Showing 481 - 500 results of 626 for search '"Neuroimaging"', query time: 0.06s Refine Results
  1. 481

    Identification of Alzheimer’s Disease Progression Stages Using Topological Measures of Resting-State Functional Connectivity Networks: A Comparative Study by Zhanxiong Wu, Jinhui Wu, Xumin Chen, Xun Li, Jian Shen, Hui Hong

    Published 2022-01-01
    “…A total of 54 subjects from Alzheimer’s Disease Neuroimaging Initiative (ANDI) database, divided into healthy control (HC), mild cognition impairment (MCI), and AD groups, were included in this study. …”
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    Article
  2. 482

    Preclinical Cognitive Markers of Alzheimer Disease and Early Diagnosis Using Virtual Reality and Artificial Intelligence: Literature Review by María de la Paz Scribano Parada, Fátima González Palau, Sonia Valladares Rodríguez, Mariano Rincon, Maria José Rico Barroeta, Marta García Rodriguez, Yolanda Bueno Aguado, Ana Herrero Blanco, Estela Díaz-López, Margarita Bachiller Mayoral, Raquel Losada Durán

    Published 2025-01-01
    “…ResultsFollowing an analysis of 38 selected articles, we highlight verbal episodic memory as a sensitive preclinical AD marker, with supporting evidence from neuroimaging and genetic profiling. Executive functions precede memory decline, while processing speed is a significant correlate. …”
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    Article
  3. 483

    Ten-Year Follow-Up of Collision Tumors Composed of Craniopharyngioma and Pituitary Adenoma: A Case Report and Literature Review by Takeshi Miyazaki, Kentaro Kowari, Hirotake Eda, Mizuki Kambara, Riruke Maruyama, Yasuhiko Akiyama

    Published 2019-01-01
    “…A 48-year-old male visited our hospital because of consciousness disturbance. The neuroimaging revealed a sellar tumor contact with a massive suprasellar cyst including calcification. …”
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    Article
  4. 484

    Causal Link between Ventricular Ectopy and Concussion by J. Patrick Neary, Jyotpal Singh, Jonathan P. Christiansen, Taylor A. Teckchandani, Kirsty L. Potter

    Published 2020-01-01
    “…The patient, WJT, was referred for cardiac and neurological assessment. Structural neuroimaging of the brain (MRI) was unremarkable, but electrocardiography (ECG) assessments using a 24-hour Holter monitor revealed significant incidence of ventricular ectopy (9.4%; 9,350/99,836 beats) over a period of 5–6 months after injury and then a further increase in ventricular ectopy to 18% (15,968/88,189 beats) during the subsequent 3 months. …”
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    Article
  5. 485

    A Journey into the Complexity of Temporo-Insular Gliomas: Case Report and Literature Review by Manuel De Jesus Encarnacion Ramirez, Gervith Reyes Soto, Carlos Castillo Rangel

    Published 2025-01-01
    “…Despite advancements in neuroimaging and surgical techniques, their management remains complex due to their location near critical cognitive areas. …”
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    Article
  6. 486

    Complications and Mortality Characterization in Acute Ischemic Cerebrovascular Disease by Ricardo Leyva Tornés, Lázaro Ibrahim Romero García, Esther Mayor Guerra, Yordanis Páez Candelaria, Karima Gondres Legró, Pedro Alexei Bacardí Zapata

    Published 2021-09-01
    “…The variables selected were: sex, type of complications, topography of the lesion by neuroimaging, state at discharge, and direct cause of death. 95 % confidence intervals were computed. …”
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    Article
  7. 487

    Decoding HIV-associated neurocognitive disorders: a new perspective from multimodal connectomics by Zhongkai Zhou, Wei Wang, Hui Li, Ying Shi, Lingling Zhao, Yibo Lu, Xingchen Wei, Hongjun Li

    Published 2025-01-01
    “…In recent years, connectomics has been gradually applied to HAND research as a cutting-edge method for describing the structural and functional connectivity patterns of the brain, to further elucidate the specific mechanisms underlying these neural circuit vulnerabilities. Using multimodal neuroimaging techniques such as diffusion tensor imaging (DTI), structural magnetic resonance imaging (sMRI), and resting-state functional magnetic resonance imaging (rs-fMRI), researchers can detail the connectome network changes in the brains of PLWH. …”
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    Article
  8. 488

    Use of pattern recognition in photoacoustic imaging to identify neuronal ensembles in the prefrontal cortex of rats undergoing conditioned fear learning by Shane A. Perrine, Mohammad Beirami, James I. Matchynski, Rayyan Manwar, Srinivasu Kallakuri, Alana C. Conti, Kamran Avanaki

    Published 2025-02-01
    “…Pattern recognition analysis in brain research has improved understanding of sensory processing and led to the identification of default brain networks in neuroimaging studies. The current study uses pattern recognition analysis to extend our previous findings showing conditioned fear learning and novelty-exposure (i.e. sham conditioning) equally increase Fos-dependent neuronal ensemble signal intensity in the prefrontal cortex (PFC) of rats as quantified by photoacoustic imaging (e.g. functional/molecular photoacoustic tomography). …”
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  9. 489

    Predicting Alzheimer Disease From Mild Cognitive Impairment With a Deep Belief Network Based on 18F-FDG-PET Images by Ting Shen MsD, Jiehui Jiang PhD, Jiaying Lu MD, Min Wang MsD, Chuantao Zuo MD, PhD, Zhihua Yu, Zhuangzhi Yan PhD

