“Until we answer that question about heterogeneity, which presupposes answering the specific question of specific etiology, especially how “specificity” is to be construed for a polygenic theory, we do not know whether two labels [or more] are needed, let alone to which patients they should be applied.” Meehl (Reference Meehl, Gottesman and Shields1972) (p. 382).
Among several key themes, the authors of the contributions to this special section of Development and Psychopathology were tasked to address heterogeneity. Core principles of developmental psychopathology such as equifinality and multifinality (Cicchetti & Rogosch, Reference Cicchetti and Rogosch1996) map onto each etiological and phenotypic heterogeneity, respectively. Here, we would like to highlight an additional source of variability that exists between causal pathophysiological instantiators and a phenotypic endpoint, and the conceptual consequences thereof. Temporal heterogeneity, a term borrowed from ecological theory (Dutilleul, Reference Dutilleul2011; Menge & Sutherland, Reference Menge and Sutherland1976) and not unrelated to the concept of chronogeneity (Georgiades, Bishop, & Frazier, Reference Georgiades, Bishop and Frazier2017), considered in the context of neurodevelopmental disorders, captures observed variability in developmental timing as it relates to pathogenesis. Temporal heterogeneity may represent a specific feature of phenotypic heterogeneity. It may also capture evolving patterns of environmental demands that temporally coincide and interact with changes in the developing organism (Lehrman, Reference Lehrman1953). By simply invoking the concept, however, we hope to illustrate a developmental frame, captured by many of the contributions in this special section, but less well appreciated in the broader autism field. Implicit to this framework is an expectation that it is unlikely that a given phenotypic profile will remain stable and persistent, or static over time (Karmiloff-Smith, Reference Karmiloff-Smith1998).
As conceptualized for psychiatric disorders (Insel & Cuthbert, Reference Insel and Cuthbert2015) and autism specifically (Geschwind & State, Reference Geschwind and State2015; Loth, Murphy, & Spooren, Reference Loth, Murphy and Spooren2016), the overarching precision medicine framework explicitly attempts to model etiological and phenotypic heterogeneity in order to deliver the right intervention, at the right dose, to the right person, at the right time (Collins & Varmus, Reference Collins and Varmus2015). Make no mistakes, without an adequate conceptual framework, the right time criterion will remain a thorn in our proverbial side. Following an empirical publication elucidating the phenomenon of temporal heterogeneity as conceptualized herein (Anticevic et al., Reference Anticevic, Corlett, Cole, Savic, Gancsos and Tang2015), albeit with cross-sectional data, Krystal and Anticevic (Reference Krystal and Anticevic2015, p. 738) state “it may be timely to draw attention to one potential source of heterogeneity within and across patients – the dynamic time-dependent neurobiological evolution of schizophrenia across its course of illness.” While the search for biomarkers that could serve as treatment targets for neurodevelopmental disorders is a noble enterprise, the assumption that biomarkers are stable and persistent across time and illness phase requires empirical data to refute or fail to refute said assumption/hypothesis.
Indeed, for a special class of biomarkers, endophenotypes (Gottesman & Gould, Reference Gottesman and Gould2003; Gottesman & Shields, Reference Gottesman and Shields1972), inherent to the definition is that the marker be state independent, or in other words, that it be present whether someone with schizophrenia is in a prodromal state, an actively ill state, or in a state of symptom remission. Quasi-developmentally oriented conceptualizations of the endophenotype also posit that it should be operable prior to any symptom manifestation (Iacono & Malone, Reference Iacono and Malone2011; Lenzenweger, Reference Lenzenweger2013; Skuse, Reference Skuse2001). Additional poignant commentary presaged the observation from Krystal and Anticevic (Reference Krystal and Anticevic2015) referenced above, “[i]deally, to be an appropriate endophenotype, a risk factor should be correlated with disease and/or disease severity but it should be clearly established that this correlation is not a consequence of either medication or degeneration due to disease progression” (Almasy & Blangero, Reference Almasy and Blangero2001, p. 42). “Disease [or rather disorder] progression” is integral to neurodevelopmental disorders – and anchors our conceptualization of temporal heterogeneity. Therefore, unless one clings to the conceptualization of neurodevelopmental or psychiatric phenotypes, and consequently the biomarkers that underlie symptom dimensions or symptom profiles, as stable and persistent, the search for endophenotypes appears less Herculean and more Sisyphean.
If we afford some logical coherence to the concept of temporal heterogeneity, an amendment to the state independence criterion may be warranted. Namely, we propose that an endophenotype must be observed prior to the manifestation of the constellation of features that define a given condition/disorder. Importantly, this marker may or may not persist through the developmental course of the condition/disorder. If it does persist, it may be subsequently obfuscated by disease/disorder progression. Indeed, the likelihood of what Meehl (Reference Meehl, Gottesman and Shields1972) referred to as a potentiator and what we refer to as an instantiator not being obscured by disease/disorder progression is slim. Therefore, the search for transient instantiators that fulfill the expanded list of endophenotype criteria sans the traditional state-independence criterion may yield promising avenues for exploration. This work will not be easy. However, work in this special section showcases the type of developmental thinking that will push us in the right direction.
Acknowledgments
The funders had no role in the writing of this report. JTE expresses his deep appreciation to Dante Cicchetti for his support and mentorship. The ideas herein germinated and were nourished by conversations with and the mentorship of Joe Piven and Irv Gottesman.
Funding Statement
JTE was supported by NIMH R01 MH104324.
Conflicts of Interest
None