Nature BME: Identify mental disorder subsypes from the electro-encephalogram functional connection pattern in a resting state.

Psychiatric diagnoses are defined based on the clinical manifestations of symptoms designed to describe healthy individuals and other specific conditions for diagnosis.
For example, post-traumatic stress disorder (PTSD) involves a range of emotional, cognitive, and physical symptoms that may occur after a person has experienced or witnessed a traumatic event that causes serious injury or threat to an individual.
, severe depressive disorder (MDD) is characterized by persistent negative emotions, usually associated with physical, psychological, or social stress factors.
traditional method of studying the neurobiology of mental illness has followed this diagnostic framework, comparing all confirmed patients with healthy people through case-controlled studies.
, however, this approach failed to achieve the desired biomarkers due to the high level of biosothogeneity between patients with the same diagnosis and the health control group.
, however, in both cases, differences in neurobiology are independent of clinical symptoms, which supports the potentially unique value of neurobiology in defining clinically relevant "disease subseconds".
these subsypes may also be present in traditional psychiatric diagnoses.
: The study involved 201 participants, 106 of whom had PTSD and 95 other health subjects who had suffered trauma.
are combat veterans who served in Iraq, Afghanistan and Operation New Dawn.
psychiatric diagnosis is based on the use of capS65 mental disorder diagnosis and statistics manual (DSM)-V standard, as well as the use of DSM-IV (SCID)66 structured clinical interviews for other diagnosis.
all diagnoses are confirmed at a clinical meeting.
the history of traumatic brain injury based on whether loss of consciousness occurred after combat-related head trauma.
addition to CAPS and SCID, participants completed BDI assessment of depressive symptoms and passed the WhoQOL assessment function.
records the patient's rsEEG data, resting state fMRI.
functional magnetic resonance imaging pre-processing.
the T1 weighted image is corrected for intensity unevenness, and then the skull is stripped.
used FSL72 to separate brain tissue from extracted T1-weighted images.
use the brain extraction version of T1-weighted images and templates to achieve volume-based spatial normalization through nonlinear notation.
: Two replicable subsypes of the disease were found, which were evident in two major psychiatric groups, PTSD and MDD.
Although the four subtypes in the study focused on no difference in baseline clinical severity, their clinical outcomes were indeed different in psychotherapy (for PTSD) or antidepressant and placebo (MDD) treatment.
type 2, the PEC model was more different from that of the healthy control group, and the response to both treatments was not very good.
, rTMS therapy and psychotherapy are equally effective in both subsypes (MDD).
.
most notable, in the iSPOT-D study, a more complete DMN connection predicted better treatment outcomes for antidepressant therapy, while more interfering DMN connections predicted better results for rTMS35.
, however, unlike previous placebo treatments, we are presenting a different subsype here than a placebo.
, our findings are related to the identification of subtypes of mental illness and potential clinical translatability.
: Neurobiological biomarkers of clinically relevant subtypes were identified from rsEEG-PEC, and the data-driven method of sparse clustering was used to clarify the severe heterogeneity of psychopaths.
, the discovery of subtypes provides a widely available way to determine neurobiological heterogeneity associated with the treatment of mentally ill patients.
Zhang, Y., Wu, W.Toll, R.T. et al. Character of psychiatric disorder subtypes from functional connectivity patterns in resting-state electroenography. Nat Biomed Eng (2020). MedSci Original Source: MedSci Original Copyright Notice: All text, images and audio and video materials on this website that indicate "Source: Mets Medicine" or "Source: MedSci Original" are owned by Mets Medicine and are not authorized to be reproduced by any media, website or individual, and are authorized to be reproduced with the words "Source: Mets Medicine".
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