Prefrontal Cortex Development in Health and Disease: Lessons from Rodents and Humans.

adolescence; autism; development; memory; molecular cues; network oscillations; prefrontal; schizophrenia; Animals; Humans; Prefrontal Cortex; Mental Disorders; Rodentia; Neuroscience (all)

Abstract :

[en] The role of the prefrontal cortex (PFC) takes center stage among unanswered questions in modern neuroscience. The PFC has a Janus-faced nature: it enables sophisticated cognitive and social abilities that reach their maximum expression in humans, yet it underlies some of the devastating symptoms of psychiatric disorders. Accordingly, appropriate prefrontal development is crucial for many high-order cognitive abilities and dysregulation of this process has been linked to various neuropsychiatric diseases. Reviewing recent advances in the field, with a primary focus on rodents and humans, we highlight why, despite differences across species, a cross-species approach is a fruitful strategy for understanding prefrontal development. We briefly review the developmental contribution of molecules and extensively discuss how electrical activity controls the early maturation and wiring of prefrontal areas, as well as the emergence and refinement of input-output circuitry involved in cognitive processing. Finally, we highlight the mechanisms of developmental dysfunction and their relevance for psychiatric disorders.

Disciplines :

Life sciences: Multidisciplinary, general & others

Author, co-author :

Chini, Mattia ; Institute of Developmental Neurophysiology, Center for Molecular Neurobiology, University Medical Center Hamburg-Eppendorf, 20246 Hamburg, Germany. Electronic address: mattia.chini@zmnh.uni-hamburg.de

Hanganu-Opatz, Ileana L; Institute of Developmental Neurophysiology, Center for Molecular Neurobiology, University Medical Center Hamburg-Eppendorf, 20246 Hamburg, Germany. Electronic address: hangop@zmnh.uni-hamburg.de

Language :

English

Title :

Prefrontal Cortex Development in Health and Disease: Lessons from Rodents and Humans.

Publication date :

March 2021

Journal title :

Trends in Neurosciences

ISSN :

0166-2236

eISSN :

1878-108X

Publisher :

Elsevier Ltd, England

Volume :

Issue :

Pages :

227 - 240

Peer reviewed :

Peer Reviewed verified by ORBi

Additional URL :

https://api.elsevier.com/content/article/PII:S0166223620302502?httpAccept=text/xml

Funders :

DFG - Deutsche Forschungsgemeinschaft
ERC - European Research Council

Funding text :

This work was funded by grants from the European Research Council ( ERC-2015-CoG 681577 to I.L.H.-O.), the German Research Foundation ( Ha 4466/10-1 , Ha4466/11-1 , Ha4466/12-1 , SPP 1665 , SFB 936 B5 to I.L.H-O.), and Landesforschungsförderung Hamburg (LFF-FV76 to I.L. H.-O.). I.L.H-O. is funding member of the FENS Kavli Network of Excellence . We thank Guido Hegasy ( www.hegasy.de ) for help with figure preparation.This work was funded by grants from the European Research Council (ERC-2015-CoG 681577 to I.L.H.-O.), the German Research Foundation (Ha 4466/10-1, Ha4466/11-1, Ha4466/12-1, SPP 1665, SFB 936 B5 to I.L.H-O.), and Landesforschungsf?rderung Hamburg (LFF-FV76 to I.L. H.-O.). I.L.H-O. is funding member of the FENS Kavli Network of Excellence. We thank Guido Hegasy (www.hegasy.de) for help with figure preparation.

