Spontaneous Recovery from Unresponsive Wakefulness Syndrome to a Minimally Conscious State: Early Structural Changes Revealed by 7-T Magnetic Resonance Imaging

Efficacy of melatonin for prolonged disorders of consciousness: a double-blind, randomized clinical trial

BACKGROUND

Sleep is essential for the recovery of patients with disorders of consciousness (DoC). However, few approaches targeting sleep were applied. Melatonin has been shown to enhance sleep efficiency with virtually no side effects. This study explored melatonin's benefits for patients with prolonged DoC, as well as the underlying mechanisms involved.

METHODS

A cohort of 46 patients with prolonged DoC were randomly assigned to either the melatonin treatment group or the placebo group. Assessments were conducted using the Coma Recovery Scale-Revised (CRS-R), electroencephalography (EEG), and polysomnography (PSG) before and after the intervention, with follow-up CRS-R evaluations performed 6 months post-treatment.

RESULTS

Compared to the placebo, melatonin demonstrated a significant improvement in CRS-R scores after a 2-week period in patients with unresponsive wakefulness syndrome (UWS) (Fgroup*time = 6.86, P = 0.032; Fgroup = 4.03, P = 0.045) and this improvement was particularly pronounced in visual scores (Fgroup*time = 7.03, P = 0.030; Fgroup = 4.90, P = 0.027). Moreover, patients with UWS who received melatonin exhibited a higher relative spectral density of the alpha band in the frontal lobe compared to those who received placebo (Ftime-mel = 4.55, P = 0.033) and benefited for their prognosis after 6 months (Pseudo R2 = 0.370, F = 12.03, P = 0.034).

CONCLUSIONS

Overall, melatonin intervention seems to have a better response in UWS patients with preserved sleep cycles. These positive effects may not be solely attributed to improvements in the patients' sleep quality.

TRAIL REGISTRATION

ClinicalTrials.gov: NCT05285124.

Multimodal approaches supporting the diagnosis, prognosis and investigation of neural correlates of disorders of consciousness: A systematic review

The limits of the standard, behaviour-based clinical assessment of patients with disorders of consciousness (DoC) prompted the employment of functional neuroimaging, neurometabolic, neurophysiological and neurostimulation techniques, to detect brain-based covert markers of awareness. However, uni-modal approaches, consisting in employing just one of those techniques, are usually not sufficient to provide an exhaustive exploration of the neural underpinnings of residual awareness. This systematic review aimed at collecting the evidence from studies employing a multimodal approach, that is, combining more instruments to complement DoC diagnosis, prognosis and better investigating their neural correlates. Following the PRISMA guidelines, records from PubMed, EMBASE and Scopus were screened to select peer-review original articles in which a multi-modal approach was used for the assessment of adult patients with a diagnosis of DoC. Ninety-two observational studies and 32 case reports or case series met the inclusion criteria. Results highlighted a diagnostic and prognostic advantage of multi-modal approaches that involve electroencephalography-based (EEG-based) measurements together with neuroimaging or neurometabolic data or with neurostimulation. Multimodal assessment deepened the knowledge on the neural networks underlying consciousness, by showing correlations between the integrity of the default mode network and the different clinical diagnosis of DoC. However, except for studies using transcranial magnetic stimulation combined with electroencephalography, the integration of more than one technique in most of the cases occurs without an a priori-designed multi-modal diagnostic approach. Our review supports the feasibility and underlines the advantages of a multimodal approach for the diagnosis, prognosis and for the investigation of neural correlates of DoCs.

Neuroimaging in Disorders of Consciousness and Recovery

There is a clinical need for more accurate diagnosis and prognostication in patients with disorders of consciousness (DoC). There are several neuroimaging modalities that enable detailed, quantitative assessment of structural and functional brain injury, with demonstrated diagnostic and prognostic value. Additionally, longitudinal neuroimaging studies have hinted at quantifiable structural and functional neuroimaging biomarkers of recovery, with potential implications for the management of DoC.

Relationship between consciousness and the thalamocortical tract in patients with intracerebral hemorrhage

In patients with intracerebral hemorrhage (ICH), the relationship between consciousness and the thalamocortical tract (TCT), which links the thalamic intralaminar nuclei (ILN) and the cerebral cortex, was investigated. Forty-one patients with ICH were assigned to 1 of 2 groups according to their preservation of consciousness as determined by their Glasgow coma scale (GCS) score. Patient group A had impaired consciousness (GCS < 15, 21 patients), and patient group B had intact consciousness (GCS = 15, 20 patients). The control group included 20 age- and sex-matched healthy subjects. For all groups, the TCTs from the thalamic ILN of both sides were reconstructed using a probabilistic tractography method based on a multifiber model. In addition, tract volume (TV) values were determined. The TV values for the ipsilateral TCT from the thalamic ILN of the all-patient groups and those for contralateral TCT of the patient group B showed no significant differences between ICH and contra-ICH sides (P > .05). The TV results for the ipsilateral and contralateral TCTs from the thalamic ILN of the ICH and contra-ICH sides were significantly different among the 3 groups (P < .05). Among the patients, there were moderate positive correlations between GCS scores and TV values of the ipsilateral TCT on the ICH and contra-ICH sides (R = 0.477, P < .05; R = 0.426, P < .05). The TV of the ipsilateral TCT from the thalamic ILN on the ICH and contra-ICH sides was significantly correlated with the consciousness level in patients with ICH. Our results could be helpful when developing therapeutic strategies for ICH patients with disorders of consciousness.

