Can epilepsy be cured? A review

Kumar, Hardik; Debnath, Shilpa; Sharma, Amit

doi:10.1016/j.hsr.2022.100062

Cited by 4 publications

(6 citation statements)

References 48 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Seizures result from abnormal sudden electrical discharges in the brain, often typically presenting with loss of consciousness, convulsion, atypical movements, behavioral alterations or emotions 3 , 4 . Additionally, epilepsy is one of the most common neurological diseases since around 50 million people worldwide have it 5 .…”

Section: Introductionmentioning

confidence: 99%

Performance investigation of epilepsy detection from noisy EEG signals using base-2-meta stacking classifier

Islam,

Basak

et al. 2024

Sci Rep

View full text Add to dashboard Cite

Epilepsy is a chronic neurological disease, characterized by spontaneous, unprovoked, recurrent seizures that may lead to long-term disability and premature death. Despite significant efforts made to improve epilepsy detection clinically and pre-clinically, the pervasive presence of noise in EEG signals continues to pose substantial challenges to their effective application. In addition, discriminant features for epilepsy detection have not been investigated yet. The objective of this study is to develop a hybrid model for epilepsy detection from noisy and fragmented EEG signals. We hypothesized that a hybrid model could surpass existing single models in epilepsy detection. Our approach involves manual noise rejection and a novel statistical channel selection technique to detect epilepsy even from noisy EEG signals. Our proposed Base-2-Meta stacking classifier achieved notable accuracy (0.98 ± 0.05), precision (0.98 ± 0.07), recall (0.98 ± 0.05), and F1 score (0.98 ± 0.04) even with noisy 5-s segmented EEG signals. Application of our approach to the specific problem like detection of epilepsy from noisy and fragmented EEG data reveals a performance that is not only superior to others, but also is translationally relevant, highlighting its potential application in a clinic setting, where EEG signals are often noisy or scanty. Our proposed metric DF-A (Discriminant feature-accuracy), for the first time, identified the most discriminant feature with models that give A accuracy or above (A = 95 used in this study). This groundbreaking approach allows for detecting discriminant features and can be used as potential electrographic biomarkers in epilepsy detection research. Moreover, our study introduces innovative insights into the understanding of these features, epilepsy detection, and cross-validation, markedly improving epilepsy detection in ways previously unavailable.

show abstract

Section: Introductionmentioning

confidence: 99%

Performance investigation of epilepsy detection from noisy EEG signals using base-2-meta stacking classifier

Islam,

Basak

et al. 2024

Sci Rep

View full text Add to dashboard Cite

show abstract

“…49% of epilepsy patients live in low-to middle-income countries; in exceptional cases, this number may increase to 139/100,000 people. [2,3] A seizure with a high likelihood of recurrence or a diagnosis of an epilepsy syndrome describes epilepsy, which is a chronic neurological illness. [3,4] It affects people of all ages and has an impact on the patients' and their families' social, behavioral, health, and economic well-being.…”

Section: Introductionmentioning

confidence: 99%

“…[2,3] A seizure with a high likelihood of recurrence or a diagnosis of an epilepsy syndrome describes epilepsy, which is a chronic neurological illness. [3,4] It affects people of all ages and has an impact on the patients' and their families' social, behavioral, health, and economic well-being. [3,5] With the right care, the great majority of epilepsy sufferers are able to lead normal lives.…”

Section: Introductionmentioning

confidence: 99%

“…[3,4] It affects people of all ages and has an impact on the patients' and their families' social, behavioral, health, and economic well-being. [3,5] With the right care, the great majority of epilepsy sufferers are able to lead normal lives. [6] However, some people have severe co-morbidities such as mental retardation and psychiatric illnesses.…”

Section: Introductionmentioning

confidence: 99%

“…[7] Epilepsy accounts for 0.3% of all fatalities globally, according to the Global Burden of Disease Study, which was carried out by various regulatory bodies such as the World Health Organization, the World Bank, and the Harvard School of Public Health with financing from the Bill and Melinda Gates Foundation. [3,8,9] This review provides imaging therapy used for the diagnoses which are compared according to the cost of individual imaging techniques reliable or affordable for the patient.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Modern advances in epilepsy imaging used on the basis of cost: A review

Kumar,

Kamaljeet,

Debnath

et al. 2023

Pharmaspire

View full text Add to dashboard Cite

Epilepsy is a chronic neurologic condition that affects social behavior, health, the economy, and social functioning. Worldwide, an estimated 5 million people are diagnosed with epilepsy each year. More than 50 million people are reportedly affected globally. 49% of epilepsy patients live in low-to middle-income countries; in exceptional situations, this number may reach 139/100,000 people. This review provides imaging therapy used for the diagnoses which are compared according to the cost of individual imaging techniques reliable or affordable for the patient. The main tools used to evaluate patients with epilepsy are electroencephalography (EEG), and the functional imaging modalities for epilepsy are positional emission tomography, single-photon emission computed tomography (CT), tissue ablation using high-intensity focused ultrasound, deep non-invasive neuromodulation, and blood–brain barrier opening using superficial targets, focused ultrasound, magnetoencephalography (MEG), and magnetic resonance imaging (MRI). In the differential diagnosis imaging findings, the treatment of epilepsy is significantly better. By comparing the one-time cost of all imaging techniques, the three techniques mostly used are CT, MRI, and EEG. Patients may easily access and afford these imagining techniques because they are readily available at low cost which lies between 1000 and 10,000 rupees.

show abstract

Recent Progresses in Development of Heterocyclic Compounds For Epilepsy Treatment: Key Research Highlights from 2019–2024

Singh,

Nisa,

Mavi

et al. 2024

Chemistry & Biodiversity

View full text Add to dashboard Cite

Epilepsy which is a chronic neurological disorder is characterized by recurrent seizure poses a significant challenge to healthcare professionals worldwide. Most of antiepileptic drugs have serious side effects that might affect the quality of life such as fatigue, dizziness, weight gain and cognitive impairments. In this context, the search for more effective and potential antiepileptic drug candidate has led to a growing interest in the field of synthesis of heterocyclic compounds. This review will focus on the utilization of heterocyclic moieties including imidazole, indole, thiazole, triazine, quinazoline and oxazole which show remarkable anticonvulsant properties. Furthermore, the exploration of various methodologies for the synthesis of heterocyclic anticonvulsant drugs such as green methodologies and microwave assisted protocols have contributed to the development of environment friendly, more efficient and potential approaches. The review will distinguish from previous ones by specifically focusing on innovative synthetic methodologies, including greener methodologies and micro‐assisted techniques, that contribute to eco‐friendly and environment benign approaches during 2019–2024. In addition to this, the review will focus on the Structure Activity Relationship (SAR) studies of heterocyclic compounds in order to offer insight into the design of next generation antiepileptic drugs with improved efficacy and reduced side effects.

show abstract

Can epilepsy be cured? A review

Cited by 4 publications

References 48 publications

Performance investigation of epilepsy detection from noisy EEG signals using base-2-meta stacking classifier

Performance investigation of epilepsy detection from noisy EEG signals using base-2-meta stacking classifier

Modern advances in epilepsy imaging used on the basis of cost: A review

Recent Progresses in Development of Heterocyclic Compounds For Epilepsy Treatment: Key Research Highlights from 2019–2024

Contact Info

Product

Resources

About