Neuroimaging and Biomarker-Guided Neuromodulation: Advances in Personalized Brain and Autonomic Stimulation
A special issue of Brain Sciences (ISSN 2076-3425). This special issue belongs to the section "Neurotechnology and Neuroimaging".
Deadline for manuscript submissions: 31 October 2025 | Viewed by 610
Special Issue Editors
Interests: noninvasive brain stimulation; transcranial magnetic stimulation; electroencephalography; electromyography; transcranial electrical stimulation; neurophysiology; computational modeling; finite element analysis; functional magnetic resonance imaging; tDCS; tACS; TMS; fMRI; MRI; EEG; EMG
Interests: cognitive neuroscience; non-invasive brain stimulation; transcranial magnetic stimulation; transcranial electric stimulation; EEG; TMS-EEG; tACS/tDCS/tRNS; TMS; optimization of nibs techniques for efficient neurostimulation; neuroplasticity; cognitive psychiatry; cognitive neurology; neurophysiology; neuroscience; human neuroscience
Special Issue Information
Dear Colleagues,
Neuromodulation techniques, including brain stimulation and autonomic regulation, are advancing with neuroimaging, biomarkers, and AI-driven closed-loop systems. Traditional methods such as TMS, tDCS, tACS, DBS, and transcranial ultrasound stimulation (TUS) are now refined with imaging and computational modeling, machine learning, and closed-loop controlto improve precision and personalization. Meanwhile, autonomic neuromodulation, including tVNS and HRV-based biofeedback, provides indirect pathways to influence brain function, stress regulation, and cognitive enhancement through adaptive and closed-loop mechanisms.
This Special Issue explores biomarker-driven and closed-loop neuromodulation, covering:
- Neuroimaging-informed targeting and AI-driven adaptive stimulation
- Multimodal approaches integrating brain and autonomic neuromodulation
- Computational models for real-time stimulation optimization
- Closed-loop neuromodulation and biomarker-guided feedback systems
- Applications in neurological and psychiatric disorders
- Multimodal techniques in healthy participants and clinical populations
- Clinical trials with NIBS techniques utilizing computational and closed-loop strategies
By integrating brain stimulation, autonomic modulation, computational methods, and closed-loop control, this Special Issue aims to advance personalized neuromodulation strategies for clinical and translational applications.
Dr. Mohsen Mosayebi-Samani
Dr. Desmond Agboada
Guest Editors
Manuscript Submission Information
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Keywords
- neuromodulation
- brain stimulation
- autonomic regulation
- neuroimaging
- biomarkers
- AI-driven Closed-loop Systems
- transcranial magnetic stimulation (TMS)
- transcranial direct current stimulation (tDCS)
- transcranial alternating current stimulation (tACS)
- deep brain stimulation (DBS)
- transcranial ultrasound stimulation (TUS)
- vagus nerve stimulation (tVNS)
- heart rate variability (HRV)
- biofeedback
- magnetic resonance imaging (MRI)
- electroencephalography (EEG)
- functional near-infrared spectroscopy (fNIRS)
- epilepsy
- depression
- stroke
- Alzheimer
- PTSD
- anxiety
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