Literature DB >> 33408626

Face Recognition Deficits in a Patient With Alzheimer's Disease: Amnesia or Agnosia? The Importance of Electrophysiological Markers for Differential Diagnosis.

Chiara Mazzi1,2, Gloria Massironi3, Javier Sanchez-Lopez4, Laura De Togni3, Silvia Savazzi1,2.   

Abstract

Face recognition deficits are frequently reported in Alzheimer's disease (AD) and often attributed to memory impairment. However, it has been hypothesized that failure in identifying familiar people could also be due to deficits in higher-level perceptual processes, since there is evidence showing a reduced inversion effect for faces but not for cars in AD. To address the involvement of these higher processes, we investigated event-related potential (ERP) neural correlates of faces in a patient with AD showing a face recognition deficit. Eight healthy participants were tested as a control group. Participants performed different tasks following the stimulus presentation. In experiment 1, they should indicate whether the stimulus was either a face or a house or a scrambled image. In experiments 2 and 3, they should discriminate between upright and inverted faces (in experiment 2, stimuli were faces with neutral or fearful expressions, while in experiment 3, stimuli were famous or unfamiliar faces). Electrophysiological results reveal that the typical face-specific modulation of the N170 component, which is thought to reflect the structural encoding of faces, was not present in patient MCG, despite being affected by the emotional content of the face implicitly processed by MCG. Conversely, the N400 component, which is thought to reflect the recruitment of the memory trace of the face identity, was found to be implicitly modulated in MCG. These results may identify a possible role for gnosic processes in face recognition deficits in AD and suggest the importance of adopting an integrated approach to the AD diagnosis while considering electrophysiological markers.
Copyright © 2020 Mazzi, Massironi, Sanchez-Lopez, De Togni and Savazzi.

Entities:  

Keywords:  Alzheimer's disease; N170; N250; N400; dementia; electrophysiological markers; faces; prosopagnosia

Year:  2020        PMID: 33408626      PMCID: PMC7779478          DOI: 10.3389/fnagi.2020.580609

Source DB:  PubMed          Journal:  Front Aging Neurosci        ISSN: 1663-4365            Impact factor:   5.750


  2 in total

1.  Jatrorrhizine can improve nerve cell injury induced by Aβ 25-35, acting through miR-223-3p/HDAC4 axis.

Authors:  Wenbiao Duan; Xue Chen
Journal:  Am J Transl Res       Date:  2021-05-15       Impact factor: 4.060

2.  Deep Convolutional Neural Network-Based Visual Stimuli Classification Using Electroencephalography Signals of Healthy and Alzheimer's Disease Subjects.

Authors:  Dovilė Komolovaitė; Rytis Maskeliūnas; Robertas Damaševičius
Journal:  Life (Basel)       Date:  2022-03-04
  2 in total

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