NPBR-115; No. of Pages 5 neurology, psychiatry and brain research xxx (2013) xxx–xxx Available online at www.sciencedirect.com journal homepage: www.elsevier.com/locate/npbr Short-term cued visual stimuli recall in relation to breathing phase Matevz Leskovsek a,*, Ajda Skarlovnik b, Gašper Derganc a,b,c, Nika Pušenjak c a BreathingLabs.com, Zdrav dih d.o.o., Mesarska cesta 26, 1000 Ljubljana, Slovenia University Clinical Centre of Ljubljana, Zaloška 4, 1000 Ljubljana, Slovenia c Interdisciplinary Research Group Larus Inventa d.o.o., Vojkova 63, 1000 Ljubljana, Slovenia b article info abstract Article history: In this research, we observe volunteer's ability to recall visual stimuli in relation to their Received 16 January 2013 breathing phase at the time of presentation of those stimuli. To assess the ability to recall Received in revised form visual stimuli, we have exposed volunteers to a short term cued visual recall task; a cued 27 May 2013 Brown–Peterson task. We observe that the ability to recall visual stimuli does not noticeably Accepted 4 July 2013 relate to inspiration/expiration phasing (4.2% bias), but that it more noticeably relates to volume of air in lungs measured as expansion of abdomen (10.2% bias). We propose that this observation could potentially suggest that humans are more susceptible to memorizing new stimuli when there is less air in their lungs; i.e. after they have sufficiently exhaled by sighing, yawning, or vocally expressing what's on their mind. As soon as new inhalation Keywords: occurs, another fight or flight response is initiated, and their susceptibility to new information Respiration is reduced. © 2013 Elsevier GmbH. All rights reserved. Breathing Visual recall Visual memory 1. Introduction Magnetic resonance imaging studies have shown that respiration consistently affects brain activity [1–8]. It can thus be assumed that communication in humans is prone to the recipient's breathing phase; i.e. the relative position in their breathing cycle. Communication is also heavily dependent on the process of memory formation, which is a complex process that involves mechanisms of ion exchange (presynaptic Ca2+ pump and synaptic K+/Na+ pump), mechanisms of classical conditioning, and various potentiation mechanisms such as repetition, synaptic augmentation, and post-tetanic potentiation [9–14]. We hypothesize that breathing interacts with this process of memory formation, which is being most prominent in panic and anxiety disorders, where breathing is rapid and intense [15–18]. Furthermore oxygen administration has consistently shown an enhancement in memory performance [19–21], which implies some causality between the process of respiration and the process of memory formation. Brown–Peterson task is a method of evaluating short-term memory [22–24]. Its name refers to two studies published in the late 1950s that used similar procedures; one in 1958 by Brown [25] and a second in 1959 by Lloyd and Margaret Peterson [26]. The objective of this research is to observe whether breathing noticeably affects short-term visual stimuli memory formation in healthy adults. 2. Materials and methods Ten healthy volunteers (6 females, 4 males) in an active period of life (students and employees) between 26 and 40 years of age * Corresponding author. Tel.: +386 31380511. E-mail addresses: [email protected], [email protected] (M. Leskovsek). 0941-9500/$ – see front matter © 2013 Elsevier GmbH. All rights reserved. http://dx.doi.org/10.1016/j.npbr.2013.07.001 Please cite this article in press as: Leskovsek M, et al. Short-term cued visual stimuli recall in relation to breathing phase. Neurol Psychiatry Brain Res (2013), http://dx.doi.org/10.1016/j.npbr.2013.07.001 NPBR-115; No. of Pages 5 2 neurology, psychiatry and brain research xxx (2013) xxx–xxx Fig. 1 – Screenshot of a trigram as shown on computer display. participated in a memory evaluation trial. Volunteers were exposed to visual presentation of trigrams while their breathing was recorded using a sensor measuring expansion of abdomen (stomach). The duration of the presentation was 50 s with a frequency of one trigram per second. A trigram is a set of three consonant letters (for example, TDW) that has little or no meaning. Trigrams have no vowels, preventing their easy pronunciation, which makes it more difficult for volunteers to create vocal cues to help memorize them better. As trigrams are equal in length, the experiment is less biased in terms of the information it requires participants to remember. Trigrams were randomized for each volunteer. Trigrams were displayed on a computer display (Fig. 1) by a simple jRuby script (Fig. 2). Jruby is a variation of the Ruby programming language that runs on the Java Virtual Machine. Approximately 30 s after being exposed to trigrams, volunteers were asked to recall those 50 trigrams and were offered 2 min to identify them amongst 150 trigrams. 