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Rethinking Neuroscientific Methodology: Lived Experience in Behavioral Studies

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Abstract

The role of experience in the process of behavioral refinement has been undertheorized by philosophers of neuroscience and neuroscientists. By examining sleep studies in behavioral neurobiology, I show that scientists frequently invoke a variety of lived experiences—what I call experientially derived notions—to refine the behavior under investigation. Of note, these behaviors must remain sufficiently fuzzy throughout experimentation to permit refinement. The aim of this article is to recognize that neuroscientists’ use of lived experience necessarily helps refine behaviors and render those behavioral terms relevant to human life.

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Notes

  1. I note that this account, by focusing on behavioral neuroscientific methodology and moving beyond subjective experience, differs from standard neurophenomenological accounts that attempt to incorporate experimental subjects’ phenomenology in experimentation. Nonetheless, it shares perspective with arguments that have drawn attention to the naive assumption that cognitive scientists can separate cognitive experience from their own first-person experience. For a detailed discussion of this debate in cognitive science, see Gallagher (1997).

  2. Note that this also distances the present account from others strictly advocating for the use of folk psychology or everyday concepts.

  3. Sometimes the study explicitly addresses a component of sleep, whereas other times it is just taken to be representative of sleep more generally.

  4. Note that this characterization of reversibility says nothing about causality. Whether or not one achieves such tight redescription is a separate issue from establishing causal claims, as there are many challenges even when the conditions for reversibility are thought to be highly characterized and reliable. For example, see the discussion on challenges to causal claims in optogenetics by Jazayeri and Afraz (2017).

  5. Van Campen notes Proust’s influence on neuroscience, citing Bogousslavsky’s scholarship that Proust came from a family of doctors and was friends with many neurologists (Campen 2014, p. 47).

  6. Computer-assisted video tracking and supervised learning are changing these numbers by measuring the micromovements of flies, not just their usual walking (Geissmann et al. 2019).

  7. I note how this notion of experience captures the more complex relationship between the empirical and normative as well: eight hours/night might be a prescription cultivated by social, labor practices, but human experience that one needs this amount to function well can also arise from a belief about what science has told us about sleep. For more, see Gavriloff et al. (2018).

  8. Consider this passage, that mutant Drosophila sleep metrics, “should also consider ongoing changes in behavioral responsiveness and sleep intensity, in order to fully capture sleep functions in different strains. For example, a long-sleeping fly may be sleeping lightly, or a short sleeping fly might be sleeping deeply; activity monitors and simple webcam interfaces cannot distinguish between these possibilities” (Faville et al. 2015, p. 1).

  9. Consider our knowledge of the difference between a bout of insomnia and being endlessly stimulated. The consequent lack of sleep could be measurable and identical by duration; the experiences would not be. But it is our own lived experience that guides the criteria we set to distinguish the two.

  10. In the Afonso et al. study, referring to sleep that is seen to be in tune with human sleep actively plays a role in the conclusions researchers draw about the roles of TARA and CycA, which later allows them to claim that there is a “network of cell-cycle genes in sleep regulation” (Afonso et al. 2015, p. 1724).

  11. Examples include deciding the appropriate humidity and temperature of the fly room, when to age match flies, how to time and regulate light exposure, and so on.

  12. Paul Feyerabend also captures the failures of empiricism with respect to many ways persons can come to know science at the stages of testing, assimilating the results of a test, and understanding of theories (he mentions subliminal perception, latent learning, and posthypnotic suggestion, among others); however, he equates experience with sensory experience as opposed to working with an expanded notion as I have done here (Feyerabend 1969).

  13. For example, imagine deciding when two tasks measure the same capacity: “we appeal to the sameness of underlying mechanisms, but sameness of underlying mechanisms depends on sameness of capacity, and judgments of the latter depend, as we have argued, upon how capacities are operationalized in tasks” (Francken et al 2022, p. 10).

