Search

Your search keyword '"Lubke, G H"' showing total 19 results
Start Over Author "Lubke, G H"
19 results on '"Lubke, G H"'

1. Investigating Group Differences on Cognitive Tests Using Spearman's Hypothesis: An Evaluation of Jensen's Method.

Author

Lubke, G. H., Dolan, C. V., and Kelderman, H.

Abstract

Investigated the validity of inferences from A. Jensen's method of studying group differences on cognitive tests (1985) and compared the validity of inferences to inferences based on multi-group confirmatory factor analysis using constructed population covariance matrices. Results show the insensitivity of Jensen's method and the superiority of multi-group confirmatory factor analysis. (SLD)

Published
2001

4. Genome-wide association study of lifetime cannabis use based on a large meta-analytic sample of 32 330 subjects from the International Cannabis Consortium

Author

Stringer, S., Minică, C. C., Verweij, K. J. H., Mbarek, H., Bernard, M., Derringer, J., van Eijk, K. R., Isen, J. D., Loukola, A., Maciejewski, D. F., Mihailov, E., van der Most, P. J., Sánchez-Mora, C., Roos, L., Sherva, R., Walters, R., Ware, J. J., Abdellaoui, A., Bigdeli, T. B., Branje, S. J. T., Brown, S. A., Bruinenberg, M., Casas, M., Esko, T., Garcia-Martínez, Iris, Gordon, Scott D., Harris, J. M., Hartman, C. A., Henders, A. K., Heath, A. C., Hickie, Ian B., Hickman, M., Hopfer, C. J., Hottenga, J. J., Huizink, A. C., Irons, D. E., Kahn, R. S., Korhonen, T., Kranzler, H. R., Krauter, K., van Lier, P. A. C., Lubke, G. H., Madden, P. A. F., Mägi, Reedik, McGue, M. K., Medland, S. E., Meeus, W. H. J., Miller, M. B., Montgomery, G. W., Nivard, M. G., Nolte, I M., Oldehinkel, A. J., Pausova, Z., Qaiser, B., Quaye, L., Ramos-Quiroga, Josep Antoni, Richarte, Vanesa, Rose, R. J., Shin, J., Stallings, M. C., Stiby, A. I, Wall, T. L., Wright, M. J., Koot, H. M., Paus, T., Hewitt, J. K., Ribasés, M., Kaprio, J., Boks, M. P., Snieder, Harold, Spector, T., Munafò, M. R., Metspalu, A., Gelernter, J., Boomsma, D. I, Iacono, W. G., Martin, N. G., Gillespie, N. A., Derks, E. M., Vink, J. M., and Universitat Autònoma de Barcelona

Abstract

Cannabis is the most widely produced and consumed illicit psychoactive substance worldwide. Occasional cannabis use can progress to frequent use, abuse and dependence with all known adverse physical, psychological and social consequences. Individual differences in cannabis initiation are heritable (40-48%). The International Cannabis Consortium was established with the aim to identify genetic risk variants of cannabis use. We conducted a meta-analysis of genome-wide association data of 13 cohorts (N =32 330) and four replication samples (N =5627). In addition, we performed a gene-based test of association, estimated single-nucleotide polymorphism (SNP)-based heritability and explored the genetic correlation between lifetime cannabis use and cigarette use using LD score regression. No individual SNPs reached genome-wide significance. Nonetheless, gene-based tests identified four genes significantly associated with lifetime cannabis use: NCAM1, CADM2, SCOC and KCNT2. Previous studies reported associations of NCAM1 with cigarette smoking and other substance use, and those of CADM2 with body mass index, processing speed and autism disorders, which are phenotypes previously reported to be associated with cannabis use. Furthermore, we showed that, combined across the genome, all common SNPs explained 13-20% (P

Published
2016

5. Genome-wide association study of lifetime cannabis use based on a large meta-analytic sample of 32 330 subjects from the International Cannabis Consortium

