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Supporting Mindfulness Practices with Brain-Sensing Devices. Cognitive and Electrophysiological Evidences

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Mindfulness meditation is at present deemed also as form of mental training that may allow for empowering focusing, attention regulation, and executive control skills. Nonetheless, the potential of traditional mindfulness practice for improving cognitive and neural efficiency is affected by two critical requirements—intensity of exercise and perseverance to practice—which represent a known limitation of accessibility to meditation practices. It has been suggested that the impact of such limitations might be reduced thanks to the support of external devices. The present study aims at testing the efficacy of an intensive technology-mediated intervention based on mindful practices and supported by a brain-sensing device to optimize cognitive performance and neural efficiency. Forty participants took part in the study and were randomly divided in an active control and an experimental group. Both groups were involved in a structured intervention, which lasted 4 weeks and was constituted by brief daily activities. The experimental group, differently from the active control, underwent mindfulness-based practices with the support of a dedicated device. Analyses highlighted increased electrophysiological responsiveness indices at rest and frequency profiles consistent with a relaxed mindset in the experimental group. Participants in the experimental group also showed improved electrophysiological markers of attention regulation and improved cognitive performance, as measured by a complex reaction times task. Findings hint at the potential of the investigated technology-mediated mindfulness practice for enhancing cognitive performance and for inducing consistent modulations of neural efficiency markers.
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ORIGINAL PAPER
Supporting Mindfulness Practices with Brain-Sensing Devices. Cognitive
and Electrophysiological Evidences
Davide Crivelli
1,2
&Giulia Fronda
1,2
&Irene Venturella
1,2
&Michela Balconi
1,2
Published online: 19 June 2018
#Springer Science+Business Media, LLC, part of Springer Nature 2018
Abstract
Mindfulness meditation is at present deemed also as form of mental training that may allow for empowering focusing, attention
regulation, and executive control skills. Nonetheless, the potential of traditional mindfulness practice for improving cognitive and
neural efficiency is affected by two critical requirementsintensity of exercise and perseverance to practicewhich represent a
known limitation of accessibility to meditation practices. It has been suggested that the impact of such limitations might be
reduced thanks to the support of external devices. The present study aims at testing the efficacy of an intensive technology-
mediated interventionbased on mindful practicesand supported by a brain-sensing device to optimize cognitive performance and
neural efficiency. Forty participants took part in the study and were randomly divided in an active control and an experimental
group. Both groups were involved in a structured intervention, which lasted 4 weeks and was constituted by brief daily activities.
The experimental group, differently from the active control, underwent mindfulness-based practices with the support of a
dedicated device. Analyses highlighted increased electrophysiological responsiveness indices at rest and frequency profiles
consistent with a relaxed mindset in the experimental group. Participants in the experimental group also showed improved
electrophysiological markers of attention regulation and improved cognitive performance, as measured by a complex reaction
times task. Findings hint at the potential of the investigated technology-mediated mindfulness practice for enhancing cognitive
performance and for inducing consistent modulations of neural efficiency markers.
Keywords Mindfulness .Neurofeedback .EEG .Wearable device .Attention .Cognitive control
Introduction
Mindfulness in Western culture can be defined as a peculiar
form of meditation based on self-observation and awareness
practices focused on the present. Mindfulness practice re-
quires conscious intentional focusing on and acceptance of
ones own bodily sensations, mental states and feelings, non-
judgementally, and on a moment by moment basis (Kabat-Zinn
1990). Mindfulness meditation grounds on Buddhist
Vipass anātradition. Thought the relation between Buddhist
philosophical tradition and modern secularized conception of
mindfulness is still not exempt from critics (see Grossman
2010), the dedication and interest that neuroscience research
and psychological practice gave to mindfulness-based inter-
ventions are undeniable.
A growing set of empirical investigations allowed to sketch
a clearer picture of neurofunctional and psychological corre-
lates of mindfulness practice (Tang et al. 2015), on its potential
for modulating overt behavior and covert psychophysiological
activity (Pascoe et al. 2017; Quaglia et al. 2016a) and on its
likely short-term and long-term empowerment effects on cog-
nitive and emotion regulation skills (Keng et al. 2011).
Again, mindfulness has recently attracted much attention
following its increasingapplication in psychological protocols
aiming at the promotion of psychophysical well-being, where
it is used as an individual mental training activity to empower
mind/body self-regulation skills and to reach a more profound
self-knowledge by engaging a specific attentional set (Cahn
and Polich 2006;Kengetal.2011;Khouryetal.2013).
Namely, recent models of meditation andspecifically
mindfulness practice identify two main forms of mental
*Davide Crivelli
davide.crivelli@unicatt.it
1
Research Unit in Affective and Social Neuroscience, Catholic
University of the Sacred Heart, Largo A. Gemelli 1,
20123 Milan, Italy
2
Department of Psychology, Catholic University of the Sacred Heart,
Largo A. Gemelli 1, 20123 Milan, Italy
Mindfulness (2019) 10:301311
https://doi.org/10.1007/s12671-018-0975-3
Content courtesy of Springer Nature, terms of use apply. Rights reserved.
... Our research interest lies in the contribution to the development of algorithms and software [20,21] aimed at understating the characteristics of a new meditation session. Understanding these characteristics will allow us to know how progressive a meditation session is [22]. In other words, this type of research could lead to future possibilities of developing algorithms or software that can guide a person [23] towards good progress in meditation. ...
... Research and studies on brainwaves have identified several frequency ranges based on certain common characteristics related to specific mind tasks and brain functions. Although there are some minor differences, the commonly used frequency bands include Delta (0.5-4 Hz), Theta (4-8 Hz), Alpha (8)(9)(10)(11)(12)(13), Beta (13)(14)(15)(16)(17)(18)(19)(20)(21)(22)(23)(24)(25)(26)(27)(28)(29)(30) and Gamma (> 30 Hz) [38][39][40]. There have been significant research showing that the Theta [41][42][43][44] and Alpha [45][46][47] frequency bands are strongly associated with meditation/ non-meditation mind tasks and in our study, we emphasized the importance to these frequency bands. ...
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