Poslední úprava: Bc. Martina Kvapilová, M.Sc. (03.12.2023)
Předmět se zabývá normálním a abnormálním vývojem (neuro)behaviorálních funkcí (např. pozornosti a exekutivních funkcí). Během seminářů budou diskutovány některé z nejrozšířenějších (neuro)behaviorálních poruch (např. ASD, úzkost a deprese). Dále se budou probírat rizikové faktory a faktory modulující neurobehaviorální fungování, např. neurotransmitery, genetika, hormonální vlivy. Studenti budou číst publikace a posuzovat experimentální návrhy, výzkumné metody a teoretické základy výzkumu.<br>
Poslední úprava: Bc. Martina Kvapilová, M.Sc. (03.12.2023)
The course covers normal and abnormal life span development of (neuro)behavioural functions (e.g., higher-level functioning including attention and executive functioning). Some of the most prevalent (neuro)behavioural disorders (e.g., ASD, anxiety and depression) will be discussed. Risk factors and factors modulating neurobehavioral functioning (such as neurotransmitters, genetics, and hormonal influences) are also considered. Students will critically read publications and judge experimental designs, research methods, theories and new developments.
Cíl předmětu -
Poslední úprava: Bc. Martina Kvapilová, M.Sc. (03.12.2023)
(Neuro)psychologie studuje vztahy mezi mozkem a chováním jak u zdravého, tak u poškozeného mozku (spektrum - zranění, nemoc a vývoj). V kurzech studenti získají základní znalosti o metodách měření funkcí a chování mozku. Důraz je kladen na aplikovanou vědu a (na důkazech založenou) péči o jednotlivce. Studenti budou mimo jiné schopni číst, porozumět a diskutovat o vědeckých pracích.
Získané znalosti a dovednosti:
znalosti a schopnost vysvětlit nejčastější (neuro)behaviorální poruchy;
schopnost odlišit (neuro)behaviorální poruchy od zdravého vývoje se zaměřením na vztahy mezi mozkem a chováním;
schopnost rozlišovat modulační faktory (neuro)behaviorálního fungování.
Poslední úprava: Bc. Martina Kvapilová, M.Sc. (03.12.2023)
Aim of subject: (Neuro) psychology studies brain-behaviour relationships in healthy (normal variance) and damaged brains (broad spectrum - injury, disease, and development). The students will learn about methods to measure brain function and behaviour in the courses. The emphasis lies on applied science and (evidence-based) care for the individual. Among other things, the students will be able to read, understand and discuss scientific papers.
Gained knowledge and skills:
knowledge and ability to explain the most common (neuro)behavioural disorders;
the ability to differentiate (neuro)behavioural disorders from healthy life span development by focusing on brain-behaviour relations;
distinguishing modulating factors of (neuro)behavioural functioning.
Podmínky zakončení předmětu -
Poslední úprava: Bc. Martina Kvapilová, M.Sc. (14.02.2024)
Aktivní účast na semináři, 2 povolené absence.
Pro úspěšné zakončení předmětu je nutné zúčastnit se minimálního počtu seminářů. Absence může být nahrazena dokončením náhradního úkolu (závěrečná esej).
Poslední úprava: Bc. Martina Kvapilová, M.Sc. (14.02.2024)
Active participation during seminars; maximum of 2 absences.
Credits will be awarded to students who actively participate in a reasonable number of lectures and exercises. Attendance can be compensated by completing assigned task (essay).
