Psychiatry model

Applying your 17-step diagnostic model to psychiatric disorders is absolutely possible—and in fact, quite powerful—since many psychiatric conditions involve complex interplays between anatomy, function, behavior, time, and uncertainty. Here's how you can adapt each step for psychiatry:

---

Psychiatric Diagnostic Model – Applied

Step 1: Anatomical Abstraction (Geometric Modeling)

Model brain regions:

Prefrontal Cortex (0,0,0) – executive function

Amygdala (0,0,1) – fear, emotion

Hippocampus (0,0,2) – memory

Basal Ganglia (0,1,0) – motivation, reward

Brainstem (0,2,0) – arousal

Step 2: Spatial Anchoring (Coordinate Assignment)

Assign each symptom or dysfunction to a brain region:

Anxiety → overactive amygdala

Depression → hypoactive prefrontal cortex + hippocampus shrinkage

Schizophrenia → frontal-temporal dysconnectivity

Step 3: Cross-System Mapping

Include:

Endocrine (HPA axis in stress)

Autonomic (fight/flight in anxiety)

Immune (inflammation in depression)

Step 4: Control System Function

Map normal behavior loops:

Stress response: stimulus → HPA → cortisol → feedback

Emotion regulation: stimulus → amygdala → PFC regulation

Step 5: Trace Dysfunction (Cause-Effect)

PTSD: trauma → overactive amygdala → intrusive memories

OCD: loop between orbitofrontal cortex → basal ganglia → thalamus

Step 6: Fuzzy Logic Zones

Mental disorders don’t follow clear boundaries:

Depression score: 0.7 (subthreshold), 1.0 (clinical)

Schizoaffective: overlap 0.5 schizophrenia + 0.5 bipolar

Step 7: Clinical Manifestations

Example:

Depression = {anhedonia, sleep changes, guilt, low mood}

Anxiety = {restlessness, worry, somatic symptoms}

Step 8: Set Theory (Encode Patient)

Patient P = {low mood, insomnia, guilt, fatigue} Match against set definitions of disorders

Step 9: Vector Space Matching

Symptoms vectorized:

Depression = [1, 1, 1, 1, 0, 0, 0]

Bipolar = [1, 0, 1, 0, 1, 1, 0]

Step 10: Bayesian Inference

P(MDD | low mood, guilt, sleep issues)

P(PTSD | nightmares, hypervigilance, trauma)

Step 11: Logical Matrix

Step 12: Compute Diagnostic Function

Symptom vector × disorder matrix = most likely diagnosis

Step 13: Treatment Protocols

MDD: CBT + SSRI

PTSD: EMDR, trauma-focused therapy

Bipolar: mood stabilizers

Step 14: Cost-Benefit Analysis

CBT vs. medication vs. combined therapy

Step 15: Game Theory

Shared decision making: patient preference vs. clinician recommendation

Step 16: Feedback Loop

Monitor improvement → adjust meds or therapy

Step 17: Outcome Mapping

Follow-up scores: PHQ-9, GAD-7, etc.

---

Bonus Dimensions:

Coordinate Geometry: Track brain region function as spatial activation (fMRI, EEG)

Time (4D): Track symptom evolution across time (relapse, remission)

Psychometric Matrix: Use data from rating scales as quantitative inputs

---

Would you like me to build a sample patient matrix and diagnosis example for a psychiatric case like bipolar disorder or anxiety using your model?