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. 2018 Dec;20(4):267–282. doi: 10.31887/DCNS.2018.20.4/gmirzaa

From microcephaly to megalencephaly: determinants of brain size

De la microcefalia a la megalencefalia: determinantes del tamaño cerebral

De la microcéphalie à la macrocéphalie: les déterminants de la taille du cerveau

Filomena Pirozzi 1, Branden Nelson 2, Ghayda Mirzaa 3,*
PMCID: PMC6436952  PMID: 30936767

Abstract

Expansion of the human brain, and specifically the neocortex, is among the most remarkable evolutionary processes that correlates with cognitive, emotional, and social abilities. Cortical expansion is determined through a tightly orchestrated process of neural stem cell proliferation, migration, and ongoing organization, synaptogenesis, and apoptosis. Perturbations of each of these intricate steps can lead to abnormalities of brain size in humans, whether small (microcephaly) or large (megalencephaly). Abnormalities of brain growth can be clinically isolated or occur as part of complex syndromes associated with other neurodevelopmental problems (eg, epilepsy, autism, intellectual disability), brain malformations, and body growth abnormalities. Thorough review of the genetic literature reveals that human microcephaly and megalencephaly are caused by mutations of a rapidly growing number of genes linked within critical cellular pathways that impact early brain development, with important pathomechanistic links to cancer, body growth, and epilepsy. Given the rapid rate of causal gene identification for microcephaly and megalencephaly understanding the roles and interplay of these important signaling pathways is crucial to further unravel the mechanisms underlying brain growth disorders and, more fundamentally, normal brain growth and development in humans. In this review, we will (a) overview the definitions of microcephaly and megalencephaly, highlighting their classifications in clinical practice; (b) overview the most common genes and pathways underlying microcephaly and megalencephaly based on the fundamental cellular processes that are perturbed during cortical development; and (c) outline general clinical molecular diagnostic workflows for children and adults presenting with microcephaly and megalencephaly.

Keywords: brain size, macrocephaly, megalencephaly, microcephaly

Introduction

The adult human brain weighs between 1200 to 1400 g, constituting of approximately 2% of the total body mass, a strikingly larger fraction than other primates.1-3 The expansion of the human brain, particularly the forebrain and total cortical surface area, is among the most remarkable evolutionary processes and correlates with a wide range of cognitive, social, and emotional abilities in humans.4-6 The increase in cortical volume and, consequently, brain size that occurred in the genus Homo is believed to explain the emergence of human-specific cognitive and social abilities that arose with this genus, although the underlying morphology-to-function relationships that arose during evolution are not fully understood.7 Nonetheless, this hypothesis is supported by evidence that different neuroanatomical regions followed different developmental patterns, possibly due to the relative cognitive and social functions that developed at any given time; with the visual cortex and the premotor area (associated to sight and motor control) developing at a slower rate compared to temporal lobe and prefrontal cortex (associated with memory, emotions and conceptual understanding).7,8

Human brain size is determined through a tightly orchestrated and intricate process of neural stem cell proliferation, expansion, migration, followed by ongoing organization, synaptogenesis, and apoptosis. The molecular mechanisms underlying the positive and negative regulation of these processes—and the extreme cases of microcephaly and megalencephaly seen in humans—have provided scientists with important evolutionary insights about the brain. Identification of mutations of key genes associated with microcephaly (eg, primary microcephaly genes such as ASPM, CDK5RAP2, MCPH1, CENPJ) for example, has led evolutionary biologists and anthropologists to establish the presence of selective pressure during human evolution.9,10 Interestingly, the development of the mammalian neocortex appears to be a species-specific process with notable differences even in species that are genetically similar.11,12 The uniqueness of the human neocortical development and evolution seems to be due to the presence of increased heterogeneity in the neural precursors population, in particular the presence of outer radial glia cells in the outer subventricular zone, which are absent or present in very low numbers in other mammals.12-15 This highlights a decades-long challenge for scientists trying to model neurodevelopmental disorders associated with brain growth dysregulation, as animal models often do not recapitulate all of the features of neurological disorders in humans primarily due to intrinsic differences in embryonic neocortical development.16,17

Neurodevelopmental disorders associated with abnormal brain growth with or without cortical malformations are important causes of morbidity and mortality with multiple neurodevelopmental consequences including intellectual disability (ID), autism spectrum disorders (ASD), and epilepsy typically manifesting in infancy or early childhood. Further, expert review of large cohorts of children with malformations of cortical development (MCDs) has identified brain size to be an important predictor of the degree of neurological impairment.18 The occipitofrontal circumference (OFC) of full term infants ranges from 32 to 37 cm at birth, increasing by 0.4 cm per week during the first several months and by ~1 cm per month during the first year of life, with the first 2 years of life characterized as the most rapid period of brain growth during development, to ultimately reach the adult human OFC of 52 to 58 cm and 52.5 to 58.5 cm in females and males, respectively.1 Assuming head size is normally distributed in populations, 0.1% of children have a head size more than 3 SD above or below the mean. This suggests that more than 220 000 of the 74 million children living in the USA have severe megalencephaly (MEG) or microcephaly (MIC), and many more have mild MEG or MIC19 The prevalence of microcephaly (OFC ≤3 SD) in Europe was found to be 1.53 per 10 000 individuals between 2003 and 2012 (95% confidence interval 1.16 to 1.96) in a recent population based study.20 Brain growth abnormalities can be isolated or occur in a wide range of neurodevelopmental syndromes. Microcephaly has been reported in more than 700 genetic syndromes, and macrocephaly in more than 200 genetic syndromes in the Online Mendelian Inheritance in Man (OMIM) database (the more specific clinical term for brain overgrowth, megalencephaly or MEG, is less used in this database).