Author

Stringer, S, Minică, C C, Verweij, K J H, Mbarek, H, Bernard, M, Derringer, J, van Eijk, K R, Isen, J D, Loukola, A, Maciejewski, D F, Mihailov, E, van der Most, P J, Sánchez-Mora, C, Roos, L, Sherva, R, Walters, R, Ware, J J, Abdellaoui, A, Bigdeli, T B, Branje, S J T, Brown, S A, Bruinenberg, M, Casas, M, Esko, T, Garcia-Martinez, I, Gordon, S D, Harris, J M, Hartman, C A, Henders, A K, Heath, A C, Hickie, Ian B, Hickman, M, Hopfer, C J, Hottenga, J J, Huizink, A C, Irons, D E, Kahn, R S, Korhonen, T, Kranzler, H R, Krauter, K, van Lier, P A C, Lubke, G H, Madden, P A F, Mägi, R, McGue, M K, Medland, S E, Meeus, W H J, Miller, M B, Montgomery, G W, Nivard, M G, Nolte, I M, Oldehinkel, A J, Pausova, Z, Qaiser, B, Quaye, L, Ramos-Quiroga, J A, Richarte, V, Rose, R J, Shin, J, Stallings, M C, Stiby, A I, Wall, T L, Wright, M J, Koot, H M, Paus, T, Hewitt, J K, Ribasés, M, Kaprio, J, Boks, M P, Snieder, Harold, Spector, T, Munafò, M R, Metspalu, A, Gelernter, J, Boomsma, D I, Iacono, W G, Martin, N G, Gillespie, N A, Derks, E M, Vink, J M, and Universitat Autònoma de Barcelona

Abstract

Cannabis is the most widely produced and consumed illicit psychoactive substance worldwide. Occasional cannabis use can progress to frequent use, abuse and dependence with all known adverse physical, psychological and social consequences. Individual differences in cannabis initiation are heritable (40-48%). The International Cannabis Consortium was established with the aim to identify genetic risk variants of cannabis use. We conducted a meta-analysis of genome-wide association data of 13 cohorts (N =32 330) and four replication samples (N =5627). In addition, we performed a gene-based test of association, estimated single-nucleotide polymorphism (SNP)-based heritability and explored the genetic correlation between lifetime cannabis use and cigarette use using LD score regression. No individual SNPs reached genome-wide significance. Nonetheless, gene-based tests identified four genes significantly associated with lifetime cannabis use: NCAM1, CADM2, SCOC and KCNT2. Previous studies reported associations of NCAM1 with cigarette smoking and other substance use, and those of CADM2 with body mass index, processing speed and autism disorders, which are phenotypes previously reported to be associated with cannabis use. Furthermore, we showed that, combined across the genome, all common SNPs explained 13-20% (P

Published
2016

6. Genome-wide association study of lifetime cannabis use based on a large meta-analytic sample of 32330 subjects from the International Cannabis Consortium

