Mapping adolescent brain change reveals dynamic wave of accelerated gray matter loss in very early-onset schizophrenia

By P. M. Thompson, Christine Vidal, Jay N. Giedd, P. Gochman, J. Blumenthal, R. Nicolson, Arthur W. Toga, Judith L. Rapoport. Proceedings of the National Academy of Sciences of the United States of America, 2001

808 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience, Psychiatry and Mental health

View Paper: https://www.semanticscholar.org/paper/23a79f43b9dcee93c67c3d29a4568df44caa5de3

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Cognitive Neuroscience

1. Bruce Fischl
2. Stephen M. Smith
3. David H. Salat
4. Timothy Edward John Behrens
5. Heidi Johansen-Berg
6. Paul M. Thompson
7. A. M. Dale
8. Mark Jenkinson

In Psychiatry and Mental health

1. Bruce Fischl
2. A. M. Dale
3. Stephen M. Smith
4. David H. Salat

Citations in the corpus

• Structural MRI of Pediatric Brain Development: What Have We Learned and Where Are We Going? (2010, neutral): “Most strikingly revealed by longitudinal data is progressive cortical GM loss during adolescence (Thompson et al., 2001) and delayed white matter development (Gogtay et al., 2008).”
• Advances in multimodal data fusion in neuroimaging: Overview, challenges, and novel orientation (2020, positive): “According to a longitudinal study, gray matter deficiency in schizophrenia mainly occurs in the first five years [190] .”
• Anatomically related grey and white matter abnormalities in adolescent-onset schizophrenia. (2007, background): “demonstrated in these schizophrenic adolescents will show dynamic evolution (Thompson et al., 2001; Vidal et al., 2006) towards the less marked changes previously observed in adult-onset schizophrenia, particularly in the sensorimotor-related grey and white matter.”
• RABBIT: Rapid Alignment of Brains by Building Intermediate Templates (2009, neutral): “Elastic image registration has been one of standard preprocessing steps in a great deal of medical image analysis tasks for integration and comparison of data from individuals or groups, as well as for the development of statistical atlases that reflect anatomical and functional variability within a”
• Regionally localized thinning of the cerebral cortex in schizophrenia. (2003, background): “So that homologous regions can be averaged within and between subject groups, individual brains must be aligned, by registering to standardized volumetric space(3,4,7) or by using computational matching strategies that align corresponding locations on the cortical surface.(5,6) Maps showing mean and”
• Dynamics of Gray Matter Loss in Alzheimer's Disease (2003, methodology): “On the basis of cortical models for each subject at different time points, a 3D deformation vector field was computed measuring shape change in the brain surface across the time interval (Thompson et al., 2001c).”
• The role of the cerebellum in schizophrenia. (2008, background): “Recent work demonstrates the value of in vivo anatomical MR imaging to study both normal cerebral development and abnormalities in schizophrenia (77; 78).”
• Longitudinal Mapping of Cortical Thickness and Brain Growth in Normal Children (2004, neutral): “the sample was relatively small, and brain size (i.e., DFC), cortical thickness, and behavioral correlates were not assessed ( Thompson et al., 2001a; Gogtay et al., 2004).”