Relevant bibliographies by topics / Inter-subject correlation

Academic literature on the topic 'Inter-subject correlation'

Author: Grafiati
Published: 10 December 2022
Last updated: 28 January 2023

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Journal articles on the topic "Inter-subject correlation"

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Kauppi, Jukka-Pekka, Juha Pajula, Jari Niemi, Riitta Hari, and Jussi Tohka. "Functional brain segmentation using inter-subject correlation in fMRI." Human Brain Mapping 38, no. 5 (March 10, 2017): 2643–65. http://dx.doi.org/10.1002/hbm.23549.

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Pajula, Juha, and Jussi Tohka. "Effects of spatial smoothing on inter-subject correlation based analysis of FMRI." Magnetic Resonance Imaging 32, no. 9 (November 2014): 1114–24. http://dx.doi.org/10.1016/j.mri.2014.06.001.

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Pajula, Juha, Jukka-Pekka Kauppi, and Jussi Tohka. "Inter-Subject Correlation in fMRI: Method Validation against Stimulus-Model Based Analysis." PLoS ONE 8, no. 8 (August 8, 2012): e41196. http://dx.doi.org/10.1371/journal.pone.0041196.

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Wang, Haoran, Yaoru Sun, Fang Wang, Lei Cao, Wei Zhou, Zijian Wang, and Shiyi Chen. "Cross-Subject Assistance: Inter- and Intra-Subject Maximal Correlation for Enhancing the Performance of SSVEP-Based BCIs." IEEE Transactions on Neural Systems and Rehabilitation Engineering 29 (2021): 517–26. http://dx.doi.org/10.1109/tnsre.2021.3057938.

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Chen, Gang, Paul A. Taylor, Yong-Wook Shin, Richard C. Reynolds, and Robert W. Cox. "Untangling the relatedness among correlations, Part II: Inter-subject correlation group analysis through linear mixed-effects modeling." NeuroImage 147 (February 2017): 825–40. http://dx.doi.org/10.1016/j.neuroimage.2016.08.029.

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Niu, Jinpeng, Weifang Cao, Liangfeng Kuang, Xiaotong Zhang, Li Dong, Jie Yang, Jianfeng Qiu, and Qing Jiao. "Age-Related Alteration of Inter-Subject Functional Correlation Within DMN During Movie Watching." International Journal of Psychophysiology 168 (October 2021): S177—S178. http://dx.doi.org/10.1016/j.ijpsycho.2021.07.490.

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Thiede, A., E. Glerean, T. Kujala, and L. Parkkonen. "Atypical MEG inter-subject correlation during listening to continuous natural speech in dyslexia." NeuroImage 216 (August 2020): 116799. http://dx.doi.org/10.1016/j.neuroimage.2020.116799.

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Gao, Jiaqi, Gang Chen, Jinfeng Wu, Yinshan Wang, Yang Hu, Ting Xu, Xi-Nian Zuo, and Zhi Yang. "Reliability map of individual differences reflected in inter-subject correlation in naturalistic imaging." NeuroImage 223 (December 2020): 117277. http://dx.doi.org/10.1016/j.neuroimage.2020.117277.

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Chen, Gang, Yong-Wook Shin, Paul A. Taylor, Daniel R. Glen, Richard C. Reynolds, Robert B. Israel, and Robert W. Cox. "Untangling the relatedness among correlations, part I: Nonparametric approaches to inter-subject correlation analysis at the group level." NeuroImage 142 (November 2016): 248–59. http://dx.doi.org/10.1016/j.neuroimage.2016.05.023.

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Chen, Gang, Paul A. Taylor, Xianggui Qu, Peter J. Molfese, Peter A. Bandettini, Robert W. Cox, and Emily S. Finn. "Untangling the relatedness among correlations, part III: Inter-subject correlation analysis through Bayesian multilevel modeling for naturalistic scanning." NeuroImage 216 (August 2020): 116474. http://dx.doi.org/10.1016/j.neuroimage.2019.116474.

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Dissertations / Theses on the topic "Inter-subject correlation"

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Liu, Yun-Fei, and 劉耘非. "Inter-Subject Neuronal Correlation during Natural Article Reading." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/77707142804387969383.