Author

University of Helsinki, Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Clinicum, Stringer, S., Minica, C. C., Verweij, K. J. H., Mbarek, H., Bernard, M., Derringer, J., van Eijk, K. R., Isen, J. D., Loukola, A., Maciejewski, D. F., Mihailov, E., van der Most, P. J., Sanchez-Mora, C., Roos, L., Sherva, R., Walters, R., Ware, J. J., Abdellaoui, A., Bigdeli, T. B., Branje, S. J. T., Brown, S. A., Bruinenberg, M., Casas, M., Esko, T., Garcia-Martinez, I., Gordon, S. D., Harris, J. M., Hartman, C. A., Henders, A. K., Heath, A. C., Hickie, I. B., Hickman, M., Hopfer, C. J., Hottenga, J. J., Huizink, A. C., Irons, D. E., Kahn, R. S., Korhonen, T., Kranzler, H. R., Krauter, K., van Lier, P. A. C., Lubke, G. H., Madden, P. A. F., Magi, R., McGue, M. K., Medland, S. E., Meeus, W. H. J., Miller, M. B., Montgomery, G. W., Nivard, M. G., Nolte, I. M., Oldehinkel, A. J., Pausova, Z., Qaiser, B., Quaye, L., Ramos-Quiroga, J. A., Richarte, V., Rose, R. J., Shin, J., Stallings, M. C., Stiby, A. I., Wall, T. L., Wright, M. J., Koot, H. M., Paus, T., Hewitt, J. K., Ribases, M., Kaprio, J., Boks, M. P., Snieder, H., Spector, T., Munafo, M. R., Metspalu, A., Gelernter, J., Boomsma, D. I., Iacono, W. G., Martin, N. G., Gillespie, N. A., Derks, E. M., Vink, J. M., University of Helsinki, Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Clinicum, Stringer, S., Minica, C. C., Verweij, K. J. H., Mbarek, H., Bernard, M., Derringer, J., van Eijk, K. R., Isen, J. D., Loukola, A., Maciejewski, D. F., Mihailov, E., van der Most, P. J., Sanchez-Mora, C., Roos, L., Sherva, R., Walters, R., Ware, J. J., Abdellaoui, A., Bigdeli, T. B., Branje, S. J. T., Brown, S. A., Bruinenberg, M., Casas, M., Esko, T., Garcia-Martinez, I., Gordon, S. D., Harris, J. M., Hartman, C. A., Henders, A. K., Heath, A. C., Hickie, I. B., Hickman, M., Hopfer, C. J., Hottenga, J. J., Huizink, A. C., Irons, D. E., Kahn, R. S., Korhonen, T., Kranzler, H. R., Krauter, K., van Lier, P. A. C., Lubke, G. H., Madden, P. A. F., Magi, R., McGue, M. K., Medland, S. E., Meeus, W. H. J., Miller, M. B., Montgomery, G. W., Nivard, M. G., Nolte, I. M., Oldehinkel, A. J., Pausova, Z., Qaiser, B., Quaye, L., Ramos-Quiroga, J. A., Richarte, V., Rose, R. J., Shin, J., Stallings, M. C., Stiby, A. I., Wall, T. L., Wright, M. J., Koot, H. M., Paus, T., Hewitt, J. K., Ribases, M., Kaprio, J., Boks, M. P., Snieder, H., Spector, T., Munafo, M. R., Metspalu, A., Gelernter, J., Boomsma, D. I., Iacono, W. G., Martin, N. G., Gillespie, N. A., Derks, E. M., and Vink, J. M.

Abstract

Cannabis is the most widely produced and consumed illicit psychoactive substance worldwide. Occasional cannabis use can progress to frequent use, abuse and dependence with all known adverse physical, psychological and social consequences. Individual differences in cannabis initiation are heritable (40-48%). The International Cannabis Consortium was established with the aim to identify genetic risk variants of cannabis use. We conducted a meta-analysis of genome-wide association data of 13 cohorts (N = 32 330) and four replication samples (N = 5627). In addition, we performed a gene-based test of association, estimated single-nucleotide polymorphism (SNP)-based heritability and explored the genetic correlation between lifetime cannabis use and cigarette use using LD score regression. No individual SNPs reached genome-wide significance. Nonetheless, gene-based tests identified four genes significantly associated with lifetime cannabis use: NCAM1, CADM2, SCOC and KCNT2. Previous studies reported associations of NCAM1 with cigarette smoking and other substance use, and those of CADM2 with body mass index, processing speed and autism disorders, which are phenotypes previously reported to be associated with cannabis use.

Published
2016

7. Genome-wide association study of lifetime cannabis use based on a large meta-analytic sample of 32 330 subjects from the International Cannabis Consortium

