Author

Sana Hussain

University of California, RiversideORCID 0000-0003-0986-2654Unclaimed 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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Organism:human· 2 Assay:imaging· 2 Approach:statistical model· 2 Research Focus:clustering· 1 Research Focus:dimensionality reduction· 1

Frequent Co-Authors

Aaron R. SeitziD· 2 shared Jason A. LangleyiD· 2 shared Megan A. K. PetersiD· 2 shared Xiaoping Philip HuiD· 2 shared Isaac MenchacaiD· 1 shared Kimia C. YaghoubiiD· 1 shared Mahsa Alizadeh ShalchyiD· 1 shared

Activity by Year

2022-2023 · peak 1/yr

Co-Author Collaboration Network

7 top collaborators · 21 mutual co-author links

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2 shared papersNeuroscience

Aaron R. SeitzORCID

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2 papers

Recent·Most cited

NeuroscienceBrain Research BulletinPeer-reviewedAug 14, 2023

Locus coeruleus neuromelanin predicts ease of attaining and maintaining neural states of high attentiveness

Sana Hussain, Isaac Menchaca, Mahsa Alizadeh Shalchy…·Megan A. K. Peters

The paper uses a hidden Markov model to analyze functional neuroimaging data and shows that locus coeruleus neuromelanin levels correlate with individual differences in maintaining attention-related neural states.

5 citations

humanimaging

𝕏 PostBluesky

NeuroscienceBrain ConnectivityPeer-reviewedNov 11, 2022

A novel hidden Markov approach to studying dynamic functional connectivity states in human neuroimaging

Sana Hussain, Jason A. Langley, Aaron R. Seitz…·Megan A. K. Peters

This paper introduces a novel hidden Markov model for analyzing dynamic functional connectivity states in neuroimaging data and shows it outperforms existing methods.

18 citations

humanimaging

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