Labs

Cerebellar Cognition and Learning Laboratory

About the Lab

We investigate the role of the human cerebellum in cognition and cognitive development. Traditionally, the cerebellum has been considered solely a motor structure, but recent anatomical, clinical and neuroimaging data have advanced our knowledge of human cerebellar function. We study the functional layout of the cerebellum, the type of processing that it performs and the impact of cerebellar dysfunction in clinical and developmental conditions. We use multiple methods, including neuroimaging, neuromodulation, lesion-symptom mapping and behavioral studies.

Our ultimate goal is to understand the contribution of the cerebellum to cognition in both typical development and in clinical and developmental conditions, and to translate this knowledge into clinical and educational applications.


Funded Projects

Featured Publications

  • Cerebellar tDCS modulates cortico-cortical functional networks in a regionally specific manner

    Dust J, Rice LC, Lee MM, Tegiacchi RF and Stoodley CJ Journal of Neuroscience 46:e0499252025 2026

  • Altered cerebellar connectivity in autism spectrum disorders and cerebellar-mediated rescue of autism-related behaviors in mice

    Stoodley CJ, D’Mello AM, Ellegood J, Jakkamsetti V, Liu P, Nebel MB, Gibson J, Kelly E, Meng F, Cano C, Pascual J, Mostofsky SH, Lerch JP and Tsai PT Nature Neuroscience 20:1744-1751 2017

  • The developmental relationship between cerebellar grey matter and cognitive performance in a pediatric population

    Moore DM, D’Mello AM, McGrath LM and Stoodley CJ Developmental Cognitive Neuroscience 24:1-11 2017

  • Cerebellar grey matter and lobular measures correlate with core autism symptoms

    D’Mello AM, Crocetti D, Mostofsky SH and Stoodley CJ Neuroimage: Clinical 7:631-639 2015

  • Functional topography of the cerebellum for motor and cognitive tasks: An fMRI study

    Stoodley CJ, Valera EM and Schmahmann JD Neuroimage 59:1560-1570 2012

  • Functional topography in the human cerebellum: A meta-analysis of neuroimaging studies

    Stoodley CJ & Schmahmann JD Neuroimage 44:489-501 2009