Artwork

Contenuto fornito da OHBM. Tutti i contenuti dei podcast, inclusi episodi, grafica e descrizioni dei podcast, vengono caricati e forniti direttamente da OHBM o dal partner della piattaforma podcast. Se ritieni che qualcuno stia utilizzando la tua opera protetta da copyright senza la tua autorizzazione, puoi seguire la procedura descritta qui https://it.player.fm/legal.
Player FM - App Podcast
Vai offline con l'app Player FM !

Neurosalience #S4E6 with Shella Keilholz - Ubiquitous quasi-periodic patterns in resting state fMRI

1:09:36
 
Condividi
 

Manage episode 390583460 series 2888419
Contenuto fornito da OHBM. Tutti i contenuti dei podcast, inclusi episodi, grafica e descrizioni dei podcast, vengono caricati e forniti direttamente da OHBM o dal partner della piattaforma podcast. Se ritieni che qualcuno stia utilizzando la tua opera protetta da copyright senza la tua autorizzazione, puoi seguire la procedura descritta qui https://it.player.fm/legal.

Today, our guest is Shella Keilholz. Dr. Keilholz received her Bachelor's in Physics from Missouri University of Science and Technology in 1997, and her PhD in Engineering Physics from the University of Virginia in 2004. She went on to a do a post-doc at NIH in Dr. Alan Koretsky's lab and in 2004 joined the department of Biomedical Engineering at Emory University as a faculty member. She is now a full professor at Emory University and also closely affiliated with Georgia Tech.

Since around 2008 she has been uncovering new spatial and temporal patterns in resting state fMRI. She was the first to identify spatial propagation of wave-like behavior in the resting state time series and in 2011 coined the term quasi-periodic patterns (QPP) to describe whole brain networks that dominate much of the resting state signal. Recently, she and others have described three such patterns that account for most of the variance. Here we not only talk about her career but also delve into how these quasi-periodic patterns mesh with the current landscape of diverse features of resting state fMRI that continue to be found. She has shown that these patterns may have a central driver and may relate to such things as vasomotion, global signal, arousal state, and attention. In general, there is much more information from basic neurophysiology to cognition that remains to be derived from resting state fMRI, and Shella is among those leading the effort.

This was an incredibly stimulating and fun discission. We hope you enjoy it!

Episode producers:Omer Faruk Gulban

Jeff Mentch

  continue reading

92 episodi

Artwork
iconCondividi
 
Manage episode 390583460 series 2888419
Contenuto fornito da OHBM. Tutti i contenuti dei podcast, inclusi episodi, grafica e descrizioni dei podcast, vengono caricati e forniti direttamente da OHBM o dal partner della piattaforma podcast. Se ritieni che qualcuno stia utilizzando la tua opera protetta da copyright senza la tua autorizzazione, puoi seguire la procedura descritta qui https://it.player.fm/legal.

Today, our guest is Shella Keilholz. Dr. Keilholz received her Bachelor's in Physics from Missouri University of Science and Technology in 1997, and her PhD in Engineering Physics from the University of Virginia in 2004. She went on to a do a post-doc at NIH in Dr. Alan Koretsky's lab and in 2004 joined the department of Biomedical Engineering at Emory University as a faculty member. She is now a full professor at Emory University and also closely affiliated with Georgia Tech.

Since around 2008 she has been uncovering new spatial and temporal patterns in resting state fMRI. She was the first to identify spatial propagation of wave-like behavior in the resting state time series and in 2011 coined the term quasi-periodic patterns (QPP) to describe whole brain networks that dominate much of the resting state signal. Recently, she and others have described three such patterns that account for most of the variance. Here we not only talk about her career but also delve into how these quasi-periodic patterns mesh with the current landscape of diverse features of resting state fMRI that continue to be found. She has shown that these patterns may have a central driver and may relate to such things as vasomotion, global signal, arousal state, and attention. In general, there is much more information from basic neurophysiology to cognition that remains to be derived from resting state fMRI, and Shella is among those leading the effort.

This was an incredibly stimulating and fun discission. We hope you enjoy it!

Episode producers:Omer Faruk Gulban

Jeff Mentch

  continue reading

92 episodi

Alle episoder

×
 
Loading …

Benvenuto su Player FM!

Player FM ricerca sul web podcast di alta qualità che tu possa goderti adesso. È la migliore app di podcast e funziona su Android, iPhone e web. Registrati per sincronizzare le iscrizioni su tutti i tuoi dispositivi.

 

Guida rapida