Showing posts with label DSM. Show all posts
Showing posts with label DSM. Show all posts

4 May 2016

WHY EVOLUTIONARY THEORY SHOULD GUIDE THE NEW PARADIGM SHIFT IN PSYCHIATRY



SACHIN SARIN MD

              Tinbergen (1963) famously described a framework for understanding behavior in which he emphasized that in order to understand behavior we must appreciate not only its proximate but also its ultimate or evolutionary causes. While evolutionary theory has long been touted as critically important towards our understanding of human pathology (Williams & Nesse 1991; Nesse & Williams 1996; Nesse et al, 2010) the field of psychiatry has largely ignored evolutionary theory (BrĂ¼ne 2012). 



Instead, the predominant nosology of psychiatric diagnosis, the DSM 5, relies on a speculative constellation of symptoms, called disorders, which are deemed present or absent in a dynamic but otherwise dichotomous manner. This translation, from dimensional to categorical model, necessarily leads to a loss of information, in this instance limiting a more in depth understanding of the ailments affecting psychiatric patients. Further, the current model of psychiatric diagnosis has impeded advances of novel therapeutic and research models in psychiatric illnesses (Holtzheimer and Mayberg, 2011). Any further improvement in the efficacy of pharmacotherapy for psychiatric disorders is inherently limited because each disorder represents a heterogeneous group of syndromes (Wong et al., 2010). 



Heterogeneity has also limited further determination of the underlying genetics of psychiatric disorder as the empirical genetic data suggest they are overlapping constructs (Cross-Disorder Group of the Psychiatric Genomics Consortium, 2013). Alarmingly, the DSM 5 has been criticized due to potential conflicts of interest, lack of scientific rigor and transparency (including a refusal for an independent review that was endorsed by many mental health organizations), which has led to “The New Crisis of Confidence in Psychiatric Diagnosis” (Frances, 2013). That is not to say that there is no benefit to the current system of diagnoses as it guides treatment and undoubtedly contributes to the improvement in quality of lives in our patients. However, psychiatric syndromes as they are currently defined, result from an incredibly complex and poorly understood interaction of genetics and environment and their etiology remains largely

elusive. Only now, with recent advancements in technology, and the broad understanding that our current definitions of disorders need to be modified, are we ready for a true paradigm shift in psychiatry.



The NIMH funded RDoC project represents a radical change as it attempts to utilize neurobiological measures to rethink psychiatric illnesses as disorders of brain neuro-circuitry along a dimensional model (Insel, 2014).  While the project is still in its early stages, and is currently lacking clinical applicability, the model fits the context of evolutionary theory as natural selection does not shape diseases, but rather selects for traits that render us vulnerable to disease (Nesse, 2011). Proximate and evolutionary understandings of behavior combine in a complimentary and synergistic way and, as Tinbergen suggested, both must be appreciated to truly understand complex behavioral phenomena including psychiatric syndromes. Evolutionary theory allows us to understand why behavior exists and provides the metatheory for the generation of testable hypotheses to guide both research and interventions.



Life History Theory and Evolutionary Mismatch

Life history theory explores how and why organisms utilize time and energy for activities that comprise the life cycle and differential allocation of resources by individuals comprises different life history strategies (Del Giudice & Ellis, 2014).  Life history helps us understand individual differences in behavior and its concepts provide an organizing framework for understanding the development of mental health disorders (Brune, 2014). Life history theory predicts that harsh environmental conditions reduce the amount of parental investment in individual offspring, which in turn biases the offspring towards immediate resource extraction and opportunistic behavior, accelerating biological maturation of offspring, and fostering short-term pair bonds and risky sexual behavior (Belsky, 1991).  This is one explanation that helps us understand why early adverse life events are associated with the development of psychiatric disorders later in life. These events are suggestive of a harsh environment and cue an individual towards a faster life history strategy which has a number of significant consequences including more cognitive resources being devoted towards riskier, emotional behavior as opposed to behavior being guided by higher level cognitive processes; thereby, rendering these individuals more vulnerable to the emotional symptoms that underlie some mental health problems.



