scholarly journals Long-Lasting Mental Fatigue After Traumatic Brain Injury – A Major Problem Most Often Neglected Diagnostic Criteria, Assessment, Relation to Emotional and Cognitive Problems, Cellular Background, and Aspects on Treatment

Author(s):  
Birgitta Johansson ◽  
Lars Rnnbck



2020 ◽  
Vol 32 (6) ◽  
pp. 303-312
Author(s):  
Marie K.L. Nilsson ◽  
Birgitta Johansson ◽  
Maria L. Carlsson ◽  
Robert C. Schuit ◽  
Lars Rönnbäck

AbstractObjective:The purpose of the present study was to evaluate the efficacy and safety of (−)-OSU6162 in doses up to 30 mg b.i.d. in patients suffering from mental fatigue following stroke or traumatic brain injury (TBI).Methods:This 4 + 4 weeks double-blind randomised cross-over study included 30 patients afflicted with mental fatigue following a stroke or head trauma occurring at least 12 months earlier. Efficacy was assessed using the Mental Fatigue Scale (MFS), the Self-rating Scale for Affective Syndromes [Comprehensive Psychopathological Rating Scale (CPRS)], the Frenchay Activity Index (FAI), and a battery of neuropsychological tests. Safety was evaluated by recording spontaneously reported adverse events (AEs).Results:There were significant differences on the patients’ total FAI scores (p = 0.0097), the subscale FAI outdoor scores (p = 0.0243), and on the trail making test (TMT-B) (p = 0.0325) in favour of (−)-OSU6162 treatment. Principal component analysis showed a clear overall positive treatment effect in 10 of 28 patients; those who responded best to treatment had their greatest improvements on the MFS. Reported AEs were mild or moderate in severity and did not differ between the (−)-OSU6162 and the placebo period.Conclusion:The most obvious beneficial effects of (−)-OSU6162 were on the patients’ activity level, illustrated by the improvement on the FAI scale. Moreover, a subgroup of patients showed substantial improvements on the MFS. Based on these observed therapeutic effects, in conjunction with the good tolerability of (−)-OSU6162, this compound may offer promise for treating at least part of the symptomatology in patients suffering from stroke- or TBI-induced mental fatigue.



2016 ◽  
Vol 10 (3) ◽  
pp. 857-868 ◽  
Author(s):  
Kai Liu ◽  
Bo Li ◽  
Shaowen Qian ◽  
Qingjun Jiang ◽  
Li Li ◽  
...  


CNS Spectrums ◽  
2006 ◽  
Vol 11 (S6) ◽  
pp. 1-11 ◽  
Author(s):  
Jeffrey L. Cummings ◽  
David B. Arciniegas ◽  
Benjamin R. Brooks ◽  
Robert M. Herndon ◽  
Edward C. Lauterbach ◽  
...  

AbstractUncontrollable episodes of emotional expression occur in a variety of neurological conditions. This emotional disinhibition syndrome is characterized by episodes of crying or laughing that are unrelated to or out of proportion to the eliciting stimulus. This syndrome is common among patients with amyotrophic lateral sclerosis, multiple sclerosis, stroke, and traumatic brain injury and a variety of terms and definitions have been used to describe it. The confusing nomenclature has been a barrier to understanding, diagnosis, and treatment of this disorder. The authors propose a unifying term, involuntary emotional expression disorder (IEED), and provide diagnostic criteria for this disorder.



Brain ◽  
2020 ◽  
Vol 143 (4) ◽  
pp. 1158-1176 ◽  
Author(s):  
Amy E Jolly ◽  
Gregory T Scott ◽  
David J Sharp ◽  
Adam H Hampshire

Abstract It is well established that chronic cognitive problems after traumatic brain injury relate to diffuse axonal injury and the consequent widespread disruption of brain connectivity. However, the pattern of diffuse axonal injury varies between patients and they have a correspondingly heterogeneous profile of cognitive deficits. This heterogeneity is poorly understood, presenting a non-trivial challenge for prognostication and treatment. Prominent amongst cognitive problems are deficits in working memory and reasoning. Previous functional MRI in controls has associated these aspects of cognition with distinct, but partially overlapping, networks of brain regions. Based on this, a logical prediction is that differences in the integrity of the white matter tracts that connect these networks should predict variability in the type and severity of cognitive deficits after traumatic brain injury. We use diffusion-weighted imaging, cognitive testing and network analyses to test this prediction. We define functionally distinct subnetworks of the structural connectome by intersecting previously published functional MRI maps of the brain regions that are activated during our working memory and reasoning tasks, with a library of the white matter tracts that connect them. We examine how graph theoretic measures within these subnetworks relate to the performance of the same tasks in a cohort of 92 moderate-severe traumatic brain injury patients. Finally, we use machine learning to determine whether cognitive performance in patients can be predicted using graph theoretic measures from each subnetwork. Principal component analysis of behavioural scores confirm that reasoning and working memory form distinct components of cognitive ability, both of which are vulnerable to traumatic brain injury. Critically, impairments in these abilities after traumatic brain injury correlate in a dissociable manner with the information-processing architecture of the subnetworks that they are associated with. This dissociation is confirmed when examining degree centrality measures of the subnetworks using a canonical correlation analysis. Notably, the dissociation is prevalent across a number of node-centric measures and is asymmetrical: disruption to the working memory subnetwork relates to both working memory and reasoning performance whereas disruption to the reasoning subnetwork relates to reasoning performance selectively. Machine learning analysis further supports this finding by demonstrating that network measures predict cognitive performance in patients in the same asymmetrical manner. These results accord with hierarchical models of working memory, where reasoning is dependent on the ability to first hold task-relevant information in working memory. We propose that this finer grained information may be useful for future applications that attempt to predict long-term outcomes or develop tailored therapies.





2015 ◽  
Vol 96 (1) ◽  
pp. 179-180 ◽  
Author(s):  
Dawn Neumann ◽  
Anthony Lequerica


Brain Injury ◽  
2018 ◽  
Vol 32 (5) ◽  
pp. 652-664 ◽  
Author(s):  
Hsiao-Yean Chiu ◽  
Wei Li ◽  
Jiann-Her Lin ◽  
Yu-Kai Su ◽  
En-Yuan Lin ◽  
...  


2009 ◽  
Author(s):  
Justin Kenardy ◽  
Joan Katherine Hendrikz ◽  
Robyn Le Brocque ◽  
Gregory Islen


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