Publications

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PUBLICATIONS

Preprints

Ari E. Kahn, Danielle S. Bassett, and Nathaniel D. Daw (2024). Trial-by-Trial Learning of Successor Representations in Human Behavior, bioRxiv, eprint: https://www.biorxiv.org/content/10.1101/ 2024.11.07.622528v1

Sophie E. Loman, Lorenzo Caciagli, Ari E. Kahn, Karol P. Szymula, Nathaniel Nyema, and Dani S. Bassett (2024). Time-Resolved Functional Connectivity during Visuomotor Graph Learning, bioRxiv, eprint: https://www.biorxiv.org/content/10.1101/2024.07.04.602005v1

Alison E. Comrie, Emily J. Monroe, Ari E. Kahn, Eric L. Denovellis, Abhilasha Joshi, Jennifer A. Guidera, Timothy A. Krausz, Joshua D. Berke, Nathaniel D. Daw, and Loren M. Frank (2024). Hippocampal Representations of Alternative Possibilities Are Flexibly Generated to Meet Cognitive Demands, bioRxiv, eprint: https://www.biorxiv.org/content/10.1101/2024.09.23.613567v1

2024

Ari E. Kahn, Karol Szymula, Sophie E. Loman, Edda B. Haggerty, Nathaniel Nyema, Geoffrey K. Aguirre, and Dani S. Bassett (2024). Network Structure Influences the Strength of Learned Neural Representations. Accepted: Nature Communications, eprint: https://www.biorxiv.org/content/10.1101/2023.01.23.525254v2

Ari E. Kahn and Nathaniel D. Daw (2024). Humans Rationally Balance Mental Simulation and Temporally Abstract World Models. Accepted: Nature Communications Psychology, eprint: https://www.biorxiv.org/content/10.1101/2023.11.28.569070v3

Xiaohuan Xia, Andrei A. Klishin, Jennifer Stiso, Christopher W. Lynn, Ari E. Kahn, Lorenzo Caciagli, and Dani S. Bassett (2024). Human Learning of Hierarchical Graphs. Physical Review E, 109.4, p. 044305

Marie-Constance Corsi, Pierpaolo Sorrentino, Denis Schwartz, Nathalie George, Laurent Hugueville, Ari E. Kahn, Sophie Dupont, Danielle S. Bassett, Viktor Jirsa, and Fabrizio De Vico Fallani (2024). Measuring Neuronal Avalanches to Inform Brain-Computer Interfaces. iScience, 27.1, 108734

2023

Timothy A. Krausz, Alison E. Comrie, Ari E. Kahn, Loren M. Frank, Nathaniel D. Daw, and Joshua D. Berke (2023). Dual Credit Assignment Processes Underlie Dopamine Signals in a Complex Spatial Environment. Neuron 111.21, 3465–3478.e7

Arun S. Mahadevan, Eli J. Cornblath, David M. Lydon-Staley, Dale Zhou, Linden Parkes, Bart Larsen, Azeez Adebimpe, Ari E. Kahn, Ruben C. Gur, Raquel E. Gur, Theodore D. Satterthwaite, Daniel H. Wolf, and Dani S. Bassett (2023). Alprazolam Modulates Persistence Energy during Emotion Processing in First-Degree Relatives of Individuals with Schizophrenia: A Network Control Study. Molecular Psychiatry, pp. 1–10

2022

Jennifer Stiso, Christopher W. Lynn, Ari E. Kahn, Vinitha Rangarajan, Karol P. Szymula, Ryan Archer, Andrew Revell, Joel M. Stein, Brian Litt, Kathryn A. Davis, Timothy H. Lucas, and Dani S. Bassett (2022). Neurophysiological Evidence for Cognitive Map Formation during Sequence Learning. eNeuro 9.2, ENEURO.0361–21.2022

2021

Marie-Constance Corsi, Mario Chavez, Denis Schwartz, Nathalie George, Laurent Hugueville, Ari E. Kahn, Sophie Dupont, Danielle S. Bassett, and Fabrizio De Vico Fallani (2021). BCI Learning Induces Core-Periphery Reorganization in M/EEG Multiplex Brain Networks. Journal of Neural Engineering

2020

Marie-Constance Corsi, Mario Chavez, Denis Schwartz, Nathalie George, Laurent Hugueville, Ari E. Kahn, Sophie Dupont, Danielle S. Bassett, and Fabrizio De Vico Fallani (2020). Functional Disconnection of Associative Cortical Areas Predicts Performance during BCI Training. NeuroImage, article 116500.

Teresa M. Karrer, Jason Z. Kim, Jennifer Stiso, Ari E. Kahn, Fabio Pasqualetti, Ute Habel, and Danielle S. Basset (2020). A Practical Guide to Methodological Considerations in the Controllability of Structural Brain Networks. Journal of Neural Engineering 17.2, article 026031.

