Research Library

We just began a large new study on
Autism, ADHD, Anxiety & Depression in 12-17 year-olds.
Read more and learn how you can help!

Export 89 results:
Author Title Type [ Year(Asc)]
Filters: Author is Bassett, Danielle S  [Clear All Filters]
2019
R. F. Betzel, Bertolero, M. A., Gordon, E. M., Gratton, C., Dosenbach, N. U. F., and Bassett, D. S., The community structure of functional brain networks exhibits scale-specific patterns of inter-and intra-subject variability, NeuroImage, 2019.
T. Menara, Baggio, G., Bassett, D. S., and Pasqualetti, F., Exact and approximate stability conditions for cluster synchronization of Kuramoto oscillators, in Proc. American Control Conference, Philadelphia, PA, USA, 2019.
E. J. Cornblath, Lydon-Staley, D. M., and Bassett, D. S., Harnessing networks and machine learning in neuropsychiatric care., Curr Opin Neurobiol, vol. 55, pp. 32-39, 2019.
C. W. Lynn, Papadopoulos, L., Kahn, A. E., and Bassett, D. S., Human information processing in complex networks, arXiv preprint arXiv:1906.00926, 2019.
D. Martin Lydon-Staley, Zhou, D., Blevins, A. Sizemore, Zurn, P., and Bassett, D. S., Hunters, busybodies, and the knowledge network building associated with curiosity, 2019.
A. E. Sizemore, Phillips-Cremins, J. E., Ghrist, R., and Bassett, D. S., The importance of the whole: topological data analysis for the network neuroscientist, Network Neuroscience, vol. 3, pp. 656–673, 2019.
S. H. Tompson, Kahn, A. E., Falk, E. B., Vettel, J. M., and Bassett, D. S., Individual differences in learning social and nonsocial network structures., J Exp Psychol Learn Mem Cogn, vol. 45, no. 2, pp. 253-271, 2019.
M. - C. Corsi, Chavez, M., Schwartz, D., Hugueville, L., Khambhati, A. N., Bassett, D. S., and Fallani, F. De Vico, Integrating EEG and MEG Signals to Improve Motor Imagery Classification in Brain-Computer Interface., Int J Neural Syst, vol. 29, no. 1, p. 1850014, 2019.
J. Stiso, Corsi, M. - C., Vettel, J. M., Garcia, J. O., Pasqualetti, F., Fallani, F. De Vico, Lucas, T. H., and Bassett, D. S., Learning in brain-computer interface control evidenced by joint decomposition of brain and behavior, arXiv preprint arXiv:1908.00077, 2019.
J. Stiso, Corsi, M. - C., Vettel, J. M., Garcia, J. O., Pasqualetti, F., Fallani, F. De Vico, Lucas, T. H., and Bassett, D. S., Learning in brain-computer interface control evidenced by joint decomposition of brain and behavior, arXiv preprint arXiv:1908.00077, 2019.
T. D. Satterthwaite, Ciric, R., Roalf, D. R., Davatzikos, C., Bassett, D. S., and Wolf, D. H., Motion artifact in studies of functional connectivity: Characteristics and mitigation strategies., Hum Brain Mapp, vol. 40, no. 7, pp. 2033-2051, 2019.
F. De Vico Fallani and Bassett, D. S., Network neuroscience for optimizing brain-computer interfaces., Phys Life Rev, 2019.
G. E. Doucet, Moser, D. A., Rodrigue, A., Bassett, D. S., Glahn, D. C., and Frangou, S., Person-Based Brain Morphometric Similarity is Heritable and Correlates With Biological Features., Cereb Cortex, vol. 29, no. 2, pp. 852-862, 2019.
P. Zurn and Bassett, D. S., Philosophy of Biology: Seizing an opportunity, eLife, vol. 8, p. e48336, 2019.
T. M. Karrer, Kim, J. Z., Stiso, J., Kahn, A. E., Pasqualetti, F., Habel, U., and Bassett, D. S., A practical guide to methodological considerations in the controllability of structural brain networks, arXiv preprint arXiv:1908.03514, 2019.
T. M. Karrer, Kim, J. Z., Stiso, J., Kahn, A. E., Pasqualetti, F., Habel, U., and Bassett, D. S., A practical guide to methodological considerations in the controllability of structural brain networks, arXiv preprint arXiv:1908.03514, 2019.
