PSYC21022 - Week 4: The developing brain

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64 Terms

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Nature vs. nurture

  • Extent to which cognition and behavior (and brain development) can be attributed to genes or environment

    • Nature = genetic blueprint (things we are born with)

    • Nurture = experiences

  • History

    • Nature: Francis Galton (1874) - geniuses are born not made

    • Nurture: Freud; Skinner's behaviourism; Vygotsky

    • Middle ground (e.g., Piaget/neuroconstructivism): interaction between environment and genetic factors

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Nature vs. nurture and the brain

  • Human brains are similar (functionally and structurally), but our experiences are different

  • Theories:

    • Blueprint analogy

    • Predetermined development

    • Probabilistic development

<ul><li><p><span>Human brains are similar (functionally and structurally), but our experiences are different</span></p></li><li><p><span>Theories:</span></p><ul><li><p><span>Blueprint analogy</span></p></li><li><p><span>Predetermined development</span></p></li><li><p><span>Probabilistic development</span></p></li></ul></li></ul>
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Blueprint analogy

  • genes will shape how the brain develops (predetermine each connection between neurons) -> hard to achieve, millions of connections

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Predetermined development

  • genes will enable certain brain structure/functions, and this will enable experiences

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Probabilistic development

  • modern dominant view - different levels interact with each other (experiences can affect genes, vice versa)

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Prenatal brain development

  • Gestation around 38 weeks

  • When babies are born, they have similar brains to adult brains

  • Cell division

  • After 2 weeks -> Cell specialization

    • Proliferative zones: neurons and glial cells are produced

    • During early development 250,000 neurons are produced per minute

    • Neurons migrate to their final location

  • Neural tube differentiation 

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Many structural features of the brain emerge from other constraints

  • Folded cortex emerges from having lots of neurons

  • Pattern of gyri/sulci pulled into shape by tension of axon bundles (white matter tracts)

  • Hebbian learning: spontaneous electrical activity enables networks to form (e.g., electric activity from retina helps to form visual pathways)

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Postnatal brain development

  • Majority of neurons formed prior to birth

  • Newborn born weighs 450g (vs. 1400g adult brain)

  • Postnatal increase in brain size:

    • Synaptogenesis

    • Myelination

    • Glial cell proliferation

  • Plasticity: experience dependent change in neural functioning

  • Experience alone can lead to small but observable structural changes (e.g., juggling, driving a taxi)

  • Increased grey matter: new synapses, dendrites, axon collaterals, glia cells

<ul><li><p>Majority of neurons formed prior to birth</p></li><li><p>Newborn born weighs 450g (vs. 1400g adult brain)</p></li><li><p>Postnatal increase in brain size:</p><ul><li><p>Synaptogenesis</p></li><li><p>Myelination</p></li><li><p>Glial cell proliferation</p></li></ul></li><li><p><span>Plasticity: experience dependent change in neural functioning</span></p></li><li><p><span>Experience alone can lead to small but observable structural changes (e.g., juggling, driving a taxi)</span></p></li><li><p><span>Increased grey matter: new synapses, dendrites, axon collaterals, glia cells</span></p></li></ul>
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Synaptogenesis

  • Number of synapses will increase after birth

  • More synapses does not mean more efficient functioning

  • Fine tuning can help more efficient functioning (redundant connections eliminated)

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  • Myelination

  • Fatty sheath around axons

  • Increases speed of info transfer

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  • Glial cell proliferation

  • Increase in cells contribute to size increase

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Plasticity

 experience dependent change in neural functioning

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juggling example

  • After practicing juggling, brain density increased

  • After stopping practicing, brain density decreases but not all the way

<ul><li><p><span>After practicing juggling, brain density increased</span></p></li><li><p><span>After stopping practicing, brain density decreases but not all the way</span></p></li></ul>
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Functional brain development - Functional brain plasticity

prenatal brain damage can lead to major reorganization of tracts;

  • Functional brain plasticity has its limits

    • Spontaneous electrical activity enables networks to form intrauterine (prenatally) - these connections won't be fully lost

    • Opportunities for major reorganization are time-limited = critical or sensitive periods

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Functional brain development - Case study: AH - no right hemisphere, only left hemisphere developed in the womb

Information from both visual fields was processed through the existing left hemisphere

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Critical sensitive periods

  • 2 main features:

    1. Learning takes place within a limited window

      • But opportunity/timing can be extended in lack of experience

      • Not so strict/critical

    2. This learning is hard to reverse by later experiences

      • But chicks imprinted to 1 object can generalize to similar objects (colour/shape)

