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PubMed2005

A least-squares parameter estimation algorithm for switched hammerstein systems with applications to the VOR.

A "Multimode" or "switched" system is one that switches between various modes of operation. When a switch occurs from one mode to another, a discontinuity may result followed by a smooth evolution under the new regime. Characterizing the switching behavior of these systems is not well understood and, therefore, identification of multimode systems typically requires a preprocessing step to classify the observed data according to a mode of operation. A further consequence of the switched nature of these systems is that data available for parameter estimation of any subsystem may be inadequate. As such, identification and parameter estimation of multimode systems remains an unresolved problem. In this paper, we 1) show that the NARMAX model structure can be used to describe the impulsive-smooth behavior of switched systems, 2) propose a modified extended least squares (MELS) algorithm to estimate the coefficients of such models, and 3) demonstrate its applicability to simulated and real data from the Vestibulo-Ocular Reflex (VOR). The approach will also allow the identification of other nonlinear bio-systems, suspected of containing "hard" nonlinearities.

Algorithms↗
PubMed1999

Polyhazard models for lifetime data.

We propose a polyhazard model to deal with lifetime data associated with latent competing risks. The causes of failure are assumed unobserved and affecting individuals independently. The general framework allows a broad class of hazard models that includes the most common hazard-based models. The model accommodates bathtub and multimodal hazards, keeping enough flexibility for common lifetime data that cannot be accommodated by usual hazard-based models. Maximum likelihood estimation is discussed, and parametric simulation is used for hypothesis testing.

Animals↗
PubMed1993

Multimodal imaging integration and stereotactic intracerebral electrode insertion in the investigation of drug resistant epilepsy.

Insertion of intracerebral electrodes for EEG recording is sometimes necessary during the pre-operative evaluation of patients with drug resistant epilepsy to define the site of seizure onsets. The precise and accurate placement of the electrodes requires a stereotactic technique of insertion based on correlated information derived from computerised imaging and stereotactic angiography. Described methods of multimodal stereotactic image integration present limitations in terms of satisfactory relocation and ability to spread data acquisition over a period of time. An alternative method of stereotactic acquisition of multimodal image information using the Gill-Thomas stereotactic repeat localiser is presented. Digital Angiographic (DSA), Computerised (CT) and Magnetic Resonance Imaging (MRI) data were correlated and used for target selection. The positional accuracy of the electrodes was confirmed repeatedly during the recording period with standard radiographic and MRI means and found to be satisfactory. There were no permanent complications in any of the patients included in the study. Stereoangiography correlative to computerised neuro-imaging offered a high degree of safety during the operation. Non-invasive relocation was an important feature of the combined system which was particularly helpful and duly appreciated by the patients. The temporal freedom provided during the investigative and operative period offers the advantage of an unhurried multi-image integration and targeting combined with less discomfort for the patient. The positional accuracy of the electrodes was easily verified during the post-operative period and this information added to the electroence-phalographic localising value of the technique.

Brain↗
PubMed1996

Source propagation of interictal spikes in temporal lobe epilepsy. Correlations between spike dipole modelling and [18F]fluorodeoxyglucose PET data.

Source localization methods were applied to interictal spikes from scalp EEGs and correlated with metabolic (PET scan) data in eight patients suffering from drug-resistant temporal lobe epilepsy (TLE). Dipolar sources, [18F]fluorodeoxyglucose (18FDG)-PET data and anatomical images (MRI) were projected into the same three-dimensional coordinates system. Averaged spikes were adequately modelled by two or three dipolar sources with different onset time of activation but overlapping activity (mean residual variance 3.4 +/- 2.1%). Although, in all patients, spike modelling demonstrated dipolar sources in both mesial and lateral temporal cortex, dipole propagation was consistent with the early involvement of only one of these two areas (mesio-temporal, five patients; lateral and polar neocortex, three patients). Six patients showed a unilateral interictal decrease in glucose uptake, as measured with 18FDG-PET, in the temporal lobe ipsilateral to the EEG spike focus. Temporal hypometabolism was bilateral in one patient and absent in the remaining case. When projected onto PET-scan slices, the dipolar sources of these patients were always included within the hypometabolic area. However, within the hypometabolic zone, the decrease in glucose uptake was not found to be more pronounced in regions containing dipoles. Therefore the spatio-temporal spread of neuronal hyperactivity underlying interictal spiking suggests the presence of preferential epileptogenic networks inside the hypometabolic temporal lobe. Fusion of bioelectric, metabolic and anatomical data proves to be a convenient way of summarizing multimodal information from non-invasive investigations in TLE patients entering an epilepsy surgery programme, and suggests that both interictal spike dipole modelling and 18FDG-PET data might be useful, as a complement to ictal electro-clinical data, in the presurgical evaluation of such patients.