3. Results The following 12 charts (Fig. 3) represent the raw data of breathing activity and trigrams of the first volunteer. Trigrams presentation started at time 0:00:20 (20 s). Correctly recalled trigrams are marked with **. In order to determine the segments of inspiration and expiration, we fitted the raw data with a 6th order polynomial curve. Segments of inspiration and expiration were then identified by observing this polynomial's trend (Fig. 4). The following chart is a data summary of all 10 volunteers where recalled trigrams are plotted in relation to abdominal expansion and in relation to their inspiratory/expiratory phasing (Fig. 5). Sixty-seven correctly recalled trigrams occurred during expiration and seventy-three correctly recalled trigrams occurred during inspiration, resulting in a 4.2% bias. We therefore do not report any significant differences related to cued recall of trigrams being perceived during expiration or inspiration respectively. Fig. 2 – jRuby script used for trigram presentation. The mean value of abdominal expansion of positively recalled trigrams was 6146.38 mm, the mean value of minimum to maximum abdominal expansion in all ten volunteers was 7648.21, resulting in a 10.2% bias toward lower abdominal expansion. Therefore, those trigrams that were perceived at lower abdominal expansion were recalled with greater success. 4. Discussion Polynomial fitting eliminates high-frequency activity of raw data recordings and preserves the rough dynamics of a curve. This method thus seems like a viable approach for expiration/ inspiration phase assessment. However, polynomial fitting introduces some deviation from raw data recordings (see Fig. 4) and we believe it could potentially be better fitted with splines. Because some trigrams resembled some known acronyms we hypothesize that volunteers were able to memorize them better. This represents a potential drawback of using trigrams in such a cued visual stimuli recall experiment; however, we believe that it would be difficult to find visual stimuli that Please cite this article in press as: Leskovsek M, et al. Short-term cued visual stimuli recall in relation to breathing phase. Neurol Psychiatry Brain Res (2013), http://dx.doi.org/10.1016/j.npbr.2013.07.001 NPBR-115; No. of Pages 5 neurology, psychiatry and brain research xxx (2013) xxx–xxx 3 Fig. 3 – Raw data of breathing activity and trigrams of first volunteer. Trigrams presentation started at time 0:00:20 (20 s). Correctly recalled trigrams are marked with **. would not trigger any associations simply because various people have various associations. In this research, the expansion of the abdomen was used as a prediction of volume of inhaled air. It is important to understand that any volunteer's shallow or chest breathing would reduce the dynamic range of such predicted volume and would therefore distort the ratio between visual stimuli recall and subject's breathing. In this experiment, we did not observe such shallow or chest breathing. We suppose that in such a cued recall memory session it would be appropriate to take into account the possibility that volunteers' attention during stimuli presentation varies with Fig. 4 – Polynomial fitting and breathing phase assessment (in = inspiration, ex = expiration) and success of trigram recall (0 = no recall, 1 = correct recall). Please cite this article in press as: Leskovsek M, et al. Short-term cued visual stimuli recall in relation to breathing phase. Neurol Psychiatry Brain Res (2013), http://dx.doi.org/10.1016/j.npbr.2013.07.001 NPBR-115; No. of Pages 5 4 neurology, psychiatry and brain research xxx (2013) xxx–xxx references Fig. 5 – Data summary of all 10 volunteers where recalled trigrams are plotted in dependency of abdominal expansion in micrometers (ordinate axis), time of trigrams presentation (abscissa axis) and according to their inspiratory/expiratory phasing (blue = inspiration, red = expiration). (For interpretation of the references to color in this figure legend, the reader is referred to the web version of this article.) time, such as attention being greater at the beginning, as can also be observed in our data in Fig. 5. Such modulation of attention should be treated accordingly, such as ignoring the beginning of recording, where attention is presumably higher. Although memory formation has shown to be consistently affected by administration of oxygen [19–21] we observe that relative position in ones breathing cycle might also play some role in this process. However, the sample in this research includes only ten healthy adults ranging in age from 26 to 40. Such a sample profile prevents the generalization of the results and so is not yet suitable to provide safe conclusions regarding correlation between cued short-term memory recall and breathing phase in humans. This research could potentially suggest that humans are more receptive to processing new information when there is less air in their lungs. Such dynamics can easily be observed in human communication – a recipient is most receptive to new information after they have sufficiently exhaled, for example after sighing, yawning or having vocally expressed what is on their mind. As soon as new inhalation occurs, another fight or flight response is initiated, and their susceptibility