BACKGROUND: Acute symptomatic seizures (ASyS) increase the risk of epilepsy and mortality after a stroke. The impact of the timing and type of ASyS remains unclear. METHODS: This multicenter cohort study included data from 9 centers between 2002 and 2018, with a final analysis in February 2024. The study included 4552 adults (2005 female; median age, 73 years) with ischemic stroke and no seizure history. Seizures were classified using International League Against Epilepsy definitions. We examined ASyS occurring within 7 days after stroke. The main outcomes were all-cause mortality and epilepsy. Validation of the updated SeLECT score (SeLECT-ASyS) was performed in 3 independent cohorts (Switzerland, Argentina, and Japan) collected between 2012 and 2024, including 74 adults with ASyS. RESULTS: The 10-year risk of poststroke epilepsy ranged from 41% to 94%, and mortality from 36% to 100%, depending on ASyS type and timing. ASyS on stroke onset day had a higher epilepsy risk (adjusted hazard ratio [aHR], 2.3 [95% CI, 1.3–4.0]; P =0.003) compared with later ASyS. Status epilepticus had the highest epilepsy risk (aHR, 9.6 [95% CI, 3.5–26.7]; P <0.001), followed by focal to bilateral tonic-clonic seizures (aHR, 3.4 [95% CI, 1.9–6.3]; P <0.001). Mortality was higher in those with ASyS presenting as focal to bilateral tonic-clonic seizures on day 0 (aHR, 2.8 [95% CI, 1.4–5.6]; P =0.004) and status epilepticus (aHR, 14.2 [95% CI, 3.5–58.8]; P <0.001). The updated SeLECT-ASyS model, available as an application, outperformed a previous model in the derivation cohort (concordance statistics, 0.68 versus 0.58; P =0.02) and in the validation cohort (0.70 versus 0.50; P =0.18). CONCLUSIONS: ASyS timing and type significantly affect epilepsy and mortality risk after stroke, improving epilepsy prediction and guiding patient counseling.

Recognition of typical patterns of brain response to external stimuli using near-infrared spectroscopy (fNIRS) may become a gateway to detecting covert consciousness in clinically unresponsive patients. This is the first fNIRS study on the cortical hemodynamic response to favorite music using a frequency domain approach. The aim of this study was to identify a possible marker of cognitive response in healthy subjects by investigating variations in the oscillatory signal of fNIRS in the spectral regions of low-frequency (LFO) and very-low-frequency oscillations (VLFO). The experiment consisted of two periods of exposure to preferred music, preceded and followed by a resting phase. Spectral power in the LFO region increased in all the subjects after the first exposure to music and decreased again in the subsequent resting phase. After the second music exposure, the increase in LFO spectral power was less distinct. Changes in LFO spectral power were more after first music exposure and the repetition-related habituation effect strongly suggest a cerebral origin of the fNIRS signal. Recognition of typical patterns of brain response to specific environmental stimulation is a required step for the concrete validation of a fNIRS-based diagnostic tool.

This pilot study assesses the feasibility to detect covert consciousness in clinically unresponsive patients by means of functional near infrared spectroscopy (fNIRS) in a real intensive care unit setting. We aimed to verify if the hemodynamic response to familiar music measured with fNIRS varies according to the level consciousness of the patients. 22 neurocritical patients and 6 healthy controls were included. The experiment consisted in 3 subsequent blocks including a first resting state recording, a period of music playback and a second resting state recording. fNIRS measurement were performed on each subject with two optodes on the forehead. Main oscillatory frequencies of oxyhemoglobin signal were analyzed. Spectral changes of low frequency oscillations (LFO) between subsequent experimental blocks were used as a marker of cortical response. Cortical response was compared to the level of consciousness of the patients and their functional outcome, through validated clinical scores. Cortical hemodynamic response to music on the left prefrontal brain was associated with the level of consciousness of the patients and with their clinical outcome after three months. Variations in LFO spectral power measured with fNIRS may be a new marker of cortical responsiveness to detect covert consciousness in neurocritical patients. Left prefrontal cortex may play an important role in the perception of familiar music. We showed the feasibility of a simple fNIRS approach to detect cortical response in the real setting of an intensive care unit.

