Functional neuroimaging of extraversion-introversion

Lei, Xu; Yang, Tianliang; Wu, Taoyu

doi:10.1007/s12264-015-1565-1

Cited by 43 publications

(30 citation statements)

References 61 publications

(173 reference statements)

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“…The neuroticism trait crossmatches with T&P self-criticism and rejection sensitivity traits, and introversion crossmatches with the T&P personal reserve trait 27. Neuroimaging studies have demonstrated that degree of introversion is associated with activations in regions of the anterior cingulate cortex, dorsolateral prefrontal cortex, middle temporal gyrus, and the amygdala 33–36. Yet, the process underlying the predictive association between personality traits and treatment outcome is not entirely clear; further understanding of lower-order dimensions and their neurobiological background may contribute to making further progress in elucidating the predictors of treatment outcome.…”

Section: Discussionmentioning

confidence: 99%

Temperament, personality, and treatment outcome in major depression: a 6-month preliminary prospective study

Kudo¹,

Nakagawa²,

Wake³

et al. 2016

NDT

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BackgroundDespite available treatments, major depression is a highly heterogeneous disorder, which leads to problems in classification and treatment specificity. Previous studies have reported that personality traits predict and influence the course and treatment response of depression. The Temperament and Personality Questionnaire (T&P) assesses eight major constructs of personality traits observed in those who develop depression. The aim of this study was to investigate the influence of T&P’s eight constructs on the treatment outcome of depressed patients.Patients and methodsA preliminary 6-month prospective study was conducted with a sample of 51 adult patients with a diagnosis of major depressive disorder (MDD) without remarkable psychomotor disturbance using the Diagnostic and Statistical Manual of Mental Disorders, fourth edition. All patients received comprehensive assessment including the T&P at baseline. We compared each T&P construct score between patients who achieved remission and those who did not achieve remission after 6 months of treatment for depression using both subjective and objective measures. All 51 (100%) patients received the 6-month follow-up assessment.ResultsThis study demonstrated that higher scores on T&P personal reserve predicted poorer treatment outcome in patients with MDD. Higher levels of personal reserve, rejection sensitivity, and self-criticism correlated with higher levels of depression. Higher levels of rejection sensitivity and self-criticism were associated with non-remitters; however, when we controlled for baseline depression severity, this relationship did not show significance.ConclusionAlthough the results are preliminary, this study suggests that high scores on T&P personal reserve predict poorer treatment outcome and T&P rejection sensitivity and self-criticism correlate with the severity of depression. Longer follow-up studies with large sample sizes are required to improve the understanding of these relationships.

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Section: Discussionmentioning

confidence: 99%

Temperament, personality, and treatment outcome in major depression: a 6-month preliminary prospective study

Kudo¹,

Nakagawa²,

Wake³

et al. 2016

NDT

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“…Extraversion has been linked to regions responding to reward-related stimuli like nucleus accumbens, striatum, amygdala, and orbitofrontal cortex (DeYoung et al 2010b; Adelstein et al 2011; Pang et al 2016, c.f. ; Lei et al 2015). Conscientiousness has been related to the lateral prefrontal cortex (Asahi et al 2004; Passamonti et al 2006; DeYoung et al 2010; Kunisato et al 2011), deputed to the planning, following complex rule and voluntarily control of behaviour.…”

Section: Introductionmentioning

confidence: 99%

Predicting personality from network-based resting-state functional connectivity

et al. 2018

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Personality is associated with variation in all kinds of mental faculties, including affective, social, executive, and memory functioning. The intrinsic dynamics of neural networks underlying these mental functions are reflected in their functional connectivity at rest (RSFC). We, therefore, aimed to probe whether connectivity in functional networks allows predicting individual scores of the five-factor personality model and potential gender differences thereof. We assessed nine meta-analytically derived functional networks, representing social, affective, executive, and mnemonic systems. RSFC of all networks was computed in a sample of 210 males and 210 well-matched females and in a replication sample of 155 males and 155 females. Personality scores were predicted using relevance vector machine in both samples. Cross-validation prediction accuracy was defined as the correlation between true and predicted scores. RSFC within networks representing social, affective, mnemonic, and executive systems significantly predicted self-reported levels of Extraversion, Neuroticism, Agreeableness, and Openness. RSFC patterns of most networks, however, predicted personality traits only either in males or in females. Personality traits can be predicted by patterns of RSFC in specific functional brain networks, providing new insights into the neurobiology of personality. However, as most associations were gender-specific, RSFC–personality relations should not be considered independently of gender.

