心理学报 ›› 2024, Vol. 56 ›› Issue (1): 44-60.doi: 10.3724/SP.J.1041.2024.00044
收稿日期:
2023-04-23
发布日期:
2023-11-23
出版日期:
2024-01-25
通讯作者:
杨周
E-mail:yangz@swu.edu.cn
基金资助:
YANG Zhou1(), ZHU Jia-Wen1, SU Lin1, XIONG Ming-Jie2, JACKSON Todd3
Received:
2023-04-23
Online:
2023-11-23
Published:
2024-01-25
Contact:
YANG Zhou
E-mail:yangz@swu.edu.cn
摘要:
使用点探测视觉任务和融入真实疼痛刺激的视觉任务, 以疼痛−中性、中性−中性图片为实验材料, 采用眼动追踪技术, 测量慢性疼痛患者对疼痛线索的动态注视偏向指标, 并进一步考察这些指标对6个月后慢性疼痛强度和功能损伤变化的预测作用。研究发现, 点探测视觉任务中, 慢性疼痛患者在前3个时间窗上(0~500 ms、500~1000 ms、1000~1500 ms)对疼痛线索的注视偏向显著高于对中性线索的注视偏向, 但在第四个时间窗上(1500~2000 ms)不存在差异; 融入真实疼痛刺激的视觉任务中, 慢性疼痛患者在4个时间窗上对疼痛线索的注视偏向均显著高于对中性线索的注视偏向。分层标准多元回归模型和机器学习回归模型均发现, 慢性疼痛患者在两个任务中对疼痛线索的晚期注视偏向(1000~1500 ms、1500~2000 ms两个时间窗), 均可以独立预测6个月后慢性疼痛强度和功能损伤的维持。研究结果表明, 尽管慢性疼痛患者对疼痛线索从注意早期就表现出注视偏向, 但是只有晚期的注视偏向能够预测慢性疼痛的维持。
中图分类号:
杨周, 朱嘉雯, 苏琳, 熊明洁. (2024). 对疼痛线索的晚期注视偏向预测慢性疼痛的维持:来自眼动的证据. 心理学报, 56(1), 44-60.
YANG Zhou, ZHU Jia-Wen, SU Lin, XIONG Ming-Jie, JACKSON Todd. (2024). The gaze biases towards pain-related information during the late stages predict the persistence of chronic pain: Evidence from eye movements. Acta Psychologica Sinica, 56(1), 44-60.
线索类型 | 时间窗1 0~500 ms M (SD) | 时间窗2 500~1000 ms M (SD) | 时间窗3 1000~1500 ms M (SD) | 时间窗4 1500~2000 ms M (SD) | |
---|---|---|---|---|---|
任务1: 点探测视觉任务 | |||||
疼痛−中性图片 | |||||
疼痛图片 | 82.52 (27.96) | 264.47 (61.59) | 226.26 (60.44) | 211.80 (58.31) | |
中性图片 | 63.81 (28.87) | 148.23 (43.71) | 181.20 (54.15) | 193.30 (59.40) | |
疼痛线索注视偏向 | 18.70 (22.23) | 116.24 (73.37) | 45.06 (83.36) | 18.50 (83.71) | |
中性−中性图片 | |||||
中性图片 | 74.17 (25.49) | 203.60 (41.48) | 204.95 (43.78) | 208.16 (43.82) | |
中性图片 | 72.57 (23.49) | 206.10 (38.67) | 206.00 (44.34) | 197.80 (44.66) | |
中性线索注视偏向 | 1.59 (15.11) | −2.50 (29.84) | −1.05 (44.90) | 10.36 (40.77) | |
任务2: 融入真实疼痛刺激的视觉任务 | |||||
疼痛−中性图片 | |||||
疼痛图片 | 90.80 (29.75) | 271.43 (53.08) | 245.50 (56.90) | 227.85 (48.48) | |
中性图片 | 81.58 (33.05) | 163.98 (104.21) | 186.61 (57.43) | 193.80 (46.96) | |
疼痛线索注视偏向 | 9.23 (18.34) | 107.45 (124.90) | 58.88 (84.31) | 34.05 (74.51) | |
中性−中性图片 | |||||
中性图片 | 88.89 (30.15) | 212.06 (34.05) | 213.00 (36.28) | 208.85 (39.95) | |
中性图片 | 84.84 (32.74) | 207.99 (32.72) | 207.68 (36.53) | 205.18 (34.10) | |
中性线索注视偏向 | 4.05 (16.20) | 4.07 (28.89) | 5.33 (33.56) | 3.68 (38.06) |
表1 慢性疼痛患者对疼痛和中性线索的注视时间(ms)
线索类型 | 时间窗1 0~500 ms M (SD) | 时间窗2 500~1000 ms M (SD) | 时间窗3 1000~1500 ms M (SD) | 时间窗4 1500~2000 ms M (SD) | |
---|---|---|---|---|---|
任务1: 点探测视觉任务 | |||||
疼痛−中性图片 | |||||
疼痛图片 | 82.52 (27.96) | 264.47 (61.59) | 226.26 (60.44) | 211.80 (58.31) | |
中性图片 | 63.81 (28.87) | 148.23 (43.71) | 181.20 (54.15) | 193.30 (59.40) | |
疼痛线索注视偏向 | 18.70 (22.23) | 116.24 (73.37) | 45.06 (83.36) | 18.50 (83.71) | |
中性−中性图片 | |||||
中性图片 | 74.17 (25.49) | 203.60 (41.48) | 204.95 (43.78) | 208.16 (43.82) | |
中性图片 | 72.57 (23.49) | 206.10 (38.67) | 206.00 (44.34) | 197.80 (44.66) | |
中性线索注视偏向 | 1.59 (15.11) | −2.50 (29.84) | −1.05 (44.90) | 10.36 (40.77) | |
任务2: 融入真实疼痛刺激的视觉任务 | |||||
疼痛−中性图片 | |||||
疼痛图片 | 90.80 (29.75) | 271.43 (53.08) | 245.50 (56.90) | 227.85 (48.48) | |
中性图片 | 81.58 (33.05) | 163.98 (104.21) | 186.61 (57.43) | 193.80 (46.96) | |
疼痛线索注视偏向 | 9.23 (18.34) | 107.45 (124.90) | 58.88 (84.31) | 34.05 (74.51) | |
中性−中性图片 | |||||
中性图片 | 88.89 (30.15) | 212.06 (34.05) | 213.00 (36.28) | 208.85 (39.95) | |
中性图片 | 84.84 (32.74) | 207.99 (32.72) | 207.68 (36.53) | 205.18 (34.10) | |
中性线索注视偏向 | 4.05 (16.20) | 4.07 (28.89) | 5.33 (33.56) | 3.68 (38.06) |
