Abstract
Scientifically literate individuals are defined as individuals who are able to apply scientific knowledge and use scientific reasoning skills to solve problems. In recent years, cognitive neuroscience has turned its attention to understanding the brain activation patterns associated with scientific reasoning skills, but this work has not been systematically reviewed for more than a decade. The present study reviews neuroimaging studies related to three types of scientific reasoning tasks: overcoming misconceptions, causal reasoning, and hypothesis generation. These studies indicate converging evidence for the involvement of (1) lateral prefrontal areas, reinforcing the idea of an association between scientific reasoning and executive functions, and (2) middle temporal areas, suggesting an association between scientific reasoning and declarative memory. Potential educational implications and leads for future research are discussed.
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Adler CM, Sax KW, Holland SK, Schmithorst V, Rosenberg L, Strakowski SM (2001) Changes in neuronal activation with increasing attention demand in healthy volunteers: an fMRI study. Synapse 42(4):266–272
Aguirre GK (2003) Functional imaging in behavioral neurology and cognitive neuropsychology. In: Feinberg TE, Farah MJ (eds) Behavioral neurology and neuropsychology, 2nd edn. McGraw-Hill, New York, pp 85–96
Alfieri L, Brooks PJ, Aldrich NJ, Tenenbaum HR (2011) Does discovery-based instruction enhance learning? J Educ Psychol 103:1–18. https://doi.org/10.1037/a0021017
Aminoff EM, Kveraga K, Bar M (2013) The role of the parahippocampal cortex in cognition. Trends Cogn Sci 17(8):379–390. https://doi.org/10.1016/j.tics.2013.06.009
Antal A, Nitsche MA, Kruse W, Kincses TZ, Hoffmann KP, Paulus W (2004) Direct current stimulation over V5 enhances visuomotor coordination by improving motion perception in humans. J Cogn Neurosci 16(4):521–527
Aron AR, Fletcher PC, Bullmore ET, Sahakian BJ, Robbins TW (2003) Stop-signal inhibition disrupted by damage to right inferior frontal gyrus in humans. Nat Neurosci 6:115–116. https://doi.org/10.1038/nn1003
Aron AR, Robbins TW, Poldrack RA (2004) Inhibition and the right inferior frontal cortex. Trends Cogn Sci 8(4):170–177
Auffermann WF, Ngan SC, Sarkar S, Yacoub E, Hu X (2001) Nonadditive two-way ANOVA for event-related fMRI data analysis. NeuroImage 14:406–416. https://doi.org/10.1006/nimg.2001.0809
Babai R, Amsterdamer A (2008) The persistence of solid and liquid naive conceptions: a reaction time study. J Sci Educ Technol 17:553–559
Babai R, Levyadun T, Stavy R, Tirosh D (2006) Intuitive rules in science and mathematics: a reaction time study. Int J Math Educ Sci Technol 37(8):913–924. https://doi.org/10.1080/00207390600794958
Babai R, Sekal R, Stavy R (2010) Persistence of the intuitive conception of living things in adolescence. J Sci Educ Technol 19:20–26
Babai R, Shalev E, Stavy R (2015) A warning intervention improves students’ ability to overcome intuitive interference. ZDM 47:735–745
Babiloni C, Ferretti A, Del Gratta C, Carducci F, Vecchi F, Romani GL, Rossini PM (2005) Human cortical responses during one-bit delayed-response tasks: an fMRI study. Brain Res Bull 65:383–390. https://doi.org/10.1016/j.brainresbull.2005.01.013
Badre D, Wagner AD (2007) Left ventrolateral prefrontal cortex and the cognitive control of memory. Neuropsychologia 45:2883–2901
Bahar M, Hansell M (2000) The relationship between some psychological factors and their effects on the performance of grid questions and word association tests. Educ Psychol 20:349–364. https://doi.org/10.1080/713663739
Balleine BW, Delgado MR, Hikosaka O (2007) The role of the dorsal striatum in reward and decision-making. J Neurosci 27(31):8161–8165
Banich M, Milham M, Atchley R, Cohen N, Webb A, Wszalek T, Kramer A, Liang Z, Barad V, Gullett D, Shah C (2000) Prefrontal cortex play a predominant role in imposing an attentional ‘set’: evidence from Fmri. Cogn Brain Res 10:1–9
Barnard JK, Jacobs RL (2007, February) The effects of a near versus far transfer of training approach on trainees’ confidence to coach related and unrelated tasks. Paper presented at the international research conference in the Americas of the Academy of Human Resource Development, Indianapolis, IN, USA
Bartolomeo P, deSchotten MT, Chica AB (2012) Brain networks of visuospatial attention and their disruption in visual neglect. Front Hum Neurosci. https://doi.org/10.3389/fnhum.2012.00110
Beauchamp MS, Lee KE, Haxby JV, Martin A (2002) Parallel visual motion processing streams for manipulable objects and human movements. Neuron 34:149–159
Beauchamp MS, Argall BD, Bodurka J, Duyn JH, Martin A (2004) Unraveling multisensory integration: patchy organization within human STS multisensory cortex. Nat Neurosci 7:1190–1192. https://doi.org/10.1038/nn1333
Becker JT, MacAndrew DK, Fiez JA (1999) A comment on the functional localization of the phonological storage subsystem of working memory. Brain Cogn 41:27–38
Berg EA (1948) A simple objective technique for measuring flexibility in thinking. J Gen Psychol 39:15–22. https://doi.org/10.1080/00221309.1948.9918159
Berridge KC (1996) Food reward: brain substrates of wanting and liking. Neurosci Biobehav Rev 20(1):1–25
Berridge KC, Robinson TE (1998) What is the role of dopamine in reward: hedonic impact, reward learning, or incentive salience? Brain Res Rev 28:309–369
Bes B, Sloman S, Lucas CG, Raufaste E (2012) Non-Bayesian inference: causal structure trumps correlation. Cogn Sci 36(7):1178–1203
Best JR, Miller PH (2010) A developmental perspective on executive function. Child Dev 81(6):1641–1660. https://doi.org/10.1111/j.1467-8624.2010.01499.x
Blakemore S-J, Fonlupt P, Pachot-Clouard M, Darmon C, Boyer P, Meltzoff AN, Segebarth C, Decety J (2001) How the brain perceives causality: an event related fMRI study. NeuroReport 12(17):3741–3746