In this review, we will (a) overview the definitions of microcephaly and megalencephaly, highlighting their classifications in clinical practice; (b) overview the most common genes and pathways underlying microcephaly and megalencephaly based on the fundamental cellular processes that are perturbed during cortical development; and (c) outline general clinical molecular diagnostic workflows for children and adults presenting with microcephaly and megalencephaly. Table I lists the most common genes, pathways, and syndromes known to be associated with brain growth abnormalities in humans, to date. Figure 1 presents a schematic overview of the genetic and non-genetic causes of microcephaly and megalencephaly broadly, highlighting the known cellular mechanisms and/or pathways. Importantly, this review will not cover metabolic etiologies of microcephaly and megalencephaly, as the underlying mechanisms of neurometabolic brain growth abnormalities are quite distinct and beyond the scope of this review.

Figure 1. (Opposite) Overview of causes of MIC and MEG. A, Representative brain MR images of microcephaly (MEG), normocephaly (NC) and megalencephaly (MEG). B, Pie graphs demonstrating the types of genetic abnormalities identified in MIC and MEG, along with other (environmental) causes listed as well. C, Schematic representation of the most common MIC—and MEG—associated gene in relationship to their cell function and/or pathway. * The contributions of these genetic abnormalities are derived from the numbers of pathogenic and likely pathogenic mutations deposited in the ClinVar Database for microcephaly and megalencephaly (last accessed July 2018). ** These environmental factors are specifically associated with macrocephaly (large head size) most often due to hydrocephalus or ventriculomegaly, not true brain overgrowth (aka. true MEG), as the latter is most often, if not always, caused by genetic factors. Excluded from this figure are causes of neurometabolic MEG.

Figure 1

TABLE I. Pathways and genes underlying microcephaly (MIC) and megalencephaly (MEG).

