Harnessing artificial intelligence in brain imaging and neural stimulation: innovations and emerging directions

Artificial intelligence (AI) has emerged as a transformative force in the fields of brain imaging and neural stimulation, offering unprecedented opportunities to advance neuroscience research and clinical practice. This Research Topic focuses on the integration of AI technologies with state-of-the-art brain imaging modalities and neural stimulation techniques to uncover novel insights, improve diagnostics, and personalize therapeutic interventions for neurological and psychiatric disorders.

By fostering collaboration between AI developers, neuroscientists, and clinicians, this collection aims to catalyze the development of innovative approaches that can reshape the future of brain health and neuroscience. The scope of this Research Topic encompasses a wide range of interdisciplinary applications at the intersection of AI, brain imaging, and neural stimulation. We welcome contributions that explore cutting-edge advancements in machine learning, deep learning, and computational modeling to analyze complex neural data from imaging modalities such as magnetic resonance imaging (MRI), functional MRI (fMRI), electroencephalography (EEG), magnetoencephalography (MEG), and positron emission tomography (PET).

Additionally, we seek studies leveraging AI for optimizing neural stimulation techniques, including transcranial magnetic stimulation (TMS), transcranial direct current stimulation (tDCS), and deep brain stimulation (DBS).

The collection will cover a variety of topics, including but not limited to:

1. AI-driven algorithms for improving the resolution, accuracy, and interpretability of brain imaging data for detecting neurological disorders such as Alzheimer's, Parkinson’s, and multiple sclerosis with high accuracy.

2. Novel AI methodologies for analyzing multimodal neural datasets and mapping brain connectivity to simulate and understand brain function, aiding research on brain networks and disorders such as schizophrenia and autism.

3. Predictive models and AI-based biomarkers for early diagnosis and treatment monitoring of neurological and psychiatric disorders.

4. AI-driven tools for the analysis of speech, facial expressions, and physiological data to diagnose and treat mental health disorders such as depression and schizophrenia.

5. Enhancements in neural stimulation protocols using AI to achieve precision targeting and optimize therapeutic efficacy.

6. AI-driven tools to accelerate drug discovery for neurological disorders by analyzing molecular interactions and predicting drug efficacy.

7. AI-driven robotics for precision brain imaging.

8. Automated neural stimulation robotics

9. Robotic-assisted deep brain stimulation surgery.

10. Ethical considerations, challenges, and future directions in applying AI to brain imaging and stimulation.

We invite original research articles, reviews, perspectives, and methodological papers that delve into these areas. Submissions may focus on technological innovations, proof-of-concept studies, clinical applications, or theoretical frameworks that push the boundaries of current knowledge in AI and neuroscience. Interdisciplinary and collaborative works that bridge computational sciences and clinical practice are particularly encouraged.
This Research Topic aspires to provide a comprehensive resource for researchers and practitioners, highlighting how AI is poised to revolutionize brain imaging and neural stimulation and inspire future advancements in neuroscience and medicine.

Article types and fees

This Research Topic accepts the following article types, unless otherwise specified in the Research Topic description:

• Brief Research Report
• Case Report
• Clinical Trial
• Data Report
• Editorial
• FAIR² Data
• FAIR² DATA Direct Submission
• General Commentary
• Hypothesis and Theory
• ... View all formats

Articles that are accepted for publication by our external editors following rigorous peer review incur a publishing fee charged to Authors, institutions, or funders.

Article types

This Research Topic accepts the following article types, unless otherwise specified in the Research Topic description:

• Brief Research Report
• Case Report
• Clinical Trial
• Data Report
• Editorial
• FAIR² Data
• FAIR² DATA Direct Submission
• General Commentary
• Hypothesis and Theory
• Methods
• Mini Review
• Opinion
• Original Research
• Perspective
• Review
• Study Protocol
• Systematic Review
• Technology and Code

Keywords: Artificial intelligence in neuroscience, Brain imaging technologies, Neural stimulation, optimization, Machine learning in neuroimaging, AI-based therapeutic interventions

Important note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.