Botvinick M (2007) Conflict monitoring and decision-making: reconciling two perspectives on anterior cingulate function. Cogn Affect Behav Neurosci 7(4):356–366
Botvinick M, Braver T, Barch D, Carter C, Cohen J (2001) Conflict monitoring and cognitive control. Psychol Rev 108:625–652
Botvinick M, Cohen JD, Carter CS (2004) Conflict monitoring and anterior cingulate cortex: an update. Trends Cogn Sci 8(12):539–546
Brault Foisy L-M, Potvin P, Riopel M, Masson S (2015) Is inhibition involved in overcoming a common physics misconception in mechanics? Trends Neurosci Educ 4:26–36. https://doi.org/10.1016/j.tine.2015.03.001
Brickhouse NW, Ebert-May D, Wier BA (1989) Scientific literacy: perspectives of school administrators, teachers, students, and scientists from an urban mid-Atlantic community. In: Champagne AB, Lovitts BE, Callinger BJ (eds) This year in school science. Scientific literacy. AAAS, Washington, pp 157–176
Buchsbaum BR, Greer S, Chang WL, Berman KF (2005) Meta-analysis of neuroimaging studies of the wisconsin card-sorting task and component processes. Hum Brain Mapp 25:35–45. https://doi.org/10.1016/j.neulet.2006.05.063
Buchsbaum MS, Buchsbaum BR, Chokron S, Tang C, Wei T-C, Bynea W (2006) Thalamocortical circuits: fMRI assessment of the pulvinar and medial dorsal nucleus in normal volunteers. Neurosci Lett 404:282–287. https://doi.org/10.1016/j.neulet.2006.05.063
Bullock M, Gelman R, Baillargeon R (1982) The development of causal reasoning. In: Friedman W (ed) The developmental psychology of time. Academic Press, New York, pp 209–254
Bush G, Paul J, Whalen PJ, Rosen B, Jenike MA, McInerney SC, Rauch SL (1998) The counting Stroop: an interference task specialized for functional neuroimaging—validation study with functional MRI. Hum Brain Mapp 6:270–282
Bush G, Vogt BA, Holmes J, Dale AM, Greve D, Jenike MA, Rosen BR (2002) Dorsal anterior cingulate cortex: a role in reward-based decision making. Proc Natl Acad Sci USA 99:523–528. https://doi.org/10.1073/pnas.012470999
Bush G, Whalen PG, Shin LM, Rauch SL (2006) The counting Stroop: a cognitive interference task. Nat Protoc 1(1):230–233. https://doi.org/10.1038/nprot.2006.35
Button KS, Ioannidis JPA, Mokrysz C, Nosek BA, Flint J, Robinson ESJ, Munafo MR (2013) Power failure: why small sample size undermines the reliability of neuroscience. Nat Rev Neurosci 14(5):365–376. https://doi.org/10.1038/nrn3475
Carolan TF, Hutchins SD, Wickens CD, Cumming JM (2014) Costs and benefits of more learner freedom: meta-analyses of exploratory and learner control training methods. Hum Factors 56:999–1014. https://doi.org/10.1177/0018720813517710
Casey BJ, Trainor RJ, Orendi JL, Schubert AB, Nystrom LE, Giedd JN, Castellanos FX, Haxby JV, Noll DC, Cohen JD, Forman SD (1997) A developmental functional MRI study of prefrontal activation during performance of a go-no-go task. J Cogn Neurosci 9:835–847
Cavanna AE, Trimble MR (2006) The precuneus: a review of its functional anatomy and behavioural correlates. Brain 129:564–583. https://doi.org/10.1093/brain/awl004
Cepni S, Keles E (2006) Turkish students' conceptions about the simple electric circuits. Int J Sci Math Educ 4(2):269–291
Chang J-Y, Chen L, Luo F, Shi L-H, Woodward DJ (2002) Neuronal responses in the frontal cortico-basal ganglia system during delayed matching-to-sample task: ensemble recording in freely moving rats. Exp Brain Res 142:67–80. https://doi.org/10.1007/s00221-001-0918-3
Chen G, Saad ZS, Britton JC, Pine DS, Cox RW (2013) Linear mixed-effects modeling approach to FMRI group analysis. Neuroimage 73:176–190. https://doi.org/10.1016/j.neuroimage.2013.01.047
Cheng PW (1997) From covariation to causation: a causal power theory. Psychol Rev 104:367–405
Cheng K, Fujita H, Kanno I, Miura S, Tanaka K (1995) Human cortical regions activated by wide-field visual motion: an H2150 PET study. J Neurophysiol 74(1):413–427
Christoff K, Prabhakaran V, Dorfman J, Zhao Z, Kroger JK, Holyoak KJ, Gabrieli JDE (2001) Rostrolateral prefrontal cortex involvement in relational integration during reasoning. NeuroImage 14:1136–1149. https://doi.org/10.1006/nimg.2001.0922
Cooper RP, Yule P (2013) Decision making. In: Cooper RP (ed) Modelling high-level cognitive processes. Psychology Press, London, pp 223–268
Corbetta M, Shulman GL, Miezin FM, Petersen SE (1995) Superior parietal cortex activation during spatial attention shifts and visual feature conjunction. Science 270:802–805
Coull JT, Frackowiak RSJ, Frith CD (1998) Monitoring for target objects: activation of right frontal and parietal cortices with increasing time on task. Neuropsychologia 36(12):1325–1334
Courtney SM, Ungerleider LG, Keil K, Haxby JV (1996) Object and spatial visual working memory activate separate neural systems in human cortex. Cereb Cortex 6:39–49
Cragg L, Gilmore C (2014) Skills underlying mathematics: the role of executive function in the development of mathematics proficiency. Trends Neurosci Educ 3:63–68
D’Angelo C, Rutstein D, Harris C, Bernard R, Borokhovski E, Haertel G (2014) Simulations for STEM learning: systematic review and meta-analysis. SRI International, Menlo Park
Daniel R, Wagner G, Koch K, Reichenbach JR, Sauer H, Schlösser RG (2010) Assessing the neural basis of uncertainty in perceptual category learning through varying levels of distortion. J Cogn Neurosci 23:1781–1793. https://doi.org/10.1162/jocn.2010.21541
Danili E, Reid N (2004) Some strategies to improve performance in school chemistry based on two cognitive factors. Res Sci Technol Educ 22:203–223
Delazer M, Ischebeck A, Domahs F, Zamarian L, Koppelstaetter F, Siedentopf CM (2005) Learning by strategies and learning by drill-evidence from an fMRI study. Neuroimage 25(3):838–849. https://doi.org/10.1016/j.neuroimage.2004.12.009
