Authors: Imms, Phoebe, Clemente, Adam, Deutscher, Evelyn, Radwan, Ahmed M., Akhlaghi, Hamed, Beech, Paul, Wilson, Peter H., Irimia, Andrei, Poudel, Govinda, Domínguez Duque, Juan F., Caeyenberghs, Karen
Subject Terms: traumatic brain injury, structural connectomics, graph theory, personalized medicine, personalized connectomics, lesion filling
File Description: application/pdf
Relation: https://acuresearchbank.acu.edu.au/item/8z825/exploring-personalized-structural-connectomics-for-moderate-to-severe-traumatic-brain-injury; https://acuresearchbank.acu.edu.au/download/a7126f50b2000b347f6d376f0c1f819cfef853de64c89f3198a26f5e4b4a466b/2674235/OA_Imms_2023_Exploring_personalized_structural_connectomics_for_moderate.pdf; https://doi.org/10.1162/netn_a_00277; Imms, Phoebe, Clemente, Adam, Deutscher, Evelyn, Radwan, Ahmed M., Akhlaghi, Hamed, Beech, Paul, Wilson, Peter H., Irimia, Andrei, Poudel, Govinda, Domínguez Duque, Juan F. and Caeyenberghs, Karen. (2023). Exploring personalized structural connectomics for moderate-to-severe traumatic brain injury. Network Neuroscience. 7(1), pp. 160-183. https://doi.org/10.1162/netn_a_00277
Subject Terms: graph theory, modelling competences, modelling days, discrete model
File Description: application/pdf
Relation: https://acuresearchbank.acu.edu.au/item/8z2v8/mathematical-modelling-and-discrete-mathematics-opportunities-for-modern-mathematics-teaching; https://acuresearchbank.acu.edu.au/download/8dccacaf0106974b4afee1dd21a509eb04d5db5171d696f5f5a7aa289c5c5d71/1388444/OA_Greefrath_2022_Mathematical_modelling_and_discrete_mathematics_Opportunities.pdf; https://doi.org/10.1007/s11858-022-01339-5; Greefrath, Gilbert, Siller, Hans-Stefan, Vorhölter, Katrin and Kaiser, Gabriele. (2022). Mathematical modelling and discrete mathematics : Opportunities for modern mathematics teaching. ZDM Mathematics Education. 54, pp. 865-879. https://doi.org/10.1007/s11858-022-01339-5
Authors: Imms, Phoebe, Clemente, Adam, Cook, Mark, D'Souza, Wendyl, Wilson, Peter H., Jones, Derek K., Caeyenberghs, Karen
Subject Terms: traumatic brain injury, graph theory, graph metrics, structural connectomics, network analysis, diffusion MRI, biomarkers, meta-analysis, systematic search, narrative review
File Description: application/pdf
Relation: https://acuresearchbank.acu.edu.au/item/8650z/the-structural-connectome-in-traumatic-brain-injury-a-meta-analysis-of-graph-metrics; https://acuresearchbank.acu.edu.au/download/bcc54aedf0ab2e39fbc32818501e7157d3c71117e6edeac1a5c4807360257569/639111/AM_Imms_2019_The_structural_connectome_in_traumatic_brain.pdf; https://doi.org/10.1016/j.neubiorev.2019.01.002; Imms, Phoebe, Clemente, Adam, Cook, Mark, D'Souza, Wendyl, Wilson, Peter H., Jones, Derek K. and Caeyenberghs, Karen. (2019). The structural connectome in traumatic brain injury: A meta-analysis of graph metrics. Neuroscience and Biobehavioral Reviews. 99, pp. 128 - 137. https://doi.org/10.1016/j.neubiorev.2019.01.002
Authors: Caeyenberghs, Karen, Duprat, Romain, Leemans, Alexander, Hosseini, Hadi, Wilson, Peter H., Klooster, Debby, Baeken, Chris
Subject Terms: structural connectivity, brain stimulation, depression, diffusion MRI, graph theory
File Description: application/pdf
