2018
DOI: 10.3389/fpsyg.2018.01249
|View full text |Cite
|
Sign up to set email alerts
|

Focusing Attention on Muscle Exertion Increases EEG Coherence in an Endurance Cycling Task

Abstract: The aim of this study was to examine EEG coherence before, during, and after time to exhaustion (TTE) trials in an endurance cycling task, as well as the effect of effort level and attentional focus (i.e., functional external, functional internal, and dysfunctional internal associative strategies−leading to Type 1, Type 2, and Type 3 performances) on brain functional connectivity. Eleven college-aged participants performed the TTE test on a cycle-ergometer with simultaneous EEG and rate of perceived exertion (… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2
1

Citation Types

2
41
2

Year Published

2020
2020
2024
2024

Publication Types

Select...
8

Relationship

2
6

Authors

Journals

citations
Cited by 32 publications
(45 citation statements)
references
References 51 publications
2
41
2
Order By: Relevance
“…Since mindfulness training promotes moment-to-moment awareness of such internal cues, it stands to reason that such training may promote the use of an associative attention strategy which could directly benefit physical performance. However, associative strategies can be more or less beneficial depending on the locus of attention (Comani et al, 2014;Bertollo et al, 2015;di Fronso et al, 2018). Future studies could investigate effects of mindfulness interventions on attention strategy employed during performance.…”
Section: Discussionmentioning
confidence: 99%
“…Since mindfulness training promotes moment-to-moment awareness of such internal cues, it stands to reason that such training may promote the use of an associative attention strategy which could directly benefit physical performance. However, associative strategies can be more or less beneficial depending on the locus of attention (Comani et al, 2014;Bertollo et al, 2015;di Fronso et al, 2018). Future studies could investigate effects of mindfulness interventions on attention strategy employed during performance.…”
Section: Discussionmentioning
confidence: 99%
“…Rated perceived exertion was collected every minute during cycling to detect the participants’ exhaustion using the CR-10 Borg scale ( Borg and Borg, 2010 ; Staiano et al, 2018 ). Given that reaching exhaustion is an individual process that depends on the participants’ fitness and expertise ( di Fronso et al, 2018 , 2019 ), the duration of the endurance task ranged from approximately 10 to 28 min (18 ± 5 min). Exhaustion was immediately followed by an active recovery period of 2 min, during which the participants continued cycling with eyes closed and the ergometer power was set back to 50 W. The task ended with a passive recovery period of 2 min, during which the participants were asked to stop cycling and maintain their eyes closed while sitting on the cycle-ergometer.…”
Section: Methodsmentioning
confidence: 99%
“…For each frequency band and each participant, we then obtained six matrices of LC values that could range between 0 and 1, where 0 indicates no coherence and 1 indicates perfect coherence between two time series of current density. To retain only significant functional connections across ROIs, we thresholded the LC matrices ( Berchicci et al, 2015 ; di Fronso et al, 2018 ): We calculated the median and the median absolute deviation (MAD) of the LC value distribution for each LC matrix; only LC values > (median + 1 MAD) were considered as meaningful functional connections, retained and set equal to 1, whereas all other LC values were set equal to 0. Therefore, we obtained 12 (28 × 28) undirected binary adjacency matrices for each subject (six matrices for each frequency band).…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…Interestingly, the present study adds to the literature of psychology in the domain of cycling; previous psychological studies addressed other aspects related to cycling, such as mood (e.g., Murgia et al, 2016), recovery-stress balance (e.g., Filho et al, 2013Filho et al, , 2015, attentional focus (e.g., Bertollo et al, 2015;di Fronso et al, 2018), and psychobiosocial states (e.g., Robazza et al, 2017). As concerns psychobiosocial states, other studies highlighted their potential role as mediators of the relationship between the perceived motivational climate by young athletes and their motivation to continue playing sports (e.g., Bortoli et al, 2009Bortoli et al, , 2011Bortoli et al, , 2014; thus, psychobiosocial states also could be taken into consideration by future studies aiming to better understand the role of burnout in sport abandonment.…”
Section: Discussionmentioning
confidence: 77%