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Updated: Feb 5, 2026

Inducing Cre-lox Recombination in Mouse Cerebral Cortex Through In Utero Electroporation
Published on: November 17, 2017
The alteration landscape of the cerebral cortex
Franco Cauda1, Andrea Nani1, Jordi Manuello1
1GCS-fMRI, Koelliker Hospital and Department of Psychology, University of Turin, Turin, Italy; Department of Psychology, University of Turin, Turin, Italy; FOCUS Lab, Department of Psychology, University of Turin, Turin, Italy.
Brain disorder categories are not always distinct. A new metric, alteration entropy (A-entropy), maps brain alterations, revealing shared and specific pathological areas for transdiagnostic and individual disease insights.
Area of Science:
- Neuroscience
- Neurology
- Psychiatry
Background:
- Traditional diagnostic categories for brain disorders are increasingly challenged.
- Transdiagnostic research reveals shared cerebral alterations across diverse psychiatric and neurological conditions.
Purpose of the Study:
- To develop a metric, alteration entropy (A-entropy), to map the "structural alteration variety" of brain regions.
- To differentiate brain areas based on their overlap in neuropathologies.
Main Methods:
- Utilized the BrainMap voxel-based morphometry database.
- Calculated A-entropy to quantify the overlap of neuropathologies in specific brain regions.
Main Results:
- Identified brain areas with high A-entropy (high overlap) linked to large-scale networks (attentional, emotional, salience, premotor), suggesting vulnerability to multiple diseases.
- Identified brain areas with low A-entropy (low overlap) including sensorimotor, visual, and temporal regions, which are more informative about specific disease impacts.
- No brain area was found to be altered by only a single disorder, indicating widespread pathological overlap.
Conclusions:
- High A-entropy areas support a transdiagnostic approach to brain disorders.
- Low A-entropy areas, while still altered by multiple disorders, offer more specific insights into individual brain disease profiles.
- The findings suggest a nuanced understanding of brain pathology, balancing shared transdiagnostic features with disorder-specific alterations.
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