Explanipedia

Patient-specific functional brain architecture explains cortical patterns of tau PET in Alzheimer's disease Open

Hamid Behjat, Jacob W Vogel, Olof Strandberg, Nicola Spotorno, Jonathan Rittmo , et al. · 2025

The spatial distribution of tau pathology, the core driver of neurodegeneration in Alzheimer's disease (AD), varies markedly across individuals. While tau is thought to spread along brain networks, the role of inter-individual variability …

A Physical-Spatial Analysis of the Architecture of Historical Shia and Sunni Mosques in West Azerbaijan Province Open

Mozaffar Abbaszadeh, Somayyeh Ghadimzadeh, Hamid Behjat · 2025

Hemispheric asymmetry of tau pathology is related to asymmetric amyloid deposition in Alzheimer’s Disease Open

Toomas Erik Anijärv, Rik Ossenkoppele, Ruben Smith, Alexa Pichet Binette, Lyduine E. Collij , et al. · 2025

The distribution of tau pathology in Alzheimer’s disease (AD) shows remarkable inter-individual heterogeneity, including hemispheric asymmetry. However, the factors driving this asymmetry remain poorly understood. Here we explore whether t…

A Biological-Systems-Based Analyses Using Proteomic and Metabolic Network Inference Reveals Mechanistic Insights into Hepatic Lipid Accumulation: An IMI-DIRECT Study Open

Natalie N. Atabaki, Daniel Coral, Hugo Pomares-Millan, K. Smith, Hamid Behjat , et al. · 2025

Objective To delineate organ-specific and systemic drivers of metabolic dysfunction-associated steatotic liver disease (MASLD), we applied integrative causal inference across clinical, imaging, and proteomic domains in individuals with and…

Age and Alzheimer’s disease affect functional connectivity along separate axes of functional brain organization Open

Jonathan Rittmo, Nicolai Franzmeier, Olof Strandberg, Léa Chauveau, Theodore D. Satterthwaite , et al. · 2025

Aging and Alzheimer’s disease (AD) are associated with alterations in functional connectivity (FC), yet their spatial and temporal characteristics remain debated. Whole-cortex functional gradients, which organize regions along axes of func…

Brain network dynamics determine tau presence while regional vulnerability governs tau load in Alzheimer’s disease Open

Yu Xiao, Nicola Spotorno, Lijun An, Vincent Bazinet, Justine Y. Hansen , et al. · 2025

In Alzheimer’s disease (AD), tau pathology accumulates gradually throughout the brain, with clinical decline reflecting tau progression. A comprehensive understanding of, first, whether tau propagation is predominantly governed by connecto…

Small-world scale-free brain networks from EEG with application to motor imagery decoding and brain fingerprinting Open

Mohammad Davood Khalili, Vahid Abootalebi, Hamid Saeedi‐Sourck, Antonio Santoro, Hamid Behjat · 2025

Developing individualized spatial models that capture the complex dynamics of multi-electrode EEG data is essential for accurately decoding global neural activity. A widely used approach is network modeling, where electrodes are represente…

Hemispheric Asymmetry of Tau Pathology is Related to Asymmetric Amyloid Deposition in Alzheimer’s Disease Open

Toomas Erik Anijärv, Rik Ossenkoppele, Ruben Smith, Alexa Pichet Binette, Lyduine E. Collij , et al. · 2025

The distribution of tau pathology in Alzheimer’s disease (AD) shows remarkable inter-individual heterogeneity, including hemispheric asymmetry. However, the factors driving this asymmetry remain poorly understood. We explored whether tau a…

Graphs Constructed from Instantaneous Amplitude and Phase of Electroencephalogram Successfully Differentiate Motor Imagery Tasks Open

Maliheh Miri, Vahid Abootalebi, Hamid Saeedi‐Sourck, Dimitri Van De Ville, Hamid Behjat · 2025

Background: Accurate classification of electroencephalogram (EEG) signals is challenging given the nonlinear and nonstationary nature of the data as well as subject-dependent variations. Graph signal processing (GSP) has shown promising re…

Brain Network Dynamics Determine Tau Presence While Regional Vulnerability Governs Tau Load in Alzheimer's Disease Open

