OOIR: Observatory of International Research

Papers

(The H4-Index of Human Brain Mapping is 44. 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 2020-04-01 to 2024-04-01.)

Article	Citations
Cortical thickness across the lifespan: Data from 17,075 healthy individuals aged 3–90 years	125
A technical review of canonical correlation analysis for neuroscience applications	103
JuSpace: A tool for spatial correlation analyses of magnetic resonance imaging data with nuclear imaging derived neurotransmitter maps	93
Towards a brain‐based predictome of mental illness	91
Influence of sample size and analytic approach on stability and interpretation of brain‐behavior correlations in task‐related fMRI data	91
Personalized connectivity‐guided DLPFC‐TMS for depression: Advancing computational feasibility, precision and reproducibility	90
Mapping brain asymmetry in health and disease through the ENIGMA consortium	79
Brain functional and effective connectivity based on electroencephalography recordings: A review	77
Hippocampal subfield volumetry from structural isotropic 1 mm³MRI scans: A note of caution	77
Prediction of brain age and cognitive age: Quantifying brain and cognitive maintenance in aging	73
Diagnostic power of resting‐state fMRI for detection of network connectivity in Alzheimer's disease and mild cognitive impairment: A systematic review	72
Multimodal imaging improves brain age prediction and reveals distinct abnormalities in patients with psychiatric and neurological disorders	67
Dark control: The default mode network as a reinforcement learning agent	67
Toward a “treadmill test” for cognition: Improved prediction of general cognitive ability from the task activated brain	65
Greater male than female variability in regional brain structure across the lifespan	65
Data sharing and privacy issues in neuroimaging research: Opportunities, obstacles, challenges, and monsters under the bed	65
Subcortical volumes across the lifespan: Data from 18,605 healthy individuals aged 3–90 years	64
Brain gray matter structures associated with trait impulsivity: A systematic review and voxel‐based meta‐analysis	60
From a deep learning model back to the brain—Identifying regional predictors and their relation to aging	59
Distinct functional and structural connections predict crystallised and fluid cognition in healthy adults	58
Mind the gap: Performance metric evaluation in brain‐age prediction	58
Brain age prediction: A comparison between machine learning models using region‐ and voxel‐based morphometric data	58
Alpha oscillations do not implement gain control in early visual cortex but rather gating in parieto‐occipital regions	58
Consortium neuroscience of attention deficit/hyperactivity disorder and autism spectrum disorder: The ENIGMA adventure	57
What we learn about bipolar disorder from large‐scale neuroimaging: Findings and future directions from the ENIGMA Bipolar Disorder Working Group	57

A comprehensive study on electroencephalography and magnetoencephalography sensitivity to cortical and subcortical sources	56
Multiparameter mapping of relaxation (R1, R2*), proton density and magnetization transfer saturation at 3 T: A multicenter dual‐vendor reproducibility and repeatabilit	55
FreeSurfer‐based segmentation of hippocampal subfields: A review of methods and applications, with a novel quality control procedure for ENIGMA studies and other collaborative ef	54
The maternal brain: Region‐specific patterns of brain aging are traceable decades after childbirth	53
The ENIGMA Stroke Recovery Working Group: Big data neuroimaging to study brain–behavior relationships after stroke	49
Pitfalls in brain age analyses	49
Regression dynamic causal modeling for resting‐state fMRI	49
Standard‐space atlas of the viscoelastic properties of the human brain	49
Using machine learning to quantify structural MRI neurodegeneration patterns of Alzheimer's disease into dementia score: Independent validation on 8,834 images from ADNI, AIBL, OASIS, and M	48
Mitigating site effects in covariance for machine learning in neuroimaging data	48
Overlapping and specific neural correlates for empathizing, affective mentalizing, and cognitive mentalizing: A coordinate‐based meta‐analytic study	47
Deep learning‐guided joint attenuation and scatter correction in multitracer neuroimaging studies	46
Comparison of traveling‐subject and ComBat harmonization methods for assessing structural brain characteristics	46
Temporal integration as “common currency” of brain and self‐scale‐free activity in resting‐state EEG correlates with temporal delay effects on self‐relatedness	45
An empirical comparison of univariate versus multivariate methods for the analysis of brain–behavior mapping	45
The ENIGMA‐Epilepsy working group: Mapping disease from large data sets	45
Resting state functional network switching rate is differently altered in bipolar disorder and major depressive disorder	45
The default mode network and cognition in Parkinson's disease: A multimodal resting‐state network approach	45
Frequency‐dependent functional connectivity in resting state networks	44
Common and separable neural alterations in substance use disorders: A coordinate‐based meta‐analyses of functional neuroimaging studies in humans	44
Evidence for interhemispheric imbalance in stroke patients as revealed by combining transcranial magnetic stimulation and electroencephalography	44