Author

Adolescent development: Characteristics and determinants, Afd culturele antropologie, Leerstoel Branje, Leerstoel Meeus, Sub Biomol.Mass Spectrometry & Proteom., Sub High energy Astrophysics begr 1/1/15, Stringer, S, Minică, C C, Verweij, K J H, Mbarek, H, Bernard, M, Derringer, J, van Eijk, K R, Isen, J D, Loukola, A, Maciejewski, Dominique F., Mihailov, E, van der Most, P J, Sánchez-Mora, C, Roos, L, Sherva, R, Walters, R, Ware, J J, Abdellaoui, A, Bigdeli, T B, Branje, S J T, Brown, S A, Bruinenberg, M, Casas, M, Esko, T, Garcia-Martinez, I, Gordon, S D, Harris, J M, Hartman, C A, Henders, A K, Heath, A C, Hickie, I B, Hickman, M, Hopfer, C J, Hottenga, J J, Huizink, A C, Irons, D E, Kahn, R S, Korhonen, T, Kranzler, H R, Krauter, K, van Lier, P A C, Lubke, G H, Madden, P A F, Mägi, R, McGue, M K, Medland, S E, Meeus, W H J, Miller, M B, Montgomery, G W, Nivard, M G, Nolte, I M, Oldehinkel, A J, Pausova, Z, Qaiser, B, Quaye, L, Ramos-Quiroga, J A, Richarte, V, Rose, R J, Shin, J, Stallings, M C, Stiby, A I, Wall, T L, Wright, M J, Koot, H M, Paus, T, Hewitt, J K, Ribasés, M, Kaprio, J, Boks, M P, Snieder, H, Spector, T, Munafò, M R, Metspalu, A, Gelernter, J, Boomsma, D I, Iacono, W G, Martin, N G, Gillespie, N A, Derks, E M, Vink, J M, Adolescent development: Characteristics and determinants, Afd culturele antropologie, Leerstoel Branje, Leerstoel Meeus, Sub Biomol.Mass Spectrometry & Proteom., Sub High energy Astrophysics begr 1/1/15, Stringer, S, Minică, C C, Verweij, K J H, Mbarek, H, Bernard, M, Derringer, J, van Eijk, K R, Isen, J D, Loukola, A, Maciejewski, Dominique F., Mihailov, E, van der Most, P J, Sánchez-Mora, C, Roos, L, Sherva, R, Walters, R, Ware, J J, Abdellaoui, A, Bigdeli, T B, Branje, S J T, Brown, S A, Bruinenberg, M, Casas, M, Esko, T, Garcia-Martinez, I, Gordon, S D, Harris, J M, Hartman, C A, Henders, A K, Heath, A C, Hickie, I B, Hickman, M, Hopfer, C J, Hottenga, J J, Huizink, A C, Irons, D E, Kahn, R S, Korhonen, T, Kranzler, H R, Krauter, K, van Lier, P A C, Lubke, G H, Madden, P A F, Mägi, R, McGue, M K, Medland, S E, Meeus, W H J, Miller, M B, Montgomery, G W, Nivard, M G, Nolte, I M, Oldehinkel, A J, Pausova, Z, Qaiser, B, Quaye, L, Ramos-Quiroga, J A, Richarte, V, Rose, R J, Shin, J, Stallings, M C, Stiby, A I, Wall, T L, Wright, M J, Koot, H M, Paus, T, Hewitt, J K, Ribasés, M, Kaprio, J, Boks, M P, Snieder, H, Spector, T, Munafò, M R, Metspalu, A, Gelernter, J, Boomsma, D I, Iacono, W G, Martin, N G, Gillespie, N A, Derks, E M, and Vink, J M

Published
2016

8. Genome-wide association study of lifetime cannabis use based on a large meta-analytic sample of 32330 subjects from the International Cannabis Consortium

