Increased Connectivity of Thalamocortical Tract/Occipital Cortex Concurrent with Recovery of Impaired Consciousness in a Stroke Patient: A Diffusion Tensor Tractography Study: A Case Report

Author(s):  
Sung Ho Jang ◽  
Jae Woon Kim ◽  
Sung Jun Lee

Abstract Background: Little has been reported about the role of the occipital cortex in the recovery from impaired consciousness. In this case report, we report on a stroke patient who showed increased connectivity of the thalamocortical tract (TCT), including the occipital cortex, on follow-up diffusion tensor tractography (DTT) that was concurrent with recovery of impaired consciousness. Case presentation: A 64-year-old male patient underwent craniectomy and hematoma removal for spontaneous intracerebral hemorrhage (ICH) in the left fronto-parieto-temporal lobes and extraventricular catheterization for intraventricular hemorrhage (IVH). When he started rehabilitation eight weeks after onset, he was in a minimally conscious state with a Coma Recovery Scale-Revised (CRS-R) score of 14. On 8-week DTT, decreased connectivity of the TCT between the thalamic intralaminar nuclei and the cerebral cortex was observed in both medial prefrontal cortices (mPFCs), the occipital cortex, and the left parietal cortex. By contrast, on 12-week DTT, TCT connectivity had increased to include both medial prefrontal cortices and the right occipital cortex. Conclusion: Increased neural connectivity of the TCT to the mPFC and the occipital cortex, as shown by DTT, contributed to the recovery of impaired consciousness in a stroke patient. The results suggest that increased neural connectivity to the occipital cortex might contribute to the recovery of impaired consciousness in stroke patients.

2020 ◽  
Vol 38 (1) ◽  
pp. 9-15
Author(s):  
Daeyoung Kim

Prolonged disorders of consciousness comprise a spectrum of impaired consciousness where arousal is preserved with impaired awareness, which last more than 4 weeks. Vegetative state is a prototype of the prolonged disorders of consciousness. A patient in the vegetative state has no signs of awareness. The minimally conscious state is characterized by inconsistent but reproducible signs of awareness and is regarded as a transitional state of recovery of consciousness. Differentiating patients in minimally conscious state from those in vegetative state is still challenging. Utilizing standardized neurobehavioral assessment tools could improve diagnostic accuracy. Recent advances in neuroimaging and electrophysiologic tools may aid the diagnosis and prognostication. Treatment for recovery of consciousness is still limited. More research on the diagnosis and treatment of prolonged disorders of consciousness is needed not only for improved care of patients with prolonged disorders of consciousness but also a greater understanding of human consciousness.


Medwave ◽  
2016 ◽  
Vol 16 (02) ◽  
pp. e6402-e6402 ◽  
Author(s):  
Juan Alberto Nader Kawachi ◽  
María de la Luz Andrade Magdaleno ◽  
Carlos Andrés Peñaherrera ◽  
Yeni Fernández De Lara ◽  
María Isabel Lavenant Borja

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Cesar O. Enciso-Olivera ◽  
Edgar G. Ordóñez-Rubiano ◽  
Rosángela Casanova-Libreros ◽  
Diana Rivera ◽  
Carol J. Zarate-Ardila ◽  
...  

AbstractTo determine the role of early acquisition of blood oxygen level-dependent (BOLD) signals and diffusion tensor imaging (DTI) for analysis of the connectivity of the ascending arousal network (AAN) in predicting neurological outcomes after acute traumatic brain injury (TBI), cardiopulmonary arrest (CPA), or stroke. A prospective analysis of 50 comatose patients was performed during their ICU stay. Image processing was conducted to assess structural and functional connectivity of the AAN. Outcomes were evaluated after 3 and 6 months. Nineteen patients (38%) had stroke, 18 (36%) CPA, and 13 (26%) TBI. Twenty-three patients were comatose (44%), 11 were in a minimally conscious state (20%), and 16 had unresponsive wakefulness syndrome (32%). Univariate analysis demonstrated that measurements of diffusivity, functional connectivity, and numbers of fibers in the gray matter, white matter, whole brain, midbrain reticular formation, and pontis oralis nucleus may serve as predictive biomarkers of outcome depending on the diagnosis. Multivariate analysis demonstrated a correlation of the predicted value and the real outcome for each separate diagnosis and for all the etiologies together. Findings suggest that the above imaging biomarkers may have a predictive role for the outcome of comatose patients after acute TBI, CPA, or stroke.


Sign in / Sign up

Export Citation Format

Share Document