Objective:To investigate the differences in brain age and brain age gap (BAG) between patients with prolonged disorders of consciousness (pDoC) and healthy controls (HC).Methods:A retrospective cross-sectional study was performed; 43 patients with pDoC admitted to Rehabilitation Medicine Center, Zhujiang Hospital, Southern Medical University from January 2020 to October 2022 were enrolled; 26 healthy volunteers recruited at the same time and 187 healthy subjects from the publicly available healthy control dataset Nathan Kline Institute-Rockland Sample (NKI-RS) were chosen as HC group. The clinical and imaging data of these subjects were collected. A brain age estimation model was constructed based on amplitude of low-frequency fluctuation (ALFF) in resting-state functional magnetic resonance imaging (rs-fMRI) for healthy individuals, and the pDoC group was used as the test set. A two-sample t-test was used to compare the brain age and BAG differences between the pDoC group and HC group. Pearson correlation analysis was used to explore the correlation between BAG and coma recovery scale-revised (CRS-R) in the pDoC group. Results:The chronological age and estimated brain age in the HC group were (41.54±9.61) and (42.32±10.65) years, respectively, without significant difference ( t=-0.254, P=0.801). The chronological age and estimated brain age in the pDoC group were (49.91±12.03) and (62.79±15.00) years, respectively, with significant difference ( t=-4.341, P<0.001). The BAG in the HC and pDoC groups were (0.78±4.59) and (12.88±7.17) years, respectively, with significant difference ( t=-7.822, P<0.001). Correlation analysis results showed that in the pDoC patients, no correlation was noted between BAG and CRS-R score on the day of imaging scan or 6 months after the day of imaging scan ( r=0.090, P=0.738; r=0.205, P=0.674); no correlation was noted between BAG and difference in CRS-R score (difference value of CRS-R score 6 months after the day of imaging scan-CRS-R score on the day of imaging scan, r=0.246, P=0.687). Conclusion:Compared with the HC subjects, patients with pDoC exhibit an abnormal increase in brain age, suggesting that pDoC caused by severe brain injury may lead to accelerated brain aging.

Objective:To investigate the differences in brain age and brain age gap (BAG) between patients with prolonged disorders of consciousness (pDoC) and healthy controls (HC).Methods:A retrospective cross-sectional study was performed; 43 patients with pDoC admitted to Rehabilitation Medicine Center, Zhujiang Hospital, Southern Medical University from January 2020 to October 2022 were enrolled; 26 healthy volunteers recruited at the same time and 187 healthy subjects from the publicly available healthy control dataset Nathan Kline Institute-Rockland Sample (NKI-RS) were chosen as HC group. The clinical and imaging data of these subjects were collected. A brain age estimation model was constructed based on amplitude of low-frequency fluctuation (ALFF) in resting-state functional magnetic resonance imaging (rs-fMRI) for healthy individuals, and the pDoC group was used as the test set. A two-sample t-test was used to compare the brain age and BAG differences between the pDoC group and HC group. Pearson correlation analysis was used to explore the correlation between BAG and coma recovery scale-revised (CRS-R) in the pDoC group. Results:The chronological age and estimated brain age in the HC group were (41.54±9.61) and (42.32±10.65) years, respectively, without significant difference ( t=-0.254, P=0.801). The chronological age and estimated brain age in the pDoC group were (49.91±12.03) and (62.79±15.00) years, respectively, with significant difference ( t=-4.341, P<0.001). The BAG in the HC and pDoC groups were (0.78±4.59) and (12.88±7.17) years, respectively, with significant difference ( t=-7.822, P<0.001). Correlation analysis results showed that in the pDoC patients, no correlation was noted between BAG and CRS-R score on the day of imaging scan or 6 months after the day of imaging scan ( r=0.090, P=0.738; r=0.205, P=0.674); no correlation was noted between BAG and difference in CRS-R score (difference value of CRS-R score 6 months after the day of imaging scan-CRS-R score on the day of imaging scan, r=0.246, P=0.687). Conclusion:Compared with the HC subjects, patients with pDoC exhibit an abnormal increase in brain age, suggesting that pDoC caused by severe brain injury may lead to accelerated brain aging.