变量 | M | SD | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1. 疼痛强度: 6个月后 | 13.89 | 4.12 | — | |||||||||||||
2. 疼痛功能损伤: 6个月后 | 10.88 | 4.75 | 0.72*** | — | ||||||||||||
3. 疼痛强度: 基线 | 15.80 | 4.30 | 0.42*** | 0.38*** | — | |||||||||||
4. 疼痛功能损伤: 基线 | 12.74 | 4.85 | 0.43*** | 0.55*** | 0.72*** | — | ||||||||||
5. 年龄 | 27.45 | 11.53 | 0.30** | 0.22* | 0.12 | 0.04 | — | |||||||||
6. 抑郁 | 20.73 | 11.33 | 0.13 | 0.20* | 0.26* | 0.35** | −0.17 | — | ||||||||
7. 疼痛灾难化 | 23.44 | 11.58 | 0.37*** | 0.41*** | 0.56*** | 0.64*** | 0.09 | 0.46*** | — | |||||||
任务1: 点探测视觉任务 | ||||||||||||||||
8. 疼痛注视偏向 (时间窗1, ms) | 18.70 | 22.23 | −0.05 | −0.01 | 0.10 | −0.04 | −0.004 | −0.07 | 0.03 | — | ||||||
9. 疼痛注视偏向 (时间窗 2, ms) | 116.24 | 73.37 | 0.11 | 0.17 | −0.04 | 0.09 | 0.08 | 0.04 | −0.02 | 0.26* | — | |||||
10. 疼痛注视偏向 (时间窗 3, ms) | 45.06 | 83.36 | 0.35*** | 0.32*** | 0.17 | 0.22* | 0.25* | 0.16 | 0.15 | −0.07 | 0.30** | — | ||||
11. 疼痛注视偏向 (时间窗 4, ms) | 18.50 | 83.71 | 0.37*** | 0.26* | 0.08 | 0.11 | 0.25* | 0.03 | 0.04 | −0.03 | 0.41*** | 0.59*** | — | |||
任务2: 融入真实疼痛刺激的视觉任务 | ||||||||||||||||
12.疼痛注视偏向 (时间窗 1, ms) | 9.23 | 18.34 | −0.12 | −0.10 | 0.04 | −0.08 | 0.007 | −0.10 | −0.11 | 0.23* | 0.14 | −0.18 | −0.06 | — | ||
13.疼痛注视偏向 (时间窗 2, ms) | 107.45 | 124.90 | −0.07 | 0.03 | −0.06 | 0.006 | −0.04 | −0.03 | −0.06 | 0.27** | 0.46*** | 0.007 | 0.06 | 0.04 | — | |
14.疼痛注视偏向 (时间窗 3, ms) | 58.88 | 84.31 | 0.28** | 0.27** | 0.04 | 0.09 | 0.11 | −0.03 | −0.04 | −0.08 | 0.39*** | 0.44*** | 0.24 | −0.18 | 0.26* | — |
15. 疼痛注视偏向 (时间窗 4, ms) | 34.05 | 74.51 | 0.25* | 0.22* | −0.02 | 0.07 | 0.14 | 0.02 | −0.04 | −0.06 | 0.40*** | 0.45*** | 0.53*** | −0.05 | 0.14 | 0.48*** |
表2 六个月后慢性疼痛强度、功能损伤与基线变量的相关(N = 94)
变量 | M | SD | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1. 疼痛强度: 6个月后 | 13.89 | 4.12 | — | |||||||||||||
2. 疼痛功能损伤: 6个月后 | 10.88 | 4.75 | 0.72*** | — | ||||||||||||
3. 疼痛强度: 基线 | 15.80 | 4.30 | 0.42*** | 0.38*** | — | |||||||||||
4. 疼痛功能损伤: 基线 | 12.74 | 4.85 | 0.43*** | 0.55*** | 0.72*** | — | ||||||||||
5. 年龄 | 27.45 | 11.53 | 0.30** | 0.22* | 0.12 | 0.04 | — | |||||||||
6. 抑郁 | 20.73 | 11.33 | 0.13 | 0.20* | 0.26* | 0.35** | −0.17 | — | ||||||||
7. 疼痛灾难化 | 23.44 | 11.58 | 0.37*** | 0.41*** | 0.56*** | 0.64*** | 0.09 | 0.46*** | — | |||||||
任务1: 点探测视觉任务 | ||||||||||||||||
8. 疼痛注视偏向 (时间窗1, ms) | 18.70 | 22.23 | −0.05 | −0.01 | 0.10 | −0.04 | −0.004 | −0.07 | 0.03 | — | ||||||
9. 疼痛注视偏向 (时间窗 2, ms) | 116.24 | 73.37 | 0.11 | 0.17 | −0.04 | 0.09 | 0.08 | 0.04 | −0.02 | 0.26* | — | |||||
10. 疼痛注视偏向 (时间窗 3, ms) | 45.06 | 83.36 | 0.35*** | 0.32*** | 0.17 | 0.22* | 0.25* | 0.16 | 0.15 | −0.07 | 0.30** | — | ||||
11. 疼痛注视偏向 (时间窗 4, ms) | 18.50 | 83.71 | 0.37*** | 0.26* | 0.08 | 0.11 | 0.25* | 0.03 | 0.04 | −0.03 | 0.41*** | 0.59*** | — | |||
任务2: 融入真实疼痛刺激的视觉任务 | ||||||||||||||||
12.疼痛注视偏向 (时间窗 1, ms) | 9.23 | 18.34 | −0.12 | −0.10 | 0.04 | −0.08 | 0.007 | −0.10 | −0.11 | 0.23* | 0.14 | −0.18 | −0.06 | — | ||
13.疼痛注视偏向 (时间窗 2, ms) | 107.45 | 124.90 | −0.07 | 0.03 | −0.06 | 0.006 | −0.04 | −0.03 | −0.06 | 0.27** | 0.46*** | 0.007 | 0.06 | 0.04 | — | |
14.疼痛注视偏向 (时间窗 3, ms) | 58.88 | 84.31 | 0.28** | 0.27** | 0.04 | 0.09 | 0.11 | −0.03 | −0.04 | −0.08 | 0.39*** | 0.44*** | 0.24 | −0.18 | 0.26* | — |
15. 疼痛注视偏向 (时间窗 4, ms) | 34.05 | 74.51 | 0.25* | 0.22* | −0.02 | 0.07 | 0.14 | 0.02 | −0.04 | −0.06 | 0.40*** | 0.45*** | 0.53*** | −0.05 | 0.14 | 0.48*** |
模型 | 预测因子 | β | t | p | ΔR2 | R2 | F | p |
---|---|---|---|---|---|---|---|---|
模型一: 6个月后的疼痛强度 | ||||||||
第一步 | 0.24 | 14.09 | < 0.001 | |||||
疼痛强度: 基线 | 0.37 | 4.18 | < 0.001 | |||||
