H length (L) and higher typical clustering coefficient (C) [92]. As opposed to
H length (L) and high average clustering coefficient (C) [92]. Instead of using the smallworld (SW) measure from this toolbox, which was proposed by Humphries and Gurney [93] and involves the calculation of random networks, we combinedData processing and analysisHeartbeat Detection Process (HBD). To assess efficiency around the HBD, we employed an index that normalizes the subjects appropriate responses primarily based around the total amount of heartbeats (Accuracy Index). This index allows us to examine participants CCG215022 web without having the bias of heart price variations. We utilized a modified equation from the one proposed by Schandry for his heartbeat mental tracking process [24]. Schandry employs the total quantity of mental heartbeats counted and the total variety of heartbeats recorded as measures for his index. Our motor tracking technique enables us to discriminate the correct motor response of the participants from their incorrect answers. To separate them, just about every motor response was compared inside a specific time PubMed ID:https://www.ncbi.nlm.nih.gov/pubmed/27043007 window about every single recorded heartbeat; if the tapping input was temporally positioned within the corresponding time window for every single beat, the response was thought of as right (the time window is determined by the subjects’ heart rate: between 0.25 milliseconds ahead of and 0.750 milliseconds following the beat, for a heart frequency significantly less than 69.76; between 0. milliseconds just before and 0.six soon after, for frequencies involving 69.75 and 94.25; and 0.075 milliseconds ahead of and 0.4 milliseconds soon after, for frequencies greater than 94.25). The total sum of all the subjects’ responses that fulfilled this temporal criterion was considered as appropriate answers, and we employed this additional specific measure of interoceptive efficiency in place of the total sum of responses. As a result, the accuracy equation we utilised is:RecordedHeartbeats TotalofCorrectAnswers { RecordedHeartbeats We calculated an Accuracy Index for every condition of the task that can vary between 0 and with high scores indicating smaller differences between correct answers and recorder heartbeats.PLOS ONE plosone.orgInteroception and Emotion in DDintegration (L) and segregation (C) metrics into a single formula to calculate the smallworldness of the network [82]: SW CLStatistical analysisTo compare the patients’ performances with both control samples, we used a modified onetailed ttest [969]. This methodology allows the assessment of significance by comparing multiple individual’s test scores with norms derived from small samples. Although parametric statistics usually requires comparison groups of about 30 subjects, the onetailed ttest allows the assessment of significance by comparing an individual’s score to the scores obtained in a small control sample (even less than 5 subjects) [99]. This modified test is more robust for nonnormal distributions, presents low values of type I error, and has already been reported in recent single case studies [40,00,0]. Additionally, this statistical method has already been employed in an early investigation that compared the connectivity indices of fMRI during resting states between a small control sample and a single case [02].This decision is based on Rubinov and Sporns’ [94] suggestion that Humphries and Gurney’s SW measure may falsely report a smallworld topology in very poorly integrated networks. Thus, to avoid biases from networks with these topological characteristics, they recommend considering the individual assessment of integration and segregation when characterizing functional c.