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UC Berkeley psychologist Tania Lombrozo has responded to the Annual Edge Question for 2014, ‘What scientific idea is ready for retirement?’, with a piece entitled ‘The Mind is Just the Brain’, in which she argues for the rejection (‘retirement’) of mind-brain identity theory.

Using a baking analogy to illustrate her case against reductionism, she writes:

But a theory of baking wouldn’t be very useful if it were formulated in terms of molecules and atoms. As bakers, we want to understand the relationship between—for example—mixing and texture, not between kinetic energy and protein hydration. The relationships between the variables we can tweak and the outcomes that we care about happen to be mediated by chemistry and physics, but it would be a mistake to adopt “cake reductionism” and replace the study of baking with the study of physical and chemical interactions among cake components.

But if you are interested in the project of explaining, predicting, and controlling the quality of your baked goods, then you’ll need something like a baking theory to work with.

Rejecting the mind in an effort to achieve scientific legitimacy—a trend we’ve seen with both behaviorism and some popular manifestations of neuroscience—is unnecessary and unresponsive to the aims of scientific psychology. 

In these passages, Lombrozo makes a common anti-reductionistic mistake of thinking that mind-brain identity makes mental experiences somehow unreal or even disappear. Her reasoning implies that a correct explanation of mental phenomena cannot involve scientific reduction of mental phenomenon to neurobiological mechanism. This misunderstanding trades on a peculiar view of reduction, where it is expected that in neuroscience, mind-brain identities eliminate mental experiences. I think this expectation is incorrect.

Temperature was ontologically reduced to mean molecular kinetic energy, but no person expects that temperature therefore ceased to be real or became scientifically disrespectable or redundant. Visible light was ontologically reduced to electromagnetic radiation, but light did not disappear. Instead, scientists understand more about the real nature of light than they did before 1873. Light is real, no doubt; and so is temperature. Some expectations about the nature of temperature and light did change, and scientific progress does occasionally require rethinking what was believed about phenomenon. In certain instances, previously respectable states and substances sometimes did prove to be unreal. The caloric theory of heat did not survive rigorous experimental testing; caloric fluid thus proved to be unreal. A successful mind-brain identity of mental phenomenon such as pain means only that there is an explanation of pain. It is a reduction. Scientific explanations of phenomenon do not typically make them disappear [1,2,3].

It is critical to clear-up a further common misconception about mind-brain identity theory. This is the misconception that mind-brain identity theory is equivalent to reductionism. The truth is that whereas identity theory is compatible with a wide range of reductionistic philosophies, it is not equivalent to all of them. Here are some illustrative examples [4]:

1) Identity theory is reductionistic in the sense that it denies minds are ontologically independent of brains and uniquely self-guaranteeing, in line with functionalist and realization (physicalist) philosophies of mind. But functionalism and realization physicalism are not equivalent to the identity theory, so identity theory is not uniquely reductionist in the sense of (1).

2) Identity theory is reductionistic in the minimal sense that it claims, in line with functionalist and realization (physicalist) philosophies, that mind is ‘nothing over and above’ the brain, but since identity theory and functionalist and realization philosophies are not equivalent, identity theory is not equivalent to reductionism. A philosopher could be a reductionist without being an identity theorist.

3) Identity theory is not reductionistic in the sense that it asserts ‘micro-reductionism’. Mental phenomena might be identified with innate genetic or molecular mechanisms (John Bickle), but this is optional, not required. The core metaphysical commitment of identity theory is that mental states are numerically identical to brain states. Nothing is expected in this core claim about the precise mechanistic nature of brain states, which is a scientific question, anyway.

4) Identity theory is not reductionistic in the sense that it asserts that (e.g.) psychology reduces to neuroscience, cognitive neuroscience reduces to molecular neuroscience, or philosophy of mind reduces to quantum mechanics. One can assert identity theory without asserting epistemic reductionism.

