Neurobiology of cognitive competencies in primary school age: the latest foreign research 33
PhD, Head of the Chair of Foreign and Russian Philology, Moscow State University of Psychology and Education, Moscow, Russia
PhD in Psychology, Associate Professor at the Department of Scientific Bases of Extremal Psychology, Moscow State University of Psychology & Education (MSUPE), Moscow, Russia
PhD, Department of Foreign and Russian Philology, Moscow State University of Psychology & Education, Moscow, Russia
PhD in Education, associate professor of the department of foreign and russian philology, Moscow State University of psychology and Education, Moscow, Russia
This paper presents the current researches revealing the peculiarities of neurocognitive status in primary school age and illustrating the achievements of the scientific school of foreign universities in such areas as: neuroscience compensatory-regulatory mechanisms of overcoming congenital learning difficulties; educational strategies that optimize the neurobiological status of the student; neurobiological tools for the development of the cognitive sphere of students; environmental and psychosomatic factors that affect the neurocognitive status of young students. The authors allocated memory resources, executive activity capabilities, inhibition reactions and self-control as the main elements in cognitive competencies’ formation. The materials provide evidence in favor of the importance of the quality of educational environments and attention to students with learning difficulties in their first school years.
- Drobakha V.E., Kulesh A.A., Shestakov V.V. Fraktsionnaya anizotropiya
belogo i serogo veshchestva golovnogo mozga v ostrom periode ishemicheskogo
insul'ta kak marker nevrologicheskogo, kognitivnogo i funktsional'nogo statusa
[Fractional anisotropy of the white and gray matter of the brain in the acute
period of ischemic stroke as a marker of neurological, cognitive and functional
status] [Elektronnyi resurs]. Meditsinskaya vizualizatsiya = [Medical
imaging], 2015. Vol. 6, pp. 8–15. URL:
https://medvis.vidar.ru/jour/article/view/158 (Accessed 10.06.2020). (In
- Ermolova T.V., Ponomareva V.V., Florova N.B. Diskal'kuliya detskogo
vozrasta kak sistemnaya problema obucheniya [Childhood dyscalculia as a
systemic learning problem]. Sovremennaya zarubezhnaya psikhologiya =
Journal of Modern Foreign Psychology, 2016. Vol. 5, no. 3, pp. 7–27.
DOI:10.17759/jmfp.2016050301 (In Russ.).
- Mikadze Yu.V. et al. Modeli i metody issledovaniya pererabotki informatsii
v protsessakh nazyvaniya predmeta i sootneseniya nazvaniya s predmetom [Models
and methods of researching information processing in the processes of naming an
object and correlating a name with an object]. Eksperimental'naya
psikhologiya = Experimental Psychology (Russia), 2019. Vol. 12, no. 1, pp.
153–166. DOI:10.17759/exppsy.2019120112 (In Russ.).
- Anderson P.J., Cheong J.L., Thompson D.K. The predictive validity of
neonatal MRI for neurodevelopmental outcome in very preterm children Semin.
Seminars in Perinatology, 2015. Vol. 39, no. 2, pp. 147–158.
- Arfe B., Vardanega T., Ronconi L. The effects of coding on children’s
planning and inhibition skills. Computers & Education, 2020. Vol.
148, 16 p. DOI:10.1016/j.compedu.2020.103807
- Jansen L. et al. Classroom-evaluated school performance at nine years of
age after very preterm birth. Early Human Development, 2020. Vol. 140. 6
- Debanne D., Russier V. The contribution of ion channels in input-output
plasticity. Neurobiology of Learning and Memory, 2019. Vol. 166. 8 p.
- Siman R. et al. Evidence that a Panel of Neurodegeneration Biomarkers
Predicts Vasospasm, Infarction, and Outcome in Aneurysmal Subarachnoid
Hemorrhage. PLoS One, 2011. Vol. 6, no. 12, 9 p.
- Barnes-Davis M.E. et al. Extremely preterm children exhibit increased
interhemispheric connectivity for language: findings from fMRI-constrained MEG
analysis. Developmental Science, 2018. Vol. 21, no. 6, 9 p.