References

  • Afonso DJ, Liu D, Machado DR, Pan H, Jepson JE, Rogulja D, Koh K (2015) TARANIS functions with cyclin a and Cdk1 in a novel arousal center to control sleep in Drosophila. Curr Biol 25(13):1717–1726

    Article  Google Scholar 

  • Ankeny RA (2007) Wormy logic: model organisms as case-based reasoning. In: Lunbeck E, Wise MN (eds) Science without laws: model systems, cases, exemplary narratives. Duke University Press, Durham, pp 46–58

    Google Scholar 

  • Ankeny RA, Leonelli S (2020) Model organisms. Cambridge University Press, Cambridge

    Book  Google Scholar 

  • Atanasova NA (2015) Validating animal models. Theori 30(2):163–181

    Article  Google Scholar 

  • Barber TX (1976) Pitfalls in human research. Pergamon Press, New York

    Google Scholar 

  • Bartholow BD (2018) The aggressive brain: insights from neuroscience. Curr Opin Psychol 19:60–64

    Article  Google Scholar 

  • Beloate LN, Weems PW, Casey GR, Webb IC, Coolen LM (2016) Nucleus accumbens NMDA receptor activation regulates amphetamine cross-sensitization and DeltaFosB expression following sexual experience in male rats. Neuropharmacology 101(February):154–164

    Article  Google Scholar 

  • Berry JA, Cervantes-Sandoval I, Chakraborty M, Davis RL (2015) Sleep facilitates memory by blocking dopamine neuron-mediated forgetting. Cell 161(7):1656–1667

    Article  Google Scholar 

  • Bickle J (2003) Philosophy and neuroscience: a ruthlessly reductive account. Springer Science & Business Media, Dordrecht

    Book  Google Scholar 

  • Bickle J (2016) Revolutions in neuroscience: tool development. Front Syst Neurosci 10:24

    Article  Google Scholar 

  • Campbell SS, Tobler I (1984) Animal sleep: a review of sleep duration across phylogeny. Neurosci Biobehav Rev 8:269–300

    Article  Google Scholar 

  • Chang H (2005) A case for old-fashioned observability, and a reconstructed constructive empiricism. Philos Sci 72(5):876–887

    Article  Google Scholar 

  • Churchland PS (1989) Neurophilosophy: toward a unified science of the mind-brain. MIT Press, Cambridge

    Book  Google Scholar 

  • Cirelli C (2009) The genetic and molecular regulation of sleep: from fruit flies to humans. Nat Rev Neurosci 10(8):549–560. https://doi.org/10.1038/nrn2683

    Article  Google Scholar 

  • Colaço D, Robins S (2023) Why have “revolutionary” tools found purchase in memory science? Philos Mind Sci. https://doi.org/10.33735/phimisci.2023.10499

    Article  Google Scholar 

  • Dewhurst J, Burr C (2020) Normative folk psychology and decision theory. Mind Lang 37(4):525–542

    Article  Google Scholar 

  • Dickens C (1841) Barnaby Rudge: a tale of the riots of ‘eighty.’ Chapman & Hall, London

    Google Scholar 

  • Dietrich MR, Ankeny RA, Crowe N, Green S, Leonelli S (2020) How to choose your research organism. Stud Hist Philos Sci Part C 80:101227

    Google Scholar 

  • Dissel S, Melnattur K, Shaw PJ (2015) Sleep, performance, and memory in flies. Curr Sleep Med Rep 1:47–54

    Article  Google Scholar 

  • Ekirch A (2015) The modernization of western sleep: or, does insomnia have a history? Past Present 226:149–192

    Article  Google Scholar 

  • Faville R, Kottler B, Goodhill G, Shaw PJ, van Swinderen B (2015) How deeply does your mutant sleep? Probing arousal to better understand sleep defects in Drosophila. Sci Rep 5:8454

    Article  Google Scholar 

  • Feest U (2005) Operationism in psychology: what the debate is about, what the debate should be about. J Hist Behav Sci 41(2):131–149

    Article  Google Scholar 

  • Feyerabend PK (1969) Science without experience. J Philos 66(22):791–794

    Article  Google Scholar 

  • Francken JC, Slors M, Craver CF (2022) Cognitive ontology and the search for neural mechanisms: three foundational problems. Synthese 200(5):378

    Article  Google Scholar 

  • Franken P, Dijk DJ (2009) Circadian clock genes and sleep homeostasis. Eur J Neurosci 29:1820–1829

    Article  Google Scholar 

  • Gallagher S (1997) Mutual enlightenment: recent phenomenology in cognitive science. J Conscious Stud 4(3):195–214

    Google Scholar 

  • Gardner JL (2015) A case for human systems neuroscience. Neuroscience 296:130–137

    Article  Google Scholar 

  • Gavriloff D, Sheaves B, Juss A, Espie CA, Miller CB, Kyle SD (2018) Sham sleep feedback delivered via actigraphy biases daytime symptom reports in people with insomnia: implications for insomnia disorder and wearable devices. J Sleep Res 27(6):e12726