Pathway/cell function Genes Inheritance Neuronal phenotype Brain MRI findings Syndromic association Body growth abnormalities Cancer predisposition* Epilepsy
MICROCEPHALY
Cell cycle: Centro-some formation, spindle orientation, microtubule organization, cytokinesis MCPH1 AR Premature chromosome condensation, decreased neuronal proliferation, premature differentiation SIMP Congenital MIC + - -
ASPM AR Decreased neuronal proliferation Decreased brain volume, SIMP Congenital MIC - - +/-
WDR62 AR Decreased neuronal proliferation MCDs, complex Congenital MIC, cortical dysplasia - - -
CD-K5RAP2 AR Premature differentiation Decreased brain volume, SIMP Congenital MIC - - -
CASC5 AR Decreased neuronal proliferation Decreased brain volume, SIMP Congenital MIC - - -
CENPJ AR Increased apoptosis Decreased brain volume, SIMP Congenital MIC, Seckel syndrome + - +
SASS6** AR Decreased neuronal proliferation, exact neuronal phenotype not well-understood Decreased brain volume, SIMP Congenital MIC - - +
STIL AR Neural tube defects, increased sensitivity to neurotoxic insult Holoprosencephaly, SIMP Congenital MIC - - -
CEP152 AR Abnormal centrosome structure and function, decreased neuronal proliferation Decreased brain volume, SIMP Congenital MIC, Seckel syndrome + - -
CEP63** AR Increased cell death due to increased centrosome-based mitotic errors. Decreased brain volume, SIMP Seckel syndrome + - -
NDE1 AR Decreased neuronal proliferation MCDs, complex Microhydranencephaly, lissencephaly + - -
NIN AR Defects of the anterior neuroectoderm Decreased brain volume, SIMP Seckel syndrome + - -
PCNT AR Disorganized mitotic pindles and misaggregation of chromosomes, decreased neuronal proliferation Decreased brain volume, SIMP, vascular abnormalities MOPD type II + - -
BUB1B AR Decreased neuronal proliferation, increased apoptosis Complex Mosaic variegated aneuploidy + + -
CENPE AR Potential defect of neuronal proliferation Decreased brain volume, SIMP Congenital MIC, MOPD + - -
Centro-some formation, spindle orientation, micro-tubule organization, cytokinesis KIF5C AD/ de novo Abnormal microtubule function Complex Cortical dysplasia - - +
KIF2A AD/ de novo Abnormal axonal branching with consequently reduced neuronal volume Complex Cortical dysplasia + - +
KIF11 AD/ de novo Abnormal mitotic spindles, decreased neuronal proliferation Decreased brain volume, SIMP Microcephaly-chorioretinopathy-lymphedema - - -
KIF14 AR Increased neuronal apoptosis, impaired cell migration and motility, decreased myelination Decreased brain volume, large basal cisterns, optic nerve atrophy Congenital MIC, Meckel syndrome + - -
TUBA1A AD/ de novo Abnormal neuronal migration Complex Tubulinopathy - - +
TUBG1 AD/ de novo Abnormal neuronal migration Complex Tubulinopathy - - -
TUBB2B AD/ de novo Abnormal neuronal migration Complex Tubulinopathy - - -
TBCD AR Abnormal microtubule structure and function with likely effects on neuronal proliferation and migration Complex Encephalopathy, atrophy, thin corpus callosum + - +
POC1A AR Abnormal mitotic spindles and centrioles with likely effects on neuronal proliferation and migration - Short stature, on-ychodysplasia, facial dysmorphism, hypotrichosis + - -
ZNF335 AR Reduced proliferation, defects of neuronal differentiation and migration SIMP Congenital MIC + - -
CIT AR Impaired neuronal cytokinesis, delayed mitosis, cellular blebbing, multipolar spindles, genome instability, increased apoptosis Complex Congenital MIC - - -
NCAPD2 AR Impaired chromosome segregation, reduced neuronal proliferation, reduced cell survival Decreased brain volume, SIMP Congenital MIC + - -
NCAPD3 AR Impaired chromosome segregation, reduced neuronal proliferation, reduced cell survival - - -
NCAPH** AR Impaired chromosome segregation, reduced neuronal proliferation, reduced cell survival - - -
KATNB1 AR Supernumerary centrosomes and spindle abnormalities Decreased brain volume, SIMP, cortical dysplasia Congenital MIC, cortical dysplasia - - +
Cell cycle: kinetochore CEP135 AR Fragmented or lack of centrosomes with disorganized microtubules, decreased neuronal proliferation Decreased brain volume, SIMP Congenital MIC - - -
CENPF AR Abnormal spindle orientation and ciliogenesis Decreased brain volume, SIMP Stromme syndrome - - -
CHAMP1 AD/ de novo Abnormal kinetochore-microtubule attachment Decreased brain volume, SIMP Intellectual disability, microcephaly - - -
Cell cycle: mitotic chromosome structure NCAPD2 Abnormal chromosome condensation, and sister chromatid disentanglement Decreased brain volume, SIMP AR microcephaly + - -
NCAPH AR Decreased brain volume, SIMP AR microcephaly - - -
NCAPD3 AR Decreased brain volume, SIMP AR microcephaly + -
Origin Recognition Complex ORC1 AR Abnormal DNA replication and likely abnormal neuronal proliferation SIMP MGORS + - -
ORC4 AR SIMP MGORS + - -
ORC6 AR SIMP MGORS + - -
CDT1 AR SIMP MGORS + - -
CDC6 AR SIMP MGORS + -
GMNN AR SIMP MGORS + - -
CDC45 AR SIMP MGORS + - -
DDR and chromosome stability and cell cycle regulation ATR AR/AD Exact neuronal phenotype not well-understood Complex Seckel syndrome, Familial cancer + - -
ATRIP AR Exact neuronal phenotype not well-understood SIMP Seckel syndrome + - -
RBBP8 AR Exact neuronal phenotype not well-understood Complex Seckel syndrome, Jawad syndrome + - -
NBN AR Aberrant regulation of early brain development SIMP Nijmegen breakage syndrome + + -
RAD50 AR Exact neuronal phenotype not well-understood SIMP Nijmegen breakage syndrome-like disorder + + -
MRE11A AR Exact neuronal phenotype not well-understood Complex Ataxia-telan-giectasia-like disorder - + +
PNKP AR Increased neurogenesis, defects in neuronal differentiation Complex Microcephaly with seizures and developmental delay, ataxia-oculomotor apraxia - - +
BRCA1 AR Neuroepithelial defects, reduced proliferation SIMP Fanconi anemia, complementation group S - + -
DDR and chromosome stability and cell cycle regulation BRCA2 AR Reduced neuronal proliferation SIMP Fanconi anemia, complementation group D1 - + -
LIG4 AR Exact neuronal phenotype not well-understood SIMP LIG4 syndrome + + -
NHEJ1 AR Exact neuronal phenotype not well-understood SIMP SCID with microcephaly + + -
DDX11 AR Exact neuronal phenotype not well-understood SIMP Warsaw breakage syndrome + + -
PHC1 AR Reduced proliferation, defects of differentiation SIMP Congenital MIC + - -
DNA2 AR Increased senescence, needs research SIMP Seckel syndrome + - -
XRCC2 AR Increased apoptosis of postmitotic neurons SIMP Fanconi anemia, complementation group U + + -
XRCC4 AR Increased apoptosis, reduced proliferation Complex Short stature, microcephaly, and endocrine dysfunction + + -
RECQL3 AR Exact neuronal phenotype not well-understood SIMP Bloom syndrome + + -
