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Brain Imaging

Brain Imaging

Brain imaging technologies provide critical insights into both the structure and function of the human brain, enabling medical professionals and researchers to diagnose, study, and treat neurological disorders or psychiatric disorders more effectively.
These technologies include computerized axial tomography (CAT or CT scans), positron-emission tomography (PET scans), magnetic resonance imaging (MRI), functional magnetic resonance imaging (fMRI), and Transcranial Magnetic...

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The Deep Learning Revolution in Neuroimaging: Insights from a Bibliometric Analysis (2014-2024).

Jyotismita Chaki¹, Gopikrishna Deshpande^2,3,4,5,6,7

¹School of Computer Science and Engineering, Vellore Institute of Technology, Vellore, India. jyotismita@vit.ac.in.

Neuroinformatics

|March 27, 2026

Summary

This bibliometric analysis reveals deep learning in neuroimaging is rapidly expanding, with China leading research output. Key themes include brain imaging and neurological disorder diagnosis, highlighting significant growth and influential contributions.

Keywords:

Bibliometric Analysis Deep Learning Magnetic Resonance Imaging (MRI)Neuroimaging

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Area of Science:

Neuroimaging
Artificial Intelligence
Bibliometrics

Background:

Deep learning is a rapidly advancing field within neuroimaging.
The intersection of deep learning and neuroimaging has seen significant growth.
Understanding research trends and key players is crucial for future advancements.

Purpose of the Study:

To conduct a bibliometric analysis of deep learning in neuroimaging.
To identify key research themes, influential institutions, and publication trends.
To provide insights into the current state-of-the-art and future directions.

Main Methods:

Analysis of 12,564 peer-reviewed publications from 2014-2024 sourced from Scopus.
Bibliometric analysis of publication output, citations, countries, sources, and institutions.
Identification of prominent research themes through keyword analysis.

Main Results:

The field exhibits a compound average annual growth rate of 51.7%.
China is the most productive country, with the Chinese Academy of Sciences as the leading institution.
Prominent research themes include deep learning, brain imaging (MRI), and neurological disorders (Alzheimer's, Parkinson's).

Conclusions:

Deep learning in neuroimaging is a dynamic and expanding research area.
China and its institutions are major contributors to this field.
Future research should focus on leveraging deep learning for neurological disorder diagnosis and study.