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RESEARCH PAPER / 2024-11-28

Native learning ability and not age determines the effects of brain stimulation.

Pablo Maceira-Elvira, Traian Popa, Anne-Christine Schmid, Andéol Cadic-Melchior, Henning Müller, Roger Schaer, Leonardo G Cohen, Friedhelm C Hummel

Defitech Chair for Clinical Neuroengineering, Neuro-X Institute (INX), École Polytechnique Fédérale de Lausanne (EPFL), Geneva, Switzerland.Defitech Chair for Clinical Neuroengineering, Neuro-X Institute (INX), École Polytechnique Fédérale de Lausanne (EPFL), Geneva, Switzerland. · pubmed

Abstract

Healthy aging often entails a decline in cognitive and motor functions, affecting independence and quality of life in older adults. Brain stimulation shows potential to enhance these functions, but studies show variable effects. Previous studies have tried to identify responders and non-responders through correlations between behavioral change and baseline parameters, but results lack generalization to independent cohorts. We propose a method to predict an individual's likelihood of benefiting from stimulation, based on baseline performance of a sequential motor task. Our results show that individuals with less efficient learning mechanisms benefit from stimulation, while those with optimal learning strategies experience none or even detrimental effects. This differential effect, first identified in a public dataset and replicated here in an independent cohort, was linked to one's ability to integrate task-relevant information and not age. This study constitutes a further step towards personalized clinical-translational interventions based on brain stimulation.

The following analysis is generated by AI and may contain errors. It is separate from the authors’ abstract and is not peer review.

Research summary

The paper addresses the effects of brain stimulation on cognitive and motor functions in older adults, which is relevant to the aging process. It proposes a method for predicting individual responses to brain stimulation based on learning ability rather than age, suggesting a more personalized approach to interventions that could enhance quality of life in aging populations. However, while the findings are solid and contribute to understanding cognitive interventions, they do not fundamentally address the root causes of aging or lifespan extension, limiting their overall impact.

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