年龄 | 0.09 | 2.75 | 0.007 | |||||
第二步 | 0.03 | 0.26 | 3.26 | 0.074 | ||||
疼痛灾难化 | 0.07 | 1.81 | 0.074 | |||||
第三步1 | 0.05 | 0.31 | 6.02 | 0.02 | ||||
疼痛注视偏向(时间窗 3, 任务1) | 0.01 | 2.45 | 0.016 | |||||
第三步2 | 0.08 | 0.35 | 11.49 | 0.001 | ||||
疼痛注视偏向(时间窗4, 任务1) | 0.02 | 3.39 | 0.001 | |||||
第三步3 | 0.07 | 0.33 | 8.66 | 0.004 | ||||
疼痛注视偏向(时间窗 3, 任务2) | 0.01 | 2.94 | 0.004 | |||||
第三步4 | 0.05 | 0.32 | 7.00 | 0.01 | ||||
疼痛注视偏向(时间窗4, 任务2) | 0.01 | 2.65 | 0.010 | |||||
模型二: 6个月后的疼痛功能损伤 | ||||||||
第一步 | 0.34 | 23.35 | < 0.001 | |||||
疼痛功能损伤: 基线 | 0.53 | 6.32 | < 0.001 | |||||
年龄 | 0.08 | 2.38 | 0.019 | |||||
第二步 | 0.004 | 0.34 | 0.30 | 0.743 | ||||
疼痛灾难化 | 0.02 | 0.40 | 0.688 | |||||
抑郁 | 0.02 | 0.64 | 0.638 | |||||
第三步5 | 0.03 | 0.37 | 3.53 | 0.06 | ||||
疼痛注视偏向(时间窗 3, 任务1) | 0.01 | 1.88 | 0.063 | |||||
第三步6 | 0.03 | 0.37 | 3.63 | 0.06 | ||||
疼痛注视偏向(时间窗4, 任务1) | 0.01 | 1.91 | 0.060 | |||||
第三步7 | 0.04 | 0.39 | 6.04 | 0.02 | ||||
疼痛注视偏向(时间窗 3, 任务2) | 0.01 | 2.46 | 0.016 | |||||
第三步8 | 0.03 | 0.37 | 3.55 | 0.06 | ||||
疼痛注视偏向(时间窗4, 任务2) | 0.01 | 1.88 | 0.063 |
表3 慢性疼痛强度和功能损伤的回归分析
模型 | 预测因子 | β | t | p | ΔR2 | R2 | F | p |
---|---|---|---|---|---|---|---|---|
模型一: 6个月后的疼痛强度 | ||||||||
第一步 | 0.24 | 14.09 | < 0.001 | |||||
疼痛强度: 基线 | 0.37 | 4.18 | < 0.001 | |||||
年龄 | 0.09 | 2.75 | 0.007 | |||||
第二步 | 0.03 | 0.26 | 3.26 | 0.074 | ||||
疼痛灾难化 | 0.07 | 1.81 | 0.074 | |||||
第三步1 | 0.05 | 0.31 | 6.02 | 0.02 | ||||
疼痛注视偏向(时间窗 3, 任务1) | 0.01 | 2.45 | 0.016 | |||||
第三步2 | 0.08 | 0.35 | 11.49 | 0.001 | ||||
疼痛注视偏向(时间窗4, 任务1) | 0.02 | 3.39 | 0.001 | |||||
第三步3 | 0.07 | 0.33 | 8.66 | 0.004 | ||||
疼痛注视偏向(时间窗 3, 任务2) | 0.01 | 2.94 | 0.004 | |||||
第三步4 | 0.05 | 0.32 | 7.00 | 0.01 | ||||
疼痛注视偏向(时间窗4, 任务2) | 0.01 | 2.65 | 0.010 | |||||
模型二: 6个月后的疼痛功能损伤 | ||||||||
第一步 | 0.34 | 23.35 | < 0.001 | |||||
疼痛功能损伤: 基线 | 0.53 | 6.32 | < 0.001 | |||||
年龄 | 0.08 | 2.38 | 0.019 | |||||
第二步 | 0.004 | 0.34 | 0.30 | 0.743 | ||||
疼痛灾难化 | 0.02 | 0.40 | 0.688 | |||||
抑郁 | 0.02 | 0.64 | 0.638 | |||||
第三步5 | 0.03 | 0.37 | 3.53 | 0.06 | ||||
疼痛注视偏向(时间窗 3, 任务1) | 0.01 | 1.88 | 0.063 | |||||
第三步6 | 0.03 | 0.37 | 3.63 | 0.06 | ||||
疼痛注视偏向(时间窗4, 任务1) | 0.01 | 1.91 | 0.060 | |||||
第三步7 | 0.04 | 0.39 | 6.04 | 0.02 | ||||
疼痛注视偏向(时间窗 3, 任务2) | 0.01 | 2.46 | 0.016 | |||||
第三步8 | 0.03 | 0.37 | 3.55 | 0.06 | ||||
疼痛注视偏向(时间窗4, 任务2) | 0.01 | 1.88 | 0.063 |
主要预测因子 | 模型类型 | |||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
随机森林 | 支持向量机 | K近邻 | 多层感知机 | 最小绝对值 收缩−选择算子 | ||||||||||||||||
r | p | R2 | MSE | r | p | R2 | MSE | r | p | R2 | MSE | r | p | R2 | MSE | r | p | R2 | MSE | |
对6个月后疼痛强度的预测: | ||||||||||||||||||||
疼痛注视偏向 (时间窗 3, 任务1) | 0.40 | <0.001 | 0.89 | 1.87 | −0.08 | 0.47 | 0.49 | 0.51 | 0.86 | <0.001 | 0.11 | 14.88 | −0.11 | 0.30 | 0.40 | 0.60 | −0.13 | 0.19 | 0.31 | 0.69 |
疼痛注视偏向 (时间窗 4, 任务1) | 0.45 | <0.001 | 0.89 | 1.80 | −0.01 | 0.93 | 0.45 | 0.55 | 0.77 | <0.001 | 0.16 | 14.16 | −0.14 | 0.19 | 0.40 | 0.60 | −0.12 | 0.26 | 0.35 | 0.65 |
疼痛注视偏向 (时间窗 3, 任务2) | 0.31 | 0.003 | 0.89 | 1.92 | 0.06 | 0.59 | 0.52 | 0.48 | 0.84 | <0.001 | 0.11 | 14.94 | −0.05 | 0.66 | 0.40 | 0.60 | −0.07 | 0.48 | 0.33 | 0.67 |
疼痛注视偏向 (时间窗 4, 任务2) | 0.28 | 0.006 | 0.88 | 2.01 | −0.07 | 0.53 | 0.52 | 0.48 | 0.59 | <0.001 | 0.10 | 15.13 | −0.18 | 0.08 | 0.40 | 0.60 | −0.20 | 0.05 | 0.32 | 0.68 |
对6个月后疼痛功能损伤的预测: | ||||||||||||||||||||
疼痛注视偏向 (时间窗 3, 任务1) | 0.38 | <0.001 | 0.90 | 2.24 | 0.04 | 0.71 | 0.63 | 0.37 | 0.87 | <0.001 | 0.12 | 19.74 | −0.03 | 0.76 | 0.40 | 0.60 | −0.08 | 0.42 | 0.37 | 0.63 |
