Trending Now - Scientists Identify Brain Cells Linked to Depression for First Time

WHO:

Science Daily - Researchers have identified two specific types of brain cells linked to depression.

Neuroscience News - The research team includes members from Boston University’s Chobanian & Avedisian School of Medicine, College of Arts & Sciences, College of Engineering, and Faculty of Computing & Data Sciences.

Neuroscience News - Chandramouli (Chand) Chandrasekaran, PhD, is the corresponding author of the study.

WHAT:

Science Daily - Scientists found changes in neurons linked to mood and stress, as well as in immune-related microglia cells in individuals with depression.

Neuroscience News - The PhysMAP tool can identify specific neuron types implicated in psychiatric disorders, including schizophrenia and major depressive disorder.

Neuroscience News - PhysMAP allows for the study of interacting cell types in both intact and altered neural circuits.

WHERE:

Neuroscience News - The research was conducted at Boston University.

WHEN:

Neuroscience News - The findings were published in the journal Nature Communications in 2026.

WHY:

Science Daily - The identification of these brain cells reinforces that depression is rooted in biology, not just emotions.

Neuroscience News - Understanding specific cell types is crucial for developing next-generation psychiatric therapies.

HOW:

Science Daily - Researchers analyzed donated brain tissue using advanced genetic tools.

Neuroscience News - PhysMAP uses machine learning to distinguish between different types of neurons based on their unique electrical signatures.

Neuroscience News - The tool was trained and validated using seven public datasets, allowing it to identify cell types in living brains without genetic manipulation.

(UPDATED April 23, 2026 19:24 UTC)

Researchers at Boston University have identified two specific types of brain cells linked to depression, revealing changes in neurons associated with mood and stress, as well as immune-related microglia cells in individuals suffering from the condition. The study, published in the journal Nature Communications, utilized an advanced tool called PhysMAP, which employs machine learning to distinguish between different neuron types based on their electrical signatures, offering insights into psychiatric disorders like schizophrenia and major depressive disorder. This groundbreaking research underscores that depression is rooted in biology, emphasizing the importance of understanding specific cell types for developing next-generation psychiatric therapies.