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since 18 March 2026

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Bibliography

Fuster, J.M., The Prefrontal Cortex. 2015, Academic Press.
Carlen, M., What constitutes the prefrontal cortex?. Science 358 (2017), 478–482.
Laubach, M., et al. What, if anything, is rodent prefrontal cortex?. eNeuro, 5, 2018 ENEURO.0315-0318.2018.
van Heukelum, S., et al. Where is cingulate cortex? A cross-species view. Trends Neurosci. 43 (2020), 285–299.
Uylings, H.B.M., et al. Do rats have a prefrontal cortex?. Behav. Brain Res. 146 (2003), 3–17.
Sanai, N., et al. Corridors of migrating neurons in the human brain and their decline during infancy. Nature 478 (2011), 382–386.
Ahrlund-Richter, S., et al. A whole-brain atlas of monosynaptic input targeting four different cell types in the medial prefrontal cortex of the mouse. Nat. Neurosci. 22 (2019), 657–668.
Preuss, T.M., Do rats have prefrontal cortex – the Rose–Woolsey–Akert program reconsidered. J. Cogn. Neurosci. 7 (1995), 1–24.
Gyllborg, D., et al. Hybridization-based in situ sequencing (HybISS) for spatially resolved transcriptomics in human and mouse brain tissue. Nucleic Acids Res., 48, 2020, e112.
Vaneden, C.G., et al. The development of the rat prefrontal cortex – its size and development of connections with thalamus, spinal-cord and other cortical areas. Prog. Brain Res. 85 (1990), 169–183.
Gogtay, N., et al. Dynamic mapping of human cortical development during childhood through early adulthood. Proc. Natl. Acad. Sci. U. S. A. 101 (2004), 8174–8179.
Brockmann, M.D., et al. Coupled oscillations mediate directed interactions between prefrontal cortex and hippocampus of the neonatal rat. Neuron 71 (2011), 332–347.
Spencer-Smith, M., Anderson, V., Healthy and abnormal development of the prefrontal cortex. Dev. Neurorehabil. 12 (2009), 279–297.
Williams, M.E., et al. Molecular mechanisms of synaptic specificity in developing neural circuits. Neuron 68 (2010), 9–18.
Flavell, S.W., Greenberg, M.E., Signaling mechanisms linking neuronal activity to gene expression and plasticity of the nervous system. Annu. Rev. Neurosci. 31 (2008), 563–590.
Orahilly, R., Gardner, E., Initial development of the human-brain. Acta Anat. 104 (1979), 123–133.
Cholfin, J.A., Rubenstein, J.L.R., Patterning of frontal cortex subdivisions by Fgf17. Proc. Natl. Acad. Sci. U. S. A. 104 (2007), 7652–7657.
Lenroot, R.K., Giedd, J.N., Brain development in children and adolescents: insights from anatomical magnetic resonance imaging. Neurosci. Biobehav. Rev. 30 (2006), 718–729.
Rice, D., Barone, S., Critical periods of vulnerability for the developing nervous system: evidence from humans and animal models. Environ. Health Perspect. 108 (2000), 511–533.
Telley, L., et al. Temporal patterning of apical progenitors and their daughter neurons in the developing neocortex. Science, 364, 2019, eaav2522.
Oberst, P., et al. Temporal plasticity of apical progenitors in the developing mouse neocortex. Nature 573 (2019), 370–374.
Gao, P., et al. Deterministic progenitor behavior and unitary production of neurons in the neocortex. Cell 159 (2014), 775–788.
Lim, L., et al. Optimization of interneuron function by direct coupling of cell migration and axonal targeting. Nat. Neurosci. 21 (2018), 920–931.
Marín, O., et al. Guiding neuronal cell migrations. Cold Spring Harb. Perspect. Biol., 2, 2010, a001834.
Mrzljak, L., et al. Neuronal development in human prefrontal cortex in prenatal and postnatal stages. Prog. Brain Res. 85 (1990), 185–222.
Molnar, Z., et al. New insights into the development of the human cerebral cortex. J. Anat. 235 (2019), 432–451.
Nadarajah, B., Parnavelas, J.G., Modes of neuronal migration in the developing cerebral cortex. Nat. Rev. Neurosci. 3 (2002), 423–432.
Kiryushko, D., et al. Regulators of neurite outgrowth: role of cell adhesion molecules. Ann. N. Y. Acad. Sci. 1014 (2004), 140–154.
Iafrati, J., et al. Reelin, an extracellular matrix protein linked to early onset psychiatric diseases, drives postnatal development of the prefrontal cortex via GluN2B-NMDARs and the mTOR pathway. Mol. Psychiatry 19 (2014), 417–426.
