Brain structure and cognitive ability in healthy aging: a review on longitudinal correlated change

J Oschwald, S Guye, F Liem, P Rast, S Willis… - Reviews in the …, 2019 - degruyter.com
Little is still known about the neuroanatomical substrates related to changes in specific
cognitive abilities in the course of healthy aging, and the existing evidence is predominantly …

Studying neuroanatomy using MRI

JP Lerch, AJW Van Der Kouwe, A Raznahan… - Nature …, 2017 - nature.com
The study of neuroanatomy using imaging enables key insights into how our brains function,
are shaped by genes and environment, and change with development, aging and disease …

Predicting brain age with deep learning from raw imaging data results in a reliable and heritable biomarker

JH Cole, RPK Poudel, D Tsagkrasoulis, MWA Caan… - NeuroImage, 2017 - Elsevier
Abstract Machine learning analysis of neuroimaging data can accurately predict
chronological age in healthy people. Deviations from healthy brain ageing have been …

Quantitative assessment of structural image quality

AFG Rosen, DR Roalf, K Ruparel, J Blake, K Seelaus… - Neuroimage, 2018 - Elsevier
Data quality is increasingly recognized as one of the most important confounding factors in
brain imaging research. It is particularly important for studies of brain development, where …
MD Rosenberg, BJ Casey, AJ Holmes - Nature communications, 2018 - nature.com
A central aim of human neuroscience is understanding the neurobiology of cognition and
behavior. Although we have made significant progress towards this goal, reliance on group …

[HTML][HTML] Qoala-T: A supervised-learning tool for quality control of FreeSurfer segmented MRI data

ET Klapwijk, F Van De Kamp, M Van Der Meulen… - Neuroimage, 2019 - Elsevier
Performing quality control to detect image artifacts and data-processing errors is crucial in
structural magnetic resonance imaging, especially in developmental studies. Currently …

Movement-related artefacts (MR-ART) dataset of matched motion-corrupted and clean structural MRI brain scans

Á Nárai, P Hermann, T Auer, P Kemenczky, J Szalma… - Scientific data, 2022 - nature.com
Abstract Magnetic Resonance Imaging (MRI) provides a unique opportunity to investigate
neural changes in healthy and clinical conditions. Its large inherent susceptibility to motion …

Functional magnetic resonance imaging in schizophrenia: current evidence, methodological advances, limitations and future directions

AN Voineskos, C Hawco, NH Neufeld… - World …, 2024 - Wiley Online Library
Functional neuroimaging emerged with great promise and has provided fundamental
insights into the neurobiology of schizophrenia. However, it has faced challenges and …