[HTML][HTML] Updating and characterizing neuroanatomical markers in high-risk subjects, recently diagnosed and chronic patients with schizophrenia: A revised coordinate …

D Liloia, C Brasso, F Cauda, L Mancuso, A Nani… - Neuroscience & …, 2021 - Elsevier
Characterizing neuroanatomical markers of different stages of schizophrenia (SZ) to assess
pathophysiological models of how the disorder develops is an important target for the …

Revealing the selectivity of neuroanatomical alteration in autism spectrum disorder via reverse inference

D Liloia, F Cauda, LQ Uddin, J Manuello… - Biological Psychiatry …, 2023 - Elsevier
Background Although neuroimaging research has identified atypical neuroanatomical
substrates in individuals with autism spectrum disorder (ASD), it is at present unclear …

Brain pathology recapitulates physiology: A network meta-analysis

TJ Vanasse, PT Fox, PM Fox, F Cauda, T Costa… - Communications …, 2021 - nature.com
Network architecture is a brain-organizational motif present across spatial scales from cell
assemblies to distributed systems. Structural pathology in some neurodegenerative …

BACON: A tool for reverse inference in brain activation and alteration

T Costa, J Manuello, M Ferraro, D Liloia, A Nani… - 2021 - Wiley Online Library
Over the past decades, powerful MRI‐based methods have been developed, which yield
both voxel‐based maps of the brain activity and anatomical variation related to different …

[HTML][HTML] The pathoconnectivity network analysis of the insular cortex: A morphometric fingerprinting

A Nani, J Manuello, L Mancuso, D Liloia, T Costa… - NeuroImage, 2021 - Elsevier
Brain disorders tend to impact on many different regions in a typical way: alterations do not
spread randomly; rather, they seem to follow specific patterns of propagation that show a …

Finding specificity in structural brain alterations through Bayesian reverse inference

F Cauda, A Nani, D Liloia, J Manuello… - Human brain …, 2020 - Wiley Online Library
In the field of neuroimaging reverse inferences can lead us to suppose the involvement of
cognitive processes from certain patterns of brain activity. However, the same reasoning …

[HTML][HTML] A meta-analytic approach to mapping co-occurrent grey matter volume increases and decreases in psychiatric disorders

L Mancuso, A Fornito, T Costa, L Ficco, D Liloia… - Neuroimage, 2020 - Elsevier
Numerous studies have investigated grey matter (GM) volume changes in diverse patient
groups. Reports of disorder-related GM reductions are common in such work, but many …

[HTML][HTML] Gray matter abnormalities follow non-random patterns of co-alteration in autism: Meta-connectomic evidence

D Liloia, L Mancuso, LQ Uddin, T Costa, A Nani… - NeuroImage: Clinical, 2021 - Elsevier
Background Autism spectrum disorder (ASD) is a neurodevelopmental disorder
characterized by atypical brain anatomy and connectivity. Graph-theoretical methods have …

Metabolic assessment of cerebral palsy with normal clinical MRI using 18F-FDG PET imaging: A preliminary report

R Wu, Y Gao, H Zhang, Y Chen, F Tan, D Zeng… - Frontiers in …, 2022 - frontiersin.org
To explore the cerebral metabolic patterns of cerebral palsy (CP) patients without structural
abnormalities by brain magnetic resonance imaging (MRI) scans, we evaluated 18F-fluoro …

Co-alteration network architecture of major depressive disorder: A multi-modal neuroimaging assessment of large-scale disease effects

JP Gray, J Manuello, AF Alexander-Bloch, C Leonardo… - Neuroinformatics, 2023 - Springer
Major depressive disorder (MDD) exhibits diverse symptomology and neuroimaging studies
report widespread disruption of key brain areas. Numerous theories underpinning the …