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Everything about Brain morphometry

Brain morphometry is a subfield of both morphometry and the brain sciences, concerned with the measurement of brain structures and changes thereof during development, aging, learning, disease and evolution. Since autopsy-like dissection is generally impossible on living brains, brain morphometry starts with noninvasive neuroimaging data, typically obtained from magnetic resonance imaging (MRI). These data are born digital, which allows researchers to analyze the brain images further by using advanced mathematical and statistical methods such as shape quantification or multivariate analysis. This allows researchers to quantify anatomical features of the brain in terms of shape, mass, volume, and to derive more specific information, such as the encephalization quotient, grey matter density and white matter connectivity, gyrification, cortical thickness, or the amount of cerebrospinal fluid. These variables can then be mapped within the brain volume or on the brain surface, providing a convenient way to assess their pattern and extent over time, across individuals or even between different biological species. The field is rapidly evolving along with neuroimaging techniques—which deliver the underlying data—but also develops in part independently from them, as part of the emerging field of neuroinformatics, which is concerned with developing and adapting algorithms to analyze those data. Wikipedia →

🧭 Start here: a 6-step reading path

  1. Read the overview: Brain morphometryA 5-minute orientation
  2. Skim a recent paper: Normative Modeling of Brain Morphometry in Clinical High Risk for PsychosisInfluential work since 2022
  3. Pick up a classic book: Brain MorphometryThe most-reprinted book on the subject
  4. Read the landmark paper: Brain morphometry with multiecho MPRAGECited 612 times
  5. Go sideways: Voxel-based morphometryA closely related topic
  6. Go sideways: Statistical shape analysisA closely related topic

📖 Definitions

No dictionary entry for this exact phrase.

🗂️ The subject at a glance

  1. Background
  2. Methodologies
  3. Diffeomorphometry
  4. Applications

🏆 Landmark papers (most cited)

🆕 Influential since 2022

📚 Books worth reading

Ranked by number of editions on Open Library, a rough measure of how lasting a book is.

🔗 Related topics