Adult↗
PubMed1996

Monitoring of cerebral oxygenation in patients with severe head injuries: brain tissue PO2 versus jugular vein oxygen saturation.

Monitoring of cerebral oxygenation is considered to be of great importance in minimizing secondary hypoxic and ischemic brain damage following severe head injury. Although the threshold for cerebral hypoxia in jugular bulb oximetry (measurement of O2 saturation in the jugular vein (SjvO2)) is generally accepted to be 50% oxygen saturation, a comparable value in brain tissue PO2 (PtiO2) monitoring, a new method for direct assessment of PO2 in the cerebral white matter, has not yet been established. Hence, the purpose of this study was to compare brain PtiO2 with SjvO2 in severely head injured patients during phases of reduced cerebral perfusion pressure (CPP) to define a threshold in brain PtiO2 monitoring. In addition, the safety and data quality of both SjvO2 and brain PtiO2 monitoring were studied. In 15 patients with severe head injuries, SjvO2 and brain PtiO2 were monitored simultaneously. For brain PtiO2 monitoring a polarographic microcatheter was inserted in the frontal cerebral white matter, whereas for SjvO2 measurements were obtained by using a fiberoptic catheter placed in the jugular bulb. Intracranial pressure was monitored by means of an intraparenchymal catheter. Mean arterial blood pressure, CPP, end-tidal CO2, and arterial oxygen saturation (pulse oximetry) were continuously recorded. All data were simultaneously stored and analyzed using a multimodal computer system. For specific analysis, phases of marked deterioration in systemic blood pressure and consecutive reductions in CPP were investigated. There were no complications that could be attributed to the PtiO2 catheters, that is, no intracranial bleeding or infection. The "time of good data quality" was 95% in brain PtiO2 compared to 43% in SjvO2; PtiO2 monitoring could be performed twice as long as SjvO2 monitoring. During marked decreases in CPP, SjvO2 and brain PtiO2 correlated closely. A significant second-order regression curve of SjvO2 versus brain PtiO2 (p < 0.01) was plotted. At a threshold of 50% in SjvO2, brain PtiO2 was found to be within the range of 3 to 12 mm Hg, with a regression curve "best fit" value of 8.5 mm Hg. There was a close correlation between CPP and oxygenation parameters (PtiO2 and SjvO2) when CPP fell below a breakpoint of 60 mm Hg, suggesting intact cerebral autoregulation in most patients. This study demonstrates that monitoring brain PtiO2 is a safe, reliable, and sensitive diagnostic method to follow cerebral oxygenation. In comparison to SjvO2, PtiO2 is more suitable for long-term monitoring. It can be used to minimize episodes of secondary cerebral maloxygenation after severe head injury and may, hopefully, improve the outcome in severely head injured patients.

Adolescent↗
PubMedDate not supplied

Combined treatment modalities: the need for innovative approaches.

Much of what is accepted as conventional chemical dependence treatment is not supported by rigorous clinical studies. However, the considerable supportive literature and data on methadone treatment has not ensured this treatment modality's acceptance by the medical and/or chemical dependence treatment community. The now obvious connection between AIDS and intravenous drug use demands an objective assessment of and inclusive approach to this problem. The need for effective treatment--both multimodal and acceptable to the addict--is discussed. Data are presented describing the characteristics of a successful methadone program that supports long-term treatment and adequate individual dosing. The disparity between the data and general attitudes toward methadone treatment is discussed. The variable quality among methadone treatment programs is also addressed, urging improved quality of care throughout the modality. It is suggested that quality of life issues are perhaps more important than the drug-free state. Some observations on recovery-oriented methadone treatment are made. A definition of abstinence that provides for appropriate use of licit psychoactive drugs is proposed.

Acquired Immunodeficiency Syndrome↗
PubMed1985

Management of locally advanced and inflammatory carcinoma of the breast.