Cooper, M.A., Koleske, A.J., Ablation of ErbB4 from excitatory neurons leads to reduced dendritic spine density in mouse prefrontal cortex. J. Comp. Neurol. 522 (2014), 3351–3362.
Comer, A.L., et al. Increased expression of schizophrenia-associated gene C4 leads to hypoconnectivity of prefrontal cortex and reduced social interaction. PLoS Biol., 18, 2020, e3000604.
Kroon, T., et al. Early postnatal development of pyramidal neurons across layers of the mouse medial prefrontal cortex. Sci. Rep., 9, 2019, 5037.
Zuo, Y., et al. Development of long-term dendritic spine stability in diverse regions of cerebral cortex. Neuron 46 (2005), 181–189.
Pattwell, S.S., et al. Dynamic changes in neural circuitry during adolescence are associated with persistent attenuation of fear memories. Nat. Commun., 7, 2016, 11475.
Vanderhaeghen, P., Cheng, H.J., Guidance molecules in axon pruning and cell death. Cold Spring Harb. Perspect. Biol., 2, 2010, a001859.
Schubert, D., et al. Molecular underpinnings of prefrontal cortex development in rodents provide insights into the etiology of neurodevelopmental disorders. Mol. Psychiatry 20 (2015), 795–809.
Parenti, I., et al. Neurodevelopmental disorders: from genetics to functional pathways. Trends Neurosci. 43 (2020), 608–621.
Dupont, E., et al. Rapid developmental switch in the mechanisms driving early cortical columnar networks. Nature 439 (2006), 79–83.
Ackman, J.B., et al. Retinal waves coordinate patterned activity throughout the developing visual system. Nature 490 (2012), 219–225.
Babola, T.A., et al. Homeostatic control of spontaneous activity in the developing auditory system. Neuron 99 (2018), 511–524.
Bitzenhofer, S.H., et al. Layer-specific optogenetic activation of pyramidal neurons causes beta–gamma entrainment of neonatal networks. Nat. Commun., 8, 2017, 14563.
Chini, M., et al. Resolving and rescuing developmental miswiring in a mouse model of cognitive impairment. Neuron 105 (2020), 60–74.
Bitzenhofer, S.H., et al. Transient developmental increase of prefrontal activity alters network maturation and causes cognitive dysfunction in adult mice. bioRxiv, 2020 Published online April 8, 2020. https://doi.org/10.1101/558957.
Bitzenhofer, S.H., et al. Gamma activity accelerates during prefrontal development. eLife, 9, 2020, e56795.
Ahlbeck, J., et al. Glutamatergic drive along the septotemporal axis of hippocampus boosts prelimbic oscillations in the neonatal mouse. eLife, 7, 2018, e33158.
Guan, W.Q., et al. Eye opening differentially modulates inhibitory synaptic transmission in the developing visual cortex. eLife, 6, 2017, e32337.
Marques-Smith, A., et al. A transient translaminar GABAergic interneuron circuit connects thalamocortical recipient layers in neonatal somatosensory cortex. Neuron 89 (2016), 536–549.
Modol, L., et al. Assemblies of perisomatic GABAergic neurons in the developing barrel cortex. Neuron 105 (2020), 93–105.
Minlebaev, M., et al. Early gamma oscillations synchronize developing thalamus and cortex. Science 334 (2011), 226–229.
Colonnese, M.T., et al. A conserved switch in sensory processing prepares developing neocortex for vision. Neuron 67 (2010), 480–498.
Hanganu, I.L., et al. Retinal waves trigger spindle bursts in the neonatal rat visual cortex. J. Neurosci. 26 (2006), 6728–6736.
Xu, X.X., et al. Transient knock-down of prefrontal DISC1 in immune-challenged mice causes abnormal long-range coupling and cognitive dysfunction throughout development. J. Neurosci. 39 (2019), 1222–1235.
Niwa, M., et al. Knockdown of DISC1 by in utero gene transfer disturbs postnatal dopaminergic maturation in the frontal cortex and leads to adult behavioral deficits. Neuron 65 (2010), 480–489.
Medendorp, W.E., et al. Selective postnatal excitation of neocortical pyramidal neurons results in distinctive behavioral and circuit deficits in adulthood. bioRxiv, 2020 Published online January 18, 2020. https://doi.org/10.1101/2020.01.18.911347.
