Acta Psychologica Sinica ›› 2021, Vol. 53 ›› Issue (8): 861-874.doi: 10.3724/SP.J.1041.2021.00861
• Reports of Empirical Studies • Previous Articles Next Articles
CAI Huiyan1,†, MIAO Xin2,†, LIN Zhiwei3, WANG Mengcheng1, YANG Wendeng1, LI Jiayi, MA Yankun1(), WANG Pengfei1(), ZENG Hong1()
Received:
2021-03-22
Published:
2021-08-25
Online:
2021-06-25
Contact:
MA Yankun,WANG Pengfei,ZENG Hong
E-mail:ykma@gzhu.edu.cn;pwang@gzhu.edu.cn;zhh0791@163.com
Supported by:
CAI Huiyan, MIAO Xin, LIN Zhiwei, WANG Mengcheng, YANG Wendeng, LI Jiayi, MA Yankun, WANG Pengfei, ZENG Hong. (2021). Structural and functional characteristics of impulsive-related brain regions in heroin addicts with long-term withdrawal. Acta Psychologica Sinica, 53(8), 861-874.
Add to citation manager EndNote|Ris|BibTeX
URL: https://journal.psych.ac.cn/acps/EN/10.3724/SP.J.1041.2021.00861
Basic information | Complete Abstinence Group (23) | Methadone withdrawal group (12) | t | p | Cohen's d |
---|---|---|---|---|---|
Age (years) | 40.20 ± 3.54 | 41.82 ± 3.69 | -1.25 | 0.22 | -0.45 |
Education level (years) | 9.04 ± 1.4 | 9.45 ± 1.04 | -0.88 | 0.38 | -0.33 |
Cigarette consumption/day (root) | 12.99 ± 5.42 | 15.48 ± 7.76 | -1.11 | 0.27 | -0.41 |
Alcohol consumption per day (ml) | 18.40 ± 10.02 | 18.48 ± 12.42 | -0.02 | 0.98 | -0.01 |
Heroin dosage/day before withdrawal (g) | 0.55 ± 0.28 | 0.65 ± 0.27 | -0.78 | 0.44 | -0.36 |
Heroin/month before withdrawal (g) | 16.34 ± 8.31 | 18.75 ± 8.10 | -0.78 | 0.44 | -0.29 |
Duration of medication (month) | 200.76 ± 40.84 | 223.80 ± 56.86 | -1.35 | 0.19 | -0.47 |
Total usage (g) | 3417.44 ± 2102.84 | 4107.75 ± 2102.78 | -0.88 | 0.39 | -0.33 |
Duration of withdrawal (month) | 42.43 ± 6.48 | 44.25 ± 5.28 | -0.83 | 0.41 | -0.31 |
Total Gray Matter(mm3) | 637.39 ± 63.43 | 664.90 ± 47.69 | -1.24 | 0.226 | -0.49 |
Total white matter(mm3) | 535.40 ± 59.03 | 537.40 ± 41.85 | -0.10 | 0.923 | -0.03 |
Total cerebrospinal fluid (mm3) | 234.49 ± 30.49 | 232.02 ± 23.93 | 0.23 | 0.82 | 0.09 |
Total intracranial volume (mm3) | 1407.28 ± 132.81 | 1434.33 ± 97.14 | -0.58 | 0.56 | -0.23 |
Table 1 Basic information and brain indexes of complete abstinence group and methadone abstinence group (M ± SD)
Basic information | Complete Abstinence Group (23) | Methadone withdrawal group (12) | t | p | Cohen's d |
---|---|---|---|---|---|
Age (years) | 40.20 ± 3.54 | 41.82 ± 3.69 | -1.25 | 0.22 | -0.45 |
Education level (years) | 9.04 ± 1.4 | 9.45 ± 1.04 | -0.88 | 0.38 | -0.33 |
Cigarette consumption/day (root) | 12.99 ± 5.42 | 15.48 ± 7.76 | -1.11 | 0.27 | -0.41 |
Alcohol consumption per day (ml) | 18.40 ± 10.02 | 18.48 ± 12.42 | -0.02 | 0.98 | -0.01 |
Heroin dosage/day before withdrawal (g) | 0.55 ± 0.28 | 0.65 ± 0.27 | -0.78 | 0.44 | -0.36 |
Heroin/month before withdrawal (g) | 16.34 ± 8.31 | 18.75 ± 8.10 | -0.78 | 0.44 | -0.29 |
Duration of medication (month) | 200.76 ± 40.84 | 223.80 ± 56.86 | -1.35 | 0.19 | -0.47 |
Total usage (g) | 3417.44 ± 2102.84 | 4107.75 ± 2102.78 | -0.88 | 0.39 | -0.33 |
