Frontiers in Neuroinformatics

Systematic Review

Published on 13 Oct 2026

Computational approaches to deep learning–driven EEG analysis for neurological disease diagnosis: a systematic review

Thazneem H F
Jisu Elsa Jacob

Frontiers in Neuroinformatics

doi 10.3389/fninf.2026.1778980

671 views

Original Research

Accepted on 12 Oct 2026

Deep Learning for Parkinson's Disease Detection from Brain MRI: A Comparative Study of Transfer Learning Backbones with Grad-CAM Interpretability

Jay Rambhai Patel
Jitali Patel

Frontiers in Neuroinformatics

Review

Published on 08 Oct 2026

Digital health meets Parkinson’s disease: a bibliometric exploration of wearable sensors research and emerging frontiers (2005–2026)

Lan Xiong

Frontiers in Neuroinformatics

doi 10.3389/fninf.2026.1937585

431 views

Original Research

Published on 07 Oct 2026

Natural language processing for suicidal behavior detection in short Spanish clinical notes from first-contact interviews

Juan Carlos Villagomez-Garcia
Juan Martínez-Miranda
Ansel Y. Rodríguez-González

Frontiers in Neuroinformatics

doi 10.3389/fninf.2026.1919962

423 views

Original Research

Published on 07 Oct 2026

BVLab-analyzer: a unified visual toolbox for terabyte-scale whole-brain cell detection, neuron reconstruction, and vascular network extraction

Ying Hu
Xiaojun Wang
Pei Sun
Yuan Shen
Tingwei Quan

Frontiers in Neuroinformatics

doi 10.3389/fninf.2026.1925112

359 views

Review

Published on 07 Oct 2026

Transformers for fMRI analysis: from spatiotemporal modeling to brain foundation models

Xiaomin Yang
Yue Li
Xue Zhang
Bocheng Wang

Frontiers in Neuroinformatics

doi 10.3389/fninf.2026.1869687

627 views

Original Research

Published on 02 Oct 2026

Safety of lecanemab in real-world patients with Alzheimer’s disease: a prospective, observational case series supported by FAERS signal analysis

Haixia Ji
Yang Yang
Xingqi Wu
Erhao Bao

Frontiers in Neuroinformatics

doi 10.3389/fninf.2026.1977226

1,778 views

Correction

Accepted on 01 Oct 2026

Correction: The PREP pipeline: standardized preprocessing for large-scale EEG analysis

Kay A Robbins

Frontiers in Neuroinformatics

125 views

Methods

Published on 01 Oct 2026

From pose estimation accuracy to motor biomarker reliability: a reliability-centred evaluation framework for markerless movement analysis

Valentin Fernandez
Khabiba Abdiyeva
Sébastien Brot
Luis Perreira de Almeida
Afsaneh Gaillard
Christine Fernandez-Maloigne

Frontiers in Neuroinformatics

doi 10.3389/fninf.2026.1790241

878 views

Original Research

Published on 30 Sep 2026

CLSP-REQA: a real-time quality-aware closed-loop seizure prediction framework with Mamba-BiLSTM and confidence-gated intervention

Mufeng Chen
Qi Wu
Bingchao Huang
Xiwen Lai
Zekai Chen
Xinge Ouyang
Quansheng Ren

Frontiers in Neuroinformatics

doi 10.3389/fninf.2026.1888743

618 views

Systematic Review

Accepted on 29 Sep 2026

EEG Emotion-Recognition Datasets Appraised for Neuroarchitecture Reuse: A Systematic Benchmark-Resource Appraisal of Openness, AI-Readiness and Ontology Maturity in Persistently Documented Corpora

Seung Yeul Ji
Mi Kyoung Kim
Han Jong Jun

Frontiers in Neuroinformatics

162 views

Original Research

Accepted on 29 Sep 2026

Altered Interictal Alpha-Band Organization in Childhood Absence Epilepsy

Miroslaw Latka
Pawel Glaba
Marta Kuryło
Beata Jędrzejczyk-Góral
Wojciech Walas
Slawomir Kroczka
Justyna Paprocka

Frontiers in Neuroinformatics

190 views

Original Research

Published on 29 Sep 2026

Window leakage in clinical EEG machine learning: matched subject-independent evaluation across ADHD and Parkinson cohorts

Burak Aggul

Frontiers in Neuroinformatics

doi 10.3389/fninf.2026.1930795

794 views

Original Research

Published on 28 Sep 2026

Irreversible functional network deformation induced by preprocessing scheme order in multivariate EEG recordings

J. Daniel Arzate-Mena
Paola V. Olguín-Rodríguez
Maria Corsi-Cabrera
Erik A. López-Alvarado
Markus F. Müller

Frontiers in Neuroinformatics

doi 10.3389/fninf.2026.1907920

605 views

Original Research

Published on 16 Sep 2026

NeuroFAIR curator: an AI-assisted framework for metadata enrichment, quality screening, curation prioritization, and FAIR readiness of brain tumor MRI data

Faizan Ullah
Zaheer Abbas
Mohmmad Abrar
Farhan Amin
N. Jon Shah

Frontiers in Neuroinformatics

doi 10.3389/fninf.2026.1907796

880 views

Original Research

Accepted on 14 Sep 2026

Reporting Framework for Event-Based Model Diagnostics

David Camacho
Jiajia Xie
James J Lah
Cassie S Mitchell

Frontiers in Neuroinformatics

333 views

Original Research

Published on 01 Sep 2026

Montage-guided fusion network for long-term scalp electroencephalography seizure detection