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碩士
國立臺灣大學
生醫電子與資訊學研究所
103
Most neuroimaigng studies on reading comprehension use well-controlled simplified materials and show them in a way different from natural reading. In this study, we used functional magnetic resonance imaging (fMRI) with texts presented in a natural way to reveal brain areas sensitive to word choices and arrangements. Specifically, articles from the New York Times and the Reader’s Digest translated either by human or machine were presented to participants. The correlation of brain activity across participants during article reading was calculated. This experiment design allowed us to study how the common brain activity changes between text genres (New York Times vs. Reader’s Digest) and translations (human vs. machine translations). We found that spatial distributions of correlated fMRI signal across participants were modulated by article genre and translation. Across text genres and translation, we found low inter-subject correlation (ISC) at superior and middle temporal cortices and high ISC at dorsal medial pre- and post-central cortices. Comparing between text gernes, we found ISC values at right anterior temporal lobe were lower during news article reading than during fictional article reading. Comparing between translations, increased ISC values were observed at right inferior frontal cortex when reading texts translated by machine. Taken together, the right hemisphere is more activated when a higher demand in the reading comprehension capacity is required. The experimental approach and results described in this study may be useful for neurolinguists to further elucidate brain processes related to natural language comprehension.
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Book chapters on the topic "Inter-subject correlation"

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Miyapuram, Krishna Prasad, Ujjval Pamnani, Kenji Doya, and Raju S. Bapi. "Inter Subject Correlation of Brain Activity during Visuo-Motor Sequence Learning." In Neural Information Processing, 35–41. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-12637-1_5.

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Pugh, Jonathan, and David Chandler. "Correlation: Registers of Change." In Anthropocene Islands: Entangled Worlds, 109–40. University of Westminster Press, 2021. http://dx.doi.org/10.16997/book52.d.

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Chapter 4 analyses how Correlation approaches maintain a knowing human subject and a world of patterned regularity amenable to policy intervention. Here, the island emerges as a ‘correlational technology’ where changes are seen as early indicators of climate change. Central however, is an (onto)epistemology of inter-relation and correlation rather than one of linear cause-and-effect: we move from a temporal and spatial line of movement to one of synchronicity. Correlational modes are deployed for sensing global warming, rising sea levels and other shifting planetary conditions. As islands are reinterpellated as ‘living laboratories’, the authors argue that the island is seen as enabling the generation of onto-epistemologies operating on correlative not causal principles. In addition to such correlational practices as the evolutionary patterns of island life, there is the widespread celebration of Indigenous islanders’ correlational abilities, useful in the ‘forecasting of extreme weather conditions’. Such approaches have received a high-tech boost in the Anthropocene, taking the algorithmic form of the, ‘if this … then that’ logic associated with Big Data, the Internet of Things and the trope of the ‘smart island’. Here, prolific use of Big Data combined with extensive networks of sensors or tracking social media on islands enables rapid policy responsiveness. The authors demonstrate how working with islands as sites for understanding relational entanglements and feedbacks plays an important role in the generation and exponential development of Correlational onto-epistemologies in broader Anthropocene thinking.
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Conference papers on the topic "Inter-subject correlation"

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Kauppi, Jukka-Pekka, Iiro P. Jaaskelainen, Mikko Sams, and Jussi Tohka. "Clustering inter-subject correlation matrices in functional magnetic resonance imaging." In 2010 10th IEEE International Conference on Information Technology and Applications in Biomedicine (ITAB 2010). IEEE, 2010. http://dx.doi.org/10.1109/itab.2010.5687650.

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Hossain, Md Zakir, Md Jubayer Alam Rabin, A. F. M. Nokib Uddin, and Md Shahjahan. "Canonical correlation analysis with neural network for inter subject variability realization of EEG data." In 2013 2nd International Conference on Informatics, Electronics and Vision (ICIEV). IEEE, 2013. http://dx.doi.org/10.1109/iciev.2013.6572711.

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Gravel, E. M., and T. D. Papathanasiou. "A General Correlation for the Hydraulic Permeability of Arrays of Elliptical Fiber Bundles." In ASME 2000 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2000. http://dx.doi.org/10.1115/imece2000-2710.

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Abstract A computational analysis of viscous flow through arrays of fiber bundles is carried out using the Boundary Element Method. We consider fiber bundles of elliptical cross section, each made up of up to 350 individual filaments. Such arrays are dual-porosity systems, characterized by different inter- (ϕi) and intra-tow (ϕt) porosities as well as by varying number (Nf) of filaments within each bundle. Investigating the influence of these parameters on the hydraulic permeability of hexagonal arrays of such bundles is the subject of our simulations. The results are compared to earlier analytical models and a good agreement is found. A dimensionless correlation is proposed and the computed permeabilities for bundles of aspect ratio λ = 2 and λ = 3 are shown to fall on a single master curve. This offers a generalized model for the calculation of the permeability of such dual porosity systems from knowledge of ϕi, ϕt, λ and Nf.
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Dulkarnaev, Marat, Alexander Katashov, Anna Belova, Nadir Husein, Evgeny Malyavko, Kseniya Saprykina, Vishwajit Upadhye, and Ekaterina Semenova. "Geological and Field Justification of Yuzhno-Vyintoyskoye Field Development Process Based on Dynamic Marker Monitoring in Horizontal Wells." In Offshore Technology Conference. OTC, 2022. http://dx.doi.org/10.4043/32071-ms.

