Frontiers in Neuroinformatics

Methods

Published on 12 Jul 2024

Dynamic topological data analysis: a novel fractal dimension-based testing framework with application to brain signals

Anass B. El-Yaagoubi
Moo K. Chung
Hernando Ombao

Frontiers in Neuroinformatics

doi 10.3389/fninf.2024.1387400

3,601 views
2 citations

Editorial

Published on 08 Jul 2024

Editorial: Innovative methods for sleep staging using neuroinformatics

Antonio Fernández-Caballero
Michel Le Van Quyen

Frontiers in Neuroinformatics

doi 10.3389/fninf.2024.1448591

1,627 views

Original Research

Published on 28 Jun 2024

Explainable deep-learning framework: decoding brain states and prediction of individual performance in false-belief task at early childhood stage

Km Bhavna
Azman Akhter
Romi Banerjee
Dipanjan Roy

Frontiers in Neuroinformatics

doi 10.3389/fninf.2024.1392661

3,905 views
2 citations

Original Research

Published on 18 Jun 2024

Identifying discriminative features of brain network for prediction of Alzheimer’s disease using graph theory and machine learning

S. M. Shayez Karim
Md Shah Fahad
R. S. Rathore

Frontiers in Neuroinformatics

doi 10.3389/fninf.2024.1384720

7,391 views
10 citations

Original Research

Published on 18 Jun 2024

Enhancing brain tumor detection in MRI with a rotation invariant Vision Transformer

Palani Thanaraj Krishnan
Pradeep Krishnadoss
Mukund Khandelwal
Devansh Gupta
Anupoju Nihaal
T. Sunil Kumar

Frontiers in Neuroinformatics

doi 10.3389/fninf.2024.1414925

6,740 views
32 citations

Original Research

Published on 12 Jun 2024

Finding the limits of deep learning clinical sensitivity with fractional anisotropy (FA) microstructure maps

Marta Gaviraghi
Antonio Ricciardi
Fulvia Palesi
Wallace Brownlee
Paolo Vitali
Ferran Prados
Baris Kanber
Claudia A. M. Gandini Wheeler-Kingshott

Frontiers in Neuroinformatics

doi 10.3389/fninf.2024.1415085

1,923 views

Original Research

Published on 23 May 2024

Events in context—The HED framework for the study of brain, experience and behavior

Scott Makeig
Kay Robbins

Frontiers in Neuroinformatics

doi 10.3389/fninf.2024.1292667

2,702 views
2 citations

Original Research

Published on 17 May 2024

Harmonizing data on correlates of sleep in children within and across neurodevelopmental disorders: lessons learned from an Ontario Brain Institute cross-program collaboration

Patrick G. McPhee
Anthony L. Vaccarino
Sibel Naska
Kirk Nylen
Jose Arturo Santisteban
Rachel Chepesiuk
Andrea Andrade
Stelios Georgiades
Brendan Behan
Alana Iaboni

Frontiers in Neuroinformatics

doi 10.3389/fninf.2024.1385526

2,695 views
1 citation

Original Research

Published on 16 May 2024

Gershgorin circle theorem-based feature extraction for biomedical signal analysis

Sahaj A. Patel
Rachel June Smith
Abidin Yildirim

Frontiers in Neuroinformatics

doi 10.3389/fninf.2024.1395916

2,765 views
2 citations

Original Research

Published on 15 May 2024

EPAT: a user-friendly MATLAB toolbox for EEG/ERP data processing and analysis

Jianwei Shi
Xun Gong
Ziang Song
Wenkai Xie
Yanfeng Yang
Xiangjie Sun
Penghu Wei
Changming Wang
Guoguang Zhao

Frontiers in Neuroinformatics

doi 10.3389/fninf.2024.1384250

6,604 views
4 citations

Original Research

Published on 13 May 2024

An optimized framework for processing multicentric polysomnographic data incorporating expert human oversight

Benedikt Holm
Gabriel Jouan
Emil Hardarson
Sigríður Sigurðardottir
Kenan Hoelke
Conor Murphy
Erna Sif Arnardóttir
María Óskarsdóttir
Anna Sigríður Islind

Frontiers in Neuroinformatics

doi 10.3389/fninf.2024.1379932

2,373 views
2 citations

Original Research

Published on 23 Apr 2024

Brain MRI sequence and view plane identification using deep learning

Syed Saad Azhar Ali

Frontiers in Neuroinformatics

doi 10.3389/fninf.2024.1373502

3,622 views
6 citations

Original Research

Published on 19 Apr 2024

Building a realistic, scalable memory model with independent engrams using a homeostatic mechanism

Marvin Kaster
Fabian Czappa
Markus Butz-Ostendorf
Felix Wolf

Frontiers in Neuroinformatics

doi 10.3389/fninf.2024.1323203

3,608 views
2 citations

Original Research

Published on 16 Apr 2024

Automatic segmentation of hemorrhagic transformation on follow-up non-contrast CT after acute ischemic stroke

Jiacheng Sun
Freda Werdiger
Christopher Blair
Chushuang Chen
Qing Yang
Andrew Bivard
Longting Lin
Mark Parsons

Frontiers in Neuroinformatics

doi 10.3389/fninf.2024.1382630

3,371 views
1 citation

Original Research

Published on 12 Apr 2024

ExaFlexHH: an exascale-ready, flexible multi-FPGA library for biologically plausible brain simulations