Author

Stringer, S., Minica, C. C., Verweij, K. J. H., Mbarek, H., Bernard, M., Derringer, J., van Eijk, K. R., Isen, J. D., Loukola, A., Maciejewski, D. F., Mihailov, E., van der Most, P. J., Sanchez-Mora, C., Roos, L., Sherva, R., Walters, R., Ware, J. J., Abdellaoui, A., Bigdeli, T. B., Branje, S. J. T., Brown, S. A., Bruinenberg, M., Casas, M., Esko, T., Garcia-Martinez, I., Gordon, S. D., Harris, J. M., Hartman, C. A., Henders, A. K., Heath, A. C., Hickie, I. B., Hickman, M., Hopfer, C. J., Hottenga, J. J., Huizink, A. C., Irons, D. E., Kahn, R. S., Korhonen, T., Kranzler, H. R., Krauter, K., van Lier, P. A. C., Lubke, G. H., Madden, P. A. F., Magi, R., McGue, M. K., Medland, S. E., Meeus, W. H. J., Miller, M. B., Montgomery, G. W., Nivard, M. G., Nolte, I. M., Oldehinkel, A. J., Pausova, Z., Qaiser, B., Quaye, L., Ramos-Quiroga, J. A., Richarte, V., Rose, R. J., Shin, J., Stallings, M. C., Stiby, A. I., Wall, T. L., Wright, M. J., Koot, H. M., Paus, T., Hewitt, J. K., Ribases, M., Kaprio, J., Boks, M. P., Snieder, H., Spector, T., Munafo, M. R., Metspalu, A., Gelernter, J., Boomsma, D. I., Iacono, W. G., Martin, N. G., Gillespie, N. A., Derks, E. M., Vink, J. M., Stringer, S., Minica, C. C., Verweij, K. J. H., Mbarek, H., Bernard, M., Derringer, J., van Eijk, K. R., Isen, J. D., Loukola, A., Maciejewski, D. F., Mihailov, E., van der Most, P. J., Sanchez-Mora, C., Roos, L., Sherva, R., Walters, R., Ware, J. J., Abdellaoui, A., Bigdeli, T. B., Branje, S. J. T., Brown, S. A., Bruinenberg, M., Casas, M., Esko, T., Garcia-Martinez, I., Gordon, S. D., Harris, J. M., Hartman, C. A., Henders, A. K., Heath, A. C., Hickie, I. B., Hickman, M., Hopfer, C. J., Hottenga, J. J., Huizink, A. C., Irons, D. E., Kahn, R. S., Korhonen, T., Kranzler, H. R., Krauter, K., van Lier, P. A. C., Lubke, G. H., Madden, P. A. F., Magi, R., McGue, M. K., Medland, S. E., Meeus, W. H. J., Miller, M. B., Montgomery, G. W., Nivard, M. G., Nolte, I. M., Oldehinkel, A. J., Pausova, Z., Qaiser, B., Quaye, L., Ramos-Quiroga, J. A., Richarte, V., Rose, R. J., Shin, J., Stallings, M. C., Stiby, A. I., Wall, T. L., Wright, M. J., Koot, H. M., Paus, T., Hewitt, J. K., Ribases, M., Kaprio, J., Boks, M. P., Snieder, H., Spector, T., Munafo, M. R., Metspalu, A., Gelernter, J., Boomsma, D. I., Iacono, W. G., Martin, N. G., Gillespie, N. A., Derks, E. M., and Vink, J. M.

Abstract

Cannabis is the most widely produced and consumed illicit psychoactive substance worldwide. Occasional cannabis use can progress to frequent use, abuse and dependence with all known adverse physical, psychological and social consequences. Individual differences in cannabis initiation are heritable (40–48%). The International Cannabis Consortium was established with the aim to identify genetic risk variants of cannabis use. We conducted a meta-analysis of genome-wide association data of 13 cohorts (N=32 330) and four replication samples (N=5627). In addition, we performed a gene-based test of association, estimated single-nucleotide polymorphism (SNP)-based heritability and explored the genetic correlation between lifetime cannabis use and cigarette use using LD score regression. No individual SNPs reached genome-wide significance. Nonetheless, gene-based tests identified four genes significantly associated with lifetime cannabis use: NCAM1, CADM2, SCOC and KCNT2. Previous studies reported associations of NCAM1 with cigarette smoking and other substance use, and those of CADM2 with body mass index, processing speed and autism disorders, which are phenotypes previously reported to be associated with cannabis use. Furthermore, we showed that, combined across the genome, all common SNPs explained 13–20% (P<0.001) of the liability of lifetime cannabis use. Finally, there was a strong genetic correlation (rg=0.83; P=1.85 × 10−8) between lifetime cannabis use and lifetime cigarette smoking implying that the SNP effect sizes of the two traits are highly correlated. This is the largest meta-analysis of cannabis GWA studies to date, revealing important new insights into the genetic pathways of lifetime cannabis use. Future functional studies should explore the impact of the identified genes on the biological mechanisms of cannabis use.