E. J. Cornblath, Tang, E., Baum, G. L., Moore, T. M., Adebimpe, A., Roalf, D. R., Gur, R. C., Gur, R. E., Pasqualetti, F., Satterthwaite, T. D., and Bassett, D. S., Sex differences in network controllability as a predictor of executive function in youth., Neuroimage, vol. 188, pp. 122-134, 2019.
M. X. Henderson, Cornblath, E. J., Darwich, A., Zhang, B., Brown, H., Gathagan, R. J., Sandler, R. M., Bassett, D. S., Trojanowski, J. Q., and Lee, V. M. Y., Spread of α-synuclein pathology through the brain connectome is modulated by selective vulnerability and predicted by network analysis, Nature neuroscience, vol. 22, p. 1248, 2019.
H. Huang, Chen, S. T., Titus, K. R., Emerson, D. J., Bassett, D. S., and Phillips-Cremins, J. E., A subset of topologically associating domains fold into mesoscale core-periphery networks, Scientific reports, vol. 9, p. 9526, 2019.
H. Huang, Chen, S. T., Titus, K. R., Emerson, D. J., Bassett, D. S., and Phillips-Cremins, J. E., A subset of topologically associating domains fold into mesoscale core-periphery networks, Scientific reports, vol. 9, p. 9526, 2019.
2018
J. D. Medaglia, Satterthwaite, T. D., Kelkar, A., Ciric, R., Moore, T. M., Ruparel, K., Gur, R. C., Gur, R. E., and Bassett, D. S., Brain state expression and transitions are related to complex executive cognition in normative neurodevelopment., Neuroimage, vol. 166, pp. 293-306, 2018.
P. G. Reddy, Mattar, M. G., Murphy, A. C., Wymbs, N. F., Grafton, S. T., Satterthwaite, T. D., and Bassett, D. S., Brain state flexibility accompanies motor-skill acquisition., Neuroimage, vol. 171, pp. 135-147, 2018.
K. Bansal, Medaglia, J. D., Bassett, D. S., Vettel, J. M., and Muldoon, S. F., Data-driven brain network models differentiate variability across language tasks., PLoS Comput Biol, vol. 14, no. 10, p. e1006487, 2018.
X. He, Bassett, D. S., Chaitanya, G., Sperling, M. R., Kozlowski, L., and Tracy, J. I., Disrupted dynamic network reconfiguration of the language system in temporal lobe epilepsy., Brain, vol. 141, no. 5, pp. 1375-1389, 2018.
J. D. Medaglia, Huang, W., Karuza, E. A., Kelkar, A., Thompson-Schill, S. L., Ribeiro, A., and Bassett, D. S., Functional Alignment with Anatomical Networks is Associated with Cognitive Flexibility., Nat Hum Behav, vol. 2, no. 2, pp. 156-164, 2018.
G. L. Baum, Roalf, D. R., Cook, P. A., Ciric, R., Rosen, A. F. G., Xia, C., Elliott, M. A., Ruparel, K., Verma, R., Tunc, B., Gur, R. C., Gur, R. E., Bassett, D. S., and Satterthwaite, T. D., The impact of in-scanner head motion on structural connectivity derived from diffusion MRI., Neuroimage, vol. 173, pp. 275-286, 2018.
J. D. Dworkin, Shinohara, R. T., and Bassett, D. S., The landscape of NeuroImage-ing research., Neuroimage, vol. 183, pp. 872-883, 2018.
C. O. Becker, Bassett, D. S., and Preciado, V. M., Large-scale dynamic modeling of task-fMRI signals via subspace system identification., J Neural Eng, vol. 15, no. 6, p. 066016, 2018.
C. Huchuan Xia, Ma, Z., Ciric, R., Gu, S., Betzel, R. F., Kaczkurkin, A. N., Calkins, M. E., Cook, P. A., de La Garza, A. Garcia, Vandekar, S. N., Cui, Z., Moore, T. M., Roalf, D. R., Ruparel, K., Wolf, D. H., Davatzikos, C., Gur, R. C., Gur, R. E., Shinohara, R. T., Bassett, D. S., and Satterthwaite, T. D., Linked dimensions of psychopathology and connectivity in functional brain networks., Nat Commun, vol. 9, no. 1, p. 3003, 2018.