Dempster FN (1995) Interference and inhibition in cognition: an historical perspective. In: Dempster FN, Brainerd CJ (eds) Interference and inhibition in cognition, pp 3–26. https://doi.org/10.1016/b978-012208930-5/50002-7
Dempster FN, Corkill AJ (1999) Interference and inhibition in cognition and behavior: unifying themes for educational psychology. Educ Psychol Rev 11(1):1–88
Desmond JE, Glover GH (2002) Estimating sample size in functional MRI (fMRI) neuroimaging studies: statistical power analyses. J Neurosci Methods 118(2):115–128
Diamond A (2013) Executive functions. Annu Rev Psychol 64:135–168. https://doi.org/10.1146/annurev-psych-113011-143750
diSessa AA (2017) Conceptual change in a microcosm: comparative learning analysis of a learning event. Hum Dev 60:1–37. https://doi.org/10.1159/000469693
Donaldson D, Petersen S, Ollinger J, Buckner R (2001) Dissociating state and item components of recognition memory using fMRI. Neuroimage 13:129–142
Dove A, Pollman S, Schubert T, Wiggins C, von Cramon D (2000) Prefrontal cortex activation in task switching: an event-related fMRI Study. Cogn Brain Res 9:103–109
Dragos V, Mih V (2015) Scientific literacy in school. Procedia Soc Behav Sci 209:167–172. https://doi.org/10.1016/j.sbspro.2015.11.273
Drouet I (2012) Causes, probabilités, inferences [Causes, probabilities, inferences]. Vuibert, Paris
Dunbar KN, Fugelsang JA, Stein C (2007) Do naïve theories ever go away? Using brain and behavior to understand changes in concepts. In: Lovett MC, Shah P (eds) Thinking with data: 33rd Carnegie symposium on cognition. Lawrence Erlbaum, Mahwah, pp 193–206
Dunst B, Benedek M, Jauk E, Bergner S, Koschutnig K, Sommer M, Ischebeck A, Spinath B, Arendasy M, Bühner M, Freudenthaler H (2014) Neural efficiency as a function of task demands. Intelligence 42:22–30
Eisenberger NI, Lieberman MD, Williams KD (2003) Does rejection hurt? An fMRI study of social exclusion. Science 302:290–292. https://doi.org/10.1126/science.1089134
Ekstrom AD, Bookheimer SY (2007) Spatial and temporal episodic memory retrieval recruit dissociable functional networks in the human brain. Learn Mem 14:645–654
Elliott R, Dolan RJ, Frith CD (2000) Dissociable functions in the middle and lateral orbitofrontal cortex: evidence from human neuroimaging studies. Cereb Cortex 10:308–317
Fair DA, Cohen AL, Power JD, Dosenbach NUF, Church JA, Miezin FM, Schlaggar BL, Petersen SE (2009) Functional brain networks develop from a ‘‘local to distributed’’ organization. PLoS Comput Biol 5(5):e1000381. https://doi.org/10.1371/journal.pcbi.1000381
Falk EB, Hyde LW, Mitchell C, Faul J, Gonzalez R, Heitzeg MM, Keating DP, Langa KM, Martz ME, Maslowsky J, Morrison FJ (2013) What is a representative brain? Neuroscience meets population science. Proc Natl Acad Sci USA 110(44):17615–17622. https://doi.org/10.1073/pnas.1310134110
Fonlupt P (2003) Perception and judgement of physical causality involve different brain structures. Cogn Brain Res 17:248–254. https://doi.org/10.1016/S0926-6410(03)001125
Fortin A, Ptito A, Faubert J, Ptito M (2001) Cortical areas mediating stereopsis in the human brain: a PETstudy. NeuroReport 13(67):895–898
Foucher JR, Otzenberger H, Gounot D (2004) Where arousal meets attention: a simultaneous fMRI and EEG recording study. NeuroImage 22:688–697
Friedman NP, Miyake A (2017) Unity and diversity of executive functions: individual differences as a window on cognitive structure. Cortex 86:186–204. https://doi.org/10.1016/j.cortex.2016.04.023
Fugelsang JA, Dunbar KN (2005) Brain-based mechanisms underlying complex causal thinking. Neuropsychologia 43:1204–1213. https://doi.org/10.1016/j.neuropsychologia.2004.10.012
Fugelsang JA, Roser ME, Corballis PM, Gazzaniga MS, Dunbar KN (2005) Brain mechanisms underlying perceptual causality. Cogn Brain Res 24:41–47. https://doi.org/10.1016/j.cogbrainres.2004.12.001
Furtak EM, Seidel T, Iverson H, Briggs DC (2012) Experimental and quasiexperimental studies of inquiry-based science teaching: a meta-analysis. Rev Educ Res 82:300–329. https://doi.org/10.3102/0034654312457206
Garavan H, Ross TJ, Murphy KR, Roche AP, Stein EA (2002) Dissociable executive functions in the dynamic control of behavior: inhibition, error detection, and correction. NeuroImage 17:1820–1829. https://doi.org/10.1006/nimg.2002.1326
Gathercole SE, Pickering SJ, Knight C, Stegmann Z (2004) Working memory skills and educational attainment: evidence from national curriculum assessments at 7 and 14 years of age. Appl Cogn Psychol 18:1–16
Goel V, Gold B, Kapur S, Houle S (1997) The seat of reason? An imaging study of deductive and inductive reasoning. NeuroReport 8:1305–1310
Gold BT, Balota DA, Jones SJ, Powell DK, Smith CD, Andersen AH (2006) Dissociation of automatic and strategic lexical-semantics: functional magnetic resonance imaging evidence for differing roles of multiple frontotemporal regions. J Neurosci 26:6523–6532
Grabner RH, Ischebeck A, Reishofer G, Koschutnig K, Delazer M, Ebner F (2009) Fact learning in complex arithmetic and figural–spatial tasks: the role of the angular gyrus and its relation to mathematical competence. Hum Brain Mapp 30(9):2936–2952. https://doi.org/10.1002/hbm.20720
Grahn JA, Parkinson JA, Owen AM (2008) The cognitive functions of the caudate nucleus. Prog Neurobiol 86:141–155. https://doi.org/10.1016/j.pneurobio.2008.09.004
Green AE, Fugelsang JA, Kraemer DJM, Shamosh NA, Dunbar KN (2006) Frontopolar cortex mediates abstract integration in analogy. Brain Res 1096:125–137. https://doi.org/10.1016/j.brainres.2006.04.024
Greenhalgh T, Peacock R (2005) Effectiveness and efficiency of search methods in systematic reviews of complex evidence: audit of primary sources. BMJ 331:1064–1065. https://doi.org/10.1136/bmj.38636.593461.68
