The neocortex is a complex neurobiological system with many interacting regions. How
these regions work together to subserve flexible behavior and cognition has become …

The brain is a network of interleaved neural circuits. In modern connectomics, brain
connectivity is typically encoded as a network of nodes and edges, abstracting away the rich …

Model-based data analysis of whole-brain dynamics links the observed data to model
parameters in a network of neural masses. Recently, studies focused on the role of regional …

Resting-state fMRI is commonly used to derive brain parcellations, which are widely used for
dimensionality reduction and interpreting human neuroscience studies. We previously …

Microglia interact with neurons to facilitate synapse plasticity; however, signal (s)
contributing to microglia activation for synapse elimination in pathology are not fully …

A balanced excitation-inhibition ratio (E/I ratio) is critical for healthy brain function. Normative
development of cortex-wide E/I ratio remains unknown. Here, we noninvasively estimate a …

Traditionally, in neuroimaging, model-free analyses are used to find significant differences
between brain states via signal detection theory. Depending on the a priori assumptions …

What dynamic processes underly functional brain networks? Functional connectivity (FC)
and functional connectivity dynamics (FCD) are used to represent the patterns and dynamics …

Resting-state functional connectivity (RSFC) is widely used to predict behavioral measures.
To predict behavioral measures, representing RSFC with parcellations and gradients are the …

Dynamical whole-brain models were developed to link structural (SC) and functional
connectivity (FC) together into one framework. Nowadays, they are used to investigate the …