🧠 Theta–Beta Ratio (TBR) in ADHD — Science, Strengths & Why It Sometimes Misleads

Theta–beta ratio (TBR) is one of the most talked-about EEG markers in ADHD diagnosis. Some call it “brain’s fingerprint of inattention,” while others argue it has led to over-diagnosis. The truth lies somewhere in between — TBR is useful, but only when used the right way.

🌩️ What Exactly Is TBR?

  • Theta waves (4–8 Hz) → Seen during drowsiness, inattention, mind-wandering.

  • Beta waves (13–30 Hz) → Associated with alertness, focus, cognitive effort.

  • TBR = Theta power ÷ Beta power (usually measured at Cz or Fz electrode).

Higher TBR = lower cortical arousal, which was historically linked to ADHD-inattentive type.

✅ Where TBR Works Well

Where It Helps Why It Matters
Supports ADHD diagnosis when combined with clinical evaluation Adds objectivity instead of relying only on symptoms reported by parents/teachers.
Predicts response to stimulants or neurofeedback therapy High TBR often correlates with better response to methylphenidate and EEG neurofeedback.
Measures treatment progress A decrease in TBR after neurofeedback, rTMS, or medication suggests improved cortical activation.
Useful in research & controlled lab settings When age, alertness and EEG artifacts are controlled, TBR can show reliable group differences.

❌ What Causes False or Misleading TBR?

TBR is not ADHD-specific. Many conditions increase or decrease this ratio — leading to false diagnoses if used alone.

⚠️ Factor ⚠️ How It Misleads
Sleep deprivation, boredom, drowsiness during EEG Increases theta → falsely high TBR.
Anxiety, stress, hyperarousal Increases beta → artificially lowers TBR.
Depression, autism, learning disorders, epilepsy May show high TBR despite no ADHD.
Medications (benzodiazepines, antipsychotics, sedatives) Alter brain rhythms, making TBR unreliable.
Eye blinks, muscle tension, poor electrode contact Create artefacts mistaken for true theta/beta activity.
Age-related changes TBR is naturally higher in children and drops with age → using one cutoff for all ages is inaccurate.
Using TBR as the only diagnostic test ADHD is heterogeneous. Only ~30–40% of ADHD cases show high TBR.

🧬 What Do Recent Studies Say?

  • Early 2000s: TBR was considered a strong biomarker for ADHD.

  • Post-2015 research shows mixed results.

  • Large datasets (Loo et al. 2013, Arns 2018) show sensitivity ~60–70% and specificity ~50–60%.

  • FDA-approved NEBA test allows TBR use only as a confirmatory tool, not a diagnostic replacement.

🎯 So How Should We Use TBR in 2025?

Right way:
✔ Combine with DSM-5/ICD-11 clinical evaluation
✔ Add behavioral tests like CPT, QbTest, MOXO-CPT
✔ Rule out sleep deprivation, anxiety, autism, depression
✔ Use TBR to plan neurofeedback / rTMS protocols
✔ Track before–after treatment changes, not label people

Wrong way:
✖ Diagnosing ADHD using only EEG values
✖ Ignoring sleep, medication or emotional state during EEG
✖ Using one cut-off value for all ages and populations

🔭 The Future – Moving Beyond Single Biomarkers

The future of ADHD evaluation is multi-modal, data-driven and personalized.

🧬 EEG + fNIRS (prefrontal oxygenation)
🎧 QbTest / MOXO reaction time variability
📊 AI-based machine learning models
📡 Digital phenotyping (actigraphy, heart rate variability)
🧪 Blood-based inflammatory/genetic markers (research phase)

TBR will remain useful — but only as one piece in a much larger puzzle.

✨ Author

🩺 Dr. Srinivas Rajkumar T
MD (AIIMS New Delhi), DNB, MBA (BITS Pilani)
Consultant Psychiatrist – Mind & Memory Clinic
Apollo Clinic (Opp. Phoenix MarketCity), Velachery, Chennai

📞 +91-8595155808
🌐 www.srinivasaiims.com

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