    Article  Google Scholar 

  • Geissmann Q, Beckwith EJ, Gilestro GF (2019) Most sleep does not serve a vital function: evidence from Drosophila melanogaster. Sci Adv 5(2):9253

    Article  Google Scholar 

  • Hacking I (1983) Representing and intervening. Cambridge University Press, Cambridge

    Book  Google Scholar 

  • Hanson NR (1958) Patterns of discovery. Cambridge University Press, Cambridge

    Google Scholar 

  • Harbison ST, Carbone MA, Ayroles JF, Stone EA, Lyman RF et al (2009a) Co-regulated transcriptional networks contribute to natural genetic variation in Drosophila sleep. Nat Genet 41:371–375

    Article  Google Scholar 

  • Harbison ST, Mackay TFC, Anholt RRH (2009b) Understanding the neurogenetics of sleep: progress from Drosophila. Trends Genet 25(6):262–269

    Article  Google Scholar 

  • Hendricks JC, Finn SM, Panckeri KA, Chavkin J, Williams JA, Sehgal A, Pack AI (2000) Rest in Drosophila is a sleep-like state. Neuron 2000(25):129–138

    Article  Google Scholar 

  • Hochstein E (2016) Categorizing the mental. Philos Q 66(265):745–759

    Article  Google Scholar 

  • Hochstein E (2019) How metaphysical commitments shape the study of psychological mechanisms. Theory Psychol 29(5):579–600

    Article  Google Scholar 

  • Husserl E (1970) The crisis of European sciences and transcendental phenomenology: an introduction to phenomenological philosophy (trans: Carr D). Northwestern University studies in phenomenology & existential philosophy. Northwestern University Press, Evanston

    Google Scholar 

  • Jackson M, Banks S (2018) Humans used to sleep in two shifts, and maybe we should do it again. ScienceAlert. https://www.sciencealert.com/humans-used-to-sleep-in-two-shifts-maybe-we-should-again

  • Jazayeri M, Afraz A (2017) Navigating the neural space in search of the neural code. Neuron 93:1003–1014

    Article  Google Scholar 

  • Joiner WJ (2016) Unraveling the evolutionary determinants of sleep. Curr Biol. https://doi.org/10.1016/j.cub.2016.08.068

    Article  Google Scholar 

  • Kandel ER, Schwartz JH, Jessell TM, Siegelbaum SA, Hudspeth AJ (2014) Principles of neural science, 5th edn. McGraw-Hill Education, New York

    Google Scholar 

  • Kohler RE (1994) Lords of the fly: Drosophila genetics and the experimental life. University of Chicago Press, Chicago

    Google Scholar 

  • Krakauer JW, Ghazanfar AA, Gomez-Marin A, MacIver MA, Poeppel D (2017) Neuroscience needs behavior: correcting a reductionist bias. Neuron 93(3):480–490

    Article  Google Scholar 

  • Kuiper LB, Frohmader KS, Coolen LM (2017) Maladaptive sexual behavior following concurrent methamphetamine and sexual experience in male rats is associated with altered neural activity in frontal cortex. Neuropsychopharmacology 42(10):2011–2020

    Article  Google Scholar 

  • Lehrer J (2007) Proust was a neuroscientist. Houghton Mifflin, New York

    Google Scholar 

  • Liu S, Liu Q, Tabuchi M, Wu MN (2016) Sleep drive is encoded by neural plastic changes in a dedicated circuit. Cell 165(6):1347–1360

    Article  Google Scholar 

  • Ly S, Pack AI, Naidoo N (2018) The neurobiological basis of sleep: insights from Drosophila. Neurosci Biobehav Rev 87(April):67–86

    Article  Google Scholar 

  • Ma C, Zhong P, Liu D, Barger ZK, Zhou L, Chang WC, Kim B, Dan Y (2019) Sleep regulation by neurotensinergic neurons in a thalamo-amygdala circuit. Neuron 103:323-334.e7

    Article  Google Scholar 

  • McCormick DA, Bal T (1997) Sleep and arousal: thalamocortical mechanisms. Annu Rev Neurosci 20:185–215

    Article  Google Scholar 

  • McGeer V (2007) The regulative dimension of folk psychology. In: Hutto M, Ratcliffe D (eds) Folk psychology re-assessed. Springer, Netherlands, Dordrecht, pp 137–156

    Chapter  Google Scholar 

  • Nelson N (2018) Model behavior. University of Chicago Press, Chicago

    Book  Google Scholar 

  • Palma JA, Urrestarazu E, Iriarte J (2013) Sleep loss as risk factor for neurologic disorders: a review. Sleep Med 14:229–236

