Reworking the language network

E Fedorenko, SL Thompson-Schill - Trends in cognitive sciences, 2014 - cell.com
Prior investigations of functional specialization have focused on the response profiles of
particular brain regions. Given the growing emphasis on regional covariation, we propose to …

Precursors to language development in typically and atypically developing infants and toddlers: The importance of embracing complexity

D d'Souza, H d'Souza, A Karmiloff-Smith - Journal of child language, 2017 - cambridge.org
In order to understand how language abilities emerge in typically and atypically developing
infants and toddlers, it is important to embrace complexity in development. In this paper, we …

Learning-induced autonomy of sensorimotor systems

DS Bassett, M Yang, NF Wymbs, ST Grafton - Nature neuroscience, 2015 - nature.com
Distributed networks of brain areas interact with one another in a time-varying fashion to
enable complex cognitive and sensorimotor functions. Here we used new network-analysis …

Functionally distinct language and Theory of Mind networks are synchronized at rest and during language comprehension

AM Paunov, IA Blank… - Journal of …, 2019 - journals.physiology.org
Communication requires the abilities to generate and interpret utterances and to infer the
beliefs, desires, and goals of others (“Theory of Mind”; ToM). These two abilities have been …

Network and multilayer network approaches to understanding human brain dynamics

SF Muldoon, DS Bassett - Philosophy of Science, 2016 - cambridge.org
Network neuroscience provides a systems approach to the study of the brain and enables
the examination of interactions measured at different temporal and spatial scales. We review …

Episodic memory retrieval benefits from a less modular brain network organization

AJ Westphal, S Wang, J Rissman - Journal of Neuroscience, 2017 - Soc Neuroscience
Most complex cognitive tasks require the coordinated interplay of multiple brain networks,
but the act of retrieving an episodic memory may place especially heavy demands for …

[HTML][HTML] Strong intercorrelations among global graph-theoretic indices of structural connectivity in the human brain

JW Madole, CR Buchanan, M Rhemtulla, SJ Ritchie… - NeuroImage, 2023 - Elsevier
Graph-theoretic metrics derived from neuroimaging data have been heralded as powerful
tools for uncovering neural mechanisms of psychological traits, psychiatric disorders, and …

Machine learning on human connectome data from MRI

CJ Brown, G Hamarneh - arXiv preprint arXiv:1611.08699, 2016 - arxiv.org
Functional MRI (fMRI) and diffusion MRI (dMRI) are non-invasive imaging modalities that
allow in-vivo analysis of a patient's brain network (known as a connectome). Use of these …

Emerging frontiers of neuroengineering: a network science of brain connectivity

DS Bassett, AN Khambhati… - Annual review of …, 2017 - annualreviews.org
Neuroengineering is faced with unique challenges in repairing or replacing complex neural
systems that are composed of many interacting parts. These interactions form intricate …

A network engineering perspective on probing and perturbing cognition with neurofeedback

DS Bassett, AN Khambhati - Annals of the New York Academy …, 2017 - Wiley Online Library
Network science and engineering provide a flexible and generalizable tool set to describe
and manipulate complex systems characterized by heterogeneous interaction patterns …