Functional connectome hierarchy of thalamus impacts fatigue in acute stroke patients.

This study aimed to explore the topographic features of thalamic subregions, functional connectomes and hierarchical organizations between thalamus and cortex in poststroke fatigue patients. We consecutively recruited 121 acute ischemic stroke patients (mean age: 59 years) and 46 healthy controls matched for age, sex, and educational level. The mean age was 59 years (range 19-80) and 38% of acute stroke patients were females. Resting-state functional and structural magnetic resonance imaging were conducted on all participants. The fatigue symptoms were measured using the Fatigue Severity Scale. The thalamic functional subdivisions corresponding to the canonical functional network were defined using the winner-take-all parcellation method. Thalamic functional gradients were derived using the diffusion embedding analysis. The results suggested abnormal functional connectivity of thalamic subregions primarily located in the temporal lobe, posterior cingulate gyrus, parietal lobe, and precuneus. The thalamus showed a gradual increase from the medial to the lateral in all groups, but the right thalamus shifted more laterally in poststroke fatigue patients than in non- poststroke fatigue patients. Poststroke fatigue patients also had higher gradient scores in the somatomotor network and the right medial prefrontal and premotor thalamic regions, but lower values in the right lateral prefrontal thalamus. The findings suggested that poststroke fatigue patients had altered functional connectivity and thalamocortical hierarchical organizations, providing new insights into the neural mechanisms of the thalamus.

Thalamic network under wakefulness after sleep onset and its coupling with daytime fatigue in insomnia disorder: An EEG-fMRI study.

BACKGROUND: Fatigue is the most common daytime impairment of insomnia disorder (ID). Thalamus is acknowledged as the key brain region closely associated with fatigue. However, the thalamus-based neurobiological mechanisms of fatigue in patients with ID remain unknown. METHODS: Forty-two ID patients and twenty-eight well-matched healthy controls (HCs) underwent simultaneous electroencephalography--functional magnetic resonance imaging. We calculated the functional connectivity (FC) between the thalamic seed and each voxel across the whole brain in two conditions of wakefulness--after sleep onset (WASO) and before sleep onset. A linear mixed effect model was used to determine the condition effect of the thalamic FC. The correlation between daytime fatigue and the thalamic connectivity was explored. RESULTS: After sleep onset, the connectivity with the bilateral thalamus was increased in the cerebellar and cortical regions. Compared with HCs, ID patients showed significantly lower FC between left thalamus and left cerebellum under the WASO condition. Furthermore, thalamic connectivity with cerebellum under the WASO condition was negatively correlated with Fatigue Severity Scale scores in the pooled sample. CONCLUSIONS: These findings contribute to an emerging framework that reveals the link between insomnia-related daytime fatigue and the altered thalamic network after sleep onset, further highlighting the possibility that this neural pathway is a therapeutic target for meaningfully mitigating fatigue.

Multisensory mental imagery of fatigue: Evidence from an fMRI study.

Functional imaging experimental designs measuring fatigue, defined as a subjective lack of physical and/or mental energy characterizing a wide range of neurologic conditions, are still under development. Nineteen right-handed healthy subjects (9 M and 10 F, mean age 43.15 ± 8.34 years) were evaluated by means of functional magnetic resonance imaging (fMRI), asking them to perform explicit, first-person, mental imagery of fatigue-related multisensory sensations. Short sentences designed to assess the principal manifestations of fatigue from the Multidimensional Fatigue Symptom Inventory were presented. Participants were asked to imagine the corresponding sensations (Sensory Imagery, SI). As a control, they had to imagine the visual scenes (Visual Imagery, VI) described in short phrases. The SI task (vs. VI task) differentially activated three areas: (i) the precuneus, which is involved in first-person perspective taking; (ii) the left superior temporal sulcus, which is a multisensory integration area; and (iii) the left inferior frontal gyrus, known to be involved in mental imagery network. The SI fMRI task can be used to measure processing involved in mental imagery of fatigue-related multisensory sensations.

Thalamic shape abnormalities in patients with multiple sclerosis-related fatigue.

Thalamus plays an important role in the pathogenesis of multiple sclerosis-related fatigue (MSrF). However, the thalamus is a heterogeneous structure and the specific thalamic subregions that are involved in this condition are unclear. Here, we used thalamic shape analysis for the detailed localization of thalamic abnormalities in MSrF. Using the Modified Fatigue Impact Scale, we measured fatigue in 42 patients with relapsing-remitting multiple sclerosis (MS). The thalamic shape was extracted from T1w images using an automated pipeline. We investigated the association of thalamic surface deviations with the severity of global fatigue and its cognitive, physical and psychosocial subdomains. Cognitive fatigue was correlated with an inward deformity of the left anteromedial thalamic surface, but no other localized shape deviation was observed in correlation with global, physical or psychosocial fatigue. Our findings indicate that the left anteromedial thalamic subregions are implicated in cognitive fatigue, possibly through their role in reward processing and cognitive and executive functions.