疼痛注视偏向 (时间窗 4, 任务1) | 0.31 | 0.002 | 0.90 | 2.25 | −0.05 | 0.65 | 0.60 | 0.40 | 0.71 | <0.001 | 0.09 | 20.37 | −0.05 | 0.65 | 0.40 | 0.60 | −0.06 | 0.58 | 0.37 | 0.63 |
疼痛注视偏向 (时间窗 3, 任务2) | 0.29 | 0.004 | 0.90 | 2.18 | −0.03 | 0.74 | 0.59 | 0.82 | 0.78 | <0.001 | 0.08 | 20.60 | −0.11 | 0.31 | 0.51 | 0.49 | −0.03 | 0.78 | 0.39 | 0.61 |
疼痛注视偏向 (时间窗 4, 任务2) | 0.23 | 0.02 | 0.90 | 2.16 | −0.17 | 0.11 | 0.42 | 0.58 | 0.60 | <0.001 | 0.09 | 20.45 | −0.18 | 0.08 | 0.40 | 0.60 | −0.18 | 0.08 | 0.37 | 0.63 |
表4 慢性疼痛强度和功能损伤的机器学习回归模型
主要预测因子 | 模型类型 | |||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
随机森林 | 支持向量机 | K近邻 | 多层感知机 | 最小绝对值 收缩−选择算子 | ||||||||||||||||
r | p | R2 | MSE | r | p | R2 | MSE | r | p | R2 | MSE | r | p | R2 | MSE | r | p | R2 | MSE | |
对6个月后疼痛强度的预测: | ||||||||||||||||||||
疼痛注视偏向 (时间窗 3, 任务1) | 0.40 | <0.001 | 0.89 | 1.87 | −0.08 | 0.47 | 0.49 | 0.51 | 0.86 | <0.001 | 0.11 | 14.88 | −0.11 | 0.30 | 0.40 | 0.60 | −0.13 | 0.19 | 0.31 | 0.69 |
疼痛注视偏向 (时间窗 4, 任务1) | 0.45 | <0.001 | 0.89 | 1.80 | −0.01 | 0.93 | 0.45 | 0.55 | 0.77 | <0.001 | 0.16 | 14.16 | −0.14 | 0.19 | 0.40 | 0.60 | −0.12 | 0.26 | 0.35 | 0.65 |
疼痛注视偏向 (时间窗 3, 任务2) | 0.31 | 0.003 | 0.89 | 1.92 | 0.06 | 0.59 | 0.52 | 0.48 | 0.84 | <0.001 | 0.11 | 14.94 | −0.05 | 0.66 | 0.40 | 0.60 | −0.07 | 0.48 | 0.33 | 0.67 |
疼痛注视偏向 (时间窗 4, 任务2) | 0.28 | 0.006 | 0.88 | 2.01 | −0.07 | 0.53 | 0.52 | 0.48 | 0.59 | <0.001 | 0.10 | 15.13 | −0.18 | 0.08 | 0.40 | 0.60 | −0.20 | 0.05 | 0.32 | 0.68 |
对6个月后疼痛功能损伤的预测: | ||||||||||||||||||||
疼痛注视偏向 (时间窗 3, 任务1) | 0.38 | <0.001 | 0.90 | 2.24 | 0.04 | 0.71 | 0.63 | 0.37 | 0.87 | <0.001 | 0.12 | 19.74 | −0.03 | 0.76 | 0.40 | 0.60 | −0.08 | 0.42 | 0.37 | 0.63 |
疼痛注视偏向 (时间窗 4, 任务1) | 0.31 | 0.002 | 0.90 | 2.25 | −0.05 | 0.65 | 0.60 | 0.40 | 0.71 | <0.001 | 0.09 | 20.37 | −0.05 | 0.65 | 0.40 | 0.60 | −0.06 | 0.58 | 0.37 | 0.63 |
疼痛注视偏向 (时间窗 3, 任务2) | 0.29 | 0.004 | 0.90 | 2.18 | −0.03 | 0.74 | 0.59 | 0.82 | 0.78 | <0.001 | 0.08 | 20.60 | −0.11 | 0.31 | 0.51 | 0.49 | −0.03 | 0.78 | 0.39 | 0.61 |
疼痛注视偏向 (时间窗 4, 任务2) | 0.23 | 0.02 | 0.90 | 2.16 | −0.17 | 0.11 | 0.42 | 0.58 | 0.60 | <0.001 | 0.09 | 20.45 | −0.18 | 0.08 | 0.40 | 0.60 | −0.18 | 0.08 | 0.37 | 0.63 |
[1] |
Armstrong T., & Olatunji B. O. (2012). Eye tracking of attention in the affective disorders: A meta-analytic review and synthesis. Clinical Psychology Review, 32(8), 704-723. https://doi.org/10.1016/j.cpr.2012.09.004
doi: 10.1016/j.cpr.2012.09.004 URL pmid: 23059623 |
[2] | Asmundson G. J. G., Norton P. J., & Vlaeyen J. W. S. (2004). Fear-avoidance models of chronic pain: An overview. In G. J. G. Asmundson, J. W. S. Vlaeyen, & G. Crombez (Eds.), Understanding and treating fear of pain. Oxford, UK, Oxford University Press. |
[3] |
Bradley B. P., Mogg K., & Millar N. H. (2000). Covert and overt orienting of attention to emotional faces in anxiety. Cognition and Emotion, 14(6), 789-808. https://doi.org/10.1080/02699930050156636
doi: 10.1080/02699930050156636 URL |
[4] |
Carleton R. N., Richter A. A., & Asmundson G. J. G. (2011). Attention modification in persons with fibromyalgia: A double blind, randomized clinical trial. Cognitive Behaviour Therapy, 40(4), 279-290. https://doi.org/10.1080/16506073.2011.616218
doi: 10.1080/16506073.2011.616218 URL pmid: 22060250 |
[5] |
Chan F. H. F., Suen H., Jackson T., Vlaeyen J. W. S., & Barry T. J. (2020). Pain-related attentional processes: A systematic review of eye-tracking research. Clinical Psychology Review, 80, 101884. https://doi.org/10.1016/j.cpr.2020.101884
doi: 10.1016/j.cpr.2020.101884 URL |
