Brain mapping of behavioral domains using multi-scale networks and canonical correlation analysis

I Fernandez-Iriondo, A Jimenez-Marin… - Frontiers in …, 2022 - frontiersin.org
Simultaneous mapping of multiple behavioral domains into brain networks remains a major
challenge. Here, we shed some light on this problem by employing a combination of …

A connectivity-based psychometric prediction framework for brain–behavior relationship studies

J Wu, SB Eickhoff, F Hoffstaedter, KR Patil… - Cerebral …, 2021 - academic.oup.com
The recent availability of population-based studies with neuroimaging and behavioral
measurements opens promising perspectives to investigate the relationships between …

How to characterize the function of a brain region

S Genon, A Reid, R Langner, K Amunts… - Trends in cognitive …, 2018 - cell.com
Many brain regions have been defined, but a comprehensive formalization of each region's
function in relation to human behavior is still lacking. Current knowledge comes from various …

Linking human behaviour to brain structure: further challenges and possible solutions

C Song, K Sandberg, R Rutiku, R Kanai - Nature Reviews …, 2022 - nature.com
0123456789 ();: represent functionally more relevant units of the brain and provide
opportunities for mechanistic insights. Another challenge to brain structure–behaviour …

A cognitive state transformation model for task-general and task-specific subsystems of the brain connectome

K Yoo, MD Rosenberg, YH Kwon, D Scheinost… - NeuroImage, 2022 - Elsevier
The human brain flexibly controls different cognitive behaviors, such as memory and
attention, to satisfy contextual demands. Much progress has been made to reveal task …

Individual-specific areal-level parcellations improve functional connectivity prediction of behavior

R Kong, Q Yang, E Gordon, A Xue, X Yan… - Cerebral …, 2021 - academic.oup.com
Resting-state functional magnetic resonance imaging (rs-fMRI) allows estimation of
individual-specific cortical parcellations. We have previously developed a multi-session …

Behavioral Studies using large-scale brain networks–methods and validations

M Liu, RC Amey, RA Backer, JP Simon… - Frontiers in Human …, 2022 - frontiersin.org
Mapping human behaviors to brain activity has become a key focus in modern cognitive
neuroscience. As methods such as functional MRI (fMRI) advance cognitive scientists show …

A matrix autoencoder framework to align the functional and structural connectivity manifolds as guided by behavioral phenotypes

NS D'Souza, MB Nebel, D Crocetti, J Robinson… - … Image Computing and …, 2021 - Springer
We propose a novel matrix autoencoder to map functional connectomes from resting state
fMRI (rs-fMRI) to structural connectomes from Diffusion Tensor Imaging (DTI), as guided by …

Spatial topography of individual-specific cortical networks predicts human cognition, personality, and emotion

R Kong, J Li, C Orban, MR Sabuncu, H Liu… - Cerebral …, 2019 - academic.oup.com
Resting-state functional magnetic resonance imaging (rs-fMRI) offers the opportunity to
delineate individual-specific brain networks. A major question is whether individual-specific …

Network and state specificity in connectivity‐based predictions of individual behavior

N Kraljević, R Langner, V Küppers… - Human Brain …, 2024 - Wiley Online Library
Predicting individual behavior from brain functional connectivity (FC) patterns can contribute
to our understanding of human brain functioning. This may apply in particular if predictions …