Avoid or seek light - a randomized crossover fMRI study investigating opposing treatment strategies for photophobia in migraine

Eva Matt, Tuna Aslan, Ahmad Amini, Kardelen Sariçiçek, Stefan Seidel, Paul Martin, Christian Wöber, Roland Beisteiner, Eva Matt, Tuna Aslan, Ahmad Amini, Kardelen Sariçiçek, Stefan Seidel, Paul Martin, Christian Wöber, Roland Beisteiner

Abstract

Background: Photophobia, the aberrantly increased sensitivity to light, is a common symptom in migraine patients and light discomfort is frequently found as a trigger for migraine attacks. In behavioral studies, planned exposure to light was found to reduce headache in migraine patients with photophobia, potentially by increasing habituation to this migraine trigger. Here, we aimed to elucidate neurophysiological mechanisms of light exposure versus light deprivation in migraine patients using functional magnetic resonance imaging (fMRI).

Methods: Ten migraine patients (9 female, age = 28.70 ± 8.18 years) and 11 healthy controls (9 female, age = 23.73 ± 2.24 years) spent one hour on 7 consecutive days exposed to flashing light (Flash) or darkness (Dark) using a crossover design with a wash-out period of 3 months. Study participants kept a diary including items on interictal and ictal photophobia, presence and severity of headache 7 days before, during and 7 days after the interventions. One week before and one day after both interventions, fMRI using flickering light in a block design was applied. Functional activation was analyzed at whole-brain level and habituation of the visual cortex (V1) was modeled with the initial amplitude estimate and the corrected habituation slope.

Results: Mean interictal photophobia decreased after both interventions, but differences relative to the baseline did not survive correction for multiple comparisons. At baseline, flickering light induced activation in V1 was higher in the patients compared to the controls, but activation normalized after the Flash and the Dark interventions. V1 habituation indices correlated with headache frequency, headache severity and ictal photophobia. In the Flash condition, the individual change of headache frequency relative to the baseline corresponded almost perfectly to the change of the habituation slope compared to the baseline.

Conclusions: On average, light exposure did not lead to symptom relief, potentially due to the short duration of the intervention and the high variability of the patients' responses to the intervention. However, the strong relationship between visual cortex habituation and headache symptoms and its modulation by light exposure might shed light on the neurophysiological basis of exposure treatment effects.

Trial registration: NCT05369910 (05/06/2022, retrospectively registered).

Keywords: Functional magnetic resonance imaging; Habituation; Headache; Migraine; Photophobia.

Conflict of interest statement

The authors declare that they have no competing interests.

© 2022. The Author(s).

Figures

Fig. 1
Fig. 1
Individual habituation curves in the primary visual cortex (V1), illustrated for patient P07. Visual activation was induced by a flickering light task (10 runs, block design, FWE-corr. 0.05, activation displayed in red to yellow). Mean beta values within the V1 region of interest (blue) were extracted for each run and linearized using the natural log transform, resulting in uncorrected individual habituation curves per session
Fig. 2
Fig. 2
Mean interictal photophobia (a) and mean headache frequency (b) at baseline, during the intervention (Flash or Dark) and post intervention, plotted for all patients (P01-P10) individually. Interictal photophobia scores dropped after the Flash and after the Dark intervention in most of the patients. Regarding headache frequency, individual responses to the interventions were heterogenous but returned to baseline levels after the interventions
Fig. 3
Fig. 3
Functional activation induced by flickering light in patients and controls at baseline, and after Flash and Dark intervention, contrasted to the baseline (FWE 0.05 corr., cluster threshold = 10). At baseline, patients display higher activation in the primary visual cortex than controls. When contrasting Flash vs. baseline, patients show higher activation in the bilateral anterior insula compared to controls, while no difference was found for the contrast Dark vs. baseline
Fig. 4
Fig. 4
Initial activation amplitude (a) and corrected habituation slope (b’) in the patients and controls for the baseline, Flash and Dark intervention. Patients exhibited a significantly higher initial activation amplitude at baseline compared to Flash and Dark
Fig. 5
Fig. 5
Correlations between primary visual cortex (V1) activation habituation estimates and diary variables in the patients. The initial amplitude was significantly correlated with headache severity and ictal photophobia, while the corrected habituation slope was significantly correlated with headache frequency and severity, and with ictal photophobia
Fig. 6
Fig. 6
Corrected habituation slope (b’) for the primary visual cortex (V1) in all migraine patients individually. In the Flash condition, an increased habituation slope was found in 6 patients (P01, P02, P05, P06, P08, P10) and a decrease in 4 patients (P03, P04, P07, P09) compared to the baseline. In the Dark condition, 6 patients showed an increased b’ (P01, P03, P05, P08, P09, P10) and 4 a declined b’ (P02, P04, P06, P07) relative to the baseline

