Path-dependent connectivity, not modularity, consistently predicts controllability of structural brain networks
نویسندگان
چکیده
منابع مشابه
Controllability of structural brain networks
Cognitive function is driven by dynamic interactions between large-scale neural circuits or networks, enabling behaviour. However, fundamental principles constraining these dynamic network processes have remained elusive. Here we use tools from control and network theories to offer a mechanistic explanation for how the brain moves between cognitive states drawn from the network organization of ...
متن کاملOn Structural Controllability of Symmetric (Brain) Networks
The question of controllability of natural and man-made network systems has recently received considerable attention. In the context of the human brain, the study of controllability may not only shed light into the organization and function of different neural circuits, but also inform the design and implementation of minimally invasive yet effective intervention protocols to treat neurological...
متن کاملStatistical analysis of minimum cost path based structural brain connectivity
Diffusion MRI can be used to study the structural connectivity within the brain. Brain connectivity is often represented by a binary network whose topology can be studied using graph theory. We present a framework for the construction of weighted structural brain networks, containing information about connectivity, which can be effectively analyzed using statistical methods. Network nodes are d...
متن کاملQuantifying the strength of structural connectivity underlying functional brain networks
In recent years, there has been strong interest in neuroscience studies to investigate brain organization through networks of brain regions that demonstrate strong functional connectivity (FC). Several well-known functional networks have been consistently identified in both taskrelated and resting-state fMRI across different study populations. These networks are extracted from observed fMRI usi...
متن کاملImaging connectivity: MRI and the structural networks of the brain.
Magnetic resonance imaging (MRI) is a flexible and widely available neuroimaging technique. Structural MRI and diffusion MRI, in particular, provide information about connectivity between brain regions which may be combined to obtain a picture of entire neural networks, or the so-called connectome. In this review we outline the principles of MR-based connectivity analysis, discuss what relevant...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Network Neuroscience
سال: 2020
ISSN: 2472-1751
DOI: 10.1162/netn_a_00157