The destruction of the blood-brain barrier and damage to the gastrointestinal mucosa after intracerebral hemorrhage (ICH) are important reasons for its high disability and mortality rates. However, the exact etiology is not yet clear. In addition, there are currently no effective treatments for improving cerebral edema and gastric mucosal damage after ICH. Trefoil factor 1 (TFF1) is a secretory protein that plays a crucial role in maintaining the integrity and barrier function of the gastric mucosa, and it has been reported to have a protective effect on brain damage induced by various causes. This study utilized a rat model of ICH induced by type IV collagenase was utilized, and intervened with recombinant TFF1 protein from an external institute to investigate the protective mechanisms of TFF1 against brain edema and gastric mucosal damage after ICH. The results demonstrated that TFF1 alleviated the neurological function and gastric mucosal damage in the rat model of ICH induced by type IV collagenase. TFF1 may ensure the integrity of the blood-brain and gastric mucosal barriers by regulating the EGFR (epidermal growth factor receptor)/Src (non-receptor tyrosine kinase)/FAK (focal adhesion kinase) pathway. Clearly, the disruption of the blood-brain barrier and the destruction of the gastric mucosal barrier are key pathological features of ICH, and TFF1 can improve the progression of blood-brain barrier and gastric mucosal barrier disruption in ICH by regulating the EGFR/Src/FAK pathway. Therefore, TFF1 may be a potential target for the treatment of ICH.

The peri-hematomal area (PHA) emerges as a key but puzzling interface where edematous and neuroinflammatory events co-occur after intracerebral hemorrhage (ICH), while being considered either as deleterious or protective. We aimed at unraveling the pathogeny and natural history of PHA over time after experimental ICH. Male and female rats were longitudinally followed up to day 7 using multimodal brain MRI. MRI measures were compared to neuropathological and behavioural results. While the peak of PHA volume at day 3 was predictive for spontaneous locomotor deficit without sex-effect, its drop at day 7 fitted with locomotor recovery and hematoma resorption. The PHA highest water density was observed at onset despite microvascular hypoperfusion, taken over by blood-brain barrier (BBB) leakage at day 3. Water density dropped at day 7, when vascular integrity was normalized, and the highest number of reactive astrocytes, microglial cells, and siderophages found. This study shows that the PHA with edematous component is hematoma-driven at onset and BBB-driven at day 3, but this excess neuroinflammation enabled PHA volume reduction and significant hematoma resorption as soon as day 7. Therapeutic interventions should consider this pathogeny, and be monitored by multimodal MRI in preclinical ICH models.

BACKGROUND: Hemorrhagic transformation (HT) and cerebral edema (CED) are both major complications following ischemic stroke, but few studies have evaluated their overlap. We evaluated the frequency and predictors of CED/HT overlap and whether their co-occurrence impacts functional outcome more than each in isolation.
METHODS: 892 stroke patients enrolled in a prospective study had follow-up CT imaging evaluated for HT and CED; the latter was quantified using the ratio of hemispheric CSF volumes (with hemispheric CSF ratio < 0.90 used as the CED threshold). The interaction between HT and CED on functional outcome (using modified Rankin Scale at 3 months) was compared to that for each condition separately.
RESULTS: Among the 275 (31%) who developed HT, 233 (85%) manifested hemispheric CSF ratio < 0.9 (CED/HT), with this overlap group representing half of the 475 with measurable CED. Higher baseline NIHSS scores and larger infarct volumes were observed in the CED/HT group compared with those with CED or HT alone. Functional outcome was worse in those with CED/HT [median mRS 3 (IQR 2-5)] than those with CED [median 2 (IQR 1-4)] or HT alone [median 1 (IQR 0-2), p < 0.0001]. Overlap of CED/HT independently predicted worse outcome [OR 1.89 (95% CI: 1.12-3.18), p = 0.02] while HT did not; however, CED/HT was no longer associated with worse outcome after adjusting for severity of CED [adjusted OR 0.35 (95% CI: 0.23, 0.51) per 0.21 lower hemispheric CSF ratio, p < 0.001].
CONCLUSIONS: Most stroke patients with HT also have measurable CED. The co-occurrence of CED and HT occurs in larger and more severe strokes and is associated with worse functional outcome, although this is driven by greater severity of stroke-related edema in those with HT.

