特質(zhì)焦慮個(gè)體的注意偏向和注意控制特點(diǎn)及其認(rèn)知神經(jīng)機(jī)制研究
[Abstract]:AIM: Trait anxiety tends to induce individual attention bias toward threatening stimuli, and this negative attention bias plays a central role in the occurrence and development of anxiety and anxiety disorders. In addition, the relationship between trait anxiety and attention bias may be regulated by attention control. Therefore, attention bias and attention control of trait anxiety individuals become the focus of this study. Three groups of subjects, low trait anxiety (LTA), high trait anxiety (HTA) and generalized anxiety disorder (GAD), were tested in order to clarify the different application scope of anxiety neurocognitive model and attentional control theory, and to clarify the individual trait anxiety at different levels. Methods: (1) Using the emotional space-cue attention paradigm, the stimulus spacing between cues and stimuli was set at 50 ms and 800 ms to investigate the characteristics of attention bias and its temporal variation in different levels of trait anxiety, and to analyze resting state EEG. The asymmetry of alpha waves in the prefrontal region reveals the underlying neural mechanisms. (2) Study 2 and Study 3 examined the characteristics of distraction inhibition and conflict adaptation in normal subjects with high, low trait anxiety and clinical anxiety disorder under emotional and non-emotional Flanker tasks, and paid attention to Bishop's anxiety neurocognitive model and Eysenck's attention. Control theory was validated. (3) In study 4, single-task emotional Flanker test and two-task emotional Flanker test were used to investigate the attention-switching function and potential cognitive neural mechanism of trait anxiety individuals at different levels. There was no significant difference between LTA group and HTA group (p = 0.898) in response time between p0.001 and HTA group (381.24 (+ 12.92), but there was no significant difference between LTA group and HTA group (p = 0.898). The results of resting state EEG showed that anxiety could significantly predict the asymmetry of alpha waves in the prefrontal region under depression control; the differences between groups showed that GAD patients were significantly higher than LTA, while HTA patients had a lower degree of alpha wave lateralization, i.e. a lower activation level in the left cerebral region. Flanker EEG study found that the response time of GAD group was longer than LTA group (632.98+19.81, p0.001) and HTA group (655.11+17.71, p0.001). The error rate of GAD group (2.51+0.40) was higher than LTA group (1.40+0.31, p=0.038) and HTA group (1.37+0.31, p=0.027). In inconsistent trials, compared with LTA group and HTA group, the N2 latency of GAD group was higher. Compared with LTA group, P3 amplitude of HTA group and GAD group was significantly lower. Both HTA group and GAD group showed poor conflict adaptation in behavior and N2 components. (3) Non-emotional Flanker EEG test showed that the response time of GAD group (619.69 1) There was no significant difference between HTA group and LTA group (p = 0.945), but there was no significant difference between LTA group and HTA group (p = 0.001) and between LTA group and HTA group (p = 0.001). The latency of N2 component (265.89 +5.45) was longer in LTA group (243.70 +5.45, P = 0.005, P = 0.005) and HTA group (252.54 +4.78, P = 0.070) than in LTA group (243.70 +5.45, P = 0.45, P = 0.005) and HTA group (252.54 +4.54 +4.78, P = 0.78, P = 0.070). The amplitudeof P3 (4.94 [(4.94 +0.86) in GAD group was significantly lower than that in LTA group (9.10 [(9.10 +0.86, P = 0.86, P = 0.86, P = 0.001 Responses of the GAD group to the task The error rate of GAD group was significantly higher than that of LTA group (3.05 + 0.52, P 0.001) and HTA group (3.05 + 0.52, P 0.001) and LTA group (719.88 + 127.87, P 0.001) and HTA group (719.88 + 127.87, P 0.001) and HTA group (736.76 [106.76 [106.72, P 0.72, P 0.001, P 0.001); the error rate of GAD group (5.38 [(5.38 [(0.63) was significantly higher than LTA group (3.38.38 [(3.38 [(3.38 [0.38] [0.63) significantly higher than LTA group (3.05 [(3.HTA group ( There was no significant difference in EEG parameters among the three groups. (5) In the emotional space-cue task, the response time variability of GAD patients was significantly higher than that of LTA patients (3.07 0.62, P = 0.012) and HTA patients (2.96 0.63, P = 0.001), but there was no significant difference between LTA and HTA patients (p = 0.487). Similar results were obtained in the R test, the non-emotional Flanker test and the dual-task emotional Flanker test. Conclusion: (1) In the late attention processing stage, the subjects with high trait anxiety had attention fixation on negative stimuli, and the patients with anxiety disorder had attention avoidance. Low is closely related to negative attention avoidance. (2) In clinical GAD patients, both emotional and non-emotional stimuli show poor conflict adaptation, low attention inhibition and switching ability, and insufficient top-down attention control. High trait anxiety and low attention control may be the underlying causes of clinical anxiety disorder. Neurocognitive model can better explain the attention characteristics of patients with clinical anxiety disorder, while attention control theory is more suitable for normal people with high trait anxiety. Variability is an important indicator of attention control, which can better distinguish the patients with clinical anxiety disorder from the normal population, and has the stability of cross-experimental paradigm and experimental materials.
【學(xué)位授予單位】:第三軍醫(yī)大學(xué)
【學(xué)位級(jí)別】:博士
【學(xué)位授予年份】:2017
【分類號(hào)】:B842
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