Duration of withdrawal (month) | 42.43 ± 6.48 | 44.25 ± 5.28 | -0.83 | 0.41 | -0.31 |
Total Gray Matter(mm3) | 637.39 ± 63.43 | 664.90 ± 47.69 | -1.24 | 0.226 | -0.49 |
Total white matter(mm3) | 535.40 ± 59.03 | 537.40 ± 41.85 | -0.10 | 0.923 | -0.03 |
Total cerebrospinal fluid (mm3) | 234.49 ± 30.49 | 232.02 ± 23.93 | 0.23 | 0.82 | 0.09 |
Total intracranial volume (mm3) | 1407.28 ± 132.81 | 1434.33 ± 97.14 | -0.58 | 0.56 | -0.23 |
Basic information | Heroin Abstinent Group (35) | Healthy Control Group (26) | t | p | Cohen's d |
---|---|---|---|---|---|
Age (years) | 40.69 ± 3.61 | 42.31 ± 8.45 | -0.90 | 0.37 | 0.25 |
Education level (years) | 9.17 ± 1.30 | 10.50 ± 1.55 | -3.48 | 0.00 | 0.93 |
Cigarette consumption/day (root) | 13.81 ± 8.27 | 11.43 ± 9.72 | 0.99 | 0.33 | 0.26 |
Alcohol consumption per day (ml) | 19.74 ± 13.93 | 8.84 ± 8.70 | 3.45 | 0.00 | 0.94 |
Heroin dosage/day before withdrawal (g) | 0.57 ± 0.27 | N/A | |||
Heroin use before withdrawal/month (g) | 17.03 ± 8.21 | N/A | |||
Duration of medication (month) | 207.34 ± 45.65 | N/A | |||
Total usage (g) | 3614.67 ± 2095.69 | N/A | |||
Duration of withdrawal (month) | 43.55 ± 6.59 | N/A |
Table 2 Basic information of heroin abstinent group and healthy control group (M ± SD)
Basic information | Heroin Abstinent Group (35) | Healthy Control Group (26) | t | p | Cohen's d |
---|---|---|---|---|---|
Age (years) | 40.69 ± 3.61 | 42.31 ± 8.45 | -0.90 | 0.37 | 0.25 |
Education level (years) | 9.17 ± 1.30 | 10.50 ± 1.55 | -3.48 | 0.00 | 0.93 |
Cigarette consumption/day (root) | 13.81 ± 8.27 | 11.43 ± 9.72 | 0.99 | 0.33 | 0.26 |
Alcohol consumption per day (ml) | 19.74 ± 13.93 | 8.84 ± 8.70 | 3.45 | 0.00 | 0.94 |
Heroin dosage/day before withdrawal (g) | 0.57 ± 0.27 | N/A | |||
Heroin use before withdrawal/month (g) | 17.03 ± 8.21 | N/A | |||
Duration of medication (month) | 207.34 ± 45.65 | N/A | |||
Total usage (g) | 3614.67 ± 2095.69 | N/A | |||
Duration of withdrawal (month) | 43.55 ± 6.59 | N/A |
Basic information | HAG (35) | HCG (26) | t | p | Cohen's d |
---|---|---|---|---|---|
Total Gray Matter (mm3) | 625.41 ± 36.41 | 654.26 ± 63.43 | -2.23 | 0.03 | 0.56 |
Total white matter (mm3) | 523.02 ± 51.08 | 540.36 ± 9.03 | -1.28 | 0.21 | 0.47 |
Total cerebrospinal fluid (mm3) | 231.95 ± 18.98 | 234.16 ± 30.49 | -0.34 | 0.73 | 0.09 |
Brain parenchyma (%) | 0.83 ± 0.01 | 0.84 ± 0.02 | -1.24 | 0.22 | 0.63 |
Total intracranial volume (mm3) | 1380.38 ± 84.65 | 1428.79 ± 132.81 | -1.74 | 0.09 | 0.43 |
Table 3 The results of two-sample t test of brain indexes in the HAG and the HCG
Basic information | HAG (35) | HCG (26) | t | p | Cohen's d |
---|---|---|---|---|---|
Total Gray Matter (mm3) | 625.41 ± 36.41 | 654.26 ± 63.43 | -2.23 | 0.03 | 0.56 |
Total white matter (mm3) | 523.02 ± 51.08 | 540.36 ± 9.03 | -1.28 | 0.21 | 0.47 |
Total cerebrospinal fluid (mm3) | 231.95 ± 18.98 | 234.16 ± 30.49 | -0.34 | 0.73 | 0.09 |
Brain parenchyma (%) | 0.83 ± 0.01 | 0.84 ± 0.02 | -1.24 | 0.22 | 0.63 |