Gusnard D, Akbudak E, Shulman G, Raichle M (2001) Medial prefrontal cortex and self-referential mental activity: relation to a default mode of brain function. Proc Natl Acad Sci 98:4259–4264
Haier RJ, Siegel BV, Nuechterlein KH, Hazlett E, Wu JC, Paek J, Browning HL, Buchsbaum MS (1988) Cortical glucose metabolic rate correlates of abstract reasoning and attention studied with positron emission tomography. Intelligence 12:199–217
Haier RJ, Siegel BV Jr, MacLachlan A, Soderling E, Lottenberg S, Buchsbaum MS (1992) Regional glucose metabolic changes after learning a complex visuospatial/motor task: a positron emission tomographic study. Brain Res 570:134–143
Hanakawa T, Honda M, Sawamoto N, Okada T, Yonekura Y, Fukuyama H, Shibasaki H (2002) The role of rostral brodmann area 6 in mental operation tasks: an integrative neuroimaging approach. Cereb Cortex 12:1157–1170
Harris S, Sheth SA, Cohen MS (2008) Functional neuroimaging of belief, disbelief, and uncertainty. Ann Neurol 63:141–147. https://doi.org/10.1002/ana.21301
Haruno M, Kawato M (2006) Different neural correlates of reward expectation and reward expectation error in the putamen and caudate nucleus during stimulus-action-reward association learning. J Neurophysiol 95:948–959
Hayasaka S, Peiffer AM, Hugenschmidt CE, Laurienti PJ (2007) Power and sample size calculation for neuroimaging studies by non-central random field theory. Neuroimage 37(3):721–730
Henrich J, Heine SJ, Norenzayan A (2010) The weirdest people in the world. Behav Brain Sci 33:61–135. https://doi.org/10.1017/S0140525X0999152X
Henry LA, Messer DJ, Nash G (2014) Testing for near and far transfer effects with a short, face-to-face adaptive working memory training intervention in typical children. Infant Child Dev 23:84–103. https://doi.org/10.1002/icd.1816
Henson RNA, Penny WD (2005) ANOVAs and SPM (Technical report). Wellcome Department of Imaging Neuroscience, London, UK
Heston TF, King JM (2017) Predictive power of statistical significance. World J Methodol 7(4):112–116. https://doi.org/10.5662/wjm.v7.i4.112
Hinkle DE, Wiersma W, Jurs SG (2003) Applied statistics for the behavioral sciences, 5th edn. Houfton Mifflin, Boston
Hirshorn EA, Thompson-Schill SL (2006) Role of the left inferior frontal gyrus in covert word retrieval: neural correlates of switching during verbal fluency. Neuropsychologia 44:2547–2557
Holbrook J, Rannikmae M (2009) The meaning of scientific literacy. Int J Environ Sci Educ 4(3):275–288
Holmes J, Gathercole SE, Dunning DL (2009) Adaptive training leads to sustained enhancement of poor working memory in children. Dev Sci 12(4):F9–F15. https://doi.org/10.1111/j.1467-7687.2009.00848.x
Hosseini SM, Rostami M, Yomogida Y, Takahashi M, Tsukiura T, Kawashima R (2010) Aging and decision making under uncertainty: behavioral and neural evidence for the preservation of decision making in the absence of learning in old age. Neuroimage 52:1514–1520. https://doi.org/10.1016/j.neuroimage.2010.05.008
Houdé O, Borst G (2014) Measuring inhibitory control in children and adults: brain imaging and mental chronometry. Front Psychol 5(616):1–7. https://doi.org/10.3389/fpsyg.2014.00616
Houde O, Moutier S (1996) Deductive reasoning and experimental inhibition training: the case of the matching bias. Curr Psychol Cogn 15:409–434
Houde O, Moutier S (1999) Deductive reasoning and experimental inhibition training: the case of the matching bias. New data and reply to Girotto. Curr Psychol Cogn 18:75–85
Houdé O, Zago L, Crivello F, Moutier S, Pineau A, Mazoyer B, Tzourio-Mazoyer N (2001) Access to deductive logic depends on a right ventromedial prefrontal area devoted to emotion and feeling: evidence from a training paradigm. NeuroImage 14:1486–1492. https://doi.org/10.1006/nimg.2001.0930
Howell DC (2002) Statistical methods for psychology, 5th edn. Duxbury, Pacific Grove
Hunter SK, Kisley MA, McCarthy L, Freedman R, Rossi RG (2011) Diminished cerebral inhibition in neonates associated with risk factors for schizophrenia: parental psychosis, maternal depression, and nicotine use. Schizophr Bull 37(6):1200–1208
Hushman CJ, Marley SC (2015) Guided instruction improves elementary student learning and self-efficacy in science. J Educ Res 108(5):371–381. https://doi.org/10.1080/00220671.2014.899958
Hutzler F (2013) Reverse inference is not a fallacy per se: cognitive processes can be inferred from functional imaging data. NeuroImage. https://doi.org/10.1016/j.neuroimage.2012.12.075
Jarvis HL, Gathercole SE (2003) Verbal and nonverbal working memory and achievements on national curriculum tests at 11 and 14 years of age. Educ Child Psychol 20:123–140
Kanwisher N (2010) Functional specificity in the human brain: a window into the functional architecture of the mind. Proc Natl Acad Sci 107(25):11163–11170
Kappel V, Lorenz RC, Streifling M, Renneberg B, Lehmkuhl U, Ströhle A, Salbach-Andrae H, Beck A (2015) Effect of brain structure and function on reward anticipation in children and adults with attention deficit hyperactivity disorder combined subtype. Soc Cogn Affect Neurosci 10:945–951. https://doi.org/10.1093/scan/nsu135
Karbach J, Strobach T, Schubert T (2015) Adaptive working memory training benefits reading, but not mathematics in middle childhood. Child Neuropsychol 21:285–301. https://doi.org/10.1080/09297049.2014.899336
Kelemen D, Rosset E (2009) The human function compunction: teleological explanation in adults. Cognition 111(1):138–143
Kelemen D, Rottman J, Seston R (2013) Professional physical scientists display tenacious teleological tendencies: purpose-based reasoning as a cognitive default. J Exp Psychol 142(4):1074–1083. https://doi.org/10.1037/a0030399
Kirschner PA, Sweller J, Clark RE (2006) Why minimal guidance during instruction does not work: an analysis of the failure of constructivist, discovery, problem-based, experiential, and inquiry-based teaching. Educ Psychol 41:75–86. https://doi.org/10.1207/s15326985ep4102_1
