Prefrontal connectomics: from anatomy to human imaging

SN Haber, H Liu, J Seidlitz, E Bullmore - Neuropsychopharmacology, 2022 - nature.com
The fundamental importance of prefrontal cortical connectivity to information processing and,
therefore, disorders of cognition, emotion, and behavior has been recognized for decades …

Deep fusion of brain structure-function in mild cognitive impairment

L Zhang, L Wang, J Gao, SL Risacher, J Yan, G Li… - Medical image …, 2021 - Elsevier
abstract Multimodal fusion of different types of neural image data provides an irreplaceable
opportunity to take advantages of complementary cross-modal information that may only …

An enhanced multi-modal brain graph network for classifying neuropsychiatric disorders

L Liu, YP Wang, Y Wang, P Zhang, S ** 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 …