Showing 121 - 140 results of 198 for search '"voxel"', query time: 0.05s Refine Results
  1. 121

    Analysis of Contact Position for Subthalamic Nucleus Deep Brain Stimulation-Induced Hyperhidrosis by Chunhui Yang, Yiqing Qiu, Xi Wu, Jiali Wang, Yina Wu, Xiaowu Hu

    Published 2019-01-01
    “…The straight-line distance between the center of the sweat contact and the nearest voxel of the red nucleus was closer than that of the control group (2.72 ± 0.65 mm VS 3.76 ± 0.85 mm, P=0.00012). …”
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  2. 122

    HDNLS: Hybrid Deep-Learning and Non-Linear Least Squares-Based Method for Fast Multi-Component T1ρ Mapping in the Knee Joint by Dilbag Singh, Ravinder R. Regatte, Marcelo V. W. Zibetti

    Published 2024-12-01
    “…To address these limitations of both approaches, we propose the HDNLS, a hybrid model for fast multi-component parameter mapping, particularly targeted for T1ρ mapping in the knee joint. HDNLS combines voxel-wise DL, trained with synthetic data, with a few iterations of NLS to accelerate the fitting process, thus eliminating the need for reference MRI data for training. …”
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  3. 123

    Through-wall Human Pose Reconstruction and Action Recognition Using Four-dimensional Imaging Radar by Rui ZHANG, Hanqin GONG, Ruiyuan SONG, Yadong LI, Zhi LU, Dongheng ZHANG, Yang HU, Yan CHEN

    Published 2025-02-01
    “…This network overcomes the limitations of mainstream deep learning libraries that currently lack 4D convolution capabilities, which hinders the effective use of multiframe three-Dimensional (3D) voxel spatiotemporal domain information. By preserving 3D spatial information and using long-sequence temporal information, the proposed ST2W-AP network considerably enhances the pose estimation and behavior recognition performance. …”
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  4. 124

    Changes in the Parietal Lobe Subregion Volume at Various Stages of Alzheimer’s Disease and the Role in Cognitively Normal and Mild Cognitive Impairment Conversion by Fang Lu, Qing Ma, Cailing Shi, Wenjun Yue

    Published 2025-01-01
    “…We measured the volume of the parietal subregion based on the Human Brainnetome Atlas (BNA-246) using voxel-based morphometry among individuals at various stages of AD and the progressive and stable individuals in CN and MCI. …”
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  5. 125

    Nonfluent/Agrammatic PPA with In-Vivo Cortical Amyloidosis and Pick’s Disease Pathology by Francesca Caso, Benno Gesierich, Maya Henry, Manu Sidhu, Amanda LaMarre, Miranda Babiak, Bruce L. Miller, Gil D. Rabinovici, Eric J. Huang, Giuseppe Magnani, Massimo Filippi, Giancarlo Comi, William W. Seeley, Maria Luisa Gorno-Tempini

    Published 2013-01-01
    “…Neuropsychological and general motor functions remained relatively spared throughout the clinical course. Voxel-based morphometry (VBM) showed selective cortical atrophy of the left posterior inferior frontal gyrus (IFG) and underlying insula that worsened over time, extending along the left premotor strip. …”
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  6. 126

    Non-Rigid Cycle Consistent Bidirectional Network with Transformer for Unsupervised Deformable Functional Magnetic Resonance Imaging Registration by Yingying Wang, Yu Feng, Weiming Zeng

    Published 2025-01-01
    “…Results: Compared with non-learning-based methods (Affine, Syn) and learning-based methods (Transmorph-tiny, Cyclemorph, VoxelMorph x2), our method improves the peak t-value of t-maps on DMN, VN, CEN, and SMN to 18.7, 16.5, 16.6, and 17.3 and the mean number of suprathreshold voxels (<i>p</i> < 0.05, t > 5.01) on the four networks to 2596.25, and there is an average improvement in peak t-value of 23.79%, 12.74%, 12.27%, 7.32%, and 5.43%. …”
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  7. 127

    Effect of High-Frequency Repetitive Transcranial Magnetic Stimulation on Patients with Post-Stroke Comorbid Cognitive Impairment and Depression by YANG Jinghan, LI Yamei, YU Qian