From the data presented, there seems little doubt that multimodality systemic and local therapy offers the best chance of long term control and survival in patients with locally advanced noninflammatory and inflammatory carcinoma of the breast. However, the best method of sequencing these modalities remains inadequately defined. The rationale for systemic therapy is that systemic micrometastases are present at diagnosis; since almost all patients die from systemic disease, it would seem preferable to use chemotherapy first, while the disseminated tumor burden is low. Furthermore, this would allow an assessment of local response to the agents administered. However, chemotherapy almost never sterilizes bulky local disease, and local control rates are significantly improved by concurrent or sequential use of a local modality. From the information presented, it would appear that combined operation and radiotherapy may give a better outcome than either modality alone. However, in series in which chemotherapy plus one local modality are used, the five year, local failure rates were 20 to 35 per cent; with the use of two local modalities, the local failure rate was not significantly better (16, 20 and 22 per cent). The full effect of using two local modalities with systemic chemotherapy has not been satisfactorily explored to date. Many groups have suggested that the local control rate is proportional to the dose of radiotherapy given. Since iridium192 implantation permits larger doses of radiotherapy to the local tumor without an apparent increase in toxicity, it holds great promise as a means of improving local control in this disease and should be considered in all instances. Randomized studies comparing iridium192 with operation as an adjunct to external beam radiotherapy are needed. Although there is little doubt that combination systemic chemotherapy is mandatory for improved survival in these patients, the appropriate drugs, combination and scheduling are yet to be defined. Data from studies of metastatic carcinoma of the breast indicate that combinations of two to four drugs, including doxorubicin, give the best response rates. Recently, a number of anthracycline analogues have been studied, in particular mitoxantrone, with response rates comparable to doxorubicin but with less toxicity. These agents could be used effectively in future chemotherapy programs for locally advanced and inflammatory carcinoma of the breast. The place of endocrine manipulation also remains undefined. In general, women who present with carcinoma of the breast later in life are more likely to have hormone receptor positive, endocrine responsive tumors.(ABSTRACT TRUNCATED AT 400 WORDS)

Antineoplastic Agents↗
PubMed2025

Alzheimer's subtypes A supervised, unsupervised, multimodal, multilayered embedded recursive (SUMMER) AI study.

Since Alzheimer's disease (AD) is a heterogeneous disease, different subtypes may have distinct biological, genetic, and clinical characteristics, requiring tailored interventions. While several proposed subtypes of AD exist, there is still no clear consensus on a definitive classification. By leveraging complementary AI approaches, including supervised and unsupervised learning, within a recursive pipeline (SUMMER) that integrates multimodal datasets encompassing MRI measurements, phenotypes, and genetic data, our goal was to generate robust scientific evidence for identifying AD subtypes. Data was downloaded from the Alzheimer's Disease Neuroimaging Initiative (ADNI) database and included neuroimaging data (MRI), genetics (SNPs), clinical diagnosis, and demographics. 1133 European American participants' images, aged 55-95, were included in this study. The analysis was multi-fold, where the first step involved applying an unsupervised application to a subset of the MRI sample (AD + cognitively normal (CN) aged matched groups, 100 men aged 68-85 years, and 76 women aged 68-85 years). The MRI brain gray matter was segmented into 44 regions of interest (ROIs) according to a standard atlas, and 618 features were extracted, including ROI voxel intensity measurements such as minimum, maximum, and histogram variables. Results identified a cluster of subtype AD men and a cluster of subtype AD women that were distinct from the rest of their respective samples. In the next step, the integrity of the identified subtype AD clusters was investigated using the XGBoost supervised machine learning application with genetic features (SNPs, N=36,724) and labels: the identified subtype AD cluster vs. the rest of the sample, stratified by sex. A significant AD subtype men model (accuracy=0.85, F1=0.72, AUC=0.83) and a significant women AD subtype model (accuracy=0.81, F1=0.81, AUC=0.81) were built, confirming the homogeneity of the isolated AD subtype clusters. Discriminative biomarkers were extracted from the significant models, including selected ROIs and SNPs. Finally, the subtype models were tested on an unseen subset of ADNI data. The genetic-based models identified clusters of AD subtype participants consisting of 34% of the men AD group and 47% of the women AD group. Phenotypic analysis indicates that lower body weight was associated with the women's AD subtype. Complex diseases like AD demand a sophisticated, multimodal approach for precise diagnosis. Effectively identifying disease subtypes enhances the potential for personalized treatment, ultimately improving patient outcomes.

Journal Article↗
PubMed2026

TCRspec: A Recognition Interface-Informed Multimodal Method for TCR-pMHC Specificity Prediction.