Kohler S, Black SE, Sinden M, Szekely C, Kidron D, Parker JL, Foster JK, Moscovitch M, Wincour G, Szalai JP, Bronskill MJ (1998) Memory impairments associated with hippocampal versus parahippocampal gyrus atrophy: an MR volumetry study in Alzheimer’s disease. Neuropsychologia 25(8):901–914
Kording KP, Beierholm U, Ma WJ, Quartz S, Tenenbaum JB, Shams L (2007) Causal inference in multisensory perception. PLoS ONE 2(9):e943. https://doi.org/10.1371/journal.pone.0000943
Kroesbergen EH, van’t Noordende JE, Kolkman ME (2014) Training working memory in kindergarten children: effects on working memory and early numeracy. Child Neuropsychol 20(1):23–37. https://doi.org/10.1080/09297049.2012.736483
Kroger JK, Sabb FW, Fales CL, Bookheimer SY, Cohen MS, Holyoak KJ (2002) Recruitement of anterior dorsolateral prefrontal cortex in human reasoning: a parametric study of relational complexity. Cereb Cortex 12:477–485
Kuperberg GR, Lakshmanan BM, Caplan DN, Holcomb PJ (2006) Making sense of discourse: an fMRI study of causal inferencing across sentences. Neuroimage 33:343–361
Kwon Y-J, Lawson AE (2000) Linking brain growth with the development of scientific reasoning ability and conceptual change during adolescence. J Res Sci Teach 37:44–62
Kwon Y, Jeong J, Park Y (2006) Roles of abductive reasoning and prior belief in children’s generation of hypotheses about pendulum motion. Sci Educ 15:643–656
Kwon Y-J, Lee J-K, Shin D-H, Jeong J-S (2009) Changes in brain activation induced by the training of hypothesis generation skills: an fMRI study. Brain Cogn 69:391–397
Laetsch WM (1987) A basis for better understanding of science. In: Evered D, O’Connor M (eds) Communicating science to the public. Wiley, London, pp 1–10
Laker DR (1990) Dual dimensionality of training transfer. Hum Resour Dev Q 1(3):209–224
Lamm C, Windischberger C, Leodolter U, Moser E, Bauer H (2001) Evidence for premotor cortex activity during dynamic visuospatial imagery from single-trial functional magnetic resonance imaging and event-related slow cortical potentials. NeuroImage 14:268–283. https://doi.org/10.1006/nimg.2001.0850
Lappi O, Rusanen AM (2011) Turing machines and causal mechanisms in cognitive sciences. In: McKay Illari P, Russo F, Williamson J (eds) Causality in the sciences. Oxford University Press, Oxford, pp 224–239
Latzman RD, Elkovitch N, Young J, Clark LA (2010) The contribution of executive functioning to academic achievement among male adolescents. J Clin Exp Neuropsychol 32(5):455–462. https://doi.org/10.1080/13803390903164363
Laugksch RC (1998) Scientific literacy: a conceptual overview. Sci Educ 84(1):71–94. https://doi.org/10.1002/(SICI)1098-237X(200001)
Lawson AE (1978) The development and validation of a classroom test of formal reasoning. J Res Sci Teach 15(1):11–24
Lazonder AM, Harmsen R (2016) Meta-analysis of inquiry-based learning: effects of guidance. Rev Educ Res 86(3):681–718. https://doi.org/10.3102/0034654315627366
Lee JK (2009) Dissociation of the brain activation network associated with hypothesis-generating and hypothesis-understanding in biology learning: evidence from an fMRI study (Unpublished doctoral dissertation). Korea National University of Education, Cheongwon
Lee SE (2014) The impact of working memory training on third grade students’ reading fluency and reading comprehension performance (Doctoral dissertation). Southern Illinois University, Carbondale, IL
Lee JK, Kwon YJ (2008) Types of emotion during the hypothesis-generating and hypothesis-understanding process on the biological phenomena. Second Educ Res 56(3):1–36
Lee J-K, Kwon Y-J (2011) Why traditional expository teaching–learning approaches may founder? An experimental examination of neural networks in biology learning. J Biol Educ 45(2):83–92. https://doi.org/10.1080/00219266.2010.548874
Lee J-K, Kwon Y-J (2012) Learning-related changes in adolescents’ neural networks during hypothesis-generating and hypothesis-understanding training. Sci Educ 21:1–31. https://doi.org/10.1007/s11191-010-9313-4
Levy BJ, Wagner AD (2011) Cognitive control and right ventrolateral prefrontal cortex: reflexive reorienting, motor inhibition, and action updating. Ann N Y Acad Sci 1224(1):40–62. https://doi.org/10.1111/j.1749-6632.2011.05958.x
Livelli A, Orofino GC, Calcagno A, Farenga M, Penoncelli D, Guastavigna M, Carosella S, Caramello P, Pia L (2015) Evaluation of a cognitive rehabilitation protocol in HIV patients with associated neurocognitive disorders: efficacy and stability over time. Front Cogn Neurosci 9(306):1–10. https://doi.org/10.3389/fnbeh.2015.00306
Loosli SV, Buschkuehl M, Perrig WJ, Jaeggi SM (2012) Working memory training improves reading processes in typically developing children. Child Neuropsychol 18:62–78. https://doi.org/10.1080/09297049.2011.575772
MacDonald AW, Cohen JD, Stenger VA, Carter CS (2000) Dissociating the role of dorsolateral prefrontal and anterior cingulate cortex in cognitive control. Science 288:1835–1838
Mahayana IT, Tcheang L, Chen C-Y, Juan C-H, Muggleton NG (2014) The precuneus and visuospatial attention in near and far space: a transcranial magnetic stimulation study. Brain Stimul 7:673–679. https://doi.org/10.1016/j.brs.2014.06.012
Majerus S, Poncelet M, Van der Linden M, Albouy G, Salmon E, Sterpenich V, Vandewalle G, Collette F, Maquet P (2006) The left intraparietal sulcus and verbal short-term memory: focus of attention or serial order? NeuroImage 32:880–891. https://doi.org/10.1016/j.neuroimage.2006.03.048
Masson S, Potvin P, Riopel M, Brault Foisy L-M (2014) Differences in brain activation between novices and experts in science during a task involving a common misconception in electricity. Mind Brain Educ 8(1):37–48
