2018
DOI: 10.3389/fpsyt.2018.00342
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Functional Connectivity Density, Local Brain Spontaneous Activity, and Their Coupling Strengths in Patients With Borderline Personality Disorder

Abstract: In this study, combining degree centrality (DC) and fractional amplitude of low frequency fluctuation (fALFF) analyses of resting state (rs)-functional magnetic resonance imaging (fMRI) data, we aimed to explore functional connectivity density, local brain spontaneous activity, and their coupling strengths in borderline personality disorder (BPD). Forty-three BPD patients and 39 demographically-matched controls underwent rs-fMRI after completing a series of psychological tests. Two-sample t-tests were performe… Show more

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Cited by 13 publications
(16 citation statements)
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“…This is consistent with the result of the match/ mismatch model in which participants who experienced low levels of early and recent life stress exhibited stronger connectivity between the right OFA and left middle temporal gyrus. Our findings are partially strengthened by the results of the study by Lei et al (2018). They demonstrated reduced connectivity-amplitude coupling in the left MTG among patients with borderline personality disorder, characterized by high levels of early life stress.…”
Section: Discussionsupporting
confidence: 75%
“…This is consistent with the result of the match/ mismatch model in which participants who experienced low levels of early and recent life stress exhibited stronger connectivity between the right OFA and left middle temporal gyrus. Our findings are partially strengthened by the results of the study by Lei et al (2018). They demonstrated reduced connectivity-amplitude coupling in the left MTG among patients with borderline personality disorder, characterized by high levels of early life stress.…”
Section: Discussionsupporting
confidence: 75%
“…The second reason is related to the functional alteration assessment index. While previous findings have assessed alterations in functional connectivity strength, our pilot findings were based on functional connectivity numbers (Lei et al, 2018), which may explain the inconsistency in altered brain regions between the previous studies and our pilot study.…”
Section: M Itati O N Smentioning
confidence: 80%
“…First, Pearson's correlations between the times series of all pairs of gray matter voxels were calculated to obtain a whole functional connectivity matrix for each participant. Second, we restricted our analysis to positive correlations above a threshold of Pearson's r = 0.25 to obtain an undirected binarized matrix according to previous studies ( 28 , 33 , 34 ). If the correlation between the two voxels was >0.25, the elements of the binarized matrix were set to 1; otherwise, they were set to 0 ( 33 ).…”
Section: Methodsmentioning
confidence: 99%