Building better biomarkers: brain models in translational neuroimaging
Despite its great promise, neuroimaging has yet to substantially impact clinical practice and
public health. However, a developing synergy between emerging analysis techniques and …
public health. However, a developing synergy between emerging analysis techniques and …
Unity and diversity of executive functions: Individual differences as a window on cognitive structure
NP Friedman, A Miyake - Cortex, 2017 - Elsevier
Executive functions (EFs) are high-level cognitive processes, often associated with the
frontal lobes, that control lower level processes in the service of goal-directed behavior …
frontal lobes, that control lower level processes in the service of goal-directed behavior …
Federated learning enables big data for rare cancer boundary detection
Although machine learning (ML) has shown promise across disciplines, out-of-sample
generalizability is concerning. This is currently addressed by sharing multi-site data, but …
generalizability is concerning. This is currently addressed by sharing multi-site data, but …
No support for historical candidate gene or candidate gene-by-interaction hypotheses for major depression across multiple large samples
Objective: Interest in candidate gene and candidate gene-by-environment interaction
hypotheses regarding major depressive disorder remains strong despite controversy …
hypotheses regarding major depressive disorder remains strong despite controversy …
MRI signatures of brain age and disease over the lifespan based on a deep brain network and 14 468 individuals worldwide
Deep learning has emerged as a powerful approach to constructing imaging signatures of
normal brain ageing as well as of various neuropathological processes associated with …
normal brain ageing as well as of various neuropathological processes associated with …
Open science challenges, benefits and tips in early career and beyond
C Allen, DMA Mehler - PLoS biology, 2019 - journals.plos.org
The movement towards open science is a consequence of seemingly pervasive failures to
replicate previous research. This transition comes with great benefits but also significant …
replicate previous research. This transition comes with great benefits but also significant …
[HTML][HTML] Harmonization of large MRI datasets for the analysis of brain imaging patterns throughout the lifespan
As medical imaging enters its information era and presents rapidly increasing needs for big
data analytics, robust pooling and harmonization of imaging data across diverse cohorts …
data analytics, robust pooling and harmonization of imaging data across diverse cohorts …
[HTML][HTML] Recruiting the ABCD sample: Design considerations and procedures
The ABCD study is a new and ongoing project of very substantial size and scale involving
21 data acquisition sites. It aims to recruit 11,500 children and follow them for ten years with …
21 data acquisition sites. It aims to recruit 11,500 children and follow them for ten years with …
Cohort profile update: the study of health in pomerania (SHIP)
H Völzke, J Schössow, CO Schmidt… - International journal …, 2022 - academic.oup.com
The Study of Health in Pomerania (SHIP) comprises the two independent cohorts SHIP-
START (recruited between 1997 and 2001) and SHIP-TREND (recruited between 2008 to …
START (recruited between 1997 and 2001) and SHIP-TREND (recruited between 2008 to …
Deep learning encodes robust discriminative neuroimaging representations to outperform standard machine learning
Recent critical commentaries unfavorably compare deep learning (DL) with standard
machine learning (SML) approaches for brain imaging data analysis. However, their …
machine learning (SML) approaches for brain imaging data analysis. However, their …