Mateen FJ, Oh J, Tergas AI, Bhayani NH, Kamdar BB (2013) Titles versus titles and abstracts for initial screening of articles for systematic reviews. Clin Epidemiol 5:89–95. https://doi.org/10.2147/CLEP.S43118
Mayer R (2004) Should there be a three-strike rule against pure discovery learning? The case for guided methods of instruction. Am Psychol 59:14–19. https://doi.org/10.1037/0003-066X.59.1.14
McGann M (2010) Perceptual modalities: modes of presentation or modes of interaction? J Conscious Stud 17(1–2):72–94
McGuire WJ (1997) Creative hypothesis generating in psychology: some useful heuristics. Annu Rev Psychol 48:1–30
McKay Illari P, Russo F, Williamson J (2011) Causality in the sciences. Oxford University Press, New York
Melby-Lervåg M, Redick TS, Hulme C (2016) Working memory training does not improve performance on measures of intelligence or other measures of “far-transfer”: evidence from a meta-analytic review. Perspect Psychol Sci 11:512–534. https://doi.org/10.1177/1745691616635612
Mendelson R, Shultz TR (1976) Covariation and temporal contiguity as principles of causal inference in young children. J Exp Child Psychol 22(3):408–412
Menon V, Adleman NE, White CD, Glover GH, Reiss AL (2001) Error-related brain activation during a Go/No Go response inhibition task. Hum Brain Mapp 12(3):131–143
Mizuno K, Tanaka M, Ishii A, Tanabe HC, Onoe H, Sadato N, Watanabe Y (2008) The neural basis of academic achievement motivation. NeuroImage 42:369–378
Monchi O, Petrides M, Petre V, Worsley K, Dagher A (2001) Wisconsin card sorting revisited: distinct neural circuits participating in different stages of the task identified by event-related functional magnetic resonance imaging. J Neurosci 21(19):7733–7741
Monchi O, Petrides M, Strafella AP, Worsley KJ, Doyon J (2006) Functional role of the basal ganglia in the planning and execution of actions. Ann Neurol 59:257–264. https://doi.org/10.1002/ana.2074
Moss HE, Abdallah S, Fletcher P, Bright P, Pilgrim L, Acres K, Tyler LK (2005) Selecting among competing alternatives: selecting and retrieval in the left inferior frontal gyrus. Cereb Cortex 15:1723–1735
Moutier S, Angeard N, Houdé O (2002) Deductive reasoning and matching-bias inhibition training: evidence from a debiasing paradigm. Think Reason 8:205–224
Murphy K, Garavan H (2004) An empirical investigation into the number of subjects required for an event-related fMRI study. NeuroImage 22(2):879–885
National Research Council (2005) America’s lab report: investigations in high school science. National Academies Press, Washington
Neubauer AC, Fink A (2009) Intelligence and neural efficiency: measures of brain activation versus measures of functional connectivity in the brain. Intelligence 37:223–229. https://doi.org/10.1016/j.intell.2008.10.008
Neubauer AC, Fink A, Schrausser DG (2002) Intelligence and neural efficiency: the influence of task content and sex on the brain–IQ relationship. Intelligence 30(6):515–536
Nevo E, Breznitz Z (2014) Effects of working memory and reading acceleration training on improving working memory abilities and reading skills among third graders. Child Neuropsychol 20:752–765. https://doi.org/10.1080/09297049.2013.863272
Nichols TE, Das S, Eickhoff SB, Evans AC, Glatard T, Hanke M, Kriegeskorte N, Milham MP, Poldrack RA, Poline JB, Proal E (2016) Best practices in data analysis and sharing in neuroimaging using MRI (Report No. bioRxiv). https://doi.org/10.1101/054262
Nobre AC, Sebestyen GN, Gitelman DR, Mesulam MM, Frackowiak RSJ, Frith CD (1997) Functional localization of the system for visuospatial attention using positron emission tomography. Brain 120:515–533
Novick LR, Cheng PW (2004) Assessing interactive causal influence. Psychol Rev 111(2):455–485. https://doi.org/10.1037/0033-295X.111.2.455
OECD (2007) Understanding the brain: the birth of a learning science. OECD Editions, Paris
OECD (2017) Education at a glance 2017: OECD indicators. OECD Publishing, Paris. https://doi.org/10.1787/eag-2017-en
Ogunkola BJ (2013) Scientific literacy: conceptual overview, importance and strategies for improvement. J Educ Soc Res 3(1):265–274. https://doi.org/10.5901/jesr.2013.v3n1p265
Olesen PJ, Westerberg H, Klingberg T (2004) Increased prefrontal and parietal activity after training of working memory. Nat Neurosci 7:75–79
Owen AM, Milner B, Petrides M, Evans AC (1996) A specific role for the right parahippocampal gyrus in the retrieval of object-location: a positron emission tomography study. J Cogn Neurosci 8(6):588–602
Paas F, Renkl A, Sweller J (2003) Cognitive load theory and instructional design: recent developments. Educ Psychol 38:1–4
Patterson R, Barbey AK (2005) A multiple systems approach to causal reasoning. In: Grafman J, Krueger F (eds) Neural basis of belief systems. Psychology Press, New York, pp 43–70
Paulus MP, Rogalsky C, Simmons A, Feinstein JS, Stein MB (2003) Increased activation in the right insula during risk-taking decision making is related to harm avoidance and neuroticism. Neuroimage 19:1439–1448
Pinal GD, Nathan MJ (2017) Two kinds of reverse inference in cognitive neuroscience. In: Leefmann J, Hildt E (eds) The human sciences after the decade of the brain. Academic Press, London, pp 121–139
Pleskac TJ, Dougherty MR, Busemeyer J, Risekamp J, Tenenbaum J (2007) Cognitive decision theory: developing models of real-world decision behavior. Proc Annu Meet Cogn Sci Soc USA 29(29):39–40. https://escholarship.org/uc/item/2hh7462x
Poldrack RA (2006) Can cognitive processes be inferred from neuroimaging data? Trends Cogn Sci 10(2):59–63
Poldrack RA (2011) Inferring mental states from neuroimaging data: from reverse inference to large-scale decoding. Neuron 72(5):692–697. https://doi.org/10.1016/j.neuron.2011.11.001