Peixoto, R.T., et al. Abnormal striatal development underlies the early onset of behavioral deficits in Shank3B-/- mice. Cell Rep. 29 (2019), 2016–2027.
Peixoto, R.T., et al. Early hyperactivity and precocious maturation of corticostriatal circuits in Shank3B-/- mice. Nat. Neurosci. 19 (2016), 716–724.
Belforte, J.E., et al. Postnatal NMDA receptor ablation in corticolimbic interneurons confers schizophrenia-like phenotypes. Nat. Neurosci. 13 (2010), 76–83.
Cho, K.K., et al. Gamma rhythms link prefrontal interneuron dysfunction with cognitive inflexibility in Dlx5/6+/- mice. Neuron 85 (2015), 1332–1343.
Guo, T., et al. Quantitative assessment of white matter injury in preterm neonates: association with outcomes. Neurology 88 (2017), 614–622.
Tokariev, A., et al. Preterm birth changes networks of newborn cortical activity. Cereb. Cortex 29 (2019), 814–826.
McLaughlin, K.A., et al. Delayed maturation in brain electrical activity partially explains the association between early environmental deprivation and symptoms of attention-deficit/hyperactivity disorder. Biol. Psychiatry 68 (2010), 329–336.
Senkowski, D., Gallinat, J., Dysfunctional prefrontal gamma-band oscillations reflect working memory and other cognitive deficits in schizophrenia. Biol. Psychiatry 77 (2015), 1010–1019.
Uhlhaas, P.J., Singer, W., Oscillations and neuronal dynamics in schizophrenia: the search for basic symptoms and translational opportunities. Biol. Psychiatry 77 (2015), 1001–1009.
Kolluri, N., et al. Lamina-specific reductions in dendritic spine density in the prefrontal cortex of subjects with schizophrenia. Am. J. Psychiatry 162 (2005), 1200–1202.
Leinekugel, X., et al. Correlated bursts of activity in the neonatal hippocampus in vivo. Science 296 (2002), 2049–2052.
Valeeva, G., et al. Emergence of coordinated activity in the developing entorhinal-hippocampal network. Cereb. Cortex 29 (2019), 906–920.
Del Rio-Bermudez, C., et al. Active sleep promotes coherent oscillatory activity in the cortico-hippocampal system of infant rats. Cereb. Cortex 30 (2020), 2070–2082.
Del Rio-Bermudez, C., et al. Theta oscillations during active sleep synchronize the developing rubro-hippocampal sensorimotor network. Curr. Biol. 27 (2017), 1413–1424.
Bitzenhofer, S.H., et al. Oscillatory activity in developing prefrontal networks results from theta-gamma-modulated synaptic inputs. Cell Rep. 11 (2015), 486–497.
Sigurdsson, T., et al. Impaired hippocampal–prefrontal synchrony in a genetic mouse model of schizophrenia. Nature 464 (2010), 763–767.
Adams, R.A., et al. Impaired theta phase coupling underlies frontotemporal dysconnectivity in schizophrenia. Brain 143 (2020), 1261–1277.
Hartung, H., et al. From shortage to surge: a developmental switch in hippocampal–prefrontal coupling in a gene–environment model of neuropsychiatric disorders. Cereb. Cortex 26 (2016), 4265–4281.
Zerbi, V., et al. Dysfunctional autism risk genes cause circuit-specific connectivity deficits with distinct developmental trajectories. Cereb. Cortex 28 (2018), 2495–2506.
Tamura, M., et al. Developmental inhibition of Gsk3 rescues behavioral and neurophysiological deficits in a mouse model of schizophrenia predisposition. Neuron 89 (2016), 1100–1109.
Omidvarnia, A., et al. Functional bimodality in the brain networks of preterm and term human newborns. Cereb. Cortex 24 (2014), 2657–2668.
Bertero, A., et al. Autism-associated 16p11.2 microdeletion impairs prefrontal functional connectivity in mouse and human. Brain 141 (2018), 2055–2065.
Schleifer, C., et al. Dissociable disruptions in thalamic and hippocampal resting-state functional connectivity in youth with 22q11.2 deletions. J. Neurosci. 39 (2019), 1301–1319.
Haber, S.N., Calzavara, R., The cortico-basal ganglia integrative network: the role of the thalamus. Brain Res. Bull. 78 (2009), 69–74.
Kozorovitskiy, Y., et al. Recurrent network activity drives striatal synaptogenesis. Nature 485 (2012), 646–650.
Kellendonk, C., et al. Transient and selective overexpression of dopamine D2 receptors in the striatum causes persistent abnormalities in prefrontal cortex functioning. Neuron 49 (2006), 603–615.