Phosphorus magnetic resonance spectroscopy and fatigue in multiple sclerosis.

Fatigue stands among the most debilitating multiple sclerosis (MS) manifestations. Several pathophysiological mechanisms have been proposed at its origin. However, unmet needs still exist, and further investigations are required to better understand and manage this complaint. A new imaging modality-the phosphorous magnetic resonance spectroscopy (31P-MRS)-might help studying fatigue by allowing the measurement of energy metabolites of various cerebral regions. Therefore, this work aimed to explore the association between fatigue and brain energy status. Thirty MS patients with progressive disease forms completed the study. Their sociodemographic and clinical data including fatigue and disability scores [i.e., Fatigue Severity Scale (FSS) and Expanded Disability Status Scale (EDSS)] were collected. 31P-MRS spectra of (1) bilateral frontoparietal area and (2) centrum semiovale normal appearing white matter (NAWM) were obtained. Percentages of phosphocratine and ß-adenosine triphosphate (ß-ATP) were calculated. FSS scores were found to be directly correlated with the frontoparietal ß-ATP % (p < 0.05). However, there were no significant correlations between FSS scores and NAWM energy metabolites or clinical data (i.e., age, EDSS scores or disease duration). These findings point toward the existence of a link between fatigue severity and the amount of cerebral ATP metabolites. Such a link might reflect either a high production or low utilization of ATP, both of which were paralleled with increased fatigue perception. While the former would be due to a redistribution of ion channels along demyelinated axons and subsequent changes in mitochondrial activity; the latter could be interpreted in the light of neuronal loss which would lead to a decrease in ATP utilization and accumulation of its metabolites.

Fatigue in multiple sclerosis: The role of thalamus.

Fatigue is very common in multiple sclerosis (MS) and is often considered as its most disabling symptom. Over the last 20 years, an increasing number of studies have evaluated the pathogenetic bases of MS-related fatigue. Converging evidence from neurophysiology and neuroimaging research suggests that a dysfunction in a cortico-subcortical pathway, centered on thalamus, is involved in the pathogenesis of fatigue. However, type and significance of such dysfunction remain unknown, and some studies reported an increase in the activity and connectivity within the thalamic network, whereas others suggested its reduction. Hereby, we review the results of neuroimaging studies supporting the different hypotheses about the role of thalamic network in the pathophysiology of MS-related fatigue and discuss limitations and shortcomings of available data, highlighting the key challenges in the field and the directions for future research.

Sleep disturbances and gastrointestinal dysfunction are associated with thalamic atrophy in Parkinson's disease.

BACKGROUND: Non-motor symptoms are common aspects of Parkinson's disease (PD) occurring even at the prodromal stage of the disease and greatly affecting the quality of life. Here, we investigated whether non-motor symptoms burden was associated with cortical thickness and subcortical nuclei volume in PD patients. METHODS: We studied 41 non-demented PD patients. Non-motor symptoms burden was assessed using the Non-Motor Symptoms Scale grading (NMSS). Cortical thickness and subcortical nuclei volume analyses were carried out using Free-Surfer. PD patients were divided into two groups according to the NMSS grading: mild to moderate (NMSS: 0-40) and severe (NMSS: ≥ 41) non-motor symptoms. RESULTS: Thalamic atrophy was associated with higher NMSQ and NMSS total scores. The non-motor symptoms that drove this correlation were sleep/fatigue and gastrointestinal tract dysfunction. We also found that PD patients with severe non-motor symptoms had significant thalamic atrophy compared to the group with mild to moderate non-motor symptoms. CONCLUSIONS: Our findings show that greater non-motor symptom burden is associated with thalamic atrophy in PD. Thalamus plays an important role in processing sensory information including visceral afferent from the gastrointestinal tract and in regulating states of sleep and wakefulness.

Predicting Modafinil-Treatment Response in Poststroke Fatigue Using Brain Morphometry and Functional Connectivity.