    Article  Google Scholar 

  • Proust M (2006) Remembrance of things past (trans: Scott Moncrieff CK). Wordsworth Editions Limited, London

  • Raizen DM, Zimmerman JE, Maycock MH, Ta UD, You Y-J, Sundaram MV, Pack AI (2008) Lethargus is a Caenorhabditis elegans sleeplike state. Nature 451:569–572

    Article  Google Scholar 

  • Ratcliffe M (2013) Phenomenology, naturalism and the sense of reality. Royal Institute Philos Suppl 72:67–88

    Article  Google Scholar 

  • Rheinberger H (1997) Toward a history of epistemic things: synthesizing proteins in the test tube. Stanford University Press, Stanford

    Google Scholar 

  • Rosenthal R, Fode KL (1963) The effect of experimenter bias on the performance of the albino rat. Behav Sci 8(3):183–189

    Article  Google Scholar 

  • Rosenthal R, Rubin DB (1978) Interpersonal expectancy effects: the first 345 studies. Behav Brain Sci 1(3):377–386

    Article  Google Scholar 

  • Saper CB, Scammell TE, Lu J (2005) Hypothalamic regulation of sleep and circadian rhythms. Nature 437:1257–1263

    Article  Google Scholar 

  • Sehgal A, Mignot E (2011) Genetics of sleep and sleep disorders. Cell 146:194–207

    Article  Google Scholar 

  • Shaw PJ, Cirelli C, Greenspan RJ, Tononi G (2000) Correlates of sleep and waking in Drosophila melanogaster. Science 287(5459):1834–1837

    Article  Google Scholar 

  • Sullivan JA (2010) Reconsidering ‘spatial memory’ and the Morris water maze. Synthese 177:261–283

    Article  Google Scholar 

  • Tataroglu O, Emery P (2014) Studying circadian rhythms in Drosophila melanogaster. Methods 68(1):140–150

    Article  Google Scholar 

  • Thompson E (2015) Dreamless sleep, the embodied mind, and consciousness - the relevance of a classical Indian debate to cognitive science. In: Metzinger T, Windt JM (eds) Open MIND: 37(T). MIND Group, Frankfurt am Main

    Google Scholar 

  • Vaccaro A, Kaplan Dor Y, Nambara K, Pollina EA, Lin C, Greenberg ME, Rogulja D (2020) Sleep loss can cause death through accumulation of reactive oxygen species in the gut. Cell 181(6):1307–1328.e15 

    Article  Google Scholar 

  • van Campen C (2014) The Proust effect: the senses as doorways to lost memories. Oxford University Press, Oxford

    Book  Google Scholar 

  • Windt JM, Nielsen T, Thompson E (2016) Does consciousness disappear in dreamless sleep? Trends Cogn Sci 20(12):871–882

    Article  Google Scholar 

  • Xu M, Chung S, Zhang S et al (2015) Basal forebrain circuit for sleep-wake control. Nat Neurosci 18:1641–1647

    Article  Google Scholar 

  • Yartsev MM (2017) The emperor’s new wardrobe: rebalancing diversity of animal models in neuroscience research. Science 358(6362):466–469

    Article  Google Scholar 

  • Zhang SX, Miner LE, Boutros CL, Rogulja D, Crickmore MA (2018) Motivation, perception, and chance converge to make a binary decision. Neuron 99:376–388

    Article  Google Scholar 

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Acknowledgments

I am incredibly grateful to Mazviita Chirimuuta, Colin Allen, Michael Dietrich, Jim Woodward, John Morrison, Evan Pence, Morgan Thompson, John Bickle, Jo Anne Fordham, Mahi Hardalupas, Annika Froese, Dasha Pruss, Rose Novick, Vivian Feldblyum, Nuhu Osman Attah, William Conner, and Yosef Kaplan Dor for providing invaluable comments and discussion at different stages and over many revisions. Thank you as well to the audience of the Philosophy of Neuroscience at the Gulf IV, where part of this work was presented. A special thanks goes to Dragana Rogulja and Alexandra Vaccaro for creating a space for me to work within the Rogulja Lab, where I was introduced to fly sleep research. Finally, my sincere thanks to the several anonymous reviewers whose helpful suggestions greatly improved this work.

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Correspondence to Nedah Nemati.

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Nemati, N. Rethinking Neuroscientific Methodology: Lived Experience in Behavioral Studies. Biol Theory (2024). https://doi.org/10.1007/s13752-024-00460-w

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