The challenges and prospects of brain-based prediction of behaviour

J Wu, J Li, SB Eickhoff, D Scheinost… - Nature human …, 2023 - nature.com
Relating individual brain patterns to behaviour is fundamental in system neuroscience.
Recently, the predictive modelling approach has become increasingly popular, largely due …

From exploration to exploitation: A shifting mental mode in late life development

RN Spreng, GR Turner - Trends in Cognitive Sciences, 2021 - cell.com
Changes in cognition, affect, and brain function combine to promote a shift in the nature of
mentation in older adulthood, favoring exploitation of prior knowledge over exploratory …

Leveraging machine learning for gaining neurobiological and nosological insights in psychiatric research

J Chen, KR Patil, BTT Yeo, SB Eickhoff - Biological psychiatry, 2023 - Elsevier
Much attention is currently devoted to developing diagnostic classifiers for mental disorders.
Complementing these efforts, we highlight the potential of machine learning to gain …

[HTML][HTML] Cross-cohort replicability and generalizability of connectivity-based psychometric prediction patterns

J Wu, J Li, SB Eickhoff, F Hoffstaedter, M Hanke… - Neuroimage, 2022 - Elsevier
An increasing number of studies have investigated the relationships between inter-
individual variability in brain regions' connectivity and behavioral phenotypes, making use of …

Predicting executive functioning from functional brain connectivity: network specificity and age effects

MK Heckner, EC Cieslik, KR Patil, M Gell… - Cerebral …, 2023 - academic.oup.com
Healthy aging is associated with altered executive functioning (EF). Earlier studies found
age-related differences in EF performance to be partially accounted for by changes in …

Prediction of cognitive performance differences in older age from multimodal neuroimaging data

C Krämer, J Stumme, L da Costa Campos, P Dellani… - Geroscience, 2024 - Springer
Differences in brain structure and functional and structural network architecture have been
found to partly explain cognitive performance differences in older ages. Thus, they may …

Spectrotemporal content of human auditory working memory represented in functional connectivity patterns

J Ahveninen, I Uluç, T Raij, A Nummenmaa… - Communications …, 2023 - nature.com
Recent research suggests that working memory (WM), the mental sketchpad underlying
thinking and communication, is maintained by multiple regions throughout the brain …

Is resting state fMRI better than individual characteristics at predicting cognition?

A Omidvarnia, L Sasse, DI Larabi, F Raimondo… - bioRxiv, 2023 - biorxiv.org
Abstract Changes in spontaneous brain activity at rest provide rich information about
behavior and cognition. The mathematical properties of resting-state functional magnetic …

Individual characteristics outperform resting-state fMRI for the prediction of behavioral phenotypes

A Omidvarnia, L Sasse, DI Larabi, F Raimondo… - Communications …, 2024 - nature.com
In this study, we aimed to compare imaging-based features of brain function, measured by
resting-state fMRI (rsfMRI), with individual characteristics such as age, gender, and total …

Classification and prediction of cognitive performance differences in older age based on brain network patterns using a machine learning approach

C Krämer, J Stumme, L da Costa Campos… - Network …, 2023 - direct.mit.edu
Age-related cognitive decline varies greatly in healthy older adults, which may partly be
explained by differences in the functional architecture of brain networks. Resting-state …