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, “The community structure of functional brain networks exhibits scale-specific patterns of inter-and intra-subject variability”, NeuroImage, 2019.
, “Exact and approximate stability conditions for cluster synchronization of Kuramoto oscillators”, in Proc. American Control Conference, Philadelphia, PA, USA, 2019.
, “Harnessing networks and machine learning in neuropsychiatric care.”, Curr Opin Neurobiol, vol. 55, pp. 32-39, 2019.
, “Human information processing in complex networks”, arXiv preprint arXiv:1906.00926, 2019.
, “The importance of the whole: topological data analysis for the network neuroscientist”, Network Neuroscience, vol. 3, pp. 656–673, 2019.
, “Individual differences in learning social and nonsocial network structures.”, J Exp Psychol Learn Mem Cogn, vol. 45, no. 2, pp. 253-271, 2019.
, “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.
, “Learning in brain-computer interface control evidenced by joint decomposition of brain and behavior”, arXiv preprint arXiv:1908.00077, 2019.
, “Learning in brain-computer interface control evidenced by joint decomposition of brain and behavior”, arXiv preprint arXiv:1908.00077, 2019.
, “Motion artifact in studies of functional connectivity: Characteristics and mitigation strategies.”, Hum Brain Mapp, vol. 40, no. 7, pp. 2033-2051, 2019.
, “Network neuroscience for optimizing brain-computer interfaces.”, Phys Life Rev, 2019.
, “Person-Based Brain Morphometric Similarity is Heritable and Correlates With Biological Features.”, Cereb Cortex, vol. 29, no. 2, pp. 852-862, 2019.
, “Philosophy of Biology: Seizing an opportunity”, eLife, vol. 8, p. e48336, 2019.
, “A practical guide to methodological considerations in the controllability of structural brain networks”, arXiv preprint arXiv:1908.03514, 2019.
, “A practical guide to methodological considerations in the controllability of structural brain networks”, arXiv preprint arXiv:1908.03514, 2019.
, “Sex differences in network controllability as a predictor of executive function in youth.”, Neuroimage, vol. 188, pp. 122-134, 2019.
, “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.
, “A subset of topologically associating domains fold into mesoscale core-periphery networks”, Scientific reports, vol. 9, p. 9526, 2019.
, “A subset of topologically associating domains fold into mesoscale core-periphery networks”, Scientific reports, vol. 9, p. 9526, 2019.
, “Brain state expression and transitions are related to complex executive cognition in normative neurodevelopment.”, Neuroimage, vol. 166, pp. 293-306, 2018.
, “Brain state flexibility accompanies motor-skill acquisition.”, Neuroimage, vol. 171, pp. 135-147, 2018.
, “Data-driven brain network models differentiate variability across language tasks.”, PLoS Comput Biol, vol. 14, no. 10, p. e1006487, 2018.
, “Disrupted dynamic network reconfiguration of the language system in temporal lobe epilepsy.”, Brain, vol. 141, no. 5, pp. 1375-1389, 2018.
, “Functional Alignment with Anatomical Networks is Associated with Cognitive Flexibility.”, Nat Hum Behav, vol. 2, no. 2, pp. 156-164, 2018.
, “The impact of in-scanner head motion on structural connectivity derived from diffusion MRI.”, Neuroimage, vol. 173, pp. 275-286, 2018.
, “The landscape of NeuroImage-ing research.”, Neuroimage, vol. 183, pp. 872-883, 2018.
, “Large-scale dynamic modeling of task-fMRI signals via subspace system identification.”, J Neural Eng, vol. 15, no. 6, p. 066016, 2018.
, “Linked dimensions of psychopathology and connectivity in functional brain networks.”, Nat Commun, vol. 9, no. 1, p. 3003, 2018.
, “A mechanistic model of connector hubs, modularity and cognition.”, Nat Hum Behav, vol. 2, no. 10, pp. 765-777, 2018.
, “Mitigating head motion artifact in functional connectivity MRI.”, Nat Protoc, vol. 13, no. 12, pp. 2801-2826, 2018.
, “Modeling and interpreting mesoscale network dynamics.”, Neuroimage, vol. 180, no. Pt B, pp. 337-349, 2018.
, “On the nature and use of models in network neuroscience.”, Nat Rev Neurosci, vol. 19, no. 9, pp. 566-578, 2018.
, “Network Approaches to Understand Individual Differences in Brain Connectivity: Opportunities for Personality Neuroscience.”, Personal Neurosci, vol. 1, 2018.
, “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.
, “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.
, “Network Neuroscience: A Framework for Developing Biomarkers in Psychiatry.”, Curr Top Behav Neurosci, vol. 40, pp. 79-109, 2018.
, “Personalized Neuroscience: Common and Individual-Specific Features in Functional Brain Networks.”, Neuron, vol. 98, no. 2, pp. 243-245, 2018.
, “Predicting future learning from baseline network architecture.”, Neuroimage, vol. 172, pp. 107-117, 2018.
, “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.
, “Subgraphs of functional brain networks identify dynamical constraints of cognitive control.”, PLoS Comput Biol, vol. 14, no. 7, p. e1006234, 2018.
, “Understanding the Emergence of Neuropsychiatric Disorders With Network Neuroscience.”, Biol Psychiatry Cogn Neurosci Neuroimaging, vol. 3, no. 9, pp. 742-753, 2018.
, “Autaptic Connections Shift Network Excitability and Bursting”, Scientific Reports, vol. 7, 2017.
, “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.
, “Brain and cognitive reserve: Translation via network control theory.”, Neurosci Biobehav Rev, vol. 75, pp. 53-64, 2017.
