Author

Dina R. Dajani

University of MiamiORCID 0000-0002-8244-6879Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Signature Assays, Organisms & Methods

Click to filter · or open tag

Organism:human· 3 Assay:imaging· 3 Approach:statistical model· 3 Research Focus:clustering· 1 Research Focus:spatial domain detection· 1

Frequent Co-Authors

Lucina Q. UddiniD· 3 shared Catherine A. BurrowsiD· 2 shared Mary Beth NebeliD· 2 shared Stewart H. MostofskyiD· 2 shared Adriana C. BaeziD· 1 shared Jason S. NomiiD· 1 shared Kathleen M. GatesiD· 1 shared Paola OdriozolaiD· 1 shared

Activity by Year

2017-2019 · peak 2/yr

Co-Author Collaboration Network

9 top collaborators · 22 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

3 shared papersNeuroscience

Lucina Q. UddinORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Parsing heterogeneity in autism spectrum disorder and attention-deficit/hyperactivity disorder with individual connectome mapping

Dina R. Dajani, Catherine A. Burrows, Mary Beth Nebel, Stewart H. Mostofsky, Kathleen M. Gates, Lucina Q. Uddin

This study examines cognitive flexibility in children with ASD, ADHD, and TD using functional connectivity, finding no stable subgrouping, suggesting categorical models of neural substrates may be invalid.

Brain Connectivity · Oct 21, 2019Peer-reviewedNeuroscience

Investigating functional brain network integrity using a traditional and novel diagnostic system for neurodevelopmental disorders

Dina R. Dajani, Catherine A. Burrows, Paola Odriozola, Adriana C. Baez, Mary Beth Nebel, Stewart H. Mostofsky, Lucina Q. Uddin

The paper examines functional brain network integrity across neurodevelopmental disorder categories and finds no significant differences between traditional diagnoses or executive function subgroups.

NeuroImage Clinical · Jan 1, 2019Peer-reviewedNeuroscience

Age-related changes in spatial and temporal features of resting state fMRI

Shruti G. Vij, Jason S. Nomi, Dina R. Dajani, Lucina Q. Uddin

This study examines age-related changes in spatial and temporal features of resting state fMRI data using IVA, revealing stable network configurations but age-related shifts in local organization and frequency spectrum.

bioRxiv · Feb 17, 2017 · PreprintNeuroscience