Relation: https://acuresearchbank.acu.edu.au/item/86q75/accelerated-intermittent-theta-burst-stimulation-in-major-depression-induces-decreases-in-modularity-a-connectome-analysis; https://acuresearchbank.acu.edu.au/download/512eb2a2d5432bd4d0ae9293b11446a87ecac8fbb92a33ea28f4efcabb9d37ef/727416/OA_Caeyenberghs_2018_Accelerated_intermittent_theta_burst_stimulation_in.pdf; https://doi.org/10.1162/netn_a_00060; Caeyenberghs, Karen, Duprat, Romain, Leemans, Alexander, Hosseini, Hadi, Wilson, Peter H., Klooster, Debby and Baeken, Chris. (2018). Accelerated intermittent theta burst stimulation in major depression induces decreases in modularity: A connectome analysis. Network Neuroscience. 3(1), pp. 157 - 172. https://doi.org/10.1162/netn_a_00060
Authors: Ottino-Gonzalez, Jonatan, Garavan, Hugh, Albaugh, Matthew D., Cao, Zhipeng, Cupertino, Renata B., Schwab, Nathan, Spechler, Philip A., Allen, Nicholas, Artiges, Eric, Banaschewski, Tobias, Bokde, Arun L. W., Burke Quinlan, Erin, Brühl, Rüdiger, Orr, Catherine, Cousijn, Janna, Desrivieres, Sylvane, Flor, Herta, Foxe, John J., Fröhner, Juliane H., Goudriaan, Anna E., Gowland, Penny, Grigis, Antoine, Heinz, Andreas, Hester, Robert, Hutchison, Kent, Li, Chiang-Shan R., London, Edythe D., Lorenzetti, Valentina, Luijten, Maartje, Nees, Frauke, Martín-Santos, Rocio, Martinot, Jean-Luc, Millenet, Sabina, Momenan, Reza, Paillère Martinot, Marie-Laure, Papadopoulos Orfanos, Dimitri, Paulus, Martin P., Poustka, Luise, Schmaal, Lianne, Schumann, Gunter, Sinha, Rajita, Smolka, Michael N., Solowij, Nadia, Stein, Dan J., Stein, Elliot A., Uhlmann, Anne, van Holst, Ruth J., Veltman, Dick J., Walter, Henrik, Whelan, Robert, Wiers, Reinout W., Yücel, Murat, Zhang, Sheng, Jahanshad, Neda, Thompson, Paul M., Conrod, Patricia, Mackey, Scott
Subject Terms: alcohol, cortical thickness, graph theory, neurodevelopment, structural covariance networks
File Description: application/pdf
Relation: https://acuresearchbank.acu.edu.au/item/8zq57/brain-structural-covariance-network-differences-in-adults-with-alcohol-dependence-and-heavy-drinking-adolescents; https://acuresearchbank.acu.edu.au/download/848981d845cae306882c8df7a6a9b04b279c38f3b8ec9097aefe5a5999e65ec9/1964563/AM_Ottino_Gonzalez_2022_Brain_structural_covariance_network_differences_in.pdf; https://doi.org/10.1111/add.15772; Ottino-Gonzalez, Jonatan, Garavan, Hugh, Albaugh, Matthew D., Cao, Zhipeng, Cupertino, Renata B., Schwab, Nathan, Spechler, Philip A., Allen, Nicholas, Artiges, Eric, Banaschewski, Tobias, Bokde, Arun L. W., Burke Quinlan, Erin, Brühl, Rüdiger, Orr, Catherine, Cousijn, Janna, Desrivieres, Sylvane, Flor, Herta, Foxe, John J., Fröhner, Juliane H., . Mackey, Scott. (2022). Brain structural covariance network differences in adults with alcohol dependence and heavy-drinking adolescents. Addiction. 117(5), pp. 1312-1325. https://doi.org/10.1111/add.15772
Subject Terms: clustering algorithms, computation theory, graph theory, medical imaging, neuroimaging, visualization
File Description: application/pdf
Relation: https://acuresearchbank.acu.edu.au/item/8q8x6/interactive-computation-and-visualization-of-structural-connectomes-in-real-time; https://acuresearchbank.acu.edu.au/download/7574f0810dbd2bf2afc47612bbd62f95fee487ced990733f9126f29eab5f300e/2676368/AM_Chamberland_2017_Interactive_Computation_and_Visualization_of_structural.pdf; https://doi.org/10.1007/978-3-319-67159-8_5; Chamberland, Maxime, Gray, William, Descoteaux, Maxime and Jones, Derek K. (2017). Interactive computation and visualization of structural connectomes in real-time. First International Workshop, CNI 2017. Springer. pp. 35-41 https://doi.org/10.1007/978-3-319-67159-8_5
