Springer Nature

Brain Informatics Template

Write in a clean editor, then format for Brain Informatics in one click — DocuGuru applies the official Springer Nature template with numbered references and exports a submission-ready PDF plus the editable LaTeX source. Free to start.

About the Brain Informatics format

Brain Informatics is a peer-reviewed journal published by Springer Nature, covering EEG and Brain-Computer Interfaces, Functional Brain Connectivity Studies, Neural dynamics and brain function.

PublisherSpringer Nature
Reference styleNumbered (Springer Basic)
Numbered — [1], [2] in the text
1. Smith A, Jones B, Lee C (2023) A representative article title. Brain Informatics 12:45–58

Formats any DOI in Brain Informatics style. No sign-up.

Publishes research inEEG and Brain-Computer Interfaces Functional Brain Connectivity Studies Neural dynamics and brain function Blind Source Separation Techniques Dementia and Cognitive Impairment Research
ISSN2198-4018
Citation impact (2-yr)9.73
h-index48
i10-index176
Total citations10,397
Article processing charge$969
Open accessYes
Top institutions publishing hereUniversity of Southern Queensland
Journal websitebraininformatics.springeropen.com
You getA submission-ready PDF and the editable LaTeX source — ready to submit.

Papers published in Brain Informatics per year

9
2014
20
2015
31
2016
15
2017
17
2018
8
2019
20
2020
27
2021
30
2022
34
2023
33
2024
40
2025

Citation impact of Brain Informatics by publication year

194
2014
583
2015
2K
2016
944
2017
1.5K
2018
265
2019
1.6K
2020
686
2021
543
2022
1.1K
2023
723
2024
204
2025

Citations each year’s papers have accumulated so far — the most recent years are still building up.

Most-cited papers in Brain Informatics

Interactive machine learning for health informatics: when do we need the human-in-the-loop?

Andreas Holzinger · 2 Mar 2016

Machine learning (ML) is the fastest growing field in computer science, and health informatics is among the greatest challenges. The goal of ML is to develop algorithms which can learn and improve over time and can be used for predictions. Most ML researchers concentrate on automatic machine learning (aML), where great advances have been made,…

Machine learning–XGBoost analysis of language networks to classify patients with epilepsy

Laurent Torlay, Marcela Perrone‐Bertolotti, Elizabeth Thomas et al. · 22 Apr 2017

Our goal was to apply a statistical approach to allow the identification of atypical language patterns and to differentiate patients with epilepsy from healthy subjects, based on their cerebral activity, as assessed by functional MRI (fMRI). Patients with focal epilepsy show reorganization or plasticity of brain networks involved in cognitive functions, inducing 'atypical' (compared to…

Identification and classification of brain tumor MRI images with feature extraction using DWT and probabilistic neural network

N. Varuna Shree, T. N. R. Kumar · 8 Jan 2018

The identification, segmentation and detection of infecting area in brain tumor MRI images are a tedious and time-consuming task. The different anatomy structure of human body can be visualized by an image processing concepts. It is very difficult to have vision about the abnormal structures of human brain using simple imaging techniques. Magnetic resonance imaging…

Brain MRI analysis for Alzheimer’s disease diagnosis using an ensemble system of deep convolutional neural networks

Jyoti Islam, Yanqing Zhang · 31 May 2018

Alzheimer's disease is an incurable, progressive neurological brain disorder. Earlier detection of Alzheimer's disease can help with proper treatment and prevent brain tissue damage. Several statistical and machine learning models have been exploited by researchers for Alzheimer's disease diagnosis. Analyzing magnetic resonance imaging (MRI) is a common practice for Alzheimer's disease diagnosis in clinical research.…

A review of epileptic seizure detection using machine learning classifiers

Mohammad Khubeb Siddiqui, Rubén Morales-Menéndez, Xiaodi Huang et al. · 25 May 2020

Epilepsy is a serious chronic neurological disorder, can be detected by analyzing the brain signals produced by brain neurons. Neurons are connected to each other in a complex way to communicate with human organs and generate signals. The monitoring of these brain signals is commonly done using Electroencephalogram (EEG) and Electrocorticography (ECoG) media. These signals…

Brain Informatics template — frequently asked questions

How do I write a paper in the Brain Informatics format?
In DocuGuru you write your manuscript in a normal editor — no LaTeX setup required — and select the Brain Informatics template. When you export, DocuGuru compiles the paper into the official Springer Nature format and hands you a submission-ready PDF along with the editable LaTeX source.
What reference style does Brain Informatics use?
Brain Informatics uses Numbered (Springer Basic) references, shown as numbered [1], [2] markers in the text. DocuGuru formats every in-text citation and the reference list in this exact style automatically. A reference appears like this: 1. Smith A, Jones B, Lee C (2023) A representative article title. Brain Informatics 12:45–58
Do I need to know LaTeX to submit to Brain Informatics?
No. DocuGuru generates the sn-jnl LaTeX class and compiles the PDF for you in the background, so you get a Springer Nature-ready Brain Informatics document without writing any LaTeX. If you do want it, the LaTeX source is included in the export.
Can I import an existing draft into the Brain Informatics template?
Yes. Paste or upload your current manuscript — Word, LaTeX, Markdown, or plain text — and DocuGuru reflows it into the Brain Informatics format with correct headings, figures, tables, and numbered citations.
Who publishes Brain Informatics?
Brain Informatics is a multidisciplinary journal published by Springer Nature. DocuGuru's Brain Informatics template matches Springer Nature's official submission format.
Can I export a submission-ready Brain Informatics PDF?
Yes — DocuGuru produces a PDF built with the official Brain Informatics template (the sn-jnl class) that is ready to submit to Springer Nature, together with the matching LaTeX source files.
How much does the Brain Informatics template cost?
You can start writing in the Brain Informatics template for free. Exporting the final submission-ready Brain Informatics PDF and LaTeX source is part of DocuGuru's paid plans — see the app for current pricing.
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