M. A. Bertolero, Yeo, B. T. Thomas, Bassett, D. S., and D'Esposito, M., A mechanistic model of connector hubs, modularity and cognition., Nat Hum Behav, vol. 2, no. 10, pp. 765-777, 2018.
R. Ciric, Rosen, A. F. G., Erus, G., Cieslak, M., Adebimpe, A., Cook, P. A., Bassett, D. S., Davatzikos, C., Wolf, D. H., and Satterthwaite, T. D., Mitigating head motion artifact in functional connectivity MRI., Nat Protoc, vol. 13, no. 12, pp. 2801-2826, 2018.
A. N. Khambhati, Sizemore, A. E., Betzel, R. F., and Bassett, D. S., Modeling and interpreting mesoscale network dynamics., Neuroimage, vol. 180, no. Pt B, pp. 337-349, 2018.
D. S. Bassett, Zurn, P., and Gold, J. I., On the nature and use of models in network neuroscience., Nat Rev Neurosci, vol. 19, no. 9, pp. 566-578, 2018.
S. Tompson, Falk, E. B., Vettel, J. M., and Bassett, D. S., Network Approaches to Understand Individual Differences in Brain Connectivity: Opportunities for Personality Neuroscience., Personal Neurosci, vol. 1, 2018.
Z. Yang, Gu, S., Honnorat, N., Linn, K. A., Shinohara, R. T., Aselcioglu, I., Bruce, S., Oathes, D. J., Davatzikos, C., Satterthwaite, T. D., Bassett, D. S., and Sheline, Y. I., Network changes associated with transdiagnostic depressive symptom improvement following cognitive behavioral therapy in MDD and PTSD., Mol Psychiatry, vol. 23, no. 12, pp. 2314-2323, 2018.
J. D. Medaglia, Harvey, D. Y., White, N., Kelkar, A., Zimmerman, J., Bassett, D. S., and Hamilton, R. H., Network Controllability in the Inferior Frontal Gyrus Relates to Controlled Language Variability and Susceptibility to TMS., J Neurosci, vol. 38, no. 28, pp. 6399-6410, 2018.
D. M. Lydon-Staley and Bassett, D. S., Network Neuroscience: A Framework for Developing Biomarkers in Psychiatry., Curr Top Behav Neurosci, vol. 40, pp. 79-109, 2018.
T. D. Satterthwaite, Xia, C. H., and Bassett, D. S., Personalized Neuroscience: Common and Individual-Specific Features in Functional Brain Networks., Neuron, vol. 98, no. 2, pp. 243-245, 2018.
M. G. Mattar, Wymbs, N. F., Bock, A. S., Aguirre, G. K., Grafton, S. T., and Bassett, D. S., Predicting future learning from baseline network architecture., Neuroimage, vol. 172, pp. 107-117, 2018.
J. M. Kernbach, Satterthwaite, T. D., Bassett, D. S., Smallwood, J., Margulies, D., Krall, S., Shaw, P., Varoquaux, G., Thirion, B., Konrad, K., and Bzdok, D., Shared endo-phenotypes of default mode dsfunction in attention deficit/hyperactivity disorder and autism spectrum disorder., Transl Psychiatry, vol. 8, no. 1, p. 133, 2018.
A. N. Khambhati, Medaglia, J. D., Karuza, E. A., Thompson-Schill, S. L., and Bassett, D. S., Subgraphs of functional brain networks identify dynamical constraints of cognitive control., PLoS Comput Biol, vol. 14, no. 7, p. e1006234, 2018.
D. S. Bassett, Xia, C. Huchuan, and Satterthwaite, T. D., Understanding the Emergence of Neuropsychiatric Disorders With Network Neuroscience., Biol Psychiatry Cogn Neurosci Neuroimaging, vol. 3, no. 9, pp. 742-753, 2018.
2017
L. Wiles, Gu, S., Pasqualetti, F., Parvesse, B., Gabrieli, D., Bassett, D. S., and Meaney, D. F., Autaptic Connections Shift Network Excitability and Bursting, Scientific Reports, vol. 7, 2017.