BACKGROUND: Our aim was to determine whether the Apparent Diffusion Coefficient is able to predict the presence of a symptomatic pineal cyst by detecting cerebral edema.
METHODS: We retrospectively analyzed MRIs of 45 patients with pineal cysts before and after resection and 51 patients without pineal cysts, comparing ADC values of thalamus, central, periventricular and subcortical white matter. Furthermore we evaluated cyst size and morphology and analyzed its correlation to ADC values in corresponding patients.
RESULTS: Differences between patients with symptomatic pineal cyst and control group were not significant (p = 0.200 - 0.968). ADC ratios did not change significantly after resection of the cyst (p = 0.575 - 0.862). Cyst size showed no significant correlation to ADC ratios (p = 0.071 - 0.918). Raw data analyses revealed more significance, especially periventricularly and in central white matter, which resulted in significant interhemispheric differences in ADC ratios in both subgroups (p < 0.001 and p = 0.031). MRI of 1.5T showed consistently higher values than 3T but mostly insignificant.
CONCLUSIONS: Our analysis revealed no evidence that pineal cysts lead to intracerebral edema caused by venous compression. Since variability was higher than the differences seen, ADC sequences do not appear to be an appropriate diagnostic tool for symptomatic pineal cysts.

BACKGROUND: Cerebral edema is a common, potentially life-threatening complication in critically ill patients with acute brain injury. However, uncertainty remains regarding best monitoring and treatment strategies, which may result in wide practice variations.
METHODS: A 20-question digital survey on monitoring and management practices was disseminated between July 2022 and May 2023 to clinicians who manage cerebral edema. The survey was promoted through email, social media, medical conferences, and the Neurocritical Care Society Web site. We used the χ2 test, Fisher\'s exact test, analysis of variance, and logistic regression to report factors associated with practice variation, diagnostic monitoring methods, and therapeutic triggers based on practitioner and institutional characteristics.
RESULTS: Of 321 participants from 160 institutions in 30 countries, 65% were from university-affiliated centers, 74% were attending physicians, 38% were woman, 38% had neurology training, and 55% were US-based. Eighty-four percent observed practice variations at their institutions, with \"provider preference\" being cited most (87%). Factors linked to variation included gender, experience, university affiliation, and practicing outside the United States. University affiliates tended to use more tests (median 3.87 vs. 3.43, p = 0.01) to monitor cerebral edema. Regarding management practices, 20% of respondents\' preferred timing for decompressive hemicraniectomy was after 48 h, and 37% stated that radiographic findings only would be sufficient to trigger surgery. Fifty percent of respondents reported initiating osmotic therapy based on radiographic indications or prophylactically. There were no significant associations between management strategies and respondent or center characteristics. Twenty-seven percent of respondents indicated that they acquired neuroimaging at intervals of 24 h or less. Within this group, attending physicians were more likely to follow this practice (65.5% vs. 34.5%, p = 0.04).
CONCLUSIONS: Cerebral edema monitoring and management strategies vary. Features associated with practice variations include both practitioner and institutional characteristics. We provide a foundation for understanding practice patterns that is crucial for informing educational initiatives, standardizing guidelines, and conducting future trials.

