| Literature DB >> 32411076 |
Min Kyeong Cho1, Sung Ho Jang1.
Abstract
Accurate diagnosis of the presence and severity of neural injury in patients with subarachnoid hemorrhage (SAH) is important in neurorehabilitation because it is essential for establishing appropriate therapeutic strategies and developing a prognosis. Diffusion tensor imaging has a unique advantage in the identification of microstructural white matter abnormalities which are not usually detectable on conventional brain magnetic resonance imaging. In this mini-review article, 12 diffusion tensor imaging studies on SAH-related brain injury were reviewed. These studies have demonstrated SAH-related brain injuries in various neural tracts or structures including the cingulum, fornix, hippocampus, dorsolateral prefrontal region, corticospinal tract, mamillothalamic tract, corticoreticular pathway, ascending reticular activating system, Papez circuit, optic radiation, and subcortical white matter. We believe that these reviewed studies provide information that would be helpful in science-based neurorehabilitation of patients with SAH. Furthermore, the results of these reviewed studies would also be useful for clarification of the pathophysiological mechanisms associated with SAH-related brain injury. However, considering the large number of neural tracts or neural structures in the brain, more research on SAH-related brain injury in other neural tracts or structures should be encouraged.Entities:
Keywords: brain injury; diffusion tensor imaging; diffusion tensor tractography; neural injury; subarachnoid hemorrhage
Year: 2020 PMID: 32411076 PMCID: PMC7198780 DOI: 10.3389/fneur.2020.00283
Source DB: PubMed Journal: Front Neurol ISSN: 1664-2295 Impact factor: 4.003
Figure 1Flow diagram for the selection of studies for review. SAH; subarachnoid hemorrhage.
Diffusion tensor imaging-based studies of spontaneous subarachnoid hemorrhage-related brain injury.
| Hong et al. ( | 11 | 54.1 days | ACoA | Cingulum, | Configuration | No detailed neuropsychological tests, Small number of subjects |
| Schweizer et al. ( | 1 | 303 days | Not described | Hippocampus, | Configuration | No control data, case study |
| Yeo et al. ( | 22 | 7.3 ± 3.1 weeks | Not described | Corticospinal tract | DTT parameters | No analysis of other motor tracts |
| Jang et al. ( | 16 | 5.7 ± 1.5 weeks | Not described | Mammillothalamic tract | DTT parameters | No detailed neuropsychological tests |
| Jang et al. ( | 17 | 6.2 weeks | ACoA:14pts | Corticoreticular pathway | DTT parameters | No detailed analysis of other motor tracts |
| Jang and Kim ( | 24 | 6.49 weeks | ACoA:14pts | Lower ARAS | DTT parameters | No analysis of other ARAS |
| Jang and Yeo ( | 1 | 3 months | ACoA | Papez circuit | Configuration | Case study |
| Jang and Seo ( | 1 | 4 weeks | PCoA | Optic radiation | (FA-,ADC-, FN↓) | Case study |
| Jang et al. ( | 21 | 5.9 weeks | ACoA:15pts | Optic radiation | DTT parameters | No visual field test |
| Darwazeh et al. ( | 21 | 8.92 ± 2.4 weeks | Not described | Mammillothalamic tract | DTT parameters | No detailed neuropsychological tests |
| Jang and Yeo ( | 1 | 9 weeks | MCA bifurcation | Precommissural Fornix | Configuration | Case study |
| Reijmer et al. ( | 49:SAH | 2 weeks | Not described | White matter | DTT parameters | Non-specific DTI analysis |
DTI, diffusion tensor imaging; DTT, diffusion tensor tractography; ACoA, anterior communicating artery; FA, fractional anisotropy; MD, mean diffusivity; TV, tract volume; PCoA, posterior communicating artery; ACA, anterior cerebral artery; ICA, Internal carotid artery; FV, fiber volume; MCA, middle cerebral artery; ARAS, ascending reticular activating system; ADC, apparent diffusion coefficient; FN, fiber number; SAH, subarachnoid hemorrhage.
Figure 2(A), CT showing a subarachnoid hemorrhage of one patient at onset (58 year-old woman). (B), Diffusion tensor tractographies for the corticospinal tract of the patient shown in (A) and one normal control subject (41 year-old man). (C), Images show 5 regions of interest along the corticospinal tract pathway [reprinted with permission from Yeo et al. (5)].