Objective To evaluate the changes of brain metabolism with 18F-fluorodeoxyglucose (FDG) PET/CT in patients with disorders of consciousness (DOC).Methods This retrospective study,from January 2007 to October 2016,included 40 patients (26 males,14 females,age range:17-73 years)in the vegetative state (VS),12 patients (11 males,1 female,age range:25-53 years) in the minimally conscious state (MCS),and 11 patients (10 males,1 female,age range:12-68 years) in the state of recovering from DOC.All patients underwent 18F-FDG PET/CT imaging.The standardized uptake value (SUV) of multiple brain areas among 3 groups of patients was calculated and compared.One-way analysis of variance was used for data analysis.Results The SUV in different encephalic regions among 3 groups were significantly different (F values:6.214-13.642,all P＜0.01) except for mesencephalon.Compared with MCS group,the SUV of cerebral cortex of VS group was lower (t values:2.263-3.548,all P＜0.05).Compared with the recovered group,the SUV of cerebral cortex and cerebellum of VS group was lower (t values:1.299-5.136,all P＜0.05).Compared with the recovered group,the SUV of parietal lobe,temporal lobe,occipital lobe,thalamus and cerebellum of MCS group was lower (t values:1.962-2.841,all P＜0.05).Conclusion 18F-FDG PET/CT may be significant in evaluating brain function of DOC patients.

Adult ; Aged ; Coma ; physiopathology ; Consciousness ; physiology ; Consciousness Disorders ; physiopathology ; therapy ; Female ; Humans ; Male ; Middle Aged ; Persistent Vegetative State ; physiopathology ; Photic Stimulation ; methods ; Recovery of Function ; physiology ; Treatment Outcome

Visual fixation is an item in the visual function subscale of the Coma Recovery Scale-Revised (CRS-R). Sometimes clinicians using the behavioral scales find it difficult to detect because of the motor impairment in patients with disorders of consciousness (DOCs). Brain-computer interface (BCI) can be used to improve clinical assessment because it directly detects the brain response to an external stimulus in the absence of behavioral expression. In this study, we designed a BCI system to assist the visual fixation assessment of DOC patients. The results from 15 patients indicated that three showed visual fixation in both CRS-R and BCI assessments and one did not show such behavior in the CRS-R assessment but achieved significant online accuracy in the BCI assessment. The results revealed that electroencephalography-based BCI can detect the brain response for visual fixation. Therefore, the proposed BCI may provide a promising method for assisting behavioral assessment using the CRS-R.
Adolescent ; Adult ; Aged ; Brain ; physiopathology ; Brain-Computer Interfaces ; Consciousness Disorders ; diagnosis ; physiopathology ; Diagnosis, Computer-Assisted ; methods ; Electroencephalography ; methods ; Evoked Potentials ; Female ; Fixation, Ocular ; physiology ; Humans ; Male ; Middle Aged ; Neurologic Examination ; Pilot Projects ; Severity of Illness Index ; User-Computer Interface

