Diane Whitson’s research while affiliated with Saint Louis University and other places

What is this page?


This page lists works of an author who doesn't have a ResearchGate profile or hasn't added the works to their profile yet. It is automatically generated from public (personal) data to further our legitimate goal of comprehensive and accurate scientific recordkeeping. If you are this author and want this page removed, please let us know.

Publications (7)


FIG. 1. Whole brain LZC maps for the two groups and the contrast between the two groups. (a) Whole brain mean LZC map for the normal control group, p corrected < .0001; (b) Whole brain mean LZC map for the TBI group, p corrected < .0001; (c) Whole brain contrast LZC map: normal control group > TBI group, p corrected < .05. The color bars mark the complexity values.  
FIG. 2. Locations of channels indicated in Table 1. These channels show significant LZC group contrast effect: normal control group > TBI group. See Table 1 for details of statistics.  
FIG. 3. Significant correlation between LZC and different neuropsychological scores. (a) GPT Dominant Hand T-Score, (b) GPT Non- Dominant Hand T-Score, (c) WCST64 Perseverative Errors T-Score, and (d) the RBANS Visual Spatial Index Standard Score. The color bars mark the correlation coefficient values: warm colors for positive correlations and cool colors for negative correlations (p corrected < .05; r > .4).  
Complexity MEG article-2013
  • Data
  • File available

December 2013

·

110 Reads

Qian Luo

·

Duo Xu

·

·

[...]

·

Download


FIG. 1. Whole brain LZC maps for the two groups and the contrast between the two groups. (a) Whole brain mean LZC map for the normal control group, p corrected < .0001; (b) Whole brain mean LZC map for the TBI group, p corrected < .0001; (c) Whole brain contrast LZC map: normal control group > TBI group, p corrected < .05. The color bars mark the complexity values.  
FIG. 2. Locations of channels indicated in Table 1. These channels show significant LZC group contrast effect: normal control group > TBI group. See Table 1 for details of statistics.  
Table 2. Statistics of MEG Channels Showing Significant LZC Group Contrast Effect: Normal Control Group > TBI Group 
FIG. 3. Significant correlation between LZC and different neuropsychological scores. (a) GPT Dominant Hand T-Score, (b) GPT Non- Dominant Hand T-Score, (c) WCST64 Perseverative Errors T-Score, and (d) the RBANS Visual Spatial Index Standard Score. The color bars mark the correlation coefficient values: warm colors for positive correlations and cool colors for negative correlations (p corrected < .05; r > .4).  
Complexity Analysis of Resting State Magnetoencephalography Activity in Traumatic Brain Injury Patients

May 2013

·

241 Reads

·

37 Citations

Journal of Neurotrauma

Diagnosis of mild TBIs has been difficult due to the absence of obvious focal brain lesions in a large percentage of TBIs using conventional CT or MRI scans. One useful measure that can possibly characterize potential tissue and neural network damage objectively is Lempel-Ziv complexity (LZC) applied to MEG signals. LZC is a model-independent estimator of system complexity by estimating the number of different patterns in a sequence. We hypothesized that due to the potential network damage, TBIs would show a reduced level of complexity in regions that are impaired. We included 18 healthy controls and 18 military veterans in the study. Resting state MEG data was acquired and the LZCs were analyzed across the whole brain. Our results indicated reduced complexity in multiple brain areas in TBIs relative to the healthy controls. In addition, we detected several neuropsychological measures associated with motor responses, visual perception and memory correlated with LZC, which likely explains some of the cognitive deficits in TBIs.