Balsters, J.H., et al. Primate homologs of mouse cortico-striatal circuits. eLife, 9, 2020, e53680.
Fusar-Poli, P., et al. Abnormal prefrontal activation directly related to pre-synaptic striatal dopamine dysfunction in people at clinical high risk for psychosis. Mol. Psychiatry 16 (2011), 67–75.
Fusar-Poli, P., et al. Abnormal frontostriatal interactions in people with prodromal signs of psychosis: a multimodal imaging study. Arch. Gen. Psychiatry 67 (2010), 683–691.
Shofty, B., et al. Autism-associated Nf1 deficiency disrupts corticocortical and corticostriatal functional connectivity in human and mouse. Neurobiol. Dis., 130, 2019, 104479.
Vaneden, C.G., Development of connections between the mediodorsal nucleus of the thalamus and the prefrontal cortex in the rat. J. Comp. Neurol. 244 (1986), 349–359.
Ferguson, B.R., Gao, W.J., Development of thalamocortical connections between the mediodorsal thalamus and the prefrontal cortex and its implication in cognition. Front. Hum. Neurosci., 8, 2015, 1027.
DeNicola, A.L., et al. Differential roles of mediodorsal nucleus of the thalamus and prefrontal cortex in decision-making and state representation in a cognitive control task measuring deficits in schizophrenia. J. Neurosci. 40 (2020), 1650–1667.
Parnaudeau, S., et al. Inhibition of mediodorsal thalamus disrupts thalamofrontal connectivity and cognition. Neuron 77 (2013), 1151–1162.
Hartung, H., et al. Thalamic and entorhinal network activity differently modulates the functional development of prefrontal–hippocampal interactions. J. Neurosci. 36 (2016), 3676–3690.
Kalsbeek, A., et al. Monoamine and metabolite levels in the prefrontal cortex and the mesolimbic forebrain following neonatal lesions of the ventral tegmental area. Brain Res. 479 (1989), 339–343.
Kalsbeek, A., et al. Development of the dopaminergic innervation in the prefrontal cortex of the rat. J. Comp. Neurol. 269 (1988), 58–72.
Feenstra, M.G.P., et al. Neonatal lesions of the ventral tegmental area affect monoaminergic responses to stress in the medial prefrontal cortex and other dopamine projection areas in adulthood. Brain Res. 596 (1992), 169–182.
Mount, C.W., Monje, M., Wrapped to adapt: experience-dependent myelination. Neuron 95 (2017), 743–756.
Petanjek, Z., et al. Extraordinary neoteny of synaptic spines in the human prefrontal cortex. Proc. Natl. Acad. Sci. U. S. A. 108 (2011), 13281–13286.
Paus, T., et al. Why do many psychiatric disorders emerge during adolescence?. Nat. Rev. Neurosci. 9 (2008), 947–957.
Casey, B.J., Jones, R.M., Neurobiology of the adolescent brain and behavior: implications for substance use disorders. J. Am. Acad. Child Adolesc. Psychiatry 49 (2010), 1189–1201.
Nagy, Z., et al. Maturation of white matter is associated with the development of cognitive functions during childhood. J. Cogn. Neurosci. 16 (2004), 1227–1233.
Liston, C., et al. Frontostriatal microstructure modulates efficient recruitment of cognitive control. Cereb. Cortex 16 (2006), 553–560.
Marek, S., et al. Adolescent development of cortical oscillations: power, phase, and support of cognitive maturation. PLoS Biol., 16, 2018, e2004188.
Uhlhaas, P.J., et al. The development of neural synchrony reflects late maturation and restructuring of functional networks in humans. Proc. Natl. Acad. Sci. U. S. A. 106 (2009), 9866–9871.
de Almeida, J., et al. Refinement of neuronal synchronization with gamma oscillations in the medial prefrontal cortex after adolescence. PLoS One, 8, 2013, e62978.
Caballero, A., et al. Differential regulation of parvalbumin and calretinin interneurons in the prefrontal cortex during adolescence. Brain Struct. Funct. 219 (2014), 395–406.
Konstantoudaki, X., et al. Prefrontal cortical-specific differences in behavior and synaptic plasticity between adolescent and adult mice. J. Neurophysiol. 119 (2018), 822–833.
Datta, D., et al. Developmental expression patterns of GABAA receptor subunits in layer 3 and 5 pyramidal cells of monkey prefrontal cortex. Cereb. Cortex 25 (2015), 2295–2305.