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Summary Effective management of oil and gas field development is impossible without employing an integrated approach to well and reservoir studies, well interference assessment, and analysis of the reservoir pressure maintenance system effectiveness. To make hard-to-recover reserves development effective, the key objective is to develop and substantiate recommendations for stimulating oil recovery and increasing the oil recovery factor. This paper dwells on a new approach to the geological feasibility study of the field development management and inter-well influence evaluation, which involves predictive modelling. Such an approach implies studying the field geological structure, analysing the current recovery status, dynamic quantum tracer-based production profile surveillance in horizontal wells, as well as using Spearman rank correlation analysis to evaluate the performance of the reservoir pressure maintenance system. The subject reservoir is represented by a series of wedge-shaped Neocomian sandstones that are marked by a complex geological structure, lateral continuity, non-uniform distribution of reservoir rocks, and an extensive water-oil zone. At the moment, the subject field is in a production increase cycle (Dulkarnaev et al., 2020). An integrated approach was used in this study to provide an extra rationale to the starting points of the reservoir pressure maintenance system impact at new drilling sites to improve oil recovery and secure sustainable oil production and the reserve development rate under high uncertainty.
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Gan, Jiangzhang, Xiaofeng Zhu, Rongyao Hu, Yonghua Zhu, Junbo Ma, Ziwen Peng, and Guorong Wu. "Multi-graph Fusion for Functional Neuroimaging Biomarker Detection." In Twenty-Ninth International Joint Conference on Artificial Intelligence and Seventeenth Pacific Rim International Conference on Artificial Intelligence {IJCAI-PRICAI-20}. California: International Joint Conferences on Artificial Intelligence Organization, 2020. http://dx.doi.org/10.24963/ijcai.2020/81.

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Brain functional connectivity analysis on fMRI data could improve the understanding of human brain function. However, due to the influence of the inter-subject variability and the heterogeneity across subjects, previous methods of functional connectivity analysis are often insufficient in capturing disease-related representation so that decreasing disease diagnosis performance. In this paper, we first propose a new multi-graph fusion framework to fine-tune the original representation derived from Pearson correlation analysis, and then employ L1-SVM on fine-tuned representations to conduct joint brain region selection and disease diagnosis for avoiding the issue of the curse of dimensionality on high-dimensional data. The multi-graph fusion framework automatically learns the connectivity number for every node (i.e., brain region) and integrates all subjects in a unified framework to output homogenous and discriminative representations of all subjects. Experimental results on two real data sets, i.e., fronto-temporal dementia (FTD) and obsessive-compulsive disorder (OCD), verified the effectiveness of our proposed framework, compared to state-of-the-art methods.
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Gait, Arslan, Vladimir Duisenbinov, Min-Ho Lee, Felix Biesmann, and Siamac Fazli. "Inter-subject correlations during natural viewing: A filter-bank approach*." In 2020 42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) in conjunction with the 43rd Annual Conference of the Canadian Medical and Biological Engineering Society. IEEE, 2020. http://dx.doi.org/10.1109/embc44109.2020.9176083.

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Dennis, R. J., L. E. Easterbrook, and N. A. Leggatt. "Application of Modern Weld Modelling Techniques in the Design of a Ring Weld Reheat Cracking Test Specimen." In ASME 2005 Pressure Vessels and Piping Conference. ASMEDC, 2005. http://dx.doi.org/10.1115/pvp2005-71355.