Published
2016

9. Genome-wide association study of lifetime cannabis use based on a large meta-analytic sample of 32 330 subjects from the International Cannabis Consortium

Author

Stringer, S, primary, Minică, C C, additional, Verweij, K J H, additional, Mbarek, H, additional, Bernard, M, additional, Derringer, J, additional, van Eijk, K R, additional, Isen, J D, additional, Loukola, A, additional, Maciejewski, D F, additional, Mihailov, E, additional, van der Most, P J, additional, Sánchez-Mora, C, additional, Roos, L, additional, Sherva, R, additional, Walters, R, additional, Ware, J J, additional, Abdellaoui, A, additional, Bigdeli, T B, additional, Branje, S J T, additional, Brown, S A, additional, Bruinenberg, M, additional, Casas, M, additional, Esko, T, additional, Garcia-Martinez, I, additional, Gordon, S D, additional, Harris, J M, additional, Hartman, C A, additional, Henders, A K, additional, Heath, A C, additional, Hickie, I B, additional, Hickman, M, additional, Hopfer, C J, additional, Hottenga, J J, additional, Huizink, A C, additional, Irons, D E, additional, Kahn, R S, additional, Korhonen, T, additional, Kranzler, H R, additional, Krauter, K, additional, van Lier, P A C, additional, Lubke, G H, additional, Madden, P A F, additional, Mägi, R, additional, McGue, M K, additional, Medland, S E, additional, Meeus, W H J, additional, Miller, M B, additional, Montgomery, G W, additional, Nivard, M G, additional, Nolte, I M, additional, Oldehinkel, A J, additional, Pausova, Z, additional, Qaiser, B, additional, Quaye, L, additional, Ramos-Quiroga, J A, additional, Richarte, V, additional, Rose, R J, additional, Shin, J, additional, Stallings, M C, additional, Stiby, A I, additional, Wall, T L, additional, Wright, M J, additional, Koot, H M, additional, Paus, T, additional, Hewitt, J K, additional, Ribasés, M, additional, Kaprio, J, additional, Boks, M P, additional, Snieder, H, additional, Spector, T, additional, Munafò, M R, additional, Metspalu, A, additional, Gelernter, J, additional, Boomsma, D I, additional, Iacono, W G, additional, Martin, N G, additional, Gillespie, N A, additional, Derks, E M, additional, and Vink, J M, additional

Published
2016
Full Text
View/download PDF

12. Genome-wide analyses of borderline personality features

Author

Lubke, G H, primary, Laurin, C, additional, Amin, N, additional, Hottenga, J J, additional, Willemsen, G, additional, van Grootheest, G, additional, Abdellaoui, A, additional, Karssen, L C, additional, Oostra, B A, additional, van Duijn, C M, additional, Penninx, B W J H, additional, and Boomsma, D I, additional

Published
2013
Full Text
View/download PDF

14. Genome-wide complex trait analysis (gcta) for complex traits including major depressive disorder and smoking

Author

Boomsma, Dorret I., Hottenga, J. J., Walters, R., Laurin, C., Eco de Geus, Gonneke Willemsen, Smit, J. H., Middeldorp, Christel M., Penninx, B. W. J. H., Vink, J. M., Lubke, G. H., Epidemiology and Data Science, Psychiatry, NCA - Anxiety & Depression, Biological Psychology, Neuroscience Campus Amsterdam - Anxiety & Depression, and Work and Organizational Psychology

Subjects
Netherlands Twin Register (NTR)

17. EMOTIONAL PROCESSING DURING GENERAL ANAESTHESIA.

Author

KERSSENS, C., LUBKE, G. H., PHAF, R. H., and BONKE, B.

