[HTML][HTML] Organoid intelligence (OI): the new frontier in biocomputing and intelligence-in-a-dish

L Smirnova, BS Caffo, DH Gracias, Q Huang… - Frontiers in …, 2023 - frontiersin.org
Biological computing (or biocomputing) offers potential advantages over silicon-based
computing in terms of faster decision-making, continuous learning during tasks, and greater …

Eliminating accidental deviations to minimize generalization error and maximize replicability: Applications in connectomics and genomics

EW Bridgeford, S Wang, Z Wang, T Xu… - PLoS computational …, 2021 - journals.plos.org
Replicability, the ability to replicate scientific findings, is a prerequisite for scientific discovery
and clinical utility. Troublingly, we are in the midst of a replicability crisis. A key to …

Network evolution of regional brain volumes in young children reflects neurocognitive scores and mother's education

Y Zhou, HG Müller, C Zhu, Y Chen, JL Wang… - Scientific reports, 2023 - nature.com
The maturation of regional brain volumes from birth to preadolescence is a critical
developmental process that underlies emerging brain structural connectivity and function …

[HTML][HTML] Stability and similarity of the pediatric connectome as developmental measures

T Vanderwal, J Eilbott, C Kelly, SR Frew, TS Woodward… - NeuroImage, 2021 - Elsevier
Patterns of functional connectivity are unique at the individual level, enabling test-retest
matching algorithms to identify a subject from among a group using only their functional …

Walking fingerprinting

L Koffman, C Crainiceanu… - Journal of the Royal …, 2024 - academic.oup.com
We consider the problem of predicting an individual's identity from accelerometry data
collected during walking. In a previous paper, we transformed the accelerometry time series …

Test-Retest Reliability of Functional Connectivity in Adolescents With Depression

CC Camp, S Noble, D Scheinost, A Stringaris… - Biological Psychiatry …, 2024 - Elsevier
Background The test-retest reliability of functional magnetic resonance imaging is critical to
identifying reproducible biomarkers for psychiatric illness. Recent work has shown how …

Uncertainty quantification in metric spaces

G Lugosi, M Matabuena - arXiv preprint arXiv:2405.05110, 2024 - arxiv.org
This paper introduces a novel uncertainty quantification framework for regression models
where the response takes values in a separable metric space, and the predictors are in a …

Test-retest reliability of functional connectivity in depressed adolescents

CC Camp, S Noble, D Scheinost, A Stringaris… - medRxiv, 2022 - medrxiv.org
The test-retest reliability of fMRI functional connectivity is a key factor in the identification of
reproducible biomarkers for psychiatric illness. Low reliability limits the observable effect …

Regression models for partially localized fMRI connectivity analyses

BB Smith, Y Zhao, MA Lindquist, B Caffo - Frontiers in Neuroimaging, 2023 - frontiersin.org
Background Brain functional connectivity analysis of resting-state functional magnetic
resonance imaging (fMRI) data is typically performed in a standardized template space …

[PDF][PDF] Optimal experimental design for big data: applications in brain imaging

EW Bridgeford, S Wang, Z Yang, Z Wang, T Xu… - …, 2019 - pdfs.semanticscholar.org
The cost of data acquisition and analysis is becoming prohibitively expensive for many
research groups across disciplines. And yet, as more data are available, more researchers …