    Published 2024-04-01
    “…The 3.0T magnetic resonance imaging system was used to scan the patient's brain, and voxel-based morphological analysis was used to analyze the changes of gray matter density in local brain areas.ResultsCompared with those before treatment, the MMSE and MoCA scores were higher and the HAMD-17 score was lower in both groups after treatment, and the differences were statistically significant (<italic>P</italic>&lt;0.05). …”
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  8. 128

    Connectome-based disentangling of epilepsy networks from insular stereoelectroencephalographic leads by Kathrin Machetanz, Eliane Weinbrenner, Thomas Volkmar Wuttke, Silke Ethofer, Randolph Helfrich, Josua Kegele, Stephan Lauxmann, Michael Alber, Sabine Rona, Marcos Tatagiba, Holger Lerche, Jürgen Honegger, Georgios Naros

    Published 2025-01-01
    “…The resulting epilepsy networks were correlated to the corresponding semiology by voxel-wise regression and multivariate analyses of variances.ResultsEpileptic foci were found in the posterior insula for somatosensory, other sensory and motor seizures, while cognitive and autonomic symptoms were related to the anterior insula. …”
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  9. 129

    Altered resting-state cerebral blood flow and its relationship with molecular architecture in tremor dominant Parkinson’s disease by Shangpei Wang, Yajie Cai, Yibin Zhao, Yongqiang Yu, Xianwen Chen, Longsheng Wang

    Published 2025-03-01
    “…The altered CBF were derived by a voxel-wised two sample t-test compare and spatial correlated with serotonin, dopamine, γ-aminobutyric acid, opioid, noradrenaline, N-methyl-D-aspartic acid, acetylcholine and glutamate neurotransmitter density maps. …”
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  10. 130

    Primary Cognitive Factors Impaired after Glioma Surgery and Associated Brain Regions by Chiharu Niki, Takatsune Kumada, Takashi Maruyama, Manabu Tamura, Takakazu Kawamata, Yoshihiro Muragaki

    Published 2020-01-01
    “…Next, lesion analyses were performed using voxel-based lesion-symptom mapping (VLSM) to identify critical brain regions related to impairments of the primary cognitive functions. …”
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  11. 131

    Predicting local control of brain metastases after stereotactic radiotherapy with clinical, radiomics and deep learning features by Hemalatha Kanakarajan, Wouter De Baene, Patrick Hanssens, Margriet Sitskoorn

    Published 2024-12-01
    “…Materials and methods We collected pre-treatment brain MRIs (TR/TE: 25/1.86 ms, FOV: 210 × 210 × 150, flip angle: 30°, transverse slice orientation, voxel size: 0.82 × 0.82 × 1.5 mm) and clinical data for 129 patients at the Gamma Knife Center of the Elisabeth-TweeSteden Hospital. …”
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  12. 132

    Cerebral Reorganization in Subacute Stroke Survivors after Virtual Reality-Based Training: A Preliminary Study by Xiang Xiao, Qiang Lin, Wai-Leung Lo, Yu-Rong Mao, Xin-chong Shi, Ryan S. Cates, Shu-Feng Zhou, Dong-Feng Huang, Le Li

    Published 2017-01-01
    “…Statistically significant improvements were observed in gait velocity (p<0.05). The change in voxel counts in the primary sensorimotor cortex of the lesioned hemisphere is significantly correlated with improvement of 10 m walk time after VRET (r=−0.719). …”
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  13. 133

    The Essential Role of Monte Carlo Simulations for Lung Dosimetry in Liver Radioembolization—Part B: <sup>166</sup>Ho Microspheres by Edoardo d’Andrea, Andrea Politano, Bartolomeo Cassano, Nico Lanconelli, Marta Cremonesi, Vincenzo Patera, Massimiliano Pacilio

    Published 2025-01-01
    “…This study compares dosimetric approaches for lung dosimetry in <sup>166</sup> radioembolization (Ho-TARE) with direct Monte Carlo (MC) simulations on a voxelized anthropomorphic phantom derived from a real patient’s CT scan, preserving the patient’s lung density distribution. …”
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  14. 134

    Differential gray matter correlates and machine learning prediction of abuse and internalizing psychopathology in adolescent females by Sara A. Heyn, Taylor J. Keding, Josh Cisler, Katie McLaughlin, Ryan J. Herringa

    Published 2025-01-01
    “…First, we characterized how differences in GMV associated with childhood abuse exposure depend on the presence or absence of IP using voxel-based morphometry (VBM). Next, we trained convolutional neural networks to predict individual psychopathology and abuse experience and estimated the strength and direction of importance of each structural feature in making individual-level predictions using Shapley values. …”
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  15. 135

