Alex Fornito
connectome | brain imaging | complex networks | graph theory | MRI | cognitive neuroscience
Last synced from Twitter 11m ago
Uncovering the Transcriptional Correlates of Hub Connectivity in Neural Networks
Connections in nervous systems are disproportionately concentrated on a small subset of neural elements that act asnetwork hubs. Hubs have been found across different of species and scales ranging from C.elegans to mouse, rat, cat,macaque and human,...
Alex Fornito
Our review on transcriptional correlates of neural hubs by @AurinaArn & @bendfulcher now out as part of a Special Issue on neuroscience down under: bit.ly/2O1MldV pic.twitter.com/OQjf1qyOw6
21h
Priority index for human genetics and drug discovery
Although human genetics can help identify new drug targets, the best way to prioritize genes as therapeutic targets is uncertain. A new study describes a framework to prioritize potential targets by integrating genome-wide association data with...
An information-theoretic, all-scales approach to comparing networks
As network research becomes more sophisticated, it is more common than ever for researchers to find themselves not studying a single network but needing to analyze sets of networks. An important task when working with sets of networks is network...
Joint modelling of diffusion MRI and microscopy
The combination of diffusion MRI with microscopy provides unique opportunities to study microstructural features of tissue, particularly when acquired…
Network structural dependency in the human connectome across the life-span
Network structural dependency in the human connectome across the life-span
The Evolutionary History of Common Genetic Variants Influencing Human Cortical Surface Area
Structural brain changes along the lineage that led to modern Homo sapiens have contributed to our unique cognitive and social abilities. However, the evolutionarily relevant molecular variants impacting key aspects of neuroanatomy are largely...
Network analysis of whole-brain fMRI dynamics: A new framework based on dynamic communicability
Neuroimaging techniques such as MRI have been widely used to explore the associations between brain areas. Structural connectivity (SC) captures the a…
Columnar connectome: towards a mathematics of brain function
Columnar connectome: towards a mathematics of brain function
Brain Heterogeneity in Schizophrenia and Polygenic Risk
This case-control study and polygenic risk analysis compares the brain structural variability between individuals with schizophrenia and healthy controls and tests whether respective variability reflects the polygenic risk for schizophrenia in an...
A computational knowledge engine for human neuroscience
Functional neuroimaging has been a mainstay of human neuroscience for the past 25 years. The goal for this research has largely been to understand how activity across brain structures relates to mental constructs and computations. However,...
Quantifying individual differences in brain morphometry underlying symptom severity in Autism Spectrum Disorders
Quantifying individual differences in brain morphometry underlying symptom severity in Autism Spectrum Disorders
Towards algorithmic analytics for large-scale datasets
Classical statistical analysis in many empirical sciences has lagged behind modern trends in analytics for large-scale datasets. The authors discuss the influence of more variables, larger sample sizes, open data sources for analysis and assessment,...
Better brain scans by correcting for movement
Brain scans are powerful tools for diagnosing disease, monitoring treatment, and conducting basic biological research. But slight head movements can impair i...
Lesion Studies in Contemporary Neuroscience
Studies of humans with focal brain damage and non-human animals with experimentally
induced brain lesions have provided pivotal insights into the neural basis of behavior.
As the repertoire of neural manipulation and recording techniques expands,...
Emergence of power laws in noncritical neuronal systems
Experimental and computational studies provide compelling evidence that neuronal systems are characterized by power-law distributions of neuronal avalanche sizes. This fact is interpreted as an indication that these systems are operating near...
Inscripciones/Registration: Conectoma Sur/Southern Connectome
Inscripciones/Registration Postulación a beca de viaje/Travel grant application Más información pronto/More information coming soon The second series in Connectomic workshops organized by Po…
Reconciling Dimensional and Categorical Models of Autism Heterogeneity: a Brain Connectomics & Behavioral Study
Background: Heterogeneity in autism spectrum disorder (ASD) has hindered the development of biomarkers, thus motivating subtyping efforts. Most subtyping studies divide ASD individuals into non-overlapping (categorical) subgroups. However,...