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1561por Demidenko, Michael I., Huntley, Edward D., Jahn, Andrew, Thomason, Moriah E., Monk, Christopher S., Keating, Daniel P.“…Analyses included examination of a priori regions of interest (ROIs); and exploratory non-parametric, whole-brain analyses. …”
Publicado 2020
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1562por Lin, Feng, Cheng, Shao-Qiang, Qi, Dong-Qing, Jiang, Yu-Er, Lyu, Qian-Qian, Zhong, Li-Juan, Jiang, Zhong-Li“…The first activity estimates the relative differences of the signal amplitudes in regions of interest (ROI) and the second activity measures the statistical dependence among signal fluctuations. …”
Publicado 2020
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1563por Udo, Niki, Hashimoto, Naoki, Toyonaga, Takuya, Isoyama, Tomoyuki, Oyanagi, Yuka, Narita, Hisashi, Shiga, Tohru, Nakagawa, Shin, Kusumi, Ichiro“…SPECT images were overlaid with images in striatal regions of interest (ROIs), and the SPECT values in these regions were counted. …”
Publicado 2020
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1564por Nakagawa, Shuji, Arai, Yuji, Inoue, Hiroaki, Fujii, Yuta, Kaihara, Kenta, Mikami, Yasuo“…T(2) values 6 months after surgery in 3 ROIs at flexion angles of 30° to 50° were significantly longer than those before surgery. …”
Publicado 2020
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1565por Burdette, Jonathan H., Laurienti, Paul J., Miron, Laura L., Bahrami, Mohsen, Simpson, Sean L., Nicklas, Barbara J., Fanning, Jason, Rejeski, W. Jack“…RESULTS: The Power of Food Scale was most related to ROI 1, which includes the visual cortex and sensorimotor processing areas during only the food cue state. …”
Publicado 2020
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1566por Wagley, Neelima, Lajiness-O’Neill, Renee, Hay, Jessica S. F., Ugolini, Margaret, Bowyer, Susan M., Kovelman, Ioulia, Brennan, Jonathan R.“…In typically developing children, we observed a neural index of learning in all three regions of interest (ROIs), measured by the change in evoked response amplitude as a function of syllable surprisal across passage repetitions. …”
Publicado 2020
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1567por Wei, Lise, Rosen, Benjamin, Vallières, Martin, Chotchutipan, Thong, Mierzwa, Michelle, Eisbruch, Avraham, El Naqa, Issam“…Seven designated features were extracted from ROIs (regions of interest) and machine learning with random forests was used for building the artifact detection algorithm. …”
Publicado 2019
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1568por Daniel, Andy G S, Park, Ki Yun, Roland, Jarod L, Dierker, Donna, Gross, James, Humphries, Joseph B, Hacker, Carl D, Snyder, Abraham Z, Shimony, Joshua S, Leuthardt, Eric C“…METHODS: We used predefined FC regions of interest (ROIs) in de novo GBM patients to characterize the presence of within-tumor FC observable via resting-state functional MRI and its relationship to survival outcomes. …”
Publicado 2020
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1569por Nasiriavanaki, Zahra, Barbour, Tracy, Farabaugh, Amy H., Fava, Maurizio, Holmes, Avram J., Tootell, Roger B.H., Holt, Daphne J.“…RESULTS: A region-of-interest (ROI) analysis, focused on six cortical regions of the PPS network that showed significant responses to approaching versus withdrawing face stimuli in an independent sample (n = 80), revealed that anxious attachment style (but not the other 3 attachment styles) was significantly positively correlated with responses to faces (but not to cars) in all six ROIs (r = 0.33–0.49, p = 0.01–0.0001, n = 50). …”
Publicado 2021
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1570“…Parameters were extracted from each ROI using the GLCM algorithm, which is widely used in ultrasound image analysis. …”
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1571por Dworetsky, Ally, Seitzman, Benjamin A., Adeyemo, Babatunde, Neta, Maital, Coalson, Rebecca S., Petersen, Steven E., Gratton, Caterina“…We produced a set of high-probability regions of interest (ROIs) from these probabilistic maps; these and the probabilistic maps are made publicly available, together with a tool for querying the network membership probabilities associated with any given cortical location. …”
Publicado 2021
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1572por Tan, Jinyun, Sun, Xijun, Wang, Shaoyu, Ma, Baoqin, Chen, Zhaohui, Shi, Yaowei, Zhang, Li, Shah, Mohd Asif“…After image processing, regions of interest (ROIs) were selected from the image to measure the rate constant (Kep), extravascular space volume fraction (Ve), and tissue volume transfer constant (Ktrans). …”
Publicado 2021