to new information is reduced. In this research, we observed volunteer's ability to recall visual stimuli in relation to their breathing phase at time of presentation of those stimuli measured as expansion of their abdomen. Conflict of interest Matevz Leskovsek is a partner at BreathingLabs.Com (Zdrav dih d.o.o.), a company that produces human computer interfaces for breathing exercises, breathing games, and breathing entertainment. Other authors declare no competing interests. [1]. Birn RM, Diamond JB, Smith MA, Bandettini PA. Separating respiratory-variation-related fluctuations from neuronalactivity-related fluctuations in fMRI. NeuroImage 2006;31(July (4)):1536–48. [2]. Birn RM, Smith MA, Jones TB, Bandettini PA. The respiration response function: the temporal dynamics of fMRI signal fluctuations related to changes in respiration. NeuroImage 2008;40(April (2)):644–54. [3]. Brosch JR, Talavage TM, Ulmer JL, Nyenhuis JA. Simulation of human respiration in fMRI with a mechanical model. IEEE Transactions on Biomedical Engineering 2002;49(July (7)):700–7. [4]. Chang C, Glover GH. Relationship between respiration, end-tidal CO2, and BOLD signals in resting-state fMRI. NeuroImage 2009;47(October (4)):1381–93. [5]. Evans KC, Dougherty DD, Schmid AM, Scannell E, McCallister A, Benson H, et al. Modulation of spontaneous breathing via limbic/paralimbic-bulbar circuitry: an eventrelated fMRI study. NeuroImage 2009;47(September (3)):961–71. [6]. Frank LR, Buxton RB, Wong EC. Estimation of respirationinduced noise fluctuations from undersampled multislice fMRI data. Magnetic Resonance in Medicine 2001;45(4):635–44. [7]. Koritnik B, Azam S, Andrew CM, Leigh PN, Williams SCR. Imaging the brain during sniffing: a pilot fMRI study. Pulmonary Pharmacology & Therapeutics 2009;22(April (2)):97– 101. [8]. Lund TE, Madsen KH, Sidaros K, Luo W-L, Nichols TE. Nonwhite noise in fMRI: does modelling have an impact? NeuroImage 2006;29(January (1)):54–66. [9]. Holtmaat A, Svoboda K. Experience-dependent structural synaptic plasticity in the mammalian brain. Nature Reviews Neuroscience 2009;10(9):647–58. [10]. Bliss TV, Collingridge GL, others. A synaptic model of memory: long-term potentiation in the hippocampus. Nature 1993;361(6407):31–9. [11]. Whitlock JR, Heynen AJ, Shuler MG, Bear MF. Learning induces long-term potentiation in the hippocampus. Science 2006;313(5790):1093. [12]. Joëls M, Pu Z, Wiegert O, Oitzl MS, Krugers HJ. Learning under stress: how does it work? Trends in Cognitive Sciences 2006;10(4):152–8. [13]. Neves G, Cooke SF, Bliss TV. Synaptic plasticity, memory and the hippocampus: a neural network approach to causality. Nature Reviews Neuroscience 2008;9(1):65–75. [14]. Straughan JH, Dufort WH. Task difficulty, relaxation, and anxiety level during verbal learning and recall. Journal of Abnormal Psychology 1969;74(5):621–4. [15]. Anderson B, Ley R. Dyspnea during panic attacks. Modification 2001;25(4):546–54. [16]. Ley R. The modification of breathing behavior. Behavior Modification 1999;23(July (3)):441–79. [17]. Goldstein DS, Robertson D, Esler M, Straus SE, Eisenhofer G. Dysautonomias: clinical disorders of the autonomic nervous system. Annals of Internal Medicine 2002;137 (November (9)):753–63. [18]. Wilhelm FH, Gevirtz R, Roth WT. Respiratory dysregulation in anxiety, functional cardiac, and pain disorders. Behavior Modification 2001;25(4):513–45. [19]. Moss MC, Scholey AB. Oxygen administration enhances memory formation in healthy young adults. Psychopharmacology 1996;124(3):255–60. [20]. Moss MC, Scholey AB, Wesnes K. Oxygen administration selectively enhances cognitive performance in healthy young adults: a placebo-controlled double-blind crossover study. Psychopharmacology 1998;138(1):27–33. Please cite this article in press as: Leskovsek M, et al. Short-term cued visual stimuli recall in relation to breathing phase. Neurol Psychiatry Brain Res (2013), http://dx.doi.org/10.1016/j.npbr.2013.07.001 NPBR-115; No. of Pages 5 neurology, psychiatry and brain research xxx (2013) xxx–xxx [21]. Scholey AB, Moss MC, Wesnes K. Oxygen and cognitive performance: the temporal relationship between hyperoxia and enhanced memory. Psychopharmacology 1998;140(1):123–6. [22]. Gorfein DS, Jacobson DE. Memory search in a Brown– Peterson short-term memory paradigm. Journal of Experimental Psychology 1973;99(1):82–7. [23]. Crowder RG. Short-term memory: where do we stand? Memory & Cognition 1993;21(March (2)):142–5. [24]. Stuss DT, Stethem LL, Pelchat G. Three tests of attention and rapid information processing: an extension. Clinical Neuropsychologist 1988;2(3):246–50. [25]. Brown J. Some tests of the decay theory of immediate memory. Quarterly Journal of Experimental Psychology 1958;10 (1):12–21. [26]. Peterson LR, Peterson MJ. Short-term retention of individual verbal items. Journal of Experimental Psychology 1959;58(3):193–8. Please cite this article in press as: Leskovsek M, et al. Short-term cued visual stimuli recall in relation to breathing phase. Neurol Psychiatry Brain Res (2013), http://dx.doi.org/10.1016/j.npbr.2013.07.001 5
© Copyright 2026 Paperzz