Clinician Consulting Services

EEG/QEEG Analysis
Quantitative EEG Report
Independent Component Analysis (ICA)
Spike Seizure Analysis
Supervision
Understanding Brain Function Analysis, QEEG and 4-Channel Neurofeedback.

EEG/QEEG Analysis

  • High-Density qEEG

  • Dipole Localization

  • Effective Connectivity

What Brain Function Analysis Provides

A high‑resolution view of how neural networks activate, coordinate, and influence one another, allowing clinicians to identify the functional origins of cognitive, emotional, and behavioral symptoms.

Core Measures

32‑Channel qEEG

Objective measurement of cortical electrical activity.

32 channel qEEG brain mapping

Dipole Localization

Mathematical modeling to identify where dysregulation originates.

Effective connectivity

Effective Connectivity

Shows how brain regions influence one another and how network communication patterns support or disrupt regulation.

Medical imaging scan showing brain with labeled regions IC2, IC4, IC1

Effective Connectivity Over Time

Connectivity is dynamic. Tracking changes across the recording reveals how networks stabilize, fluctuate, or dysregulate during rest or task conditions.

Medical imaging scan showing a 3D color-coded model of a brain with labeled points C2, C3, and C4, used for analyzing brain activity or structures.
Medical imaging scan showing a 3D color-coded model of a brain with labeled points C2, C3, and C4, used for analyzing brain activity or structures.
Medical image of a brain with labeled regions and a color scale on the side.
Medical image of a brain with labeled regions and a color scale on the side.
Medical imaging scan showing a cross-section of a brain with labeled regions IC2, IC3, and IC4, along with measurement lines and color-coded intensity scales.
Medical imaging scan showing a cross-section of a brain with labeled regions IC2, IC3, and IC4, along with measurement lines and color-coded intensity scales.

Clinical Value

  • Identifies neural mechanisms underlying symptoms

  • Links qEEG to presenting symptoms and/or neuropsychological performance

  • Reveals network inefficiencies affecting regulation

  • Guides individualized, brain‑based treatment planning

EEG Processing Workflow

How Raw EEG Becomes Actionable Clinical Insight

Step 1: EEG Cleaning

Removal of eye blinks, muscle activity, movement, and electrical noise.

An electrocardiogram (ECG) showing multiple heartbeat waveforms on a grid.
An electrocardiogram (ECG) showing multiple heartbeat waveforms on a grid.
Electrocardiogram (ECG) printout showing multiple waveform traces on a grid background.

Step 2: Independent Component Analysis (ICA)

Separates mixed signals into independent neural and non‑neural components.

Six colored topographical maps of human brains, arranged in two rows of three. Each map is labeled with a different number and indicating the percentage of brain activity. The diagrams use color gradients from blue to red to depict varying activity levels.
Six colored topographical maps of human brains, arranged in two rows of three. Each map is labeled with a different number and indicating the percentage of brain activity. The diagrams use color gradients from blue to red to depict varying activity levels.

Step 3: Dipole Localization

Identifies the cortical origin of each ICA component.

MRI brain scan with colored markers indicating different brain regions and their respective relative volume percentages, labeled with component codes.
MRI brain scan with colored markers indicating different brain regions and their respective relative volume percentages, labeled with component codes.

Step 4: Multivariate Effective Connectivity Analysis

Quantifies communication between brain regions to reveal:

  • Over‑connectivity

  • Under‑connectivity

  • Network mis‑coordination

Four panels showing brain activity maps with colored connectivity lines between regions labeled IC2, IC3, IC5, and IC6, with color scales indicating connectivity strength and output. A small 3D sphere and pill icons are also present.

EEG/qEEG Analysis

Understanding how the brain functions requires more than observing symptoms or performance — it requires measuring how neural networks communicate, coordinate, and regulate activity. Our Brain Function Analysis uses high-density EEG and advanced computational tools to map these patterns with exceptional precision. Through this process, we examine the electrical activity of the brain, identify where dysregulation originates, and determine how different regions interact. This gives us a detailed, objective view of the neural architecture underlying cognitive, emotional, and behavioral functioning

absolute power EEG qEEG

Absolute Power

relative power EEG qEEG

Relative Power

eLoreta

Color-coded circular diagram with a spectrum from red to blue, labeled 'Component2', adjacent to a graph with a peak, and a variance percentage of 24.6%.
Overlay of brain scans showing current density distribution, with highlighted maximum activity in the cingulate gyrus, based on eLORETA analysis on a sagittal and axial views.

sLoreta

Three brain scans showing activated regions in the brain, with highlighted areas in yellow, orange, and red indicating activity.
Series of brain scan images showing different slice levels, with some highlighted areas in red, yellow, and orange indicating brain activity or regions of interest.

What We Measure

  • 32-Channel QEEG

Captures real-time electrical activity across the cortex, revealing patterns of over-or-under-activation, network inefficiencies, and markers of dysregulation.

  • Source Localization

Uses mathematical modeling to identify where in the brain these patterns originate — pinpointing the specific regions and networks contributing to symptoms

  • Multivariate Coherence Analysis

Examines how brain regions communicate with one another. This analysis shows whether networks are overly connected, under-connected, or mis-coordinated, providing insight into functional integration and regulation.

Why This Matters

  • This level of precision allows us to:

    • Identify the neural mechanisms driving cognitive, emotional, and behavioral symptoms

    • Understand how networks coordinate — or fail to coordinate — during tasks and daily functioning

    • Connect QEEG findings directly to neuropsychological performance and clinical presentation

    • Design interventions that target the specific networks responsible for dysregulation

By integrating these advanced analyses, we move beyond surface-level symptoms to uncover the underlying neural pathways that shape functioning.

This forms the foundation for highly individualized, brain-informed treatment planning.

Professional Consultation & Supervision

Case‑based consultation for clinicians seeking deeper interpretation of qEEG findings, network dysregulation, and integration with neuropsychological or clinical presentations.

Areas of consultation include:

  • QEEG analysis

  • Interpretation

  • Case conceptualization

  • Protocol development

  • Support for clinics, training programs, and research teams implementing advanced EEG‑based approaches