R. Ciric, Wolf, D. H., Power, J. D., Roalf, D. R., Baum, G. L., Ruparel, K., Shinohara, R. T., Elliott, M. A., Eickhoff, S. B., Davatzikos, C., Gur, R. C., Gur, R. E., Bassett, D. S., and Satterthwaite, T. D., Benchmarking of participant-level confound regression strategies for the control of motion artifact in studies of functional connectivity., Neuroimage, vol. 154, pp. 174-187, 2017.
J. Dominic Medaglia, Pasqualetti, F., Hamilton, R. H., Thompson-Schill, S. L., and Bassett, D. S., Brain and cognitive reserve: Translation via network control theory., Neurosci Biobehav Rev, vol. 75, pp. 53-64, 2017.
N. Cooper, Bassett, D. S., and Falk, E. B., Coherent activity between brain regions that code for value is linked to the malleability of human behavior., Sci Rep, vol. 7, p. 43250, 2017.
A. Sharma, Wolf, D. H., Ciric, R., Kable, J. W., Moore, T. M., Vandekar, S. N., Katchmar, N., Daldal, A., Ruparel, K., Davatzikos, C., Elliott, M. A., Calkins, M. E., Shinohara, R. T., Bassett, D. S., and Satterthwaite, T. D., Common Dimensional Reward Deficits Across Mood and Psychotic Disorders: A Connectome-Wide Association Study., Am J Psychiatry, vol. 174, no. 7, pp. 657-666, 2017.
E. Tang, Giusti, C., Baum, G. L., Gu, S., Pollock, E., Kahn, A. E., Roalf, D. R., Moore, T. M., Ruparel, K., Gur, R. C., Gur, R. E., Satterthwaite, T. D., and Bassett, D. S., Developmental increases in white matter network controllability support a growing diversity of brain dynamics., Nat Commun, vol. 8, no. 1, p. 1252, 2017.
L. R. Chai, Khambhati, A. N., Ciric, R., Moore, T., Gur, R. C., Gur, R. E., Satterthwaite, T. D., and Bassett, D. S., Evolution of brain network dynamics in neurodevelopment, Network Neuroscience, vol. 1, no. 1, pp. 14-30, 2017.
S. Gu, Yang, M., Medaglia, J. D., Gur, R. C., Gur, R. E., Satterthwaite, T. D., and Bassett, D. S., Functional hypergraph uncovers novel covariant structures over neurodevelopment., Hum Brain Mapp, vol. 38, no. 8, pp. 3823-3835, 2017.
B. E. Yerys, Herrington, J. D., Satterthwaite, T. D., Guy, L., Schultz, R. T., and Bassett, D. S., Globally weaker and topologically different: resting-state connectivity in youth with autism., Mol Autism, vol. 8, p. 39, 2017.
G. L. Baum, Ciric, R., Roalf, D. R., Betzel, R. F., Moore, T. M., Shinohara, R. T., Kahn, A. E., Vandekar, S. N., Rupert, P. E., Quarmley, M., Cook, P. A., Elliott, M. A., Ruparel, K., Gur, R. E., Gur, R. C., Bassett, D. S., and Satterthwaite, T. D., Modular Segregation of Structural Brain Networks Supports the Development of Executive Function in Youth., Curr Biol, vol. 27, no. 11, pp. 1561-1572.e8, 2017.
R. F. Betzel and Bassett, D. S., Multi-scale brain networks., Neuroimage, vol. 160, pp. 73-83, 2017.
D. S. Bassett and Sporns, O., Network neuroscience., Nat Neurosci, vol. 20, no. 3, pp. 353-364, 2017.
D. S. Bassett and Mattar, M. G., A Network Neuroscience of Human Learning: Potential to Inform Quantitative Theories of Brain and Behavior., Trends Cogn Sci, vol. 21, no. 4, pp. 250-264, 2017.
S. Gu, Betzel, R. F., Mattar, M. G., Cieslak, M., Delio, P. R., Grafton, S. T., Pasqualetti, F., and Bassett, D. S., Optimal trajectories of brain state transitions., Neuroimage, vol. 148, pp. 305-317, 2017.
R. F. Betzel, Satterthwaite, T. D., Gold, J. I., and Bassett, D. S., Positive affect, surprise, and fatigue are correlates of network flexibility., Sci Rep, vol. 7, no. 1, p. 520, 2017.