A number of studies have indicated that disorders of consciousness result from multifocal injuries as well as from the impaired functional and anatomical connectivity between various anterior forebrain regions. However, the specific causal mechanism linking these regions remains unclear. In this study, we used spectral dynamic causal modeling to assess how the effective connections (ECs) between various regions differ between individuals. Next, we used connectome-based predictive modeling to evaluate the performance of the ECs in predicting the clinical scores of DOC patients. We found increased ECs from the striatum to the globus pallidus as well as from the globus pallidus to the posterior cingulate cortex, and decreased ECs from the globus pallidus to the thalamus and from the medial prefrontal cortex to the striatum in DOC patients as compared to healthy controls. Prediction of the patients' outcome was effective using the negative ECs as features. In summary, the present study highlights a key role of the thalamo-basal ganglia-cortical loop in DOCs and supports the anterior forebrain mesocircuit hypothesis. Furthermore, EC could be potentially used to assess the consciousness level.
Adult ; Bayes Theorem ; Connectome ; Consciousness Disorders ; diagnostic imaging ; physiopathology ; Female ; Humans ; Machine Learning ; Magnetic Resonance Imaging ; Male ; Middle Aged ; Neural Pathways ; diagnostic imaging ; physiopathology ; Prognosis ; Prosencephalon ; diagnostic imaging ; physiopathology ; Young Adult

With the global warming, the incidence of heat stroke was significantly higher than before. Severe heat stroke has a high mortality, high morbidity and consolidated central nervous system injury characteristics. The main features of severe heat stroke cerebral injury include cognitive impairment, delirium, convulsions and coma. Its mechanism is related with heat shock induced cerebral tissue ischemia and hypoxia, vascular dysfunction, secondary cascade inflammation and so on. Currently, the main treatment of heat stroke cerebral injury is the hypothermia therapy, dehydration for the reduction of intracranial pressure, naloxone and other cerebral protection and nutrition treatments. Hyperbaric oxygen therapy (HBOT) is effective in treating brain injury. HBOT can alleviate tissue ischemia and hypoxia, improve circulation, reduce cerebral edema, and anti-inflammatory, anti-oxidative damage, anti-apoptosis and other molecular biological effects. HBOT also play a wake up-promoting effect of nerve repair in the cerebral injury. The treatment of cerebral injury has been the difficulty and weakness of heat stroke research. Therefore, this article reviewed the epidemiology, pathogenesis, the therapeutic effect and mechanism of hyperbaric oxygen on cerebral injury in severe heat stroke to clarify the advantages of HBOT and to provide experimental basis for further research.

BACKGROUND: It is of great importance to study the genotype distribution of hereditary ataxia in understanding its epidemiologic rule and pathogenetic pathway.OBJECTIVE: To analyze the distribution of different genotype of hereditary ataxia in south China.DESIGN: A case-control observation.SETTING: Department of Neurology, the First Affiliated Hospital of Sun Yat-sen University.PARTICIPANTS: Forty-three patients (26 males and 17 females) with hereditary ataxia from 36 families and 38 patients with sporadic hereditary ataxia (24 males and 14 females) were selected from the Outpatient Clinic of Neurogenetics, Department of Neurology, the First Affiliated Hospital of Sun Yat-sen University between September 1998 and September 2002. At the same time, 60 healthy individuals from the patients' families and 44randomly-selected healthy physical examinees were taken as controls. All the participants were enrolled voluntarily.METHODS: The fragments of trinucleotide repeats at different sites of mutant genes were amplified with polymerase chain reaction (PCR), and then the lengths were calculated with polyacrylamide gel electrophoresis and imaging analytical software. The repeated numbers of trinucleotide repeats in all the normal and abnormal amplified alleles were calculated respectively.MAIN OUTCOME MEASURES: Different genotype distribution in patients with hereditary ataxia.RESULTS: All the subjects were involved in the analysis of results. Of the detected patients with hereditary ataxia, the Machado-Joseph disease/spinocerebellar ataxia (SCA) 3 was the most common type of autosomal dominant SCA in South China, which was 42.0%, and was followed by SCA2 (7.4%), SCA1 (4.9%), SCA7 (3.7%), SCA6 (2.5%), SCA12 (1.2%).No patient was detected to have SCA8 SCA 10, SCA 17 dentatorubropallidoluysian atrophy (DRPLA) and Friedreich ataxia (FRDA).CONCLUSION: Autosomal dominant SCA3 is the most familiar genotype in South China. Clinical detection of hereditary ataxia should be done firstly aiming at the SCA3 genotype.