OOIR: Observatory of International Research

Papers

(The H4-Index of Neuroimage-Clinical is 30. 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.)

Article	Citations
Neuroimaging in Functional Neurological Disorder: State of the Field and Research Agenda	94
Lesion Quantification Toolkit: A MATLAB software tool for estimating grey matter damage and white matter disconnections in patients with focal brain lesions	73
A deep learning algorithm for automatic detection and classification of acute intracranial hemorrhages in head CT scans	72
Brain-based sex differences in autism spectrum disorder across the lifespan: A systematic review of structural MRI, fMRI, and DTI findings	63
Open science datasets from PREVENT-AD, a longitudinal cohort of pre-symptomatic Alzheimer’s disease	63
Cognitive impairment and depression: Meta-analysis of structural magnetic resonance imaging studies	56
Reduced functional connectivity of default mode network subsystems in depression: Meta-analytic evidence and relationship with trait rumination	54
Cross-cohort generalizability of deep and conventional machine learning for MRI-based diagnosis and prediction of Alzheimer’s disease	51
Choroid plexus enlargement is associated with neuroinflammation and reduction of blood brain barrier permeability in depression	48
Anhedonia correlates with functional connectivity of the nucleus accumbens subregions in patients with major depressive disorder	48
Deep learning applications for the classification of psychiatric disorders using neuroimaging data: Systematic review and meta-analysis	46
The network collapse in multiple sclerosis: An overview of novel concepts to address disease dynamics	37
Differential vulnerability of the cerebellum in healthy ageing and Alzheimer’s disease	36
Brain/MINDS beyond human brain MRI project: A protocol for multi-level harmonization across brain disorders throughout the lifespan	35
Multimodal FDG-PET and EEG assessment improves diagnosis and prognostication of disorders of consciousness	35
Leptomeningeal enhancement in multiple sclerosis and other neurological diseases: A systematic review and Meta-Analysis	35
Multi-modal biomarkers of low back pain: A machine learning approach	34
Towards a tractography-based risk stratification model for language area associated gliomas	34
Role of artificial intelligence in MS clinical practice	33
Task- and resting-state fMRI studies in multiple sclerosis: From regions to systems and time-varying analysis. Current status and future perspective	33
Tau aggregation and increased neuroinflammation in athletes after sports-related concussions and in traumatic brain injury patients – A PET/MR study	33
Connectivity correlates to predict essential tremor deep brain stimulation outcome: Evidence for a common treatment pathway	33
Artificial intelligence for classification of temporal lobe epilepsy with ROI-level MRI data: A worldwide ENIGMA-Epilepsy study	32
Sex/gender differences in the human autistic brains: A systematic review of 20 years of neuroimaging research	32
Amygdala substructure volumes in Major Depressive Disorder	31

Longitudinal brain atrophy and CSF biomarkers in early-onset Alzheimer’s disease	31
FDG PET metabolic signatures distinguishing prodromal DLB and prodromal AD	31
Mood disorders disrupt the functional dynamics, not spatial organization of brain resting state networks	30
Differential early subcortical involvement in genetic FTD within the GENFI cohort	30
An automatic machine learning approach for ischemic stroke onset time identification based on DWI and FLAIR imaging	30