DONSON AR Decreased neuronal proliferation SIMP, abnormal WM, and MCDs Microcephaly-micromelia syndrome + - -
STAMBP AR Increased apoptosis Complex Microcephaly-capillary malformation + - +
CDK6 AR Exact neuronal phenotype not well-understood SIMP Congenital MIC - + -
ANKLE2 AR Decreased cell proliferation and increased apoptosis of neuroblasts SIMP, MCDs, ventricular abnormalities, ACC Congenital MIC + - +
MFSD2A AR BBB defects, neuronal cell loss, loss of transport activity SIMP Congenital MIC + - +
Cellular trafficking, fatty acid metabolism, lipid binding proteins WDFY3** AD Abnormal WNT activation, increased proliferation of apical progenitor cells, lack of neuronal differentiation, impaired cortical development (dominant-negative effect) MIC Congenital MIC - - -
COPB2** AR Increased apoptosis, reduction of upper layer neurons SIMP, thin CC, enlarged XAX, delayed myelination, progressive atrophy Congenital MIC + - +
MEGALENCEPHALY
PI3K-AKT-MTOR PIK3 CA AD/de novo (mosaic) Exact neuronal phenotype understudy, likely cell hypertrophy, abnormal neuronal organization PMG (BPP) PIK3CA-related overgrowth disorders + +/-(tentative, Wilms tumor) +
PTEN AD/ de novo Cell hypertrophy PMG, FCD PTEN-hamarto-ma tumor syndrome + + -
PIK3R2 AD/de novo Exact neuronal phenotype understudy, likely cell hypertrophy, abnormal neuronal organization PMG (BPP), mega CC Megalencephaly-polymicrogyria-polydactyly-hydrocephalus (MPPH) syndrome - - +
MTOR AD/de novo (mosaic) Cell hypertrophy, abnormal neuronal migration PMG/HMEG/FCD (depending on level of mosaicism) MTOR-related disorders - - +
CCND2 AD/de novo Increased neuronal proliferation PMG (BPP), mega CC MPPH syndrome - - +
RHEB AD/de novo Cell hypertrophy, abnormal migration - MEG-ID - - +
STRADA (LYK5) AR Abnormal neuronal lamination, mTORC1 hyperactivation VMEG, subependymal dysplasia, WM abnormalities Polyhydramnios-MEG-symptomatic epilepsy (PMSE) - - +
DEPDC5 AD/de novo Neuronal hypertrophy and abnormal neuronal organization FCD, MCDs Familial epilepsy - - +
AKT3*** AD/de novo (mosaic) Exact neuronal phenotype under study, likely cell hypertrophy, abnormal neuronal organization PMG/HMEG/FCD (depending on level of mosaicism) MPPH syndrome - - +
TSC1/TSC2 AD/de novo Neuronal hypertrophy Cortical tubers, subependymal nodules, HMEG/FCD Tuberous Sclerosis - + +
DNA methyltrans-ferases, transcription initiation, and regulators NSD1*** AD/de novo Exact neuronal phenotype not well-understood VMEG,XAX Sotos syndrome + - -
EED AD/de novo Abnormal EZH2 function, exact neuronal phenotype not well understood - Cohen-Gibson syndrome + - -
DNMT3A AD/de novo Exact neuronal phenotype not well-understood Tatton-Brown-Rahman syndrome + - +
EZH2 AD/de novo Exact neuronal phenotype not well-understood MCDs, VMEG Weaver syndrome + - +
DNA methyl-trans-ferases, transcription initiation, and regulators MYCN*** AD/de novo Decreased apoptosis - 2p24.3 duplication syndrome - + (w/ amplifications) -
MED12 X-linked Exact neuronal phenotype not well-understood Callosal abnormalities, VMEG, HET Opitz-Kaveggia syndrome Lujan (Lujan-Fryns) syndrome + - +
NFIX AD/de novo Exact neuronal phenotype not well-understood - Malan syndrome + - +
SETD2 AD/ de novo Exact neuronal phenotype not well-understood Likely complex Luscan-Lumish syndrome +/- - +
RAS-MAPK NF1 AD/ de novo RAS-MAPK mediated effects on brain development (pleitropic) VMEG, UBOs on T2 imaging, CC abnormalities Neurofibromatosis type I - + (Optic gliomas) -
SPRED1 AD/ de novo - Legius syndrome - - -
HRAS AD/ de novo CBTH, VMEG/ HYD Costello syndrome + Short stature + -
BRAF, MAP2K1, MAP2K2, KRAS AD/ de novo CBTH, VMEG/HYD, cortical atrophy, MCDs Cardiofaciocutaneous syndrome + Short stature - -
PTPN11, SOS1, RAF1, KRAS, BRAF, SHOC2, NRAS, MAP2K1 AD/ de novo CBTH, VMEG/HYD Noonan syndrome + Short stature - -
RIN2 AR - Macrocephaly-alopecia-cutis laxa-scoliosis (MACS) syndrome + Short stature - -
RAB39 XL - XLID, ASD, epilepsy - - +
RTKs FGFR3 AR Abnormal neuronal proliferation and apoptosis of cortical progenitors HYD, cervico-medullary compression, MCDs, other Achondroplasia Thanatophoric dysplasia + Multiple skeletal anomalies - -
ROR2 AR Abnormal neuronal sternness MCDs Robinow syndrome + Short stature - -
NOTCH GPC3 X-linked Abnormal cell growth and proliferation, exact neuronal phenotype not well-understood HYD, cerebellar tonsillar herniation, CC abnormalities Simpson Golabi Behmel syndrome I + + (Embryonal tumors, Wilms tumor)
NOTCH2NL*** AD/ de novo Delayed neuronal differentiation - 1q21.1 microduplication syndrome - - -
SHH PTCH1 AD/ de novo Abnormal neuronal proliferation and organization Calcifications (>90%) Nevoid basal cell carcinoma syndrome - +(PNET) -
KIF7 AR Abnormal neuronal proliferation and organization CC abnormalities (ACC) Acrocallosal syndrome + Growth retardation - +
GLI3 AD/ de novo Abnormal neuronal proliferation CC abnormalities (ACC) Greig cephalosyndactyly - - -
Cilia structure and function OFD1 X-linked Abnormal ciliary function in proliferating sells VMEG Simpson Golabi Behmel syndrome II + - -
RTTN AR Abnormal centriole formation Decreased brain volume, SIMP, cortical dysplasia, callosal, cerebellar abnormalities Microcephaly, short stature, and poly-microgyria with seizures + - +
JAK-STAT BRWD3 X-linked Abnormal cell morphology and cytoskeletal organization - XLID - - -
Abbreviations:
ACC, agenesis of the corpus callosum; AD, autosomal dominant; AR, autosomal recessive; ASD, autism spectrum disorders; BPP, bilateral frontoparietal polymicrogyria; CBTH, cerebellar tonsillar herniation; CC, corpus callosum; FCD, focal cortical dysplasia; HET, heterotopia; HMEG, hemimegalencephaly; HYD, hydrocephalus; MCDs, malformations of cortical development; MCPH, primary microcephaly genes 1-23; MEG, megalencephaly; MGORS, Meier-Gorlin syndrome 1-7; MIC, microcephaly; MOPD, microcephalic osteodysplastic primordial dwarfism; PMG, polymicrogyria; RTKs, receptor tyrosine kinases; SCID; Severe Combined Immunodeficiency; SIMP, simplified gyral pattern; UBOs, unidentified bright objects on brain MRI; VMEG, ventriculomegaly; WM, white matter; XAX, extra-axial space; XLID, X-linked intellectual disability.
Notes:
* Cancer predisposition specifically refers to germline (constitutional) cancer risk
** MIC-/MEG-associated mutations in these genes have been reported in one or few families, to date.
*** Reciprocal deletions/duplications of these gene loci are associated with MIC or MEG and include the following genes: AKT3 (1q43.q44; del MIC, dup MEG); NOTCH2NL (1q21.1; del MIC, dup MEG), MYCN (2p.24.3; del MIC, dup MEG); NSD1 (5q35.3; del MEG, dup MIC). Other MIC-MEG loci include 10q22q23 (del MEG, dup MIC) and 16p11.2 (dup MIC, dup MEG) with no MIC/MEG candidate genes identified, to our knowledge.

