New Brain Scans Can Spot PTSD
Neuroscientists think they may have found a scientific method to identify post-traumatic stress disorder (PTSD) using a brain imaging method called magnetoencephalography (MEG). In the test study, the scientists studied 74 vets with PTSD and 250 civilians without and were able to spot the PTSD sufferers with 90% accuracy. "MEG machines are a fast, sensitive and accurate way to measure electric activity in the brain. Whereas CT scans and MRIs record brain signals every few seconds, MEGs can do it by the millisecond, catching biomarkers and brain activity that the other tests inevitably miss. The study could be a breakthrough for the military, who've been scrambling to address a surge in post-traumatic symptoms among newly returning vets. Right now, troops are evaluated by mental health experts, but diagnosis is a crap-shoot: symptoms can take years to show up, and vary from person to person, even among those exposed to the same traumas. The Pentagon's already been pushing for more objective, systematized diagnosis tools, like portable at-home sleep monitors and genetic testing to detect PTSD vulnerability. They've even launched a program to create stress-mitigating pharmaceuticals."
So if you are in the 10% that doesn't get detected you're SOL? I hope they can increase the accuracy of this.
Sure, My university has a subscription. Let me give you the numbers:
Test subjects:
All 75 test group members had confirmed PTSD as the primary diagnosis, using the standard structured clinical interviews for PTSD. There were many variations as to cause of PTSD some from combat others from before they became soldiers. 69 test subjects were male, and 5 were women.
Control group:
250 members from the general public in the same age range as the test subjects. 151 men, 49 women.
Complete nurological histories, and multiple interview examinations were performed to help exclude general public members with latent PTSD.
The test with the paramters used by the team had the following results:
72 true positives.
2 false negatives.
31 false positives.
219 true negatives.
According to the paper this is .001 .765
97.3% Sensitivity
87.6% Specificity
92.4% Accuracy
Chi squared-statistic: 189.8
P value:
phi coefficient:
odds ratio: 254.3
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