← Capabilities

Anxiety and Depression Index Scores

Composite behavioral indices across anxiety and depression batteries

Automatically compute EPM anxiety index, FST immobility ratio, and multi-test Z-score behavioral profiles — standardized composite scores from raw tracking data.

Anxiety and Depression Index Scores
6
Standard composite indices
Auto
Z-score normalization
5+
Tests in behavioral profile
0
Manual calculation steps
The problem

Composite scores require manual integration across multiple tests

No single behavioral test captures the full anxiety or depression phenotype. Labs run batteries of 3-5 tests, but integrating results into composite indices requires custom spreadsheets, Z-score normalization against control groups, and manual profile construction.

  • Each test produces its own dependent variables in different units — combining them requires normalization
  • Z-score profiles against control groups need custom scripts that vary across labs
  • Multi-test behavioral profiles are constructed manually, preventing standardized comparison across studies
The solution

Built-in composite indices and behavioral profiles

ConductVision computes standard composite indices from raw tracking data: EPM anxiety index, FST immobility ratio, light/dark preference score, open field exploration index, sociability index, and sucrose preference ratio. Z-score profiles across the full battery are generated automatically.

  • Six standard indices computed automatically from paradigm-specific tracking data
  • Z-score normalization against user-defined control group for cross-test comparison
  • Multi-test behavioral profile visualization — spider plots and bar charts across the battery
Endpoints

Composite behavioral measures

Individual composite indices

Individual composite indices

EPM anxiety index, FST immobility ratio, OF exploration index, LD preference score, sociability index, and sucrose preference — each computed from paradigm-specific raw data.

CSVJSON
Z-score behavioral profile

Z-score behavioral profile

All indices normalized to control group as Z-scores. Enables within-subject comparison across tests and detection of mixed phenotypes.

CSVPNG
Group comparison summary

Group comparison summary

Treatment vs. control composite index comparison with effect sizes and significance testing across all battery tests.

CSVPDF
Applications

Phenotyping and pharmacology applications

Drug screening

Anxiolytic and antidepressant profiling

Composite indices across the anxiety/depression battery provide a multi-dimensional drug profile rather than a single-test result.

Measures
  • Anxiety index change
  • Depression index change
  • Behavioral profile shift
Phenotyping

Transgenic line characterization

Z-score profiles across the full battery reveal whether a genetic manipulation produces a pure anxiety phenotype, depression phenotype, or mixed profile.

Measures
  • Anxiety Z-score
  • Depression Z-score
  • Profile pattern classification
Sex differences

Sex-dependent behavioral profiles

Compare male and female Z-score profiles to detect sex-dependent effects that single-test analysis might miss.

Measures
  • Sex × test interaction
  • Profile divergence score
  • Index-specific sex effects
Stress models

Chronic stress battery assessment

Pre- and post-stress behavioral profiles quantify the breadth and severity of stress-induced behavioral changes.

Measures
  • Pre/post profile shift
  • Number of affected indices
  • Recovery trajectory
Compared to typical systems

How ConductVision differs

FeatureConductVisionTypical systems
Composite index calculationBuilt-in, automaticManual spreadsheet or custom scripts
Z-score normalizationAutomatic against control groupManual calculation
Multi-test profileIntegrated battery visualizationSeparate per-test reports
Standard indices included6 validated indices0-1 built-in
Group comparisonBuilt-in with effect sizesExternal software required

Integrated phenotyping across your behavioral battery

Upload results from multiple behavioral tests and generate composite indices automatically.