Literatura -
Poslední úprava: Bc. Martina Kvapilová, M.Sc. (03.12.2023)
Povinná literatura:
Úkol 1:
Esterberg, M., & Compton, M.T. (2009). The psychosis continuum and categorical versus dimensional diagnostic approaches. Current Psychiatry Reports, 11, 179-184. doi:10.1007/s11920-009-0028-7
Fried, E. I., van Borkulo, C. D., Cramer, A. O. J., Boschloo, L., Schoevers, R. A., & Borsboom, D. (2017). Mental disorders as networks of problems: a review of recent insights. Social Psychiatry and Psychiatric Epidemiology, 52(1), 1–10.doi:10.1007/s00127-016-1319-z
Isvoranu, A. M., Borsboom, D., van Os, J., & Guloksuz, S. (2016). A Network Approach to Environmental Impact in Psychotic Disorder: Brief Theoretical Framework. Schizophr Bull, 42(4), 870-873. doi:10.1093/schbul/sbw049
Michelini, G., Palumbo, I. M., DeYoung, C. G., Latzman, R. D., & Kotov, R. (2021). Linking RDoC and HiTOP: A new interface for advancing psychiatric nosology and neuroscience. Clin Psychol Rev, 86, 102025. doi:10.1016/j.cpr.2021.102025
Vakil, E. (2012). Neuropsychological assessment: principles, rationale, and challenges. Journal of Clinical and Experimental Neuropsychology, 34, 135-150. doi:10.1080/13803395.2011.623121
Crone, E. A., & Steinbeis, N. (2017). Neural perspectives on cognitive control development during childhood and adolescence. Trends in Cognitive Sciences, 21(3), 205-215. doi: 10.1016/j.tics.2017.01.003
Diamond, A. (2013). Executive Functions. Annual Review of Psychology, 64(1), 135-168. doi:10.1146/annurev-psych-113011-143750 Po stránu 151 včetně
Lee, K., Bull, R., & Ho, R. M. (2013). Developmental changes in executive functioning. Child development, 84(6), 1933-1953. doi: 10.1111/cdev.12096
Shulman, E. P., Smith, A. R., Silva, K., Icenogle, G., Duell, N., Chein, J., & Steinberg, L. (2016). The dual systems model: Review, reappraisal, and reaffirmation. Developmental cognitive neuroscience, 17, 103-117. doi:10.1016/j.dcn.2015.12.010
Cabeza, R., Albert, M., Belleville, S., Craik, F. I. M., Duarte, A., Grady, C. L., et al. (2018). Maintenance, reserve and compensation: the cognitive neuroscience of healthy ageing. Nature Reviews Neuroscience, 1–10. doi: 10.1038/s41583-018-0068-2
Ebaid, D., & Crewther, S. G. (2020). Time for a Systems Biological Approach to Cognitive Aging?-A Critical Review. Frontiers in aging neuroscience, 12, 114. doi:10.3389/fnagi.2020.00114
Ferguson, H. J., Brunsdon, V. E. A., & Bradford, E. E. F. (2021). The developmental trajectories of executive function from adolescence to old age. Scientific Report, 11(1), 1382. doi:10.1038/s41598-020-80866-1
Amer, T., Campbell, K. L., & Hasher, L. (2016). Cognitive Control As a Double-Edged Sword. Trends Cogn Sci, 20(12), 905-915. doi:10.1016/j.tics.2016.10.002
Awh, E., Belopolsky, A. V., & Theeuwes, J. (2012). Top-down versus bottom-up attentional control: a failed theoretical dichotomy. Trends in cognitive sciences, 16(8), 437–443. doi: 10.1016/j.tics.2012.06.010.
Cools, R., & D'Esposito, M. (2011). Inverted-U–Shaped Dopamine Actions on Human Working Memory and Cognitive Control. Biological psychiatry, 69. doi:10.1016/j.biopsych.2011.03.028Po stranu 7 včetně
Lockhofen, D. E. L., & Mulert, C. (2021). Neurochemistry of Visual Attention. Front Neurosci, 15, 643597. doi:10.3389/fnins.2021.643597
Mackie MA, Van Dam NT, Fan J. Cognitive control and attentional functions. Brain and Cognition. 2013 Aug;82(3): 301-312. doi: 10.1016/j.bandc.2013.05.004.
