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A task requiring restoration of omitted text elements. The amount of surrounding context and the response format determine whether local word knowledge, grammar or wider discourse integration is needed.

Language expressed or understood through speech. Phonology, vocabulary, grammar and discourse are distinct dimensions, and listening and speaking impose different task demands.

Children detect distributional structure at several levels: variation within speech sounds, sequential relations that help identify word-sized units, dependencies across intervening words, and word–referent co-occurrences across scenes. These findings challenge the claim that language is acquired without powerful learning from experience. They do not, by themselves, show that linguistic representations, perceptual constraints or specialised learning biases are dispensable. A learning algorithm and the representations over which it operates are different parts of an explanation.

At the phonetic level, Jessica Maye and colleagues familiarised six- and eight-month-olds with tokens from a speech-sound continuum. Exposure concentrated near one region or around two regions, creating unimodal versus bimodal frequency distributions. Only the bimodally exposed group subsequently discriminated the tested endpoints. Holding the range of speech sounds while changing their frequency profile gives a causal manipulation of distributional input, supporting a mechanism through which experience could tune phonetic categories. Endpoint discrimination is still not equivalent to acquiring the full phoneme inventory of a natural language, and infants' prior perceptual organisation constrains what distributions are available to learn.^[ref]

At the word-boundary level, Jenny R. Saffran and colleagues exposed eight-month-olds for two minutes to a continuous artificial speech stream with repeated trisyllabic units but no pauses marking their boundaries. A head-turn preference procedure then measured responses to familiar units and comparison sequences. Infants differentiated units supported by the stream's sequential regularities. The arrangement matters: after a central light attracted attention, a side light and loudspeaker supported a controlled measure of how long the infant maintained orientation. Masking sound for the accompanying adult and observer reduced inadvertent cueing. This made a nonverbal test of sequence learning possible well before children could explain a segmentation strategy.^[ref]

The relevant statistic can be expressed as the conditional probability $P(s_{t+1}\mid s_t)$ of the next syllable given the current one. High predictability within a recurring unit and lower predictability across units can supply boundary information. This is a candidate computation, not a claim that infants explicitly calculate numerical fractions. Association strength, chunk formation or predictive processing can produce related behavioural discrimination, and a preference test alone may not identify which algorithm was used. Recognition of a recurrent sound sequence also does not yet make it a meaningful word.

Rebecca L. Gómez extended learning beyond adjacent pairs. Adults and eighteen-month-olds heard three-element artificial-language strings whose first and last elements were related while the middle element varied. Adjacent dependencies were matched between the languages; the discriminating information lay in the nonadjacent relation. Greater variability in the middle position helped reveal the invariant outer relation. This shows that variability can improve learning rather than merely introducing noise, and that distributional sensitivity can extend over an intervening element. It remains a constrained sequence-learning result, not a demonstration that infants have induced hierarchical syntax or every long-distance dependency of natural grammar.^[ref]

At the lexical–semantic interface, Linda B. Smith and Chen Yu presented twelve- and fourteen-month-olds with ambiguous picture–word situations. A single encounter contained two objects and two words, so it did not uniquely specify which word referred to which object. Across encounters, the correct word–object pairings recurred more consistently. At test, a spoken label elicited greater looking to its associated target than to a distractor. Accumulating evidence across individually ambiguous scenes therefore supports learning several mappings without a uniquely informative naming event on each trial. The result does not show whether each infant maintained competing associations or tested a single candidate hypothesis, and the controlled visual scenes simplify the attentional problem of everyday word learning.^[ref]

These levels address different uncertainty problems. A distribution over acoustic tokens can alter discriminability; a sequence distribution can identify recurring units; nonadjacent relations can support dependency learning; cross-situational co-occurrence can link forms to referents. None entails that the others are solved automatically. To explain a natural language, an account must specify how learners select relevant features, integrate conflicting cues, remember the necessary history and move from surface regularities to productive representations. Successful learning of a small artificial input establishes capacity under those conditions, not that the available natural input necessarily suffices for every proposed grammatical generalisation.

