Showing 81 - 100 results of 301 for search '(structural OR structure) morphometry', query time: 0.11s Refine Results
  1. 81

    Magnetic resonance imaging of brain structural and functional changes in cognitive impairment associated with Parkinson’s disease by Danna Cao, Jinhuan Yue, Jinhuan Yue, Zeyi Wei, Dong-Hong Huang, Xuchen Sun, Ke-Xuan Liu, Peng Wang, Fan Jiang, Xiaoling Li, Qinhong Zhang, Qinhong Zhang

    Published 2024-12-01
    “…Magnetic Resonance Imaging (MRI) has emerged as a valuable tool for investigating the structural and functional brain changes associated with cognitive impairment in PD (PD-CI). …”
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    Article
  2. 82

    Structural brain alterations in patients with anxious depression: evidence from the REST-meta-MDD project by Songhao Hu, Songhao Hu, Li Zhu, Li Zhu, Xiang-Yang Zhang

    Published 2025-07-01
    “…Emerging neuroimaging evidence shows that AD patients have significantly altered brain structure. This study aimed to identify reliable neuroimaging biomarkers for AD in a Chinese cohort.MethodsParticipants were recruited from the REST-meta-MDD project, including 178 MDD patients and 89 healthy controls. …”
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  3. 83

    Investigating the neural correlates of the left thalamus in women with fibromyalgia: A Granger causality and voxel-based morphometry approach by Elijah Agoalikum, Hongzhou Wu, Benjamin Klugah-Brown, Michael Maes

    Published 2025-07-01
    “…This study aims to investigate the structural and functional correlates of the left thalamus in fibromyalgia patients using a combined Granger causality and voxel-based morphometry approach. …”
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    Article
  4. 84
  5. 85

    Larger mid-dorsolateral prefrontal gray matter volume in young binge drinkers revealed by voxel-based morphometry. by Sonia Doallo, Fernando Cadaveira, Montserrat Corral, Nayara Mota, Eduardo López-Caneda, Socorro Rodríguez Holguín

    Published 2014-01-01
    “…We used voxel-based morphometry on the structural magnetic resonance images of subjects reporting a persistent (at least three years) binge drinking pattern of alcohol use (n = 11; age 22.43 ± 1.03) and control subjects (n = 21; age 22.18 ± 1.08) to measure differences in gray matter volume between both groups. …”
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  6. 86
  7. 87

    No association of COMT (Val158Met) genotype with brain structure differences between men and women. by Anna Barnes, Matti Isohanni, Jennifer H Barnett, Olli Pietiläinen, Juha Veijola, Jouko Miettunen, Tiina Paunio, Päivikki Tanskanen, Khanum Ridler, John Suckling, Edward T Bullmore, Graham K Murray, Peter B Jones

    Published 2012-01-01
    “…We examined the effect of the catechol-O-methyltransferase (COMT) Val158Met polymorphism (rs4680), on brain structure in a subset (N = 82) of general population members of the Northern Finland 1966 Birth Cohort, selected through a randomization procedure, aged 33-35. …”
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  8. 88

    Altered trabecular bone structure and delayed cartilage degeneration in the knees of collagen VI null mice. by Susan E Christensen, Jeffrey M Coles, Nicole A Zelenski, Bridgette D Furman, Holly A Leddy, Stefan Zauscher, Paolo Bonaldo, Farshid Guilak

    Published 2012-01-01
    “…The absence of type VI collagen has profound effects on knee joint structure and morphometry, yet minimal influences on the physical properties of the cartilage. …”
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    Article
  9. 89

    Magnetic Resonance Imaging Characteristics of Brain Structure and Neuroendocrine Changes in Patients with First-Episode Schizophrenia by Kai Yang, Xianxiang Zeng, Li Hu, Jinhong Chen, Weiwei Zhu, Yu Wang, Xiaoxiong Zhao

    Published 2023-01-01
    “…This research was aimed to investigate the magnetic resonance imaging (MRI) features of brain structure and neuroendocrine levels in patients with first-episode schizophrenia. 25 hospitalized patients with first-episode schizophrenia were selected as the observation group, while 25 healthy people were selected as the control group. …”
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    Article
  10. 90

    Abnormal structural covariance network in major depressive disorder: Evidence from the REST-meta-MDD project by Changmin Chen, Yuhan Liu, Yu Sun, Wenhao Jiang, Yonggui Yuan, Zhao Qing

    Published 2025-01-01
    “…In the current study, we employed source-based morphometry (SBM) and structural covariance network (SCN) analyses to a large multi-center sample from the REST-meta-MDD database, aiming to characterize robust results of structural abnormalities in MDD. …”
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  11. 91

