Area of research
Cognitive Neuroscience · Radiology, Nuclear Medicine and Imaging
Research interest
Research interests include Autism Spectrum Disorder Research, Functional Brain Connectivity Studies, Advanced Neuroimaging Techniques and Applications, and Alzheimer's disease research and treatments.
Locus coeruleus tonic upregulation increases selectivity to inconspicuous auditory information in autistic compared to non-autistic individuals: a combined pupillometry and electroencephalography study
Patterns of Brain Maturation in Autism and Their Molecular Associations
The neuroanatomical substrates of autism and ADHD and their link to putative genomic underpinnings
Sensory salience processing moderates attenuated gazes on faces in autism spectrum disorder: a case–control study
Resting state EEG power spectrum and functional connectivity in autism: a cross-sectional analysis
Imbalanced social-communicative and restricted repetitive behavior subtypes of autism spectrum disorder exhibit different neural circuitry
Atypical Brain Asymmetry in Autism—A Candidate for Clinically Meaningful Stratification
Dissecting the phenotypic heterogeneity in sensory features in autism spectrum disorder: a factor mixture modelling approach
Temporal Profiles of Social Attention Are Different Across Development in Autistic and Neurotypical People
Altered Connectivity Between Cerebellum, Visual, and Sensory-Motor Networks in Autism Spectrum Disorder: Results from the EU-AIMS Longitudinal European Autism Project
The EU-AIMS Longitudinal European Autism Project (LEAP): design and methodologies to identify and validate stratification biomarkers for autism spectrum disorders
The EU-AIMS Longitudinal European Autism Project (LEAP): clinical characterisation
Voxel-based morphometry analysis reveals frontal brain differences in participants with ADHD and their unaffected siblings
Identification and validation of biomarkers for autism spectrum disorders
Diffusion-MRI in neurodegenerative disorders
Reduced Hippocampal Volume in Healthy Young ApoE4 Carriers: An MRI Study
Using Support Vector Machines with Multiple Indices of Diffusion for Automated Classification of Mild Cognitive Impairment