Diagnostic labels for neurodevelopmental conditions like autism try to explain what is common between individuals at the level of observable behaviour. While this level of explanation tries to maximize consensus amongst clinicians about what can be observed in behaviour, it also potentially masks important differences between individuals possessing the same label. These differences between individuals can also be expressed at every level one looks at – from the genome, through neural systems, the phenotype, and all the way up to respond to treatment and later life outcome. It may be that these multi-level differences between individuals are the most important features for understanding causes and mechanisms driving the emergence of such conditions. These differences may also be important clues that help us develop interventions and clinical practice that better maximizes the outcomes and potential of such individuals. The lab’s focus is better to understand what drives multi-level heterogeneity within and between individuals affected by neurodevelopmental conditions such as autism and to use that more precise understanding to better impact the lives of patients and their families.
IIT Publications List
The latest publications
Fan X.-R., Wang Y.-S., Chang D., Yang N., Rong M.-J., Zhang Z., He Y., Hou X., Zhou Q., Gong Z.-Q., et al.
A longitudinal resource for population neuroscience of school-age children and adolescents in China
Scientific data, vol. 10, (no. 1)
Lehmann K., Bolis D., Friston K.J., Schilbach L., Ramstead M.J.D., Kanske P.
An Active-Inference Approach to Second-Person Neuroscience
Perspectives on Psychological Science
Xiao Y., Wen T.H., Kupis L., Eyler L.T., Taluja V., Troxel J., Goel D., Lombardo M.V., Pierce K., Courchesne E.
Atypical functional connectivity of temporal cortex with precuneus and visual regions may be an early-age signature of ASD
Molecular Autism, vol. 14, (no. 1)