Recovery from mild traumatic brain injury:Risk factors and prevention of long term complaints

Licht traumatisch hersenletsel is een veelvoorkomende neurologische aandoening, en wordt in de volksmond ook wel een “hersenschudding” genoemd. Klachten zoals hoofdpijn, duizeligheid, vergeetachtigheid en vermoeidheid zijn in de eerste weken na het letsel bij veel patiënten aanwezig. Deze klachten trekken bij de meerderheid van alle patiënten volledig weg binnen weken tot enkele maanden. Echter, bij een minderheid (20-25%) van de patiënten kunnen de klachten langer aanhouden, tot zelfs jaren na het oplopen van het letsel. Deze persisterende klachten hebben grote gevolgen voor het functioneren van patiënten in het dagelijks leven, en bijvoorbeeld een terugkeer naar het werk belemmeren. Het promotieonderzoek van Myrthe Scheenen richtte zich op het onderzoeken van de risicofactoren voor het ontwikkelen van langdurige klachten. Daarnaast werd de effectiviteit van een preventieve cognitieve gedragstherapeutische interventie onderzocht, met als doel om langdurige klachten te voorkomen. De sessies preventieve cognitieve gedragstherapie werden vergeleken met telefonische gesprekken. Er werd gevonden dat naast het hebben van veel klachten in de vroege fase, psychologische factoren zoals depressie, angst en posttraumatische stress een grote rol spelen in het ontwikkelen van langdurige klachten. De patiënten die telefonisch benaderd werd had rapporteerde minder klachten na zes maanden en had een betere uitkomst een jaar na letsel. Er kan echter niet worden uitgesloten dat beide interventies een positief effect op het herstel hebben gehad

Stability of coping and the role of self-efficacy in the first year following mild traumatic brain injury

Background and aims: Coping, the psychological adaptation to stressors and serious life events, has been found to have a great influence on the development and persistence of posttraumatic complaints. Coping has received much attention for having been found to be modifiable in treatment following mild traumatic brain injury (mTBI) and for its potential to identify the Patients who are at risk of suffering from long-term complaints. Currently, coping styles are assumed to be stable over time. Although interventions to facilitate adaptive coping are given at different time intervals after the injury, little is known about spontaneous changes in preferred strategies over time following mTBI. This study aimed to investigate the stability of different coping styles over a one-year period following mTBI (at two weeks', six and twelve months' post-injury) and to investigate the relation between coping styles and feelings of self-efficacy.Methods: We included 425 mTBI patients (Glasgow Coma Scale [GCS] score 13-15) admitted to three Level-1 trauma centers in the Netherlands as part of a prospective follow-up study. All participants filled out The Utrecht Coping List (UCL) to determine their position on seven coping subscales.Results: Most coping styles showed a decrease over time, except for positive reframing, which showed a decrease and then increased. Interestingly, the passive coping style was found to stabilize over time within the year after injury. High feelings of self-efficacy were related to a high active coping style (r = 0.36), and low feelings of self-efficacy with passive coping (r =-032).Conclusions: These results hold important possibilities for the use of the passive coping strategy as an inclusion criterion for intervention studies and an entry point for treatment itself. Considering the intertwinement of coping with self-efficacy, improving feelings of self-efficacy could form an effective part of an intervention to improve outcome. (C) 2017 Elsevier Ltd. All rights reserved.</p

Graph Analysis of Functional Brain Networks in Patients with Mild Traumatic Brain Injury

