Dr. Joaquín AndradePhysician & Author
Decision, Future, and Continuity2 min read

The Future of rTMS: Personalization, Artificial Intelligence, and New Protocols

by Dr. Joaquín Andrade

Neuronavigation, data, adaptive stimulation, and accelerated protocols are shaping the future of neuromodulation.

Repetitive transcranial magnetic stimulation went from being a tool for studying the motor cortex to becoming a therapeutic modality. Its next stage points toward treatments that are more precise, faster, and better adapted to each person.

Targets Defined by Connectivity

The earliest localization methods relied mainly on external landmarks and distances calculated from the motor area. Neuronavigation added the ability to work with each individual's own brain imaging.

The next step involves selecting targets based on connectivity. Rather than simply looking for an anatomical region, the aim is to identify the point best connected to the circuit that needs to be modulated.

MRI and EEG

Functional MRI makes it possible to observe relationships between brain regions. Electroencephalography records electrical activity with high temporal resolution.

Combining these tools could provide a more complete picture: where the network is located and how its activity changes. That information can be used to plan and evaluate stimulation.

Artificial Intelligence and Big Data

Every treatment generates information about diagnosis, anatomy, parameters, and outcomes. Artificial intelligence models can analyze large datasets to look for patterns that a manual review would not easily detect.

The goal is to answer practical questions: which target to choose, what intensity to use, which patients resemble those who responded, and when it makes sense to modify a protocol.

These tools do not replace clinical evaluation. They can become support systems for making decisions with more information.

Adaptive Stimulation

Most protocols are set before treatment begins. An adaptive system would attempt to observe signals from the brain and adjust certain parameters based on the response.

The idea resembles a feedback loop: measure, stimulate, measure again, and adapt. Reliable technologies and clear criteria are still needed before this can become everyday practice.

Shorter Protocols

Accelerated models have shown that the dose can be organized differently. Multiple sessions per day, carefully defined intervals, and patterns such as theta burst allow the treatment to be concentrated into a shorter timeframe.

Research will need to establish which components are essential and how to transfer them to different centers without losing precision.

New Applications and Combinations

rTMS is being studied for psychiatric disorders, pain, and neurological rehabilitation. Researchers are also investigating its integration with psychotherapy and other interventions, taking advantage of periods when the brain may be more receptive to learning.

Access, Training, and Costs

Innovation only has an impact if it can actually be implemented. Equipment, trained professionals, regulations, and financial coverage all shape availability.

The future of rTMS depends as much on improving the technology as on building systems capable of delivering it with quality. Personalization, speed, and access will all be part of the same conversation.

"New Hope for Treatment-Resistant Depression Without Medication" devotes its final chapter to these trends and to the place neuromodulation may come to occupy in mental health care.

#rTMS#artificial intelligence#innovation

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