Positively, I entirely agree with Lombrozo when she says:

But if we want to know—for instance—how to influence minds to achieve particular behaviors, it would be a mistake to look for explanations solely at the level of the brain.

Understanding the mind isn’t the same as understanding the brain.

Understanding the mind requires first-person descriptions of mental states and experiences, and third-person scientific descriptions of associated brain states, and a method to integrate them, such as the experiential-phenomenological method [5]. So, Lombrozo is right: ‘Understanding the mind isn’t the same as understanding the brain.’ More precisely, I argue that her correct thesis implies that the subject matter of psychology is brain mechanism as related to mental phenomena. For example, the subject of pain science is brain mechanism as related to pain phenomena (e.g., acute pain, chronic pain, fetal pain, empathy for pain, dreamed pain, near-death pain, and so on). Pain research aims to discover the brain mechanisms subserving conscious pain experiences accessible only through introspection, which means that pain research is entirely reliant on the first-person point of view and on using first-person investigative methods. This necessarily includes introspection together with third-person methods (e.g., neuroimaging). Since pain research aims to know which experience types are generated by which brain mechanism, researchers must naturally know when specific pain experiences occur and what their personal qualities are.

The history of scientific pain research shows that introspection has been extensively used. For example, pain psychophysics typically uses subject pain verbal-report or non-verbal behavior (e.g., facial expressions) to infer the presence of pain. That is, pain psychophysics is committed to subject introspection. It is also important to remember that the validity of pain-related neuroimaging was established by the correlation of brain images with self-report of pain [6]. Pain psychophysics, like psychology, preserves an epistemological dualism in its subject matter while rejecting metaphysical dualism.

How then is mind-brain identity theory positioned relative to the indispensability of introspection in mind science? Personal introspection is a direct way of coming to know about personal experiences and their qualities. It is epistemological. Still, despite appearances to the contrary, what introspection reveals to us may be utterly mechanistic. It may be that what scientists study through third-person methods is numerically identical with what is personally experienced through introspection, that is, brain mechanisms of the appropriate type. There is only one type of activity in question: the brain mechanism with all and only physical properties. Thus, mind-brain identity theory is preserved in the study of the mind.


[1] Churchland PM (2007). Neurophilosophy at work. Cambridge, UK: Cambridge University Press.

[2] Churchland PS (1989). Neurophilosophy: Toward a unified science of the mind-brain. Cambridge, Mass.: The MIT Press.

[3] van Rysewyk S (2013). Pain is Mechanism. PhD Dissertation, University of Tasmania.

[4] Polger TW (2009). Identity Theories. Philosophy Compass4(5), 822-834.

[5] Price DD, Aydede M (2006). The Experimental Use of Introspection in the Scientific Study of Pain and its Integration with Third-Person Methodologies: The Experiential-Phenomenological Approach. In M Aydede (ed.), Pain: New Essays on Its Nature and the Methodology of Its Study, pp. 243-275. Cambridge, Mass.: MIT Press.

[6] Coghill RC, McHaffie JG, Yen YF (2003). Neural correlates of interindividual differences in the subjective experience of pain. Proceedings of the National Academy of Science USA, 100, 8538-8542.

Call for Chapters: ‘Pain Experience and Neuroscience’, Edited Collection, 2014 

You are warmly invited to submit your research chapter for possible inclusion in an edited collection entitled ‘Pain Experience and Neuroscience’. The collection editor is Dr. Simon van Rysewyk. The target publication date is December 2014. Target publisher: MIT Press.

According to the International Association of the Study of Pain, pain is ‘an unpleasant sensory and emotional experience associated with actual or potential tissue damage’. Nociceptor activity induced by a noxious stimulus is not pain even though pain most typically has a peripheral physical cause. Pain is always personal. Many laboratory and clinical studies support the IASP pain definition, and it is widely endorsed in the international pain community. Not all pain is associated with tissue damage (stomach and head ache). Pains present in countless varieties associated with different sensations, imbued with different meanings and strong emotions and cognitions. Pain can have intense, complex features that need to be explained. The discovery of how such varied dimensions of pain experience relate to each other and to the pain-related neural pathways, neurotransmitters, and integrative centers of the brain that support them is a major scientific challenge in the study of pain. How can it be done?