Specific recognition between T-cell receptors (TCRs) and peptide-major histocompatibility complexes (pMHCs) is central to adaptive immunity, yet accurate prediction of TCR-pMHC specificity remains challenging. Existing models mainly rely on sequence features or isolated molecular structures, limiting their ability to capture interface-level determinants within the ternary recognition complex. Here, we constructed the multimodal TCR-pMHC ternary complex (MM-TCR) data set, integrating paired TCR-pMHC sequences, V/J gene annotations, and modeled TCR-pMHC complex structures refined by short molecular dynamics-based relaxation. Based on MM-TCR, we developed TCRspec, an interpretable multimodal framework combining sequence embeddings, gene-usage features, and complex-level structural representations. Under a stringent CD-HIT TCR-cluster-disjoint split, TCRspec achieved an average AUROC of 0.896 and AUPRC of 0.882 across seven antigen-specific test data sets, outperforming representative baseline models. Cross-validation and ablation analyses confirmed the contribution of ternary complex structural information and MD-refined structures. In independent OOD peptide-TCR systems, TCRspec retained discriminative performance and identified model-inferred peptide positions associated with TCR recognition, providing a structure-informed framework for TCR specificity prediction.

Receptors, Antigen, T-Cell↗
PubMed2001

Fourier Transform Spectroscopy of the BaI Molecule: Simultaneous Analysis of Seven Electronic States Including the D(2)Sigma(+) and the G(2)Sigma(+) States.

In this work, the BaI D(2)Sigma(+) and G(2)Sigma(+) electronic states were investigated using laser-induced fluorescence (LIF) and Fourier transform spectroscopy (FTS). The LIF visible spectra were obtained by using the second harmonic of the Ti:sapphire single-mode laser and the Ar(+) and Kr(+) multimode lasers as excitation sources. Previously recorded data, taken from C. A. Leach, A. A. Tsekouras, and R. N. Zare (1992, J. Mol. Spectrosc. 153, 59-72) and from R. F. Gutterres, J. Vergès, and C. Amiot (1999, J. Mol. Spectrosc. 196, 29-44; 2000, J. Mol. Spectrosc. 200, 253-260; and 2000, J. Mol. Spectrosc. 201, 326-327) were combined with the present data. Accurate and improved molecular constants for the X(2)Sigma(+), B(2)Sigma(+), A('2)Delta, A(2)Pi, C(2)Pi, and D(2)Sigma(+) states and 16 term values of the G(2)Sigma(+) state were derived from a simultaneous treatment of the whole data set (12 684 transitions) with a standard deviation of 3.26x10(-3) cm(-1). Copyright 2001 Academic Press.

Journal Article↗
PubMed2000

[Treatment of acute clinical stroke].

Stroke is an emergency. Treatment must begin as soon as possible because significant sustained neurological improvement has been demonstrated when thrombolytic treatment, mainly with recombined tissue plasminogen activator (rtPA) is initiated within the first hours of stroke onset. On the other hand in the acute phase of stroke it is critical that patients get adequate management for the prevention of early complications. Management of the acute phase of stroke is the target of this article. Preclinically started treatment must be continued in the neurological emergency unit. Clinical examination is followed by technical investigations: cerebral computer tomography (CCT) is the most useful radiological investigation in the acute phase. It allows to distinguish between ischemia and hemorrhagic lesions and also to rule out nonstroke brain conditions. Multimodal magnetic resonance imaging (mMRI) may provide data on viable versus irreversibly damaged tissue. Sufficient stroke treatment is based on well managed in-hospital infrastructure. Thrombolysis is the only causative treatment of stroke in selected patients. Complications of acute stroke comprise changes of blood pressure with hemodynamically relevant effects on cerebral perfusion pressure, acute post- ischemic brain edema, and intracerebral bleedings.

Brain↗
PubMed2005

[Neoadjuvant therapy for resectable esophageal cancer].

