ArticleFrontiers in neuroscience2018
Inter-subject Registration of Functional Images: Do We Need Anatomical Images?
Article in Frontiers in neuroscience, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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Who cites it
20 citing papers in PubMed.
- Metabolism-weighted brain connectome reveals synaptic integration and vulnerability to neurodegeneration.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Blunted Ventral Striatal Reactivity to Social Reward Is Associated with More Severe Motivation and Pleasure Deficits in Psychosis.Schizophrenia bulletin · 2025Article
- Motivation and Pleasure Deficits Undermine the Benefits of Social Affiliation in Psychosis.Clinical psychological science : a journal of the Association for Psychological Science · 2024Article
- Blunted ventral striatal reactivity to social reward is associated with more severe motivation and pleasure deficits in psychosis.Research square · 2024Article
- BLENDS: Augmentation of Functional Magnetic Resonance Images for Machine Learning Using Anatomically Constrained Warping.Brain connectivity · 2023Article
- Characterization of the angular gyrus in an older adult population: a multimodal multilevel approach.Brain structure & function · 2023Article
- Classification and prediction of cognitive performance differences in older age based on brain network patterns using a machine learning approach.Network neuroscience (Cambridge, Mass.) · 2023Article
- Interrelating differences in structural and functional connectivity in the older adult's brain.Human brain mapping · 2022Article
- Alcohol Use Disorder and Its Comorbidity With HIV Infection Disrupts Anterior Cingulate Cortex Functional Connectivity.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2022Article
- EPI susceptibility correction introduces significant differences far from local areas of high distortion.Magnetic resonance imaging · 2022Article
- Association between Long-Term Air Pollution, Chronic Traffic Noise, and Resting-State Functional Connectivity in the 1000BRAINS Study.Environmental health perspectives · 2022Article
- Association between resting-state functional brain connectivity and gene expression is altered in autism spectrum disorder.Nature communications · 2022Article
- A mice resting-state functional magnetic resonance imaging dataset on the effects of medetomidine dosages and prior-stimulation on functional connectivity.Data in brief · 2022Article
- Functional connectome fingerprint of holistic-analytic cultural style.Social cognitive and affective neuroscience · 2022Article
- Functional parcellation of human and macaque striatum reveals human-specific connectivity in the dorsal caudate.NeuroImage · 2021Article
- Performance ramifications of abnormal functional connectivity of ventral posterior lateral thalamus with cerebellum in abstinent individuals with Alcohol Use Disorder.Drug and alcohol dependence · 2021Article
- Sex Classification by Resting State Brain Connectivity.Cerebral cortex (New York, N.Y. : 1991) · 2020Article
- Anatomically-Informed Data Augmentation for Functional MRI with Applications to Deep Learning.Proceedings of SPIE--the International Society for Optical Engineering · 2020Article
- Predicting Response to the Antidepressant Bupropion using Pretreatment fMRI.Predictive Intelligence in Medicine. PRIME (Workshop) · 2019Article
- Longitudinally consistent estimates of intrinsic functional networks.Human brain mapping · 2019Article
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3 authors.
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No grant is acknowledged in the PubMed record.
Abstract
In Echo-Planar Imaging (EPI)-based Magnetic Resonance Imaging (MRI), inter-subject registration typically uses the subject's T1-weighted (T1w) anatomical image to learn deformations of the subject's brain onto a template. The estimated deformation fields are then applied to the subject's EPI scans (functional or diffusion-weighted images) to warp the latter to a template space. Historically, such indirect T1w-based registration was motivated by the lack of clear anatomical details in low-resolution EPI images: a direct registration of the EPI scans to template space would be futile. A central prerequisite in such indirect methods is that the anatomical (aka the T1w) image of each subject is well aligned with their EPI images via rigid coregistration. We provide experimental evidence that things have changed: nowadays, there is a decent amount of anatomical contrast in high-resolution EPI data. That notwithstanding, EPI distortions due to B0 inhomogeneities cannot be fully corrected. Residual uncorrected distortions induce non-rigid deformations between the EPI scans and the same subject's anatomical scan. In this manuscript, we contribute a computationally cheap pipeline that leverages the high spatial resolution of modern EPI scans for direct inter-subject matching. Our pipeline is direct and does not rely on the T1w scan to estimate the inter-subject deformation. Results on a large dataset show that this new pipeline outperforms the classical indirect T1w-based registration scheme, across a variety of post-registration quality-assessment metrics including: Normalized Mutual Information, relative variance (variance-to-mean ratio), and to a lesser extent, improved peaks of group-level General Linear Model (GLM) activation maps.
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