Microcephaly

Definition, clinical classifications, and clinical features

Microcephaly (MIC) is classically defined as a head circumference more than two standard deviations (SD) below the mean for age and sex. However, most experts define clinically significant (ie, diagnostically useful) MIC as 3 SD or more below the mean, as many children with a head OFC between 2-3 SD are developmentally normal.19,21,22 About 15% of children referred to child neurologists for evaluation of developmental disabilities have MIC, which is often associated with comorbidities such as epilepsy, autism, and other birth defects.19 Genetic and non-genetic factors can cause an abnormally small brain size. Genetic causes including a rapidly growing list of single gene disorders, copy number abnormalities (ie, deletions/duplications), and large chromosomal rearrangements (eg, triosomies) (Figure 1, Table I). Non-genetic or environmental insults include in utero or congenital infections (eg, congenital Zika virus, cytomegalovirus, and herpes simple virus, among others), teratogenic exposures (eg, alcohol, drugs such as hydantoin or aminopterin) and vascular insults (eg, placental insufficiency).19 However, knowledge regarding the underlying causes of MIC remains limited in scope, and the diagnostic and therapeutic approaches for children with MIC are not uniform, as highlighted by the Zika virus epidemic in 2015-2016.1,2,5,6

A confusing number of terms have been used to clinically classify MIC including “primary microcephaly” which refers to early-onset (ie, typically congenital) MIC with no other syndromic features including (classically) no additional brain abnormalities besides a simplified cortical gyral pattern.22 “Autosomal recessive primary MIC” (or MCPH) was a clinical diagnostic term used for the earliest familial reports and loci of MIC, later defined by several key features including (a) severe congenital MIC (OFC ≤4 SD below the mean at birth), (b) ID in the absence of more severe neurological problems including spasticity, seizures or developmental regression and (c) absence of other syndromic features including body growth abnormalities or additional brain malformations.23-25 To date, mutations in 23 genes have been identified as causative of primary microcephaly (Table I). However, the remarkable emerging genetic and clinical heterogeneity of MIC syndromes has challenged traditional classifications and uncovered a wide range of syndromes in which individuals can have overlapping features including brain size abnormalities, body growth abnormalities and complex malformations of cortical development.26,27 Indeed, mutations of the same genes have now been identified in expanding spectra involving these features. Examples include MIC and cancer phenotypes due to mutations in DNA Damage Response genes, such as Nijmegan Breakage syndrome, and isolated MIC and Microcephalic Osteodysplastic Primordial Dwarfism (MOPD) phenotypes due to centrosomal defects.26

When the brain is small, the most common abnormality identified on brain imaging (typically magnetic resonance imaging, MRI) is a simplified cortical gyral pattern that is typically diffuse but can disproportionately affect the frontal lobes (ie, microcephaly with a simplified gyral pattern).28 By definition, this is the most common brain MRI abnormality identified in children with most forms of MIC. However, additional brain abnormalities can co-occur with MIC, partly depending on the underlying etiology, including cortical malformations such pachygyria, polymicrogyria, dysgyria (eg, due to mutations of the tubulin genes), callosal abnormalities (including most notably a small or thin corpus callosum), as well as abnormalities of the cerebellum, brainstem, basal ganglia, white matter among others.28 Therefore, thorough examination of neuroimaging features associated with MIC is often diagnostically very helpful, as shown in Table I.

