Author

Manuel Fernando Casanova

Prisma HealthORCID 0000-0002-3874-844XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Research Focus:benchmarking· 2 Organism:human· 2 Assay:electronic health records· 1 Research Focus:gene regulatory network inference· 1 Assay:imaging· 1

Frequent Co-Authors

Julia L. SharpiD· 2 shared Manuel CasanovaiD· 2 shared Andrew L. AlexanderiD· 1 shared Bill Taylor· 1 shared Daniela DenticoiD· 1 shared Desmond P. Kelly· 1 shared Estate M. SokhadzeiD· 1 shared Frank Alex Feltus· 1 shared

Activity by Year

2017-2019 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 18 mutual co-author links

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2 shared papersNeuroscience

Julia L. SharpORCID

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Author profile →

3 papers

Recent·Most cited

Immune, Autonomic, and Endocrine Dysregulation in Autism and Ehlers-Danlos Syndrome/Hypermobility Spectrum Disorders Versus Unaffected Controls

Manuel Casanova, Julia L. Sharp, Stephen M. Edelson, Desmond P. Kelly, Estate M. Sokhadze, Manuel Fernando Casanova

The paper investigates symptom overlap between autism and Ehlers-Danlos syndrome/hypermobility spectrum disorders, finding shared immune, autonomic, and endocrine dysregulation and suggesting potential hereditary connective tissue disorder links.

Journal for ReAttach Therapy and Developmental Diversities · Oct 31, 2019Peer-reviewedNeuroscience

Widespread Genotype-Phenotype Correlations in Intellectual Disability

Manuel Casanova, Zachary Gerstner, Julia L. Sharp, Manuel Fernando Casanova, Frank Alex Feltus

The paper identifies genotype-phenotype correlations in intellectual disability by analyzing gene interaction networks linked to clinical features.

Frontiers in Psychiatry · Oct 29, 2018Peer-reviewedGenetics

Local Low Frequency fMRI Synchrony Is A Proxy For The Spatial Extent Of Functional Connectivity

Gregory R. Kirk, Daniela Dentico, Rasmus M. Birn, Nagesh Adluru, Thomas Blumensath, Bill Taylor, Lauren A. Michael, Manuel Fernando Casanova, Andrew L. Alexander

The paper shows that local low frequency fMRI synchrony predicts the spatial extent of functional connectivity, offering a data-driven method to analyze connectivity patterns without prior assumptions.

bioRxiv · May 17, 2017 · PreprintNeuroscience