Yu Xiao, Nicola Spotorno, Lijun An, Vincent Bazinet, Justine Y. Hansen , et al. · 2025

Impact of regional MAPT, APOE, and Aβ on tau propagation in Alzheimer’s disease: Insights from a connectome‐based simulation model Open

Yu Xiao, Olof Strandberg, Vincent Bazinet, Golia Shafiei, Hamid Behjat , et al. · 2024

Background Tau pathology, a hallmark of Alzheimer’s disease (AD), is thought to spread cell‐to‐cell via axonal connections, beginning focally before expanding throughout the brain. This study uses computational models to investigate the in…

Multiscale Quantification of Hemispheric Asymmetry in Cortical Maps Using Geometric Eigenmodes Open

Alicia Milloz, Jacob W. Vogel, Anders S. Olsen, James C. Pang, Olof Strandberg , et al. · 2024

Hemispheric asymmetry is a universal property of brain organization with wide implications into brain function and structure, and diseases. This study presents a laterality index for characterizing hemispheric asymmetries that underlie cor…

On reconstruction of cortical functional maps using subject-specific geometric and connectome eigenmodes Open

Anders S. Olsen, Sina Mansour L., James C. Pang, Andrew Zalesky, Dimitri Van De Ville , et al. · 2024

Understanding the interplay between human brain structure and function is crucial to discern neural dynamics. This study explores the relation between brain structure and macroscale functional activity using subject-specific structural con…

Eigenmodes of the brain: revisiting connectomics and geometry Open

Sina Mansour L., Hamid Behjat, Dimitri Van De Ville, Robert E. Smith, B.T. Thomas Yeo , et al. · 2024

Eigenmodes can be derived from various structural brain properties, including cortical surface geometry 1 and interareal axonal connections comprising an organism’s connectome 2 . Pang and colleagues map geometric and connectome eigenmodes…

Graph learning from EEG data improves brain fingerprinting compared to correlation-based connectomes Open

Maliheh Miri, Vahid Abootalebi, Enrico Amico, Hamid Saeedi‐Sourck, Dimitri Van De Ville , et al. · 2024

A growing body of research in the past decade has revealed that functional interaction between brain regions entail subject-specific idiosyncrasies that are highly replicable. As such, functional connectivity patterns can be seen as an ind…

Longitudinal robustness of resting‐state functional connectivity signatures across different stages of the Alzheimer’s disease continuum Open

Hamid Behjat, Olof Strandberg, Alexa Pichet Binette, Nicola Spotorno, Jacob W. Vogel , et al. · 2023

Background A growing number of resting‐state fMRI (rs‐fMRI) studies report changes in network activity to be a frequent and often early pathological feature in many neurodegenerative conditions. The majority of studies have primarily focus…

Joint subject-identification and task-decoding from inferred functional brain graphs via a multi-task neural network Open

Elif Sema Balcioglu, Berkay Döner, Ekansh Sareen, Dimitri Van De Ville, Hamid Behjat · 2023

Functional connectivity (FC) between brain regions as manifested via fMRI entails signatures that can be used to differentiate individuals and decode cognitive tasks. In this work, we use methods from graph structure inference to estimate …

Spectral representation of EEG data using learned graphs with application to motor imagery decoding Open

Maliheh Miri, Vahid Abootalebi, Hamid Saeedi‐Sourck, Dimitri Van De Ville, Hamid Behjat · 2023

Electroencephalography (EEG) data entail a complex spatiotemporal structure that reflects ongoing organi-zation of brain activity. Characterization of the spatial patterns is an indispensable step in numerous EEG processing pipelines. We p…

Brain Fingerprinting Using FMRI Spectral Signatures On High-Resolution Cortical Graphs Open

Carlo Ferritto, Maria Giulia Preti, Stefano Moia, Dimitri Van De Ville, Hamid Behjat · 2023

Resting-state fMRI has proven to entail subject-specific signatures that can serve as a fingerprint to identify individuals. Conventional methods are based on building a connectivity matrix based on correlation between the average time cou…

Voxel-Wise Brain Graphs From Diffusion MRI: Intrinsic Eigenspace Dimensionality and Application to Functional MRI Open

Hamid Behjat, Anjali Tarun, David Abramian, Martin Larsson, Dimitri Van De Ville · 2023

