcook, David W. Rodgers, Luke H. Bradley, Louis B. Hersh
Article
Biochemical Research Methods
Luke H. Bradley, Michael L. Bricken, Charlotte Randle
PROTEIN EXPRESSION AND PURIFICATION
(2011)
Article
Biochemical Research Methods
Roberta Magnani, Brian Chaffin, Emerson Dick, Michael L. Bricken, Robert L. Houtz, Luke H. Bradley
PROTEIN EXPRESSION AND PURIFICATION
(2012)
Article
Biochemistry & Molecular Biology
Shona C. Patel, Luke H. Bradley, Sayuri P. Jinadasa, Michael H. Hecht
Article
Cell Biology
Don Marshall Gash, Greg A. Gerhardt, Luke H. Bradley, Renee Wagner, John T. Slevin
CELL AND TISSUE RESEARCH
(2020)
Article
Biochemical Research Methods
Aline Silva da Cruz, Maria Margarida Drehmer, Wagner Baetas-da-Cruz, Joao Carlos Machado
Summary: This study quantified microcirculation cerebral blood flow in a rat model of ischemic stroke using ultrasound biomicroscopy and ultrasound contrast agents. The results showed high sensitivity and specificity of this method, making it a valuable tool for preclinical studies.
JOURNAL OF NEUROSCIENCE METHODS
(2024)
Article
Biochemical Research Methods
Christina Dalla, Ivana Jaric, Pavlina Pavlidi, Georgia E. Hodes, Nikolaos Kokras, Anton Bespalov, Martien J. Kas, Thomas Steckler, Mohamed Kabbaj, Hanno Wuerbel, Jordan Marrocco, Jessica Tollkuhn, Rebecca Shansky, Debra Bangasser, Jill B. Becker, Margaret McCarthy, Chantelle Ferland-Beckham
Summary: Many funding agencies have emphasized the importance of considering sex as a biological variable in experimental design to improve the reproducibility and translational relevance of preclinical research. Omitting the female sex from experimental designs in neuroscience and pharmacology can result in biased or limited understanding of disease mechanisms. This article provides methodological considerations for incorporating sex as a biological variable in in vitro and in vivo experiments, including the influence of age and hormone levels, and proposes strategies to enhance methodological rigor and translational relevance in preclinical research.
JOURNAL OF NEUROSCIENCE METHODS
(2024)
Article
Biochemical Research Methods
Wenyu Gu, Dongxu Li, Jia-Hong Gao
Summary: We developed a precise and rapid method for positioning and labelling triaxial OPMs on a wearable magnetoencephalography (MEG) system, improving the efficiency of OPM positioning and labelling.
JOURNAL OF NEUROSCIENCE METHODS
(2024)
Article
Biochemical Research Methods
Kai Lin, Linhang Zhang, Jing Cai, Jiaqi Sun, Wenjie Cui, Guangda Liu
Summary: The article introduces an EEG feature map processing model for emotion recognition, which achieves significantly improved accuracy by fusing EEG information at different spatial scales and introducing a channel attention mechanism.
JOURNAL OF NEUROSCIENCE METHODS
(2024)
Article
Biochemical Research Methods
John E. Parker, Asier Aristieta, Aryn H. Gittis, Jonathan E. Rubin
Summary: This work presents a toolbox that implements a methodology for automated classification of neural responses based on spike train recordings. The toolbox provides a user-friendly and efficient approach to detect various types of neuronal responses that may not be identified by traditional methods.
JOURNAL OF NEUROSCIENCE METHODS
(2024)
Article
Biochemical Research Methods
Yun Liang, Ke Bo, Sreenivasan Meyyappan, Mingzhou Ding
Summary: This study compared the performance of SVM and CNN on the same datasets and found that CNN achieved consistently higher classification accuracies. The classification accuracies of SVM and CNN were generally not correlated, and the heatmaps derived from them did not overlap significantly.
JOURNAL OF NEUROSCIENCE METHODS
(2024)
Article
Biochemical Research Methods
Antonino Visalli, Maria Montefinese, Giada Viviani, Livio Finos, Antonino Vallesi, Ettore Ambrosini
Summary: This study introduces an analytical strategy that allows the use of mixed-effects models (LMM) in mass univariate analyses of EEG data. The proposed method overcomes the computational costs and shows excellent performance properties, making it increasingly important in the field of neuroscience.
JOURNAL OF NEUROSCIENCE METHODS
(2024)
Article
Biochemical Research Methods
Xavier Cano-Ferrer, Alexandra Tran -Van -Minh, Ede Rancz
Summary: This study developed a novel rotation platform for studying neural processes and spatial navigation. The platform is modular, affordable, and easy to build, and can be driven by the experimenter or animal movement. The research demonstrated the utility of the platform, which combines the benefits of head fixation and intact vestibular activity.
JOURNAL OF NEUROSCIENCE METHODS
(2024)