Better response to cognitive behavioral therapy linked to greater activation in certain areas of brain
WEDNESDAY, Sept. 2, 2020 (HealthDay News) — Brain scans may predict which type of therapy will be most effective for obsessive-compulsive disorder (OCD) in teens and adults, according to a study published online Aug. 28 in The American Journal of Psychiatry.
Luke J. Norman, Ph.D., from University of Michigan in Ann Arbor, and colleagues randomly assigned 87 patients with OCD (age range, 12 to 45 years; 57 women) to receive 12 weeks of cognitive behavioral therapy (CBT) or stress management therapy (SMT; active control). Before treatment, functional magnetic resonance imaging scans were conducted in patients performing an incentive flanker task.
The researchers found that within the CBT group, a better treatment response was significantly associated with greater pretreatment activation within the right temporal lobe and rostral anterior cingulate cortex during cognitive control and within the ventromedial prefrontal, orbitofrontal, lateral prefrontal, and amygdala regions during reward processing. Reduced pretreatment activation within an overlapping set of regions was significantly associated with a better treatment response to SMT.
“Such treatment-specific associations are important for the development of biomarkers to personalize treatment in OCD,” the authors write.
One author disclosed financial ties to the pharmaceutical industry.
Abstract/Full Text (subscription or payment may be required)
Brain Abnormalities Identified in Children at Risk for Schizophrenia
Cortical Atrophy in Early-Onset Alzheimer Disease Signature Can Predict Progression to Dementia
Real-World ARIA Incidence With Lecanemab Aligns With Clinical Trial Findings
Imaging Turnaround Time Increased From 2023 to 2024
Weight Cycling Linked to Increased Loss of Muscle Volume
Preoperative MRI Predicts CKD Development After Nephrectomy for Solid Renal Mass
Contralateral Endolymphatic Hydrops ID"d in One in Four Patients With Unilateral Meniere Disease
Volume Rendering of Myocardium, Cardiac Valves Enables Visualization