Determinant of Quality of Life in Patients with Chronic Cerebral Infarct

This study investigated how physical and cognitive function and psychological factors affected the health-related quality of life (HRQoL, hereafter HQ) of stroke patients in South Korea. The study enrolled 32 right-handed subjects with chronic cerebral infarction with disability and preserved cognitive function (Mini-Mental State Examination ≥ 20). Physical disability was assessed using the modified Rankin Scale (mRS) and Korean modified Barthel Index (KMBI). Quality of life was measured using the World Health Organization Quality of Life-Abbreviated form (WHOQOL-BREF, hereafter WB) and the 36-Item Short-form Health Survey (SF-36) in face-to-face interviews. Psychological distress was investigated using the Beck Depression Inventory Scale-II. The associations of each domain of WB and SF-36 were investigated using Pearson correlation analyses. Physical disability was negatively correlated with HQ in the SF-36. The physical function and bodily pain scales of the SF-36 were negatively correlated with physical disability. The general health domain of the SF-36 was negatively correlated with psychological scores. Emotional status was associated with physical health, social relationships, and general health in HQ. In summary, the severity of physical disability was associated with the patient's general and physical health and body pain. These findings suggest the importance of psychological, cognitive, and physiological interventions for improving the quality of life of patients after cerebral infarction.

Determinant of Quality of Life in Patients with Chronic Cerebral Infarct

This study investigated how physical and cognitive function and psychological factors affected the health-related quality of life (HRQoL, hereafter HQ) of stroke patients in South Korea. The study enrolled 32 right-handed subjects with chronic cerebral infarction with disability and preserved cognitive function (Mini-Mental State Examination ≥ 20). Physical disability was assessed using the modified Rankin Scale (mRS) and Korean modified Barthel Index (KMBI). Quality of life was measured using the World Health Organization Quality of Life-Abbreviated form (WHOQOL-BREF, hereafter WB) and the 36-Item Short-form Health Survey (SF-36) in face-to-face interviews. Psychological distress was investigated using the Beck Depression Inventory Scale-II. The associations of each domain of WB and SF-36 were investigated using Pearson correlation analyses. Physical disability was negatively correlated with HQ in the SF-36. The physical function and bodily pain scales of the SF-36 were negatively correlated with physical disability. The general health domain of the SF-36 was negatively correlated with psychological scores. Emotional status was associated with physical health, social relationships, and general health in HQ. In summary, the severity of physical disability was associated with the patient's general and physical health and body pain. These findings suggest the importance of psychological, cognitive, and physiological interventions for improving the quality of life of patients after cerebral infarction.

Determinant of Quality of Life in Patients with Chronic Cerebral Infarct

This study investigated how physical and cognitive function and psychological factors affected the health-related quality of life (HRQoL, hereafter HQ) of stroke patients in South Korea. The study enrolled 32 right-handed subjects with chronic cerebral infarction with disability and preserved cognitive function (Mini-Mental State Examination ≥ 20). Physical disability was assessed using the modified Rankin Scale (mRS) and Korean modified Barthel Index (KMBI). Quality of life was measured using the World Health Organization Quality of Life-Abbreviated form (WHOQOL-BREF, hereafter WB) and the 36-Item Short-form Health Survey (SF-36) in face-to-face interviews. Psychological distress was investigated using the Beck Depression Inventory Scale-II. The associations of each domain of WB and SF-36 were investigated using Pearson correlation analyses. Physical disability was negatively correlated with HQ in the SF-36. The physical function and bodily pain scales of the SF-36 were negatively correlated with physical disability. The general health domain of the SF-36 was negatively correlated with psychological scores. Emotional status was associated with physical health, social relationships, and general health in HQ. In summary, the severity of physical disability was associated with the patient's general and physical health and body pain. These findings suggest the importance of psychological, cognitive, and physiological interventions for improving the quality of life of patients after cerebral infarction.