BACKGROUND: Surgical excision remains the only therapeutic approach with curative potential in patients with localized esophageal cancer. Due to the presence of lymph node metastases upon diagnosis in a large percentage of patients with locally advanced tumors and/or the presence of considerable co-morbidity, only a limited number of patients are amenable to surgery. These facts have prompted us to evaluate approaches including perioperative therapy modalities. METHODS: By means of a computer-supported search (MEDLINE, ASCO Proceedings) as well as a manual literature search, randomized clinical trials and meta-analyses evaluating preoperative therapy plus surgery in patients with resectable esophageal cancer were identified. RESULTS: Twenty-three randomized clinical studies and five meta-analyses were identified. Interpretation--especially of the older studies--however, is hampered by the lack of a stringent application of modern examination techniques allowing for exact specification of tumor stage (resectable/locally advanced) as well as the inclusion of patients with different histological entities (squamous cell/adenocarcinoma), different surgical techniques and the low number of patients. There were no significant differences for the following perioperative therapy modalities regarding tumor-related mortality: preoperative radiotherapy versus postoperative radiotherapy, preoperative and postoperative radiotherapy versus postoperative radiotherapy (higher mortality in preoperative and postoperative radiotherapy arm), preoperative radiotherapy versus surgery, preoperative chemotherapy versus surgery, preoperative and postoperative chemotherapy versus surgery. In terms of 3-year mortality, statistically significant differences could be found for the following therapy modalities: preoperative radiochemotherapy versus surgery (preoperative therapy superior), preoperative chemotherapy versus preoperative radiotherapy (preoperative radiotherapy superior). CONCLUSION: Judging from these data, no clear recommendation for a standard multimodality approach outside clinical studies can be given for patients with resectable esophageal cancer. Neoadjuvant therapy, therefore, can only be recommended in centers with a maximum surgical expertise and in the context of multidisciplinary study protocols.

Antibiotics, Antineoplastic↗
PubMed2006

Postcesarean analgesia: effective strategies and association with chronic pain.

PURPOSE OF REVIEW: The management of postoperative pain after cesarean section slightly differs from that of the general surgical population, specifically women need to recover quickly to take care of their newborn baby. Optimal pain management is imperative for the success of immediate-term and long-term rehabilitation and this principle applies to obstetric patients. There is growing evidence that perioperative pain management has consequences extending well beyond the immediate recovery period. Unrelieved postoperative pain is a striking risk factor for the development of residual pain. RECENT FINDINGS: A recent study has highlighted that chronic pain may be a significant clinical problem after cesarean section. Among the risk factors, recalls of severe acute postoperative pain led to the reconsideration of postoperative pain management after cesarean delivery. Current published data agree that drug combinations, that is, multimodal or balanced analgesia, are mandatory to achieve satisfactory and effective pain relief with reduced side effects. SUMMARY: The use of balanced analgesia has significantly improved acute pain management after cesarean section. Future studies should extend their investigations beyond the first 48 h and consider the long-term effects of different analgesic regimens, that is, those that alter the development of residual pain.

Analgesia↗
PubMed1995

Registration error quantification of a surface-based multimodality image fusion system.

This paper presents a new reference data set and associated quantification methodology to assess the accuracy of registration of computerized tomography (CT) and magnetic-resonance (MR) images. Also described is a new semiautomatic surface-based system for registering and visualizing CT and MR images. The registration error of the system was determined using a reference data set that was obtained from a cadaver in which rigid fiducial tubes were inserted prior to imaging. Registration error was measured as the distance between an analytic expression for each fiducial tube in one image set and transformed samples of the corresponding tube obtained from the other. Registration was accomplished by first identifying surfaces of similar anatomic structures in each image set. A transformation that best registered these structures was determined using a nonlinear optimization procedure. Even though the root-mean-square (rms) distance at the registered surfaces was similar to that reported by other groups, it was found that rms distances for the tubes were significantly larger than the final rms distances between the registered surfaces. It was also found that minimizing rms distance at the surface did not minimize rms distance for the tubes.

Biophysical Phenomena↗
PubMed2006

A simplified method to integrate metabolic images in stereotactic procedures using a PET/CT scanner.

We have developed a method that needs only the computed tomography (CT) indicator box to coregister positron emission tomography (PET) images and integrates this information with magnetic resonance imaging. The study was performed using a PET/CT scanner. A standard CT bed adapter was attached to the scanner couch. Then, the patient, with the Leksell G frame fixed, was positioned into the scanner with the CT indicator box. PET images were acquired using either [18F]fluorodeoxyglucose or [11C]choline as radioisotopes. After acquisition, CT and PET images were exported in DICOM 3 standard and transferred to a dedicated workstation via data link. Homemade software was implemented for multimodal image fusion. PET images were overwritten to their corresponding CT point values using a threshold algorithm, maintaining the stereotactic CT markers. The use of a CT indicator simplifies the procedure, because there is no need for a radioactive solution filling the indicator box. This method was tested first using a phantom and then in patients. The localization accuracy of the PET images is limited only by the slice thickness.

Aged↗
PubMed2026

AI-driven diagnostic and prognostic models for metabolic dysfunction-associated steatotic liver disease: insights from clinical, imaging, and multi-omics studies-a scoping review.

