User profiles for Jonas Richiardi
Jonas RichiardiLausanne University Hospital and University of Lausanne Verified email at chuv.ch Cited by 5458 |
Principal components of functional connectivity: a new approach to study dynamic brain connectivity during rest
Functional connectivity (FC) as measured by correlation between fMRI BOLD time courses
of distinct brain regions has revealed meaningful organization of spontaneous fluctuations in …
of distinct brain regions has revealed meaningful organization of spontaneous fluctuations in …
Correlated gene expression supports synchronous activity in brain networks
During rest, brain activity is synchronized between different regions widely distributed throughout
the brain, forming functional networks. However, the molecular mechanisms supporting …
the brain, forming functional networks. However, the molecular mechanisms supporting …
Decoding brain states from fMRI connectivity graphs
Functional connectivity analysis of fMRI data can reveal synchronised activity between
anatomically distinct brain regions. Here, we extract the characteristic connectivity signatures of …
anatomically distinct brain regions. Here, we extract the characteristic connectivity signatures of …
Machine learning with brain graphs: predictive modeling approaches for functional imaging in systems neuroscience
The observation and description of the living brain has attracted a lot of research over the
past centuries. Many noninvasive imaging modalities have been developed, such as …
past centuries. Many noninvasive imaging modalities have been developed, such as …
Graph analysis of functional brain networks: practical issues in translational neuroscience
F de Vico Fallani, J Richiardi… - … Transactions of the …, 2014 - royalsocietypublishing.org
The brain can be regarded as a network: a connected system where nodes, or units,
represent different specialized regions and links, or connections, represent communication …
represent different specialized regions and links, or connections, represent communication …
[HTML][HTML] PRoNTo: pattern recognition for neuroimaging toolbox
In the past years, mass univariate statistical analyses of neuroimaging data have been
complemented by the use of multivariate pattern analyses, especially based on machine learning …
complemented by the use of multivariate pattern analyses, especially based on machine learning …
Artificial intelligence in musculoskeletal imaging: review of current literature, challenges, and trends
Artificial intelligence (AI) has gained major attention with a rapid increase in the number of
published articles, mostly recently. This review provides a general understanding of how AI …
published articles, mostly recently. This review provides a general understanding of how AI …
The multiscenario multienvironment biosecure multimodal database (BMDB)
A new multimodal biometric database designed and acquired within the framework of the
European BioSecure Network of Excellence is presented. It is comprised of more than 600 …
European BioSecure Network of Excellence is presented. It is comprised of more than 600 …
[HTML][HTML] To buy or not to buy—evaluating commercial AI solutions in radiology (the ECLAIR guidelines)
Artificial intelligence (AI) has made impressive progress over the past few years, including
many applications in medical imaging. Numerous commercial solutions based on AI …
many applications in medical imaging. Numerous commercial solutions based on AI …
[HTML][HTML] Integration and segregation of large-scale brain networks during short-term task automatization
The human brain is organized into large-scale functional networks that can flexibly reconfigure
their connectivity patterns, supporting both rapid adaptive control and long-term learning …
their connectivity patterns, supporting both rapid adaptive control and long-term learning …