Back to Lectures 23—42

Volume II · Lecture 25

A Dynamical Taxonomy of Psychiatric Disorders

Classifying patterns of altered flow without erasing diagnosis or difference

01

The human problem

A transdiagnostic map organizes suffering through compression, instability, excessive gain, rigid prediction, load and impaired return—while preserving diagnostic caution.

Core sentence

Different diagnoses can share a geometry, and similar symptoms can emerge from different dynamics.

taxonomytransdiagnosticprecision
02

What this adds

The new move

It proposes dynamical families that can sit beside—not replace—established diagnosis.

03

Publication briefing

Transparent status

The canonical structure is live. The full web edition is the next editorial layer.

This page does not use filler or pretend the source manuscript has already been converted. It holds the lecture question, contribution, novel concept, practical translation and visual model so the full edition can enter without changing its URL, navigation or design system.

FH / 25Novel concept

Dynamical phenotype

A profile of compression, gain, switching, load and return that can vary within one diagnosis and overlap across several.

05

Practical translation

For reflection and conversation

Three moves that return the idea to the field.

  1. Ask which dynamical pattern is active now.
  2. Keep diagnosis, mechanism and person on separate lines.
  3. Use overlap to widen inquiry, not to overclaim.

Educational translation only. Not a risk assessment, treatment plan or individualized medical advice.

One visual model

Six ways flow can become altered

The profile is descriptive and hypothesis-generating; it is not a diagnostic instrument.

Lecture poster

FLOW HIJACKED · 25

A Dynamical Taxonomy of Psychiatric Disorders

Different diagnoses can share a geometry, and similar symptoms can emerge from different dynamics.
01compression02instability03amplification04rigidity05load06slow return
Conceptual visual model · not a diagnostic instrument

Research anchors

Lineage, evidence and limits

Sources this page is thinking with

This is a focused set of sources doing conceptual work on the page, not a systematic review or exhaustive bibliography. The Research Library adds summaries, themes and cross-lecture links.

  1. Volkow, N. D., Koob, G. F. & McLellan, A. T. (2016).Neurobiologic advances from the brain disease model of addiction.New England Journal of Medicine, 374, 363–371.DOI ↗
  2. Trefethen, L. N., Trefethen, A. E., Reddy, S. C. & Driscoll, T. A. (1993).Hydrodynamic stability without eigenvalues.Science, 261(5121), 578–584.DOI ↗
  3. Durstewitz, D., Huys, Q. J. M. & Koppe, G. (2021).Psychiatric illnesses as disorders of network dynamics.Biological Psychiatry: Cognitive Neuroscience and Neuroimaging, 6(9), 865–876.DOI ↗
Explore in the Research Library

Citation does not imply that a source validates the complete Flow Hijacked synthesis.

Full editions

The source remains available beside the web edition.

No verified source file has been paired with this lecture yet. No fictional link is shown.

Continuity