Gonzalez-Burgos, G., et al. Alterations in cortical network oscillations and parvalbumin neurons in schizophrenia. Biol. Psychiatry 77 (2015), 1031–1040.
van Kerkhof, L.W.M., et al. Social play behavior in adolescent rats is mediated by functional activity in medial prefrontal cortex and striatum. Neuropsychopharmacology 38 (2013), 1899–1909.
Glasper, E.R., et al. Sexual experience enhances cognitive flexibility and dendritic spine density in the medial prefrontal cortex. Neurobiol. Learn. Mem. 125 (2015), 73–79.
Crone, E.A., Dahl, R.E., Understanding adolescence as a period of social-affective engagement and goal flexibility. Nat. Rev. Neurosci. 13 (2012), 636–650.
Blakemore, S.J., Choudhury, S., Development of the adolescent brain: implications for executive function and social cognition. J. Child Psychol. Psychiatry 47 (2006), 296–312.
Casey, B.J., et al. The adolescent brain. Dev. Rev. 28 (2008), 62–77.
Steinberg, L., Risk taking in adolescence: what changes, and why?. Ann. N. Y. Acad. Sci. 1021 (2004), 51–58.
Larsen, B., Luna, B., Adolescence as a neurobiological critical period for the development of higher-order cognition. Neurosci. Biobehav. Rev. 94 (2018), 179–195.
Lidow, M.S., Rakic, P., Scheduling of monoaminergic neurotransmitter receptor expression in the primate neocortex during postnatal-development. Cereb. Cortex 2 (1992), 401–416.
Rosenberg, D.R., Lewis, D.A., Postnatal maturation of the dopaminergic innervation of monkey prefrontal and motor cortices – a tyrosine-hydroxylase immunohistochemical analysis. J. Comp. Neurol. 358 (1995), 383–400.
O'Donnell, P., Adolescent maturation of cortical dopamine. Neurotox. Res. 18 (2010), 306–312.
Porter, L.L., et al. Dopamine affects parvalbumin expression during cortical development in vitro. J. Neurosci. 19 (1999), 8990–9003.
Sakurai, T., Gamo, N.J., Cognitive functions associated with developing prefrontal cortex during adolescence and developmental neuropsychiatric disorders. Neurobiol. Dis., 131, 2019, 104322.
McEwen, B.S., Morrison, J.H., The brain on stress: vulnerability and plasticity of the prefrontal cortex over the life course. Neuron 79 (2013), 16–29.
Insel, T.R., Rethinking schizophrenia. Nature 468 (2010), 187–193.
Fusar-Poli, P., et al. The psychosis high-risk state: a comprehensive state-of-the-art review. JAMA Psychiatry 70 (2013), 107–120.
Leicht, G., et al. EEG-informed fMRI reveals a disturbed gamma-band-specific network in subjects at high risk for psychosis. Schizophr. Bull. 42 (2016), 239–249.
Andreou, C., et al. Resting-state theta-band connectivity and verbal memory in schizophrenia and in the high-risk state. Schizophr. Res. 161 (2015), 299–307.
Lewis, D.A., Cortical circuit dysfunction and cognitive deficits in schizophrenia – implications for preemptive interventions. Eur. J. Neurosci. 35 (2012), 1871–1878.
O'Donnell, P., Adolescent onset of cortical disinhibition in schizophrenia: insights from animal models. Schizophr. Bull. 37 (2011), 484–492.
Gonzalez-Burgos, G., Lewis, D.A., GABA neurons and the mechanisms of network oscillations: implications for understanding cortical dysfunction in schizophrenia. Schizophr. Bull. 34 (2008), 944–961.
Maas, D.A., et al. Interneuron hypomyelination is associated with cognitive inflexibility in a rat model of schizophrenia. Nat. Commun., 11, 2020, 2329.
van Os, J., Kapur, S., Schizophrenia. Lancet 374 (2009), 635–645.
Diwadkar, V.A., et al. Working memory and attention deficits in adolescent offspring of schizophrenia or bipolar patients: comparing vulnerability markers. Prog. Neuro-Psychopharmacol. Biol. Psychiatry 35 (2011), 1349–1354.
Piekarski, D.J., et al. Does puberty mark a transition in sensitive periods for plasticity in the associative neocortex?. Brain Res. 1654 (2017), 123–144.
Trujillo, C.A., et al. Complex oscillatory waves emerging from cortical organoids model early human brain network development. Cell Stem Cell 25 (2019), 558–569.
Buzsaki, G., et al. The origin of extracellular fields and currents – EEG, ECoG, LFP and spikes. Nat. Rev. Neurosci. 13 (2012), 407–420.
Cohen, M.X., Where does EEG come from and what does it mean?. Trends Neurosci. 40 (2017), 208–218.