McAuley, T., Crosbie, J., Charach, A., & Schachar, R. (2017). Clinical, Sociobiological, and Cognitive Predictors of ADHD Persistence in Children Followed Prospectively Over Time. Journal of Abnormal Child Psychology, 45(4), 765-776. doi: 10.1007/s10802-016-0189-x
Pellicano, E. (2010). Individual differences in executive function and central coherence predict developmental changes in the theory of mind in autism. Developmental psychology, 46, 530-544. doi: 10.1037/a0018287
Sonuga-Barke, E. J. (2005). Causal models of attention-deficit/hyperactivity disorder: from common simple deficits to multiple developmental pathways. Biological psychiatry, 57(11), 1231-1238. doi: 10.1016/j.biopsych.2004.09.008
Sonuga-Barke, E., Bitsakou, P., & Thompson, M. (2010). Beyond the dual pathway model: evidence for the dissociation of timing, inhibitory, and delay-related impairments in attention-deficit/hyperactivity disorder. Journal of the Academy of child and adolescent psychiatry, 49, 345-355. doi: 10.1016/j.jaac.2009.12.018.
Van Der Meer, J. M., Oerlemans, A. M., Van Steijn, D. J., Lappenschaar, M. G., De Sonneville, L. M., Buitelaar, J. K., & Rommelse, N. N. (2012). Are autism spectrum disorder and attention-deficit/hyperactivity disorder different manifestations of one overarching disorder? Cognitive and symptom evidence from a clinical and population-based sample. Journal of the American Academy of Child & Adolescent Psychiatry, 51(11), 1160-1172. doi: 10.1016/j.jaac.2012.08.024
Beard, C. (2011). Cognitive bias modification for anxiety: Current evidence and future directions. Expert Review of Neurotherapeutics, 11(2), 299–311. doi: 10.1586/ern.10.194
Heeren, A., & McNally, R. J. (2016). An integrative network approach to social anxiety disorder: The complex dynamic interplay among attentional bias for threat, attentional control, and symptoms. J Anxiety Disord, 42, 95-104. doi:10.1016/j.janxdis.2016.06.009
Indovina, I., Robbins, T. W., Núñez-Elizalde, A. O., Dunn, B. D., & Bishop, S. J. (2011). Fear-Conditioning Mechanisms Associated with Trait Vulnerability to Anxiety in Humans. Neuron, 69(3), 563–571. doi:10.1016/j.neuron.2010.12.034
Perusini, J. N., & Fanselow, M. S. (2015). Neurobehavioral perspectives on the distinction between fear and anxiety. Learning and Memory, 22(9), 417–425. doi: 10.1101/lm.039180.115
Buckner, R.L., Andrews-Hanna, J.R., & Schacter, D.L. (2008). The brain’s default network. Annals of the New York Academy of Sciences, 1124, 1-38. doi: 10.1196/annals.1440.011 Pouze strany 28-30
Buckner, R.L., Snyder, A.Z., Shannon, B.J., LaRossa, G., Sachs, R. … & Mintun, M.A. (2005). Molecular, structural, and functional characterisation of Alzheimer’s disease: Evidence for a relationship between default activity, amyloid, and memory. Journal of Neuroscience, 25, 7709-7717 doi: 10.1523/JNEUROSCI.2177-05.2005
Kehagia, A. A., Barker, R. A., & Robbins, T. W. (2010). Neuropsychological and clinical heterogeneity of cognitive impairment and dementia in patients with Parkinson's disease. Lancet Neurol, 9(12), 1200-1213. doi:10.1016/S1474-4422(10)70212-X
Levenson, R. W., Sturm, V. E., & Haase, C. M. (2014). Emotional and behavioural symptoms in neurodegenerative disease: a model for studying the neural bases of psychopathology. Annu Rev Clin Psychol, 10, 581-606. doi:10.1146/annurev-clinpsy-032813-153653
Poslední úprava: Bc. Martina Kvapilová, M.Sc. (03.12.2023)
