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Jie Lisa Ji

Researcher at Yale University

Publications -  47
Citations -  2040

Jie Lisa Ji is an academic researcher from Yale University. The author has contributed to research in topics: Medicine & Computer science. The author has an hindex of 14, co-authored 33 publications receiving 1055 citations. Previous affiliations of Jie Lisa Ji include Duke University.

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Hierarchy of transcriptomic specialization across human cortex captured by structural neuroimaging topography.

TL;DR: In this paper, a noninvasive neuroimaging measure, T1w/T2w mapping, was used to identify a hierarchical axis linking cortical transcription and anatomy, along which gradients of micro-scale properties may contribute to the macroscale specialization of cortical function.
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Mapping the human brain's cortical-subcortical functional network organization

TL;DR: This whole‐brain network atlas – released as an open resource for the neuroscience community – places all brain structures across both cortex and subcortex into a single large‐scale functional framework, with the potential to facilitate a variety of studies investigating large-scale functional networks in health and disease.
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Hierarchical Heterogeneity across Human Cortex Shapes Large-Scale Neural Dynamics

TL;DR: A large-scale dynamical circuit model of human cortex that incorporates heterogeneity of local synaptic strengths that substantially improves the model fit to functional MRI (fMRI)-measured resting-state functional connectivity and captures sensory-association organization of multiple fMRI features is developed.
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Changes in global and thalamic brain connectivity in LSD-induced altered states of consciousness are attributable to the 5-HT2A receptor.

TL;DR: The critical role of 5-HT2A in LSD’s mechanism, which informs its neurobiology and guides rational development of psychedelic-based therapeutics is pinched, which strongly implicate the 5- HT2A receptor in LSD's neuropharmacology.
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Searching for Cross-Diagnostic Convergence: Neural Mechanisms Governing Excitation and Inhibition Balance in Schizophrenia and Autism Spectrum Disorders

TL;DR: Light is shed on shared and divergent neuroimaging effects across disorders with the goal of informing future research examining the mechanisms underlying the E/I imbalance hypothesis across neurodevelopmental disorders.