Evidence against exclusive linguistic specialisation comes from transfer of the statistical problem to nonlinguistic materials. In a 1999 study, Saffran and colleagues arranged tones into continuous streams with analogous boundary structure. Eight-month-olds and adults segmented those streams using their regularities. Thus the relevant capacity is not restricted to syllables. This supports a domain-general contribution but does not prove identical neural implementation, equal learnability for every stimulus class or the absence of specialisation elsewhere in language.^[ref]

The strongest version of an encapsulated linguistic module, if it claims that such acquisition cannot exploit general sequence learning, must accommodate this evidence or be revised. A weaker linguistic toolkit can remain compatible with it. Constraints on representations, attention to particular acoustic dimensions, biases about possible dependencies and socially guided selection of referents can determine the input on which an otherwise general learner operates. Experience can also produce increasing specialisation, so a specialised mature system does not entail a fully specified innate one. Conversely, learning some regularities early does not demonstrate a blank slate: a learner needs a perceptual space, memory and inductive assumptions before any frequency can be counted.

To distinguish these accounts, studies should compare linguistic and carefully matched nonlinguistic materials, separate frequency from conditional predictability, test generalisation to new items, and establish which cues children actually exploit in less constrained settings. A model that fits a familiarisation preference but cannot learn or generalise beyond that particular stream has not explained language acquisition. Evidence of reliable cross-domain learning constrains claims of exclusivity; evidence for selective biases constrains an unrestricted domain-general model. By 2022, the warranted position was to retain distributional learning as a demonstrated part of the toolkit while treating the scope, representational format and degree of specialisation as empirical questions.

Reading comprehension is measurable as performance on specified tasks and as a theoretically organised construct, but it is not a context-free quantity revealed equally well by every test. A score reflects a reader, a text, a question and an assessment format. The important question is whether the intended interpretation is supported: screening for difficulty, explaining an individual profile and evaluating an intervention can require different measurements.

A useful framework is the simple view of reading, which distinguishes decoding from linguistic comprehension. Wesley A. Hoover and Philip B. Gough tested predictions from a product relation in a longitudinal bilingual sample. The model captures the idea that understanding spoken language cannot compensate for completely inaccessible print, while accurate word reading alone cannot supply the meanings of the words. It does not imply that all raw test scores can simply be multiplied, or that each broad component is psychologically indivisible.^[ref]

For an illustration, suppose decoding $D$ and linguistic comprehension $C$ are represented on idealised scales from zero to one and $R=DC$. Profiles $(D,C)=(0.3,0.9)$ and $(0.9,0.3)$ both give $R=0.27$. The same comprehension outcome can therefore arise from different bottlenecks. These are hypothetical model values, not diagnostic cutoffs or observations about children. The distinction motivates measuring component skills rather than assigning one intervention from an aggregate score alone.

Direct comparisons show that tests are not interchangeable. Janice M. Keenan and colleagues compared five reading comprehension measures. Decoding explained more variation in the PIAT and Woodcock–Johnson passage task, whereas listening comprehension contributed more strongly to the Gray Oral Reading Test and the two Qualitative Reading Inventory measures. The demands of some tests also changed with developmental level. Modest agreement therefore need not mean that comprehension is unreal: it can reveal different mixtures of processes and content, alongside measurement error.^[ref]

Assessment design determines what evidence is available. A short cloze item may be solved through local word knowledge and decoding, while questions about a passage can require integrating information across sentences. Retelling additionally requires organising and producing an answer. Removing the text increases memory demands; keeping it visible permits rereading and strategic search. Oral answers may expose expressive-language difficulties that a recognition format does not. None is automatically superior: the format must match the intended inference.

Reliability and validity are distinct. Repeated passages and sufficiently sampled items can improve precision, but a highly consistent score can still overemphasise decoding when the goal is discourse understanding. Convergence across texts and formats strengthens a construct interpretation; disagreement can identify task-specific demands. Measurement invariance matters when comparing ages or groups, because the same item format can depend on different skills as word recognition improves. A change in a standard score is not automatically an equal change in the underlying process at every age.

The first pressure point is efficient access to printed words. Slow or inaccurate decoding limits which propositions become available and can consume resources needed for integration. Assessment should distinguish familiar-word accuracy, unfamiliar-word decoding and fluency rather than assume that one word-reading score captures all three. A reader can identify isolated words accurately yet struggle to coordinate them in connected text.