      • Preference can be changed after sensitive period

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Konrad Lorenz:

studied how birds recognize their mother

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Filial imprinting

  • the processing by which young animals learn to recognize the parent

    • Happens between 15h-3 days

    • Movement is crucial

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Critical sensitive periods - 2 possible explanations:

  1. Genetically programmed synaptogenesis (readies brain for learning), followed by reduced plasticity (learned info is then 'fossilized')

  2. Closure of window could be initiated by learning itself, i.e., environmental cues

    • E.g., particular gene plays a role in filial imprinting, it is switched off after exposure (need environment in order for time window to be closed)

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Innate knowledge

  • Empiricist vs. nativist view

    • Empiricism: newborn mind is a blank state

    • Nativist: we are born with some knowledge

  • Modern view

    • Innate = readiness to learn (e.g., imprinting)

    • Knowledge or behavior that arises in the absence of appropriate experience

      • Development of cat visual cortex

      • Preferences in humans - sweet taste, visual pattern

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Modern view - Development of cat visual cortex

  • Cat visual cortex

  • Doesn't matter if cat did or did not have visual experience (same after 14 and 21 days), visual cortex develops in the same way

  • But after 3 weeks, they need visual experience to form a major type of visual cortex (or else they won't be sensitive to visual info)

<ul><li><p><span>Cat visual cortex</span></p></li><li><p><span>Doesn't matter if cat did or did not have visual experience (same after 14 and 21 days), visual cortex develops in the same way</span></p></li><li><p><span>But after 3 weeks, they need visual experience to form a major type of visual cortex (or else they won't be sensitive to visual info)</span></p></li></ul>
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How can we investigate brain development? - Structure is 'easy' - prenatal ultrasound

  • Structural: different types of tissue (skull, grey matter, white matter, CSF fluid) have different physical properties

    • Used to create static maps

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How can we investigate brain development? - Behavioural methods

  • We can infer brain development from behavior

    • E.g., preferential looking paradigm

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How can we investigate brain development? - Functional neuroscience methods

  • Functional: temporary changes in brain physiology associated with cognitive processing (e.g., fMRI)

  • Problem

    • We ask participants to perform some kind of task (categorization, counting) or to sit still and look at images

    • Infants won't perform tasks and they won't stay still

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How can we investigate brain development? - Functional neuroscience methods that can be used with infants and young children

  • Electrophysiological response (electromagnetic fields generated in the brain)

    • EEG/ERPs

  • Haemodynamic response (brain blood supply)

    • fMRI

    • fNIRS

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How can we investigate brain development? - Infant EEG

  • Infant friendly EEG systems/solutions that allow quick installation

  • Infant friendly stimuli

  • More breaks during the study

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How can we investigate brain development? - Infant ERPs

  • Some adult ERP peaks are present in infants but delayed

    • E.g., visual ERPs

    • N1/N290: perceptual and face specific component

  • Some ERP components are only present in infants and toddlers

  • Nc - negative central peak

    • Typically peaks between 300-700ms after stimulus onset

    • Reflect attention

    • Larger peak reflect higher attention

<ul><li><p><span>Some adult ERP peaks are present in infants but delayed</span></p><ul><li><p><span>E.g., visual ERPs</span></p></li><li><p><span>N1/N290: perceptual and face specific component</span></p></li></ul></li><li><p><span>Some ERP components are only present in infants and toddlers</span></p></li><li><p><span>Nc - negative central peak</span></p><ul><li><p><span>Typically peaks between 300-700ms after stimulus onset</span></p></li><li><p><span>Reflect attention</span></p></li><li><p><span>Larger peak reflect higher attention</span></p></li></ul></li></ul>
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fMRI

  • Not ideal to use with infants

    • Highly sensitive to motion artifacts

    • Loud, restrictive environment

  • But there are recent attempts to use fMRI with infants

    • Custom headphones

    • Adjustable 32-channel coil

  • E.g., face specific activity in the brain (yellow)

<ul><li><p><span>Not ideal to use with infants</span></p><ul><li><p><span>Highly sensitive to motion artifacts</span></p></li><li><p><span>Loud, restrictive environment</span></p></li></ul></li><li><p><span>But there are recent attempts to use fMRI with infants</span></p><ul><li><p><span>Custom headphones</span></p></li><li><p><span>Adjustable 32-channel coil</span></p></li></ul></li><li><p><span>E.g., face specific activity in the brain (yellow)</span></p></li></ul>
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fNIRS

  • Similarly to fMRI: it measures BOLD signal

  • Unlike fMRI, it uses the near infrared spectrum of light

  • Skin, tissue, bone are mostly transparent to NIR light

  • Hb and deoxyHB absorb NIR

  • Emitter: emits NIR light

  • Detector: detect NIR light

  • Hb and deoxyHB absorb of NIR - from the difference between emitted and detected NIR, we can compute BOLD