Total intracranial volume (mm3) | 1380.38 ± 84.65 | 1428.79 ± 132.81 | -1.74 | 0.09 | 0.43 |
Name of brain area | L/R | Cluster size | MNI coordinates | t | pAlphaSim | ||
---|---|---|---|---|---|---|---|
x | y | z | |||||
Middle temporal gyrus | R | 2340 | 56 | -59 | -5 | -4.35 | < 0.01 |
Medial and lateral cingulate gyrus | L | 3640 | -8 | -38 | 33 | -4.84 | < 0.01 |
Table 4 Brain regions associated with the volume of gray matter in HAG
Name of brain area | L/R | Cluster size | MNI coordinates | t | pAlphaSim | ||
---|---|---|---|---|---|---|---|
x | y | z | |||||
Middle temporal gyrus | R | 2340 | 56 | -59 | -5 | -4.35 | < 0.01 |
Medial and lateral cingulate gyrus | L | 3640 | -8 | -38 | 33 | -4.84 | < 0.01 |
Brain region | L/R | Cluster size | MNI coordinates | t | pAlphaSim | ||
---|---|---|---|---|---|---|---|
x | y | z | |||||
HAG < HCG | |||||||
Middle frontal gyrus | R | 676 | 12 | 57 | -9 | -6.28 | < 0.01 |
HAG > HCG | |||||||
Postcentral gyrus | R | 204 | 33 | -30 | 54 | 3.54 | < 0.01 |
Table 5 Two-sample t test for local consistency in the HAG compared with the HCG
Brain region | L/R | Cluster size | MNI coordinates | t | pAlphaSim | ||
---|---|---|---|---|---|---|---|
x | y | z | |||||
HAG < HCG | |||||||
Middle frontal gyrus | R | 676 | 12 | 57 | -9 | -6.28 | < 0.01 |
HAG > HCG | |||||||
Postcentral gyrus | R | 204 | 33 | -30 | 54 | 3.54 | < 0.01 |
Name of brain area | L/R | Cluster size | MNI coordinates | t | pAlphaSim | ||
---|---|---|---|---|---|---|---|
x | y | z | |||||
HAG < HCG | |||||||
Inferior orbitalfrontal gyrus | R | 389 | 15 | 60 | -6 | -5.30 | < 0.01 |
Hippocampus | L | 66 | -9 | -3 | -15 | -5.38 | < 0.01 |
Table 6 Two-sample t test of ALFF in HAG compared with HCG
Name of brain area | L/R | Cluster size | MNI coordinates | t | pAlphaSim | ||
---|---|---|---|---|---|---|---|
x | y | z | |||||
HAG < HCG | |||||||
Inferior orbitalfrontal gyrus | R | 389 | 15 | 60 | -6 | -5.30 | < 0.01 |
Hippocampus | L | 66 | -9 | -3 | -15 | -5.38 | < 0.01 |
Brain region | L/R | Cluster size | MNI coordinates | t | pAlphaSim | ||
---|---|---|---|---|---|---|---|
x | y | z | |||||
HAG>HCG | |||||||
Caudate | R | 192 | 27 | 12 | -9 | 4.61 | < 0.01 |
HAG<HCG | |||||||
Middle temporal gyrus | R | 205 | 33 | 3 | -39 | -4.51 | < 0.01 |
precentral gyrus | L | 853 | -30 | -21 | 60 | -4.17 | < 0.01 |
Table 7 Two-sample t test with the right inferior orbitofrontal gyrus as the region of interest in two groups
Brain region | L/R | Cluster size | MNI coordinates | t | pAlphaSim | ||
---|---|---|---|---|---|---|---|
x | y | z | |||||
HAG>HCG | |||||||
Caudate | R | 192 | 27 | 12 | -9 | 4.61 | < 0.01 |
HAG<HCG | |||||||
Middle temporal gyrus | R | 205 | 33 | 3 | -39 | -4.51 | < 0.01 |
precentral gyrus | L | 853 | -30 | -21 | 60 | -4.17 | < 0.01 |
Figure 11. The strength of right inferior orbitofrontal gyrus-right middle temporal gyrus functional connection correlated with the duration of medication in the HAG.