References

    1. Vanagaite J, Pareja JA, Støren O, et al. Light-induced discomfort and pain in migraine. Cephalalgia. 1997;17:733–741. doi: 10.1046/j.1468-2982.1997.1707733.x.
    1. Giffin NJ, Ruggiero L, Lipton RB, et al. Premonitory symptoms in migraine: an electronic diary study. Neurology. 2003;60:935–940. doi: 10.1212/01.wnl.0000052998.58526.a9.
    1. Wöber-Bingöl C, Wöber C, Karwautz A, et al. Clinical features of migraine: a cross-sectional study in patients aged three to sixty-nine. Cephalalgia. 2004;24:12–17. doi: 10.1111/j.1468-2982.2004.00621.x.
    1. Seidel S, Beisteiner R, Manecke M, et al. Psychiatric comorbidities and photophobia in patients with migraine. J Headache Pain. 2017;18:18. doi: 10.1186/s10194-017-0718-1.
    1. Artemenko AR, Filatova E, Vorobyeva YD, et al. Migraine and light: A narrative review. Headache. 2022;62:4–10. doi: 10.1111/head.14250.
    1. Martin PR. Behavioral management of migraine headache triggers: learning to cope with triggers. Curr Pain Headache Rep. 2010;14:221–227. doi: 10.1007/s11916-010-0112-z.
    1. Martin PR, MacLeod C. Behavioral management of headache triggers: Avoidance of triggers is an inadequate strategy. Clin Psychol Rev. 2009;29:483–495. doi: 10.1016/j.cpr.2009.05.002.
    1. Philips HC, Jahanshahi M. Chronic pain: an experimental analysis of the effects of exposure. Behav Res Ther. 1985;23:281–290. doi: 10.1016/0005-7967(85)90006-3.
    1. Martin PR, Reece J, Forsyth M. Noise as a trigger for headaches: relationship between exposure and sensitivity. Headache. 2006;46:962–972. doi: 10.1111/j.1526-4610.2006.00468.x.
    1. Martin PR. Headache triggers: To avoid or not to avoid, that is the question. Psychol Health. 2000;15:801–809. doi: 10.1080/08870440008405582.
    1. Martin PR. How do trigger factors acquire the capacity to precipitate headaches? Behav Res Ther. 2001;39:545–554. doi: 10.1016/s0005-7967(00)00032-2.
    1. Martin PR, Lae L, Reece J. Stress as a trigger for headaches: relationship between exposure and sensitivity. Anxiety Stress Coping. 2007;20:393–407. doi: 10.1080/10615800701628843.
    1. Martin PR, Reece J, Callan M, et al. Behavioral management of the triggers of recurrent headache: a randomized controlled trial. Behav Res Ther. 2014;61:1–11. doi: 10.1016/j.brat.2014.07.002.
    1. Martin PR, Callan M, Kaur A, Gregg K. Behavioural Management of Headache Triggers: Three Case Examples Illustrating a New Effective Approach (Learning to Cope with Triggers) Behav Chang. 2015;32:202–208. doi: 10.1017/bec.2015.8.
    1. Martin PR, Reece J, MacKenzie S, et al. Integrating headache trigger management strategies into cognitive-behavioral therapy: A randomized controlled trial. Heal Psychol Off J Div Heal Psychol Am Psychol Assoc. 2021;40:674–685. doi: 10.1037/hea0001115.
    1. Coppola G, Di Lorenzo C, Schoenen J, Pierelli F. Habituation and sensitization in primary headaches. J Headache Pain. 2013;14:65. doi: 10.1186/1129-2377-14-65.