  • Measures the concentration changes of oxyHb and deoxyHb focally, related to brain activity

  • Can be an appropriate substitute for fMRI for studying brain activity related to cognitive tasks

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fNIRS pros and cons

  • Pros

    • fNIRS has lower spatial resolution

    • Only the surface of the cortex can be imaged

    • Often only a few sensors are used above a certain brain area

  • Cons

    • Portable

    • More tolerant of movement T

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Historical perspective

  • some believed either genes or environment determined everything

    • Galton - importance of genes

    • Freud - experience

    • Piaget - interactionist perspective

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Neuroconstructivism

emphasizes the interaction between genes and environment in shaping cognitive development

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Structural brain development

investigate how the brain grows and changes, both before and after birth

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Nature of developmental change

critical periods, sensitive periods, innate knowledge

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Behavioural genetics

genetic influences on brain development and behaviour

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Genetic code

  • Genetic code of brains makes human brains similar to each other, but it does not give a blueprint for individual brain structures

  • Think of the genetic code as a recipe for making a brain

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Probabilistic and predetermined development

describes how genes and environment interact in shaping the brain

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Predetermined development

  • Genes dictate brain structure, influencing brain function, determining our experiences

  • Genes have a deterministic influence on cognition

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Probabilistic development

  • Genes and experiences influence brain structure and function

  • Brain structure and gene expression can be influenced by experiences

  • Effects of genes on brain structure are probabilistic

  • Even in the same environment, the same genetic program does not produce identical brain structures

  • i.e., implications for identical twins - similar but not identical brains due to the probabilistic nature of development

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Prenatal development - Embryonic development of NS

  • Rapid cell division and differentiation forms neural tube

  • Neural tube: embryo's precursor to the CNS, consisting of a set of cells arranged in a hollow cylinder

  • 5 weeks - tube develops into bulges that become diff parts of brain

  • Proliferative zones within tube produce neurons and glial cells (neuroblasts and glioblasts)

    • Neuroblasts: stem cells for neurons

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Prenatal development - Neuronal migration

  • New neurons migrate outward to their final destinations in the brain

  • Process occurs…

    • Passively: older cells pushed to the surface of brain (i.e., hippocampus)

    • Actively: newer cell guidance from radial glial cells (i.e., neocortex)

  • Radial glial cells: support cells that guide neurons from the neural tube to their final destination

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Factors influencing brain structure

  • Molecular signals influence structure, migration, survival of neurons

  • Different doses of these signals determine the dimensions of brain lobes

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Formation of cortex

  • Develops in last few months before birth

  • Genetic mutations affecting neuron production can lead to convoluted cortical surfaces

  • Axon bundles place the cortical surface under tension, influencing its shape and variability

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Axon guidance

  • Influenced by molecular signals (like neural migration), biasing how and where axons form

  • White matter tracts continue to develop a more fine pattern after birth

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Spontaneous electrical activity in prenatal neurons

  • Prenatal neurons exhibit spontaneous electrical activity, helping form networks in the brain based on Hebbian learning principles

  • Hebbian learning: strengthening of a synapse that occurs when the presynaptic and postsynaptic neurons are active at the same time

  • Spontaneous electrical activity plays a crucial role in setting up synaptic pathways for later sensory processing

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Postnatal development - brain volume expands

  • Most neurons are formed before birth, but brain volume expands after birth due to:

    • Synapse growth, dendrite and axon bundle growth, glial cell proliferation, myelination of nerve fibres

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Postnatal development - Synaptic density changes

  • Rise and fall in synapse formation (synaptogenesis) in various cortical areas during development

  • Synaptic density peaks at different times in different brain regions

  • Fine-tuning the brain to match environmental needs renders some connections redundant, leading to a decrease in synapse numbers

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Postnatal development - Myelination and white matter volume

  • Myelination, the increase in fatty sheath around axons, increases the speed of info transmission

  • Increase in white matter volume over the first 2 decades of life reflects the time course of myelination

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Postnatal development - Plasticity and experience-dependent changes

  • Everyday experiences result in changes to the brain's structure

  • Learning new skills can lead to visible changes in brain structure, like increased grey matter density

  • Plasticity refers to experience-dependent changes in neural functioning, which can occur throughout life

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Postnatal development - Gray matter density and cognitive ability

  • Gray matter density not always a simple proxy for cognitive ability

  • E.g., congenitally blind individuals may have more gray matter in their visual cortex; congenital amusia patients may have more gray matter in their auditory cortex

