Hostname: page-component-8448b6f56d-cfpbc Total loading time: 0 Render date: 2024-04-18T16:38:46.064Z Has data issue: false hasContentIssue false

What neuroscience has already done for us

Commentary on… Why hasn't neuroscience delivered for psychiatry?

Published online by Cambridge University Press:  20 February 2020

Lindsey Isla Sinclair*
Affiliation:
Department of Population Health Sciences, University of Bristol, UK
*
Correspondence to Lindsey Sinclair (Lindsey.sinclair@bristol.ac.uk)
Rights & Permissions [Opens in a new window]

Abstract

Summary

Each of the components of the biopsychosocial model of mental illness is important for understanding mental illness. Biological and genetic abnormalities have been demonstrated in major mental illnesses. These are leading to changes in our understanding of these conditions, as well as our understanding of the link between life events and mental illness.

Type
Article Commentary
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - ND
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work.
Copyright
Copyright © The Author 2020

As readers will be well aware, the biopsychosocial model has underpinned psychiatry for several decades.Reference Engel1 Each component of this model is important for our understanding of mental illness. Professor Kingdon is therefore correct to say in his interesting editorial that neuroscience is unlikely to hold all of the answers to why people develop mental disorders and when they occur in their lifetime.Reference Kingdon2 I challenge, however, his assertion that ‘biological changes have yet to be shown to be relevant to the major mental disorders’.

Brain imaging and schizophrenia

Taking schizophrenia as an example, there are clearly demonstrable differences in the brains of individuals with schizophrenia compared with those of controls. It was first shown in the 1970s that people with schizophrenia had enlarged cerebral ventricles.Reference Crow and Johnstone3 Since then abnormalities in both grey and white matter have been convincingly demonstrated in the disorder.Reference Olabi, Ellison-Wright, McIntosh, Wood, Bullmore and Lawrie4 More sophisticated brain-imaging techniques have allowed the discovery in recent years that differences in brain volume are present even in medication-naive individuals with first-episode psychosis.Reference Kahn and Sommer5 It seems increasingly likely that there are differences in volume even before the at-risk mental state, although this remains difficult to prove definitively.Reference Takahashi and Suzuki6Reference Nenadic, Dietzek, Schönfeld, Lorenz, Gussew and Reichenbach8

Recently developed scientific techniques such as the use of induced pluripotent stem cells to create a ‘cortex in a dish’ (aka brain organoids) have allowed tantalising insights into why these imaging abnormalities may emerge. Using cells from individuals with schizophrenia (some with a range of predisposing genetic abnormalities) multiple studies have shown abnormalities such as impaired cellular differentiation and synapse formation.Reference Robicsek, Karry, Petit, Salman-Kesner, Müller and Klein9Reference Johnstone, Vasistha, Barbu, Dando, Burr and Christopher11

These studies add to the emerging hypothesis that the brain of someone at risk of schizophrenia differs from controls at an early stage and that these differences increase as psychosis emerges. These neuroscientific findings are a good fit with the long-standing findings from more psychosocially focused research that differences can be seen in childhood behaviour in those who later develop schizophrenia.Reference Niemi, Suvisaari, Tuulio-Henriksson and Lönnqvist12Reference Davidson, Reichenberg, Rabinowitz, Weiser, Kaplan and Mark15 They also suggest that, to develop better treatments for schizophrenia, we need to look beyond compounds targeting dopamine receptors.

Genetics in intellectual disability and depression

I would also challenge Professor Kingdon's assertion that no genetic findings of use to the practising psychiatrist have been found for the major mental illnesses. Genetic testing for copy number variants is starting to form part of practice in intellectual disability services.Reference Wolfe, Strydom, Morrogh, Carter, Cutajar and Eyeoyibo16,Reference Adlington, Smith, Crabtree, Win, Rennie and Khodatars17 Using his example of depression he is correct to say that the much vaunted candidate genes studied in the 1990s and 2000s have not been replicated in later, large studies.Reference Border, Johnson, Evans, Smolen, Berley and Sullivan18 However, more recent, vastly better powered studies have produced findings of greater potential use. The most recent genome-wide association study on depression found 87 independent loci that were associated with depression, with a startling lack of genes involved in the 5-HT system.Reference Howard, Adams, Clarke, Hafferty, Gibson and Shirali19 This may suggest that, although drugs acting on the 5-HT system are effective in treating depression for many people, disturbances in 5-HT are not the cause of depression. Findings such as these are likely to be of great benefit in developing new treatments.