Rene Miedema
Christos Strydis

Frontiers in Neuroinformatics

doi 10.3389/fninf.2024.1330875

2,682 views
1 citation

Technology and Code

Published on 26 Mar 2024

suMRak: a multi-tool solution for preclinical brain MRI data analysis

Rok Ister
Marko Sternak
Siniša Škokić
Srećko Gajović

Frontiers in Neuroinformatics

doi 10.3389/fninf.2024.1358917

4,037 views

Mini Review

Published on 25 Mar 2024

Turbulent dynamics and whole-brain modeling: toward new clinical applications for traumatic brain injury

Noelia Martínez-Molina
Yonatan Sanz-Perl
Anira Escrichs
Morten L. Kringelbach
Gustavo Deco

Frontiers in Neuroinformatics

doi 10.3389/fninf.2024.1382372

4,784 views
5 citations

Original Research

Published on 22 Mar 2024

A computational model of Alzheimer's disease at the nano, micro, and macroscales

Éléonore Chamberland
Seyedadel Moravveji
Nicolas Doyon
Simon Duchesne

Frontiers in Neuroinformatics

doi 10.3389/fninf.2024.1348113

7,237 views
8 citations

Methods

Published on 19 Mar 2024

Epileptic seizure prediction based on EEG using pseudo-three-dimensional CNN

Xin Liu
Chunyang Li
Xicheng Lou
Haohuan Kong
Xinwei Li
Zhangyong Li
Lisha Zhong

Frontiers in Neuroinformatics

doi 10.3389/fninf.2024.1354436

6,682 views
18 citations

Original Research

Published on 15 Mar 2024

Automated analysis and detection of epileptic seizures in video recordings using artificial intelligence

Pragya Rai
Andrew Knight
Matias Hiillos
Csaba Kertész
Elizabeth Morales
Daniella Terney
Sidsel Armand Larsen
Tim Østerkjerhuus
Jukka Peltola
Sándor Beniczky

Frontiers in Neuroinformatics

doi 10.3389/fninf.2024.1324981

9,935 views
11 citations

Review

Published on 14 Mar 2024

A scoping review of mathematical models covering Alzheimer's disease progression

Seyedadel Moravveji
Nicolas Doyon
Javad Mashreghi
Simon Duchesne

Frontiers in Neuroinformatics

doi 10.3389/fninf.2024.1281656

8,756 views
17 citations

Original Research

Published on 11 Mar 2024

Intra-V1 functional networks and classification of observed stimuli

Marlis Ontivero-Ortega
Jorge Iglesias-Fuster
Jhoanna Perez-Hidalgo
Daniele Marinazzo
Mitchell Valdes-Sosa
Pedro Valdes-Sosa

Frontiers in Neuroinformatics

doi 10.3389/fninf.2024.1080173

4,473 views
3 citations

Editorial

Published on 01 Mar 2024

Editorial: Navigating the landscape of FAIR data sharing and reuse: repositories, standards, and resources

Maaike M. H. van Swieten
Christian Haselgrove

Frontiers in Neuroinformatics

doi 10.3389/fninf.2024.1387758

5,946 views

Original Research

Published on 29 Feb 2024

Exploring EEG-based motor imagery decoding: a dual approach using spatial features and spectro-spatial Deep Learning model IFNet

Javier V. Juan
Rubén Martínez
Eduardo Iáñez
Mario Ortiz
Jesús Tornero
José M. Azorín

Frontiers in Neuroinformatics

doi 10.3389/fninf.2024.1345425

8,109 views
8 citations

1,133 articles

articles

Dynamic topological data analysis: a novel fractal dimension-based testing framework with application to brain signals

Editorial: Innovative methods for sleep staging using neuroinformatics

Explainable deep-learning framework: decoding brain states and prediction of individual performance in false-belief task at early childhood stage

Identifying discriminative features of brain network for prediction of Alzheimer’s disease using graph theory and machine learning

Enhancing brain tumor detection in MRI with a rotation invariant Vision Transformer

Finding the limits of deep learning clinical sensitivity with fractional anisotropy (FA) microstructure maps

Events in context—The HED framework for the study of brain, experience and behavior

Harmonizing data on correlates of sleep in children within and across neurodevelopmental disorders: lessons learned from an Ontario Brain Institute cross-program collaboration

Gershgorin circle theorem-based feature extraction for biomedical signal analysis

EPAT: a user-friendly MATLAB toolbox for EEG/ERP data processing and analysis

An optimized framework for processing multicentric polysomnographic data incorporating expert human oversight

Brain MRI sequence and view plane identification using deep learning

Building a realistic, scalable memory model with independent engrams using a homeostatic mechanism

Automatic segmentation of hemorrhagic transformation on follow-up non-contrast CT after acute ischemic stroke

ExaFlexHH: an exascale-ready, flexible multi-FPGA library for biologically plausible brain simulations

suMRak: a multi-tool solution for preclinical brain MRI data analysis

Turbulent dynamics and whole-brain modeling: toward new clinical applications for traumatic brain injury

A computational model of Alzheimer's disease at the nano, micro, and macroscales

Epileptic seizure prediction based on EEG using pseudo-three-dimensional CNN

Automated analysis and detection of epileptic seizures in video recordings using artificial intelligence

A scoping review of mathematical models covering Alzheimer's disease progression

Intra-V1 functional networks and classification of observed stimuli

Editorial: Navigating the landscape of FAIR data sharing and reuse: repositories, standards, and resources

Exploring EEG-based motor imagery decoding: a dual approach using spatial features and spectro-spatial Deep Learning model IFNet