Table 2 Factor loadings for motives for inducing romantic jealousy items
Table 3 Correlations between romantic jealousy-induction, motives for inducing romantic jealousy, experienced jealousy, attachment, investment model, and love styles
Development of the Romantic Jealousy-Induction Scale and the Motives for Inducing Romantic Jealousy Scale

September 2012

·

5,393 Reads

·

32 Citations

Current Psychology

Relatively little research exists regarding individuals who intentionally induce jealousy in their romantic partners, which is partially due to the absence of validated measures assessing romantic jealousy-induction behaviors and motivations. In the current study, we developed measures and examined the correlates of romantic jealousy-induction behaviors and motivations. Results indicated that the Romantic Jealousy-Induction Scale was unifactorial and reliable, whereas the Motives for Inducing Romantic Jealousy Scale consisted of five theoretically meaningful and reliable factors. In general, the romantic jealousy-induction behaviors and motives were associated with greater experienced jealousy, greater attachment avoidance and anxiety, lower relationship satisfaction and commitment, greater relationship alternatives, less passionate love, and greater game-playing and obsessive love.


Maximizing Study Participation of Veterans with Traumatic Brain Injury (TBI) and Post Traumatic Stress Disorder (PTSD) Through Frequent Structured Communication Techniques

Diagnosis and treatment of veterans with TBI and/or PTSD has been a complex issue affecting health care delivery to veterans of recent combat (Operation Iraqi Freedom and Operation Enduring Freedom). Investigation by this center aims to better understand the neuroimaging and neurobehavioral correlates of TBI and PTSD in order to inform medical follow up procedures with this population. Symptoms related to TBI and/or PTSD often present as factors affecting retention of these subjects in research studies, tolerance of study procedures, and logistics of conducting study activities. This session will describe techniques for utilizing frequent structured communication methods with study participants to increase retention, enhance tolerance of study procedures, and manage expectations throughout the research participation process.



Citations (3)


... При этом обозначенный подход к изучению ревности далеко не единственный. В частности, в литературном обзоре зарубежных исследователей D. Whitson и B. Mattingly ревность понимается как совокупность, включающую в себя чувства индивида, а также его мысли и действия, обуславливаемые потенциальной угрозой его текущим отношениям в связи с наличием у его партнера определенного влечения (не только фактического, но и воображаемого) к сопернику (он также может являться воображаемым) [45]. По мнению авторов, структурная суть ревности состоит из нескольких процессов, связанных между собой. ...

Reference:

СОЦИАЛЬНО-ПСИХОЛОГИЧЕСКИЕ ПОДХОДЫ В ИССЛЕДОВАНИИ РЕВНОСТИ: ТЕОРЕТИЧЕСКИЙ ОБЗОР: SOCIO-PSYCHOLOGICAL APPROACHES IN THE STUDY OF JEALY: THEORETICAL REVIEW
Waking the Green-Eyed Monster: Attachment Styles and Jealousy Induction in Romantic Relationships
  • Citing Article
  • January 2010

Psi Chi Journal of Psychological Research

... The reason is that, compared to the emotional nature of brand love, the functional nature of brand attachment (Park et al., 2010) is more relevant to jealousy when it comes to brand consumption, needs and demands. In other words, relationship loss anxiety in jealousy (Mattingly et al., 2012) and negative consequences Guerrero & Andersen, 2010) are more associated with brand attachment than brand love. The purpose of this study is to examine the mediating role of brand jealousy in the relationship between brand attachment and behavioural intentions, as well as the moderating effect of perceived unfairness. ...

Development of the Romantic Jealousy-Induction Scale and the Motives for Inducing Romantic Jealousy Scale

Current Psychology

... It has been shown that neural complexity is reduced across multiple brain regions among military Veterans who experienced mTBIs relative to healthy controls. 31 In addition, performance of motor responses, visual perception, and memory correlated with functional complexity, and, as such, the decreased repertoire of neural states measured in MEG signals in TBI is likely the result of injured neurons and damaged network connectivity. 32 Te acute administration of psilocybin, LSD, or ketamine increased spontaneous neural complexity measured by MEG, 32 and psilocybin globally increased brain network integration measured with functional MRI. ...

Complexity Analysis of Resting State Magnetoencephalography Activity in Traumatic Brain Injury Patients

Journal of Neurotrauma