Arterial spin labelling (ASL), an MRI sequence non-invasively imaging brain perfusion, has yielded promising results in the presurgical workup of children with focal cortical dysplasia (FCD)-related epilepsy. However, the interpretation of ASL-derived perfusion patterns remains unclear. Hence, we compared ASL qualitative and quantitative findings to their clinical, EEG, and MRI counterparts. We included children with focal structural epilepsy related to an MRI-detectable FCD who underwent single delay pseudo-continuous ASL. ASL perfusion changes were assessed qualitatively by visual inspection and quantitatively by estimating the asymmetry index (AI). We considered 18 scans from 15 children. 16 of 18 (89%) scans showed FCD-related perfusion changes: 10 were hypoperfused, whereas six were hyperperfused. Nine scans had perfusion changes larger than and seven equal to the FCD extent on anatomical images. Hyperperfusion was associated with frequent interictal spikes on EEG (p = 0.047). Perfusion changes in ASL larger than the FCD corresponded to larger lesions (p = 0.017). Higher AI values were determined by frequent interictal spikes on EEG (p = 0.004). ASL showed FCD-related perfusion changes in most cases. Further, higher spike frequency on EEG may increase ASL changes in affected children. These observations may facilitate the interpretation of ASL findings, improving treatment management, counselling, and prognostication in children with FCD-related epilepsy.

Purpose of review: One in eight patients unfortunately suffers a new stroke within 5 years of their first stroke, even today. Research in precision medicine could lead to a more individualized treatment allocation, possibly achieving lower recurrence rates of ischemic stroke. In this narrative review, we aim to discuss potential clinical implementation of several promising candidate blood biomarkers. Recent findings: We discuss specifically some promising blood-based biomarkers, which may improve the identification of underlying causes as well as risk stratification of patients according to their specific cerebrovascular risk factor pattern. Summary: Multimodal profiling of ischemic stroke patients by means of blood biomarkers, in addition to established clinical and neuroradiological data, may allow in the future a refinement of decision algorithms for treatment allocation in secondary ischemic stroke prevention.

BACKGROUND: Atrial fibrillation detected after stroke (AFDAS) affects secondary stroke prevention, yet identification can be challenging. Easily accessible cardiac blood biomarkers such as NT-proBNP (N-terminal pro-B-type natriuretic peptide) could guide diagnostic workup, but optimal cutoff values and the time-dependent relationship between NT-proBNP and AFDAS are unclear. We aimed (1) to externally validate earlier presented NT-proBNP cutoffs for atrial fibrillation prediction and (2) to assess the time-dependent relationship of NT-proBNP and early in-hospital AFDAS versus AFDAS after discharge. METHODS: We conducted a pooled data analysis of patients with ischemic stroke from the prospective international multicenter BIOSIGNAL (Biomarker Signature of Stroke Aetiology) cohort study (European Stroke Centers from October 2014 to October 2017) and the prospective single-center Graz stroke pathway study (Austria from May 2018 to August 2020). AFDAS was defined as ≥30-s atrial fibrillation/flutter diagnosed within 1 year post-admission and categorized in in-hospital versus after discharge. NT-proBNP was assessed ≤24 hours of symptom onset. The association between NT-proBNP and AFDAS was evaluated by a multivariable logistic regression analysis. RESULTS: AFDAS was diagnosed in 374 (16%) of 2292 patients with ischemic stroke (median age, 74 years; 42% female), 268 (72%) during hospitalization, and 106 (28%) after discharge (median duration of hospitalization, 15 days). NT-proBNP levels at admission had a good predictive capacity for in-hospital AFDAS (area under the receiver operating characteristic curve, 0.83 [95% CI, 0.81–0.86]). For patients diagnosed with AFDAS after discharge, the predictive capacity of NT-proBNP was poor (area under the receiver operating characteristic curve, 0.65 [95% CI, 0.60–0.70]), and 20% had normal NT-proBNP values <125 pg/mL at admission. The NT-proBNP cutoff of 505 pg/mL exhibited high sensitivity (82%) and specificity (71%) for in-hospital AFDAS, with a negative predictive value of 96%. CONCLUSIONS: In patients with ischemic stroke, the admission NT-proBNP cutoff of 505 pg/mL seems to be a reliable predictor for in-hospital AFDAS, while the predictive capacity of NT-proBNP for AFDAS after discharge is limited. Our results might influence the designs of future secondary stroke prevention trials.