The second pressure point is linguistic knowledge. Vocabulary breadth and depth determine whether word meanings are accessible and appropriate to context; grammar helps assign relations between entities and events. A text can be decoded accurately while remaining opaque because its meanings or sentence structures are unfamiliar. Background knowledge can support interpretation, but can also produce confident answers unsupported by the passage. Text selection should therefore vary topics rather than make one knowledge domain stand for general comprehension.

Higher-level processes provide further pressure points: generating necessary inferences, building a coherent representation, identifying relevant information and noticing inconsistencies. Kate Cain and colleagues assessed children at eight, nine and eleven and related comprehension to working memory and component skills. The study supports a multicomponent analysis, while its concurrent prediction models do not establish that training any correlated component will improve reading. Working memory demands are also partly determined by the text and response format.^[ref]

A useful assessment combines a comprehension measure with listening comprehension, vocabulary, grammar, decoding and fluency, then investigates the child's actual errors. Can they explain a referent, connect two statements or notice a contradiction when word-reading demands are reduced? Contrasting written and spoken versions can test a proposed bottleneck, although listening itself has memory and attention demands. A profile is a hypothesis about performance, not proof of a separate disorder or a unique cause.

Intervention supplies complementary evidence. Paula J. Clarke and colleagues randomised children with accurate reading but poor comprehension to text-focused, oral language, combined or untreated conditions. Comprehension improved in the intervention groups, with continued gains after oral language training. This demonstrates that difficulties can be modified through more than word decoding, but an improvement in a package does not isolate one underlying process. Maintenance, untrained texts and independent assessment are important when distinguishing learning the assessment from broader transfer.^[ref]

The defensible conclusion is that comprehension is a measurable but task-dependent achievement supported by interacting skills. Its pressure points can lie in print access, language knowledge, integration, inference or monitoring, and their relative importance changes with the reader and text. Good measurement makes those dependencies explicit and samples enough situations to support the intended decision, rather than treating a single score as a complete explanation of failure.

Longitudinal data are critical for several developmental questions because they show whether an earlier characteristic precedes later reading, how individuals change and whether apparently similar outcomes have different histories. They are not sufficient to identify causes, and they are not the only informative evidence. The strongest understanding combines repeated observation with experiments, intervention and explicit models of measurement and development.

A cross-sectional age comparison confounds age with cohort, instruction and selection. Older and younger children may have received different teaching or differ in who remains in a sample. Following the same children can establish continuity and change, show whether an early weakness persists, and locate periods when a skill becomes more predictive. It also permits assessment before conventional reading instruction, reducing the risk of describing a consequence of reading experience as its original cause.

Valerie Muter and colleagues followed ninety school entrants over two years. Earlier letter knowledge and phoneme sensitivity predicted word recognition, whereas comprehension drew on word recognition, vocabulary and grammar. The temporally ordered pattern supports distinguishing developmental pathways rather than using a single readiness score. It does not prove that a predictor is sufficient, immutable or uniquely causal: teaching, family experience and other correlated skills may contribute to both the early measure and later outcome.^[ref]

Developmental relations can change as constraints shift. When decoding is effortful, individual differences in print access may dominate a comprehension measure; later, oral language differences can become more visible. In Arne Lervåg and colleagues' five-year study beginning at about seven and a half, shared variation across vocabulary, grammar, verbal working memory and inference predicted listening and reading comprehension. Their modelling included interactions and nonlinearities. This shows why a fixed linear contribution estimated at one age may not describe the developmental process.^[ref]

Repeated observation can distinguish trajectories concealed by an endpoint. Two children with similar reading at nine may differ because one began with weak decoding and improved, while another decoded adequately but developed a widening comprehension difficulty as texts became linguistically demanding. These histories generate different hypotheses about support and assessment. Conversely, using the later outcome to define groups can bias retrospective descriptions of their predictors, especially when classifications depend on noisy scores.

Longitudinal data are also needed to investigate reciprocal influence. Oral language knowledge can facilitate reading, while reading supplies new words and makes phonological structure more explicit. A path from an earlier reading score to later vocabulary is compatible with feedback, but it can also reflect stable differences in home experience or language ability. A conventional cross-lagged model may mix between-child differences with within-child change. Temporal ordering and statistical adjustment constrain explanations without automatically identifying the effect of changing a particular child's experience.

