Neuroimage

Papers
(The H4-Index of Neuroimage is 71. 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 2020-07-01 to 2024-07-01.)
ArticleCitations
Generative modeling of brain maps with spatial autocorrelation282
FastSurfer - A fast and accurate deep learning based neuroimaging pipeline261
Sample size evolution in neuroimaging research: An evaluation of highly-cited studies (1990–2012) and of latest practices (2017–2018) in high-impact journals243
Comparing spatial null models for brain maps186
XTRACT - Standardised protocols for automated tractography in the human and macaque brain182
Multi-channel whole-head OPM-MEG: Helmet design and a comparison with a conventional system176
Finding the needle in a high-dimensional haystack: Canonical correlation analysis for neuroscientists172
Keep it real: rethinking the primacy of experimental control in cognitive neuroscience171
Idiosynchrony: From shared responses to individual differences during naturalistic neuroimaging170
SANDI: A compartment-based model for non-invasive apparent soma and neurite imaging by diffusion MRI162
Glymphatic clearance function in patients with cerebral small vessel disease151
The neural correlates of semantic control revisited151
Movie-watching outperforms rest for functional connectivity-based prediction of behavior150
Cross-species functional alignment reveals evolutionary hierarchy within the connectome143
Longitudinal ComBat: A method for harmonizing longitudinal multi-scanner imaging data141
Dispersion of functional gradients across the adult lifespan137
Increased power by harmonizing structural MRI site differences with the ComBat batch adjustment method in ENIGMA137
White matter microstructure across the adult lifespan: A mixed longitudinal and cross-sectional study using advanced diffusion models and brain-age prediction134
Confound modelling in UK Biobank brain imaging134
Fixel-based Analysis of Diffusion MRI: Methods, Applications, Challenges and Opportunities132
The Human Connectome Project: A retrospective127
Opportunities of connectomic neuromodulation127
Machine-learning-based diagnostics of EEG pathology124
Functional reorganization of brain networks across the human menstrual cycle118
Can MRI measure myelin? Systematic review, qualitative assessment, and meta-analysis of studies validating microstructural imaging with myelin histology112
Quantitative mapping of the brain’s structural connectivity using diffusion MRI tractography: A review112
Psilocybin acutely alters the functional connectivity of the claustrum with brain networks that support perception, memory, and attention108
Meaningful associations in the adolescent brain cognitive development study108
Shape analysis of the human association pathways105
LSD alters dynamic integration and segregation in the human brain105
Infant FreeSurfer: An automated segmentation and surface extraction pipeline for T1-weighted neuroimaging data of infants 0–2 years102
Automated segmentation of the hypothalamus and associated subunits in brain MRI100
Toward a connectivity gradient-based framework for reproducible biomarker discovery100
ERP CORE: An open resource for human event-related potential research98
Can EEG and MEG detect signals from the human cerebellum?98
Brain (re)organisation following amputation: Implications for phantom limb pain97
A cortical hierarchy of localized and distributed processes revealed via dissociation of task activations, connectivity changes, and intrinsic timescales96
Deep learning-based unlearning of dataset bias for MRI harmonisation and confound removal96
Triaxial detection of the neuromagnetic field using optically-pumped magnetometry: feasibility and application in children94
TractoFlow: A robust, efficient and reproducible diffusion MRI pipeline leveraging Nextflow & Singularity92
Tractography dissection variability: What happens when 42 groups dissect 14 white matter bundles on the same dataset?92
AssemblyNet: A large ensemble of CNNs for 3D whole brain MRI segmentation91
Accurate and robust whole-head segmentation from magnetic resonance images for individualized head modeling90
Theoretical advantages of a triaxial optically pumped magnetometer magnetoencephalography system87
Predicting Alzheimer's disease progression using deep recurrent neural networks86
Multimodal brain-age prediction and cardiovascular risk: The Whitehall II MRI sub-study86
SynthStrip: skull-stripping for any brain image86
Normative vs. patient-specific brain connectivity in deep brain stimulation85
The developing Human Connectome Project (dHCP) automated resting-state functional processing framework for newborn infants84
Learning patterns of the ageing brain in MRI using deep convolutional networks84
Movies and narratives as naturalistic stimuli in neuroimaging81
Measuring functional connectivity with wearable MEG81
ExploreASL: An image processing pipeline for multi-center ASL perfusion MRI studies80
Development of the default-mode network during childhood and adolescence: A longitudinal resting-state fMRI study79
Structure-function coupling in the human connectome: A machine learning approach79
Connectomics of human electrophysiology78
Towards clinical applications of movie fMRI77
Crowdsourcing neuroscience: Inter-brain coupling during face-to-face interactions outside the laboratory76
Connectome 2.0: Developing the next-generation ultra-high gradient strength human MRI scanner for bridging studies of the micro-, meso- and macro-connectome75
Advances in human intracranial electroencephalography research, guidelines and good practices75
Inter-individual variability in structural brain development from late childhood to young adulthood75
A comprehensive macaque fMRI pipeline and hierarchical atlas74
Functional network reorganization in older adults: Graph-theoretical analyses of age, cognition and sex73
Myelin quantification with MRI: A systematic review of accuracy and reproducibility73
Are intrinsic neural timescales related to sensory processing? Evidence from abnormal behavioral states73
Dynamic Functional Connectivity between order and randomness and its evolution across the human adult lifespan73
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 spread72
Advances in resting state fMRI acquisitions for functional connectomics72
LayNii: A software suite for layer-fMRI72
The sensation of groove engages motor and reward networks71
Deep brain stimulation: Imaging on a group level71
Deep brain stimulation for psychiatric disorders: From focal brain targets to cognitive networks71
DeepDTI: High-fidelity six-direction diffusion tensor imaging using deep learning71
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