Lucina Q. Uddin on Muck Rack

Lucina Q. Uddin

Los Angeles
As seen in: Color Research & Application, Nature, Frontiers, JAMA (The Journal of the American Medical Association), JAMA Psychiatry, Cell Press, Cell Reports, The Scientist, Spectrum, The Transmitter and
Edgy cognitive neuroscientist @ucla (she/her) 🇧🇩🧠🏀 Also at @lucinauddin.bsky.social
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Articles

Convergent and divergent brain–cognition development in early adolescence

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By Yapei Xie, Shaoshi Zhang, Csaba Orban, Ru Kong, Dorothea L. Floris, Xi-Nian Zuo, Elvisha Dhamala, Avram J. Holmes, Lucina Q. Uddin, Thomas Nichols, Adriana Di Martino, B. Yeo
| Nature Verified
Abstract How functional brain networks and cognition co-evolve during adolescent development remains poorly understood. Using baseline and Year 2 data from 2949 individuals in the Adolescent Brain Cognitive Development Study, we trained kernel ridge regression models to predict cognitive ability from resting-state functional connectivity. We find that baseline functional connectivity more strongly predicts future cognitive ability than baseline cognitive ability.
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Securing the academic pipeline amid uncertain U.S. funding climate

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By Maria Corte, Lucina Q. Uddin, Katie Moisse
| The Transmitter Verified
Director, Brain Connectivity and Cognition Laboratory, University of California, Los Angeles Contributing editor, The Transmitter Share this article: Tags: Craft and careers, ECRs, Education, Funding To say that the current funding climate in academia is uncertain would be an understatement.
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Task and resting state fMRI modelling of brain-behavior relationships in developmental cohorts

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By Lucina Q. Uddin, Biobehavioral Science, Hugh Garavan
| Biological Psychiatry Verified
Main Text Controversies and challenges in modelling brain-behavior relationships Brain-behavior association studies involve exploring relationships between a metric derived from fMRI data (e.g. magnitude of brain activation during a task, or functional connectivity of a region-of-interest in the resting state) and a metric derived from cognitive task performance or clinical phenotype (e.g. performance on an attention task, or severity of depression symptoms).
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