The home-literacy study by Monique Sénéchal and Jo-Anne LeFevre illustrates both the value and limits. Their five-year sample linked book exposure with language outcomes and direct parental teaching with early literacy, followed by later reading. Measuring activities and skills at different stages helps specify candidate routes that a single concurrent correlation would conceal. The observational design and relatively advantaged sample, however, do not establish that prescribing the measured activity would reproduce the association across all families.^[ref]

Several methodological conditions are essential. The measures must remain interpretable across time: replacing an easy early task with a harder later one can be sensible, but common anchors or defensible latent models are needed for growth comparisons. Ceiling and floor effects can create apparent changes in prediction. A reliable group-average effect does not guarantee reliable ranking of individuals. Multiple measures can reduce task impurity, although a fitted latent factor still depends on its indicator and model assumptions.

Attrition can distort a trajectory if children with greater difficulty or disadvantage are less likely to remain. Recruitment and retention should be reported alongside the handling of missing observations. Statistical methods cannot recover information without assumptions, so sensitivity analyses should examine plausible departures from them. More waves do not automatically solve this problem, and closely spaced assessments can introduce practice effects while widely spaced assessments miss the timing of change.

Intervention provides additional causal leverage. Peter J. Hatcher and colleagues compared matched groups of seven-year-old poor readers receiving reading, phonological work, their integration or a control condition. Phonology-only work most improved the phonological tasks, while the integrated programme produced the greatest reading progress. This demonstrates why a longitudinal predictor cannot simply be translated into an isolated training prescription. The design supports the tested contrast, while allocation, contact and the content of each teaching package constrain finer causal claims.^[ref]

An informative future programme would begin before instruction, repeatedly measure oral language, phonological skills, letter knowledge, teaching and reading, and retain an inclusive range of children. Embedded randomisation could vary a specified teaching component while keeping adequate instruction available to everyone. Assess near-term target engagement, generalisation to untrained material and later comprehension. This combines developmental timing with an intervention contrast instead of treating observational paths as effects of manipulation.

Cross-linguistic and artificial orthography experiments can answer questions that a single natural cohort cannot. They can hold learning opportunities constant while changing the consistency or distribution of print-to-sound mappings. Longitudinal classroom studies then test whether the proposed process survives ordinary instruction and changing language demands. Agreement across methods is more persuasive than extending the duration of one observational design indefinitely.

Longitudinal data are therefore indispensable when the claim concerns ordering, change, persistence or reciprocal development. They are not a substitute for credible measurement or causal design. Their greatest contribution is to make developmental explanations more precise and testable, while experiments and interventions establish which changes in experience actually alter the path.

A meaningful distinction can be made between developmental language disorder and reading disorders, provided it is expressed as a distinction between dimensions and profiles rather than a claim that every child falls into one isolated biological category. Spoken-language difficulty and impaired word reading can occur separately or together. Their overlap is informative, and the definition of 'reading disorder' matters: dyslexia centred on word-level reading is not synonymous with every form of poor reading comprehension.

The CATALISE consensus endorsed developmental language disorder for persistent language difficulties associated with functional impairment and poor prognosis, without a known associated biomedical aetiology. Risk factors do not automatically exclude the diagnosis, and a verbal–nonverbal discrepancy is not required. This is a research and clinical terminology agreement, not an experiment proving a natural boundary. Earlier studies of specific language impairment used criteria that must be examined before their groups are equated with contemporary DLD.^[ref]

Dyslexia typically concerns persistent difficulties in accurate or fluent word reading and spelling. A child can have these difficulties while understanding spoken language relatively well. Another child can decode words adequately but struggle with vocabulary, grammar or discourse understanding, limiting comprehension in both spoken and written form. A third can have both profiles. The simple view of reading provides a useful two-dimensional description, while actual assessment must also consider fluency, instruction, language experience and the demands of the text.