Genes and pathways underlying human MIC

In examining the large body of literature on genes and pathways underlying human—particularly congenital—MIC, several important functional classes of defects can be clearly discerned.26 The earliest identified MIC-associated genes and loci were critical centrosomal and cell cycle defects that continue to account for the largest fraction of MIC molecular diagnoses worldwide. These include centrosome-specific proteins (eg, CEP135, CENPJ, PCNT, MCHP1), spindle-associated proteins (eg, ASPM, WDR62) and, less commonly, kinetochore associated defects (eg, CENPE). By far, mutations in the majority of these genes are inherited in an autosomal recessive fashion and are, therefore, more widely seen in in-bred or consanguineous populations.29 Mutations of the ASPM (Abnormal Spindle Microtubule Assembly) gene alone are estimated to account for 10%-40% of the causes of autosomal recessive congenital MIC (or MCPH).30 Mutations of this broad class of genes have been well-documented to cause a wide range of cell cycle defects including abnormal centrosome structure and function, abnormal spindle-kinetochore assembly, and abnormal microtubule structure and function.26 More recently, mutations of a critical class of microtubule-associated genes including those belonging to the tubulin family (eg, TUBA1A, TUBB2B, TUBG1, TBCD, among many others) and the kinesin protein (eg, KIF11, KIF14) have been identified to cause complex MIC syndromes characterized by a wide range of brain malformations including cortical malformations, callosal abnormalities, and dysgenesis of the brainstem, basal ganglia, and thaiami, with wide variability among affected individuals.31,32 In contrast to the most common centrosomal defects underlying MIC, mutations of these genes are typically de novo, with consequently a low-recurrence risk.32

The second-largest group of human functional defects associated with MIC is defects in the DNA Damage Response (DDR) pathway. The DDR is a signaling cascade critical for repairing DNA strand repairs due to endogenous and exogenous insults. The large number of associated mutations, genes, and syndromes known to be associated with congenital MIC that are related to DDR and centriole/spindle organization support the fundamental roles these pathways play in neuronal development and genomic stability.33,34 The intimate relationship between these pathways and cancer is further supported by the association of many of these MIC-associated genes with cancer phenotypes in humans, as occurs with mutations in NBN, NHEJ1, XRCC2, XRCC4 among many others, for example.35 Collectively, the overwhelming majority of genes associated with congenital MIC are critical nodes in very early stages of neuronal development and have yielded substantial insights into their fundamental roles.36 In contrast, acquired causes of MIC, such as Zika virus (ZIKV) related MIC, for example, appear to typically affect later stages of neuronal progenitors, inducing apoptosis and defects of differentiation rather than severe neuroproliferative defects, although the mechanisms of ZIKV-related MIC continues to be under intense study.37-39

Megalencephaly

Definition, clinical classifications and clinical features

From DeMyer's work, MEG or “large brain” has been defined as an oversized and overweight brain that exceeds the mean by two SD for age and gender, consistent with standard medical practice which uses a normal range of ±2 SD for growth parameters.40 Similar to MIC, clinically significant MEG is now defined as 3 or more SD above the mean, as most individuals with mildly large head size (+2-3 SD) have been found to have normal development.40 The largest documented brain sizes in human reach more than 10 SD above the mean, reported more recently in individuals with mutations of the phosphatidyl inositol 3-kinase (PI3K)-AKT-MTOR pathway including AKT3.41 Abnormalities of brain size can occur early on during fetal development and manifest at or shortly after birth (ie, congenital MEG), or evolve more slowly during infancy and early childhood (ie, postnatal MEG).26 Clinically significant MEG has been classified into anatomic and metabolic subtypes, a classification scheme first proposed by DeMyer that continues to be of clinical use as these two large MEG groups differ substantially in their underlying genetic causes, pathomechanisms, clinical features and medical management.40 Metabolic (or neurometabolic) syndromes associated with MEG include a wide range of disorders characterized by abnormal accumulation of metabolic substrates, typically associated with consequent neuronal hypertrophy with ballooning of the cytoplasm, and fundamentally less cellular hyperplasia.40,42 Anatomic MEG includes a wide range of disorders characterized by a multitude of cellular defects including increased cell size and/or number.