[6] |
Chapman S., & Martin M. (2011). Attention to pain words in irritable bowel syndrome: Increased orienting and speeded engagement. British Journal of Health Psychology, 16(1), 47-60. https://doi.org/10.1348/135910710X505887
doi: 10.1348/135910710X505887 URL |
[7] |
Crombez G., Van Ryckeghem D. M. L., Eccleston C., & van Damme S. (2013). Attentional bias to pain-related information: A meta-analysis. Pain, 154(4), 497-510. https://doi.org/10.1016/j.pain.2012.11.013
doi: 10.1016/j.pain.2012.11.013 URL pmid: 23333054 |
[8] |
Desimone R., & Duncan J. (1995). Neural mechanisms of selective visual attention. Annual Review of Neuroscience, 18, 193-222. https://doi.org/10.1146/annurev.ne.18.030195. 001205
URL pmid: 7605061 |
[9] |
Eysenck M. W., Derakshan N., Santos R., & Calvo M. G. (2007). Anxiety and cognitive performance: Attentional control theory. Emotion, 7(2), 336-353. https://doi.org/10.1037/1528-3542.7.2.336
doi: 10.1037/1528-3542.7.2.336 URL pmid: 17516812 |
[10] |
Fashler S., & Katz J. (2014). More than meets the eye: Visual attention biases in individuals reporting chronic pain. Journal of Pain Research, 7, 557-570. https://doi.org/10.2147/JPR.S67431
doi: 10.2147/JPR.S67431 URL pmid: 25285022 |
[11] |
Fashler S., & Katz J. (2016). Keeping an eye on pain: Investigating visual attention biases in individuals with chronic pain using eye-tracking methodology. Journal of Pain Research, 9, 551-561. https://doi.org/10.2147/JPR.S104268
doi: 10.2147/JPR.S104268 URL pmid: 27570461 |
[12] |
Fernandes-Magalhaes R., Ferrera D., Peláez I., Martín-Buro M. C., Carpio A., de Lahoz M. E., Barjola P., & Mercado F. (2022). Neural correlates of the attentional bias towards pain-related faces in fibromyalgia patients: An ERP study using a dot-probe task. Neuropsychologia, 166, 108141. https://doi.org/10.1016/j.neuropsychologia.2021.108141
doi: 10.1016/j.neuropsychologia.2021.108141 URL |
[13] |
Giel K. E., Paganini S., Schank I., Enck P., Zipfel S., & Junne F. (2018). Processing of emotional faces in patients with chronic pain disorder: An eye-tracking study. Frontiers in Psychiatry, 9, 63. https://doi.org/10.3389/fpsyt.2018.00063
doi: 10.3389/fpsyt.2018.00063 URL pmid: 29556205 |
[14] |
Heathcote L. C., Jacobs K., van Ryckeghem D. M. L., Fisher E., Eccleston C., Fox E., & Lau J. Y. F. (2018). Attention bias modification training for adolescents with chronic pain: A randomized placebo-controlled trial. Pain, 159(2), 239-251. https://doi.org/10.1097/j.pain.0000000000001084
doi: 10.1097/j.pain.0000000000001084 URL pmid: 28968342 |
[15] |
Jackson T., Su L., & Wang Y. (2018a). Effects of higher versus lower threat contexts on pain-related attention biases: An eye-tracking study. European Journal of Pain, 22(6), 1113-1123. https://doi.org/10.1002/ejp.1195
doi: 10.1002/ejp.2018.22.issue-6 URL |
[16] |
Jackson T., Su L., & Wang Y. (2018b). Effects of higher versus lower threat contexts on pain-related visual attention biases: An eye-tracking study of chronic pain. The Journal of Pain, 19(6), 649-659. https://doi.org/10.1016/j.jpain.2018.01.011.
doi: 10.1016/j.jpain.2018.01.011 URL |
[17] |
Jackson T., Yang Z., & Su L. (2019). Pain-related gaze biases and later functioning among adults with chronic pain: A longitudinal eye-tracking study. Pain, 160(10), 2221-2228. https://doi.org/10.1097/j.pain.0000000000001614
doi: 10.1097/j.pain.0000000000001614 URL pmid: 31205233 |
[18] |
