Multi-site fMRI analysis using privacy-preserving federated learning and domain adaptation: ABIDE results.

Medical Image Analysis
Xiaoxiao LiJames S Duncan

Abstract

Deep learning models have shown their advantage in many different tasks, including neuroimage analysis. However, to effectively train a high-quality deep learning model, the aggregation of a significant amount of patient information is required. The time and cost for acquisition and annotation in assembling, for example, large fMRI datasets make it difficult to acquire large numbers at a single site. However, due to the need to protect the privacy of patient data, it is hard to assemble a central database from multiple institutions. Federated learning allows for population-level models to be trained without centralizing entities' data by transmitting the global model to local entities, training the model locally, and then averaging the gradients or weights in the global model. However, some studies suggest that private information can be recovered from the model gradients or weights. In this work, we address the problem of multi-site fMRI classification with a privacy-preserving strategy. To solve the problem, we propose a federated learning approach, where a decentralized iterative optimization algorithm is implemented and shared local model weights are altered by a randomization mechanism. Considering the systemic differences...Continue Reading

References

Jun 28, 2011·Nature Methods·Tal YarkoniTor D Wager
Jul 10, 2014·Health Affairs·Joachim RoskiTimothy A Andrews
Sep 10, 2014·Health Affairs·Axel HeitmuellerAra Darzi
Nov 19, 2014·GigaScience·Gael Varoquaux, Bertrand Thirion
Mar 19, 2016·Social Cognitive and Affective Neuroscience·Kaat AlaertsNicole Wenderoth
Mar 17, 2017·Annual Review of Biomedical Engineering·Dinggang ShenHeung-Il Suk
Oct 17, 2017·NeuroImage. Clinical·Anibal Sólon HeinsfeldFelipe Meneguzzi
Oct 21, 2019·Journal of Neuroscience Methods·Noah LewisVince D Calhoun

❮ Previous
Next ❯

Citations

Oct 6, 2020·NPJ Digital Medicine·Nicola RiekeM Jorge Cardoso
Apr 14, 2021·European Journal of Nuclear Medicine and Molecular Imaging·Margarita KirienkoArturo Chiti
Apr 14, 2021·NeuroImage·Michael J S BeauvaisJudy Illes
Aug 2, 2021·Journal of the American Medical Informatics Association : JAMIA·Joseph FicekEllen Daley
Aug 31, 2021·Journal of Imaging·Juan Miguel ValverdeJussi Tohka
Sep 17, 2021·Nature Medicine·Ittai DayanQuanzheng Li

❮ Previous
Next ❯

Related Concepts

Trending Feeds

COVID-19

Coronaviruses encompass a large family of viruses that cause the common cold as well as more serious diseases, such as the ongoing outbreak of coronavirus disease 2019 (COVID-19; formally known as 2019-nCoV). Coronaviruses can spread from animals to humans; symptoms include fever, cough, shortness of breath, and breathing difficulties; in more severe cases, infection can lead to death. This feed covers recent research on COVID-19.

Blastomycosis

Blastomycosis fungal infections spread through inhaling Blastomyces dermatitidis spores. Discover the latest research on blastomycosis fungal infections here.

Nuclear Pore Complex in ALS/FTD

Alterations in nucleocytoplasmic transport, controlled by the nuclear pore complex, may be involved in the pathomechanism underlying multiple neurodegenerative diseases including Amyotrophic Lateral Sclerosis and Frontotemporal Dementia. Here is the latest research on the nuclear pore complex in ALS and FTD.

Applications of Molecular Barcoding

The concept of molecular barcoding is that each original DNA or RNA molecule is attached to a unique sequence barcode. Sequence reads having different barcodes represent different original molecules, while sequence reads having the same barcode are results of PCR duplication from one original molecule. Discover the latest research on molecular barcoding here.

Chronic Fatigue Syndrome

Chronic fatigue syndrome is a disease characterized by unexplained disabling fatigue; the pathology of which is incompletely understood. Discover the latest research on chronic fatigue syndrome here.

Evolution of Pluripotency

Pluripotency refers to the ability of a cell to develop into three primary germ cell layers of the embryo. This feed focuses on the mechanisms that underlie the evolution of pluripotency. Here is the latest research.

Position Effect Variegation

Position Effect Variagation occurs when a gene is inactivated due to its positioning near heterochromatic regions within a chromosome. Discover the latest research on Position Effect Variagation here.

STING Receptor Agonists

Stimulator of IFN genes (STING) are a group of transmembrane proteins that are involved in the induction of type I interferon that is important in the innate immune response. The stimulation of STING has been an active area of research in the treatment of cancer and infectious diseases. Here is the latest research on STING receptor agonists.

Microbicide

Microbicides are products that can be applied to vaginal or rectal mucosal surfaces with the goal of preventing, or at least significantly reducing, the transmission of sexually transmitted infections. Here is the latest research on microbicides.