The way to meet this challenge is to integrate knowledge from current models of pain with knowledge and insights from neuroscience, psychology, and humanities. A history of experiential pain investigations does exist. For example, early in the twentieth century, Sir Henry Head, William Landau and George H. Bishop conducted psychophysical studies on qualitative differences between ‘first pain’ and ‘second pain’ and neurophysiological studies on the relationship of these pain sub-types to brain activity. Later, temporal differences between first and second pain were explained in terms of central temporal summation in psychophysiological studies by Donald D. Price and others and Roland Staud. These integrative studies use well-known psychophysical scaling methods (e.g., ratio scales) or, the ‘experiential-phenomenological method’, in studies by Price and colleagues. Other experiential methods that form productive research programs should be considered to model pain experience, such as descriptive experience sampling (DES) (to analyze very brief episodes of experience in natural settings) developed by Russell T. Hurlburt and his colleagues, or the explication interview method to analyze the fine grain of chronic experiences, exemplified in the works of Francisco Varella, Claire Petitmengin, and Pierre Vermersch.

Without a detailed experiential analysis of the qualities of pain, or the qualitative differences between pain sub-types, it is extremely challenging to establish a detailed examination of the neural systems that support such features. Experiential analyses are also essential for the advancement of psychological pain theory and clinical practice. The aim of this edited collection is to contribute towards integrating pain psychology and neuroscience with the humanities in the study of pain.

Target audiences of ‘Pain Experience and Neuroscience’

The expected target audiences of ‘Pain Experience and Neuroscience’ are scientists, researchers, authors, and practitioners currently active in pain science, including the neurosciences and clinical neurosciences, psychology, and the humanities. The target audience will also include various stakeholders, like academic scientists and humanists, research institutes, and individuals interested in pain, including pain patients, their families and significant others, and the huge audience in the public sector comprising health service providers, government agencies, ministries, education institutions, social service providers and other types of government, commercial and not-for-profit agencies.

Intent to submit your chapter

Please indicate your intention to submit a manuscript to Simon with the title of the chapter, and author(s). He will approach a publisher once he has accepted 25 intents to submit.

Please feel free to contact Simon if you have any questions or concerns. Many thanks!


Intent to Submit: December 31, 2013
Full Version: May 31, 2014
Decision Date: July 31, 2014
Final Version: August 31, 2014 


Dr. Simon van Rysewyk

Post-Doctoral Fellow, Graduate Institute of Medical Humanities, Taipei Medical University, 250 Wu-Hsing Street, Xin-yi District, Taipei City, Taiwan 110.


mobile: +886 916 608 88


William’s reasoning for the title of his excellent article – that dualism inspired by radical skepticism can mystify and confound experimental results – conveys a truth often neglected in a majority of philosophy of mind and consciousness; namely, skepticism is an organ of doubt, but please don’t forget what we already know. Doubt is useful in philosophy; but radical doubt is self-consuming.

Proof of Heaven: A Neurosurgeon’s Journey into the Afterlife‘ (2012), by neurosurgeon Eben Alexander, presents a narration and interpretation of the near-death experience (NDE) of its author. Alexander developed bacterial meningitis, and was hospitalized. During hospitalization, he became deeply comatose, a condition which lasted seven days. Alexander was fortunate to come out of his coma state and retain full wakeful consciousness. Following wakefulness, Alexander reported remarkably clear visions, sensations and thoughts he claims to have had during his near-death coma. In his book, Alexander interprets this NDE as proof that life follows death, death is not the end, there exists an extremely pleasant and serene afterlife, and that consciousness is independent of the cortical brain. It is the last claim of Alexander’s that I will consider in this post. Specifically, is consciousness independent of cortex?