Mitochondrial function is tightly linked to morphology, and fragmentation of dendritic mitochondria during noxious conditions suggests loss of function. In the normoxic cortex, spreading depolarization (SD) is a phenomenon underlying migraine aura. It is unknown whether mitochondria structure is affected by normoxic SD. In vivo two-photon imaging followed by quantitative serial section electron microscopy (ssEM) was used to monitor dendritic mitochondria in the normoxic cortex of urethane-anesthetized mature male and female mice during and after SD initiated by focal KCl microinjection. Structural dynamics of dendrites and their mitochondria were visualized by transfecting excitatory, glutamatergic neurons of the somatosensory cortex with bicistronic AAV, which induced tdTomoto labeling in neuronal cytoplasm and mitochondria labeling with roGFP. Normoxic SD triggered rapidly reversible fragmentation of dendritic mitochondria alongside dendritic beading; however, mitochondria took significantly longer to recover. Several rounds of SD resulted in transient mitochondrial fragmentation and dendritic beading without accumulating injury, as both recovered. SsEM corroborated normoxic SD-elicited dendritic and mitochondrial swelling and transformation of the filamentous mitochondrial network into shorter, swollen tubular, and globular structures. Our results revealed normoxic SD-induced disruption of the dendritic mitochondrial structure that might impact mitochondrial bioenergetics during migraine with aura.

OBJECTIVE: The optic nerve sheath diameter (ONSD) is a commonly used estimate of intracranial pressure (ICP). The rationale behind this is that pressure changes in the cerebrospinal fluid affect the optic nerve subarachnoid space (ONSAS) thickness. Still, possible effects on other compartments of the optic nerve sheath (ONS) have not been studied. This is the first study ever to analyze all measurable compartments of the ONS for associations with elevated ICP.
METHODS: We measured changes in ICP and changes in ONS compartments in 75 patients treated with invasive ICP monitoring at the Karolinska University Hospital. Associations between changes in ICP and changes in ONS compartments were estimated with generalized estimating equations. The potential to identify elevated ICP was assessed with the area under the receiver operating characteristic curve (AUROC) for ONS compartments associated with ICP changes.
RESULTS: Both ONSAS and perioptic dura mater thickness were significantly associated with changes in ICP in multivariable modeling. ONSAS was the only compartment that independently predicted changes in ICP, with an AUROC of 0.69 for predicting ICP increase. Still, both the perioptic dura mater thickness and the optic nerve diameter added value in predicting ICP changes in multivariable modeling.
CONCLUSIONS: The results from this study challenge the current understanding of the mechanism behind the association between ICP and ONSD. Contrary to the common opinion that ONSAS is the only affected compartment, this study shows a more complex picture. It suggests that all ONS compartments may add value in predicting changes in ICP.

Cerebral edema (CE) and hemorrhagic transformation (HT) are frequent and unpredictable events in patients with acute ischemic stroke (AIS), even when an effective vessel recanalization has been achieved. These complications, related to blood-brain barrier (BBB) disruption, remain difficult to prevent or treat and may offset the beneficial effect of recanalization, and lead to poor outcomes. The aim of this translational study is to evaluate the association of circulating and imaging biomarkers with subsequent CE and HT in stroke patients with the dual purpose of investigating possible predictors as well as molecular dynamics underpinning those events and functional outcomes. Concurrently, the preclinical study will develop a new mouse model of middle cerebral artery (MCA) occlusion and recanalization to explore BBB alterations and their potentially harmful effects on tissue. The clinical section of the study is based on a single-center observational design enrolling consecutive patients with AIS in the anterior circulation territory, treated with recanalization therapies from October 1, 2015 to May 31, 2020. The study will employ an innovative evaluation of routine CT scans: in fact, we will assess and quantify the presence of CE and HT after stroke in CT scans at 24 h, through the quantification of anatomical distortion (AD), a measure of CE and HT. We will investigate the relationship of AD and several blood biomarkers of inflammation and extracellular matrix, with functional outcomes at 3 months. In parallel, we will employ a newly developed mouse model of stroke and recanalization, to investigate the emergence of BBB changes 24 h after the stroke onset. The close interaction between clinical and preclinical research can enhance our understanding of findings from each branch of research, enabling a deeper interpretation of the underlying mechanisms of reperfusion injury following recanalization treatment for AIS.