Christopher W. Lynn, Ari E. Kahn, Nathaniel Nyema, and Danielle S. Bassett (2020). Abstract Representations of Events Arise from Mental Errors in Learning and Memory. Nature Communications 11.1 (1), p. 2313

Christopher W. Lynn, Lia Papadopoulos, Ari E. Kahn, and Danielle S. Bassett (2020). Human Information Processing in Complex Networks. Nature Physics, pp. 1-9

Steven H. Tompson, Ari E. Kahn, Emily B. Falk, Jean M. Vettel, and Danielle S. Bassett (2020). Functional Brain Network Architecture Supporting the Learning of Social Networks in Humans. NeuroImage, article 116498.

2019

Betzel, Richard F., John D. Medaglia, Ari E. Kahn, Jonathan Soffer, Daniel R. Schonhaut, and Danielle S. Bassett. (2019). Structural, Geometric and Genetic Factors Predict Interregional Brain Connectivity Patterns Probed by Electrocorticography. Nature Biomedical Engineering, pp. 902-916

Elisabeth A. Karuza, Ari E. Kahn, and Danielle S. Bassett. (2019). Human Sensitivity to Community Structure Is Robust to Topological Variation. Complexity, vol. 2019, pp. 1-8

Ankit N. Khambhati, Ari E. Kahn, Julia Costantini, Youssef Ezzyat, Ethan A. Solomon, Robert E. Gross, Barbara C. Jobst, Sameer A. Sheth, Kareem A. Zaghloul, Gregory Worrell, Sarah Seger, Bradley C. Lega, Shennan Weiss, Michael R. Sperling, Richard Gorniak, Sandhitsu R. Das, Joel M. Stein, Daniel S. Rizzuto, Michael J. Kahana, Timothy H. Lucas, Kathryn A. Davis, Joseph I. Tracy, and Danielle S. Bassett (2019). Functional Control of Electrophysiological Network Architecture Using Direct Neurostimulation in Humans. Network Neuroscience, pp. 1–30

Jennifer Stiso, Ankit N. Khambhati, Tommaso Menara, Ari E. Kahn, Joel M. Stein, Sandihitsu R. Das, Richard Gorniak, Joseph Tracy, Brian Litt, Kathryn A. Davis, Fabio Pasqualetti, Timothy Lucas, and Danielle S. Bassett (2019). White Matter Network Architecture Guides Direct Electrical Stimulation Through Optimal State Transitions. Cell Reports, 10, 2554-2566.e7

2018

Kahn, Ari E., Elisabeth A. Karuza, Jean M. Vettel, and Danielle S. Bassett. (2018). Network constraints on learnability of probabilistic motor sequences. Nature Human Behavior 2, pp. 936–947

Kim, Jason Z., Jonathan M. Soffer, Ari E. Kahn, Jean M. Vettel, Fabio Pasqualetti, and Danielle S. Bassett. (2018). Role of graph architecture in controlling dynamical networks with applications to neural systems. Nature Physics, pp. 91-98

2017

Tompson, Steven H., Ari E. Kahn, Emily B. Falk, Jean M. Vettel, and Danielle S. Bassett. (2017). Individual Differences in Learning Social and Non-Social Network Structures. Journal of Experimental Psychology. Learning, Memory, and Cognition. pmid: 30024255

Ann E. Sizemore, Chad Giusti, Ari Kahn, Jean M. Vettel, Richard F. Betzel, and Danielle S. Bassett. (2017). Cliques and cavities in the human connectome. Journal of Computational Neuroscience, 44.1, pp. 115–145

Baum, Graham L., Rastko Ciric, David R. Roalf, Richard F. Betzel, Tyler M. Moore, Russell T. Shinohara, Ari E. Kahn, Simon N. Vandekar, Petra E. Rupert, Megan Quarmley, Philip A. Cook, Mark A. Elliott, Kosha Ruparel, Raquel E. Gur, Ruben C. Gur, Danielle S. Bassett, and Theodore D. Satterthwaite. (2017). Modular Segregation of Structural Brain Networks Supports the Development of Executive Function in Youth. Current Biology 27.11, pp. 1561–1572

Kahn, Ari E., Marcelo G. Mattar, Jean M. Vettel, Nicholas F. Wymbs, Scott T. Grafton, and Danielle S. Bassett. (2017). Structural Pathways Supporting Swift Acquisition of New Visuomotor Skills. Cerebral Cortex 27.1, pp. 173–184

Karuza, Elisabeth A., Ari E. Kahn, Sharon L. Thompson-Schill, and Danielle S. Bassett. (2017). Process reveals structure: How a network is traversed mediates expectations about its architecture. Scientific Reports 7.1, p. 12733

Tang, Evelyn, Chad Giusti, Graham L. Baum, Shi Gu, Eli Pollock, Ari E. Kahn, David R. Roalf, Tyler M. Moore, Kosha Ruparel, Ruben C. Gur, Raquel E. Gur, Theodore D. Satterthwaite, and Danielle S. Bassett. (2017). Developmental increases in white matter network controllability support a growing diversity of brain dynamics. Nature Communications 8.1, p. 1252

2015

Gu, Shi, Fabio Pasqualetti, Matthew Cieslak, Qawi K. Telesford, Alfred B. Yu, Ari E. Kahn, John D. Medaglia, Jean M. Vettel, Michael B. Miller, Scott T. Grafton, and Danielle S. Bassett. (2015). Controllability of structural brain networks. Nature Communications 6, p. 8414