According to Alexander, his coma-induced NDE occured when his cerebral cortex was ‘completely shut down’, ‘inactivated’, and ‘totally offline’. In the article he wrote for Newsweek, Alexander writes that the absence of cortical activity in his brain was ‘clear from the severity and duration of my meningitis, and from the global cortical involvement documented by CT scans and neurological examinations.’ The problem with Alexander’s view of coma is that it is not supported by evidence. First, ‘global’ (complete) cortical ‘shut down’ does not result in coma, as Alexander believes. Complete cortical ‘shut down’ is fatal, and results in brain death (e.g., Cavanna et al. 2010; Charland-Verville et al. 2012; Laureys et al. 2004a; Laureys et al. 2004b). Second, ‘flat’ EEG recordings concurrent with high alpha cortical brain activity are frequently observed in comatose patients; this event is termed ‘event-related desynchronization’. There is a vast and well-established scientific literature on this topic (e.g., Pfurtscheller & Aranibar, 1979; Pfurtscheller, 1992; Pfurtscheller et al. 1999). Thus, coma does not require complete cortical deactivation.

Alexdander’s claim that NDEs require complete cortical shut down carries the implication that fully (wakeful) sensory consciousness must involve only cortex. Alexander’s argument is in line with a trend in consciousness studies research to investigate cortical regions, pathways, and activity guided by the slogan ‘seeking the neural correlates of consciousness.’ Clinical studies of cortical lesions have motivated this approach, largely due to robust correlations such as fusiform lesions leading to prosopagnosia, or ventral stream lesions leading to the visual inability to percieve shapes. The convenience of neuroimaging cortical activity with MEG, EEG, PET and fMRI has likely also played a part in the focus on cortex.

However, viewing (wakeful) sensory consciousness as purely cortical neglects essential subcortical-cortical behavioural aspects (e.g., Churchland, 2002; Damasio, 1999; Guillery & Sherman, 2002; Llinas, 2001; van Rysewyk, 2013). Put very simply (and briefly), a basic function of mammalian and non-mammalian nervous systems is to enable and regulate movements necessary to evolutionary goals such as feeding and reproducing. Peripheral axons that carry sensory information have collateral branches that project both to subcortical motor structures (primarily, thalamus) and cortical motor structures (primary motor cortex, M1). According to Guillery and Sherman (2002), all peripheral sensory input communicates information about ongoing instructions to such subcortical-cortical motor stuctures, which implies that a sensory signal can become a prediction about what movement will happen next. Thus, as an organism learns the effects of a specific movement, it learns about what in the world will likely occur next (planning), and thus what it might do following that event (deciding, acting). Temporality emerges as central to the nature of consciousness. In order to keep the body alive, nervous systems face numerous complex challenges in learning, continuous effective prediction, attention to different sensorimotor events, and calling up stored (timing) information. Neuroanatomical loops between thalamocortico structures are a plausible physical substrate involved in (identical to?) the temporal and causal aspects of the world, and of one’s own body (e.g., Damasio, 1999; Guillery & Sherman, 2002; Llinas, 2001). This leads to the empirical prediction that in a near-death event, normal functioning of thalamocortico loops is compromised.


Cavanna, A. E., Cavanna, S. L., Servo, S., & Monaco, F. (2010). The neural correlates of impaired consciousness in coma and unresponsive states. Discovery medicine, 9(48), 431.

Charland-Verville, V., Habbal, D., Laureys, S., & Gosseries, O. (2012). Coma and related disorders. Swiss archives of neurology and psychiatry, 163(8): 265-72.

Churchland, P. M. (2007). Neurophilosophy at work. Cambridge, UK: Cambridge University Press.

Churchland, P. S. (1989). Neurophilosophy: Toward a unified science of the mind-brain. Cambridge, Mass.: The MIT Press.

Churchland, P. S. (2002). Brain-wise: Studies in neurophilosophy. Cambridge, Mass.: The MIT Press.

