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1.
Brain Sci ; 13(12)2023 Nov 29.
Artigo em Inglês | MEDLINE | ID: mdl-38137104

RESUMO

Though previous studies with autistic individuals have provided behavioral evidence of animacy perception difficulties, the spatio-temporal dynamics of animacy processing in autism remain underexplored. This study investigated how animacy is neurally encoded in autistic adults, and whether potential deficits in animacy processing have cascading deleterious effects on their social functioning skills. We employed a picture naming paradigm that recorded accuracy and response latencies to animate and inanimate pictures in young autistic adults and age- and IQ-matched healthy individuals, while also employing high-density EEG analysis to map the spatio-temporal dynamics of animacy processing. Participants' social skills were also assessed through a social comprehension task. The autistic adults exhibited lower accuracy than controls on the animate pictures of the task and also exhibited altered brain responses, including larger and smaller N100 amplitudes than controls on inanimate and animate stimuli, respectively. At late stages of processing, there were shorter slow negative wave latencies for the autistic group as compared to controls for the animate trials only. The autistic individuals' altered brain responses negatively correlated with their social difficulties. The results suggest deficits in brain responses to animacy in the autistic group, which were related to the individuals' social functioning skills.

2.
Neurol Sci ; 44(6): 2181-2183, 2023 Jun.
Artigo em Inglês | MEDLINE | ID: mdl-36705786

RESUMO

The case report covers the investigation of a 59-year-old woman, with the diagnosis of logopenic variant of primary progressive aphasia (lvPPA), who presented de novo visual artistic talent after the onset of language deficits. Similar cases have been described in patients with semantic and non-fluent/agrammatic variants of primary progressive aphasia. However, this is the first related case with lvPPA reported in the literature. Upon her initial visit at the Neurology department in 2020, a neurological and neuropsychological assessment were conducted to establish the diagnosis. A neuropsychological reassessment was performed in 2022. Neuroimaging data indicated decreased blood flow of the left hemisphere, while neuropsychological deficits were diffuse with predominant language production disorder. A description of the patient's portraits and suggestions regarding possible neural mechanisms associated with the manifestation of this ability are provided.


Assuntos
Afasia Primária Progressiva , Humanos , Feminino , Pessoa de Meia-Idade , Afasia Primária Progressiva/diagnóstico por imagem , Testes Neuropsicológicos , Neuroimagem , Idioma
3.
Healthcare (Basel) ; 10(5)2022 May 13.
Artigo em Inglês | MEDLINE | ID: mdl-35628043

RESUMO

Objective: Cognitive screening instruments (CSIs) are essential for everyday practice. The Quick Mild Cognitive Impairment (Qmci) screen, a short instrument designed to identify mild cognitive impairment, was recently translated into Greek (Qmci-Gr). The present study compared its diagnostic value against the Montreal Cognitive Assessment (MoCA) screen and examined its optimal cutoffs. Method: We recruited consecutive patients aged ≥55 years that presented with cognitive complaints from two outpatient clinics in Greece. The Qmci-Gr and MoCA were completed by all patients. Furthermore, they were assessed independently with a comprehensive flexible neuropsychological battery to establish a diagnostic classification. Results: In the current study, we assessed a total of 145 patients, with a median age of 70 years; 44 were classified as having Subjective Memory Complaints (SMC) but normal cognition, 32 with MCI and 69 with dementia. The Qmci-Gr had a higher accuracy compared to the MoCA in discriminating MCI from dementia, area under the curve (AUC) of 0.81 versus 0.75, respectively; however, this finding was marginally significant (p = 0.08). Its accuracy was marginally higher for distinguishing SMC from dementia, AUC of 0.94 versus 0.89 (p = 0.03). However, Qmci-Gr presented a lower accuracy than MoCa in differentiating SMC from MCI, AUC of 0.76 versus 0.94 (p = 0.006). Conclusions: The Qmci-Gr has comparable diagnostic accuracy to the MoCA regarding MCI and dementia groups. Further research, with larger and more diverse samples, may be necessary to ensure generalizability.

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