    1. McFarquhar M. Modeling Group-Level Repeated Measurements of Neuroimaging Data Using the Univariate General Linear Model. Front Neurosci. 2019;13:352. doi: 10.3389/fnins.2019.00352.
    1. Eickhoff SB, Stephan KE, Mohlberg H, et al. A new SPM toolbox for combining probabilistic cytoarchitectonic maps and functional imaging data. Neuroimage. 2005;25:1325–1335. doi: 10.1016/j.neuroimage.2004.12.034.
    1. Plichta MM, Grimm O, Morgen K, et al. Amygdala habituation: a reliable fMRI phenotype. Neuroimage. 2014;103:383–390. doi: 10.1016/j.neuroimage.2014.09.059.
    1. Avery SN, McHugo M, Armstrong K, et al. Stable habituation deficits in the early stage of psychosis: a 2-year follow-up study. Transl Psychiatry. 2021;11:20. doi: 10.1038/s41398-020-01167-9.
    1. Montagu JD. Habituation of the psycho-galvanic reflex during serial tests. J Psychosom Res. 1963;7:199–214. doi: 10.1016/0022-3999(63)90004-7.
    1. Vetvik KG, MacGregor EA. Menstrual migraine: a distinct disorder needing greater recognition. Lancet Neurol. 2021;20:304–315. doi: 10.1016/S1474-4422(20)30482-8.
    1. Martin PR, Milech D, Nathan PR. Towards a functional model of chronic headaches: investigation of antecedents and consequences. Headache. 1993;33:461–470. doi: 10.1111/j.1526-4610.1993.hed3309461.x.
    1. Schwedt TJ, Chong CD. Functional imaging and migraine: new connections? Curr Opin Neurol. 2015;28:265–270. doi: 10.1097/WCO.0000000000000194.
    1. Picó-Pérez M, Radua J, Steward T, et al. Emotion regulation in mood and anxiety disorders: A meta-analysis of fMRI cognitive reappraisal studies. Prog Neuro-Psychopharmacology Biol Psychiatry. 2017;79:96–104. doi: 10.1016/j.pnpbp.2017.06.001.
    1. Kong J, Jensen K, Loiotile R, et al. Functional connectivity of the frontoparietal network predicts cognitive modulation of pain. Pain. 2013;154:459–467. doi: 10.1016/j.pain.2012.12.004.
    1. Uddin LQ, Nomi JS, Hébert-Seropian B, et al. Structure and Function of the Human Insula. J Clin Neurophysiol Off Publ Am Electroencephalogr Soc. 2017;34:300–306. doi: 10.1097/WNP.0000000000000377.
    1. Xu A, Larsen B, Baller EB, et al. Convergent neural representations of experimentally-induced acute pain in healthy volunteers: A large-scale fMRI meta-analysis. Neurosci Biobehav Rev. 2020;112:300–323. doi: 10.1016/j.neubiorev.2020.01.004.
    1. Puledda F, Ffytche D, O’Daly O, Goadsby PJ. Imaging the Visual Network in the Migraine Spectrum. Front Neurol. 2019;10:1325. doi: 10.3389/fneur.2019.01325.
    1. Zhang D, Huang X, Su W, et al. Altered lateral geniculate nucleus functional connectivity in migraine without aura: a resting-state functional MRI study. J Headache Pain. 2020;21:17. doi: 10.1186/s10194-020-01086-6.
    1. Aurora SK, Brin MF. Chronic Migraine: An Update on Physiology, Imaging, and the Mechanism of Action of Two Available Pharmacologic Therapies. Headache. 2017;57:109–125. doi: 10.1111/head.12999.

Source: PubMed

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