Churchland, P. S. (2011). Braintrust: What neuroscience tells us about morality. Princeton: Princeton University Press.

Damasio, A. R. (1999). The Feeling of What Happens. New York: Harcourt Brace.

Guillery, R. W., & Sherman, S. M. (2002). The thalamus as a monitor of motor outputs. Philos. Trans. R Soc. Lond. B Biol. Sci., 357: 1809-1821.

Laureys, S., Owen, A. M., & Schiff, N. D. (2004a). Brain function in coma, vegetative state, and related disorders. The Lancet Neurology, 3(9), 537-546.

Laureys, S., Perrin, F., Faymonville, M. E., Schnakers, C., Boly, M., Bartsch, V., Majerus, S., Moonen, G., & Maquet, P. (2004b). Cerebral processing in the minimally conscious state. Neurology, 63(5), 916-918.

Llinas, R. R. (2001). I of the Vortex: From Neurons to Self. Cambridge, Mass.: MIT Press.

Pfurtscheller, G., & Aranibar, A. (1979). Evaluation of event-related desynchronization (ERD) preceding and following voluntary self-paced movement. Electroencephalography and clinical neurophysiology, 46(2), 138-146.

Pfurtscheller, G. (1992). Event-related synchronization (ERS): an electrophysiological correlate of cortical areas at rest. Electroencephalography and clinical neurophysiology, 83(1), 62-69.

Pfurtscheller, G., & Lopes da Silva, F. H. (1999). Event-related EEG/MEG synchronization and desynchronization: basic principles. Clinical neurophysiology, 110(11), 1842-1857.

van Rysewyk, S. (2013). Pain is Mechanism. Unpublished PhD Thesis. University of Tasmania.

Is gender identity – the sense of being a man or a woman – a perception identical with the nonconscious physical brain or the conscious non-physical soul? Since people who identify as transsexual verbally self-report strong feelings of being the opposite sex and a feeling that their sexual characteristics are not constitutive of their actual gender, they are a powerful case in explaining the nature of gender identity and phenomenal consciousness.

It is possible that a person’s sense of gender identity may be subserved by an
nonconscious physical base with a specific neurophysiological or neural ‘signature’. Explaining gender identity in this direct way aims first to describe the base as a correlate of gender identity, then ultimately to achieve a reductive neurophysiological explanation of gender identity.

Neurophysiological mechanism and transexual experiences can be correlated for a variety of reasons: the mechanism is part of the cause of transexualism; the mechanism is part of the effect of transsexualism; the mechanism indirectly parallels transsexualism; the mechanism is what transsexualism can be identified with. Discovering the neurophysiological signature of transsexualism requires the identification of some neurophysiological mechanism with transsexualism. The correlation of mechanism x with transsexualism is informative because x may be the one for identifying transsexualism. Correspondingly, mechanism y that does not correlate with transsexualism indicates that y may not be the one. If there is a mechanism of transsexualism with a neurophysiological signature identifiable with transsexual experiences, the scientific and clinical benefits could be huge. Thus, investigating transsexualism directly is worth a try.

There is support for theoretical identification of gender identity with neurophysiological mechanism. According to the most influential theory, during the intrauterine period, two mechanical operations may occur: (1) in the female ‘direction’, there is no surge of testosterone on nerve cells; (2) in the male ‘direction’, there is a surge of testosterone on nerve cells. Since sexual differentiation of the brain occurs in the second half of pregnancy, and sexual differentiation of the sexual organs occurs in months 1-2 of pregnancy, transsexuality may result. Thus, the relative masculinzation of the brain at birth may not reflect the relative masculinization of the genitals (e.g., Berenbaum & Beltz, 2011; Savic et al. 2011; Veale et al. 2010).

