Neurophysiologie Clinique/Clinical Neurophysiology最新文献

Objective: To explore the application of the neuronal recovery model (i.e., the ABCD model derived from EEG power spectral analysis) in forecasting outcomes for patients with acute disorders of consciousness (DOC).

Methods: Patients with acute DOC were enrolled, and clinical assessments, including the Glasgow Coma Scale (GCS), Full Outline of UnResponsiveness (FOUR), and Coma Recovery Scale-Revised (CRS-R) scores, along with electroencephalography (EEG), were documented on the first day post-enrollment. The ABCD model, derived from EEG power spectral data reflecting frequency bands, categorized brain activity into four distinct groups (A, B, C, D). Outcome prognoses were evaluated using the Glasgow Outcome Scale-Extended (GOSE) six months after enrollment. Statistical analyses were performed to assess the correlation between the ABCD model and clinical assessments, and to investigate the predictive value of EEG and clinical assessments for the long-term prognosis.

Results: A total of 93 patients with acute DOC were included; the median age was 64 years (interquartile range 52, 72), of which 52 patients had favorable outcomes. Significant correlations were observed between the ABCD model and both the FOUR and CRS-R scores. The CRS-R and ABCD model demonstrated relatively good predictive value for six-month prognoses, with Area Under the Curve (AUC) values of 0.695 and 0.678, respectively (P < 0.05). Furthermore, the combination of the CRS-R score and ABCD model exhibited the highest predictive value with an AUC of 0.746.

Conclusions: The ABCD model effectively predicted the prognosis of patients with acute DOC in combination with CRS-R.

Objectives: Computer-assisted planning (CAP) allows faster SEEG planning and improves grey matter sampling, orthogonal drilling angles to the skull, reduces risk scores and minimises intracerebral electrode length. Incorporating prior SEEG trajectories enhances CAP planning, refining output with centre-specific practices. This study significantly expands on the previous work, compares priors libraries between two centres, and describes differences between SEEG in adults and children in these centres.

Methods: 98 adults and 61 children who underwent SEEG implantation as part of epilepsy surgery investigations were included. Priors libraries were created for each population, clustered by target regions and subdivided by cortical approaches. The libraries were coregistered and quantitatively and qualitatively compared.

Results: The average number of implanted electrodes per patient was higher in paediatric patients than adults (13.6 vs 8.0). Paediatric implantations focused more on the insula than adult implantations (38.0 % vs 13.5 %), with similar proportions of electrodes implanted in the temporal and parietal lobes, and a higher proportion of adult electrodes in the frontal and orbitofrontal regions (40.6 % vs 24.0 %). Correspondence between the priors libraries was high. We present an example of a complex insular implantation planned with paediatric spatial priors and illustrate resultant SEEG recordings.

Discussion: The use of centre-specific spatial priors allows the incorporation of surgeon-specific and unit-specific preferences into automated planning. We compare implantation styles between a paediatric and an adult centre, discussing similarities and differences. This tool allows centres to compare practice and represents an effective way to analyse implantation strategies that is agnostic to method of implantation.

Aim: To evaluate the diagnostic accuracy of reduced montage electroencephalography (EEG) for seizure detection and provide evidence-based recommendations.

Methods: Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, we conducted a diagnostic meta-analysis to assess the sensitivity and specificity of reduced EEG montages in detecting seizure activity. A hierarchical summary receiver operating characteristic curve (HSROC) model was used to estimate the area under the curve (AUC). Subgroup analyses were conducted to identify sources of heterogeneity. Bayesian estimates were used for validation.

Results: Across 8 studies encompassing 3,458 reduced EEG montage samples, all studies used a reduced EEG montage with 7 to 10 electrodes. The pooled sensitivity was 0.75 (95 % CI: 0.68-0.80), and the pooled specificity was 0.97 (95 % CI: 0.95-0.98). The HSROC model had an AUC of 0.96 (95 % CI: 0.93-0.97). Variations in study results were attributed to factors such as the number of electrodes (pooled sensitivity of 0.66 for studies employing <8 leads and 0.77 for studies employing ≥8 leads) and montage design coverage (pooled sensitivity of 0.64 for studies employing subhairline montage and 0.77 for studies employing above-hairline montage). The Bayesian and frequentist findings agreed with each other and had a pooled sensitivity of 0.74 (95 % HPD: 0.65-0.83) and pooled specificity of 0.97 (95 % highest posterior density 0.95-0.98).

Conclusion: Reduced EEG montages with 8 or more electrodes are feasible for seizure detection, especially in emergency settings where rapid detection is crucial.

Objectives: In the present study with a large cohort, we aimed to characterize intracerebral seizure onset patterns (SOP) of mesial temporal lobe epilepsy (mTLE), with or without hippocampal sclerosis (HS) as identified via magnetic resonance imaging (MRI).