Mild traumatic brain injury (mTBI) is one of the most common neurological disorders worldwide. Posttraumatic complaints are frequently reported, interfering with outcome. However, a consistent neural substrate has not yet been found. We used graph analysis to further unravel the complex interactions between functional brain networks, complaints, anxiety and depression in the sub-acute stage after mTBI. This study included 54 patients with uncomplicated mTBI and 20 matched healthy controls. Posttraumatic complaints, anxiety and depression were measured at two weeks post-injury. Patients were selected based on presence (n = 34) or absence (n = 20) of complaints. Resting-state fMRI scans were made approximately four weeks post-injury. High order independent component analysis resulted in 89 neural components that were included in subsequent graph analyses. No differences in graph measures were found between patients with mTBI and healthy controls. Regarding the two patient subgroups, degree, strength, local efficiency and eigenvector centrality of the bilateral posterior cingulate/precuneus and bilateral parahippocampal gyrus were higher, and eigenvector centrality of the frontal pole/bilateral middle & superior frontal gyrus was lower in patients with complaints compared to patients without complaints. In patients with mTBI, higher degree, strength and eigenvector centrality of default mode network components were related to higher depression scores, and higher degree and eigenvector centrality of executive network components were related to lower depression scores. In patients without complaints, one extra module was found compared to patients with complaints and healthy controls, consisting of the cingulate areas. In conclusion, this research extends the knowledge of functional network connectivity after mTBI. Specifically, our results suggest that an imbalance in the function of the default mode-and executive network plays a central role in the interaction between emotion regulation and the persistence of posttraumatic complaints

Trajectories of Fatigue, Psychological Distress, and Coping Styles After Mild Traumatic Brain Injury:A 6-Month Prospective Cohort Study

Objective: To analyze fatigue after mild traumatic brain injury (TBI) with latent class growth analysis (LCGA) to determine distinct recovery trajectories and investigate influencing factors, including emotional distress and coping styles. Design: An observational cohort study design with validated questionnaires assessing fatigue, anxiety, depression, posttraumatic stress, and coping at 2 weeks and 3 and 6 months postinjury. Setting: Three level 1 trauma centers. Participants: Patients with mild TBI (N=456). Interventions: Not applicable. Main Outcome Measures: Fatigue was measured with the fatigue severity subscale of the Checklist Individual Strength, including 8 items (sum score, 8-56). Subsequently, 3 clinical categories were created: high (score, 40-56), moderate (score, 26-38), and low (score, 8-25). Results: From the entire mild TBI group, 4 patient clusters with distinct patterns for fatigue, emotional distress, and coping styles were found with LCGA. Clusters 1 and 2 showed favorable recovery from fatigue over time, with low emotional distress and the predominant use of active coping in cluster 1 (30%) and low emotional distress and decreasing passive coping in cluster 2 (25%). Clusters 3 and 4 showed unfavorable recovery, with persistent high fatigue and increasing passive coping together with low emotional distress in cluster 3 (27%) and high emotional distress in cluster 4 (18%). Patients with adverse trajectories were more often women and more often experiencing sleep disturbances and pain. Conclusions: The prognosis for recovery from posttraumatic fatigue is favorable for 55% of mild TBI patients. Patients at risk for chronic fatigue can be signaled in the acute phase postinjury based on the presence of high fatigue, high passive coping, and, for a subgroup of patients, high emotional distress. LCGA proved to be a highly valuable and multipurpose statistical method to map distinct courses of disease-related processes over time

Dynamic phase-locking states and personality in sub-acute mild traumatic brain injury:An exploratory study

Research has shown that maladaptive personality characteristics, such as Neuroticism, are associated with poor outcome after mild traumatic brain injury (mTBI). The current exploratory study investigated the neural underpinnings of this process using dynamic functional network connectivity (dFNC) analyses of resting-state (rs) fMRI, and diffusion MRI (dMRI). Twenty-seven mTBI patients and 21 healthy controls (HC) were included. After measuring the Big Five personality dimensions, principal component analysis (PCA) was used to obtain a superordinate factor representing emotional instability, consisting of high Neuroticism, moderate Openness, and low Extraversion, Agreeableness, and Conscientiousness. Persistent symptoms were measured using the head injury symptom checklist at six months post-injury; symptom severity (i.e., sum of all items) was used for further analyses. For patients, brain MRI was performed in the sub-acute phase (~1 month) post-injury. Following parcellation of rs-fMRI using independent component analysis, leading eigenvector dynamic analysis (LEiDA) was performed to compute dynamic phase-locking brain states. Main patterns of brain diffusion were computed using tract-based spatial statistics followed by PCA. No differences in phase-locking state measures were found between patients and HC. Regarding dMRI, a trend significant decrease in fractional anisotropy was found in patients relative to HC, particularly in the fornix, genu of the corpus callosum, anterior and posterior corona radiata. Visiting one specific phase-locking state was associated with lower symptom severity after mTBI. This state was characterized by two clearly delineated communities (each community consisting of areas with synchronized phases): one representing an executive/saliency system, with a strong contribution of the insulae and basal ganglia; the other representing the canonical default mode network. In patients who scored high on emotional instability, this relationship was even more pronounced. Dynamic phase-locking states were not related to findings on dMRI. Altogether, our results provide preliminary evidence for the coupling between personality and dFNC in the development of long-term symptoms after mTBI.</p

