Alberto Llera

Integrating brain structure and function for the neurobiology and genetics of language

This study integrates brain structure and function to identify genetic loci associated with language-related brain components using UK Biobank data.

Independent Filter Analysis for Group Discrimination in fMRI

This paper introduces Independent Filter Analysis (IFA), a supervised method for group discrimination in fMRI that outperforms traditional ICA in detecting group differences.

The Neural Architecture of Dream Recall Frequency: Insights from Interindividual Variations in Brain Structure and Function

This study investigates the neural correlates of dream recall frequency using multimodal neuroimaging in 258 individuals, finding associations between DRF and brain structure and function.

Linking functional and structural brain organisation with behaviour in healthy adults

The paper uses multimodal MRI data to explore brain-behavior relationships, finding some components linked to intoxication and working memory but no significant shared variance between structural and functional organisation.

Fine-grained topographic organization within somatosensory cortex during resting-state and emotional face-matching task and its association with ASD traits

The paper maps functional connectivity patterns in the somatosensory cortex during rest and emotional tasks in ASD and neurotypical individuals, linking them to adaptive functioning skills.

Patterns of connectome variability in autism across five functional activation tasks. Findings from the LEAP project

The paper identifies patterns of neural variability in autism using fMRI across tasks, finding greater global connectivity deviations and similar spatial patterns in autistic individuals compared to controls.

Multimodal lesion network mapping to predict sensorimotor behavior in stroke patients

This paper extends lesion network mapping to a multimodal approach using functional and structural connectivity maps to predict sensorimotor behavior in stroke patients.

Autism is associated with inter-individual variations of gray and white matter morphology

The paper identifies a multimodal brain pattern associated with autism by integrating gray and white matter morphology data and linking it to clinical symptoms.

Phenotypic and genetic associations of quantitative magnetic susceptibility in UK Biobank brain imaging

The paper develops a QSM pipeline to analyze brain magnetic susceptibility in UK Biobank data, finding associations with iron, disease, and genetic variants.

Can fMRI functional connectivity index dynamic neural communication?

This paper investigates whether fMRI functional connectivity reflects dynamic neural communication by developing and applying PCCA to show context-dependent, cognitively relevant changes in connectivity trajectories.

Multimodal brain features at preschool age and the relationship with pre-reading measures one year later: an exploratory study

This study examines how brain features in preschool children relate to pre-reading skills one year later using multimodal imaging and behavioral assessments.

Explanatory latent representation of heterogeneous spatial maps of task-fMRI in large-scale datasets

The paper learns interpretable latent representations of task-fMRI data from large-scale datasets, capturing demographic and behavioral variability through a three-dimensional autoencoder and normative modeling.

Behavioural relevance of spontaneous, transient brain network interactions in fMRI

The paper develops methods to assess time-varying functional connectivity in fMRI and shows it explains behavioural traits not captured by structural data or time-averaged connectivity.

Multivariate associative patterns between the gut microbiota and large-scale brain network connectivity

The paper uses LICA to identify multivariate associations between gut microbiota and brain network connectivity in healthy females, finding specific microbial genera linked to brain network strength.

Gray matter covariations and core symptoms of autism. The EU-AIMS Longitudinal European Autism Project

The paper identifies structural covariation alterations in autism using VBM and links these patterns to core autism symptoms through canonical correlation analysis.

Spatial Patterns for Discriminative Estimation (SPADE)

The paper introduces a supervised dimensionality reduction model for fMRI data to discriminate between tasks and demonstrates its effectiveness using the Human Connectome Project dataset.

Inter-individual differences in human brain structure and morphometry link to population variation in demographics and behavior

The paper links inter-individual differences in human brain structure to demographic and behavioral variations using structural MRI data from a large cohort.

And the best task is ...? Using Task potency to infer task specificity

The paper introduces a framework called task potency to measure task-specific functional connectivity modulations and applies it to compare three cognitive tasks.