Authors: Eleni P Ganella, Caio Seguin, Christos Pantelis, Sarah Whittle, Bernhard T Baune, James Olver, G Paul Amminger, Patrick D. McGorry, Vanessa L. Cropley, Andrew Zalesky, Cali F Bartholomeusz
Subject Terms: resting state, first episode of psychosis, functional connectivity, graph theory
Relation: https://acuresearchbank.acu.edu.au/item/8w092/resting-state-functional-brain-networks-in-first-episode-psychosis-a-12-month-follow-up-study; https://doi.org/10.1177/0004867418775833; Eleni P Ganella, Caio Seguin, Christos Pantelis, Sarah Whittle, Bernhard T Baune, James Olver, G Paul Amminger, Patrick D. McGorry, Vanessa L. Cropley, Andrew Zalesky and Cali F Bartholomeusz. (2018). Resting-state functional brain networks in first-episode psychosis: A 12-month follow-up study. Australian and New Zealand Journal of Psychiatry. 52(9), pp. 864-875. https://doi.org/10.1177/0004867418775833
Availability: https://doi.org/10.1177/0004867418775833
Subject Terms: traumatic brain injury, connectome, functional MRI, graph theory, network
Relation: https://acuresearchbank.acu.edu.au/item/86z94/mapping-the-functional-connectome-in-traumatic-brain-injury-what-can-graph-metrics-tell-us; https://doi.org/10.1016/j.neuroimage.2016.12.003; Caeyenberghs, Karen, Verhelst, Helena, Clemente, Adam and Wilson, Peter H. (2017). Mapping the functional connectome in traumatic brain injury: What can graph metrics tell us? NeuroImage. 160, pp. 113 - 123. https://doi.org/10.1016/j.neuroimage.2016.12.003
Availability: https://doi.org/10.1016/j.neuroimage.2016.12.003
Authors: Toppi, Jlenia, Astolfi, Laura, Poudel, Govinda, H., Babiloni, Fabio, Jones, Richard, Innes, Carrie R. H.
Subject Terms: Behavioural microsleeps, Effective connectivity, Graph theory, Time-varying connectivity, EEG
Relation: https://acuresearchbank.acu.edu.au/item/86x28/time-varying-effective-connectivity-of-the-cortical-neuroelectric-activity-associated-with-behavioural-microsleeps; https://doi.org/10.1016/j.neuroimage.2015.08.059; Toppi, Jlenia, Astolfi, Laura, Poudel, Govinda, H., Babiloni, Fabio, Jones, Richard and Innes, Carrie R. H. (2016). Time-varying effective connectivity of the cortical neuroelectric activity associated with behavioural microsleeps. NeuroImage. 124, pp. 421 - 432. https://doi.org/10.1016/j.neuroimage.2015.08.059
Availability: https://doi.org/10.1016/j.neuroimage.2015.08.059
Subject Terms: graph theory, robustness, computational modelling, focal brain lesions, Alzheimer’s disease
Relation: https://acuresearchbank.acu.edu.au/item/887yx/brain-networks-under-attack-robustness-properties-and-the-impact-of-lesions; https://doi.org/10.1093/brain/aww194; Aerts, Hannelore, Fias, Wim, Caeyenberghs, Karen and Marinazzo, Daniele. (2016). Brain networks under attack: robustness properties and the impact of lesions. Brain. 139(12), pp. 3063 - 3083. https://doi.org/10.1093/brain/aww194
Availability: https://doi.org/10.1093/brain/aww194
Authors: Jones, Derek, Nilsson, Markus
Subject Terms: axons, connectivity, DTI, graph theory, microstructure, myelin, networks, tractography, tractometry, white matter
