Towards a youth mental health paradigm: a perspective and roadmap
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 …
importance of this period for the pathogenesis, diagnosis, and treatment of mental ill-health …
Sex and gender in neurodevelopmental conditions
Health-related conditions often differ qualitatively or quantitatively between individuals of
different birth-assigned sexes and gender identities, and/or with different gendered …
different birth-assigned sexes and gender identities, and/or with different gendered …
CD8+ T cells induce interferon-responsive oligodendrocytes and microglia in white matter aging
A hallmark of nervous system aging is a decline of white matter volume and function, but the
underlying mechanisms leading to white matter pathology are unknown. In the present …
underlying mechanisms leading to white matter pathology are unknown. In the present …
Neuromaps: structural and functional interpretation of brain maps
Imaging technologies are increasingly used to generate high-resolution reference maps of
brain structure and function. Comparing experimentally generated maps to these reference …
brain structure and function. Comparing experimentally generated maps to these reference …
The Lancet Psychiatry Commission on youth mental health
PD McGorry, C Mei, N Dalal… - The Lancet …, 2024 - thelancet.com
Mental ill health, which has been the leading health and social issue impacting the lives and
futures of young people for decades, has entered a dangerous phase. Accumulating …
futures of young people for decades, has entered a dangerous phase. Accumulating …
SynthSR: A public AI tool to turn heterogeneous clinical brain scans into high-resolution T1-weighted images for 3D morphometry
Every year, millions of brain magnetic resonance imaging (MRI) scans are acquired in
hospitals across the world. These have the potential to revolutionize our understanding of …
hospitals across the world. These have the potential to revolutionize our understanding of …
Robust machine learning segmentation for large-scale analysis of heterogeneous clinical brain MRI datasets
Every year, millions of brain MRI scans are acquired in hospitals, which is a figure
considerably larger than the size of any research dataset. Therefore, the ability to analyze …
considerably larger than the size of any research dataset. Therefore, the ability to analyze …
Intrinsic activity development unfolds along a sensorimotor–association cortical axis in youth
Animal studies of neurodevelopment have shown that recordings of intrinsic cortical activity
evolve from synchronized and high amplitude to sparse and low amplitude as plasticity …
evolve from synchronized and high amplitude to sparse and low amplitude as plasticity …
The normative modeling framework for computational psychiatry
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 …
differences at the level of a single subject or observation in relation to a reference model. It …
Neuroscience needs network science
The brain is a complex system comprising a myriad of interacting neurons, posing significant
challenges in understanding its structure, function, and dynamics. Network science has …
challenges in understanding its structure, function, and dynamics. Network science has …