Clinical Pattern Detection System

BRAIN SYSTEMS ANALYSIS REPORT

System-level states are derived from aggregated pattern counts and severity weightings. They describe EEG regulatory behavior, not neurological diagnosis.

HOW TO READ THIS REPORT

This report summarizes EEG findings at the network (systems) level. It is intended to complement site-level and protocol reports.

• "Patterns" reflect rule-based EEG feature detections
• "Severity" reflects statistical deviation, not diagnosis
• "Health Scores" represent relative regulatory efficiency
• Clinical correlation is required for interpretation

SYSTEMS OVERVIEW

NETWORK-BY-NETWORK ANALYSIS

FRONTAL NETWORK — EXECUTIVE FUNCTION

Patterns Detected (46 total), clustered by theme:

• Alpha Regulation (16 detections)
• Attention / Executive (10 detections)
• Beta Regulation (8 detections)
• Other patterns (7 detections)
• Theta Regulation (3 detections)
• Sensorimotor (2 detections)

• Executive dysfunction possible
• Attention regulation issues
• Hypervigilance or anxiety patterns

• Network Balance: ✓ Relatively balanced (22 left, 20 right)

(Left–right comparisons are heuristic, based on relative pattern counts.)

CENTRAL NETWORK — MOTOR CONTROL

Patterns Detected (17 total), clustered by theme:

• Sensorimotor (8 detections)
• Alpha Regulation (4 detections)
• Attention / Executive (2 detections)
• Theta Regulation (1 detections)
• Other patterns (1 detections)
• Beta Regulation (1 detections)

• Network Balance: ✓ Relatively balanced (4 left, 4 right)

(Left–right comparisons are heuristic, based on relative pattern counts.)

PARIETAL NETWORK — SENSORY INTEGRATION

Patterns Detected (53 total), clustered by theme:

• Other patterns (16 detections)
• Beta Regulation (10 detections)
• Alpha Regulation (9 detections)
• Arousal / Hypervigilance (8 detections)
• Theta Regulation (6 detections)
• Sensorimotor (4 detections)

• Sensory integration challenges

• Network Balance: ✓ Relatively balanced (26 left, 26 right)

(Left–right comparisons are heuristic, based on relative pattern counts.)

OCCIPITAL NETWORK — VISUAL PROCESSING

Patterns Detected (17 total), clustered by theme:

• Other patterns (7 detections)
• Alpha Regulation (5 detections)
• Theta Regulation (4 detections)
• Arousal / Hypervigilance (1 detections)

• Visual processing or alpha generation issues

• Network Balance: ⚠️ Left hemisphere more affected (11 vs 6 findings)

(Left–right comparisons are heuristic, based on relative pattern counts.)

TEMPORAL NETWORK — MEMORY

Patterns Detected (12 total), clustered by theme:

• Other patterns (4 detections)
• Alpha Regulation (4 detections)
• Arousal / Hypervigilance (2 detections)
• Beta Regulation (2 detections)

• Network Balance: ✓ Relatively balanced (6 left, 6 right)

(Left–right comparisons are heuristic, based on relative pattern counts.)

CROSS-NETWORK RELATIONSHIPS

• Frontal and Central networks both show dysregulation - may suggest
• executive-attention network dysfunction

SYSTEMS-LEVEL INTERPRETATION

• 145 distinct patterns detected across analyzed networks
• Primary regulatory themes in parietal network
• Functional impact: Sensory integration, spatial processing, attention

Primary Regulatory Themes (most frequent patterns):

• Alpha suppression patterns
• Theta excess patterns
• Beta elevation patterns

• Patterns suggest network-level dysregulation
• Multiple networks may be affected
• Clinical correlation recommended to assess functional impact

NETWORK HEALTH SCORE METHODOLOGY

• Severe findings: -25 points each
• Moderate findings: -10 points each
• Mild findings: -3 points each

Average confidence slightly moderates the final score. (Lower confidence = less certainty about dysfunction → slight score increase)

Generated by EEG Paradox Decoder v1.0.4 Copyright (C) 2025 EEG Paradox Clinical System Contributors