Jensen M. P., & Turk D. C. (2014). Contributions of psychology to the understanding and treatment of people with chronic pain: Why it matters to ALL psychologists. American Psychologist, 69(2), 105-118. https://doi.org/10.1037/a0035641
doi: 10.1037/a0035641 URL pmid: 24547797 |
[19] |
Kreddig N., Hasenbring M. I., & Keogh E. (2022). Comparing the effects of thought suppression and focused distraction on pain-related attentional biases in men and women. The Journal of Pain, 23(11), 1958-1972. https://doi.org/10.1016/j.jpain.2022.07.004
doi: 10.1016/j.jpain.2022.07.004 URL |
[20] | Lee J., Beom J., Choi S., Lee S., & Lee A. J. (2019). Chronic pain patients' gaze patterns toward pain-related information: Comparison between pictorial and linguistic stimuli. Medicina (Kaunas), 55(9), 530. https://doi.org/10.3390/medicina55090530 |
[21] | Lee J. E., Kim S. H., Shin S. K., Wachholtz A., & Lee J. H. (2018). Attentional engagement for pain-related information among individuals with chronic pain: The role of pain catastrophizing. Pain Research and Management, 2018, 6038406. https://doi.org/10.1155/2018/6038406 |
[22] |
Ling Y., Yang Z., & Jackson T. (2019). Visual attention to pain cues for impending touch versus impending pain: An eye tracking study. European Journal of Pain, 23(8), 1527-1537. https://doi.org/10.1002/ejp.1428
doi: 10.1002/ejp.1428 URL pmid: 31112316 |
[23] |
Liossi C., Schoth D. E., Godwin H. J., & Liversedge S. P. (2014). Using eye movements to investigate selective attention in chronic daily headache. Pain, 155(3), 503-510. https://doi.org/10.1016/j.pain.2013.11.014
doi: 10.1016/j.pain.2013.11.014 URL pmid: 24287436 |
[24] |
Mahmoodi-Aghdam M., Dehghani M., Ahmadi M., Khorrami Banaraki A., & Khatibi A. (2017). Chronic pain and selective attention to pain arousing daily activity pictures: Evidence from an eye tracking study. Basic and Clinical Neuroscience Journal, 8(6), 467-478. https://doi.org/10.29252/nirp.bcn.8.6.467
doi: 10.29252/nirp.bcn.8.6.467 URL |
[25] |
Mazidi M., Dehghani M., Sharpe L., Dolatshahi B., Ranjbar S., & Khatibi A. (2021). Time course of attentional bias to painful facial expressions and the moderating role of attentional control: An eye-tracking study. British Journal of Pain, 15(1), 5-15. https://doi.org/10.1177/2049463719866877
doi: 10.1177/2049463719866877 URL pmid: 33633849 |
[26] |
Meng J., Hu L., Shen L., Yang Z., Chen H., Huang X., & Jackson T. (2012). Emotional primes modulate the responses to others’ pain: An ERP study. Experimental Brain Research, 220(3-4), 277-286. https://doi.org/10.1007/s00221-012-3136-2
doi: 10.1007/s00221-012-3136-2 URL |
[27] |
Pilch M., O'Hora D., Jennings C., Caes L., McGuire B. E., Kainz V., & Vervoort T. (2020). Perspective-taking influences attentional deployment towards facial expressions of pain. Pain, 161(6), 1286-1296. https://doiorg/10.1097/j.pain.0000000000001827
doi: 10.1097/j.pain.0000000000001827 URL |
[28] |
Pincus T., & Morley S. (2001). Cognitive-processing bias in chronic pain: A review and integration. Psychological Bulletin, 127(5), 599-617. https://doi.org/10.1037/0033-2909.127.5.599
doi: 10.1037/0033-2909.127.5.599 URL pmid: 11548969 |
[29] |
Price D. D. (2000). Psychological and neural mechanisms of the affective dimension of pain. Science, 288(5472), 1769-1772. https://doi.org/10.1126/science.288.5472.1769
doi: 10.1126/science.288.5472.1769 URL pmid: 10846154 |
[30] |
Priebe J. A., Messingschlager M., & Lautenbacher S. (2015). Gaze behaviour when monitoring pain faces: An eye-tracking study. European Journal of Pain, 19(6), 817-825. https://doi.org/10.1002/ejp.608.
