Distinctive neuropsychological profiles of lateral temporal lobe epilepsy

Longo, Alessia; Houot, Marion; Herlin, Bastien; Méré, Marie; Denos, Marisa; Samson, Séverine; Dupont, Sophie

doi:10.1016/j.yebeh.2021.108411

Cited by 4 publications

(2 citation statements)

References 53 publications

(58 reference statements)

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“…44 Moreover, the evidence indicated that the LTC is involved as an integral part of the cognitive network processing executive function. 45 In our study, we observed that the E nod of the left LTC was positively correlated with executive function measured by ADNI-EF scores in the MCID group, highlighting the role of the left LTC in executive function. In summary, our results revealed that MCI, regardless of SSD status, significantly disrupted the nodal efficiency of the left LTC, providing a neural basis for the left LTC as a therapeutic target for MCI patients.…”

Section: Discussionsupporting

confidence: 54%

“…One study that selected the left LTC as the targeted cortical region for anodal transcranial direct current stimulation (tDCS) found enhanced global cognition and executive function in patients with AD, suggesting that the left LTC was associated with cognitive function, particularly executive function 44 . Moreover, the evidence indicated that the LTC is involved as an integral part of the cognitive network processing executive function 45 . In our study, we observed that the E nod of the left LTC was positively correlated with executive function measured by ADNI‐EF scores in the MCID group, highlighting the role of the left LTC in executive function.…”

Section: Discussionmentioning

confidence: 99%

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Disrupted topological organization of the default mode network in mild cognitive impairment with subsyndromal depression: A graph theoretical analysis

Du,

Nie,

Zhang

et al. 2023

CNS Neurosci Ther

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AimsSubsyndromal depression (SSD) is common in mild cognitive impairment (MCI). However, the neural mechanisms underlying MCI with SSD (MCID) are unclear. The default mode network (DMN) is associated with cognitive processes and depressive symptoms. Therefore, we aimed to explore the topological organization of the DMN in patients with MCID.MethodsForty‐two MCID patients, 34 MCI patients without SSD (MCIND), and 36 matched healthy controls (HCs) were enrolled. The resting‐state functional connectivity of the DMN of the participants was analyzed using a graph theoretical approach. Correlation analyses of network topological metrics, depressive symptoms, and cognitive function were conducted. Moreover, support vector machine (SVM) models were constructed based on topological metrics to distinguish MCID from MCIND. Finally, we used 10 repeats of 5‐fold cross‐validation for performance verification.ResultsWe found that the global efficiency and nodal efficiency of the left anterior medial prefrontal cortex (aMPFC) of the MCID group were significantly lower than the MCIND group. Moreover, small‐worldness and global efficiency were negatively correlated with depressive symptoms in MCID, and the nodal efficiency of the left lateral temporal cortex and left aMPFC was positively correlated with cognitive function in MCID. In cross‐validation, the SVM model had an accuracy of 0.83 [95% CI 0.79–0.87], a sensitivity of 0.88 [95% CI 0.86–0.90], a specificity of 0.75 [95% CI 0.72–0.78] and an area under the curve of 0.88 [95% CI 0.85–0.91].ConclusionsThe coexistence of MCI and SSD was associated with the greatest disrupted topological organization of the DMN. The network topological metrics could identify MCID and serve as biomarkers of different clinical phenotypic presentations of MCI.

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Section: Discussionsupporting

confidence: 54%

Section: Discussionmentioning

confidence: 99%