Michael V. Lombardo
Istituto Italiano di Tecnologia
Developmental psychologyDefault mode networkPsychologyNeuroscienceCognitionCognitive psychologyMentalizationAutismAsperger syndromeNeurotypicalAutism spectrum disorderSex characteristicsFunctional magnetic resonance imagingTheory of mindEmpathyWhite matterPopulationComputer scienceAudiologyNeuroimagingResting state fMRIClinical psychologyBiology
Publications 128
#1Michael V. Lombardo (IIT: Istituto Italiano di Tecnologia)H-Index: 55
#1Michael V. Lombardo (IIT: Istituto Italiano di Tecnologia)H-Index: 55
#2Lisa T. Eyler (UCSD: University of California, San Diego)H-Index: 47
Last. Eric Courchesne (UCSD: University of California, San Diego)H-Index: 116
view all 16 authors...
Cortical regionalization develops via genomic patterning along anterior-posterior (A-P) and dorsal-ventral (D-V) gradients. Here we find that normative A-P and D-V genomic patterning of cortical surface area (SA) and thickness (CT) present in typically developing and autistic toddlers with good early language outcome, is absent in autistic toddlers with poor early language outcome. Autistic toddlers with poor early language outcome are instead specifically characterized by secondary and independ...
1 CitationsSource
#1Natasha Bertelsen (IIT: Istituto Italiano di Tecnologia)H-Index: 1
#2Isotta Landi (IIT: Istituto Italiano di Tecnologia)
Last. Michael V. Lombardo (University of Cambridge)H-Index: 55
view all 35 authors...
Social-communication (SC) and restricted repetitive behaviors (RRB) are autism diagnostic symptom domains. SC and RRB severity can markedly differ within and between individuals and may be underpinned by different neural circuitry and genetic mechanisms. Modeling SC-RRB balance could help identify how neural circuitry and genetic mechanisms map onto such phenotypic heterogeneity. Here, we developed a phenotypic stratification model that makes highly accurate (97–99%) out-of-sample SC = RRB, SC >...
#1Emily Olafson (Cornell University)H-Index: 1
#1Emily Olafson (Douglas Mental Health University Institute)
Last. M. Mallar Chakravarty (Douglas Mental Health University Institute)H-Index: 65
view all 26 authors...
Autism spectrum disorder (ASD) is associated with atypical brain development. However, the phenotype of regionally specific increased cortical thickness observed in ASD may be driven by several independent biological processes that influence the gray/white matter boundary, such as synaptic pruning, myelination, or atypical migration. Here, we propose to use the boundary sharpness coefficient (BSC), a proxy for alterations in microstructure at the cortical gray/white matter boundary, to investiga...
#1Jason Stretton (Cognition and Brain Sciences Unit)H-Index: 23
#1Jason StrettonH-Index: 3
Last. Tim DalgleishH-Index: 87
view all 8 authors...
Introduction Understanding the emotional responsivity style and neurocognitive profiles of depression-related processes in at-risk youth may be helpful in revealing those most likely to develop affective disorders. However, the multiplicity of biopsychosocial risk factors makes it difficult to disentangle unique and combined effects at a neurobiological level. Methods In a population-derived sample of 56 older adolescents (aged 17-20), we adopted partial least squares regression and correlation ...
#1Speyer LgH-Index: 3
Last. Michelle LucianoH-Index: 62
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#1Caroline Mann (Goethe University Frankfurt)H-Index: 3
#2Tim Schäfer (Goethe University Frankfurt)H-Index: 4
Last. Christine Ecker (Goethe University Frankfurt)H-Index: 43
view all 13 authors...
Autism spectrum disorder (ASD) is a complex neurodevelopmental disorder that is accompanied by neurodevelopmental differences in regional cortical volume (CV), and a potential layer-specific pathology. Conventional measures of CV, however, do not indicate how volume is distributed across cortical layers. In a sample of 92 typically developing (TD) controls and 92 adult individuals with ASD (aged 18-52 years), we examined volumetric gradients by quantifying the degree to which CV is weighted from...
#1Anke Bletsch (Goethe University Frankfurt)H-Index: 3
#2Tim Schäfer (Goethe University Frankfurt)H-Index: 4
Last. Crispian WilsonH-Index: 2
view all 39 authors...
Autism spectrum disorder (ASD) is a highly complex neurodevelopmental condition that is accompanied by neuroanatomical differences on the macroscopic and microscopic level. Findings from histological, genetic, and more recently in vivo neuroimaging studies converge in suggesting that neuroanatomical abnormalities, specifically around the gray-white matter (GWM) boundary, represent a crucial feature of ASD. However, no research has yet characterized the GWM boundary in ASD based on measures of di...
#2Michael V. LombardoH-Index: 55
Last. Florina UzefovskyH-Index: 20
view all 4 authors...
#1Michael V. Lombardo (IIT: Istituto Italiano di Tecnologia)H-Index: 55
#2Elena Maria Busuoli (IIT: Istituto Italiano di Tecnologia)
Last. Karen Pierce (UCSD: University of California, San Diego)H-Index: 51
view all 14 authors...
Early detection and intervention are believed to be key to facilitating better outcomes in children with autism, yet the impact of age at treatment start on outcome is poorly understood. While clinical traits such as language ability have been shown to predict treatment outcome, whether or not and how information at the genomic level can predict treatment outcome is unknown. Leveraging a cohort of toddlers with autism who all received the same standardized intervention at a very young age and pr...