Lateralization of the cerebral network of inhibition in children before and after cognitive training

Omont-Lescieux, Sixtine; Menu, Iris; Salvia, Emilie; Poirel, Nicolas; Oppenheim, Catherine; Houdé, Olivier; Cachia, Arnaud; Borst, Grégoire

doi:10.1016/j.dcn.2023.101293

Cited by 1 publication

(5 citation statements)

References 152 publications

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“…KCNQ2 and KCNQ3 (potassium voltage-gated channel subfamily q member 2 and 3): BFNE is a benign epilepsy syndrome that presents with neonatal seizures, often resolving within the first year of life. Mutations in the KCNQ2 and KCNQ3 genes that encode potassium channels have been identified as causative factors in BFNE [28].…”

Section: Specific Gene Mutations Associated With Epilepsy Subtypesmentioning

confidence: 99%

“…CDKL5 (cyclin-dependent kinase-like 5): CDKL5 deficiency disorder is a rare epileptic encephalopathy characterized by early-onset seizures, severe developmental delay, and intellectual disability. Mutations in the CDKL5 gene, which is involved in neuronal development and synaptic function, are responsible for this disorder [28].…”

Section: Specific Gene Mutations Associated With Epilepsy Subtypesmentioning

confidence: 99%

“…Through genetic testing, specific gene mutations associated with epilepsy syndromes can be identified, leading to a more precise diagnosis. For example, SCN1A mutations are linked to Dravet syndrome [27], while mutations in KCNQ2 and KCNQ3 are associated with benign familial neonatal epilepsy [28]. Improved classification allows clinicians to select treatments that target the underlying cause or mechanism of epilepsy rather than relying solely on empirical AED trials.…”

Section: The Concept Of Precision Medicinementioning

confidence: 99%

“…For instance, in patients with SCN1A mutations and Dravet syndrome, sodium channel-blocking AEDs like stiripentol have shown better efficacy [27]. In contrast, patients with KCNQ2 mutations may benefit from potassium channel openers like ezogabine [28].…”

Section: The Concept Of Precision Medicinementioning

confidence: 99%

“…Specific genetic mutations can result in multiple epilepsy syndromes, thereby obscuring the distinctions between syndromes. For instance, mutations in the SCN1A locus can lead to Dravet syndrome, generalized epilepsy with febrile seizures plus (GEFS+), and other epilepsy phenotypes [27,28]. This genetic overlap makes classification more difficult.…”

Section: Genetic Complexitymentioning

confidence: 99%

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Charting the Progress of Epilepsy Classification: Navigating a Shifting Landscape

Abdelsamad,

Kachhadia,

Hassan

et al. 2023

Cureus

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Epilepsy, a neurological disorder characterized by recurrent seizures, has witnessed a remarkable transformation in its classification paradigm, driven by advances in clinical understanding, neuroimaging, and molecular genetics. This narrative review navigates the dynamic landscape of epilepsy classification, offering insights into recent developments, challenges, and the promising horizon. Historically, epilepsy classification relied heavily on clinical observations, categorizing seizures based on their phenomenology and presumed etiology. However, the field has profoundly shifted from a symptom-based approach to a more refined, multidimensional system. One pivotal aspect of this evolution is the integration of neuroimaging techniques, particularly magnetic resonance imaging (MRI) and functional imaging modalities. These tools have unveiled the intricate neural networks implicated in epilepsy, facilitating the identification of distinct brain abnormalities and the categorization of epilepsy subtypes based on structural and functional findings. Furthermore, the role of genetics has become increasingly prominent in epilepsy classification. Genetic discoveries have not only unraveled the molecular underpinnings of various epileptic syndromes but have also provided valuable diagnostic and prognostic insights. This narrative review delves into the expanding realm of genetic testing and its impact on tailoring treatment strategies to individual patients. As the classification landscape evolves, there are accompanying challenges. The narrative review underscores the transformative potential of artificial intelligence and machine learning in epilepsy classification. These technologies hold promise in automating the analysis of complex neuroimaging and genetic data, offering enhanced accuracy and efficiency in epilepsy diagnosis and classification. In conclusion, navigating the shifting landscape of epilepsy classification is a journey marked by progress, complexity, and the prospect of improved patient care. We are charting a course toward more precise diagnoses and tailored treatments by embracing advanced neuroimaging, genetics, and innovative technologies. As the field continues to evolve, collaborative efforts and a holistic understanding of epilepsy's diverse manifestations will be instrumental in harnessing the full potential of this dynamic landscape.

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Section: Specific Gene Mutations Associated With Epilepsy Subtypesmentioning

confidence: 99%

Section: Specific Gene Mutations Associated With Epilepsy Subtypesmentioning

confidence: 99%

Section: The Concept Of Precision Medicinementioning

confidence: 99%

Section: The Concept Of Precision Medicinementioning

confidence: 99%

Section: Genetic Complexitymentioning

confidence: 99%

See 3 more Smart Citations

Charting the Progress of Epilepsy Classification: Navigating a Shifting Landscape

Abdelsamad,

Kachhadia,

Hassan

et al. 2023

Cureus

View full text Add to dashboard Cite

show abstract

Lateralization of the cerebral network of inhibition in children before and after cognitive training

Cited by 1 publication

References 152 publications

Charting the Progress of Epilepsy Classification: Navigating a Shifting Landscape

Charting the Progress of Epilepsy Classification: Navigating a Shifting Landscape

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