A. N. Khambhati, Bassett, D. S., Oommen, B. S., Chen, S. H., Lucas, T. H., Davis, K. A., and Litt, B., Recurring functional interactions predict network architecture of interictal and ictal states in neocortical epilepsy, eNeuro, vol. 4, p. ENEURO–0091, 2017.
D. S. Bassett and Bullmore, E. T., Small-World Brain Networks Revisited., Neuroscientist, vol. 23, no. 5, pp. 499-516, 2017.
A. E. Kahn, Mattar, M. G., Vettel, J. M., Wymbs, N. F., Grafton, S. T., and Bassett, D. S., Structural Pathways Supporting Swift Acquisition of New Visuomotor Skills., Cereb Cortex, vol. 27, no. 1, pp. 173-184, 2017.
2016
M. W. Cole, Ito, T., Bassett, D. S., and Schultz, D. H., Activity flow over resting-state networks shapes cognitive task activations., Nat Neurosci, vol. 19, no. 12, pp. 1718-1726, 2016.
Z. Zhang, Telesford, Q. K., Giusti, C., Lim, K. O., and Bassett, D. S., Choosing Wavelet Methods, Filters, and Lengths for Functional Brain Network Construction., PLoS One, vol. 11, no. 6, p. e0157243, 2016.
Q. K. Telesford, Lynall, M. - E., Vettel, J., Miller, M. B., Grafton, S. T., and Bassett, D. S., Detection of functional brain network reconfiguration during task-driven cognitive states., Neuroimage, vol. 142, pp. 198-210, 2016.
F. A. Soto, Bassett, D. S., and F Ashby, G., Dissociable changes in functional network topology underlie early category learning and development of automaticity., Neuroimage, vol. 141, pp. 220-241, 2016.
U. Braun, Schäfer, A., Bassett, D. S., Rausch, F., Schweiger, J. I., Bilek, E., Erk, S., Romanczuk-Seiferth, N., Grimm, O., Geiger, L. S., Haddad, L., Otto, K., Mohnke, S., Heinz, A., Zink, M., Walter, H., Schwarz, E., Meyer-Lindenberg, A., and Tost, H., Dynamic brain network reconfiguration as a potential schizophrenia genetic risk mechanism modulated by NMDA receptor function., Proc Natl Acad Sci U S A, vol. 113, no. 44, pp. 12568-12573, 2016.
L. Papadopoulos, Puckett, J. G., Daniels, K. E., and Bassett, D. S., Evolution of network architecture in a granular material under compression, Physical Review E, vol. 94, p. 032908, 2016.
M. G. Mattar, Betzel, R. F., and Bassett, D. S., The flexible brain., Brain, vol. 139, no. Pt 8, pp. 2110-2, 2016.
L. R. Chai, Mattar, M. G., Blank, I. Asher, Fedorenko, E., and Bassett, D. S., Functional Network Dynamics of the Language System., Cereb Cortex, vol. 26, no. 11, pp. 4148-4159, 2016.
E. N. Davison, Turner, B. O., Schlesinger, K. J., Miller, M. B., Grafton, S. T., Bassett, D. S., and Carlson, J. M., Individual Differences in Dynamic Functional Brain Connectivity across the Human Lifespan., PLoS Comput Biol, vol. 12, no. 11, p. e1005178, 2016.
E. A. Karuza, Thompson-Schill, S. L., and Bassett, D. S., Local Patterns to Global Architectures: Influences of Network Topology on Human Learning., Trends Cogn Sci, vol. 20, no. 8, pp. 629-640, 2016.
S. Feldt Muldoon and Bassett, D. S., Network and multilayer network approaches to understanding human brain dynamics, Philosophy of Science, vol. 83, pp. 710–720, 2016.
R. F. Betzel, Gu, S., Medaglia, J. D., Pasqualetti, F., and Bassett, D. S., Optimally controlling the human connectome: the role of network topology., Sci Rep, vol. 6, p. 30770, 2016.
R. F. Betzel, Satterthwaite, T. D., Gold, J. I., and Bassett, D. S., A positive mood, a flexible brain, arXiv preprint arXiv:1601.07881, 2016.
A. N. Khambhati and Bassett, D. S., A Powerful DREADD: Revealing Structural Drivers of Functional Dynamics., Neuron, vol. 91, no. 2, pp. 213-5, 2016.
S. Feldt Muldoon, Bridgeford, E. W., and Bassett, D. S., Small-World Propensity and Weighted Brain Networks., Sci Rep, vol. 6, p. 22057, 2016.