[1] |
Albein-Urios, N., Verdejo-Román, J., Asensio, S., Soriano-Mas, C., Martínez-gonzález, J. M., & Verdejo-Garcia, A. (2014). Re-appraisal of negative emotions in cocaine dependence: Dysfunctional corticolimbic activation and connectivity. Addiction Biology, 19(3), 415-426.
doi: 10.1111/j.1369-1600.2012.00497.x pmid: 22978709 |
[2] |
Belin, D., Mar, A. C., Dalley, J. W., Robbins, T. W., & Everitt, B. J. (2008). High impulsivity predicts the switch to compulsive cocaine-taking. Science, 320(5881), 1352-1355.
doi: 10.1126/science.1158136 URL |
[3] |
Cheng, G. L. F., Liu, Y.-P., Chan, C. C. H., So, K.-F., Zeng, H., & Lee, T. M. C. (2015). Neurobiological underpinnings of sensation seeking trait in heroin abusers. European Neuropsychopharmacology, 25(11), 1968-1980.
doi: 10.1016/j.euroneuro.2015.07.023 URL |
[4] | Connock, M., Stevens, C., Fry-Smith, A., Jowett, S., Fitzmaurice, D., Moore, D., & Song, F. (2007). Clinical effectiveness and cost-effectiveness of different models of managing long-term oral anticoagulation therapy: A systematic review and economic modelling. Health Technology Assessment, 11(38), iii-iv, ix-66. |
[5] |
Dalley, J. W., Fryer, T. D., Brichard, L., Robinson, E. S. J., Theobald, D. E. H., Lääne, K., … Robbins, T. W. (2007). Nucleus accumbens D2/3 receptors predict trait impulsivity and cocaine reinforcement. Science, 315(5816), 1267-1270.
doi: 10.1126/science.1137073 URL |
[6] | Dalley, J. W., & Robbins, T. W. (2017). Fractionating impulsivity: Neuropsychiatric implications. Nature Reviews Neuroscience, 18(3), 158-171. |
[7] | Deserno, L., Wilbertz, T., Reiter, A., Horstmann, A., Neumann, J., Villringer, A., … Schlagenhauf, F. (2015). Lateral prefrontal model-based signatures are reduced in healthy individuals with high trait impulsivity. Translational Psychiatry, 5(10), 1-9. |
[8] |
du Boisgueheneuc, F., Levy, R., Volle, E., Seassau, M., Duffau, H., Kinkingnehun, S., … Dubois, B. (2006). Functions of the left superior frontal gyrus in humans: A lesion study. Brain, 129(12), 3315-3328.
doi: 10.1093/brain/awl244 URL |
[9] |
Ersche, K. D., Jones, P. S., Williams, G. B., Smith, D. G., Bullmore, E. T., & Robbins, T. W. (2013). Distinctive personality traits and neural correlates associated with stimulant drug use versus familial risk of stimulant dependence. Biological Psychiatry, 74(2), 137-144.