Key Reading:
Task 1:
Esterberg, M., & Compton, M.T. (2009). The psychosis continuum and categorical versus dimensional diagnostic approaches. Current Psychiatry Reports, 11, 179-184. doi:10.1007/s11920-009-0028-7
Fried, E. I., van Borkulo, C. D., Cramer, A. O. J., Boschloo, L., Schoevers, R. A., & Borsboom, D. (2017). Mental disorders as networks of problems: a review of recent insights. Social Psychiatry and Psychiatric Epidemiology, 52(1), 1–10.doi:10.1007/s00127-016-1319-z
Isvoranu, A. M., Borsboom, D., van Os, J., & Guloksuz, S. (2016). A Network Approach to Environmental Impact in Psychotic Disorder: Brief Theoretical Framework. Schizophr Bull, 42(4), 870-873. doi:10.1093/schbul/sbw049
Michelini, G., Palumbo, I. M., DeYoung, C. G., Latzman, R. D., & Kotov, R. (2021). Linking RDoC and HiTOP: A new interface for advancing psychiatric nosology and neuroscience. Clin Psychol Rev, 86, 102025. doi:10.1016/j.cpr.2021.102025
Vakil, E. (2012). Neuropsychological assessment: principles, rationale, and challenges. Journal of Clinical and Experimental Neuropsychology, 34, 135-150. doi:10.1080/13803395.2011.623121
Crone, E. A., & Steinbeis, N. (2017). Neural perspectives on cognitive control development during childhood and adolescence. Trends in Cognitive Sciences, 21(3), 205-215. doi: 10.1016/j.tics.2017.01.003
Diamond, A. (2013). Executive Functions. Annual Review of Psychology, 64(1), 135-168. doi:10.1146/annurev-psych-113011-143750 UP TO AND INCLUDING PAGE 151
Lee, K., Bull, R., & Ho, R. M. (2013). Developmental changes in executive functioning. Child development, 84(6), 1933-1953. doi: 10.1111/cdev.12096
Shulman, E. P., Smith, A. R., Silva, K., Icenogle, G., Duell, N., Chein, J., & Steinberg, L. (2016). The dual systems model: Review, reappraisal, and reaffirmation. Developmental cognitive neuroscience, 17, 103-117. doi:10.1016/j.dcn.2015.12.010
Cabeza, R., Albert, M., Belleville, S., Craik, F. I. M., Duarte, A., Grady, C. L., et al. (2018). Maintenance, reserve and compensation: the cognitive neuroscience of healthy ageing. Nature Reviews Neuroscience, 1–10. doi: 10.1038/s41583-018-0068-2
Ebaid, D., & Crewther, S. G. (2020). Time for a Systems Biological Approach to Cognitive Aging?-A Critical Review. Frontiers in aging neuroscience, 12, 114. doi:10.3389/fnagi.2020.00114
Ferguson, H. J., Brunsdon, V. E. A., & Bradford, E. E. F. (2021). The developmental trajectories of executive function from adolescence to old age. Scientific Report, 11(1), 1382. doi:10.1038/s41598-020-80866-1
Amer, T., Campbell, K. L., & Hasher, L. (2016). Cognitive Control As a Double-Edged Sword. Trends Cogn Sci, 20(12), 905-915. doi:10.1016/j.tics.2016.10.002
Awh, E., Belopolsky, A. V., & Theeuwes, J. (2012). Top-down versus bottom-up attentional control: a failed theoretical dichotomy. Trends in cognitive sciences, 16(8), 437–443. doi: 10.1016/j.tics.2012.06.010.
Cools, R., & D'Esposito, M. (2011). Inverted-U–Shaped Dopamine Actions on Human Working Memory and Cognitive Control. Biological psychiatry, 69. doi:10.1016/j.biopsych.2011.03.028ONLY UP TO AND INCLUDING PAGE 7
Lockhofen, D. E. L., & Mulert, C. (2021). Neurochemistry of Visual Attention. Front Neurosci, 15, 643597. doi:10.3389/fnins.2021.643597
Mackie MA, Van Dam NT, Fan J. Cognitive control and attentional functions. Brain and Cognition. 2013 Aug;82(3): 301-312. doi: 10.1016/j.bandc.2013.05.004.