Nir, Y., et al. Coupling between neuronal firing rate, gamma LFP, and BOLD fMRI is related to interneuronal correlations. Curr. Biol. 17 (2007), 1275–1285.
Mateo, C., et al. Entrainment of arteriole vasomotor fluctuations by neural activity is a basis of blood-oxygenation-level-dependent “resting-state” connectivity. Neuron 96 (2017), 936–948.e933.
Pan, W.J., et al. Infraslow LFP correlates to resting-state fMRI BOLD signals. Neuroimage 74 (2013), 288–297.
Wei, Z., et al. A comparison of neuronal population dynamics measured with calcium imaging and electrophysiology. PLoS Comput. Biol., 16, 2020, e1008198.
Vanhatalo, S., Kaila, K., Development of neonatal EEG activity: from phenomenology to physiology. Semin. Fetal Neonatal Med. 11 (2006), 471–478.
Khazipov, R., et al. Early motor activity drives spindle bursts in the developing somatosensory cortex. Nature 432 (2004), 758–761.
Avitan, L., Goodhill, G.J., Code under construction: neural coding over development. Trends Neurosci. 41 (2018), 599–609.
Adelsberger, H., et al. Cortical calcium waves in resting newborn mice. Nat. Neurosci. 8 (2005), 988–990.
Colonnese, M., Khazipov, R., Spontaneous activity in developing sensory circuits: implications for resting state fMRI. Neuroimage 62 (2012), 2212–2221.
Golshani, P., et al. Internally mediated developmental desynchronization of neocortical network activity. J. Neurosci. 29 (2009), 10890–10899.
Rochefort, N.L., et al. Sparsification of neuronal activity in the visual cortex at eye-opening. Proc. Natl. Acad. Sci. U. S. A. 106 (2009), 15049–15054.
Shen, J., Colonnese, M.T., Development of activity in the mouse visual cortex. J. Neurosci. 36 (2016), 12259–12275.
Gribizis, A., et al. Visual cortex gains independence from peripheral drive before eye opening. Neuron 104 (2019), 711–723.
Mizuno, H., et al. Patchwork-type spontaneous activity in neonatal barrel cortex layer 4 transmitted via thalamocortical projections. Cell Rep. 22 (2018), 123–135.
Anton-Bolanos, N., et al. Prenatal activity from thalamic neurons governs the emergence of functional cortical maps in mice. Science 364 (2019), 987–990.
Dooley, J.C., et al. Self-generated whisker movements drive state-dependent sensory input to developing barrel cortex. Curr. Biol. 30 (2020), 2404–2410.e2404.
Batista-Brito, R., et al. Developmental dysfunction of VIP interneurons impairs cortical circuits. Neuron 95 (2017), 884–895.
Che, A., et al. Layer I interneurons sharpen sensory maps during neonatal development. Neuron 99 (2018), 98–116.
Duan, Z.R.S., et al. GABAergic restriction of network dynamics regulates interneuron survival in the developing cortex. Neuron 105 (2020), 75–92.
Purdon, P.L., et al. Clinical electroencephalography for anesthesiologists part I: background and basic signatures. Anesthesiology 123 (2015), 937–960.
Kertai, M.D., et al. Brain monitoring with electroencephalography and the electroencephalogram-derived bispectral index during cardiac surgery. Anesth. Analg. 114 (2012), 533–546.
Chini, M., et al. Neural correlates of anesthesia in newborn mice and humans. Front. Neural Circuits, 13, 2019, 38.
Agrawal, U., et al. Electroencephalographic features of discontinuous activity in anesthetized infants and children. PLoS One, 14, 2019, e0223324.
Poorun, R., et al. Electroencephalography during general anaesthesia differs between term-born and premature-born children. Clin. Neurophysiol. 127 (2016), 1216–1222.
Blumberg, M.S., et al. The developing brain revealed during sleep. Curr. Opin. Physiol. 15 (2020), 14–22.
Cornelissen, L., et al. Clinical signs and electroencephalographic patterns of emergence from sevoflurane anaesthesia in children: an observational study. Eur. J. Anaesthesiol. 35 (2018), 49–59.
Niethard, N., et al. Cortical circuit activity underlying sleep slow oscillations and spindles. Proc. Natl. Acad. Sci. U. S. A. 115 (2018), E9220–E9229.
O'Toole, J.M., et al. Estimating functional brain maturity in very and extremely preterm neonates using automated analysis of the electroencephalogram. Clin. Neurophysiol. 127 (2016), 2910–2918.