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New test specimens to study initiation of reheat cracking in stainless steels have been developed using modern finite element (FE) weld modelling techniques. Residual stress simulations of two theoretical ring weld test specimens were conducted in order to optimise the specimen designs so that large zones of creep damage are predicted when subject to elevated temperatures. Each design was optimised to predict damage in the heat affected zone (HAZ) or weld metal region respectively. Fabrication of test components is proceeding on the basis of these studies. The general design is based on a thick disc of parent material with a multi-pass manual metal arc (MMA) ring weld on one surface. The overall objective was to design a specimen that produces macro cracks when soaked at temperatures of 600°C–650°C within several thousand hours. However, consideration was also given to the ease at which automated NDT procedures could be applied to monitor the development of creep damage, as well as the ability to measure residual stress levels by neutron diffraction and the contour method. The design analysis followed a pragmatic approach whereby an ‘appropriate’ geometry for the ring weld test specimen was analysed based upon a ‘baseline’ set of welding parameters, namely, heat input, lay-up sequence and inter-pass temperature. This ‘baseline’ design was then subject to a number of sensitivity studies to ascertain the performance of the specimen where key parameter’s were varied; these being lay-up sequence, number of capping passes, specimen thickness, radial weld position and weld fill. Also investigated was the introduction of an offset weld in order to control the location at which initiation occurred, either HAZ or weld metal. Residual stresses in this multi-pass MMA weld were predicted using a 2D axisymmetric model, simulating both the welding procedure, subsequent machining and furnace heat soak. The coupled thermal-mechanical analysis was performed using the FE code ABAQUS. A heat source modelling tool was employed to calculate welding fluxes, which were read into ABAQUS via a user subroutine. Fusion boundaries were assessed a correlation for total fused area.
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Alvarez, Estefania, Marcella E. Elpers, Hillary M. Cash, Michelle E. Wabler, and John D. DesJardins. "Assessment of Quantitative Methodology for Evaluation of Retrieved Metallic Femoral Components From Total Knee Replacements." In ASME/STLE 2011 International Joint Tribology Conference. ASMEDC, 2011. http://dx.doi.org/10.1115/ijtc2011-61169.

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The metallic surfaces of total joint replacement components are subject to surface damage and roughening that can severely limit the service lifetime of the bearing system. To date, there are no standards by which to characterize the severity and modes of this critical surface damage, and therefore it remains difficult to accurately assess how femoral damage influences total joint replacement longevity. This study introduces a novel femoral component damage scoring methodology that combines a semi-quantitative visual damage scoring assessment and a fully quantitative non-contact characterization of the articular surface profile. The femoral surface was divided into 6 pre-determined zones, with 5 possible modes of damage and 4 (0–3) levels of damage severity, to produce a maximum possible damage score of 90. The 5 modes of metallic surface damage were; number of scratches, scratch depth, third body wear, abrasion and pitting. Three independent examiners were trained and then evaluated 33 retrieved TKRs systems (n = 11 Oxinium and n = 23 CoCr) with in-situ times of 3.6 ± 4.2 yrs (range of 0.1–20 yrs). The average damage score was 19.9 ± 30.8 with an inter-observer variability of only 1.5% Articular damage mode frequency was calculated and found to be 61% for scratching, 15% for pitting and 52% for abrasion. The quantitative characterization of the articular surface profile of the femoral component using non-contact profilometry (n = 150/retrieved component) illustrated a positive correlation between damage score and the average surface roughness for implants with an Ra greater than 65 nm (R2 of 0.865). This methodology identified a critical Ra threshold above the standard manufacturing tolerance (∼50nm) wherein visual damage scoring was predictive of increases in quantitative surface roughness. This study validates the use of this novel methodology across most TKR material pairings. Future work will correlate damage scores and measured surface roughness with patient demographic and functional information.
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Shirazi, Alireza, Hua Lu, and Ahmad Varvani. "Hybrid Analytical and Experimental Method for Characterization of Thin Multilayer Bonded Structures Subject to Thermal Loading." In ASME 2018 13th International Manufacturing Science and Engineering Conference. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/msec2018-6309.

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This study is presenting a non-local closed-form solution for interfacial stress/strain and the warpage deformation for thin trilayer plate structures under thermal cycling. Based on the theory of geometric scale dependency of the material behavior, the material properties of a thin multi-layer inter-bonded structures substantially differ from those determined based on the bulk material samples. Hence the real mechanical properties for such thin layers are often unavailable and difficult to obtain. This paper puts forward a method to provide a solution for thermomechanical behavior of trilayer constituents with high accuracy at real scale. Present study demonstrates that the constitutive behavior of multilayer plate’s constituents can be inversely determined so long as the plate’s global deformation can be made available by measurement. To achieve most accurate determination of the material properties, measurements with high accuracy is required. The paper also presents the advanced method of shadow moiré that have applied to obtain warpage deformation of real life trilayer test specimens under thermal cycling. Using this method, the experimentally determined global deformation (warpage) of a trilayer structure were correlated with the analytical model solved for warpage deformation. The correlation was then progressively optimized to result in material properties of the constituents. The bonding layer properties are called determined, once the correlation reaches over 85%. There exist a variety of different multilayer bonded structures, which are usually made with advanced manufacturing processes. Regardless of design layout and materials constitutive relations, the application can be implemented in characterizing multiply stacked trilayer structures.
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