S. Feldt Muldoon, Pasqualetti, F., Gu, S., Cieslak, M., Grafton, S. T., Vettel, J. M., and Bassett, D. S., Stimulation-Based Control of Dynamic Brain Networks., PLoS Comput Biol, vol. 12, no. 9, p. e1005076, 2016.
S. Zhang, Bassett, D. S., and Winkelstein, B. A., Stretch-induced network reconfiguration of collagen fibres in the human facet capsular ligament., J R Soc Interface, vol. 13, no. 114, p. 20150883, 2016.
C. Giusti, Papadopoulos, L., Owens, E. T., Daniels, K. E., and Bassett, D. S., Topological and geometric measurements of force-chain structure., Phys Rev E, vol. 94, no. 3-1, p. 032909, 2016.
S. N. Baldassano and Bassett, D. S., Topological distortion and reorganized modular structure of gut microbial co-occurrence networks in inflammatory bowel disease., Sci Rep, vol. 6, p. 26087, 2016.
C. Giusti, Ghrist, R., and Bassett, D. S., Two's company, three (or more) is a simplex : Algebraic-topological tools for understanding higher-order structure in neural data., J Comput Neurosci, vol. 41, no. 1, pp. 1-14, 2016.
A. N. Khambhati, Davis, K. A., Lucas, T. H., Litt, B., and Bassett, D. S., Virtual Cortical Resection Reveals Push-Pull Network Control Preceding Seizure Evolution., Neuron, vol. 91, no. 5, pp. 1170-1182, 2016.
2015
E. N. Davison, Schlesinger, K. J., Bassett, D. S., Lynall, M. - E., Miller, M. B., Grafton, S. T., and Carlson, J. M., Brain network adaptability across task states., PLoS Comput Biol, vol. 11, no. 1, p. e1004029, 2015.
T. D. Satterthwaite, Kable, J. W., Vandekar, L., Katchmar, N., Bassett, D. S., Baldassano, C. F., Ruparel, K., Elliott, M. A., Sheline, Y. I., Gur, R. C., Gur, R. E., Davatzikos, C., Leibenluft, E., Thase, M. E., and Wolf, D. H., Common and Dissociable Dysfunction of the Reward System in Bipolar and Unipolar Depression., Neuropsychopharmacology, vol. 40, no. 9, pp. 2258-68, 2015.
S. Gu, Pasqualetti, F., Cieslak, M., Telesford, Q. K., Yu, A. B., Kahn, A. E., Medaglia, J. D., Vettel, J. M., Miller, M. B., Grafton, S. T., and Bassett, D. S., Controllability of structural brain networks., Nat Commun, vol. 6, p. 8414, 2015.
A. N. Khambhati, Davis, K. A., Oommen, B. S., Chen, S. H., Lucas, T. H., Litt, B., and Bassett, D. S., Dynamic Network Drivers of Seizure Generation, Propagation and Termination in Human Neocortical Epilepsy., PLoS Comput Biol, vol. 11, no. 12, p. e1004608, 2015.
U. Braun, Schäfer, A., Walter, H., Erk, S., Romanczuk-Seiferth, N., Haddad, L., Schweiger, J. I., Grimm, O., Heinz, A., Tost, H., Meyer-Lindenberg, A., and Bassett, D. S., Dynamic reconfiguration of frontal brain networks during executive cognition in humans., Proc Natl Acad Sci U S A, vol. 112, no. 37, pp. 11678-83, 2015.
S. Gu, Satterthwaite, T. D., Medaglia, J. D., Yang, M., Gur, R. E., Gur, R. C., and Bassett, D. S., Emergence of system roles in normative neurodevelopment., Proc Natl Acad Sci U S A, vol. 112, no. 44, pp. 13681-6, 2015.
D. S. Bassett, Owens, E. T., Porter, M. A., M Manning, L., and Daniels, K. E., Extraction of force-chain network architecture in granular materials using community detection., Soft Matter, vol. 11, no. 14, pp. 2731-44, 2015.
M. G. Mattar, Cole, M. W., Thompson-Schill, S. L., and Bassett, D. S., A Functional Cartography of Cognitive Systems., PLoS Comput Biol, vol. 11, no. 12, p. e1004533, 2015.