Human Brain Mapping

Papers
(The H4-Index of Human Brain Mapping is 36. 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 2020-11-01 to 2024-11-01.)
ArticleCitations
Cortical thickness across the lifespan: Data from 17,075 healthy individuals aged 3–90 years154
Diagnostic power of resting‐state fMRI for detection of network connectivity in Alzheimer's disease and mild cognitive impairment: A systematic review108
Brain functional and effective connectivity based on electroencephalography recordings: A review106
Personalized connectivity‐guided DLPFC‐TMS for depression: Advancing computational feasibility, precision and reproducibility103
Subcortical volumes across the lifespan: Data from 18,605 healthy individuals aged 3–90 years86
Prediction of brain age and cognitive age: Quantifying brain and cognitive maintenance in aging84
Mind the gap: Performance metric evaluation in brain‐age prediction81
Multimodal imaging improves brain age prediction and reveals distinct abnormalities in patients with psychiatric and neurological disorders79
Brain age prediction: A comparison between machine learning models using region‐ and voxel‐based morphometric data71
Mitigating site effects in covariance for machine learning in neuroimaging data69
Brain gray matter structures associated with trait impulsivity: A systematic review and voxel‐based meta‐analysis67
FreeSurfer‐based segmentation of hippocampal subfields: A review of methods and applications, with a novel quality control procedure for ENIGMA studies and other collaborative ef67
Distinct functional and structural connections predict crystallised and fluid cognition in healthy adults66
A comprehensive study on electroencephalography and magnetoencephalography sensitivity to cortical and subcortical sources63
Overlapping and specific neural correlates for empathizing, affective mentalizing, and cognitive mentalizing: A coordinate‐based meta‐analytic study63
Pitfalls in brain age analyses63
Regression dynamic causal modeling for resting‐state fMRI56
The default mode network and cognition in Parkinson's disease: A multimodal resting‐state network approach54
An empirical comparison of univariate versus multivariate methods for the analysis of brain–behavior mapping54
Cardiometabolic risk factors associated with brain age and accelerated brain ageing52
Replicating extensive brain structural heterogeneity in individuals with schizophrenia and bipolar disorder51
Evidence for interhemispheric imbalance in stroke patients as revealed by combining transcranial magnetic stimulation and electroencephalography51
Abnormal dynamic functional connectivity is linked to recovery after acute ischemic stroke51
Olfactory loss and brain connectivity after COVID‐1951
Comparison of traveling‐subject and ComBat harmonization methods for assessing structural brain characteristics49
A meta‐analysis of deep brain structural shape and asymmetry abnormalities in 2,833 individuals with schizophrenia compared with 3,929 healthy volunteers via the ENIGMA Consortium48
Neuroanatomical norms in the UK Biobank: The impact of allometric scaling, sex, and age47
Reorganization of functional brain network architecture in chronic osteoarthritis pain43
Prevalence of white matter pathways coming into a single white matter voxel orientation: The bottleneck issue in tractography41
Effects of copy number variations on brain structure and risk for psychiatric illness: Large‐scale studies from theENIGMAworking groups onCNVs41
Brain mapping of auditory steady‐state responses: A broad view of cortical and subcortical sources41
Structural and functional brain alterations in anorexia nervosa:A multimodal meta‐analysis of neuroimaging studies40
Altered brain functional network dynamics in obsessive–compulsive disorder39
Principles and open questions in functional brain network reconstruction38
Zapline‐plus: A Zapline extension for automatic and adaptive removal of frequency‐specific noise artifacts in M/EEG38
Brain network integration dynamics are associated with loss and recovery of consciousness induced by sevoflurane37
The human posterior cingulate, retrosplenial, and medial parietal cortex effective connectome, and implications for memory and navigation36
Nonlinear manifold learning in functional magnetic resonance imaging uncovers a low‐dimensional space of brain dynamics36
Spatio‐temporal graph convolutional network for diagnosis and treatment response prediction of major depressive disorder from functional connectivity36
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