doi: 10.1002/ejp.608 URL pmid: 25370746 |
[31] |
Schoth D. E., Nunes V. D., & Liossi C. (2012). Attentional bias towards pain-related information in chronic pain; a meta-analysis of visual-probe investigations. Clinical Psychology Review, 32(1), 13-25. https://doi.org/10.1016/j.cpr.2011.09.004
doi: 10.1016/j.cpr.2011.09.004 URL pmid: 22100743 |
[32] |
Sharpe L., Brookes M., Jones E., Gittins C., Wufong E., & Nicholas M. K. (2017). Threat and fear of pain induces attentional bias to pain words: An eye‐tracking study. European Journal of Pain, 21(2), 385-396. https://doi.org/10.1002/ejp.936
doi: 10.1002/ejp.936 URL pmid: 27774680 |
[33] |
Sharpe L., Haggman S., Nicholas M., Dear B. F., & Refshauge K. (2014). Avoidance of affective pain stimuli predicts chronicity in patients with acute low back pain. Pain, 155(1), 45-52. https://doi.org/10.1016/j.pain.2013.09.004
doi: 10.1016/j.pain.2013.09.004 URL pmid: 24028848 |
[34] |
Sharpe L., Ianiello M., Dear B. F., Perry K. N., Refshauge K., & Nicholas M. K. (2012). Is there a potential role for attention bias modification in pain patients? Results of 2 randomised, controlled trials. Pain, 153(3), 722-731. https://doi.org/10.1016/j.pain.2011.12.014
doi: 10.1016/j.pain.2011.12.014 URL pmid: 22281100 |
[35] |
Sharpe L., Johnson A., & Dear B. F. (2015). Attention bias modification and its impact on experimental pain outcomes: Comparison of training with words versus faces in pain. European Journal of Pain, 19(9), 1248-1257. https://doi.org/10.1002/ejp.648
doi: 10.1002/ejp.648 URL pmid: 25523240 |
[36] |
Sullivan M. J. L., Bishop S. R., & Pivik J. (1995). The pain catastrophizing scale: Development and validation. Psychological Assessment, 7(4), 524-532. https://doi.org/10.1037/1040-3590.7.4.524
doi: 10.1037/1040-3590.7.4.524 URL |
[37] | Sun Z. K., Wang J. Y., & Luo F. (2014). Attentional bias towards pain-related information. Chinese Journal of Clinical Psychology, 22(5), 782-787+803. https://doi.org/10.16128/j.cnki.1005-3611.2014.05.051. |
[ 孙泽坤, 王锦琰, 罗非. (2014). 疼痛相关信息的注意偏向. 中国临床心理学杂志, 22(5), 782-787+803. https://doi.org/10.16128/j.cnki.1005-3611.2014.05.051 ] | |
[38] |
Sun Z. K., Wang J. Y., & Luo F. (2015). Interaction between pain and attention: Bottom-up capture vs.top-down modulation. Advances in Psychological Science, 23(12), 2096-2106. https://doi.org/10.3724/SP.J.1042.2015.02096.
