Gaia Novarino

The paper introduces DeepTaskGen, a deep learning method that generates synthetic task-based contrast maps from resting-state fMRI data, outperforming benchmarks and enabling biomarker development for cognitive tasks.

This paper develops LICONN, a light-microscopy based method for synapse-level connectomic reconstruction of brain tissue using hydrogel expansion and deep learning.

This paper introduces a method for saturated reconstruction of living brain tissue using advanced imaging and deep learning to achieve high-resolution, volumetric analysis of neural structures over time.

The paper investigates how changes in large neutral amino acid metabolism during development affect neuronal excitability and survival, finding that Slc7a5 deletion disrupts lipid metabolism and leads to long-term circuit dysfunction.

The paper identifies a shared visual perception and place avoidance deficit in ASD models, linked to Kv1 channel hypoexcitability in the dPAG, and shows pharmacological rescue of these deficits.

The paper introduces CATS, a method to map brain tissue architecture across scales, demonstrating its application to hippocampal mossy fiber circuitry.

This study shows that Cul3 mutations in mice cause ASD-like behaviors and neuronal migration defects during brain development, but not in adults.

This study shows that CHD8 haploinsufficiency disrupts human cortical development by altering neuron generation timing, leading to macrocephaly-like organoid enlargement and cell-type specific molecular defects.