Linking interindividual variability in brain structure to behaviour

S Genon, SB Eickhoff, S Kharabian - Nature Reviews Neuroscience, 2022 - nature.com
What are the brain structural correlates of interindividual differences in behaviour? More
than a decade ago, advances in structural MRI opened promising new avenues to address …

Stress and adolescence: vulnerability and opportunity during a sensitive window of development

LM Sisk, DG Gee - Current Opinion in Psychology, 2022 - Elsevier
Adolescence is a period of dynamic change across multiple systems. Concurrent maturation
of neural, biological, and psychosocial functioning renders adolescence a time of …

Simultaneous, cortex-wide dynamics of up to 1 million neurons reveal unbounded scaling of dimensionality with neuron number

J Manley, S Lu, K Barber, J Demas, H Kim, D Meyer… - Neuron, 2024 - cell.com
The brain's remarkable properties arise from the collective activity of millions of neurons.
Widespread application of dimensionality reduction to multi-neuron recordings implies that …

The normative modeling framework for computational psychiatry

S Rutherford, SM Kia, T Wolfers, C Fraza, M Zabihi… - Nature protocols, 2022 - nature.com
Normative modeling is an emerging and innovative framework for map** individual
differences at the level of a single subject or observation in relation to a reference model. It …

Multivariate brain-behaviour associations in psychiatric disorders

S Vieira, TAW Bolton, M Schöttner, L Baecker… - Translational …, 2024 - nature.com
Map** brain-behaviour associations is paramount to understand and treat psychiatric
disorders. Standard approaches involve investigating the association between one brain …

[HTML][HTML] Canonical correlation analysis and partial least squares for identifying brain–behavior associations: A tutorial and a comparative study

A Mihalik, J Chapman, RA Adams, NR Winter… - Biological Psychiatry …, 2022 - Elsevier
Canonical correlation analysis (CCA) and partial least squares (PLS) are powerful
multivariate methods for capturing associations across 2 modalities of data (eg, brain and …

Hyperalignment: Modeling shared information encoded in idiosyncratic cortical topographies

JV Haxby, JS Guntupalli, SA Nastase, M Feilong - elife, 2020 - elifesciences.org
Information that is shared across brains is encoded in idiosyncratic fine-scale functional
topographies. Hyperalignment captures shared information by projecting pattern vectors for …

Statistical power in network neuroscience

K Helwegen, I Libedinsky… - Trends in Cognitive …, 2023 - cell.com
Network neuroscience has emerged as a leading method to study brain connectivity. The
success of these investigations is dependent not only on approaches to accurately map …

Trial-history biases in evidence accumulation can give rise to apparent lapses in decision-making

D Gupta, B DePasquale, CD Kopec… - Nature communications, 2024 - nature.com
Trial history biases and lapses are two of the most common suboptimalities observed during
perceptual decision-making. These suboptimalities are routinely assumed to arise from …

How to interpret resting-state fMRI: ask your participants

J Gonzalez-Castillo, JWY Kam, CW Hoy… - Journal of …, 2021 - jneurosci.org
Resting-state fMRI (rsfMRI) reveals brain dynamics in a task-unconstrained environment as
subjects let their minds wander freely. Consequently, resting subjects navigate a rich space …