Research at a Glance

Research Findings In Clear Language

Can blood samples help predict how well someone will respond to antidepressant medications?
Can brain activity predict responses to medication and therapy for depression?
Can Genetic Risk Scores Help Explain How People With Depression Respond to Antidepressants?
Can Interactions Between Depression Symptoms Help Predict Relapse?
Can machine learning be used as a tool to predict depression treatment outcomes using brain activity?
Can Sleep and Activity Patterns Help Predict Relapse in Depression?
Childhood Maltreatment and Cognitive Functioning in Patients with Major Depression
CHOICE‑D: Empowering Patients with a Plain-Language Guide to Depression Treatment
Could Childhood Experiences and Brain Patterns Predict Depression Outcomes?
Could Socioeconomic Status Explain Differences in Brain Function and Treatment Outcomes?
Deciphering the Relationship Between Brain Structure and Epigenetics in Depression
Do insomnia symptoms affect antidepressant treatment in depression?
How CAN-BIND Is Using Brain Waves to Unlock Better Depression Treatments
Is depression associated with changes in brain connections?
Mid-study report on the CAN-BIND-1 study for personalizing depression treatment
Podcast Summary: Artificial Intelligence and Mental Health [Part 1]
Podcast Summary: Artificial Intelligence and Mental Health [Part 2]
Predicting Antidepressant Response with Brain Scans and Artificial Intelligence
Q&A: Childhood Maltreatment and Cognitive Functioning in Patients with Major Depression
Understanding Depression Public Talk Summaries
Understanding Depression Public Talk Summaries
Understanding Depression Public Talk Summaries
Wellness Under Watch: Using Wearables and Data to Catch Depression Early
Q&A: Hippocampal tail volume as a predictive biomarker of antidepressant treatment

Research Findings In Clear Language

Can blood samples help predict how well someone will respond to antidepressant medications?
Can brain activity predict responses to medication and therapy for depression?
Can Genetic Risk Scores Help Explain How People With Depression Respond to Antidepressants?
Can Interactions Between Depression Symptoms Help Predict Relapse?
Can machine learning be used as a tool to predict depression treatment outcomes using brain activity?
Can Sleep and Activity Patterns Help Predict Relapse in Depression?
Childhood Maltreatment and Cognitive Functioning in Patients with Major Depression
CHOICE‑D: Empowering Patients with a Plain-Language Guide to Depression Treatment
Could Childhood Experiences and Brain Patterns Predict Depression Outcomes?
Could Socioeconomic Status Explain Differences in Brain Function and Treatment Outcomes?
Deciphering the Relationship Between Brain Structure and Epigenetics in Depression
Do insomnia symptoms affect antidepressant treatment in depression?
How CAN-BIND Is Using Brain Waves to Unlock Better Depression Treatments
Is depression associated with changes in brain connections?
Mid-study report on the CAN-BIND-1 study for personalizing depression treatment
Podcast Summary: Artificial Intelligence and Mental Health [Part 1]
Podcast Summary: Artificial Intelligence and Mental Health [Part 2]
Predicting Antidepressant Response with Brain Scans and Artificial Intelligence
Q&A: Childhood Maltreatment and Cognitive Functioning in Patients with Major Depression
Understanding Depression Public Talk Summaries
Understanding Depression Public Talk Summaries
Understanding Depression Public Talk Summaries
Wellness Under Watch: Using Wearables and Data to Catch Depression Early
Q&A: Hippocampal tail volume as a predictive biomarker of antidepressant treatment

Research Findings In Clear Language

The Canadian Biomarker Integration Network in Depression (CAN-BIND) is a national program of research and learning. CAN-BIND is discovering ways to identify the right treatment for the right person in order to help individuals with depression get well quickly, and stay well.

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