User profiles for Ashkan Faghiri
 | Ashkan FaghiriPost-doctoral Researcher, Translational Research in Neuroimaging and Data Science … Verified email at gatech.edu Cited by 385 |
Changing brain connectivity dynamics: from early childhood to adulthood
Brain maturation through adolescence has been the topic of recent studies. Previous works
have evaluated changes in morphometry and also changes in functional connectivity. …
have evaluated changes in morphometry and also changes in functional connectivity. …
A unified approach for characterizing static/dynamic connectivity frequency profiles using filter banks
Static and dynamic functional network connectivity (FNC) are typically studied separately,
which makes us unable to see the full spectrum of connectivity in each analysis. Here, we …
which makes us unable to see the full spectrum of connectivity in each analysis. Here, we …
Tools of the trade: estimating time-varying connectivity patterns from fMRI data
Given the dynamic nature of the brain, there has always been a motivation to move beyond ‘static’
functional connectivity, which characterizes functional interactions over an extended …
functional connectivity, which characterizes functional interactions over an extended …
Frequency modulation increases the specificity of time-resolved connectivity: A resting-state fMRI study
Representing data using time-resolved networks is valuable for analyzing functional data of
the human brain. One commonly used method for constructing time-resolved networks from …
the human brain. One commonly used method for constructing time-resolved networks from …
Multi-spatial-scale dynamic interactions between functional sources reveal sex-specific changes in schizophrenia
We introduce an extension of independent component analysis (ICA), called multiscale ICA,
and design an approach to capture dynamic functional source interactions within and …
and design an approach to capture dynamic functional source interactions within and …
A Unified Framework for Modularizing and Comparing Time-Resolved Functional Connectivity Methods
Functional connectivity is a widely used measure for finding the relationships between
functional entities of the brain. Recently, more focus has been put on the methods that aim to …
functional entities of the brain. Recently, more focus has been put on the methods that aim to …
Cue-induced craving and negative emotion disrupt response inhibition in methamphetamine use disorder: Behavioral and fMRI results from a mixed Go/No-Go task
Background Drug-related cue-reactivity, dysfunctional negative emotion processing, and
response-disinhibition constitute three core aspects of methamphetamine use disorder (MUD). …
response-disinhibition constitute three core aspects of methamphetamine use disorder (MUD). …
[HTML][HTML] Moving beyond the 'CAP'of the Iceberg: Intrinsic connectivity networks in fMRI are continuously engaging and overlapping
Resting-state functional magnetic resonance imaging is currently the mainstay of functional
neuroimaging and has allowed researchers to identify intrinsic connectivity networks (aka …
neuroimaging and has allowed researchers to identify intrinsic connectivity networks (aka …
Weighted average of shared trajectory: A new estimator for dynamic functional connectivity efficiently estimates both rapid and slow changes over time
Background Dynamic functional network connectivity (dFNC) of the brain has attracted
considerable attention recently. Many approaches have been suggested to study dFNC with …
considerable attention recently. Many approaches have been suggested to study dFNC with …
[HTML][HTML] Characterizing whole brain temporal variation of functional connectivity via zero and first order derivatives of sliding window correlations
Brain functional connectivity has been shown to change over time during resting state fMRI
experiments. Close examination of temporal changes have revealed a small set of whole-…
experiments. Close examination of temporal changes have revealed a small set of whole-…