doi: 10.1016/j.biopsych.2012.11.016 pmid: 23273722 |
[10] |
Ersche, K. D., Jones, P., Williams, G., Turton, A., Robbins, T., & Bullmore, E. (2012). Abnormal brain structure implicated in stimulant drug addiction. Science, 335(6068), 601-604.
doi: 10.1126/science.1214463 URL |
[11] |
Ersche, K. D., Turton, A. J., Pradhan, S., Bullmore, E. T., & Robbins, T. W. (2010). Drug addiction endophenotypes: Impulsive versus sensation-seeking personality traits. Biological Psychiatry, 68(8), 770-773.
doi: 10.1016/j.biopsych.2010.06.015 pmid: 20678754 |
[12] |
Everitt, B. J., & Robbins, T. W. (2016). Drug Addiction: Updating actions to habits to compulsions ten years on. In S. T. Fiske (Ed.), Annual Review of Psychology, 67, 23-50.
doi: 10.1146/annurev-psych-122414-033457 pmid: 26253543 |
[13] |
Fu, L.-P., Bi, G.-H., Zou, Z.-T., Wang, Y., Ye, E.-M., Ma, L., … Yang, Z. (2008). Impaired response inhibition function in abstinent heroin dependents: An fMRI study. Neuroscience Letters, 438(3), 322-326.
doi: 10.1016/j.neulet.2008.04.033 URL |
[14] |
Gallagher, H. L., Happe, F., Brunswick, N., Fletcher, P. C., Frith, U., & Frith, C. D. (2000). Reading the mind in cartoons and stories: An fMRI study of “theory of mind” in verbal and nonverbal tasks. Neuropsychologia, 38(1), 11-21.
pmid: 10617288 |
[15] |
Gardini, S., & Venneri, A. (2012). Reduced grey matter in the posterior insula as a structural vulnerability or diathesis to addiction. Brain Research Bulletin, 87(2-3), 205-211.
doi: 10.1016/j.brainresbull.2011.11.021 pmid: 22178355 |
[16] |
Goldstein, R. Z., & Volkow, N. D. (2002). Drug addiction and its underlying neurobiological basis: Neuroimaging evidence for the involvement of the frontal cortex. American Journal of Psychiatry, 159(10), 1642-1652.
pmid: 12359667 |
[17] |
Grusser, S. M., Wrase, J., Klein, S., Hermann, D., Smolka, M. N., Ruf, M., … Heinz, A. (2004). Cue-induced activation of the striatum and medial prefrontal cortex is associated with subsequent relapse in abstinent alcoholics. Psychopharmacology, 175(3), 296-302.
doi: 10.1007/s00213-004-1828-4 URL |
[18] |
Hassani-Abharian, P., Ganjgahi, H., Tabatabaei-Jafari, H., Oghabian, M. A., Mokri, A., & Ekhtiari, H. (2015). Exploring neural correlates of different dimensions in drug craving self-reports among heroin dependents. Basic and Clinical Neuroscience, 6(4), 271-283.
pmid: 26649165 |
[19] | He, Z., Zhou, X.-H., Wang, X.-Y., Liu, J., & Hao, W. (2008). Longitudinal observation on brain structure in the heroin dependence patients during abstince. Chinese Journal of Clinical Psychology, 16(4), 358-359. |
[20] |
Hobkirk, A. L., Bell, R. P., Utevsky, A. V., Huettel, S., & Meade, C. S. (2019). Reward and executive control network resting-state functional connectivity is associated with impulsivity during reward-based decision making for cocaine users. Drug and Alcohol Dependence, 194, 32-39.
doi: 10.1016/j.drugalcdep.2018.09.013 |
[21] |
Hogarth, L., Chase, H. W., & Baess, K. (2012). Impaired goal-directed behavioural control in human impulsivity. Quarterly Journal of Experimental Psychology, 65(2), 305-316.
doi: 10.1080/17470218.2010.518242 URL |
[22] |
Hu, Y., Salmeron, B. J., Gu, H., Stein, E. A., & Yang, Y. (2015). Impaired functional connectivity within and between frontostriatal circuits and its association with compulsive drug use and trait impulsivity in cocaine addiction. Jama Psychiatry, 72(6), 584-592.