Hongtao Yin
Xin Yin

Frontiers in Neuroinformatics

doi 10.3389/fninf.2026.1942480

1,211 views

Hypothesis and Theory

Published on 01 Sep 2026

Toward FIAP®-Digital: an interpretable multimodal AI architecture for translational stratification and precision care in Autism

Yves Fuamba

Frontiers in Neuroinformatics

doi 10.3389/fninf.2026.1868068

1,764 views

Original Research

Published on 27 Aug 2026

Interpretable self-supervised transformers for resting-state EEG analysis in Alzheimer's disease

Syeda Shamaila Zareen
Nada Alzaben
Usman Ahmad
Talha Mahboob Alam
Asaad Algarni
Junsong Wang

Frontiers in Neuroinformatics

doi 10.3389/fninf.2026.1899573

1,532 views

Original Research

Published on 27 Aug 2026

Interpretable AI for neural signal decoding in dementia: an EEG ensemble approach to differential diagnosis

Fawad Muhammad
Irfan Ahmed Usmani
Muhammad Aamir
Mai Alduailij
Mehrez Marzougui
Rab Nawaz

Frontiers in Neuroinformatics

doi 10.3389/fninf.2026.1902549

1,221 views

Technology and Code

Published on 14 Aug 2026

ABCDscores: an R package for computing summary scores in the ABCD Study®

Le Zhang
Olivier Celhay
Biplabendu Das
Samantha Berman
Laura R. Ziemer
Calen J. Smith
Shermaine Abad
Anders M. Dale
Janosch Linkersdörfer

Frontiers in Neuroinformatics

doi 10.3389/fninf.2026.1858950

1,035 views
2 citations

Original Research

Published on 12 Aug 2026

The role of inhibition in modeling decision making with spiking neural networks

Bartłomiej Król-Józaga
Peter Duggins
Anna Broniec-Wójcik
Szymon Wichary

Frontiers in Neuroinformatics

doi 10.3389/fninf.2026.1854811

1,249 views

Original Research

Published on 12 Aug 2026

EEG-fNIRS self-supervised emotion recognition method based on dual-stream Siamese network

YuGuo Wang
Honglin Wang
Ze Wang
Yan Wu

Frontiers in Neuroinformatics

doi 10.3389/fninf.2026.1894506

1,029 views

Original Research

Accepted on 11 Aug 2026

Extending the NeuroML Ontology with EDEN to Support Modern Experiments

Sotirios Panagiotou
Mario Negrello
Dimitrios Soudris
Christos Strydis

Frontiers in Neuroinformatics

552 views

1,177 Publications

volumes

Volume 20 - 2026

Computational approaches to deep learning–driven EEG analysis for neurological disease diagnosis: a systematic review

Deep Learning for Parkinson's Disease Detection from Brain MRI: A Comparative Study of Transfer Learning Backbones with Grad-CAM Interpretability

Digital health meets Parkinson’s disease: a bibliometric exploration of wearable sensors research and emerging frontiers (2005–2026)

Natural language processing for suicidal behavior detection in short Spanish clinical notes from first-contact interviews

BVLab-analyzer: a unified visual toolbox for terabyte-scale whole-brain cell detection, neuron reconstruction, and vascular network extraction

Transformers for fMRI analysis: from spatiotemporal modeling to brain foundation models

Safety of lecanemab in real-world patients with Alzheimer’s disease: a prospective, observational case series supported by FAERS signal analysis

Correction: The PREP pipeline: standardized preprocessing for large-scale EEG analysis

From pose estimation accuracy to motor biomarker reliability: a reliability-centred evaluation framework for markerless movement analysis

CLSP-REQA: a real-time quality-aware closed-loop seizure prediction framework with Mamba-BiLSTM and confidence-gated intervention

EEG Emotion-Recognition Datasets Appraised for Neuroarchitecture Reuse: A Systematic Benchmark-Resource Appraisal of Openness, AI-Readiness and Ontology Maturity in Persistently Documented Corpora

Altered Interictal Alpha-Band Organization in Childhood Absence Epilepsy

Window leakage in clinical EEG machine learning: matched subject-independent evaluation across ADHD and Parkinson cohorts

Irreversible functional network deformation induced by preprocessing scheme order in multivariate EEG recordings

NeuroFAIR curator: an AI-assisted framework for metadata enrichment, quality screening, curation prioritization, and FAIR readiness of brain tumor MRI data

Reporting Framework for Event-Based Model Diagnostics

Montage-guided fusion network for long-term scalp electroencephalography seizure detection

Toward FIAP®-Digital: an interpretable multimodal AI architecture for translational stratification and precision care in Autism

Interpretable self-supervised transformers for resting-state EEG analysis in Alzheimer's disease

Interpretable AI for neural signal decoding in dementia: an EEG ensemble approach to differential diagnosis

ABCDscores: an R package for computing summary scores in the ABCD Study®

The role of inhibition in modeling decision making with spiking neural networks

EEG-fNIRS self-supervised emotion recognition method based on dual-stream Siamese network

Extending the NeuroML Ontology with EDEN to Support Modern Experiments