| Literature DB >> 31920931 |
Jiaxi Li1,2,3, Xingju Liu1,2,3, Dong Zhang1,2,3, Yan Zhang1,2,3, Rong Wang1,2,3, Jing Yuan4, Jizong Zhao1,2,3.
Abstract
Object: Moyamoya disease affects the cognitive function of pediatric patients, and compromised cerebral blood flow might be the potential cause. We aimed to explore the specific correlation between cognitive impairment and regional perfusion status in pediatric moyamoya disease patients.Entities:
Keywords: arterial spin labeling MRI; cognitive impairment; correlations; moyamoya disease; pediatric
Year: 2019 PMID: 31920931 PMCID: PMC6920207 DOI: 10.3389/fneur.2019.01308
Source DB: PubMed Journal: Front Neurol ISSN: 1664-2295 Impact factor: 4.003
Basic characteristics.
| Age | 11.14 ± 2.82 |
| Female sex | 10 (47.6) |
| Age at disease onset | 9.62 ± 3.01 |
| Duration of symptoms (Months) | 19.33 ± 24.07 |
| Time since last onset (Months) | 7.42 ± 17.70 |
| One episode | 10 (47.6) |
| 2–4 episodes | 7 (33.3) |
| ≥5 episodes | 4 (19.0) |
| Hemorrhage | 5 (23.8) |
| Cerebral infarction | 3 (14.3) |
| Transient ischemic attack | 11 (52.4) |
| Other | 2 (9.5) |
| Previous cerebral infarction | 6 (28.6) |
| 0 | 18 (85.7) |
| 1 | 2 (9.5) |
| 2 | 1 (4.8) |
| I | 0 (0) |
| II | 5 (23.8) |
| III | 9 (42.9) |
| IV | 6 (28.6) |
| V | 1 (4.8) |
| VI | 0 (0) |
| I | 4 (19.0) |
| II | 2 (9.5) |
| III | 5 (23.8) |
| IV | 8 (38.1) |
| V | 2 (9.5) |
| VI | 0 (0) |
Values are numbers of cases (%) unless otherwise indicated. Mean values are presented with SDs.
Distribution of index scores.
| VCI | 96.76 ± 20.1 | 14 (66.67) | 5 (23.81) | 2 (9.52) | 0 (0) |
| PRI | 89.14 ± 15.61 | 11 (52.38) | 9 (42.86) | 0 (0) | 1 (4.76) |
| WMI | 92.76 ± 18.04 | 15 (71.43) | 4 (19.05) | 2 (9.52) | 0 (0) |
| PSI | 91.14 ± 20.32 | 12 (57.14) | 6 (28.57) | 3 (14.29) | 0 (0) |
| FSIQ | 91.71 ± 19.44 | 12 (57.14) | 7 (33.33) | 2 (9.52) | 0 (0) |
Presented as number of cases (with percentage of all participants). Mild impairment: score <85; moderate impairment: score <70; severe impairment: score <55.
Figure 1Distribution of WISC-IV Index scores. (A) Distribution of cognitive impairment severity represented by different index scores. (B) Distribution of WISC-IV index scores. Upper and lower edges of black boxes denote the third and first quantile of index scores, and white dots denote means of index scores. P-value of t-test comparing index scores of participants to the mean scores of normative data were presented.
Figure 2Relationships between Clinical Characteristics and Cognitive Index scores.
Figure 3Correlations between Full-scale Intelligence Quotient and Suzuki Stage.
Figure 4Spatial Distribution of Cerebral Blood Flow of Pediatric Moyamoya Disease Patients. Values were standardized by dividing cerebellar CBF for each individual and then collectively analyzed.
Figure 5Correlation Coefficient between Lobular Relative Cerebral Blood Flow and Index Scores of WISC-IV. Correlations with statistical significance are emphasized with colored frames.
Association between Regional CBF and WISC-IV Scores.
| Left temporal | 0.484 | 0.068 | 0.535 | 0.041 | 0.460 | 0.062 |
| Left parietal | 0.366 | 0.179 | 0.329 | 0.232 | 0.307 | 0.232 |
| Left occipital | 0.563 | 0.096 | 0.490 | 0.154 | 0.491 | 0.124 |
Standardized regression coefficients (β) were presented.
All coefficients were adjusted by sex, onset type, symptom duration, and ipsilateral Suzuki stage.