doi: 10.1001/jamapsychiatry.2015.1 URL |
[23] |
Jia, X. Z., Wang, J., Sun, H. Y., Zhang, H., Liao, W., Wang, Z., … Zang, Y. F. (2019). RESTplus: An improved toolkit for resting-state functional magnetic resonance imaging data processing. Science Bulletin, 64(14), 953-954.
doi: 10.1016/j.scib.2019.05.008 URL |
[24] | Keihani, A., Ekhtiari, H., Batouli, S. A. H., Shahbabaie, A., Sadighi, N., Mirmohammad, M., & Oghabian, M. A. (2017). Lower gray matter density in the anterior cingulate cortex and putamen can be traceable in chronic heroin dependents after over three months of successful abstinence. Iranian Journal of Radiology, 14(3), e41858. |
[25] |
Koob, G. F., & Volkow, N. D. (2010). Neurocircuitry of addiction. Neuropsychopharmacology, 35(1), 217-238.
doi: 10.1038/npp.2009.110 URL |
[26] |
Koob, G. F., & Volkow, N. D. (2016). Neurobiology of addiction: A neurocircuitry analysis. Lancet Psychiatry, 3(8), 760-773.
doi: 10.1016/S2215-0366(16)00104-8 URL |
[27] |
Lench, D. H., DeVries, W., & Hanlon, C. A. (2017). The effect of task difficulty on motor performance and frontal-striatal connectivity in cocaine users. Drug and Alcohol Dependence, 173, 178-184.
doi: 10.1016/j.drugalcdep.2016.12.008 URL |
[28] |
Li, M., Tian, J., Zhang, R., Qiu, Y., Wen, X., Ma, X., … Huang, R. (2014). Abnormal cortical thickness in heroin-dependent individuals. Neuroimage, 88, 295-307.
doi: 10.1016/j.neuroimage.2013.10.021 URL |
[29] |
Liu, H., Hao, Y., Kaneko, Y., Ouyang, X., Zhang, Y., Xu, L., … Liu, Z. (2009). Frontal and cingulate gray matter volume reduction in heroin dependence: Optimized voxel-based morphometry. Psychiatry and Clinical Neurosciences, 63(4), 563-568.
doi: 10.1111/pcn.2009.63.issue-4 URL |
[30] |
Martz, M. E., Zucker, R. A., Schulenberg, J. E., & Heitzeg, M. M. (2018). Psychosocial and neural indicators of resilience among youth with a family history of substance use disorder. Drug and Alcohol Dependence, 185, 198-206.
doi: 10.1016/j.drugalcdep.2017.12.015 URL |
[31] |
McHugh, M. J., Gu, H., Yang, Y., Adinoff, B., & Stein, E. A. (2015). Executive control network connectivity strength protects against relapse to cocaine use. Addiction Biology, 22(6), 1790-1801.
doi: 10.1111/adb.12448 URL |
[32] |
Morein-Zamir, S., & Robbins, T. W. (2015). Fronto-striatal circuits in response-inhibition: Relevance to addiction. Brain Research, 1628, 117-129.
doi: 10.1016/j.brainres.2014.09.012 pmid: 25218611 |
[33] |
Pattij, T., & de Vries, T. J. (2013). The role of impulsivity in relapse vulnerability. Current Opinion in Neurobiology, 23(4), 700-705.
doi: 10.1016/j.conb.2013.01.023 pmid: 23462336 |
[34] |
Prisciandaro, J. J., Myrick, H., Henderson, S., McRae-Clark, A. L., & Brady, K. T. (2013). Prospective associations between brain activation to cocaine and no-go cues and cocaine relapse. Drug and Alcohol Dependence, 131(1-2), 44-49.
doi: 10.1016/j.drugalcdep.2013.04.008 URL |
[35] |
Qiu, Y. W., Su, H. H., Lv, X. F., Ma, X. F., Jiang, G. H., & Tian, J. Z. (2017). Intrinsic brain network abnormalities in codeine-containing cough syrup-dependent male individuals revealed in resting-state fMRI. Journal of Magnetic Resonance Imaging, 45(1), 177-186.