Methods: We retrospectively analyzed 255 seizures of 76 consecutive patients with mTLE explored by stereoelectroencephalography (SEEG), including HS-mTLE (n = 52) and non-HS- mTLE (n = 24). Relevant results were obtained by a combination of spectral analysis and manual review. High-frequency oscillations (HFO) were quantified across different SOP by an automatic detection method.

Results: We identified six SOP according to previous work by Lagarde et al.: (1) Low-voltage fast activity (LVFA); (2) Rhythmic spikes followed by LVFA; (3) Burst of spikes followed by LVFA; (4) Periodic spikes or spike-wave followed by LVFA; (5) Rhythmic spike or spike-wave; (6) Theta or alpha sharp activity. Notably, Periodic spikes or spike-wave followed by LVFA had a high prevalence in all seizures (37 %). A significant association was established between Periodic spike followed by LVFA and HS-mTLE (P < 0.05). Furthermore, the counts of ripples and fast ripples were significantly higher in SOP displaying LVFA compared to those that did not (P < 0.05). Rhythmic spikes followed by LVFA had the best prognosis (92 % seizure-free), while Burst of spikes followed by LVFA were linked to poorest prognosis (67 % SF).

Conclusion: HS-mTLE and non-HS-mTLE exhibit distinct SOP characteristics, which can offer valuable prognostic insights with a more informative interpretation of ictal iEEG for clinical guidance.

Objective: The aims of this study were to investigate the electrophysiological features of hemifacial spasm (HFS) and post-facial paralysis synkinesis (PFPS) that contribute to differential diagnosis.

Methods: This study was designed as a retrospective analysis, focusing on 132 patients diagnosed with HFS and 78 patients with PFPS between May and October 2023. Patient data were collected from existing medical records. The study aimed to analyze pre-existing electrophysiological data, including abnormal muscle response (AMR) and facial synkinesis, focusing on parameters such as AMR latency, amplitude, and duration.

Results: In the HFS group, AMR could be induced in all patients, with synkinesis present in 31.8 %. In the PFPS group, AMR and synkinesis were induced in 79.5 % and 100 % of patients, respectively. Compared with the PFPS group, the HFS group had a shorter AMR latency and higher amplitude (P < 0.05). The duration of the AMR did not significantly differ between the two groups (P > 0.05). Synkinesis in the HFS group was typically accompanied or followed by an involuntary spasm episode, but not every eye closure or pouting led to synkinesis. In contrast, synkinesis in the PFPS group occurred with every voluntary movement and was synchronized with these movements.

Conclusions: Patients with HFS and PFPS may exhibit similar clinical symptoms. Neurophysiological tests, particularly electromyography, provide valuable information for the differential diagnosis of HFS and PFPS.

Objectives: The stress reaction is an integrated response to a change in the environment that enables each individual to adapt to demand. While this response is physiologically coordinated by the brain, its phenomenology is expressed in the field of psychology and psychopathology. This interrelation between neurophysiological mechanisms and psychological processes is complex as dynamic interpersonal, biological, and psychocognitive systems interact with contextual and environmental factors to shape adaptation over the life constraints.

Method: This article aims to present the actors of the adjusted stress response, such as coping and coping flexibility, mindfulness and resilience, and their respective neurophysiology.

Results: A model of the relationship between resilience, mindfulness and coping was proposed for optimizing adaptation to stress response.

Discussion: These focuses are prerequisites for understanding and supporting human adaptation in the everyday environment and promoting efficient management of stress for mental and physical health.

Aim: This study aimed to investigate the relationship between electrophysiological findings of diabetic neuropathy (DN) and patients' quality of life, neuropathic pain levels, and well-being.

Materials and methods: A cross-sectional study was conducted in 12 centers in Turkey. DN patients were categorized into four stages based on electrophysiological findings using the Baba classification. Scales such as Short Form-36 (SF-36), Douleur Neuropathique 4-Questions (DN4), Brief Pain Inventory (BPI), and WHO-5 Well-Being (WHO-5 WB) were used to assess quality of life, pain, and well-being. Additional factors like HbA1c levels and diabetes duration were analyzed.

Results: Among 323 DN patients, 90 were in stage 1, 84 in stage 2, 72 in stage 3, and 77 in stage 4. There were no significant differences in age or gender between the stages. Diabetes duration and HbA1c levels were significantly lower in stage 1 compared to later stages. SF-36 and WHO-5 WB scores declined, while DN4 and BPI pain interference scores increased in the later stages. These findings persisted after adjusting for confounders such as age, BMI, comorbidities, and diabetes duration.

Conclusion: Patients with advanced-stage DN experienced a poorer quality of life, greater pain, and more frequent comorbidities compared to early-stage patients. Electrophysiological findings should be considered in the clinical management of DN.