  • Gray matter changes can result from (a) developmental pruning of synapses (thinner is better) or (b) experience-dependent changes (thicker is better)

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Postnatal development - Mechanisms underlying structural changes

  • cellular/molecular mechanisms that could underpin experience-related structural changes

    • Neurogenesis unlikely outside of the hippocampus

    • Other mechanisms like growing dendritic branches, synapses, axon collaterals could increase gray matter

    • Changes in glial cells, capillary vasculature, myelination can contribute to gray matter changes

    • Fractional anisotropy (in DTI) may increase as axons become more aligned or myelinated

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Functional brain plasticity in rewired brains

  • In response to abnormalities, the brain can reorganize itself in unique ways (no genetic blueprint for each brain)

  • Case study of AH

    • AH, 10 YO girl, failed to develop a right hemisphere and right eye prenatally but had minor visual impairments

    • Visual info could reroute into the intact hemisphere, with neurons coding left AND right sides of space

  • Examples of brain rewiring in animals

    • Through surgical transplants or pathway severance

    • Prenatal visual cortex transplanted into somatosensory cortex responds to touch

    • Severed pathways from the cochlear to the medial geniculate nucleus reroute visual inputs into auditory cortex

  • Consequences of brain rewiring

    • Rerouted neurons can take on functional characteristics of the new region

    • Rewired areas may retain vestiges of their original connections and new representations may be less precise than normal regions

  • Limits of brain plasticity

    • Neurons are not fully interchangeable

    • Major reorganization appear to be time-limited, suggesting critical/sensitive periods

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Critical and sensitive periods in development

  • Lorenz's study of filial imprinting in ducklings demonstrated a narrow window of opportunity for imprinting

    • Filial imprinting: process by which a young animal comes to recognize the parent

    • Movement of stimulus important for determining what object the duck will imprint to

  • Critical period: time window in which appropriate environmental input is essential for learning to take place

  • Sensitive period: time window in which appropriate environmental input is particularly important (not necessarily essential) for learning to take place

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Critical periods have 2 features:

  • Limited time window for learning

  • Difficulty in reversing learning after the period ends

    • Possible in certain circumstances: chick imprinted to one object will often generalize to other objects of similar appearance

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Examples of critical/sensitive periods

  • Hubel and Wiesel's study on cats showed a sensitive period for visual cortex development - deprivation leading to permanent changes

  • Language acquisition shows evidence of sensitive periods

    • Different components of language may have their own sensitive period (e.g., hearing, motor ability, working memory capacity)

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  • Feral children and language acquisition

While Genie showed some language development after being rescued, her proficiency remained poor compared to young children

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Second language acquisition

  • Differences in neural processing based on age of acquisition and proficiency level

  • Sensitive period

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Properties of the NS and sensitive periods

  • Sensitive periods may be governed by a maturational timetable or self-terminating processes

  • E.g., genes may control timing of sensitive periods, and NS may wait for suitable environmental cues

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Innate knowledge?

  • Empiricism: view that the newborn mind is a blank slate

  • Nativism: view that at least some forms of knowledge are innate

  • Instinct: behavior that is a product of natural selection

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2 views of innate knowledge:

  1. Innate as readiness for learning: some behaviours have a genetic basis but need suitable experiences to develop fully (e.g., filial imprinting, language acquisition)

  2. Innate as independent of experience: certain behaviours/abilities emerge even without relevant experience (e.g., development of primary visual cortex in cats is innate but refined by experience)

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Prepared learning:

  • common phobias are biologically determined from evolutionary pressures

    • E.g., fear of snakes

    • Requires suitable experience

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Arguments for innate abilities

  • Newborns can imitate tongue protrusion without prior experience - innate ability for intermodal matching

  • Some dispositions, preferences, abilities may have innate components, but the specific content of knowledge is challenging to determine

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Complexity of innate knowledge

  • Preferences for certain patterns (like faces) may have evolutionary roots, but specific knowledge can vary based on context and experience

  • While some behaviours may appear innate, they often interact with environmental factors, making it difficult to pinpoint purely innate knowledge

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Functional near infrared spectroscopy (fNIRS)

  • Measures the BOLD signal

  • Does not have magnetic fields

  • Employs near-infrared light around 800 nanometres wavelength

  • Near-infrared light is sent to the brain, scattering more strongly by oxy- and deoxyhemoglobin

    • Degree of scattering used to calculate BOLD response, indicating neural activity

  • Advantages

    • Portability and tolerance to movement make fNIRS suitable for various applications

    • More affordable

  • Limitations

    • Can only capture neural activity close to the scalp due to its shallow imaging depth