Neuroimage

Papers
(The H4-Index of Neuroimage is 68. 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 2020-02-01 to 2024-02-01.)
ArticleCitations
Automated anatomical labelling atlas 3703
A multi-model deep convolutional neural network for automatic hippocampus segmentation and classification in Alzheimer’s disease283
Rumination and the default mode network: Meta-analysis of brain imaging studies and implications for depression257
Generative modeling of brain maps with spatial autocorrelation227
Harmonization of large MRI datasets for the analysis of brain imaging patterns throughout the lifespan224
FastSurfer - A fast and accurate deep learning based neuroimaging pipeline218
Sample size evolution in neuroimaging research: An evaluation of highly-cited studies (1990–2012) and of latest practices (2017–2018) in high-impact journals217
Deep neural networks and kernel regression achieve comparable accuracies for functional connectivity prediction of behavior and demographics170
Multi-channel whole-head OPM-MEG: Helmet design and a comparison with a conventional system154
Optimising network modelling methods for fMRI152
XTRACT - Standardised protocols for automated tractography in the human and macaque brain151
Comparing spatial null models for brain maps150
An automated framework for localization, segmentation and super-resolution reconstruction of fetal brain MRI149
Idiosynchrony: From shared responses to individual differences during naturalistic neuroimaging147
Finding the needle in a high-dimensional haystack: Canonical correlation analysis for neuroscientists145
Correction of respiratory artifacts in MRI head motion estimates143
Keep it real: rethinking the primacy of experimental control in cognitive neuroscience142
SANDI: A compartment-based model for non-invasive apparent soma and neurite imaging by diffusion MRI138
The neural correlates of semantic control revisited128
A set of functionally-defined brain regions with improved representation of the subcortex and cerebellum128
Increased power by harmonizing structural MRI site differences with the ComBat batch adjustment method in ENIGMA123
Longitudinal ComBat: A method for harmonizing longitudinal multi-scanner imaging data122
Movie-watching outperforms rest for functional connectivity-based prediction of behavior120
White matter microstructure across the adult lifespan: A mixed longitudinal and cross-sectional study using advanced diffusion models and brain-age prediction117
Dispersion of functional gradients across the adult lifespan117
Machine-learning-based diagnostics of EEG pathology116
Optimizing the ICA-based removal of ocular EEG artifacts from free viewing experiments114
Opportunities of connectomic neuromodulation111
Fixel-based Analysis of Diffusion MRI: Methods, Applications, Challenges and Opportunities110
Effects of repetitive transcranial magnetic stimulation on resting-state connectivity: A systematic review108
Glymphatic clearance function in patients with cerebral small vessel disease107
A novel approach to localize cortical TMS effects105
The Human Connectome Project: A retrospective102
Early life stress and brain function: Activity and connectivity associated with processing emotion and reward101
Can MRI measure myelin? Systematic review, qualitative assessment, and meta-analysis of studies validating microstructural imaging with myelin histology101
Differences in unity: The go/no-go and stop signal tasks rely on different mechanisms100
Functional reorganization of brain networks across the human menstrual cycle100
Resting-state “physiological networks”99
Metacontrol of human creativity: The neurocognitive mechanisms of convergent and divergent thinking94
LSD alters dynamic integration and segregation in the human brain93
Infant FreeSurfer: An automated segmentation and surface extraction pipeline for T1-weighted neuroimaging data of infants 0–2 years92
Brain GABA and glutamate levels across pain conditions: A systematic literature review and meta-analysis of 1H-MRS studies using the MRS-Q quality assessment tool92
Shape analysis of the human association pathways90
Instructor-learner brain coupling discriminates between instructional approaches and predicts learning89
Can EEG and MEG detect signals from the human cerebellum?86
Psilocybin acutely alters the functional connectivity of the claustrum with brain networks that support perception, memory, and attention86
Toward a connectivity gradient-based framework for reproducible biomarker discovery86
Task-induced brain connectivity promotes the detection of individual differences in brain-behavior relationships84
Brain (re)organisation following amputation: Implications for phantom limb pain84
Sub-millimeter fMRI reveals multiple topographical digit representations that form action maps in human motor cortex84
ERP CORE: An open resource for human event-related potential research82
Deep learning-based unlearning of dataset bias for MRI harmonisation and confound removal81
TractoFlow: A robust, efficient and reproducible diffusion MRI pipeline leveraging Nextflow & Singularity81
Automated segmentation of the hypothalamus and associated subunits in brain MRI80
Quantitative mapping of the brain’s structural connectivity using diffusion MRI tractography: A review80
Multimodal brain-age prediction and cardiovascular risk: The Whitehall II MRI sub-study79
ZapLine: A simple and effective method to remove power line artifacts79
The effect of network thresholding and weighting on structural brain networks in the UK Biobank79
Normative vs. patient-specific brain connectivity in deep brain stimulation76
Learning patterns of the ageing brain in MRI using deep convolutional networks76
Tractography dissection variability: What happens when 42 groups dissect 14 white matter bundles on the same dataset?75
Movies and narratives as naturalistic stimuli in neuroimaging73
Test-retest reliability of FreeSurfer automated hippocampal subfield segmentation within and across scanners72
Triaxial detection of the neuromagnetic field using optically-pumped magnetometry: feasibility and application in children71
Predicting Alzheimer's disease progression using deep recurrent neural networks71
AssemblyNet: A large ensemble of CNNs for 3D whole brain MRI segmentation70
Development of the default-mode network during childhood and adolescence: A longitudinal resting-state fMRI study70
The developing Human Connectome Project (dHCP) automated resting-state functional processing framework for newborn infants69
Theoretical advantages of a triaxial optically pumped magnetometer magnetoencephalography system68
Within and between-person correlates of the temporal dynamics of resting EEG microstates68
Towards clinical applications of movie fMRI68
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