    Alterations of gray matter volume and structural covariance network in unilateral frontal lobe low-grade gliomas by Yue Hu, Jianxun Xu, Ji Xiong, Kun Lv, Daoying Geng

    Published 2025-05-01
    “…The voxel-based morphometry (VBM) analysis and graph theoretical analysis of SCN were conducted to investigate the impact of unilateral FLGGs on the brain structure. …”
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  12. 92
  13. 93

    Brain structural differences between fibromyalgia patients and healthy control subjects: a source-based morphometric study by Elijah Agoalikum, Hongzhou Wu, Benjamin Klugah-Brown, Michael Maes

    Published 2025-05-01
    “…Source-based morphometry (SBM) was applied to structural magnetic resonance imaging (sMRI) data consisting of 20 FM patients (46.4 ± 12.5), and age and gender-matched 20 HC subjects (42.1 ± 12.5). …”
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  14. 94

    Unraveling gender-specific structural brain differences in drug-resistant epilepsy using advanced deep learning techniques by Sema Athamnah, Enas Abdulhay, Firas Fohely, Ammar A. Oglat, Mohammed Ibbini

    Published 2024-01-01
    “…Additionally, it will introduce an innovative preprocessing pipeline, the 3D brain pipeline, and compare it with the standard voxel-based morphometry (VBM) pipeline. the results concluded that there are obvious structural brain differences between genders in epileptic patients, which can be effectively predicted by deep learning approaches, despite the variations that could be raised from age and development of epilepsy. …”
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  15. 95

    Patagonian toothfish (Dissostichus eleginoides) stocks in South American waters and its implications for fishery management by Otto C. Wöhler, Patricia A. Martínez, Gonzalo H. Troccoli, Emiliano J. Di Marco

    Published 2024-12-01
    “…Genetic studies, otolith microchemistry, morphometry, parasitic fauna, tagging programs, reproductive characteristics, and the impact of ocean circulation on dispersal and recruitment were analyzed. …”
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    Article
  16. 96

    Assessment of localized brain regions correlated with MMSE using VBM analysis of structural MRI in a Japanese sample by Yoichi Sawada, Toru Satoh, Hideaki Saba, Yoshiki Kato, Tomoko Kuwada, Sayoko Shima, Kana Murakami, Megumi Sasaki, Yudai Abe, Kaori Harano

    Published 2025-06-01
    “…This cross-sectional study employed voxel-based morphometry (VBM) analysis of structural magnetic resonance imaging (MRI) to explore brain regions positively correlated with MMSE scores in a cohort of 510 participants. …”
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  17. 97

    Surface-based morphometry of the cerebral cortex in cognitive impairments of varying severity in patients with age-related cerebral small vessel disease by Elena I. Kremneva, Larisa A. Dobrynina, Kamila V. Shamtieva, Victoria V. Trubitsyna, Zukhra S. Gadzhieva, Angelina G. Makarova, Maria M. Tsypushtanova, Marina V. Krotenkova

    Published 2024-12-01
    “…BACKGROUND: Analysis of structural magnetic resonance images is essential to assessing the main substrate of cognitive impairment in sporadic age-related cerebral small vessel disease, accounting for up to 45% of all dementia cases. …”
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  18. 98

    The Antiproliferative and Spermicide Effects of D-Limonene on Gonadal Function in Male Albino Rats: A Comprehensive Study on Spermatogenesis and Gonadal Morphometry by Akbar Dimas Herdiansyah, Neo Rakka Yudistira, Nadya Ashila Afandik, Nazwa Meiliza, Kresna Ryan Ardiansyah, Trilas Sardjito, Samira Musa Sasi

    Published 2025-05-01
    “…Additionally, the presence of necrotic cells and structural changes in testicular tissues were observed, supporting the adverse impact of D-Limonene on reproductive function. …”
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  19. 99
  20. 100

    Voxel- and surface-based morphometry in the cortical thickness and cortical and subcortical gray matter volume in patients with mild-to-moderate Alzheimer’s disease by Kaidi Li, Kaidi Li, Dingling Xie, Zhengyong Zhang, Chunyu Fu, Chunyu Fu, Chunyang Li

    Published 2025-06-01
    “…AimThis study aimed to investigate alterations in whole-brain cortical thickness (CT) and cortical and subcortical gray matter volume (GMV) in patients with Alzheimer’s disease (AD) compared with healthy controls (HC) using voxel-based morphometry (VBM) and surface-based morphometry (SBM). …”
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