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

353 views

Methods

Accepted on 25 Jun 2024

Exploring white matter dynamics and morphology through interactive numerical phantoms: The White Matter Generator

Sidsel Winther
Oscar Peulicke
Mariam Andersson
Hans Martin Kjer
Jakob Andreas Bærentzen
Tim Bjørn Dyrby

Frontiers in Neuroinformatics

doi 10.3389/fninf.2024.1354708

Editorial

Accepted on 25 Jun 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

Methods

Accepted on 21 Jun 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

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

2,343 views

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

668 views

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

517 views

Technology and Code

Accepted on 11 Jun 2024

Neuroimaging Article Reexecution and Reproduction Assesment System

Horea-Ioan Ioanas
Austin Scott Macdonald
Yaroslav O. Halchenko

Frontiers in Neuroinformatics

doi 10.3389/fninf.2024.1376022

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

485 views

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

622 views

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

699 views
1 citation

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

860 views

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

565 views

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

693 views

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

1,020 views

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

851 views

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Articles

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

Exploring white matter dynamics and morphology through interactive numerical phantoms: The White Matter Generator

Editorial: Innovative Methods for Sleep Staging Using Neuroinformatics

Dynamic Topological Data Analysis: A Novel Fractal Dimension-Based Testing Framework with Application to Brain Signals

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

Neuroimaging Article Reexecution and Reproduction Assesment System

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