Hugh W. Catts and colleagues tested the relation prospectively in a representative 527-child sample, comparing kindergarten language impairment with later dyslexia classifications. They found overlap but not identity. In a separate profile analysis, dyslexia was more closely associated with pronounced phonological-processing weaknesses, whereas language impairment without dyslexia showed milder phonological difficulties. The evidence supports distinguishable profiles, but depends on the diagnostic rules, measures and developmental occasions used.^[ref]

Margaret J. Snowling and colleagues followed a cohort enriched for familial reading risk or preschool language difficulty. At eight, they identified dyslexia-only, DLD-only and comorbid groups; comprehension was measured at eight and nine. All groups had difficulties relative to controls, but the dyslexia-only group's comprehension weakness was milder than that of the groups with DLD. This is consistent with different routes to a shared outcome. Comorbidity rates in an enriched sample should not be treated as population prevalence.^[ref]

The contrast between studies is itself useful. A representative cohort and a risk-enriched cohort can produce different overlap estimates without one necessarily invalidating the other. Selecting families with early language problems increases the chance of observing both difficulties. Restricting one group to normal decoding or oral language also creates cleaner profiles than may occur in routine assessment. Group definitions can therefore sharpen a theoretical contrast while understating the continuum of mixed presentations.

There are plausible shared and distinct developmental processes. Weak phonological representations or awareness can hinder learning letter–sound relations, while broader lexical, grammatical and discourse weaknesses affect understanding beyond word identification. These processes can covary because language systems interact and because experiences support several skills together. A phonological difficulty does not have to account for every aspect of DLD, and broader language risk does not guarantee dyslexia. A probabilistic multiple-risk account fits overlap more naturally than a necessary-and-sufficient deficit assigned to every child in a label.

Assessment should therefore specify the difficulty rather than infer it from the category. Include unfamiliar-word decoding, familiar-word accuracy and fluency, spelling, vocabulary, grammar, listening comprehension and discourse tasks. Nonword repetition and phoneme-awareness measures can contribute, but each has perceptual, memory, motor or metalinguistic demands. Hearing, opportunity to learn, multilingual experience and functional impact also require consideration. Low performance in the language of schooling is not, by itself, evidence of an intrinsic language disorder.

The distinction matters when choosing an intervention target. A child whose main barrier is acquiring written word forms needs teaching that addresses that barrier; accurate decoding cannot be assumed to resolve a broader comprehension weakness. Paula J. Clarke and colleagues' trial of children with specific comprehension difficulties showed benefit from oral language and text-focused interventions, beyond the children's existing accurate reading. It supports treating the identified language/comprehension problem, while not proving that a diagnostic label uniquely determines the best programme.^[ref]

The combined profile may require support on both dimensions. Improvement should be monitored separately for word reading, oral language and comprehension, because a gain in one can leave the other limiting performance. A programme's effect on a trained task is not enough: transfer to untrained passages and everyday educational participation are relevant outcomes. Categories can help communication and access to services, but should not prevent a child with mixed needs from receiving both forms of support.

A stronger test of separability would recruit children before reading instruction, use reliable repeated measures and examine profiles without selecting only extreme, nonoverlapping groups. Dimensional models can be compared with categorical models, and competing predictions preregistered. An intervention study could test whether targeted decoding and oral language components have different effects across baseline profiles, with adequate power for interactions. Mere significance in one group and nonsignificance in another would not establish a differential response.

The meaningful distinction is consequently between patterns of spoken-language and written-word difficulty, with implications for mechanisms, assessment and support. The evidence rejects a simple equation of DLD with dyslexia and also rejects treating reading comprehension failure as one homogeneous condition. It does not require sharp, immutable boundaries or deny shared risks, comorbidity and developmental change.

Oral language shapes written language development by supplying the phonological, lexical, grammatical and discourse knowledge that print must connect with. The influence is not unidirectional. Learning to read and write can make speech structure more explicit, expand vocabulary and alter the processing of spoken words. The strength and direction of a particular relation depend on age, writing system, instruction and the aspect of language being measured.

At the word level, alphabetic reading links graphemes with speech sounds and familiar spoken forms. Phonological awareness can help a child analyse a word and use letter–sound relations, but it is not identical to speech comprehension or to the ability to pronounce a word. A child may understand a spoken word without being able to segment its phonemes deliberately. Reading instruction and metalinguistic awareness can consequently develop together rather than one being wholly completed before the other starts.

Longitudinal evidence separates some routes. Valerie Muter and colleagues found that letter knowledge and phoneme sensitivity predicted early word recognition, while vocabulary and grammar contributed to comprehension alongside word recognition. The result supports a differentiated oral language foundation. It does not imply that vocabulary is irrelevant to every unfamiliar-word problem or that the observed predictors alone specify a complete teaching programme.^[ref]

For text comprehension, oral vocabulary supplies meanings and grammar supports interpretation of relations and reference. Inferencing and discourse knowledge connect information beyond a sentence. Listening comprehension offers a useful comparison when decoding is suspected to be the bottleneck, but it is not a demand-free measure of language. Speech unfolds over time and can tax attention and memory; written text can be reread. These differences should be considered before interpreting a written–spoken discrepancy as a pure decoding deficit.