doi: 10.3724/SP.J.1042.2015.02096 URL |
[ 孙泽坤, 王锦琰, 罗非. (2015). 疼痛与注意的交互作用: 自下而上的捕获效应和自上而下的调节作用. 心理科学进展, 23(12), 2096-2106. https://doi.org/10.3724/SP.J.1042.2015.02096 ]
doi: 10.3724/SP.J.1042.2015.02096 URL |
|
[39] |
Sun Z. K., Wang J. Y., & Luo F. (2016). Experimental pain induces attentional bias that is modified by enhanced motivation: An eye tracking study. European Journal of Pain, 20(8), 1266-1277. https://doi.org/10.1002/ejp.851
doi: 10.1002/ejp.851 URL pmid: 26951996 |
[40] |
Todd J., Sharpe L., Colagiuri B., & Khatibi A. (2016). The effect of threat on cognitive biases and pain outcomes: An eye-tracking study. European Journal of Pain, 20(8), 1357-1368. https://doi.org/10.1002/ejp.887
doi: 10.1002/ejp.887 URL pmid: 27091543 |
[41] |
Todd J., Sharpe L., Johnson A., Nicholson Perry K., Colagiuri B., & Dear B. F. (2015). Towards a new model of attentional biases in the development, maintenance, and management of pain. Pain, 156(9), 1589-1600. https://doi.org/10.1097/j.pain.0000000000000214
doi: 10.1097/j.pain.0000000000000214 URL pmid: 26291997 |
[42] |
Todd J., van Ryckeghem D. M. L., Sharpe L., & Crombez G. (2018). Attentional bias to pain-related information: A meta-analysis of dot-probe studies. Health Psychology Review, 12(4), 419-436. https://doi.org/10.1080/17437199.2018.1521729
doi: 10.1080/17437199.2018.1521729 URL pmid: 30205757 |
[43] |
van Ryckeghem D. M. L., Crombez G., van Hulle L., & van Damme S. (2012). Attentional bias towards pain-related information diminishes the efficacy of distraction. Pain, 153(12), 2345-2351. https://doi.org/10.1016/j.pain.2012.07.032
doi: 10.1016/j.pain.2012.07.032 URL pmid: 22989933 |
[44] |
Vervoort T., Trost Z., Prkachin K. M., & Mueller S. C. (2013). Attentional processing of other’s facial display of pain: An eye tracking study. Pain, 154(6), 836-844. https://doi.org/10.1016/j.pain.2013.02.017
doi: 10.1016/j.pain.2013.02.017 URL pmid: 23561271 |
[45] |
Vlaeyen J. W. S., & Linton S. J. (2012). Fear-avoidance model of chronic musculoskeletal pain: 12 years on. Pain, 153(6), 1144-1147. https://doi.org/10.1016/j.pain.2011.12.009
doi: 10.1016/j.pain.2011.12.009 URL pmid: 22321917 |
[46] |
Wei H., & Zhou R. l. (2019). The current status and controversy of inhibitory control deficits in anxiety: A perspective from attentional control theory. Advances in Psychological Science, 27(11), 1853-1862. https://doi.org/10.3724/SP.J.1042.2019.01853.
doi: 10.3724/SP.J.1042.2019.01853 URL |
[ 魏华, 周仁来. (2019). 焦虑个体抑制控制缺陷的研究现状和争议: 基于注意控制理论视角. 心理科学进展, 27(11), 1853-1862. https://doi.org/10.3724/SP.J.1042.2019.01853 ]
doi: 10.3724/SP.J.1042.2019.01853 URL |
|
[47] |
Wong W. S., & Fielding R. (2011). Prevalence and characteristics of chronic pain in the general population of Hong Kong. The Journal of Pain, 12(2), 236-245. https://doi.org/10.1016/j.jpain.2010.07.004
doi: 10.1016/j.jpain.2010.07.004 URL |
[48] |
Yang Z., Jackson T., & Chen H. (2013). Effects of chronic pain and pain-related fear on orienting and maintenance of attention: An eye movement study. The Journal of Pain, 14(10), 1148-1157. https://doi.org/10.1016/j.jpain.2013.04.017
doi: 10.1016/j.jpain.2013.04.017 URL |
[49] |
Yang Z., Jackson T., Chen H., Huang C. Z., Su L., & Gao T. (2016). The attention bias related to fear of pain and its modification. Advances in Psychological Science, 24(4), 547-555. https://doi.org/10.3724/SP.J.1042.2016.00547.
doi: 10.3724/SP.J.1042.2016.00547 URL |
[ 杨周, Jackson Todd, 陈红, 黄承志, 苏琳, 高婷. (2016). 疼痛恐惧相关的注意偏向及其矫正. 心理科学进展, 24(4), 547-555. https://doi.org/10.3724/SP.J.1042.2016.00547 ]
doi: 10.3724/SP.J.1042.2016.00547 URL |
|
[50] |
Yang Z., Jackson T., Gao X., & Chen H. (2012). Identifying selective visual attention biases related to fear of pain by tracking eye movements within a dot-probe paradigm. Pain, 153(8), 1742-1748. https://doi.org/10.1016/j.pain.2012.05.011
doi: 10.1016/j.pain.2012.05.011 URL pmid: 22717101 |
[51] |
Yang Z., Jackson T., & Huang C. (2016). Neural activation during anticipation of near pain-threshold stimulation among the pain-fearful. Frontiers in Neuroscience, 10, 342. https://doi.org/10.3389/fnins.2016.00342
doi: 10.3389/fnins.2016.00342 URL pmid: 27489536 |
[52] |
Yap J. C., Lau J., Chen P. P., Gin T., Wong T., Chan I., Chu J., & Wong E. (2008). Validation of the Chinese pain catastrophizing scale (HK-PCS) in patients with chronic pain. Pain Medicine, 9(2), 186-195. https://doi.org/10.1111/j.1526-4637.2007.00307.x
doi: 10.1111/j.1526-4637.2007.00307.x URL pmid: 18298701 |
[53] |
Yen C. F., Ko C. H., Yen J. Y., Chang Y. P., & Cheng C. P. (2009). Multi-dimensional discriminative factors for Internet addiction among adolescents regarding gender and age. Psychiatry and Clinical Neurosciences, 63(3), 357-364. https://doi.org/10.1111/j.1440-1819.2009.01969.x
doi: 10.1111/j.1440-1819.2009.01969.x URL pmid: 19566768 |
[54] |
Zhang Y., Ye Q., He H., Jin R., & Peng W. (2023). Neurocognitive mechanisms underlying attention bias towards pain: Evidence from a drift-diffusion model and event-related potentials. The Journal of Pain, 24(7), 1307-1320. https://doi.org/10.1016/j.jpain.2023.03.003
doi: 10.1016/j.jpain.2023.03.003 URL |
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