Metabolic dysfunction-associated steatotic liver disease (MASLD), formerly known as non-alcoholic fatty liver disease (NAFLD), is the most common chronic liver disease around the world, affecting 33.6% of the adult population (95% CI: 28.1%-39.5%; I 2&#x2009;=&#x2009;99.9%), or roughly one in three. The extent of the liver damage is variable, from simple steatosis to metabolic dysfunction-associated steatohepatitis (MASH, formerly NASH), cirrhosis and hepatocellular carcinoma (HCC). Early diagnosis is essential to prevent serious liver damage. Traditional diagnostic techniques such as liver biopsy, imaging, and biomarker testing are all invasive, costly, reduced sensitive to early-stage disease, and they also have variability among observers. Modern diagnostic and prognostic approaches based on the principles of Artificial Intelligence (AI) and specifically on machine learning (ML) and deep learning (DL) have enabled multimodal approaches integrating clinical, imaging and molecular data. This scoping review conducted per PRISMA-ScR guidelines, synthesizes findings from 73 studies (search window 2020-2026) across three dimensions: clinical data driven models, imaging-based classifiers (ultrasound, CT and MRI), and multi-omics (genomics, transcriptomics and proteomics) techniques. Moreover, emergence of models such as U-Net and LiverNet 2.x, classification models like DeepLiverNet and BiLSTM models, as well as transformer frameworks and the identification of biomarkers models are also described. This study also investigates challenges such as data heterogeneity, data interpretability, fairness and real-world clinical application. Finally, important areas of research opportunities and future directions are highlighted to present a developing clinically applicable, explainable and ethical AI solutions to manage MASLD.

MASLD↗
PubMed2004

Multiple comparisons in drug efficacy studies: scientific or marketing principles?

When researchers design an experiment to compare a given medication to another medication, a behavioral therapy, or a placebo, the experiment often involves numerous comparisons. For instance, there may be several different evaluation methods, raters, and time points. Although scientifically justified, such comparisons can be abused in the interests of drug marketing. This article provides two recent examples of such questionable practices. The first involves the case of the arthritis drug celecoxib (Celebrex), where the study lasted 12 months but the authors only presented 6 months of data. The second case involves the NIMH Multimodal Treatment Study (MTA) study evaluating the efficacy of stimulant medication for attention-deficit hyperactivity disorder where ratings made by several groups are reported in contradictory fashion. The MTA authors have not clarified the confusion, at least in print, suggesting that the actual findings of the study may have played little role in the authors' reported conclusions.

Adult↗
PubMed2003

Evaluation of neuronavigation in lesional and non-lesional epilepsy surgery.

OBJECTIVE: For many patients, surgery for intractable epilepsy provides not only freedom or substantial relief from seizures, but also functional improvement and increased quality of life. Precise intraoperative localization of the underlying structural and functional processes is crucial in this regard. The aim of this study was to clinically evaluate whether neuronavigation leads to an improvement in the precision and safety of epilepsy surgery. In this paper, we also attempt to assess the navigation workstation as a platform for the integration of multimodal information (multimodal information guidance). PATIENTS: Out of a series of 223 epilepsy surgery procedures, 140 were performed with the aid of neuronavigation. Patient and surgical data were prospectively collected. METHODS: We used the neuronavigation device as a common platform to merge complementary information modalities. Correlation of anatomic and structural details with functional information contributed to the surgical script in non-lesional and localization-related epilepsy surgery. At least two different information modalities contributed to planning and surgical guidance in every patient. Immediately following the operative procedure, the surgeon answered a set of questions on the reasons for the application of neuronavigation, and the efficiency and safety of navigation. Detailed analysis of the location of the operative procedure, histopathological findings and outcome was performed. RESULTS: The main benefits of neuronavigation in epilepsy surgery were precision of targeting even in small and deep-seated targets, safe manipulation in critical brain areas, accurate placement of electrodes, and correlation of electro-clinical information modalities with underlying structures. Furthermore, navigation provided individual tailoring of craniotomy and corticotomy. It was less reliable for verification of resection boundaries in the case of underlying glioma. Neuronavigational localization and its combination with image fusion and functional investigations greatly improved discussion within the epilepsy surgery team. CONCLUSION: The neuronavigation concept proved its value in epilepsy surgery by linking anatomic, pathologic and functional data of the individual patient. Enhanced by the integration of multimodal information, neuronavigation significantly improved the available treatment options.

Adolescent↗