, “Coherent activity between brain regions that code for value is linked to the malleability of human behavior.”, Sci Rep, vol. 7, p. 43250, 2017.
, “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.
, “Developmental increases in white matter network controllability support a growing diversity of brain dynamics.”, Nat Commun, vol. 8, no. 1, p. 1252, 2017.
, “Evolution of brain network dynamics in neurodevelopment”, Network Neuroscience, vol. 1, no. 1, pp. 14-30, 2017.
, “Functional hypergraph uncovers novel covariant structures over neurodevelopment.”, Hum Brain Mapp, vol. 38, no. 8, pp. 3823-3835, 2017.
, “Globally weaker and topologically different: resting-state connectivity in youth with autism.”, Mol Autism, vol. 8, p. 39, 2017.
, “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.
, “Multi-scale brain networks.”, Neuroimage, vol. 160, pp. 73-83, 2017.
, “Network neuroscience.”, Nat Neurosci, vol. 20, no. 3, pp. 353-364, 2017.
, “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.
, “Optimal trajectories of brain state transitions.”, Neuroimage, vol. 148, pp. 305-317, 2017.
, “Positive affect, surprise, and fatigue are correlates of network flexibility.”, Sci Rep, vol. 7, no. 1, p. 520, 2017.
, “Recurring functional interactions predict network architecture of interictal and ictal states in neocortical epilepsy”, eNeuro, vol. 4, p. ENEURO–0091, 2017.
, “Small-World Brain Networks Revisited.”, Neuroscientist, vol. 23, no. 5, pp. 499-516, 2017.
, “Structural Pathways Supporting Swift Acquisition of New Visuomotor Skills.”, Cereb Cortex, vol. 27, no. 1, pp. 173-184, 2017.
, “Activity flow over resting-state networks shapes cognitive task activations.”, Nat Neurosci, vol. 19, no. 12, pp. 1718-1726, 2016.
, “Choosing Wavelet Methods, Filters, and Lengths for Functional Brain Network Construction.”, PLoS One, vol. 11, no. 6, p. e0157243, 2016.
, “Detection of functional brain network reconfiguration during task-driven cognitive states.”, Neuroimage, vol. 142, pp. 198-210, 2016.
, “Dissociable changes in functional network topology underlie early category learning and development of automaticity.”, Neuroimage, vol. 141, pp. 220-241, 2016.
, “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.
, “Evolution of network architecture in a granular material under compression”, Physical Review E, vol. 94, p. 032908, 2016.
, “The flexible brain.”, Brain, vol. 139, no. Pt 8, pp. 2110-2, 2016.
, “Functional Network Dynamics of the Language System.”, Cereb Cortex, vol. 26, no. 11, pp. 4148-4159, 2016.
, “Individual Differences in Dynamic Functional Brain Connectivity across the Human Lifespan.”, PLoS Comput Biol, vol. 12, no. 11, p. e1005178, 2016.
, “Local Patterns to Global Architectures: Influences of Network Topology on Human Learning.”, Trends Cogn Sci, vol. 20, no. 8, pp. 629-640, 2016.
, “Network and multilayer network approaches to understanding human brain dynamics”, Philosophy of Science, vol. 83, pp. 710–720, 2016.
, “Optimally controlling the human connectome: the role of network topology.”, Sci Rep, vol. 6, p. 30770, 2016.
, “A positive mood, a flexible brain”, arXiv preprint arXiv:1601.07881, 2016.
, “A Powerful DREADD: Revealing Structural Drivers of Functional Dynamics.”, Neuron, vol. 91, no. 2, pp. 213-5, 2016.
, “Small-World Propensity and Weighted Brain Networks.”, Sci Rep, vol. 6, p. 22057, 2016.
, “Stimulation-Based Control of Dynamic Brain Networks.”, PLoS Comput Biol, vol. 12, no. 9, p. e1005076, 2016.
, “Stretch-induced network reconfiguration of collagen fibres in the human facet capsular ligament.”, J R Soc Interface, vol. 13, no. 114, p. 20150883, 2016.
, “Topological and geometric measurements of force-chain structure.”, Phys Rev E, vol. 94, no. 3-1, p. 032909, 2016.
, “Topological distortion and reorganized modular structure of gut microbial co-occurrence networks in inflammatory bowel disease.”, Sci Rep, vol. 6, p. 26087, 2016.
, “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.
, “Virtual Cortical Resection Reveals Push-Pull Network Control Preceding Seizure Evolution.”, Neuron, vol. 91, no. 5, pp. 1170-1182, 2016.
, “Brain network adaptability across task states.”, PLoS Comput Biol, vol. 11, no. 1, p. e1004029, 2015.
, “Common and Dissociable Dysfunction of the Reward System in Bipolar and Unipolar Depression.”, Neuropsychopharmacology, vol. 40, no. 9, pp. 2258-68, 2015.
, “Controllability of structural brain networks.”, Nat Commun, vol. 6, p. 8414, 2015.
, “Dynamic Network Drivers of Seizure Generation, Propagation and Termination in Human Neocortical Epilepsy.”, PLoS Comput Biol, vol. 11, no. 12, p. e1004608, 2015.
, “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.
, “Emergence of system roles in normative neurodevelopment.”, Proc Natl Acad Sci U S A, vol. 112, no. 44, pp. 13681-6, 2015.
, “Extraction of force-chain network architecture in granular materials using community detection.”, Soft Matter, vol. 11, no. 14, pp. 2731-44, 2015.
, “A Functional Cartography of Cognitive Systems.”, PLoS Comput Biol, vol. 11, no. 12, p. e1004533, 2015.