Mapping topography and network of brain injury in patients with disorders of consciousness

Background

There is a growing interest in the topography of brain regions associated with disorders of consciousness. This has caused increased research output, yielding many publications investigating the topic with varying methodologies. The objective of this study was to ascertain the topographical regions of the brain most frequently associated with disorders of consciousness.

Methods

We performed a cross-sectional text-mining analysis of disorders of consciousness studies. A text mining algorithm built in the Python programming language searched documents for anatomical brain terminology. We reviewed primary PubMed studies between January 1st 2000 to 8th February 2023 for the search query “Disorders of Consciousness.” The frequency of brain regions mentioned in these articles was recorded, ranked, then built into a graphical network. Subgroup analysis was performed by evaluating the impact on our results if analyses were based on abstracts, full-texts, or topic-modeled groups (non-negative matrix factorization was used to create subgroups of each collection based on their key topics). Brain terms were ranked by their frequency and concordance was measured between subgroups. Graphical analysis was performed to explore relationships between the anatomical regions mentioned. The PageRank algorithm (used by Google to list search results in order of relevance) was used to determine global importance of the regions.

Results

The PubMed search yielded 24,944 abstracts and 3,780 full texts. The topic-modeled subgroups contained 2015 abstracts and 283 full texts. Text Mining across all document groups concordantly ranked the thalamus the highest (Savage score = 11.716), followed by the precuneus (Savage score = 4.983), hippocampus (Savage score = 4.483). Graphical analysis had 5 clusters with the thalamus once again having the highest PageRank score (PageRank = 0.0344).

Conclusion

The thalamus, precuneus and cingulate cortex are strongly associated with disorders of consciousness, likely due to the roles they play in maintaining awareness and involvement in the default mode network, respectively. The findings also suggest that other areas of the brain like the cerebellum, cuneus, amygdala and hippocampus also share connections to consciousness should be further investigated.

Clinical Decision on Disorders of Consciousness After Acquired Brain Injury: Stepping Forward

Major advances have been made over the past few decades in identifying and managing disorders of consciousness (DOC) in patients with acquired brain injury (ABI), bringing the transformation from a conceptualized definition to a complex clinical scenario worthy of scientific exploration. Given the continuously-evolving framework of precision medicine that integrates valuable behavioral assessment tools, sophisticated neuroimaging, and electrophysiological techniques, a considerably higher diagnostic accuracy rate of DOC may now be reached. During the treatment of patients with DOC, a variety of intervention methods are available, including amantadine and transcranial direct current stimulation, which have both provided class II evidence, zolpidem, which is also of high quality, and non-invasive stimulation, which appears to be more encouraging than pharmacological therapy. However, heterogeneity is profoundly ingrained in study designs, and only rare schemes have been recommended by authoritative institutions. There is still a lack of an effective clinical protocol for managing patients with DOC following ABI. To advance future clinical studies on DOC, we present a comprehensive review of the progress in clinical identification and management as well as some challenges in the pathophysiology of DOC. We propose a preliminary clinical decision protocol, which could serve as an ideal reference tool for many medical institutions.

Investigating Structure-Function Connectivity in a Patient With Locked-In Syndrome by 7 T Magnetic Resonance Imaging: A Case Report

INTRODUCTION

Functional neuroimaging studies have been conducted to investigate cognitive and behavioral dysfunctions in locked-in syndrome (LIS). This study, we used a multimodal neuroimaging approach to investigate functional and structural connectivity in a LIS patient.

CASE REPORT

A 39-year-old patient who was in a total locked-in state was admitted in our department. The Coma Recovery Scale-Revised score, event-related potential, and ultra-high-field 7 T magnetic resonance imaging (MRI) were used to investigate this patient. White matter connectometry and seed-based resting-state functional connectivity analysis were used to compare the patient with an age-matched, sex-matched healthy control. Diffusion MRI findings indicated that fibers in the brainstem significantly decreased, especially in the cross region of pons, whereas the fibers above the brainstem in the deep brain increased particularly in the posterior cingulate cortex (PCC), the left parietal lobe, and parts of the corpus callosum. Meanwhile, using the PCC as the seed region, the functional connectivity between PCC and left parietal and occipital lobes, right occipital and temporal lobes increased, respectively, especially in the area of left inferior parietal gyrus and the postcentral gyrus, which were in accordance with the most increased fiber density areas observed in diffusion MRI.

