Our lab focuses on identifying the neuroanatomical substrate for symptoms common in autism and other neurodevelopmental conditions with a goal of direct translation into possible targets for noninvasive treatment modalities, e.g., TMS and/or fMRI-based neurofeedback.
This entails three interactive research arms:
Generation of circuit-based hypotheses for specific symptoms from cohorts with lesions, tubers, tumor resections, etc.
Validation of these localizations through prospective neuroimaging study of patients with neurodevelopmental disorders with similar symptoms, and
Testing whether this circuit can be modulated through non-invasive therapy, e.g., behavioral, fMRI-neurofeedback, or potentially TMS-based interventions.
This project seeks to understand whether there are particular networks of regions impacted by lesions that are associated with particular symptoms that are also seen in Autism Spectrum Disorders. We have begun several projects to help answer this question, starting with the symptom of face processing difficulties:
Moving forward, we have already started to investigate additional symptoms and are happy to collaborate with researchers interested in applying lesion network mapping to their data.
This project utilizes publicly available brain connectivity data, currently from more than 20,000 children and adolescents, into single consistently processed and quality-controlled datasets that can be used by medical researchers as a ‘gold-standard’ reference of typical development.
(Draft List, refer to Google Scholar)
Learn to use Markdown to make ‘modern’ text files (10 minutes):
The ‘command line’ and writing shell scripts (~1 hour each):
An introduction to pandas (an alternative to excel):
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Jupyter Notebooks, a great way to organize your python, matlab, and R code:
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