File Description: application/pdf
Relation: https://acuresearchbank.acu.edu.au/item/864z5/tractometry-and-the-hunt-for-the-missing-link-a-physicist-perspective; https://acuresearchbank.acu.edu.au/download/98317e23b9917901718bd1d1f6b88e88b471e1e0b1c21c849eec4d2ae94cee96/693973/OA_Jones_2014_Tractometry_and_the_hunt_for_the.pdf; https://doi.org/10.3389/978-2-88919-480-3; Jones, Derek and Nilsson, Markus. (2014). Tractometry and the hunt for the missing link: A physicist perspective. In M. Home, M. Lindgren and M. Nilsson, M. Roll, Y. Shtyrov, F. Stahlberg and D. Topgaard (Ed.). Microstructures of Learning: Novel methods and approaches for assessing structural and functional changes underlying knowledge acquisition in the brain. Sweden: Lund University Press. pp. 38 - 48 https://doi.org/10.3389/978-2-88919-480-3
Authors: Balardin, Joana Bisol, Comfort, William Edgar, Daly, Eileen M., Murphy, Clodagh M., Andrews, D., Murphy, Declan G. M., Ecker, Christine, Sato, João Ricardo, Bailey, Anthony J., Baron-Cohen, S., Bolton, Patrick F., Bullmore, E. T., Carrington, Sarah, Catani, Marco, Chakrabarti, B., Craig, Michael C., Daly, E. M., Deoni, Sean C. L., Happé, Francesca, Henty, Julian, Jezzard, Peter, Johnston, Patrick, Jones, Derek Kenton, Lai, Meng Chuan, Lombardo, M. V., Madden, Anya, Mullins, Diane, Murphy, Declan, Pasco, Greg, Ruigrok, Amber N. V., Sadek, Susan A., Spain, Debbie, Stewart, Rose, Suckling, John, Wheelwright, Sally J., Willia, Steven C., Wilson, Ellie
Subject Terms: Autism, Neuroanatomy, Structural covariance, Connectivity, Graph theory, Centrality
Relation: https://acuresearchbank.acu.edu.au/item/888x1/decreased-centrality-of-cortical-volume-covariance-networks-in-autism-spectrum-disorders; https://doi.org/10.1016/j.jpsychires.2015.08.003; Balardin, Joana Bisol, Comfort, William Edgar, Daly, Eileen M., Murphy, Clodagh M., Andrews, D., Murphy, Declan G. M., Ecker, Christine, Sato, João Ricardo, Bailey, Anthony J., Baron-Cohen, S., Bolton, Patrick F., Bullmore, E. T., Carrington, Sarah, Catani, Marco, Chakrabarti, B., Craig, Michael C., Daly, E. M., Deoni, Sean C. L., Happé, Francesca, . Wilson, Ellie. (2015). Decreased centrality of cortical volume covariance networks in autism spectrum disorders. Journal of Psychiatric Research. 69, pp. 142 - 149. https://doi.org/10.1016/j.jpsychires.2015.08.003
Availability: https://doi.org/10.1016/j.jpsychires.2015.08.003
Authors: Heitger, Marcus H., Ronsse, R., Dhollander, Thijs, Dupont, Patrick, Caeyenberghs, Karen, Swinnen, Stephen P.
Subject Terms: motor learning, bimanual coordination, graph-theory, functional connectivity, functional networks, fMRI
Relation: https://acuresearchbank.acu.edu.au/item/85823/motor-learning-induced-changes-in-functional-brain-connectivity-as-revealed-by-means-of-graphceoretical-network-analysis; https://doi.org/10.1016/j.neuroimage.2012.03.067; Heitger, Marcus H., Ronsse, R., Dhollander, Thijs, Dupont, Patrick, Caeyenberghs, Karen and Swinnen, Stephen P. (2012). Motor learning-induced changes in functional brain connectivity as revealed by means of graphceoretical network analysis. NeuroImage. 61(3), pp. 633 - 650. https://doi.org/10.1016/j.neuroimage.2012.03.067
Availability: https://doi.org/10.1016/j.neuroimage.2012.03.067