Author

Nina Lisofsky

Max Planck Institute for Human DevelopmentORCID 0000-0002-9428-8433Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Neuroscience· 2

Signature Assays, Organisms & Methods

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Assay:imaging· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Organism:human· 1

Frequent Co-Authors

Gustavo DecoiD· 2 shared Simone KühniD· 2 shared Elisa FilevichiD· 1 shared Elisabeth WengeriD· 1 shared Jens Volkmar SchwarzbachiD· 1 shared Johan MårtenssoniD· 1 shared Mario PannunziiD· 1 shared Martyna Lochstet· 1 shared

Activity by Year

2017-2017 · peak 2/yr

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10 top collaborators · 33 mutual co-author links

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2 shared papersNeuroscience

Gustavo DecoORCID

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2 papers

Recent·Most cited

NeuroscienceNeuroImagePeer-reviewedJul 3, 2017

Resting-state fMRI correlations: from link-wiseunreliability to whole brain stability

Mario Pannunzi, Rikkert Hindriks, Ruggero G. Bettinardi…·Gustavo Deco

This study investigates the reliability and variability of resting-state fMRI functional connectivity, showing that while single links are unreliable, whole-brain correlation structures are stable and can serve as functional fingerprints.

90 citationstop 3%

imagingstatistical model

𝕏 PostBluesky

NeurosciencebioRxivPreprintJan 30, 2017

Consistent local dynamics in the brain across sessions are revealed by whole brain modeling of resting state activity

Patricio Donnelly Kehoe, Victor M. Saenger, Nina Lisofsky…·Gustavo Deco

This paper develops a whole-brain modeling technique to estimate individual brain dynamics from resting state fMRI, showing consistent local dynamics across sessions with minimal scanning time.

5 citations

humanimaging

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