Subjects
GENERAL anesthesia, EMOTIONS, EXPLICIT memory, INTRAOPERATIVE awareness, ELECTIVE surgery, PSYCHOLOGY
Published
2000

18. Memory formation during general anesthesia for emergency cesarean sections.

Author

Lubke GH, Kerssens C, Gershon RY, and Sebel PS

Subjects
Adult, Female, Humans, Models, Psychological, Pregnancy, Verbal Behavior, Anesthesia, General, Anesthesia, Obstetrical, Cesarean Section, Memory drug effects
Abstract

Background: Occurrence of explicit memory (i.e., conscious recall) has been reported especially after surgical procedures in which anesthesia is considered to be "light." In addition, previous research has shown that implicit memory (e.g., improved memory test performance in absence of conscious recall) decreases with increasing hypnotic state. The current study investigated explicit and implicit memory during emergency cesarean sections with consistently light levels of hypnotic state., Method: Words were presented via headphones, and the bispectral index was recorded throughout surgery. Memory for the presented words was tested after recovery with a word-stem completion test. Using both parts of the process dissociation procedure allowed separation of explicit and implicit memory. In the "inclusion" part of the process dissociation procedure, patients are asked to complete word stems, if possible, with the corresponding words recalled from the intraoperative presentation. In the "exclusion" part, patients are instructed to avoid the words presented intraoperatively and to use other words instead. In the absence of recall, patients are asked to use the first word that comes to mind., Results: The mean bispectral index during word presentation was 76.3 (+/-3.0). On average, the 24 patients were able to make correct inclusion-exclusion decisions: In the inclusion part, hit rates (i.e., the probability of responding with a word presented during surgery) were higher than base rates (0.37 vs. 0.31), whereas in the exclusion part hit rates were lower (0.23 vs. 0.28). Importantly, the patients made these inclusion-exclusion decisions without being able to consciously recall the words presented during surgery., Conclusions: This study shows that if words are presented at relatively light levels of anesthesia, patients are able to control their inclusion-exclusion decisions. This weak form of explicit memory can occur in the absence of conscious recall.

Published
2000
Full Text
View/download PDF

19. Dependence of explicit and implicit memory on hypnotic state in trauma patients.

Author

Lubke GH, Kerssens C, Phaf H, and Sebel PS

Subjects
Adolescent, Adult, Anesthesia, General adverse effects, Female, Humans, Male, Middle Aged, Wounds and Injuries surgery, Anesthetics, General adverse effects, Hypnosis, Memory drug effects, Wounds and Injuries psychology
Abstract

Background: It is still unclear whether memory of intraoperative events results entirely from moments of inadequate anesthesia. The current study was designed to determine whether the probability of memory declines with increasing depth of the hypnotic state., Method: A list of words was played via headphones during surgery to patients who had suffered acute trauma. Several commonly used indicators of anesthetic effect, including the bispectral index, were recorded during word presentation. First, these indicators served as predictors of the memory performance in a postoperative word stem completion test. Second, general memory performance observed in the first part was separated into explicit and implicit memory using the process dissociation procedure, and then two models of memory were compared: One model assumed that the probability of explicit and implicit memory decreases with increasing depth of hypnotic state (individual differences model), whereas the other assumed equal memory performance for all patients regardless of their level of hypnotic state., Results: General memory performance declined with decreasing bispectral index values. None of the other indicators of hypnotic state were related to general memory performance. Memory was still significant at bispectral index levels between 60 and 40. A comparison of the two models of memory resulted in a better fit of the individual differences model, thus providing evidence of a dependence of explicit and implicit memory on the hypnotic state. Quantification of explicit and implicit memory revealed a significant implicit but no reliable explicit memory performance., Conclusions: This study clearly indicates that memory is related to the depth of hypnosis. The observed memory performance should be interpreted in terms of implicit memory. Auditory information processing occurred at bispectral index levels between 60 and 40.

Published
1999
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results