From the early literature, brain overgrowth has been proposed to occur in several distinct “non-syndromic” clinical forms. The earliest is familial MEG (also termed “idiopathic MEG”) that has been reported and proposed to be the most common form of MEG seen in children.40 Individuals with this clinical “entity” classically had mild MEG (OFC +2-3 SD above the mean) with familial recurrence reported in up to 50% of children in large series.43-46 Importantly, a subset of these children with familial MEG had neurodevelopmental problems including epilepsy and tone abnormalities, suggesting that brain overgrowth, even if presenting as an isolated feature, can be associated with neurological consequences.45,47-49 Further, neuroimaging on many children with this reported MEG subtype identified ventriculomegaly, enlarged extra-axial spaces, or hydrocephalus requiring shunting, overlapping with syndromic forms of MEG (such as the PI3K-AKT-MTOR related MEG syndromes) and suggesting a more complex process underlying head overgrowth that may involve both brain overgrowth and cerebrospinal fluid expansion causing hydrocephalus.47,49-51

MEG has also been reported as a very common clinical feature in children with autism spectrum disorders (ASD), with several studies suggesting that it is the most common physical manifestation seen in ASD.52 Mutations of the PTEN gene have been identified in ~10% to 20% of megalencephalic children with ASD, which has led to the delineation of the “macrocephaly-autism syndrome” as a subtype of the PTEN-hamartoma tumor related disorders.53-56 However, wider scale genomic testing has now identified mutations of many other genes associated with MEG-ASD as well, including most notably MTOR, PPP2R5D, CHD8, among others, strongly suggesting that the etiologies of MEG and ASD are much more genetically heterogeneous but likely linked to some of the same critical cellular pathways.57

Genes and pathways underlying human MEG

Disorders causing an abnormally large brain size (ie, true MEG) most often occur as a result of a genetic insult that may cause isolated brain overgrowth (eg, PTEN related hamartoma tumor syndrome) or combined brain and body overgrowth as part of a generalized overgrowth disorder (eg, Sotos syndrome, PIK3CA related overgrowth disorders).58,59 Most of these disorders are caused by defects of single genes, although a growing number of copy number abnormalities have also been identified in overgrowth syndromes (Table I). Mutations of key nodes in several signaling pathways regulating cellular growth and proliferation cause a wide range of human brain overgrowth disorders including the PI3K-AKT-MTOR, RAS-MAPK-ERK pathways, among others.60-63 Importantly, a growing number of human overgrowth disorders are caused by mutations in epigenetic regulators such as NSD1, EZH2, DNTM3A, among others.64 A broad overview of the involved genes and pathways highlights that most of these are within critical intermediary signaling pathways that are highly pleiotropic in function and, unlike MIC, the cellular effects of these pathway perturbations on neuronal development are not as well-understood (Figure 1).

The most common genetic defects causing human MEG localize to the PI3K-AKT-MTOR pathway. Proper MTOR signaling is critical in key aspects of brain development including neuronal progenitor maintenance, differentiation, migration, synaptogenesis, and regulating protein translation.65-68 Therefore, mutations of different nodes causing functional upregulation of this pathway are associated with a wide range of neurodevelopmental phenotypes including MEG, ID, ASD, and epilepsy in humans and animal models. These nodes include a growing number of genes located upstream (PIK3CA, PIK3R2, PTEN), midstream (AKT3) and downstream (TSC1, TSC2, MTOR, CCND2, TBC1D7, RHEB, and STRADA) within the pathway.69 Besides diffuse brain overgrowth (MEG), a growing number of mosaic (postzygotic) mutations of this pathway are associated with focal malformations of cortical development with intractable epilepsy, including focal cortical dysplasia (FCD), hemimegalencephaly (HMEG) and dysplastic megalencephaly (DMEG).70-72 The functional endpoint of all mutations associated with diffuse or focal MEG phenotypes is pathway hyperactivation. The proposed mechanisms by which PI3K-AKT-MTOR pathway mutations are believed to cause brain overgrowth include neuronal hypertrophy (eg, PTEN- and MTOR- related brain overgrowth), and increased neuronal proliferation (eg, CCND2- related brain overgrowth).73-76 Specifically, mutations of the AKT3 gene have been associated with most severe MEG, and further shown to have very strong associations with increased intracranial volume (ICV) in a large meta-analysis of reactome gene sets in relationship to brain size, along with other MTOR pathway genes.41,69

Recently, mutations of a new family of genes—the PP2A phosphatase family including specifically PPP2R5D—have been identified in children with congenital onset MEG, autism, and hypotonia. This class of phosphatases is believed to have a negative regulatory effect on the PI3K-AKT-MTOR pathway. Therefore, PI3K-AKT-MTOR dysregulation is believed to underlie the brain overgrowth of PPP2R5D-related disorders as well.77-79 Finally, abnormalities of the evolutionarily-conserved partitioning defective protein complex, including PARD3, PARD6, and atypical protein kinase C (aPKC), that regulate asymmetric cell division of Radial Glial Progenitors (RGPs) have been proposed as a mechanism underlying MEG and heterotopia in humans.80,81 However, no mutations of these genes have been identified in human MEG, to date. A comprehensive review of additional genes associated with human MEG are further provided in Table I.

Proposed diagnostic workflow for microcephaly to megalencephaly

Given the causal heterogeneity of MIC and MEG, and based on our broad review of the literature, we propose the following clinical diagnostic workflow for pediatric-onset MIC and MEG. For any individual presenting with an abnormally small or large brain size, a careful assessment of the individual's growth (including stature and weight) are crucial as this will help delineate whether brain growth abnormalities are isolated or due to more generalized growth disorders (eg, MOPD disorders with MIC, somatic overgrowth disorders with MEG). Further, assessment of the brain magnetic resonance imaging is extremely valuable as many MIC-MEG syndromes are associated with other developmental brain disorders that can be clinically delineated by good quality imaging, such as mutations of the tubulin genes (TUBA1A, TUBB2B, TUBG1, among many others, for example).