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1573por Noguchi-Shinohara, Moeko, Koike, Masato, Morise, Hirofumi, Kudo, Kiwamu, Tsuchimine, Shoko, Komatsu, Junji, Abe, Chiemi, Kitagawa, Sachiko, Ikeda, Yoshihisa, Yamada, Masahito“…We analyzed the neural responses by evaluating maximum source-localized power for the AD-MCI group (n = 11) and CU (n = 20), focusing on six regions of interest (ROIs) that form the DLPFC: right and left dorsal Brodmann area 9/46 (A9/46d), Brodmann area 46 (A46) and ventral Brodmann area 9/46 (A9/46v). …”
Publicado 2021
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1574por Song, Heekyoung, Bak, Seongeun, Kim, Imhyeon, Woo, Jae Yeon, Cho, Eui Jin, Choi, Youn Jin, Rha, Sung Eun, Oh, Shin Ah, Youn, Seo Yeon, Lee, Sung Jong“…The mean ADC values (ADC(mean)) were derived from the regions of interest (ROIs) of each largest solid portion. Logistic regression and three types of machine learning (ML) applications were used to analyse the ADCs and clinical factors. …”
Publicado 2021
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1575por Torbati, Mahbaneh Eshaghzadeh, Minhas, Davneet S., Ahmad, Ghasan, O’Connor, Erin E., Muschelli, John, Laymon, Charles M., Yang, Zixi, Cohen, Ann D., Aizenstein, Howard J., Klunk, William E., Christian, Bradley T., Hwang, Seong Jae, Crainiceanu, Ciprian M., Tudorascu, Dana L.“…Neuroradiological evaluation was conducted for 7 different regions of interest (ROI’s) pertinent to Alzheimer’s disease (AD). Cortical measures and results indicate that: (1) RAVEL substantially improved the reproducibility of image intensities; (2) ComBat is preferred over RAVEL and the RAVEL-ComBat combination in terms of regional level harmonization due to more consistent harmonization across subjects and image-derived measures; (3) RAVEL and ComBat substantially reduced bias compared to analysis of RAW images, but RAVEL also resulted in larger variance; and (4) the larger root mean square deviation (RMSD) of RAVEL compared to ComBat is due mainly to its larger variance.…”
Publicado 2021
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1576“…AIMS: (1) To catalogue and map all singing for health and wellbeing groups in the Republic of Ireland (ROI); (2) determine how they prioritise health outcomes; (3) understand what they consider success; and (4) identify gaps in provision. …”
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1577“…However, few if any software packages currently exist that offer fully automated pipelines for QSM-based data analyses: from DICOM images to region-of-interest (ROI) based QSM values. Even less QSM-based software exist that offer quality control measures for evaluating the QSM output. …”
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1578“…The lowest T(mean) values for ROIs were recorded in week 3 of the study and then they gradually increased, in week 6 after surgery, to the following values: chin = 33.1 ± 0.72 °C; cheek left = 33.0 ± 0.26 °C; cheek right = 33.2 ± 0.51 °C; ZFL = 33.8 ± 0.45 °C; ZFR = 33.6 ± 0.74 °C; ZLL = 32.6 ±0.55 °C; ZLR = 32.3 ± 0.32 °C. …”
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1579“…In this study, we tried to tackle the problem of collinearity due to the higher number of signals in the source space by two folds: first, we selected signals in predefined regions of interest (ROIs); second, we applied dimensionality reduction techniques to each ROI. …”
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1580por El Ouadih, Youssef, Pereira, Bruno, Biau, Julian, Claise, Béatrice, Chaix, Rémi, Verrelle, Pierre, Khalil, Toufik, Durando, Xavier, Lemaire, Jean-Jacques“…(1) Background: Glioblastoma multiforme (GBM) shows complex mechanisms of spreading of the tumor cells, up to remote areas, and little is still known of these mechanisms, thus we focused on MRI abnormalities observable in the tumor and the brain adjacent to the lesion, up to the contralateral hemisphere, with a special interest on tensor diffusion imaging informing on white matter architecture; (2) Material and Methods: volumes, macroscopic volume (MV), brain-adjacent-tumor (BAT) volume and abnormal color-coded DTI volume (aCCV), and region-of-interest samples (probe volumes, ipsi, and contra lateral to the lesion), with their MRI characteristics, apparent diffusion coefficient (ADC), fractional anisotropy (FA) values, and number of fibers (DTI fiber tracking) were analyzed in patients suffering GBM (n = 15) and metastasis (n = 9), and healthy subjects (n = 15), using ad hoc statistical methods (type I error = 5%) (3) Results: GBM volumes were larger than metastasis volumes, aCCV being larger in GBM and BAT ADC was higher in metastasis, ADC decreased centripetally in metastasis, FA increased centripetally either in GBM or metastasis, MV and BAT FA values were higher in GBM, ipsi FA values of GBM ROIs were higher than those of metastasis, and the GBM ipsi number of fibers was higher than the GBM contra number of fibers; (4) Conclusions: The MV, BAT and especially the aCCV, as well as their related water diffusion characteristics, could be useful biomarkers in oncology and functional oncology.…”
Publicado 2022
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