Elvisha Dhamala

Assistant Professor

Feinstein Institute for Medical Research

United States

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Elvisha Dhamala is an Assistant Professor at the Feinstein Institute for Medical Research in the United States. Her research focuses on the neuroimaging traits associated with psychiatric conditions, including the interplay of sex and gender, as well as the implications of brain networks in diagnosing and treating psychosis. Recent publications explore the cell-type underpinnings of the human functional cortical connectome and the impact of social identities on neuroimaging research.

Articles (18)

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2025

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2022

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2021

Collaborators (6)

A. Z. A. Stephen Azariah Allsop

Yale University

UNITED STATES

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Jose M Rubio

New York State Psychiatric Institute

UNITED STATES

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Abhishek Jaywant

Assistant Professor

Weill Cornell Medicine

UNITED STATES

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Juan Zhou

Associate Professor

National University of Singapore (NUS)

SINGAPORE

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Avram Holmes

Associate Professor

Rutgers New Jersey Medical School

UNITED STATES

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Jocelyn Ricard

Stanford University

UNITED STATES

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Elvisha Dhamala

Research Interests

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About

Articles (18)

Persistent brain network signatures in psychosis: implications for diagnosis, prognosis, and treatment

Distinct brain network features predict internalizing and externalizing traits in children, adolescents and adults

Considering the interconnected nature of social identities in neuroimaging research

The cell-type underpinnings of the human functional cortical connectome

Influences of sex and gender on the associations between risk and protective factors, brain, and behavior

Generalizable and replicable brain-based predictions of cognitive functioning across common psychiatric illness

Functional brain networks are associated with both sex and gender in children

Brain-Based Predictions of Psychiatric Illness–Linked Behaviors Across the Sexes

Graph‐matching distance between individuals' functional connectomes varies with relatedness, age, and cognitive score

Shared functional connections within and between cortical networks predict cognitive abilities in adult males and females

Confronting racially exclusionary practices in the acquisition and analyses of neuroimaging data.

Confronting racially exclusionary practices in the acquisition and analyses of neuroimaging data

Comparison of individualized behavioral predictions across anatomical, diffusion and functional connectivity MRI

Comparison of individualized behavioral predictions across anatomical, diffusion and functional connectivity MRI

Proportional intracranial volume correction differentially biases behavioral predictions across neuroanatomical features, sexes, and development

Proportional intracranial volume correction differentially biases behavioral predictions across neuroanatomical features, sexes, and development

Methodological Considerations for Brain-Based Predictive Modelling in Psychiatry

Shared functional connections within and between cortical networks predict individual cognitive abilities in males and females

Collaborators (6)

A. Z. A. Stephen Azariah Allsop

Jose M Rubio

Abhishek Jaywant

Juan Zhou

Avram Holmes

Jocelyn Ricard

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