Potvin P, Cyr G (2017) Toward a durable prevalence of scientific conceptions: tracking the effects of two interfering misconceptions about buoyancy from preschoolers to science teachers. J Res Sci Teach 54(9):1121–1142. https://doi.org/10.1002/tea.21396
Potvin P, Turmel E, Masson S (2014) Linking neuroscientific research on decision making to the educational context of novice students assigned to a multiple-choice scientific task involving common misconceptions about electrical circuits. Front Hum Neurosci. https://doi.org/10.3389/fnhum.2014.00014
Prabhakaran V, Narayanan K, Zhao Z, Gabrieli J (2000) Integration of diverse information in working memory within the frontal lobe. Nat Neurosci 3:85–90
Ravizza SM, Delgado MR, Chein JM, Becker JT, Fiez JA (2004) Functional dissociations within the inferior parietal cortex in verbal working memory. NeuroImage 22:562–573. https://doi.org/10.1016/j.neuroimage.2004.01.039
Ray E, Schlottmann A (2007) The perception of social and mechanical causality in young children with ASD. Res Autism Spectr Disord 1:266–280. https://doi.org/10.1016/j.rasd.2006.11.002
Redcay E (2008) The superior temporal sulcus performs a common function for social and speech perception: implications for the emergence of autism. Neurosci Biobehav Rev 32(1):123–142. https://doi.org/10.1016/j.neubiorv.2007.06.004
Rhodes SM, Booth JN, Campbell LE, Blythe RA, Wheate NJ, Delibegovic M (2014) Evidence for a role of executive functions in learning biology. Infant Child Dev 23(1):67–83. https://doi.org/10.1002/icd.1823
Rhodes SM, Booth JN, Palmer LE, Blythe RA, Delibegovic M, Wheate NJ (2016) Executive functions predict conceptual learning of Science. Br J Dev Psychol 34:261–275
Roser ME, Fugelsang JA, Dunbar KN, Corballis PM, Gannaziga MS (2005) Dissociating processes supporting causal perception and causal inference in the brain. Neuropsychology 19(5):591–602
Rusanen A-M (2014) Towards to an explanation for conceptual change: a mechanistic alternative. Sci Educ 23(7):1413–1425. https://doi.org/10.1007/s11191-013-9656-8
Sala G, Gobet F (2017a) Does far transfer exist? Negative evidence from chess, music, and working memory training. Curr Dir Psychol Sci 26(6):515–520. https://doi.org/10.1177/0963721417712760
Sala G, Gobet F (2017b) Working memory training in typically developing children: a meta-analysis of the available evidence. Dev Psychol 53(4):671–685. https://doi.org/10.1037/dev0000265
Sarter M, Berntson GG, Cacioppo JT (1996) Brain imaging and cognitive neuroscience. Toward strong inference in attributing function to structure. Am Psychol 51(1):13–21
Sawamoto N, Honda M, Okada T, Hanakawa T, Kanda M, Fukuyama H, Konishi J, Shibasaki H (2000) Expectation of pain enhances responses to nonpainful somatosensory stimulation in the anterior cingulate cortex and parietal operculum/posterior insula: an event-related functional magnetic resonance imaging Study. J Neurosci 20(19):7438–7445
Schlottmann A, Shanks DR (1992) Evidence for a distinction between judged and perceived causality. Q J Exp Psychol Hum Exp Psychol 44(A):321–342
Scholl BJ, Nakayama K (2002) Causal capture: contextual effects on the perception of collision events. Psychol Sci 13(6):493–498
Sefcsik T, Nemeth D, Janacsek K, Hoffmann I, Scialabba J, Klivenyi P, Gergely GA, Haden G, Vecsei L (2009) The role of the putamen in cognitive functions—a case study. Learn Percept 1(2):215–227. https://doi.org/10.1556/LP.1.2009.2
Seghier ML (2013) The angular gyrus: multiple functions and multiple subdivisions. Neuroscientist 19(1):43–61. https://doi.org/10.1177/1073858412440596
Seltman AJ (2015) Experimental design and analysis. http://www.stat.cmu.edu/~hseltman/309/Book/Book.pdf
Shah P, Michal A, Ibrahim A, Rhodes R, Rodriguez F (2017) What makes everyday scientific reasoning so shallenging? Psychol Learn Motiv 66:251–299. https://doi.org/10.1016/bs.plm.2016.11.006
Shaywitz BA, Shaywitz SE, Pugh KR, Mencl WE, Fulbright RK, Skudlarski P, Constable RT, Marchione KE, Fletcher JM, Lyon GR, Gore JC (2002) Disruption of posterior brain systems for reading in children with developmental dyslexia. Biol Psychiatry 52:101–110
Shaywitz BA, Skudlarski P, Holahan JM, Marchione KE, Constable RT, Fulbright RK, Zelterman D, Lacadie C, Shaywitz SE (2007) Age-related changes in reading systems of dyslexic children. Ann Neurol 61:363–370
Shtulman A, Harrington K (2015) Tensions between science and intuition across the lifespan. Top Cogn Sci 8:118–137. https://doi.org/10.1111/tops.12174
Shtulman A, Valcarcel J (2012) Scientific knowledge suppresses but does not supplant earlier intuitions. Cognition 124:209–215. https://doi.org/10.1016/j.cognition.2012.04.005
Shulman L, Keisler E (1966) Learning by discovery: a critical appraisal. Rand McNally, Chicago
Shultz TR, Altmann E, Asselin J (1986) Judging causal priority. Br J Dev Psychol 4:67–74
Simon O, Mangin J-F, Cohen L, Le Bihan D, Dehaene S (2002) Topographical layout of hand, eye, calculation, and language-related areas in the human parietal lobe. Neuron 33:475–487
Simons DJ, Boot WR, Charness N, Gathercole SE, Chabris CF, Hambrick DZ, Stine-Morrow EAL (2016) Do “brain-training” programs work? Psychol Sci Public Interest 17:103–186. https://doi.org/10.1177/1529100616661983
Singh-Curry V, Husain M (2009) The functional role of the inferior parietal lobe in the dorsal and ventral stream dichotomy. Neuropsychologia 47:1434–1448. https://doi.org/10.1016/j.neuropsychologia.2008.11.033
Smith EE, Jiondes J (1997) Working memory: a view from neuroimaging. Cogn Psychol 1:5–42
Snyder HR, Hutchison N, Nyhus E, Curran T, Banich MT, O’Reilly RC, Munakata Y (2010) Neural inhibition enables selection during language processing. Proc Natl Acad Sci USA 107(38):16483–16488
Spaniol J, Davidson PSR, Kim ASN, Han H, Moscovitch M, Grady CL (2009) Event-related fMRI studies of episodic encoding and retrieval: meta-analyses using activation likelihood estimation. Neuropsychologia 47:1765–1779. https://doi.org/10.1016/j.neuropsychologia.2009.02.028
