1.9k citations · 9k across the 135 of their papers we have counts for
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Phase/amplitude synchronization of brain signals during motor imagery BCI tasks
Tiziana Cattai, Stefania Colonnese, Marie-Constance Corsi +3
The extraction of brain functioning features is a crucial step in the definition of brain-computer interfaces (BCIs). In the last decade, functional connectivity (FC) estimators ha…
On the nature of explanations offered by network science: A perspective from and for practicing neuroscientists
Maxwell A. Bertolero, Danielle S. Bassett
Network neuroscience represents the brain as a collection of regions and inter-regional connections. Given its ability to formalize systems-level models, network neuroscience has g…
Architecture and evolution of semantic networks in mathematics texts
Nicolas H. Christianson, Ann Sizemore Blevins, Danielle S. Bassett
Knowledge is a network of interconnected concepts. Yet, precisely how the topological structure of knowledge constrains its acquisition remains unknown, hampering the development o…
How humans learn and represent networks
Christopher W. Lynn, Danielle S. Bassett
Humans communicate, receive, and store information using sequences of items -- from words in a sentence or notes in music to abstract concepts in lectures and books. The networks f…
A practical guide to methodological considerations in the controllability of structural brain networks
Teresa M. Karrer, Jason Z. Kim, Jennifer Stiso +4
Predicting how the brain can be driven to specific states by means of internal or external control requires a fundamental understanding of the relationship between neural connectiv…
Learning in brain-computer interface control evidenced by joint decomposition of brain and behavior
Jennifer Stiso, Marie-Constance Corsi, Jean M. Vettel +5
Motor imagery-based brain-computer interfaces (BCIs) use an individuals ability to volitionally modulate localized brain activity as a therapy for motor dysfunction or to probe cau…
Brain state stability during working memory is explained by network control theory, modulated by dopamine D1/D2 receptor function, and diminished in schizophrenia
Urs Braun, Anais Harneit, Giulio Pergola +15
Dynamical brain state transitions are critical for flexible working memory but the network mechanisms are incompletely understood. Here, we show that working memory entails brainwi…
Design of Large Sequential Conformational Change in Mechanical Networks
Jason Z. Kim, Zhixin Lu, Danielle S. Bassett
From the complex motions of robots to the oxygen binding of hemoglobin, the function of many mechanical systems depends on large, coordinated movements of their components. Such mo…
Extraction of hierarchical functional connectivity components in human brain using resting-state fMRI
Dushyant Sahoo, Theodore D. Satterthwaite, Christos Davatzikos
The study of hierarchy in networks of the human brain has been of significant interest among the researchers as numerous studies have pointed out towards a functional hierarchical…
Human information processing in complex networks
Christopher W. Lynn, Lia Papadopoulos, Ari E. Kahn +1
Humans communicate using systems of interconnected stimuli or concepts -- from language and music to literature and science -- yet it remains unclear how, if at all, the structure…
The human brain's network architecture is genetically encoded by modular pleiotropy
Maxwell A. Bertolero, Ann Sizemore Blevins, Graham L. Baum +5
For much of biology, the manner in which genotype maps to phenotype remains a fundamental mystery. The few maps that are known tend to show modular pleiotropy: sets of phenotypes a…
Functional brain network architecture supporting the learning of social networks in humans
Steven H. Tompson, Ari E. Kahn, Emily B. Falk +2
Most humans have the good fortune to live their lives embedded in richly structured social groups. Yet, it remains unclear how humans acquire knowledge about these social structure…
Unifying Modular and Core-Periphery Structure in Functional Brain Networks over Development
Shi Gu, Cedric Huchuan Xia, Rastko Ciric +5
At rest, human brain functional networks display striking modular architecture in which coherent clusters of brain regions are activated. The modular account of brain function is p…
A Framework to Control Functional Connectivity in the Human Brain
Tommaso Menara, Giacomo Baggio, Danielle S. Bassett +1
In this paper, we propose a framework to control brain-wide functional connectivity by selectively acting on the brain's structure and parameters. Functional connectivity, which me…
Linear Dynamics & Control of Brain Networks
Jason Z. Kim, Danielle S. Bassett
The brain is an intricately structured organ responsible for the rich emergent dynamics that support the complex cognitive functions we enjoy as humans. With around neuro…
Multiscale and multimodal network dynamics underpinning working memory
Andrew C. Murphy, Maxwell A. Bertolero, Lia Papadopoulos +2
Working memory (WM) allows information to be stored and manipulated over short time scales. Performance on WM tasks is thought to be supported by the frontoparietal system (FPS), t…
The control of brain network dynamics across diverse scales of space and time
Evelyn Tang, Harang Ju, Graham L. Baum +4
The human brain is composed of distinct regions that are each associated with particular functions and distinct propensities for the control of neural dynamics. However, the relati…