The Changes for Strength of Oropharyngeal Muscles in Patients with Dementia and Dysphagia

Although dysphagia is an important health problem and one of the determinants of quality of life in patients with dementia, the neurophysiologic changes of dysphagia in dementia have not been fully uncovered, yet. we investigated the changes of strength of tongue lip and pharyngeal muscles in patients with dementia. This study included 30 subjects with dementia. In all subjects, clinical assessments consisted of the Iowa Oral Performance Instrument (IOPI) for tongue and lip, surface electromyography (sEMG) with Vital stim plus on suprahyoid muscles, the Mini-Mental State Examination, and Clinical Dementia Rating (CDR) scales. All subjects were classified into 3 groups according to severity; CDR 1, 2, and 3. There was no difference between IOPI and sEMG among all 3 groups. The values of tongue and lip IOPI from all 3 dementia groups were significantly lower than values of control. The comparisons for values of tongue and lip IOPI among 3 dementia group were not different from each other. The sEMG of suprahyoid muscles were not different between all 3 dementia groups and control. These findings are supportive of dysphagia therapy for oral phase would be beneficial for the restoration of swallowing function in patients with dementia and dysphagia.

Delayed Extensive White Matter Injury Caused by a Subdural Hemorrhage and Role of Corticospinal Tract Integrity

A subdural hemorrhage (SDH) is a common disorder with usually good prognosis. Most SDHs resolve with or without with minimal sequelae. We present a case report of a patient with SDH, who had delayed extensive white matter injury with disruptions of corticospinal tracts (CSTs) by diffusion tensor imaging (DTI) and showed abysmal prognosis, despite long-term rehabilitation. A 62-year-old man with an SDH underwent burr hole trephination for hematoma removal. Within 7 days, the hemorrhage diminished. At 12 weeks after the onset, the patient's weakness did not improve, and a follow-up magnetic resonance imaging revealed extensive leukomalacia, especially in the white matter. The DTI for CST revealed severe injury of CST integrity. He did not re-gain muscle strength and functional independence, despite 3 months of inpatient rehabilitation. This case describes SDH with delayed extensive white matter injury and exceptional poor prognosis and urges caution in that the SDH may induce very variable functional recovery. Besides, DTI for CST would be useful in predicting the long-term functional prognosis in extensive white matter injury.

Prognosis and Recovery of Motor Function with Lesion–Symptom Mapping in Patients with Stroke

Although studies have demonstrated that several specific brain lesions are related to the recovery and functional prognosis in patients with stroke, it still remained to be illusive. Modern imaging techniques make us possible to identify regions that are commonly related to specific deficit. Superimposing individual lesions to identify an area related to a particular function is based on the assumption that these functional modules are in the same location in different individuals. It is traditional to overlay plots using ‘lesion subtraction.’ Additionally, voxel-based lesion-symptom mapping (VLSM) can be used to determine relationships between behavioral measures and its neural correlates in the brain. VLSM estimates statistical parameters on a voxel-by-voxel basis by calculating the correlations between t-scores for tasks and treating voxels as subjects, allowing fairly high spatial precision. Understanding their relative merits with regard to specific brain lesions should be useful in planning rehabilitation strategies and will become an important part of neurorehabilitation.

The Prognosis and Recovery of Aphasia Related to Stroke Lesion

OBJECTIVE: To investigate the effects of specific brain lesions on prognosis and recovery of post-stroke aphasia, and to assess the characteristic pattern of recovery. METHODS: Total of 15 subjects with first-ever, left hemisphere stroke, who were right handed, and who completed language assessment using the Korean version of the Western Aphasia Battery (K-WAB) at least twice during the subacute and chronic stages of stroke, were included. The brain lesions of the participants were evaluated using MRI-cron, SPM8, and Talairach Daemon software. RESULTS: Subtraction of the lesion overlap map of the participants who showed more than 30% improvement in the aphasia quotient (AQ) by the time of their chronic stage (n=9) from the lesion overlap map of those who did not show more than 30% improvement in the AQ (n=6) revealed a strong relationship with Broca's area, inferior prefrontal gyrus, premotor cortex, and a less strong relationship with Wernicke's area and superior and middle temporal gyri. The culprit lesion related to poor prognosis, after grouping the subjects according to their AQ score in the chronic stage (a cut score of 50), revealed a strong relationship with Broca's area, superior temporal gyrus, and a less strong relationship with Wernicke's area, prefrontal cortex, and inferior frontal gyrus. CONCLUSION: Brain lesions in the Broca's area, inferior prefrontal gyrus, and premotor cortex may be related to slow recovery of aphasia in patients with left hemisphere stroke. Furthermore, involvement of Broca's area and superior temporal gyrus may be associated with poor prognosis of post-stroke aphasia.