We use cookies to understand how you use our site and to improve your experience. This includes personalizing content and advertising. To learn more, click here. By continuing to use our site, you accept our use of cookies. Cookie Policy.

Features Partner Sites Information LinkXpress
Sign In
Advertise with Us
GLOBETECH PUBLISHING LLC

Download Mobile App




Research Indicates Brain Imaging May Predict Response to Psychotherapy

By Andrew Deutsch
Posted on 23 Nov 2016
Print article
Image: Brain imaging could be used to help predict a patients’ response to psychotherapy (Photo courtesy of Naeblys/fotolia).
Image: Brain imaging could be used to help predict a patients’ response to psychotherapy (Photo courtesy of Naeblys/fotolia).
A review of current research on the topic indicates that brain scans may in the future be used to help clinicians predict the response to psychotherapy, of patients with various anxiety and depression-related disorders.

The review was published in the November/December 2016 issue of the journal Harvard Review of Psychiatry. For example, specific "neuroimaging markers" could be used to help predict whether a patient with Major Depressive Disorder (MDD) and similar diagnoses will respond well to psychotherapy, or whether they need psychotherapy, or even medications.

The researchers found 40 studies that included patients with various diagnoses such as MDD, Obsessive-Compulsive Disorder (OCD), and Post-Traumatic Stress Disorder. Some of the researchers used structural brain imaging, while others used functional scans that can visualize brain activity.

The studies found that psychotherapy response could be linked to activity in the amygdala and the anterior insula. Higher activity in the amygdala of patients with MDD indicated an increased likelihood of response to psychotherapy. Patients with anxiety disorders and less activity in the amygdala were also likely to have improved psychotherapy outcomes.

Lead author of the study, Dr. Trisha Chakrabarty, University of British Columbia (UBC; Vancouver, BC, Canada), said, "While some brain areas have emerged as potential candidate markers, there are still many barriers that preclude their clinical use. Future studies of psychotherapy response may focus further on these individual regions as predictive markers. Additionally, future biomarker studies may focus on pretreatment functional connectivity between these regions, as affective experience is modulated via reciprocal connections between brain areas such as the ACC and amygdala."

Related Links:
University of British Columbia

Gold Member
Solid State Kv/Dose Multi-Sensor
AGMS-DM+
DR Flat Panel Detector
1500L
New
Breast Imaging Workstation
SecurView
Portable X-Ray Unit
AJEX240H

Print article
Radcal

Channels

MRI

view channel
Image: 11.7 teslas (T) of magnetic field vs. 1.5 and 3 T for conventional MRI machines in hospitals (Photo courtesy of CEA)

World’s Most Powerful MRI Machine Images Living Brain with Unrivaled Clarity

The world's most powerful magnetic resonance imaging (MRI) scanner has generated its first images of the human brain, demonstrating new precision levels that could shed more light on the mysterious human... Read more

General/Advanced Imaging

view channel
Image: The Tyche machine-learning model could help capture crucial information. (Photo courtesy of 123RF)

New AI Method Captures Uncertainty in Medical Images

In the field of biomedicine, segmentation is the process of annotating pixels from an important structure in medical images, such as organs or cells. Artificial Intelligence (AI) models are utilized to... Read more

Imaging IT

view channel
Image: The new Medical Imaging Suite makes healthcare imaging data more accessible, interoperable and useful (Photo courtesy of Google Cloud)

New Google Cloud Medical Imaging Suite Makes Imaging Healthcare Data More Accessible

Medical imaging is a critical tool used to diagnose patients, and there are billions of medical images scanned globally each year. Imaging data accounts for about 90% of all healthcare data1 and, until... Read more
Copyright © 2000-2024 Globetech Media. All rights reserved.