St Clair-Thompson HL, Gathercole SE (2006) Executive functions and achievement in school: shifting, updating, inhibition and working memory. Q J Exp Psychol 59(4):745–759. https://doi.org/10.1080/17470210500162854
St Clair-Thompson HL, Stevens R, Hunt A, Bolder E (2010) Improving children’s working memory and classroom performance. Educ Psychol 30(2):203–219. https://doi.org/10.1080/01443410903509259
St Clair-Thompson HL, Overton T, Bugler M (2012) Mental capacity and working memory in chemistry: algorithmic versus open-ended problem solving. Chem Educ Res Pract 13(4):484–489
Stavy R, Babai R (2010) Overcoming intuitive interference in mathematics: insights from behavioral, brain imaging and intervention studies. ZDM 42:621–633. https://doi.org/10.1007/s11858-010-0251-z
Stavy R, Babai R, Tsamir P, Tirosh D, Lai-Lin F, McRobbie C (2006) Are intuitive rules universal? Int J Sci Math Educ 4:417–436
Stern ER, Gonzalez R, Welsh RC, Taylor SF (2010) Updating beliefs for a decision: neural correlates of uncertainty and underconfidence. J Neurosci 30:8032–8041. https://doi.org/10.1523/JNEUROSCI.4729-09.2010
Sternberg RJ (2008) ‘g’, g’s, or jeez: which is the best model for developing abilities, competencies, and expertise? In: Kyllonen PC, Roberts RD, Stankov L (eds) Extending intelligence: enhancement and new constructs. Taylor & Francis, London, pp 225–266
Studer-Luethi B, Bauer C, Perrig WJ (2016) Working memory training in children: effectiveness depends on temperament. Mem Cogn 44:171–186. https://doi.org/10.3758/s13421-015-0548-9
Sweller J (1999) Instructional design in technical areas. ACER Press, Camberwell
Tanaka SC, Honda M, Sadato N (2005) Modality-specific cognitive function of medial and lateral human Brodmann area 6. J Neurosci 25(2):496–501. https://doi.org/10.1523/JNEUROSCI.4324-04.2005
Tanaka SC, Samejima K, Okada G, Ueda K, Okamoto Y, Yamawaki S, Doya K (2006) Brain mechanism of reward prediction under predictable and unpredictable environmental dynamics. Neural Netw 19:1233–1241
Teixeira-Dias JJC, Pedrosa de Jesus MH, Neri de Souza FN, Watts M (2005) Teaching for quality learning in chemistry. Int J Sci Educ 27(9):1123–1137. https://doi.org/10.1080/09500690500102813
The Royal Society (2011) Neuroscience: implications for education and lifelong learning. The Royal Society, London
Thompson-Schill SL, D’Esposito M, Aguirre GK, Farah MJ (1997) Role of left inferior prefrontal cortex in retrieval of semantic knowledge: a reevaluation. Proc Natl Acad Sci USA 94:14792–14797
Treagust DF, Duit R (2008) Conceptual change: a discussion of theoretical, methodological and practical challenges for science education. Cult Sci Edu 3(2):297–328
Tuovinen JE, Sweller J (1999) A comparison of cognitive load associated with discovery learning and worked examples. J Educ Psychol 91:334–341
Ueno A, Abe N, Suzuki M, Shigemune Y, Hirayama K, Mori E, Tashiro M, Itoh M, Fujii T (2009) Reactivation of medial temporal lobe and human V5/MT + during the retrieval of motion information: a PET study. Brain Res 1285:127–134
UNESCO (2010) UNESCO science report 2010: the current status of science around the world. http://unesdoc.unesco.org/images/0018/001899/189958e.pdf
UNESCO (2013) Educational neuroscience: more problems than promise?. UNESCO Bangkok, Bangkok
van Duijvenvoorde AC, Zanolie K, Rombouts SA, Raijmakers ME, Crone EA (2008) Evaluating the negative or valuing the positive? Neural mechanisms supporting feedback-based learning across development. J Neurosci 28(38):9495–9503. https://doi.org/10.1523/JNEUROSCI.1485-08.2008
van Veen V, Carter CS (2002) The anterior cingulate as a conflict monitor: fMRI and ERP studies. Physiol Behav 77:477–482
van Zee EH (2000) Analysis of a student-generated inquiry discussion. Int J Sci Educ 22(2):115–142. https://doi.org/10.1080/095006900289912
Volz KG, Schubotz RI, von Cramon DY (2004) Why am I unsure? Internal and external attributions of uncertainty dissociated by fMRI. Neuroimage 21:848–857. https://doi.org/10.1016/j.neuroimage.2003.10.028
Volz KG, Schubotz RI, von Cramon DY (2005) Variants of uncertainty in decision-making and their neural correlates. Brain Res Bull 67:403–412. https://doi.org/10.1016/j.brainresbull.2005.06.011
Waberski TD, Gobbele R, Lamberty K, Buchner H, Marshall JC, Fink GR (2008) Timing of visuo-spatial information processing: electrical source imaging related to line bisection judgements. Neuropsychologia 46:1201–1210. https://doi.org/10.1016/j.neuropsychologia.2007.10.024
Wandersee JH, Mintzes JJ, Novak JD (1994) Research on alternative conceptions in science. In: Gabel DL (ed) Handbook of research on science teaching and learning. MacMillan, New York, pp 177–210
Ward BD, Chen G (2006) Analysis of variance for fMRI data (Technical report). https://afni.nimh.nih.gov/afni/doc/manual/ANOVAm.pdf
Yoncheva YN, Blau VC, Maurer U, McCandliss BD (2010) Attentional focus during learning impacts N170 ERP responses to an artificial script. Dev Neuropsychol 35(4):423–445. https://doi.org/10.1080/87565641.2010.480918
Yue X, Vessel EA, Biederman I (2007) The neural basis of scene preferences. NeuroReport 18:525–529
Zavrel E, Sharpsteen E (2016) How the television show “MythBusters” communicates the scientific method. Phys Teach 54:228–232. https://doi.org/10.1119/1.4944364
Zeki S (2015) Area V5-a microcosm of the visual brain. Front Integr Neurosci. https://doi.org/10.3389/fnint.2015.0002
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Nenciovici, L., Allaire-Duquette, G. & Masson, S. Brain activations associated with scientific reasoning: a literature review. Cogn Process 20, 139–161 (2019). https://doi.org/10.1007/s10339-018-0896-z
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DOI: https://doi.org/10.1007/s10339-018-0896-z