- Farmer G.E., Thompson L.T. Learning-dependent plasticity of hippocampal CA1
pyramidal neuron postburst afterhyperpolarizations and increased excitability
after inhibitory avoidance learning depend upon basolateral amygdala inputs.
Hippocampus, 2012. Vol. 22, no. 8, pp. 1703–1719.
- Bloodgood D.W. et al. Fear extinction requires infralimbic cortex
projections to the basolateral amygdale. Translation Psychiatry, 2018.
Vol. 8, article ID 60, 11 p. DOI:10.1038/s41398-018-0106-x
- Mazzoli E. et al. Feasibility of breaking up sitting time in mainstream and
special schools with a cognitively challenging motor task. Journal of Sport
and Health Science, 2019. Vol. 8, no. 2, pp. 137–148.
- França T.F.A. Isolating the key factors defining the magnitude of
hippocampal neurogenesis’ eﬀects on anxiety, memory and pattern separation.
Neurobiology of Learning and Memory, 2019. Vol. 166, 5 p.
- Grineski S.E., Collins T.W., Adkins D.E. Hazardous air pollutants are
associated with worse performance in reading, math, and science among US
primary schoolchildren. Environmental Research, 2020. Vol. 181, 10 p.
- Guardabassi V., Tomasetto C. Weight status or weight stigma? Obesity
stereotypes — Not excess weight — Reduce working memory in school-aged
children. Journal of Experimental Child Psychology, 2020. Vol. 189, 9 p.
- Kyriakides L., Anthimou M., Panayiotou A. Searching for the impact of
teacher behavior on promoting students’ cognitive and metacognitive skills.
Studies in Educational Evaluation, 2020. Vol. 189, 14 p.
- Aarnoudse-Moens C.S. et al. Meta-analysis of neurobehavioral outcomes in
very preterm and/or very low birth weight children. Pediatrics, 2009.
Vol. 124, no. 2, pp. 717–728. DOI:10.1542/peds.2008-2816
- Oh M.M., Disterhoft J.F. Learning and aging affect neuronal excitability
and learning. Neurobiology of Learning and Memory, 2020. Vol. 167, 7 p.
- Polspoel B., Vandermosten M., De Smedt B. The association of grey matter
volume and cortical complexity with individual differences in children’s
arithmetic ﬂuency. Neuropsychologia, 2020. Vol. 137, 10 p.
- Prensky M. Digital Natives, Digital Immigrants [Elektronnyi resurs]. On
the Horizon, 2001. Vol. 9, no. 5, 6 p. URL:
- Pulfrey J., Gasser U. Born Digital: How children gow up in a digital age.
New York: Basic Books, 2016. 352 p.
- Xue H. et al. Resting-state EEG reveals global network deficiency in
dyslexic children. Neuropsychologia, 2020. Vol. 138, 8 p.
- Barnes-Davis M.E. et al. Rewiring the extremely preterm brain: Altered
structural connectivity relates to language function. NeuroImage:
Clinical, 2020. Vol. 25, 12 p. DOI:10.1016/j.nicl.2020.102194
- Siddiqui N., Gorard S., See B.H. Can learning beyond the classroom impact
on social responsibility and academic attainment? An evaluation of the
Children’s University youth social action programme. Studies in Educational
Evaluation, 2019. Vol. 61, pp. 74–82.
- Hachmann W.M. et al. The relationship of domain-general serial order memory
and reading ability in school children with and without dyslexia. Journal of
Experimental Child Psychology, 2020. Vol. 193, 39 p.
- Wang Q., Kushnir T. Cultural Pathways in Cognitive Development:
Introduction to the Special Issue. Cognitive Development, 2019. Vol. 52,
4 p. DOI:10.1016/j.cogdev.2019.100816
- Jiang R. et al. Why students are biased by heuristics: Examining the role
of inhibitory control, conﬂict detection, and working memory in the case of
overusing proportionality. Cognitive Development, 2020. Vol. 53, 14 p.