This concept is supported by data from humans which suggest that the two most profound structural changes in the brain as a result of early life stress are increases in amygdala volume and decreases in the prefrontal cortex volume (Davidson & McEwen 2012). However, what may have been adaptive at one time in human history may no longer be so due to a number of reasons including evolutionary mismatch (Durisko, 2016). The human environment of evolutionary adaptedness (EEA) is meant to explore the selection pressures in the environment that led to the development of a given adaptation. However it is important to note that EEA "is not a place or a habitat, or even a time period. Rather, it is a statistical composite of the adaptation-relevant properties of the ancestral environments encountered by members of ancestral populations, weighted by their frequency and fitness consequences" (Tooby and Cosmides 1990, 386–7). Each different psychological adaptation will have different evolutionary histories and consequently different EEAs. The majority of human psychological adaptations are thought to have evolved in hunter-gather societies in sub-Saharan Africa as this is where our species is believed to have spent the majority of its ancestral history. As our cultural evolution (technology, medicine) progresses at astounding speeds we are in a constant and dynamic state of evolutionary mismatch. Not only is the way we interact with the world markedly different now than in any other time in human history, but the way in which we interact with each other continues to rapidly change. Perhaps, it is no wonder that the rate of psychiatric disorders in modern society continues to rise as the demands that society places on individuals in no way resembles the life that we have been adapted to live. 

References
1.      Tinbergen, N. (1963). On aims and methods of ethology. Zeitschrift fĂ¼r Tierpsychologie, 20(4), 410-433.
2.      Williams, G. C., & Nesse, R. M. (1991). The dawn of Darwinian medicine.Quarterly Review of Biology, 1-22.
3.      Nesse, R. M., & Williams, G. C. (1996). Why we get sick: The new science of Darwinian medicine. Vintage.
4.      Nesse, R. M., Bergstrom, C. T., Ellison, P. T., Flier, J. S., Gluckman, P., Govindaraju, D. R., & Thomas, M. G. (2010). Making evolutionary biology a basic science for medicine. Proceedings of the National Academy of Sciences, 107(suppl 1), 1800-1807.
5.      BrĂ¼ne, M., Belsky, J., FaBrega, H., FEIERMAN, H. R., Gilbert, P., Glantz, K., & Troisi, A. (2012). The crisis of psychiatry—insights and prospects from evolutionary theory. World Psychiatry, 11(1), 55-57.
6.      Holtzheimer, P. E., & Mayberg, H. S. (2011). Stuck in a rut: rethinking depression and its treatment. Trends in neurosciences, 34(1), 1-9.
7.      Wong, E. H., Yocca, F., Smith, M. A., & Lee, C. M. (2010). Challenges and opportunities for drug discovery in psychiatric disorders: the drug hunters' perspective. The International Journal of Neuropsychopharmacology, 13(09), 1269-1284.
8.      Cross-Disorder Group of the Psychiatric Genomics Consortium. (2013). Identification of risk loci with shared effects on five major psychiatric disorders: a genome-wide analysis. The Lancet, 381(9875), 1371-1379.
9.      Frances, Allen. "Saving normal: An insider's revolt against out-of-control psychiatric diagnosis, DSM-5, big pharma and the medicalization of ordinary life." Psychotherapy in Australia 19.3 (2013): 14.
10.   Insel, T. R. (2014). The NIMH research domain criteria (RDoC) project: precision medicine for psychiatry. American Journal of Psychiatry.
11.   Nesse, R. M. (2011). Ten questions for evolutionary studies of disease vulnerability. Evolutionary Applications, 4(2), 264-277.
12.   Del Giudice, M., & Ellis, B. J. (2014). Evolutionary foundations of developmental psychopathology. Developmental psychopathology, 1.
13.   BrĂ¼ne, M. (2014). Life history theory as organizing principle of psychiatric disorders: Implications and prospects exemplified by borderline personality disorder. Psychological Inquiry, 25(3-4), 311-321.
14.   Belsky, J., Steinberg, L., & Draper, P. (1991). Childhood experience, interpersonal development, and reproductive strategy: An evolutionary theory of socialization. Child development, 62(4), 647-670.
15.   Davidson, R. J., & McEwen, B. S. (2012). Social influences on neuroplasticity: stress and interventions to promote well-being. Nature neuroscience, 15(5), 689-695.
16.   Durisko, Z., Mulsant, B. H., McKenzie, K., & Andrews, P. W. (2016). Using Evolutionary Theory to Guide Mental Health Research. The Canadian Journal of Psychiatry, 61(3), 159-165.
17.   Tooby, J., & Cosmides, L. (1990). The past explains the present: Emotional adaptations and the structure of ancestral environments. Ethology and sociobiology, 11(4), 375-424.