doi: 10.1002/jmri.25352 URL |
[36] | Ray, S., Gohel, S., & Biswal, B. B. (2015). Altered functional connectivity strength in abstinent chronic cocaine smokers compared to healthy controls. Biological Psychiatry, 5(8), 476-486. |
[37] |
Shen, Y., Wang, E., Wang, X., & Lou, M. (2012). Disrupted integrity of white matter in heroin-addicted subjects at different abstinent time. Journal of Addiction Medicine, 6(2), 172-176.
doi: 10.1097/ADM.0b013e318252db94 URL |
[38] |
Tabatabaei-Jafari, H., Ekhtiari, H., Ganjgahi, H., Hassani-Abharian, P., Oghabian, M.-A., Moradi, A., … Zarei, M. (2014). Patterns of brain activation during craving in heroin dependents successfully treated by methadone maintenance and abstinence-based treatments. Journal of Addiction Medicine, 8(2), 123-129.
doi: 10.1097/ADM.0000000000000022 pmid: 24637623 |
[39] |
Vaquero, L., Cámara, E., Sampedro, F., Pérez de los Cobos, J., Batlle, F., Fabregas, J. M., … Riba, J. (2017). Cocaine addiction is associated with abnormal prefrontal function, increased striatal connectivity and sensitivity to monetary incentives, and decreased connectivity outside the human reward circuit. Addiction Biology, 22(3), 844-856.
doi: 10.1111/adb.12356 pmid: 26786150 |
[40] |
Wang, L., Zou, F., Zhai, T., Lei, Y., Tan, S., Jin, X., … Yang, Z. (2016). Abnormal gray matter volume and resting-state functional connectivity in former heroin-dependent individuals abstinent for multiple years. Addiction Biology, 21(3), 646-656.
doi: 10.1111/adb.12228 URL |
[41] |
Wang, P., Yan, R., Miao, X., & Zeng, H. (2019). Impulsivity or habitual behavior? The function and mechanism of impulsivity in different phases of drug addiction. Advances in Psychological Science, 27(5), 834-842.
doi: 10.3724/SP.J.1042.2019.00834 URL |
[42] |
Wang, X., Li, B., Zhou, X., Liao, Y., Tang, J., Liu, T., … Hao, W. (2012). Changes in brain gray matter in abstinent heroin addicts. Drug and Alcohol Dependence, 126(3), 304-308.
doi: 10.1016/j.drugalcdep.2012.05.030 URL |
[43] |
Wei, X., Li, W., Chen, J., Li, Y., Zhu, J., Shi, H., … Wang, W. (2019). Assessing drug cue-induced brain response in heroin dependents treated by methadone maintenance and protracted abstinence measures. Brain Imaging and Behavior, 14(4), 1221-1229.
doi: 10.1007/s11682-019-00051-5 URL |
[44] |
Wollman, S. C., Alhassoon, O. M., Stern, M. J., Hall, M. G., Rompogren, J., Kimmel, C. L., & Perez-Figueroa, A. M. (2015). White matter abnormalities in long-term heroin users: A preliminary neuroimaging meta-analysis. American Journal of Drug and Alcohol Abuse, 41(2), 133-138.
doi: 10.3109/00952990.2014.985829 URL |
[45] | Yan, X., Li, W., Wang, Y., Li, Q., Li, Y., Zhu, J., … Wang, W. (2015). A DTI study of brain white matter integrity in heroin addicts under short-time abstinence. Chinese Journal of Magnetic Resonance Imaging, 6(2), 98-103. |
[46] | Yan, X., Li, W., Wang, Y., Li, Q., Zhu, J., Li, Y., & Wang, W. (2016). Diffsion tensor imgaing evalutaion of effects of abstinence tiime on white integrity of heroin addicts. Chinese Journal of Medical Imaging Technology, 32(1), 25-29. |
[47] | Yang, L., Zhang, Y., Cao, H., Xu, J., Du, J.-H., & Zhang, J.-X. (2019). Restorability of Working Memory in Heroin Addicts with Short-term Withdrawal. Chinese Journal of Clinical Psychology, 27(4), 652-656. |
[48] |
Yuan, Y., Zhu, Z., Shi, J., Zou, Z., Yuan, F., Liu, Y., … Weng, X. (2009). Gray matter density negatively correlates with duration of heroin use in young lifetime heroin-dependent individuals. Brain and Cognition, 71(3), 223-228.
