ReviewEpilepsy & behavior : E&B2016
Graph theory and cognition: A complementary avenue for examining neuropsychological status in epilepsy.
Review in Epilepsy & behavior : E&B, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
16 citing papers in PubMed.
- The network neuropsychology of neighborhood deprivation in juvenile myoclonic epilepsy.Scientific reports · 2026Article
- The cognitive connectome in dementia with lewy bodies undergoes early alterations already at the mild cognitive impairment stage.Scientific reports · 2025Article
- The network neuropsychology of juvenile myoclonic epilepsy.Cortex; a journal devoted to the study of the nervous system and behavior · 2025Article
- Arbor-TVB: a novel multi-scale co-simulation framework with a case study on neural-level seizure generation and whole-brain propagation.Frontiers in computational neuroscience · 2025Article
- Graph Metrics Reveal Brain Network Topological Property in Neuropathic Pain Patients: A Systematic Review.Journal of pain research · 2024Review
- Electroencephalography derived connectivity informing epilepsy surgical planning: Towards clinical applications and future perspectives.NeuroImage. Clinical · 2024Review
- The time-evolving epileptic brain network: concepts, definitions, accomplishments, perspectives.Frontiers in network physiology · 2023Review
- Network topology of the cognitive phenotypes of temporal lobe epilepsy.Cortex; a journal devoted to the study of the nervous system and behavior · 2021Article
- The Cognitive Connectome in Healthy Aging.Frontiers in aging neuroscience · 2021Article
- Reconfiguration dynamics of a language-and-memory network in healthy participants and patients with temporal lobe epilepsy.NeuroImage. Clinical · 2021Article
- A Graph Theory Approach to Clarifying Aging and Disease Related Changes in Cognitive Networks.Frontiers in aging neuroscience · 2021Article
- Associations between Neighborhood SES and Functional Brain Network Development.Cerebral cortex (New York, N.Y. : 1991) · 2020Article
- Observational
- Understanding white matter structural connectivity differences between cognitively impaired and nonimpaired active professional fighters.Human brain mapping · 2019Article
- The effects of repetitive transcranial magnetic stimulation on the whole-brain functional network of postherpetic neuralgia patients.Medicine · 2019Article
- Brain structure and organization five decades after childhood onset epilepsy.Human brain mapping · 2017Article
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
The recent revision of the classification of the epilepsies released by the ILAE Commission on Classification and Terminology (2005-2009) has been a major development in the field. Papers in this section of the special issue explore the relevance of other techniques to examine, categorize, and classify cognitive and behavioral comorbidities in epilepsy. In this review, we investigate the applicability of graph theory to understand the impact of epilepsy on cognition compared with controls and, then, the patterns of cognitive development in normally developing children which would set the stage for prospective comparisons of children with epilepsy and controls. The overall goal is to examine the potential utility of this analytic tool and approach to conceptualize the cognitive comorbidities in epilepsy. Given that the major cognitive domains representing cognitive function are interdependent, the associations between neuropsychological abilities underlying these domains can be referred to as a cognitive network. Therefore, the architecture of this cognitive network can be quantified and assessed using graph theory methods, rendering a novel approach to the characterization of cognitive status. We first provide fundamental information about graph theory procedures, followed by application of these techniques to cross-sectional analysis of neuropsychological data in children with epilepsy compared with that of controls, concluding with prospective analysis of neuropsychological development in younger and older healthy controls. This article is part of a Special Issue entitled "The new approach to classification: Rethinking cognition and behavior in epilepsy".
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.