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Einat Liebenthal, D.Sc.

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Overview
I am a cognitive neuroscientist, Assistant Professor of Psychiatry at Harvard Medical School, and Associate Director of the Functional Neuroimaging and Bioinformatics Lab in the Institute for Technology in Psychiatry at McLean Hospital. I study verbal and non-verbal communication, using digital measures of behavior and multimodal neuroimaging methods. The ultimate goal of my research is to inform the development of diagnostic methods and psychotherapeutic interventions that are scalable, and neuroscientifically grounded. I have previously received funding to study the functional organization of the human brain for spoken language perception, and the abnormal interactions of language and emotion neurocircuits in psychotic disorders. Current projects focus on digital phenotyping of language in relation to mental health; and the development of naturalistic approaches for dynamic assessment of language and emotion.

Mentoring
Available: 02/18/22, Expires: 03/01/26

This project seeks to develop and validate a movie functional magnetic resonance imaging (fMRI) paradigm for assessing language and emotion functions in individuals who have language and/or emotional impairments in relation to a neurological (brain tumor induced aphasia) or psychiatric (depression) disorder. This is an opportunity for an undergraduate or graduate student, or postdoctoral fellow, to get involved in cognitive neuroscience research. Depending on the student's skills and interests, and the stage of the project, the student may assist in developing a movie-clip stimulus database, behavioral and computational testing of movie clip stimuli, collection and analysis of eye tracking data, processing and analysis of retrospective fMRI data, and/or collection of new fMRI data. Required experience and skills include background and interest in cognitive, clinical, or computational neuroscience, and excellent analytical and communication abilities. Specific experience with neuroimaging data analysis, and/or methods for computational analysis of speech, voice, and face data, will be preferred.


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Funded by the NIH National Center for Advancing Translational Sciences through its Clinical and Translational Science Awards Program, grant number UL1TR002541.