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“…In this context, the research focused on the assessment of personality 36 based on the analysis of EEG data in the resting state has not reached consistent 37 conclusions. While some papers reported a successful assessment [17], others concluded 38 that resting state features could not be used [18]. Based on the previous studies, we 39 hypothesize that the features associated with personality traits are more pronounced 40 during cognitive activity.…”

Section: Introductionmentioning

confidence: 86%

Human personality reflects spatio-temporal and time-frequency EEG structure

Pisarchik

Runnova

Maksimenko

et al. 2018

Preprint

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The brain controls all physiological processes in the organism and regulates its interaction with the external environment. The way the brain solves mental tasks is determined by individual human features, which are reflected in neuronal network dynamics, and therefore can be detected in neurophysiological data. Every human action is associated with a unique brain activity (motor-related, cognitive, etc.) represented by a specific oscillatory pattern in a multichannel electroencephalogram (EEG). The connection between neurophysiological processes and personal mental characteristics is manifested when using simple psycho-diagnostic tests (Schulte tables) in order to study the attention span. The analysis of spatio-temporal and time-frequency structures of the multichannel EEG using the Schulte tables allows us to divide subjects into three groups depending on their neural activity. The personality multi-factor profile of every participant can be individually described based on both the Sixteen Personality Factor Questionnaire (16PF) and a personal interview with an experienced psychologist. The correlation of the EEG-based personality classification with individual multi-factor profiles provides a possibility to identify human personality by analyzing electrical brain activity. The obtained results are of great interest for testing human personality and creating automatized intelligent programs that employ simple tests and EEG measurements for an objective estimation of human personality features. 4 event-related response of the neuronal brain network, in particular, a decrease in 5 alpha-wave (8-12 Hz) and an increase in beta-wave (15-30 Hz) activities. Such a 6 behavior reflects different cognitive functions, namely, the alpha-wave suppression is 7 associated with visual [1] or auditory [2] attention, while the beta-wave activation 8 relates to information processing [3] and an alerted state [4, 5]. Similar cognitive activity 9 was observed in the group of motivation-dependent volunteers [6]. 10 PLOS 1/15Universal EEG patterns were also identified in patients with pathological brain 11 activity, e.g., epileptic seizures. This type of activity is closely related to global 12 synchronization in the brain's neuronal network [7], which is manifested as 13 high-amplitude oscillations with a specific waveform (series of well-pronounced spikes 14 and waves) and frequency [8]. Such spike-and-wave oscillations have similar properties 15 for different patients and are only determined by the type of epilepsy. 16Different physiological and psychological states (e.g., sleep stages, arousal, etc.) are 17 known to possess specific properties of neural activity. For instance, motor-related brain 18 activity is manifested in the brain as a specific scenario of neural activity with 19 well-defined frequency and spatial localization. Particularly, it is characterized by event 20 related desynchronization (ERD) in alpha/mu-and beta-bands [9]. The same features 21 are observed during motor imagery in specially trained subjects [10...

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Functional neuroimaging of extraversion-introversion

Cited by 43 publications

References 61 publications

Temperament, personality, and treatment outcome in major depression: a 6-month preliminary prospective study

Temperament, personality, and treatment outcome in major depression: a 6-month preliminary prospective study

Predicting personality from network-based resting-state functional connectivity

Human personality reflects spatio-temporal and time-frequency EEG structure

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