Advancing the use of non-invasive brain stimulation through systematic data review

Fitzgerald, Paul B.

doi:10.1590/1516-4446-2021-1742

Cited by 2 publications

(1 citation statement)

References 4 publications

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“…The rapid progress of data availability, algorithms, and tools continue to advance the field. Additional approaches such as network lesioning studies [75][76][77] and brain stimulation [78,79] will also play a key role in helping establish the causal impact of particular brain networks or regions.…”

Section: Discussionmentioning

confidence: 99%

Data-driven approaches to neuroimaging biomarkers for neurological and psychiatric disorders: emerging approaches and examples

Calhoun

Pearlson

Sui

2021

Current Opinion in Neurology

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Purpose of review The ‘holy grail’ of clinical applications of neuroimaging to neurological and psychiatric disorders via personalized biomarkers has remained mostly elusive, despite considerable effort. However, there are many reasons to continue to be hopeful, as the field has made remarkable advances over the past few years, fueled by a variety of converging technical and data developments. Recent findings We discuss a number of advances that are accelerating the push for neuroimaging biomarkers including the advent of the ‘neuroscience big data’ era, biomarker data competitions, the development of more sophisticated algorithms including ‘guided’ data-driven approaches that facilitate automation of network-based analyses, dynamic connectivity, and deep learning. Another key advance includes multimodal data fusion approaches which can provide convergent and complementary evidence pointing to possible mechanisms as well as increase predictive accuracy. Summary The search for clinically relevant neuroimaging biomarkers for neurological and psychiatric disorders is rapidly accelerating. Here, we highlight some of these aspects, provide recent examples from studies in our group, and link to other ongoing work in the field. It is critical that access and use of these advanced approaches becomes mainstream, this will help propel the community forward and facilitate the production of robust and replicable neuroimaging biomarkers.

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