Epigenetics and treatment targetting

Neuroscience can also help us to explain the link between life events, which are frequently assessed in psychosocial research, and mental health outcomes. For example, epigenetic studies have shown that maternal behaviour influences the expression of genes, including those involved in the glucocorticoid stress response.Reference McGowan, Suderman, Sasaki, Huang, Hallett and Meaney20,Reference Weaver, Cervoni, Champagne, D'Alessio, Sharma and Seckl21 Because this work was done in rats it was possible to demonstrate that this effect was not genetic as it was abolished by cross-fostering with more affectionate mothers.Reference Weaver, Cervoni, Champagne, D'Alessio, Sharma and Seckl21 Childhood maltreatment such as physical abuse has long been recognised as a risk factor for mental illness. Recent genetic and epigenetic studies are helping us to understand why some people are more resilient to the effects of this abuse than others.Reference Thibodeau, Masyn, Rogosch and Cicchetti22,Reference Dunn, Soare, Zhu, Simpkin, Suderman and Klengel23 It has been suggested by some authors that this information could be used to better target childhood interventions, such as providing more intensive interventions to those likely to be least resilient to the effects of childhood maltreatment.

Conclusions

Our understanding of mental health problems has started to change radically in the past few decades. It is only 50 years since it was widely believed that parents could be responsible for their offspring developing schizophrenia.Reference Harrington24 Within the past 50 years patients with intractable epilepsy were cared for in psychiatric hospitals, something that would now be unthinkable, and the parent–child relationship was seriously considered as a cause of epilepsy.Reference Liddell25,Reference Hewitt, Taylor and Brumby26

This improvement in understanding has the potential to reduce stigma, to ultimately lead to new treatments and to provide patients with a better understanding of what is happening to them and why. It is critical that mental health researchers work together, rather than in methods-based silos, to further improve our understanding of why and how patients develop mental health problems.

Funding

L.I.S. has received research funding from BRACE, Dementias Platform UK, the British Neuropathological Society and the David Telling Charitable Trust.

About the author

Lindsey Isla Sinclair, MBBS, MSc, PhD, MRCPsych, is a Clinical Research Fellow in psychiatry in the Department of Population Health Sciences at the University of Bristol, UK. Her research is neuroscience based and she is a Gatsby/RCPsych travelling fellowship awardee 2019.

Footnotes

Declaration of interest: None.

See this issue.