One line of neuroscientific support for a neuroanatomical signature of gender identity derives from studies on whether gray matter volumes in (heterosexual) male-to female (MTF) transexuals before cross-sex hormonal treatment are correlated with people who share their biological sex (i.e., men), or people who share their gender identity (i.e., women). Luders et al. (2009) analyzed MRI data of 24 male-to-female (MTF) transsexuals and found that regional gray matter variation in MTF transsexuals correlates with the pattern found in men than in women. Luders et al. (2012) found thicker cortices in MTF transsexuals, both within regions of the left hemisphere (i.e., frontal and orbito-frontal cortex, central sulcus, perisylvian regions, paracentral gyrus) and right hemisphere (i.e., pre-/post-central gyrus, parietal cortex, temporal cortex, precuneus, fusiform, lingual, and orbito-frontal gyrus) than age-matched control males.

In contrast, Rametti et al. (2011) found that the white matter microstructure pattern in MTF transsexuals is halfway between the pattern of examined male and female controls. These differences may indicate that some fasciculi do not complete the masculinization mechanical operation in MTF transsexuals during foetal brain development. This implies that the social environment is co-constitutive of gender identity. Clearly, more research is needed to answer this question.

Another line of neuroscientific research has focused on intrinsic brain activity (i.e., brain resting-state) to investigate correlations between the spontaneous brain connectivity of transexuals and control groups. Santarnecchi et al. (2012) used both seed-voxel and atlas-based region-of-interest (ROI) approaches and found that brain regions sensitive to gender dimorphism (e.g., left lingual gyrus, precuneus) revealed robust correlations between the female-to-male (FTM) subject and female control group with regard to control males, with comparable extension and location of functional connectivity maps. ROI analysis supported this result, demonstrating an increased pattern of differences between the FTM subject and males and the FTM subject and females. No statistically significant difference was found between seed-voxel results in the FTM subject and females. This study supports the hypothesis that untreated FTM transgender shows a functional connectivity profile comparable to female control subjects.

Taken together, these findings provide evidence that transsexualism is correlated with a specific physical signature, in terms of neuroanatomy and brain connectivity, which supports the claim of mind-brain identity theory that neurophysiological mechanism is constitutive of gender identity. Thus, the most reasonable explanation of transsexualism and gender identity is that it is entirely physical in nature.


Berenbaum, S. A., & Beltz, A. M. (2011). Sexual differentiation of human behavior: Effects of prenatal and pubertal organizational hormones. Frontiers in Neuroendocrinology, 32(2), 183-200.

Luders, E., Sánchez, F. J., Gaser, C., Toga, A. W., Narr, K. L., Hamilton, L. S., & Vilain, E. (2009). Regional gray matter variation in male-to-female transsexualism. Neuroimage, 46(4), 904-907.

Luders, E., Sánchez, F. J., Tosun, D., Shattuck, D. W., Gaser, C., Vilain, E., & Toga, A. W. (2012). Increased Cortical Thickness in Male-to-Female Transsexualism. Journal of Behavioral and Brain Science, 2, 357-362.

Rametti, G., Carrillo, B., Gómez-Gil, E., Junque, C., Segovia, S., Gomez, Á., & Guillamon, A. (2011). White matter microstructure in female to male transsexuals before cross-sex hormonal treatment. A diffusion tensor imaging study. Journal of psychiatric research, 45(2), 199-204.

Santarnecchi, E., Vatti, G., Déttore, D., & Rossi, A. (2012). Intrinsic Cerebral Connectivity Analysis in an Untreated Female-to-Male Transsexual Subject: A First Attempt Using Resting-State fMRI. Neuroendocrinology, 96(3), 188-193.

Savic, I., Garcia-Falgueras, A., & Swaab, D. F. (2010). 4 Sexual differentiation of the human brain in relation to gender identity and sexual orientation. Progress in Brain Research, 186, 41-65.

Veale, J. F., Clarke, D. E., & Lomax, T. C. (2010). Biological and psychosocial correlates of adult gender-variant identities: a review. Personality and Individual Differences, 48(4), 357-366.

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