BACKGROUND: Life-threatening, space-occupying mass effect due to cerebral edema and/or hemorrhagic transformation is an early complication of patients with middle cerebral artery stroke. Little is known about longitudinal trajectories of laboratory and vital signs leading up to radiographic and clinical deterioration related to this mass effect.
METHODS: We curated a retrospective data set of 635 patients with large middle cerebral artery stroke totaling 95,463 data points for 10 longitudinal covariates and 40 time-independent covariates. We assessed trajectories of the 10 longitudinal variables during the 72 h preceding three outcomes representative of life-threatening mass effect: midline shift ≥ 5 mm, pineal gland shift (PGS) > 4 mm, and decompressive hemicraniectomy (DHC). We used a \"backward-looking\" trajectory approach. Patients were aligned based on outcome occurrence time and the trajectory of each variable was assessed before that outcome by accounting for cases and noncases, adjusting for confounders. We evaluated longitudinal trajectories with Cox proportional time-dependent regression.
RESULTS: Of 635 patients, 49.0% were female, and the mean age was 69 years. Thirty five percent of patients had midline shift ≥ 5 mm, 24.3% of patients had PGS > 4 mm, and 10.7% of patients underwent DHC. Backward-looking trajectories showed mild increases in white blood cell count (10-11 K/UL within 72 h), temperature (up to half a degree within 24 h), and sodium levels (1-3 mEq/L within 24 h) before the three outcomes of interest. We also observed a decrease in heart rate (75-65 beats per minute) 24 h before DHC. We found a significant association between increased white blood cell count with PGS > 4 mm (hazard ratio 1.05, p value 0.007).
CONCLUSIONS: Longitudinal profiling adjusted for confounders demonstrated that white blood cell count, temperature, and sodium levels appear to increase before radiographic and clinical indicators of space-occupying mass effect. These findings will inform the development of multivariable dynamic risk models to aid prediction of life-threatening, space-occupying mass effect.

BACKGROUND: To evaluate the neurological alterations induced by Omicron infection, to compare brain changes in chronic insomnia with those in exacerbated chronic insomnia in Omicron patients, and to examine individuals without insomnia alongside those with new-onset insomnia.
METHODS: In this study, a total of 135 participants were recruited between January 11 and May 4, 2023, including 26 patients with chronic insomnia without exacerbation, 24 patients with chronic insomnia with exacerbation, 40 patients with no sleep disorder, and 30 patients with new-onset insomnia after infection with Omicron (a total of 120 participants with different sleep statuses after infection), as well as 15 healthy controls who were never infected with Omicron. Neuropsychiatric data, clinical symptoms, and multimodal magnetic resonance imaging data were collected. The gray matter thickness and T1, T2, proton density, and perivascular space values were analyzed. Associations between changes in multimodal magnetic resonance imaging findings and neuropsychiatric data were evaluated with correlation analyses.
RESULTS: Compared with healthy controls, gray matter thickness changes were similar in the patients who have and do not have a history of chronic insomnia groups after infection, including an increase in cortical thickness near the parietal lobe and a reduction in cortical thickness in the frontal, occipital, and medial brain regions. Analyses showed a reduced gray matter thickness in patients with chronic insomnia compared with those with an aggravation of chronic insomnia post-Omicron infection, and a reduction was found in the right medial orbitofrontal region (mean [SD], 2.38 [0.17] vs. 2.67 [0.29] mm; P < 0.001). In the subgroups of Omicron patients experiencing sleep deterioration, patients with a history of chronic insomnia whose insomnia symptoms worsened after infection displayed heightened medial orbitofrontal cortical thickness and increased proton density values in various brain regions. Conversely, patients with good sleep quality who experienced a new onset of insomnia after infection exhibited reduced cortical thickness in pericalcarine regions and decreased proton density values. In new-onset insomnia patients post-Omicron infection, the thickness in the right pericalcarine was negatively correlated with the Self-rating Anxiety Scale (r =  - 0.538, P = 0.002, PFDR = 0.004) and Self-rating Depression Scale (r =  - 0.406, P = 0.026, PFDR = 0.026) scores.
CONCLUSIONS: These findings help us understand the pathophysiological mechanisms involved when Omicron invades the nervous system and induces various forms of insomnia after infection. In the future, we will continue to pay attention to the dynamic changes in the brain related to insomnia caused by Omicron infection.