CONCLUSIONS

These results provide tentative evidences to reveal the important role of PCC and corpus callosum in the LIS patient. These findings may be informative to the study of patients with LIS.

Chinese Classical Dancers Have Improved Spontaneous Activity in Visual Brain Areas

Abstract. Resting-state functional magnetic resonance imaging (fMRI) studies demonstrate that long-term exercise or dance training may cause changes in brain structure and function. However, the changes of neurofunction in the long-term practitioners of Chinese classical dance are still unclear. The purpose of the study is to explore the neurofunctional alterations associated with long-term Chinese classical dance training. Thirty female college students were selected, 15 students majoring in Chinese classical dance (average training years = 9.73 ± 1.75 years) and 15 education-matched non-dancer students with no previous experience of regular dance training. In this cross-sectional design, the resting-state fMRI data were acquired only once to observe the structural and functional changes of the brain. Compared with non-dancers, professional dancers had no significant difference in the total volume of whole brain, gray matter, white matter, and cerebrospinal fluid. While in professional dancers, we found increased amplitude of low-frequency fluctuation (ALFF) in the left superior occipital gyrus, right Cuneus, and left calcarine fissure and surrounding cortex (Calcarine); increased fractional ALFF and regional homogeneity in the right Calcarine, indicating the increase of spontaneous brain activity in these brain areas. Since these brain areas are related to visual cognitive function, the results suggest that long-term Chinese classical dance training is associated with increased spontaneous regional brain activity in the visual areas. This may be closely related to the specific characteristics of Chinese classical dance and long-term professional training.

Structural connectome alterations in patients with disorders of consciousness revealed by 7-tesla magnetic resonance imaging

Although the functional connectivity of patients with disorders of consciousness (DOC) has been widely examined, less is known about brain white matter connectivity. The aim of this study was to explore structural network alterations for the diagnosis and prognosis of patients with chronic DOC. Eleven DOC patients and 11 sex- and age-matched controls were included in the study. Participants underwent diffusion magnetic resonance imaging (MRI) and T1-weighted structural MRI at 7 tesla (7 T). Graph-theoretical analysis and network-based statistics were used to analyze the group differences. Two patients were scanned twice for a longitudinal study to examine the relationship between connectome metrics and the patients' prognoses. Compared with healthy controls, DOC patients showed significantly elevated transitivity (p < .001), local efficiency (p = .009), and clustering coefficient (p = .039). When comparing the connectome metrics within the three groups (healthy controls, minimally conscious state (MCS), and vegetative state/unresponsive wakefulness syndrome (VS/UWS)), significant group differences were observed in transitivity (p < .001) and local efficiency (p = .031). Significantly increased transitivity was observed in vegetative state/unresponsive wakefulness syndrome compared with minimally conscious state (p = .0217, Bonferroni corrected). Transitivity showed significant negative correlations with the Coma Recovery Scale-Revised score (r = -0.6902, p = .023), consistent with the longitudinal study results. A subnetwork with significantly decreased structural connections was identified using network-based statistical analysis comparing DOC patients with healthy controls, which was mainly located in the frontal cortex, limbic system, and occipital and parietal lobes. This preliminary study suggests that graph theoretical approaches for assessing white matter connectivity may enable various states of DOC to be distinguished. Of the metrics analyzed, transitivity had a critical role in distinguishing the diagnostic groups. Larger cohorts will be necessary to confirm the predictive value of 7 T MRI in the prognosis of DOC patients.

Neuroimaging characterization of recovery of impaired consciousness in patients with disorders of consciousness

Elucidation of critical brain areas or structures that are responsible for recovery of impaired consciousness in patients with disorders of consciousness is important because it can provide information that is useful when developing therapeutic strategies for neurorehabilitation or neurointervention in patients with disorders of consciousness. In this review, studies that have demonstrated brain changes during recovery of impaired consciousness were reviewed. These studies used positron emission tomography, electroencephalography/transcranial magnetic stimulation, diffusion tensor tractography, and diffusion tensor tractography/electroencephalography. The majority of these studies reported on the importance of supratentorial areas or structures in the recovery of impaired consciousness. The important brain areas or structures that were identified were the prefrontal cortex, basal forebrain, anterior cingulate cortex, and parietal cortex. These results have a clinically important implication that these brain areas or structures can be target areas for neurorehabilitation or neurointervention in patients with disorders of consciousness. However, most of studies were case reports; therefore, further original studies involving larger numbers of patients with disorders of consciousness are warranted. In addition, more detailed information on the brain areas or structures that are relevant to the recovery of impaired consciousness is needed.