Oral language also contributes to producing written language. Choosing words, constructing sentences and organising a narrative draw on language knowledge, while spelling and transcription add constraints. Julie E. Dockrell and colleagues followed 64 children with a history of language impairment, assessing them at eight and their written text at ten. The writing showed difficulties in sentence structure and organisation; concurrent vocabulary and reading helped explain variation. The associations support a broad profile, not proof that an isolated vocabulary treatment would resolve composition difficulties.^[ref]

Intervention gives stronger leverage on one direction. Paula J. Clarke and colleagues' oral language programme improved reading comprehension in children who could already read accurately, with gains extending beyond the intervention period. This supports oral language as a modifiable contributor, while the multicomponent programme and untreated comparator leave its precise ingredients partly open. An implication is that improving word recognition alone may leave a language-level limitation unresolved.^[ref]

Home experiences provide potentially different inputs. Monique Sénéchal and Jo-Anne LeFevre linked book exposure with vocabulary and listening comprehension, and direct parental teaching with early literacy in a five-year study. These routes help explain why 'home literacy' is not one uniform activity. The observational, relatively advantaged sample limits causal and population inference; shared reading can involve both spoken interaction and print exposure, making it difficult to assign its effects exclusively to either medium.^[ref]

Evidence for the reverse direction has a long history. José Morais and colleagues compared adults who remained illiterate with people who had learned to read in adulthood. The former had difficulty deliberately adding or deleting a speech phone, whereas adult readers performed the tasks more readily. The contrast suggests that explicit access to phonemic structure is not an automatic consequence of mature spoken language. Because literacy was not randomly assigned, schooling and selection remain alternative contributors; the result concerns metalinguistic performance rather than absence of ordinary speech perception.^[ref]

Written language also supplies new lexical knowledge. William E. Nagy and colleagues found small but reliable gains in knowledge of unfamiliar words encountered in natural text. Repeated reading can therefore contribute to vocabulary growth, rather than vocabulary always being an independent precursor. The amount learned from a passage depends on prior knowledge, context and assessment sensitivity, so tentative population extrapolations should not be confused with a guaranteed learning rate for every child.^[ref]

Neuroscience provides converging evidence of reorganisation. Stanislas Dehaene and colleagues compared adults with different literacy histories using fMRI responses to written and spoken material. Literacy was associated with changed visual responses to writing, stronger phonological responses to speech and activation of orthographic information from spoken input. The inclusion of adult learners shows that relevant differences are not restricted to childhood schooling, but the groups were not randomly assigned. The imaging does not by itself identify a unique instructional cause or show that larger activation is always better.^[ref]

The developmental relation can thus be recursive. Better language knowledge helps a child understand print; successful reading permits more independent encounters with words and structures; those encounters can support later oral language performance. Difficulty at either stage may restrict opportunities at the next. Such a loop is a hypothesis about mechanisms and experience, not a reason to assume that all observed growth differences are self-amplifying or irreversible.

A strong test would combine repeated measures before and after instruction with controlled changes to oral or written experience. One study could compare learning the same unfamiliar meanings through listening, independent reading or supported reading while matching content and exposure. Test both spoken understanding and written use after a delay, alongside decoding and prior vocabulary. Another could vary print support during phoneme instruction while assessing untrained speech-segmentation tasks. These designs can distinguish medium, content, instruction and transfer more clearly than a concurrent correlation.

Writing outcomes should remain part of that programme. Oral retelling, dictated composition and independent writing can help distinguish language formulation from spelling and transcription demands, though the tasks still differ in support and planning. Cross-language and multilingual studies can test whether reciprocity depends on script or experience rather than assuming that an English alphabetic result is universal.

Oral language is therefore a major foundation for reading and writing, but literacy is also an experience that reshapes language knowledge and access. The most useful account specifies the component and timescale in each direction. It treats experimental, longitudinal, intervention and imaging evidence as complementary constraints on a reciprocal developmental system.