Background and Purpose- Poststroke fatigue affects a large proportion of stroke survivors and is associated with a poor quality of life. In a recent trial, modafinil was shown to be an effective agent in reducing poststroke fatigue; however, not all patients reported a significant decrease in fatigue with therapy. We sought to investigate clinical and radiological predictors of fatigue reduction with modafinil therapy in a stroke survivor cohort. Methods- Twenty-six participants with severe fatigue (multidimensional fatigue inventory-20 ≥60) underwent magnetic resonance imaging at baseline and during the last week of a 6-week treatment period of 200 mg modafinil taken daily. Resting-state functional magnetic resonance imaging and high-resolution structural imaging data were obtained, and functional connectivity and regional brain volumes within the fronto-striato-thalamic network were obtained. Linear regression analysis was used to identify predictors of modafinil-induced fatigue reduction. Results- Multiple regression analysis showed that baseline multidimensional fatigue inventory-20 score (ß=0.576, P=0.006) and functional connectivity between the dorsolateral prefrontal cortex and the caudate nucleus (ß=-0.424, P=0.008) were significant predictors of modafinil-associated decreases in poststroke fatigue (adjusted r2=0.52, area under the receiver operator characteristic curve=0.939). Conclusions- Fronto-striato-thalamic functional connectivity predicted modafinil response for poststroke fatigue. Fatigue in other neurological disease has been attributed to altered function of the fronto-striato-thalamic network and may indicate that poststroke fatigue has a similar mechanism to other neurological injury related fatigue. Self-reported fatigue in patients with normal fronto-striato-thalamic functional connectivity may have a different mechanism and require alternate therapeutic approaches. Clinical Trial Registration- URL: https://www.clinicaltrials.gov . Unique identifier: ACTRN12615000350527.

Cerebral patterns of neuropsychological disturbances in hepatitis C patients.

Neuropsychiatric symptoms and cognitive impairment have been consistently reported in patients with hepatitis C virus (HCV) infection. Since the mechanisms behind remain to be established, the present study attempted to assess whether neuropsychological impairments in HCV-infected patients are accompanied by structural alterations in the brain. Therefore, 19 anti-HCV-antibody-positive women with mild liver disease and 16 healthy controls underwent extensive neuropsychological testing and cranial magnetic resonance imaging (MRI) examination. Nine of the patients and five controls were followed up after 6-7 years. Voxel-based morphometry and magnetization transfer imaging were utilized to study HCV-associated structural gray and white matter changes. The HCV-infected patients had significantly worse fatigue and depression scores and significantly poorer performance on attention and memory tests than controls. The patients displayed gray matter (GM) atrophy in the bilateral insula and thalamus and a profound GM volume increases in the cerebellum. Microstructural GM changes in the insula were also evident by a reduced magnetization transfer ratio. Structural white matter changes were observed along several descending and crossing fiber tracts. Follow-up at 7 years revealed increased GM atrophy in the left amygdala and left parahippocampal regions over time. We conclude that our data provide evidence for structural alterations in the brains of patients with chronic HCV infection. Disturbances of cerebellothalamocortical regions and circuits, linking cerebellar projections to the prefrontal cortex through the thalamus, underpin the emotional and cognitive dysfunction characteristically observed in these patients.

Hypothalamic damage in multiple sclerosis correlates with disease activity, disability, depression, and fatigue.

OBJECTIVES: Disturbances in the hypothalamo-pituitary axis are supposed to modulate activity of multiple sclerosis (MS). We hypothesised that the extent of HYP damage may determine severity of MS and may be associated with the disease evolution. We suggested fatigue and depression may depend on the degree of damage of the area. METHOD: 33 MS patients with relapsing-remitting and secondary progressive disease, and 24 age and sex-related healthy individuals (CON) underwent 1H-MR spectroscopy (1H-MRS) of the hypothalamus. Concentrations of glutamate + glutamin (Glx), cholin (Cho), myoinositol (mIns), N-acetyl aspartate (NAA) expressed as ratio with creatine (Cr) and NAA were correlated with markers of disease activity (RIO score), Multiple Sclerosis Severity Scale (MSSS), Depressive-Severity Status Scale and Simple Numerical Fatigue Scale. RESULTS: Cho/Cr and NAA/Cr ratios were decreased and Glx/NAA ratio increased in MS patients vs CON. Glx/NAA, Glx/Cr, and mIns/NAA were significantly higher in active (RIO 1-2) vs non-active MS patients (RIO 0). Glx/NAA and Glx/Cr correlated with MSSS and fatigue score, and Glx/Cr with depressive score of MS patients. In CON, relationships between Glx/Cr and age, and Glx/NAA and fatigue score were inverse. CONCLUSION: Our study provides the first evidence about significant hypothalamic alterations correlating with clinical outcomes of MS, using 1H-MRS. The combination of increased Glu or mIns with reduced NAA in HYP reflects whole-brain activity of MS. In addition, excess of Glu is linked to severe disease course, depressive mood and fatigue in MS patients, suggesting superiority of Glu over other metabolites in determining MS burden.

Fatigue in multiple sclerosis.

Fatigue is among the most common, yet least understood, symptoms of multiple sclerosis (MS) [1.]. It can profoundly disrupt the occupational and social functioning of patients, and is recognized as a criterion for MS disability by the Social Security Administration. Most approaches to fatigue assessment can be classified as either self-report scales or performance-based measures of motor or cognitive output. During the clinical management of fatigue, it is important to consider the role of other MS symptoms on fatigue, as well as that of non-MS-related medical conditions. Management of fatigue in MS often entails both pharmacologic and behavioral components. This article reviews recent developments in the assessment, treatment, and pathogenesis of MS fatigue.