OOIR: Observatory of International Research

Papers

(The H4-Index of Journal of Neuroscience Methods is 35. 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 2020-03-01 to 2024-03-01.)

Article	Citations
Data augmentation for deep-learning-based electroencephalography	197
NODDI in clinical research	113
Osprey: Open-source processing, reconstruction & estimation of magnetic resonance spectroscopy data	106
Challenges for biophysical modeling of microstructure	84
Deep residual learning for neuroimaging: An application to predict progression to Alzheimer’s disease	77
A systematic review of EEG source localization techniques and their applications on diagnosis of brain abnormalities	76
DeepFMRI: End-to-end deep learning for functional connectivity and classification of ADHD using fMRI	76
Hippocampal atrophy based Alzheimer’s disease diagnosis via machine learning methods	60
High-pass filtering artifacts in multivariate classification of neural time series data	60
High-throughput screening of human induced pluripotent stem cell-derived brain organoids	56
Grad-CAM helps interpret the deep learning models trained to classify multiple sclerosis types using clinical brain magnetic resonance imaging	56
Animal models of pain: Diversity and benefits	52
TMS-induced silent periods: A review of methods and call for consistency	50
A comprehensive assessment of Brain Computer Interfaces: Recent trends and challenges	49
The sensitivity of diffusion MRI to microstructural properties and experimental factors	49
An EEG-fNIRS hybridization technique in the four-class classification of alzheimer’s disease	48
A major depressive disorder classification framework based on EEG signals using statistical, spectral, wavelet, functional connectivity, and nonlinear analysis	48
CWT Based Transfer Learning for Motor Imagery Classification for Brain computer Interfaces	48
Through the looking glass: A review of cranial window technology for optical access to the brain	45
TAAC - TMS Adaptable Auditory Control: A universal tool to mask TMS clicks	44
The rt-TEP tool: real-time visualization of TMS-Evoked Potentials to maximize cortical activation and minimize artifacts	43
Multi-modal neuroimaging feature fusion for diagnosis of Alzheimer’s disease	42
MI-EEGNET: A novel convolutional neural network for motor imagery classification	42
AIMAFE: Autism spectrum disorder identification with multi-atlas deep feature representation and ensemble learning	41
Gradient waveform design for tensor-valued encoding in diffusion MRI	40

Odor-induced emotion recognition based on average frequency band division of EEG signals	40
A convolutional-recurrent neural network approach to resting-state EEG classification in Parkinson’s disease	40
Model-based geometrical optimisation and in vivo validation of a spatially selective multielectrode cuff array for vagus nerve neuromodulation	39
Towards in vivo g-ratio mapping using MRI: Unifying myelin and diffusion imaging	39
Efficient whole brain transduction by systemic infusion of minimally purified AAV-PHP.eB	39
Single-trial EEG emotion recognition using Granger Causality/Transfer Entropy analysis	37
Determining the number of states in dynamic functional connectivity using cluster validity indexes	36
A novel approach for automated alcoholism detection using Fourier decomposition method	36
Machine learning methods for brain network classification: Application to autism diagnosis using cortical morphological networks	35
The role of electroencephalography electrical reference in the assessment of functional brain–heart interplay: From methodology to user guidelines	35
Automatic classification methods for detecting drowsiness using wavelet packet transform extracted time-domain features from single-channel EEG signal	35
EEG Integrated Platform Lossless (EEG-IP-L) pre-processing pipeline for objective signal quality assessment incorporating data annotation and blind source separation	35
Non-invasive brain stimulation for Parkinson’s disease: Clinical evidence, latest concepts and future goals: A systematic review	35