Yasser Iturria‐Medina

Machine-learning MRI stratification of genetic frontotemporal dementia for clinical trial enrichment

This paper uses machine learning to stratify genetic frontotemporal dementia patients into subtypes and provides progression scores that improve trial enrichment efficiency.

Individual-Level Associations of Cognition and Personality With Adolescent Mental Health Vary Across Brain and Environmental Profiles

The paper examines how cognition and personality relate to adolescent mental health, showing these associations vary with brain, environmental, and pubertal factors.

MRI-based classifier to identify close-to-onset cases in C9orf72 genetic frontotemporal dementia

The paper develops an MRI-based machine learning classifier to identify presymptomatic C9orf72 carriers at high risk of disease onset within two years.

Molecular and neuropathological determinants of neuronal dysfunction in Alzheimer's disease

This study identifies molecular predictors of neuronal dysfunction in Alzheimer's disease by analyzing E/I imbalance and its relationship with neuropathology.

White Matter Hyperintensities Precede other Biomarkers in GRN Frontotemporal Dementia

The paper shows that white matter hyperintensities (WMHs) appear before other biomarkers in GRN-related frontotemporal dementia, suggesting they are early indicators of disease progression.

Characterizing Post-Mortem Brain Molecular Taxonomy of Cognitive Resilience and Translating it to Living Humans

The paper defines cognitive resilience as differential cognitive decline rates after adjusting for neuropathologies, develops a framework to quantify it using molecular signatures from post-mortem brain data, and translates these findings to living individuals.

Whole-Brain Cell-Cell Interaction Axes Explaining Tissue Vulnerability Across the Neurodegenerative Spectrum

The paper maps whole-brain cell-cell interactions across neurodegenerative diseases and identifies communication axes linked to regional brain vulnerability.

Patterns of Structural Disconnection Driving Proprioceptive Deficits After Stroke

This study identifies white matter disconnection patterns linked to proprioceptive deficits after stroke using CLSM and kinematic assessments in chronic stroke survivors.

Brain Multi-Omic Subtypes of Neuroticism Reveal Molecular Signatures linked to Alzheimer's Disease

The paper identifies three brain multi-omic molecular subtypes of neuroticism linked to Alzheimer's disease traits, with subtype N1 showing the strongest associations.

Translating the Post-Mortem Brain Multi-Omics Molecular Taxonomy of Alzheimer's Dementia to Living Humans

This study translates post-mortem brain multi-omics AD dementia subtypes into blood, MRI, and psychological markers in living individuals.

Sex and APOE4-specific links between cardiometabolic risk factors and white matter alterations in individuals with a family history of Alzheimer's disease

The paper examines sex-specific and APOE4-related associations between cardiometabolic risk factors and white matter microstructure in individuals with a family history of Alzheimer's disease.

Multi-omic subtypes of Alzheimer's dementia are differentially associated with psychological traits

The paper examines associations between three multi-omic AD subtypes and four psychological traits, finding differential links between subtypes and traits.

Cell type transcriptomics reveal shared genetic mechanisms in Alzheimer's and Parkinson's disease

The paper identifies shared molecular mechanisms between Alzheimer's and Parkinson's disease by analyzing gene co-expression at sub-cell-type resolution using single-nucleus datasets.

Beyond brain size: disentangling the effect of sex and brain size on brain morphometry and cognitive functioning

This study disentangles the effects of sex and head size on brain morphometry and cognition using UK Biobank data, showing head size significantly influences sex differences.

Evaluating permutation-based inference for partial least squares analysis of neuroimaging data

This study evaluates permutation-based inference in PLS analysis of neuroimaging data, finding that Procrustes rotation affects significance and that complementary metrics improve LV assessment.

Association between Brain Structure and Cognitive Ability during Adolescence: Insights from a Comprehensive Large-Scale Analysis of 9 to 15 Year-Olds

This study examines brain structure-cognition associations in adolescents using a large dataset, finding that frontal, temporal, and occipital regions show strong age-related variability in these links.

Joint and Distinct Cognitive-Motor Associations with Multivariate White Matter Microstructure and Connectivity

The paper examines the relationship between white matter microstructure and cognitive-motor behavior using multivariate analysis, revealing distinct and overlapping associations across brain regions.

MVComp toolbox: MultiVariate Comparisons of brain MRI features accounting for common information across metrics

The paper introduces MVComp, a tool for computing Mahalanobis distance in brain MRI data to assess deviations from reference groups and provide insights into white matter microstructure.

Distinctive Whole-brain Cell-Types Predict Tissue Damage Patterns in Thirteen Neurodegenerative Conditions

The paper shows how the distribution of non-neuronal cell types in the brain predicts tissue damage patterns in thirteen neurodegenerative conditions.

Improving fMRI-based Autism Spectrum Disorder Classification with Random Walks-informed Feature Extraction and Selection

This paper improves ASD classification using random walks-informed feature extraction and selection, achieving 76.54% accuracy with SVM.

Transcriptomic signatures of Abeta- and tau-induced neuronal dysfunction reveal inflammatory processes at the core of Alzheimer's disease pathophysiology

The paper uses computational models to identify transcriptomic signatures linked to Aβ and tau-induced neuronal dysfunction in Alzheimer's disease, highlighting immune and inflammatory processes.

Revealing the combined roles of Aβ and tau in Alzheimer's disease via a pathophysiological activity decoder

The paper develops a personalized brain activity model integrating functional MRI, Aβ, and tau-PET to reveal synergistic effects of Aβ and tau on cognitive impairment and neuronal excitability in Alzheimer's disease.

Social isolation is linked to classical risk factors of Alzheimer's disease-related dementias

The paper examines the link between social isolation and Alzheimer's disease-related dementias risk using large population cohorts.

Resolving inter-regional communication capacity in the human connectome

The paper develops a method to analyze inter-regional communication in the brain connectome and finds that communication pathways align with functional systems and higher-order cognitive functions.

Single-nucleus RNA velocity reveals synaptic and cell-cycle dysregulations missed by gene expression in neuropathologic Alzheimer disease

The paper uses RNA velocity to identify synaptic and cell-cycle dysregulations in Alzheimer's disease that are not detected by gene expression alone.

Differentiating amyloid beta spread in autosomal dominant and sporadic Alzheimer's disease

This study uses an epidemic spreading model to analyze A{beta} deposition patterns in sAD and ADAD, finding similar but distinct spreading patterns in some ADAD patients.

Impact of long- and short-range fiber depletion on the cognitive deficits of fronto-temporal dementia

This study investigates how long- and short-range white matter fiber depletion contributes to cognitive deficits in fronto-temporal dementia using diffusion MRI and voxel-based morphometry.

Creation of an Open Science Dataset from PREVENT-AD, a Longitudinal Cohort Study of Pre-symptomatic Alzheimer's Disease.

Detecting brain network communities: considering the role of information flow and its different temporal scales

This paper introduces a method to detect brain network communities at different temporal scales by analyzing information flow through oscillatory modes and clustering nodes based on their co-occurrence.

Spread of pathological tau proteins through communicating neurons in human Alzheimer’s disease

This study uses an epidemic spreading model to show that tau spreads through neuronal connections in Alzheimer's disease, with beta-amyloid accelerating this process in some brain regions.