Journal of Neural Engineering
Overview
The Journal of Neural Engineering is a leading scientific publication that focuses on the interdisciplinary field of neural engineering. It covers research and advancements in the development and application of technologies to understand, interface with, and manipulate the nervous system. The journal publishes high-quality articles that explore topics such as neural prosthetics, brain-computer interfaces, neuroimaging, neural regeneration, and computational neuroscience. It serves as a valuable resource for researchers, engineers, and clinicians working towards improving our understanding and
Details
Details
Abbr.
J Neural Eng
Start
2004
End
Continuing
Frequency
Six no. a year, 2009-
p-ISSN
1741-2560
e-ISSN
1741-2552
Country
United Kingdom
Language
English
Specialties
Neurology
Biomedical Engineering
Biomedical Engineering
Metrics
Metrics
h-index / Ranks: 1773
135
SJR / Ranks: 3255
1094
CiteScore / Ranks: 2534
7.50
JIF / Ranks: 2264
4.0
Recent Articles
1.
Pei Y, Zhao S, Xie L, Ji B, Luo Z, Ma C, et al.
J Neural Eng
. 2025 Mar;
PMID: 40073454
In recent years, electroencephalogram (EEG)-based emotion recognition technology has made remarkable advances. However, a subtle but crucial problem caused by the sliding window method has long been overlooked, which is...
2.
Konig S, Ramadan A, Sullivan D, Goel V, Stayner S, Schultz D, et al.
J Neural Eng
. 2025 Mar;
PMID: 40073452
Introduction
Evoked compound action potentials (ECAPs) during spinal cord stimulation (SCS) may be useful in the treatment of chronic pain as a control signal for closed-loop neuromodulation. However, considerable inter-individual variability...
3.
Dong Y, Zheng L, Pei W, Gao X, Wang Y
J Neural Eng
. 2025 Mar;
PMID: 40073451
Objective: In the field of brain-computer interface (BCI), achieving high information transfer rates (ITR) with a large number of targets remains a challenge. This study aims to address this issue...
4.
Carlson D, Chavarriaga R, Liu Y, Lotte F, Lu B
J Neural Eng
. 2025 Mar;
PMID: 40073450

Machine learning's ability to capture intricate patterns makes it vital in neural engineering research. With its increasing use, ensuring the validity and reproducibility of machine learning methods is critical. Unfortunately,...
5.
Sattari P, Ravanshid D, Nasiri R
J Neural Eng
. 2025 Mar;
PMID: 40073448
Despite remarkable advances in EMG-based hand motor decoding, developing a practical and reliable decoder for robotic prosthetic hands remains unsolved. This study highlights inter-individual, inter-session, and intra-session variabilities of EMG...
6.
Parker S, Lee X, Calvert J, Borton D
J Neural Eng
. 2025 Mar;
22(2).
PMID: 40066693
Advances in electronics and materials science have led to the development of sophisticated components for clinical and research neurotechnology systems. However, instrumentation to easily evaluate how these components function in...
7.
Zhang J, Liu Z, Chatzichristos C, Michiels S, Van Paesschen W, Hughes D, et al.
J Neural Eng
. 2025 Mar;
PMID: 40064111
Tonic-clonic seizures (TCSs), which present a significant risk for sudden unexpected death in epilepsy (SUDEP), require accurate detection to enable effective long-term monitoring. Previous studies have demonstrated the advantages of...
8.
Rodriguez-Garcia M, Carino-Escobar R, Carrillo-Mora P, Hernandez-Arenas C, Ramirez-Nava A, Pacheco-Gallegos M, et al.
J Neural Eng
. 2025 Mar;
PMID: 40064104
Objective: Upper extremity (UE) motor function loss is one of the most impactful consequences of stroke. Recently, brain-computer interface (BCI) systems have been utilized in therapy programs to enhance UE...
9.
Wang-Noth L, Heiler P, Huang H, Lichtenstern D, Reichenbach A, Flacke L, et al.
J Neural Eng
. 2025 Mar;
PMID: 40064096
. Electroencephalography (EEG) is a widely used neuroimaging technique known for its cost-effectiveness and user-friendliness. However, the presence of various artifacts leads to a poor signal-to-noise ratio, limiting the precision...
10.
Russo J, Shiels T, Lin C, John S, Grayden D
J Neural Eng
. 2025 Mar;
PMID: 40064095
There is limited work investigating Brain-Computer Interface (BCI) technology in people with Multiple Sclerosis (pwMS), a neurodegenerative disorder of the central nervous system. Present work is limited to recordings at...