    Published 2019-09-01
    “…Methods: 18F-fluorodeoxyglucose-PET images of 109 patients recruited in the ongoing longitudinal Alzheimer’s Disease Neuroimaging Initiative study were included in this analysis. …”
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  10. 490

    Influence of next-generation artificial intelligence on headache research, diagnosis and treatment: the junior editorial board members’ vision – part 2 by Igor Petrušić, Chia-Chun Chiang, David Garcia-Azorin, Woo-Seok Ha, Raffaele Ornello, Lanfranco Pellesi, Eloisa Rubio-Beltrán, Ruth Ruscheweyh, Marta Waliszewska-Prosół, William Wells-Gatnik

    Published 2025-01-01
    “…Digital twins, as dynamic digital representations of patients, offer opportunities for personalized headache management by integrating diverse datasets such as neuroimaging, multiomics, and wearable sensor data to advance headache research, optimize treatment, and enable virtual trials. …”
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    Article
  11. 491

    Intervention Models in Functional Connectivity Identification Applied to fMRI by João Ricardo Sato, Daniel Yasumasa Takahashi, Ellison Fernando Cardoso, Maria da Graça Morais Martin, Edson Amaro Júnior, Pedro Alberto Morettin

    Published 2006-01-01
    “…Recent advances in neuroimaging techniques have provided precise spatial localization of brain activation applied in several neuroscience subareas. …”
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    Article
  12. 492

    Spectrum-specific encephalography standardized low-resolution brain electromagnetic tomography network and gray matter correlations in vascular dementia patients by Yan Lv, Huijuan Chen, Zhiyan Sui, Yingliu Huang, Shixiong Huang, Feng Chen, Guoqiang Wen

    Published 2020-01-01
    “…The encephalography and neuroimaging data mining at different stages would bring neuromodulation strategies in practice; 15 mild cognitive impairment patients and 16 mild vascular dementia patients as well as 17 cognitive healthy controls were screened in this study. …”
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    Article
  13. 493

    Multimodal fluorescence-optoacoustic in vivo imaging of the near-infrared calcium ion indicator NIR-GECO2G by Sarah F. Shaykevich, Justin P. Little, Yong Qian, Marie-Eve Paquet, Robert E. Campbell, Daniel Razansky, Shy Shoham

    Published 2025-02-01
    “…However, it has not yet been applied in the near-infrared (NIR) range that provides deep penetration and low vascular background optimal for in vivo neuroimaging. Here, we study the noninvasive multimodal fluorescence and optoacoustic imaging performance of state-of-the-art NIR calcium ion indicator NIR-GECO2G in the mouse brain. …”
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  14. 494

    The visuomotor synchronization immersive virtual reality of a depression avatar in a stigma context experience mobilizes the fronto-parietal cortex and anterior insula by Kelssy Hitomi dos Santos Kawata, Kelssy Hitomi dos Santos Kawata, Wey Guan Lem, Koki Ono, Hiroshi Oyama

    Published 2025-01-01
    “…IntroductionThe gradual synchronization of the movement of one’s real hand with a virtual one can effectively induce a sense of embodiment (SoE) with an avatar with depression. Although neuroimaging studies have explored the neural correlates of some SoE subcomponents of visuomotor synchronization, the neural correlates of individual differences in SoE and how humans acquire virtual body representations through SoE subcomponents remain to be investigated.MethodsHere, we used the right hand of a virtual patient with depression in immersive virtual reality (IVR) to induce SoE in participants and measured whole brain activity using functional magnetic resonance imaging (fMRI). …”
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  15. 495
  16. 496

    Sensation seeking and risk adjustment: the role of reward sensitivity in dynamic risky decisions by Yin Qianlan, Chen Shou, Hou Tianya, Dong Wei, Taosheng Liu

    Published 2025-02-01
    “…Employing advanced neuroimaging and cognitive modeling techniques will be pivotal in unraveling the neural mechanisms driving these individual differences in risky behavior.…”
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    Article
  17. 497

    The Impact of Online Learning System on Students Affected with Stroke Disease by Sobia Wassan, Chen Xi, Tian Shen, Kamal Gulati, Kinza Ibraheem, Rana M. Amir Latif Rajpoot

    Published 2022-01-01
    “…Sleep deprivation (SD) includes a variety of factors, including prolonged awake. Neuroimaging investigates SD’s impact on attention, working memory, mood, and hippocampal learning. …”
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    Article
  18. 498

    Altered Brain Glucose Consumption in Cogan’s Syndrome by Paolo Mora, Livia Ruffini, Caterina Ghetti, Stella Ghirardini, Maura Scarlattei, Giorgio Baldari, Carla Cidda, Pierangela Rubino, Stefano A. Gandolfi, Jelka G. Orsoni

    Published 2016-01-01
    “…This study revealed areas of significantly altered CMRglc in patients with CS (any subform) without neurologic complains and normal conventional neuroimaging. Our results suggest that FDG-PET/CT may represent a very useful tool for the global assessment of patients with Cogan’s syndrome.…”
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    Article
  19. 499

    Comparison of Amino Acid PET to Advanced and Emerging MRI Techniques for Neurooncology Imaging: A Systematic Review of the Recent Studies by Brittany M. Stopa, Csaba Juhász, Sandeep Mittal

    Published 2021-01-01
    “…Introduction. Standard neuroimaging protocols for brain tumors have well-known limitations. …”
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  20. 500