@russpoldrack @tschonberg @dinga92 @rotembot @ten_photos @flxhlzmstr Most likely: Features of the data *and* goal of the analysis Sticking with rs-fc: - Performing global signal regression strengthens behavioral associations (https://t.co/QSWfcp2g8c) -
RT @INM7_ISN: @constable_todd @sNeuroble Interestingly though, test-retest replicability seems to inversely relate to the amount of confoun…
RT @ruchikaprakash: For those following this interesting discussion today on resting-state fc representing state vs. trait, here's the tl;d…
RT @ruchikaprakash: For those following this interesting discussion today on resting-state fc representing state vs. trait, here's the tl;d…
RT @ruchikaprakash: For those following this interesting discussion today on resting-state fc representing state vs. trait, here's the tl;d…
RT @INM7_ISN: @constable_todd @sNeuroble Interestingly though, test-retest replicability seems to inversely relate to the amount of confoun…
For those following this interesting discussion today on resting-state fc representing state vs. trait, here's the tl;dr https://t.co/3kJ8hd626Z https://t.co/HZLkP01jdP https://t.co/hrbnVMgxZN https://t.co/6205zGXTL0 https://t.co/MCeijKa15Z
RT @INM7_ISN: @constable_todd @sNeuroble Interestingly though, test-retest replicability seems to inversely relate to the amount of confoun…
RT @INM7_ISN: @constable_todd @sNeuroble Interestingly though, test-retest replicability seems to inversely relate to the amount of confoun…
RT @INM7_ISN: @constable_todd @sNeuroble Interestingly though, test-retest replicability seems to inversely relate to the amount of confoun…
RT @INM7_ISN: @constable_todd @sNeuroble Interestingly though, test-retest replicability seems to inversely relate to the amount of confoun…
@constable_todd @sNeuroble Interestingly though, test-retest replicability seems to inversely relate to the amount of confound-regression applied. Keeping more variance in the time-series increases test-retest reliability (and abolishes negative connectio
@bttyeo @LucinaUddin @danilobzdok @Nathan_Spreng @pretty_Jingwei Though reliability is higher if you don't remove it, indicating it may be an individually specific "trait" https://t.co/y8FAbvFKUE
RT @INM7_ISN: Effects of nuisance regressors on resting-state fMRI remains challenging We showed that confound regression may reduce relia…
RT @INM7_ISN: Effects of nuisance regressors on resting-state fMRI remains challenging We showed that confound regression may reduce relia…
RT @INM7_ISN: Effects of nuisance regressors on resting-state fMRI remains challenging We showed that confound regression may reduce relia…
RT @INM7_ISN: Effects of nuisance regressors on resting-state fMRI remains challenging We showed that confound regression may reduce relia…
RT @INM7_ISN: Effects of nuisance regressors on resting-state fMRI remains challenging We showed that confound regression may reduce relia…
RT @INM7_ISN: Effects of nuisance regressors on resting-state fMRI remains challenging We showed that confound regression may reduce relia…
RT @INM7_ISN: Effects of nuisance regressors on resting-state fMRI remains challenging We showed that confound regression may reduce relia…
RT @INM7_ISN: Effects of nuisance regressors on resting-state fMRI remains challenging We showed that confound regression may reduce relia…
RT @INM7_ISN: Effects of nuisance regressors on resting-state fMRI remains challenging We showed that confound regression may reduce relia…
RT @INM7_ISN: Effects of nuisance regressors on resting-state fMRI remains challenging We showed that confound regression may reduce relia…
RT @INM7_ISN: Effects of nuisance regressors on resting-state fMRI remains challenging We showed that confound regression may reduce relia…
RT @INM7_ISN: Effects of nuisance regressors on resting-state fMRI remains challenging We showed that confound regression may reduce relia…
RT @INM7_ISN: Effects of nuisance regressors on resting-state fMRI remains challenging We showed that confound regression may reduce relia…
RT @INM7_ISN: Effects of nuisance regressors on resting-state fMRI remains challenging We showed that confound regression may reduce relia…
RT @INM7_ISN: Effects of nuisance regressors on resting-state fMRI remains challenging We showed that confound regression may reduce relia…
Effects of nuisance regressors on resting-state fMRI remains challenging We showed that confound regression may reduce reliability: https://t.co/Mb7WoY2HjT New work in HBM showes that omission from dual regression improves accuracy of connectivity maps:
Awesome work by @bttyeo & team. Curious thought: Any form of global signal regression reduced test-retest reliability, probably by removing idiosyncratic noise (https://t.co/gJOed8CzTc). So GSR hurts reliability but helps relation to and predictio
Resting-state test–retest reliability of a priori defined canonical networks over different preprocessing steps https://t.co/bWHChPXaCU
RT @Neuro_Skeptic: Optimizing the test-retest reliability of resting state fMRI networks using preprocessing steps https://t.co/1GWfVU44ow
RT @Neuro_Skeptic: Optimizing the test-retest reliability of resting state fMRI networks using preprocessing steps https://t.co/1GWfVU44ow
RT @Neuro_Skeptic: Optimizing the test-retest reliability of resting state fMRI networks using preprocessing steps https://t.co/1GWfVU44ow
Optimizing the test-retest reliability of resting state fMRI networks using preprocessing steps https://t.co/1GWfVU44ow