doi: 10.1016/j.bandc.2009.08.014 pmid: 19775795 |
[49] |
Zeng, H., Su, D., Wang, P., Wang, M., Vollstädt-Klein, S., Chen, Q., & Ye, H. (2018). The action representation elicited by different types of drug-related cues in heroin-abstinent individuals. Frontiers in Behavioral Neuroscience, 12, 1-11.
doi: 10.3389/fnbeh.2018.00001 URL |
[50] |
Zeng, H., Su, D. Q., Jiang, X., Chen, Q., & Ye, H. S. (2015). Activations of sensory-motor brain regions in response to different types of drug-associated cues. Acta Psychologica Sinica, 47(7), 890-902.
doi: 10.3724/SP.J.1041.2015.00890 URL |
[51] | Zhang, R., Geng, X., & Lee, T. M. C. (2017). Large-scale functional neural network correlates of response inhibition: An fMRI meta-analysis. Brain Structure & Function, 222(9), 3973-3990. |
[52] | Zhou, P., Liu, D., Zhou, R., Sun, B., Xiao, J., & Li, S. (2014). Sensitivity to monetary reward in drug abstainers at different post-drug withdrawal phases: An ERP study. Chinese Journal of Clinical Psychology, 22(4), 571-576. |
[53] | Zhou, P., Zhou, R., Hui, Y., Fan, W., Sun, B., & Xiao, J. (2014). Different healing phases of heroin abstainers' processing to emotional stimuli: The evidence from erp research. Psychological Exploration, 34(2), 172-178. |
[54] |
Zhu, X., Cortes, C. R., Mathur, K., Tomasi, D., & Momenan, R. (2017). Model-free functional connectivity and impulsivity correlates of alcohol dependence: A resting-state study. Addiction Biology, 22(1), 206-217.
doi: 10.1111/adb.12272 pmid: 26040546 |
[55] |
Zilverstand, A., Huang, A. S., Alia-Klein, N., & Goldstein, R. Z. (2018). Neuroimaging Impaired Response Inhibition and Salience Attribution in Human Drug Addiction: A Systematic Review. Neuron, 98(5), 886-903.
doi: S0896-6273(18)30282-4 pmid: 29879391 |
[1] | JIN Hua, JIA Lina, YIN Xiaojuan, YAN Shizhen, WEI Shilin, CHEN Juntao. The neural basis of the continued influence effect of misinformation [J]. Acta Psychologica Sinica, 2022, 54(4): 343-354. |
[2] | LI Yiman, LIU Cheng, ZHUANG Kaixiang, HUO Tengbin, XU Pengfei, LUO Yuejia, QIU Jiang. The influence of personality traits and brain functional connectivity on social networks [J]. Acta Psychologica Sinica, 2021, 53(12): 1335-1347. |
[3] | CUI Fang, YANG Jiamiao, GU Ruolei, LIU Jie. Functional connectivities of the right temporoparietal junction and moral network predict social framing effect: Evidence from resting-state fMRI [J]. Acta Psychologica Sinica, 2021, 53(1): 55-66. |
[4] | Zhiling ZHENG,Pengfei WANG,Dequan SU,Weijie GUO,Nan SUN,Yankun MA,Hong ZENG. Differences in brain reactivity in relation to different types of drug-associated cues and disinhibition among heroin addicts: An ERP study [J]. Acta Psychologica Sinica, 2020, 52(3): 317-328. |
[5] | Qi JIANG, Lulu HOU, Jiang QIU, Changran LI, Huanzhen WANG. The relationship between the caudate nucleus-orbitomedial prefrontal cortex connectivity and reactive aggression: A resting-state fMRI study [J]. Acta Psychologica Sinica, 2018, 50(6): 655-666. |
[6] | SUN Yachen, ZHANG Hanqi, LI Yonghui, XUE Gui, HE Qinghua. To switch or not to switch?Cognitive and neural mechanisms of card switching behavior [J]. Acta Psychologica Sinica, 2018, 50(12): 1449-1459. |
Viewed | ||||||
Full text |
|
|||||
Abstract |
|
|||||