References

Engel, G. The need for a new medical model: a challenge for biomedicine. 1977; Science 196: 129–36.Google ScholarPubMed
Kingdon, D. Why hasn't neuroscience delivered for psychiatry? BJPsych Bull 2020; this issue.CrossRefGoogle Scholar
Crow, TJ, Johnstone, E. Cerebral atrophy and cognitive impairment in chronic schizophrenia. Lancet 1977; 309: 357.CrossRefGoogle Scholar
Olabi, B, Ellison-Wright, I, McIntosh, AM, Wood, SJ, Bullmore, E, Lawrie, SM. Are there progressive brain changes in schizophrenia? A meta-analysis of structural magnetic resonance imaging studies. Biol Psychiatry 2011; 70: 8896.CrossRefGoogle ScholarPubMed
Kahn, RS, Sommer, IE. The neurobiology and treatment of first-episode schizophrenia. Mol Psychiatry 2015; 20: 8497.CrossRefGoogle ScholarPubMed
Takahashi, T, Suzuki, M. Brain morphologic changes in early stages of psychosis: implications for clinical application and early intervention. Psychiatry Clin Neurosci 2018; 72: 556–71.CrossRefGoogle ScholarPubMed
Brent, BK, Rosso, IM, Thermenos, HW, Holt, DJ, Faraone, SV, Makris, N, et al. Alterations of lateral temporal cortical gray matter and facial memory as vulnerability indicators for schizophrenia: an MRI study in youth at familial high-risk for schizophrenia. Schizophr Res 2016; 170: 123–9.CrossRefGoogle ScholarPubMed
Nenadic, I, Dietzek, M, Schönfeld, N, Lorenz, C, Gussew, A, Reichenbach, JR, et al. Brain structure in people at ultra-high risk of psychosis, patients with first-episode schizophrenia, and healthy controls: a VBM study. Schizophr Res 2015; 161: 169–76.CrossRefGoogle ScholarPubMed
Robicsek, O, Karry, R, Petit, I, Salman-Kesner, N, Müller, FJ, Klein, E, et al. Abnormal neuronal differentiation and mitochondrial dysfunction in hair follicle-derived induced pluripotent stem cells of schizophrenia patients. Mol Psychiatry 2013; 18: 1067–76.CrossRefGoogle ScholarPubMed
Vasistha, NA, Johnstone, M, Barton, SK, Mayerl, SE, Thangaraj Selvaraj, B, Thomson, PA, et al. Familial t(1;11) translocation is associated with disruption of white matter structural integrity and oligodendrocyte–myelin dysfunction. Mol Psychiatry 2019; 24: 1641–54.CrossRefGoogle Scholar
Johnstone, M, Vasistha, NA, Barbu, MC, Dando, O, Burr, K, Christopher, E, et al. Reversal of proliferation deficits caused by chromosome 16p13.11 microduplication through targeting NFκB signaling: an integrated study of patient-derived neuronal precursor cells, cerebral organoids and in vivo brain imaging. Mol Psychiatry 2019; 24: 294311.CrossRefGoogle ScholarPubMed
Niemi, LT, Suvisaari, JM, Tuulio-Henriksson, A, Lönnqvist, JK. Childhood developmental abnormalities in schizophrenia: evidence from high-risk studies. Schizophr Res 2003; 60: 239–58.CrossRefGoogle ScholarPubMed
Baum, KM, Walker, EF. Childhood behavioral precursors of adult symptom dimensions in schizophrenia. Schizophr Res 1995; 16: 111–20.CrossRefGoogle Scholar
Bearden, CE, Rosso, IM, Hollister, JM, Sanchez, LE, Hadley, T, Cannon, TD. A prospective cohort study of childhood behavioral deviance and language abnormalities as predictors of adult schizophrenia. Schizophr Bull 2000; 26: 395410.CrossRefGoogle ScholarPubMed
Davidson, M, Reichenberg, A, Rabinowitz, J, Weiser, M, Kaplan, Z, Mark, M. Behavioral and intellectual markers for schizophrenia in apparently healthy male adolescents. Am J Psychiatry 1999; 156: 1328–35.Google ScholarPubMed
Wolfe, K, Strydom, A, Morrogh, D, Carter, J, Cutajar, P, Eyeoyibo, M, et al. Chromosomal microarray testing in adults with intellectual disability presenting with comorbid psychiatric disorders. Eur J Hum Genet 2017; 25: 6672.Google Scholar
Adlington, K, Smith, J, Crabtree, J, Win, S, Rennie, J, Khodatars, K, et al. Improving access to genetic testing for adults with intellectual disability: a literature review and lessons from a quality improvement project in East London. Am J Med Genet B Neuropsychiatr Genet 2019; 180: 566–75.Google ScholarPubMed
Border, R, Johnson, EC, Evans, LM, Smolen, A, Berley, N, Sullivan, PF, et al. No support for historical candidate gene or candidate gene-by-interaction hypotheses for major depression across multiple large samples. Am J Psychiatry 2019; 176: 376–87.CrossRefGoogle ScholarPubMed
Howard, DM, Adams, MJ, Clarke, T-K, Hafferty, JD, Gibson, J, Shirali, M, et al. Genome-wide meta-analysis of depression identifies 102 independent variants and highlights the importance of the prefrontal brain regions. Nat Neurosci 2019; 22: 343–52.Google ScholarPubMed
McGowan, PO, Suderman, M, Sasaki, A, Huang, TCT, Hallett, M, Meaney, MJ, et al. Broad epigenetic signature of maternal care in the brain of adult rats. PLoS One 2011; 6(2): e14739.CrossRefGoogle ScholarPubMed
Weaver, ICG, Cervoni, N, Champagne, FA, D'Alessio, AC, Sharma, S, Seckl, JR, et al. Epigenetic programming by maternal behavior. Nat Neurosci 2004; 7: 847–54.CrossRefGoogle ScholarPubMed
Thibodeau, EL, Masyn, KE, Rogosch, FA, Cicchetti, D. Child maltreatment, adaptive functioning, and polygenic risk: a structural equation mixture model. Dev Psychopathol 2019; 31: 443–56.Google ScholarPubMed
Dunn, EC, Soare, TW, Zhu, Y, Simpkin, AJ, Suderman, MJ, Klengel, T, et al. Sensitive periods for the effect of childhood adversity on DNA methylation: results from a prospective, longitudinal study. Biol Psychiatry 2019; 85: 838–49.Google ScholarPubMed
Harrington, A. The fall of the schizophrenogenic mother. Lancet 2012; 379: 1292–3.CrossRefGoogle ScholarPubMed
Liddell, DW. Observations on epileptic automatism in a mental hospital population. J Ment Sci 1953; 99: 732–48.CrossRefGoogle Scholar
Hewitt, R. Social stigma, stress and enforced transition in specialist epilepsy services 1905–1965. In Healthy Minds in the Twentieth Century: In and Beyond the Asylum (eds Taylor, SJ, Brumby, A): 5372. Springer International Publishing, 2020.CrossRefGoogle Scholar
Submit a response

eLetters

No eLetters have been published for this article.