The current study aims to evaluate the sensitivity and specificity of a combination of various objective biomarkers for the diagnosis of PTSD.
PTSD affects a major fraction of military combatants and is also very common in the general population. Like other psychiatric conditions, the diagnosis of PTSD is currently based on an interview and questionnaires. However, the validity of these tools is limited since it depends on the evaluator's skills, and on patient compliance and mental status; and may be prone to exaggeration or minimization of symptoms. This prompts an urgent need for evaluation that will combine biomarkers for objective diagnosis, and follow up of individuals with PTSD. Knowledge has grown in recent years regarding the biologic pathophysiological cascade responsible for the development of a "non-healing wound in the brain" that characterizes PTSD. Shortly after the traumatic experience, fundamental changes in autonomic nervous and endocrine activity are evident, together with changes in brain function; these can become chronic in those with long-standing unremitting PTSD. Several studies indicate good correlations of the diagnosis and severity of PTSD, with objective biological measures such as heart rate variability (HRV), brain connectivity and endocrine activity. However, the currently available data on these biological variables are still not sufficient to be used for diagnosis of PTSD. The aim of the current study is to characterize the biological fingerprint of PTSD, by using a combination of biological measures, for an objective diagnosis.
Study Type
OBSERVATIONAL
Enrollment
300
PTSD diagnosis and severity will be done using the CAPS-5 questionnaire.
depression symptoms will be measured by the BDI-II. The BDI-II consists of 21 items and uses a 0 to 3 severity scale. Total scores range from 0 to 63, with higher scores indicating more severe depression.
The FIQ was developed from information gathered from patient reports, functional status instruments and clinical observations. This instrument measures physical functioning, work status (missed days of work and job difficulty), depression, anxiety, morning tiredness, pain, stiffness, fatigue and well-being over the past week.
Assaf-Harofeh Medical Center
Ramla, Israel
RECRUITINGcorrelation between CAPS score and mean heart rate variability
the correlation between CAPS score and mean heart rate variability will be evaluated
Time frame: at baseline
correlation between CAPS score and fronto-limbic connectivity
the correlation between CAPS score and fronto-limbic connectivity will be evaluated using DTI
Time frame: at baseline
correlation between CAPS score and frontal activity
the correlation between CAPS score and frontal activity will be evaluated using BOLD MRI
Time frame: at baseline
correlation between CAPS score and depression score
the correlation between CAPS score and depression score will be evaluated using back depression inventory
Time frame: at baseline
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sleep patterns will be measured using the PSQI. This index assesses the quality and patterns of sleep in adults. It differentiates "poor" from "good" sleep quality by measuring seven components: subjective sleep quality, sleep latency, sleep duration, habitual sleep efficiency, sleep disturbances, the use of sleeping medications and daytime dysfunction over the last month. Items are rated using a 0 to 3 scale. The component scores are summed to produce a global score (range 0 to 21). Higher scores indicate worse sleep quality.
The DASS-21 is a three-scale self-report questionnaire designed to measure the emotional state of depression, anxiety and stress. Each scale contains 7 items, divided into subscales with similar content. Scores range between 0 and 21 in each subcategory.
The TEQ examines experiences of traumatic events (e.g. sexual abuse, accidents and crime) that are considered potential triggers of PTSD symptoms. To assess trauma intensity, respondents provide information for each event that was experienced, as well as their age at the time of the event. The items are measured on a 9-point Likert scale from "not at all" to "severely/extremely". The TEQ has previously been used in Israel.
The CADSS is a 28-item structured clinical interview to assess state dissociation.
A diary will be used for seven consecutive nights for the evaluation of: * Mean sleep latency * The number and duration of awakenings. * Subjective total sleep time * Subjective wake after sleep onset * Sleep efficiency
Brain imaging will include DTI and resting state for structural and functional MRI scanning. Images will be acquired on MAGNETOM Vida 3T Scanner, configured with 64-channel receiver head coils (Siemens Healthcare, Erlangen, Germany) at the Department of Radiology at Shamir Medical Center.
Functional magnetic resonance imaging (fMRI) is widely used to study the operational organization of the human brain. This technology measures brain activity by detecting changes associated with blood oxygenation, using blood-oxygen-level-dependent imaging (BOLD) contrast.
EEG will be obtained using a point-of care device that consists of an EEG-Sense Headset, EEG-Sense Single-Use brush sensors, a pneumatic sensor positioning mechanism, EEG sampling electronics and software. The EEG-Sense Headset is an EEG electrode positioning system that quickly places electrodes in a uniform and consistent manner, to transfer electrophysiological EEG signals from an individual to a suitable EEG data collection device. The device is nonsterile, non-invasive and non-radiation emitting, and was developed for use in healthcare facilities and hospitals. Typical set-up and procedure time is several minutes. The device does not contain biologics, drugs, coatings or any claim of sterility. The EEG-Sense Single-Use brush sensors are made from well-established medical-grade materials; the Headset is made from Nylon 101. Electronic components and harnesses are embedded between two layers of nylon and are attached to each electrode port.
Data will be collected using Empatica's E4 wristband. Each of the study participants will wear the wristband for 7 days. Data collected from the band will include: ACC - Data from 3-axis accelerometer sensor in the range \[-2g, 2g\]. (sampled at 32 Hz) BVP - Data from photoplethysmography (PPG). (sampled at 64 Hz) EDA - Data from the electrodermal activity sensor in μS. (sampled at 4 Hz) IBI - Inter-beat intervals. (intermittent output with 1/64 second resolution) TEMP - Data from temperature sensors, expressed in degrees on the Celsius (°C) scale. (sampled at 4 Hz)