Goal: Structural brain graphs are conventionally limited to defining nodes as gray matter regions from an atlas, with edges reflecting the density of axonal projections between pairs of nodes. Here we explicitly model the entire set…

Brain fingerprinting using fMRI spectral signatures on high-resolution cortical graphs Open

Carlo Ferritto, Maria Giulia Preti, Stefano Moia, Dimitri Van De Ville, Hamid Behjat · 2023

Resting-state fMRI has proven to entail subject-specific signatures that can serve as a fingerprint to identify individuals. Conventional methods are based on building a connectivity matrix based on correlation between the average time cou…

Brain fingerprinting using EEG graph inference Open

Maliheh Miri, Vahid Abootalebi, Enrico Amico, Hamid Saeedi‐Sourck, Dimitri Van De Ville , et al. · 2023

Taking advantage of the human brain functional connectome as an individual’s fingerprint has attracted great research in recent years. Conventionally, Pearson correlation between regional time-courses is used as a pairwise measure for each…

Voxel-Wise Brain Graphs from Diffusion MRI: Intrinsic Eigenspace Dimensionality and Application to Functional MRI Open

Hamid Behjat, Anjali Tarun, David Abramian, Martin Larsson, Dimitri Van De Ville · 2022

Structural brain graphs are conventionally limited to defining nodes as gray matter regions from an atlas, with edges reflecting the density of axonal projections between pairs of nodes. Here we explicitly model the entire set of voxels wi…

Spectral Representation of EEG Data using Learned Graphs with Application to Motor Imagery Decoding Open

Maliheh Miri, Vahid Abootalebi, Hamid Saeedi‐Sourck, Dimitri Van De Ville, Hamid Behjat · 2022

Electroencephalography (EEG) data entail a complex spatiotemporal structure that reflects ongoing organization of brain activity. Characterization of the spatial patterns is an indispensable step in numerous EEG processing pipelines within…

T1w/T2w Ratio and Cognition in 9-to-11-Year-Old Children Open

Lara Langensee, Theodor Rumetshofer, Hamid Behjat, Mikael Novén, Ping Li , et al. · 2022

Childhood is a period of extensive cortical and neural development. Among other things, axons in the brain gradually become more myelinated, promoting the propagation of electrical signals between different parts of the brain, which in tur…

Enhanced motor imagery-based EEG classification using a discriminative graph Fourier subspace Open

Maliheh Miri, Vahid Abootalebi, Hamid Behjat · 2022

Dealing with irregular domains, graph signal processing (GSP) has attracted much attention especially in brain imaging analysis. Motor imagery tasks are extensively utilized in brain-computer interface (BCI) systems that perform classifica…

Cortical Surface-Informed Volumetric Spatial Smoothing of fMRI Data via Graph Signal Processing Open

Hamid Behjat, Carl‐Fredrik Westin, Iman Aganj · 2021

Conventionally, as a preprocessing step, functional MRI (fMRI) data are spatially smoothed before further analysis, be it for activation mapping on task-based fMRI or functional connectivity analysis on resting-state fMRI data. When images…

Diffusion-informed spatial smoothing of fMRI data in white matter using spectral graph filters Open

David Abramian, Martin Larsson, Anders Eklund, Iman Aganj, Carl‐Fredrik Westin , et al. · 2021

Cortical Surface-Informed Volumetric Spatial Smoothing of fMRI Data via Graph Signal Processing Open

Hamid Behjat, Carl‐Fredrik Westin, Iman Aganj · 2021

Conventionally, as a preprocessing step, functional MRI (fMRI) data are spatially smoothed before further analysis, be it for activation mapping on task-based fMRI or functional connectivity analysis on resting-state fMRI data. When images…

A Discriminative Characterization of Heschl’s Gyrus Morphology using Spectral Graph Features Open

Sevil Maghsadhagh, Josué Luiz Dalboni da Rocha, Jan Benner, Peter Schneider, Narly Golestani , et al. · 2021

Heschl’s Gyrus (HG), which hosts the primary auditory cortex, exhibits large variability not only in size but also in its gyrification patterns, within (i.e., between hemispheres) and between individuals. Conventional structural measures s…

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