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Brain And Gut Signals May Predict Antidepressant Response Early
Researchers studied whether signals from the brain and stomach could show if an antidepressant is working.
They used EEG to measure brain activity and EGG to measure stomach activity.
They also recorded patients’ depression symptoms.
The measurements were taken when treatment started and again about a week later.
The researchers found that these signals could help identify people who might not respond to the medicine.
This could give doctors useful information sooner than the usual four to six weeks.
The model was fairly accurate when tested on a separate group of patients.
More research is needed before this method can be widely used.
Researchers from IIT Kanpur and Ganesh Shankar Vidyarthi Memorial Medical College studied brain and stomach electrical signals alongside depression symptoms.
Signals recorded during the first 7-10 days of treatment helped identify patients unlikely to respond to an antidepressant.
The study included 206 participants, including 144 treatment-naive patients with depression.
During development, the predictive model showed 84% sensitivity and 78% specificity for identifying non-responders.
On an independent patient group, the model reached 77.3% overall accuracy, but researchers said larger and more diverse studies are needed.
- Who
- Researchers from the Indian Institute of Technology Kanpur and Ganesh Shankar Vidyarthi Memorial Medical College, including Pragathi Priyadharsini Balasubramani and Amal Jude Ashwin Francis.
- What
- They developed and tested a model using brain and stomach electrical signals, together with clinical symptoms, to predict antidepressant response.
- Where
- The research was conducted by teams from IIT Kanpur and Ganesh Shankar Vidyarthi Memorial Medical College.
- When
- Signals were recorded at the start of treatment and again within about 7-10 days; the findings were published in Frontiers in Psychiatry.
- Why
- The goal was to identify likely non-responders earlier than the conventional four-to-six-week assessment period and support more personalized treatment.
Key facts
- Participants
- 206 people, including 144 treatment-naive patients with depression
- Measurements
- Electroencephalography (EEG), electrogastrography (EGG), and clinical symptom data
- Early assessment window
- Within the first 7-10 days after starting treatment
- Development performance
- 84% sensitivity and 78% specificity for identifying non-responders
- Independent testing
- 77.3% overall accuracy, with 80% specificity and 71.4% sensitivity
- Publication
- Frontiers in Psychiatry
- Research limitation
- The researchers said larger and more diverse patient groups are needed for validation
Quotes
Pragathi Priyadharsini Balasubramani
Assistant professor in IIT-Kanpur’s department of cognitive science and an author of the study
“We found that different symptom profiles were associated with distinct patterns of brain and gut physiology linked to treatment outcomes. Recognising these biological subtypes helps explain why patients respond differently to the same medication and facilitates personalised treatment strategies”
NDTV
“Our study shows that objective non-invasive brain and gut electrophysiological signals collected in about the first week of treatment already contain valuable information about treatment response to precisely guide the intervention”
NDTV
Sources
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