Towards a youth mental health paradigm: a perspective and roadmap

PJ Uhlhaas, CG Davey, UM Mehta, J Shah… - Molecular …, 2023 - nature.com
Most mental disorders have a typical onset between 12 and 25 years of age, highlighting the
importance of this period for the pathogenesis, diagnosis, and treatment of mental ill-health …

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 mapping individual
differences at the level of a single subject or observation in relation to a reference model. It …

[HTML][HTML] Brain charts for the human lifespan

RAI Bethlehem, J Seidlitz, SR White, JW Vogel… - Nature, 2022 - nature.com
Over the past few decades, neuroimaging has become a ubiquitous tool in basic research
and clinical studies of the human brain. However, no reference standards currently exist to …

A canonical trajectory of executive function maturation from adolescence to adulthood

B Tervo-Clemmens, FJ Calabro, AC Parr… - Nature …, 2023 - nature.com
Theories of human neurobehavioral development suggest executive functions mature from
childhood through adolescence, underlying adolescent risk-taking and the emergence of …

Charting brain growth and aging at high spatial precision

S Rutherford, C Fraza, R Dinga, SM Kia, T Wolfers… - elife, 2022 - elifesciences.org
Defining reference models for population variation, and the ability to study individual
deviations is essential for understanding inter-individual variability and its relation to the …

Resolving heterogeneity in schizophrenia through a novel systems approach to brain structure: individualized structural covariance network analysis

Z Liu, L Palaniyappan, X Wu, K Zhang, J Du… - Molecular …, 2021 - nature.com
Reliable mapping of system-level individual differences is a critical first step toward
precision medicine for complex disorders such as schizophrenia. Disrupted structural …

Individual variations in 'brain age'relate to early-life factors more than to longitudinal brain change

D Vidal-Pineiro, Y Wang, SK Krogsrud, IK Amlien… - elife, 2021 - elifesciences.org
Brain age is a widely used index for quantifying individuals' brain health as deviation from a
normative brain aging trajectory. Higher-than-expected brain age is thought partially to …

Altered brain activity in unipolar depression unveiled using connectomics

RFH Cash, VI Müller, PB Fitzgerald, SB Eickhoff… - Nature Mental …, 2023 - nature.com
Over 20 years of neuroimaging experiments into aberrant task-based brain activity in
unipolar depression have failed to reliably delineate a convergent set of anatomical regions …

Mind the gap: Performance metric evaluation in brain‐age prediction

AMG de Lange, M Anatürk, J Rokicki… - Human Brain …, 2022 - Wiley Online Library
Estimating age based on neuroimaging‐derived data has become a popular approach to
developing markers for brain integrity and health. While a variety of machine‐learning …

Heterogeneity is a hallmark of traumatic brain injury, not a limitation: a new perspective on study design in rehabilitation research

NV Covington, MC Duff - American journal of speech-language pathology, 2021 - ASHA
Purpose In both basic science and intervention research in traumatic brain injury (TBI),
heterogeneity in the patient population is frequently cited as a limitation and is often …