McAuley, T., Crosbie, J., Charach, A., & Schachar, R. (2017). Clinical, Sociobiological, and Cognitive Predictors of ADHD Persistence in Children Followed Prospectively Over Time. Journal of Abnormal Child Psychology, 45(4), 765-776. doi: 10.1007/s10802-016-0189-x
Pellicano, E. (2010). Individual differences in executive function and central coherence predict developmental changes in the theory of mind in autism. Developmental psychology, 46, 530-544. doi: 10.1037/a0018287
Sonuga-Barke, E. J. (2005). Causal models of attention-deficit/hyperactivity disorder: from common simple deficits to multiple developmental pathways. Biological psychiatry, 57(11), 1231-1238. doi: 10.1016/j.biopsych.2004.09.008
Sonuga-Barke, E., Bitsakou, P., & Thompson, M. (2010). Beyond the dual pathway model: evidence for the dissociation of timing, inhibitory, and delay-related impairments in attention-deficit/hyperactivity disorder. Journal of the Academy of child and adolescent psychiatry, 49, 345-355. doi: 10.1016/j.jaac.2009.12.018.
Van Der Meer, J. M., Oerlemans, A. M., Van Steijn, D. J., Lappenschaar, M. G., De Sonneville, L. M., Buitelaar, J. K., & Rommelse, N. N. (2012). Are autism spectrum disorder and attention-deficit/hyperactivity disorder different manifestations of one overarching disorder? Cognitive and symptom evidence from a clinical and population-based sample. Journal of the American Academy of Child & Adolescent Psychiatry, 51(11), 1160-1172. doi: 10.1016/j.jaac.2012.08.024
Beard, C. (2011). Cognitive bias modification for anxiety: Current evidence and future directions. Expert Review of Neurotherapeutics, 11(2), 299–311. doi: 10.1586/ern.10.194
Heeren, A., & McNally, R. J. (2016). An integrative network approach to social anxiety disorder: The complex dynamic interplay among attentional bias for threat, attentional control, and symptoms. J Anxiety Disord, 42, 95-104. doi:10.1016/j.janxdis.2016.06.009
Indovina, I., Robbins, T. W., Núñez-Elizalde, A. O., Dunn, B. D., & Bishop, S. J. (2011). Fear-Conditioning Mechanisms Associated with Trait Vulnerability to Anxiety in Humans. Neuron, 69(3), 563–571. doi:10.1016/j.neuron.2010.12.034
Perusini, J. N., & Fanselow, M. S. (2015). Neurobehavioral perspectives on the distinction between fear and anxiety. Learning and Memory, 22(9), 417–425. doi: 10.1101/lm.039180.115
Buckner, R.L., Andrews-Hanna, J.R., & Schacter, D.L. (2008). The brain’s default network. Annals of the New York Academy of Sciences, 1124, 1-38. doi: 10.1196/annals.1440.011 PAGES 28-30 ONLY
Buckner, R.L., Snyder, A.Z., Shannon, B.J., LaRossa, G., Sachs, R. … & Mintun, M.A. (2005). Molecular, structural, and functional characterisation of Alzheimer’s disease: Evidence for a relationship between default activity, amyloid, and memory. Journal of Neuroscience, 25, 7709-7717 doi: 10.1523/JNEUROSCI.2177-05.2005
Kehagia, A. A., Barker, R. A., & Robbins, T. W. (2010). Neuropsychological and clinical heterogeneity of cognitive impairment and dementia in patients with Parkinson's disease. Lancet Neurol, 9(12), 1200-1213. doi:10.1016/S1474-4422(10)70212-X
Levenson, R. W., Sturm, V. E., & Haase, C. M. (2014). Emotional and behavioural symptoms in neurodegenerative disease: a model for studying the neural bases of psychopathology. Annu Rev Clin Psychol, 10, 581-606. doi:10.1146/annurev-clinpsy-032813-153653