Dynamic phase-locking states and personality in sub-acute mild traumatic brain injury:An exploratory study

Research has shown that maladaptive personality characteristics, such as Neuroticism, are associated with poor outcome after mild traumatic brain injury (mTBI). The current exploratory study investigated the neural underpinnings of this process using dynamic functional network connectivity (dFNC) analyses of resting-state (rs) fMRI, and diffusion MRI (dMRI). Twenty-seven mTBI patients and 21 healthy controls (HC) were included. After measuring the Big Five personality dimensions, principal component analysis (PCA) was used to obtain a superordinate factor representing emotional instability, consisting of high Neuroticism, moderate Openness, and low Extraversion, Agreeableness, and Conscientiousness. Persistent symptoms were measured using the head injury symptom checklist at six months post-injury; symptom severity (i.e., sum of all items) was used for further analyses. For patients, brain MRI was performed in the sub-acute phase (~1 month) post-injury. Following parcellation of rs-fMRI using independent component analysis, leading eigenvector dynamic analysis (LEiDA) was performed to compute dynamic phase-locking brain states. Main patterns of brain diffusion were computed using tract-based spatial statistics followed by PCA. No differences in phase-locking state measures were found between patients and HC. Regarding dMRI, a trend significant decrease in fractional anisotropy was found in patients relative to HC, particularly in the fornix, genu of the corpus callosum, anterior and posterior corona radiata. Visiting one specific phase-locking state was associated with lower symptom severity after mTBI. This state was characterized by two clearly delineated communities (each community consisting of areas with synchronized phases): one representing an executive/saliency system, with a strong contribution of the insulae and basal ganglia; the other representing the canonical default mode network. In patients who scored high on emotional instability, this relationship was even more pronounced. Dynamic phase-locking states were not related to findings on dMRI. Altogether, our results provide preliminary evidence for the coupling between personality and dFNC in the development of long-term symptoms after mTBI.</p

Dynamic phase-locking states and personality in sub-acute mild traumatic brain injury:An exploratory study

Research has shown that maladaptive personality characteristics, such as Neuroticism, are associated with poor outcome after mild traumatic brain injury (mTBI). The current exploratory study investigated the neural underpinnings of this process using dynamic functional network connectivity (dFNC) analyses of resting-state (rs) fMRI, and diffusion MRI (dMRI). Twenty-seven mTBI patients and 21 healthy controls (HC) were included. After measuring the Big Five personality dimensions, principal component analysis (PCA) was used to obtain a superordinate factor representing emotional instability, consisting of high Neuroticism, moderate Openness, and low Extraversion, Agreeableness, and Conscientiousness. Persistent symptoms were measured using the head injury symptom checklist at six months post-injury; symptom severity (i.e., sum of all items) was used for further analyses. For patients, brain MRI was performed in the sub-acute phase (~1 month) post-injury. Following parcellation of rs-fMRI using independent component analysis, leading eigenvector dynamic analysis (LEiDA) was performed to compute dynamic phase-locking brain states. Main patterns of brain diffusion were computed using tract-based spatial statistics followed by PCA. No differences in phase-locking state measures were found between patients and HC. Regarding dMRI, a trend significant decrease in fractional anisotropy was found in patients relative to HC, particularly in the fornix, genu of the corpus callosum, anterior and posterior corona radiata. Visiting one specific phase-locking state was associated with lower symptom severity after mTBI. This state was characterized by two clearly delineated communities (each community consisting of areas with synchronized phases): one representing an executive/saliency system, with a strong contribution of the insulae and basal ganglia; the other representing the canonical default mode network. In patients who scored high on emotional instability, this relationship was even more pronounced. Dynamic phase-locking states were not related to findings on dMRI. Altogether, our results provide preliminary evidence for the coupling between personality and dFNC in the development of long-term symptoms after mTBI.</p