    Anatomical Covariance Analysis: Detection of Disrupted Correlation Network Related to Clinical Trait Fatigue in Multiple Sclerosis: A Pilot Study by Rosalia Dacosta-Aguayo, Glenn Wylie, John DeLuca, Helen Genova

    Published 2020-01-01
    “…PwMS were stratified into nonclinical fatigue (nF-MS, FSS≤4.0) (n=10) and clinical fatigue (F-MS, FSS≥5.0) (n=10). Voxel-based morphometry analysis (VBM) for the whole sample (n=20) and for the two groups was performed. …”
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  16. 136

    Cerebrospinal Fluid BACE1 Activity and Brain Amyloid Load in Alzheimer's Disease by Timo Grimmer, Panagiotis Alexopoulos, Amalia Tsolakidou, Liang-Hao Guo, Gjermund Henriksen, Behrooz H. Yousefi, Hans Förstl, Christian Sorg, Alexander Kurz, Alexander Drzezga, Robert Perneczky

    Published 2012-01-01
    “…We explored associations between CSF BACE1 activity and fibrillar amyloid pathology as measured by carbon-11-labelled Pittsburgh Compound B positron emission tomography ([11C]PIB PET). [11C]PIB and CSF studies were performed in 31 patients with AD. Voxel-based linear regression analysis revealed significant associations between CSF BACE1 activity and [11C]PIB tracer uptake in the bilateral parahippocampal region, the thalamus, and the pons. …”
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  17. 137

    Glucose Metabolic Brain Network Differences between Chinese Patients with Lewy Body Dementia and Healthy Control by Danyan Chen, Jiaying Lu, Hucheng Zhou, Jiehui Jiang, Ping Wu, Qihao Guo, Jingjie Ge, Huiwei Zhang, Kuangyu Shi, Chuantao Zuo

    Published 2018-01-01
    “…Finally, IFGoperc.R was selected as a seed and a voxel-wise correlation analysis was performed. Compared to the HC group, the DLB group showed several regions of strengthened connection with IFGoperc.R; these regions were located in the prefrontal cortex and regions of weakened connection were located in the occipital cortex. …”
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  18. 138

    Association of individual-based morphological brain network alterations with cognitive impairment in type 2 diabetes mellitus by Die Shen, Xuan Huang, Ziyu Diao, Jiahe Wang, Kun Wang, Weiye Lu, Shijun Qiu, Shijun Qiu

    Published 2025-01-01
    “…ObjectiveTo investigate the altered characteristics of cortical morphology and individual-based morphological brain networks in type 2 diabetes mellitus (T2DM), as well as the neural network mechanisms underlying cognitive impairment in T2DM.MethodsA total of 150 T2DM patients and 130 healthy controls (HCs) were recruited in this study. The study used voxel- and surface-based morphometric analyses to investigate morphological alterations (including gray matter volume, cortical thickness, cortical surface area, and localized gyrus index) in the brains of T2DM patients. …”
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  19. 139

    Age of Insomnia Onset Correlates with a Reversal of Default Mode Network and Supplementary Motor Cortex Connectivity by Emiliano Santarnecchi, Chiara Del Bianco, Isabella Sicilia, Davide Momi, Giorgio Di Lorenzo, Salvatore Ferrone, Giulia Sprugnoli, Simone Rossi, Alessandro Rossi

    Published 2018-01-01
    “…We investigated changes of voxel-wise connectivity patterns in a sample of 17 drug-naïve PI patients and 17 age-gender matched healthy controls, as well as the relationship between brain connectivity and age of onset, illness duration, and severity. …”
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  20. 140

    Graph analysis based on SCN reveals novel neuroanatomical targets related to tinnitus distress by Yawen Lu, Yifeng Yang, Meijing Yan, Lianxi Sun, Caixia Fu, Jianwei Zhang, Jianwei Zhang, Yuehong Liu, Kefeng Li, Zhao Han, Guangwu Lin, Shihong Li

    Published 2025-01-01
    “…Gray matter volume (GMV) of each participant was extracted using voxel-based morphometry, a group-level structural covariance network (SCN) was constructed based on the GMV of each participant, and graph theoretic analyses were performed using graph analysis toolbox (GAT). …”
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