Neuroimage

Papers
(The H4-Index of Neuroimage is 70. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-06-01 to 2024-06-01.)
ArticleCitations
Generative modeling of brain maps with spatial autocorrelation274
FastSurfer - A fast and accurate deep learning based neuroimaging pipeline258
Sample size evolution in neuroimaging research: An evaluation of highly-cited studies (1990–2012) and of latest practices (2017–2018) in high-impact journals236
Comparing spatial null models for brain maps179
XTRACT - Standardised protocols for automated tractography in the human and macaque brain176
Multi-channel whole-head OPM-MEG: Helmet design and a comparison with a conventional system174
Finding the needle in a high-dimensional haystack: Canonical correlation analysis for neuroscientists166
Idiosynchrony: From shared responses to individual differences during naturalistic neuroimaging165
Keep it real: rethinking the primacy of experimental control in cognitive neuroscience163
SANDI: A compartment-based model for non-invasive apparent soma and neurite imaging by diffusion MRI158
The neural correlates of semantic control revisited148
Glymphatic clearance function in patients with cerebral small vessel disease144
Cross-species functional alignment reveals evolutionary hierarchy within the connectome142
Movie-watching outperforms rest for functional connectivity-based prediction of behavior139
Longitudinal ComBat: A method for harmonizing longitudinal multi-scanner imaging data135
Increased power by harmonizing structural MRI site differences with the ComBat batch adjustment method in ENIGMA133
Dispersion of functional gradients across the adult lifespan131
White matter microstructure across the adult lifespan: A mixed longitudinal and cross-sectional study using advanced diffusion models and brain-age prediction128
Confound modelling in UK Biobank brain imaging128
Fixel-based Analysis of Diffusion MRI: Methods, Applications, Challenges and Opportunities125
The Human Connectome Project: A retrospective123
Opportunities of connectomic neuromodulation123
Machine-learning-based diagnostics of EEG pathology122
Functional reorganization of brain networks across the human menstrual cycle113
Can MRI measure myelin? Systematic review, qualitative assessment, and meta-analysis of studies validating microstructural imaging with myelin histology110
Quantitative mapping of the brain’s structural connectivity using diffusion MRI tractography: A review106
Resting-state “physiological networks”104
Meaningful associations in the adolescent brain cognitive development study104
LSD alters dynamic integration and segregation in the human brain104
Shape analysis of the human association pathways102
Psilocybin acutely alters the functional connectivity of the claustrum with brain networks that support perception, memory, and attention100
Infant FreeSurfer: An automated segmentation and surface extraction pipeline for T1-weighted neuroimaging data of infants 0–2 years99
Can EEG and MEG detect signals from the human cerebellum?96
A cortical hierarchy of localized and distributed processes revealed via dissociation of task activations, connectivity changes, and intrinsic timescales95
Toward a connectivity gradient-based framework for reproducible biomarker discovery95
ERP CORE: An open resource for human event-related potential research95
Brain (re)organisation following amputation: Implications for phantom limb pain94
Deep learning-based unlearning of dataset bias for MRI harmonisation and confound removal94
Automated segmentation of the hypothalamus and associated subunits in brain MRI94
Triaxial detection of the neuromagnetic field using optically-pumped magnetometry: feasibility and application in children92
TractoFlow: A robust, efficient and reproducible diffusion MRI pipeline leveraging Nextflow & Singularity91
Tractography dissection variability: What happens when 42 groups dissect 14 white matter bundles on the same dataset?90
AssemblyNet: A large ensemble of CNNs for 3D whole brain MRI segmentation89
Theoretical advantages of a triaxial optically pumped magnetometer magnetoencephalography system86
Accurate and robust whole-head segmentation from magnetic resonance images for individualized head modeling86
Multimodal brain-age prediction and cardiovascular risk: The Whitehall II MRI sub-study85
Predicting Alzheimer's disease progression using deep recurrent neural networks84
Learning patterns of the ageing brain in MRI using deep convolutional networks83
Normative vs. patient-specific brain connectivity in deep brain stimulation82
Measuring functional connectivity with wearable MEG80
ExploreASL: An image processing pipeline for multi-center ASL perfusion MRI studies80
The developing Human Connectome Project (dHCP) automated resting-state functional processing framework for newborn infants79
SynthStrip: skull-stripping for any brain image78
Connectomics of human electrophysiology78
Movies and narratives as naturalistic stimuli in neuroimaging77
Structure-function coupling in the human connectome: A machine learning approach77
Development of the default-mode network during childhood and adolescence: A longitudinal resting-state fMRI study77
Towards clinical applications of movie fMRI76
Connectome 2.0: Developing the next-generation ultra-high gradient strength human MRI scanner for bridging studies of the micro-, meso- and macro-connectome75
Crowdsourcing neuroscience: Inter-brain coupling during face-to-face interactions outside the laboratory74
A comprehensive macaque fMRI pipeline and hierarchical atlas73
Are intrinsic neural timescales related to sensory processing? Evidence from abnormal behavioral states73
Functional network reorganization in older adults: Graph-theoretical analyses of age, cognition and sex73
Myelin quantification with MRI: A systematic review of accuracy and reproducibility72
Inter-individual variability in structural brain development from late childhood to young adulthood72
Advances in resting state fMRI acquisitions for functional connectomics72
Advances in human intracranial electroencephalography research, guidelines and good practices71
The Bayesian Virtual Epileptic Patient: A probabilistic framework designed to infer the spatial map of epileptogenicity in a personalized large-scale brain model of epilepsy spread71
Deep brain stimulation: Imaging on a group level71
Dynamic Functional Connectivity between order and randomness and its evolution across the human adult lifespan71
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