14 March 2016

BETWEEN DSM AND RDoC: THE SYNAPSES TO SYSTEMS PARADIGM

ALAN EPPEL



Psychiatry is a dynamic and rapidly evolving medical speciality. It is now at a transition point in its history. The limitations of the DSM and ICD systems have become apparent while at the same time the promise of the neuroscience paradigm has not yet been realised.



DSM

The introduction of  DSM III in 1980 has had a profound impact on the practice of psychiatry. DSM III was an improvement from earlier classifications which consisted of imprecise narrative descriptions mixed in with psychoanalytic concepts.

DSM III was atheoretical adopting a phenomenological Kraepelinian approach based on observable surface features. However an objective-descriptive system has intrinsic limitations. Without an explication of the underlying pathophysiology it lacks explanatory power and construct validity. A criterion based system leads to overlap of syndromes and a lack of sharp boundaries between diagnostic entities. This leads to the artificial  over diagnosis of “ comorbidities which are identified in 35 to 45% of patients. A model which generates such a high rate of false comorbidity creates difficulty both for research and for clinical practice.

Also the reliance on symptoms and signs, has resulted in a narrowing of clinical focus and an overemphasis on psychopharmacology. The interpersonal and sociocultural frameworks became downgraded.





RDoC

The high rates of comorbidity and the heterogeneity within diagnostics undermine validity and have  made research difficult. Consequently over the past seven years the National Institute of Mental Health has developed the Research Domain Criteria Project. RDoC is based on dimensions of observable behavior linked to neurocircuits.

The purpose of RDoC is to build from the ground up based upon research in molecular biology, genomics, brain imaging and neurobiology. NIMH has identified key domains related to fear, approach, motivation, reward, cognitive systems, social processes (including attachment separation and social dominance) arousal and regulatory systems. The fundamental premise of this approach is that psychiatric disorders are disorders of neurocircuits. This is a long-term open-ended project that by its very nature does not propose a unifying heuristic conceptual model.

There are five Domains in the RDoC matrix:

Negative Valence Systems. Positive Valence Systems. Cognitive Systems.

Systems for Social Processes. Arousal and Regulatory Systems.

RDoC is actually not a classification system  but rather an process of research that could lead to a new classification and understanding of psychiatric disorders. RDoC does not have any a priori criteria for defining disorders.

RDoC then is not a system ready for clinical application. It also does not contain any linkages to the broader determinants of health,  dimensions of social and environmental factors, that impact on the development of psychiatric disorders.



SYNAPSES to SYSTEMS

In response to the conceptual limitations of DSM and RDoC  the psychiatry residency program at McMaster University  has introduced a framework known as Synapses to Systems. This consists of a multi-dimensional conceptual model that has application to training and clinical practice.
 









The Synapses to Systems paradigm identifies four levels of discourse: Synapses, Self, Systems, and Society.

These domains are used to understand psychiatric disorders and to guide therapeutic approaches.





Relationship of Synapses to Systems and RDoC
SYNAPSES to SYSTEMS
DOMAINS
RDoC
RDoC
DOMAINS

SYNAPSES

Neurosciences,
Neurocircuitry,     
Neuroimaging
Genomics   Molecular Psych.

Genes
Molecules
Cells
Neurocircuits

Negative & Positive Valence systems
Arousal &
Regulatory systems

SELF
Child Development,
Attachment, Psychodynamics

Affiliation & Attachment

Perception & Under-
standing of Self &others

Systems for Social
Processes


SYSTEMS AND SOCIETY
Populations, Culture
Determinants of Health,
Global Mental Health
Families, and Social Systems


Social Communication

Systems for Social
Processes

Cognitive Systems


No domains for broader social factors



 
 

The Synapses to Systems approach is a bridge linking the categorical DSM and dimensional RDoC frameworks. It is designed to conceptualize psychiatric disorders, therapeutic strategies and recovery that better equips trainees and practitioners for the future practice of Psychiatry.