Microcephaly

Among the most clinically useful distinguishing features of MIC is its' age of onset (ie, congenital vs postnatal). Congenital MIC, if isolated (ie, not associated with any other major structural anomalies) is typically autosomal recessive in nature (also known as Primary MIC or MCPH) caused by mutations in cell cycle genes such as ASPM most notably, among others. Congenital MIC in association with other structural defects is most often syndromic and likely extremely genetically heterogeneous. Therefore, etiologies falling under this category include microdeletion or microduplication syndromes that can be identified by chromosomal microarrays, or a growing number of single gene disorders, many of which can be delineated based on their associated key clinical features. If clinical delineation is not possible, then consideration for wide-scale genomic testing (eg, exome sequencing) is recommended. It is important to remember the non-genetic causes of congenital MIC including congenital viral infections, vascular insults or injuries and environmental exposures (eg, fetal alcohol syndrome). Postnatal MIC, on the other hand, is extremely genetically heterogeneous, as MIC occurs as a secondary features in numerous neurodevelopmental syndromes characterized by epilepsy, ID and ASD; many of which are caused by de novo mutations. Therefore, clinical delineation of the specific syndrome is recommended. If a specific syndrome is not identified based on the history and physical examination, then consideration of wide scale genomic testing (eg, exome sequencing) is similarly recommended. Detailed recommendations for clinical evaluations of children with MIC have been previously published.19

Megalencephaly

Similar to MIC, careful review of overall body growth measurements, in conjunction with a detailed neurological examination and/or brain imaging, are very useful in evaluating a child with MEG. Importantly, when a child presents with a large head size, it is imperative to rule out other important causes of macrocephaly such as hydrocephalus or progressive ventriculomegaly. True and isolated brain overgrowth — MEG — is seen most commonly with single gene disorders, most notably PI3K-AKT-MTOR pathway related disorders.59,72 Given the likelihood of low-frequency postzygotic (mosaic) mutations in MEG disorders, careful selection of molecular diagnostic approaches needs to be made using a method that generates good quality, high depth data (eg, ultra deep targeted capture). Syndromic forms of MEG require a consideration of microdeletion-microduplication syndromes (using chromosomal arrays), followed by careful and thorough clinical assessments to delineate specific overgrowth syndromes. In the presence of diffuse MEG with multiple other congenital anomalies, exome sequencing may be utilized to efficiently and rapidly identify the underlying genetic etiology, given the emerging genetic heterogeneity of MEG.58 In spite of wider integration of high-quality and high-depth NGS methods in clinical practice, the genetic causes of a substantial fraction of MEG in children remain unidentified, suggesting the involvement of other genes/loci and/or low-level mosaicism challenging detection using standard molecular methods.69

Summary

A review of the microcephaly and megalencephaly disorders in humans highlights the remarkable genetic heterogeneity of these disorders, mutations of which perturb key cellular processes with disruption of various neurodevelopmental stages. There is a strong need for updated classifications of these disorders based on molecular pathways or underlying mechanisms rather than descriptive clinical parameters that may be outdated and in need of refinement, particularly in light of rapidly emerging molecular data. Most MIC—and MEG—associated pathways are critical cell signaling pathways that regulate cellular growth, proliferation, with strong overlap with cancer pathways, the aberrations of which cause complex syndromes where neurodevelopmental features and cancer phenotypes overlap (eg, DDR-associated disorders with MIC, and PI3K-AKT-MTOR related disorders with MEG). With the ever-increasing use of NGS methods in clinical molecular practice, the genetic heterogeneity of these disorders is only expected to increase, with the very strong likelihood of uncovering low frequency mosaic mutations in MEG and related disorders including focal malformations of cortical development. These genetic insights will likely shed light on more fundamental mechanisms underlying MIC and MEG that may require validation ideally using high throughput in in vivo and in vitro systems. Ultimately, MIC-MEG disorders are collectively not that rare and have substantially informed biological mechanisms underlying normal brain growth and development in humans.

Acknowledgments

We thank our patients, their families, and providers for their contribution and support of our ongoing research on developmental brain disorders. We also thank Joshua Scheck (Center for Integrative Brain Research, Seattle Children's Research Institute, Seattle, WA) for his assistance with this manuscript. Research reported in this publication was supported by the National Institute of Neurological Disorders and Stroke (NINDS) under award number K08NS092898 and Jordan's Guardian Angels (to G.M.M), and NIH grants R21 OD023838 and R24 HD000836, the Keck Foundation, and the Seattle Children's Foundation (to B.R.N). The content is solely the responsibility of the authors, and does not necessarily represent the official views of the National Institutes of Health. The funding sources had no role in the design and conduct of the study, collection, management, analysis and interpretation of the data, preparation, review or approval of the manuscript, or decision to submit the manuscript for publication. The authors report no conflict of interest.

Contributor Information

Filomena Pirozzi, Center for Integrative Brain Research, Seattle Children's Research Institute, Seattle, Washington, USA.

Branden Nelson, Center for Integrative Brain Research, Seattle Children's Research Institute, Seattle, Washington, USA.

Ghayda Mirzaa, Center for Integrative Brain Research, Seattle Children's Research Institute, Seattle, Washington, USA; Division of Genetic Medicine, Department of Pediatrics, University of Washington, Seattle, Washington, USA.

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