Literature DB >> 34130767

Hippocampal Volumes in Amnestic and Non-Amnestic Mild Cognitive Impairment Types Using Two Common Methods of MCI Classification.

Natalie A Emmert1, Katherine E Reiter2, Alissa Butts1, Julie K Janecek1, Mohit Agarwal1, Malgorzata Franczak1, James Reuss3, Andrew Klein1, Yang Wang1, Laura Glass Umfleet1.   

Abstract

OBJECTIVES: Mild cognitive impairment (MCI) types may have distinct neuropathological substrates with hippocampal atrophy particularly common in amnestic MCI (aMCI). However, depending on the MCI classification criteria applied to the sample (e.g., number of abnormal test scores considered or thresholds for impairment), volumetric findings between MCI types may change. Additionally, despite increased clinical use, no prior research has examined volumetric differences in MCI types using the automated volumetric software, Neuroreader™.
METHODS: The present study separately applied the Petersen/Winblad and Jak/Bondi MCI criteria to a clinical sample of older adults (N = 82) who underwent neuropsychological testing and brain MRI. Volumetric data were analyzed using Neuroreader™ and hippocampal volumes were compared between aMCI and non-amnestic MCI (naMCI).
RESULTS: T-tests revealed that regardless of MCI classification criteria, hippocampal volume z-scores were significantly lower in aMCI compared to naMCI (p's < .05), and hippocampal volume z-scores significantly differed from 0 (Neuroreader™ normative mean) in the aMCI group only (p's < .05). Additionally, significant, positive correlations were found between measures of delayed recall and hippocampal z-scores in aMCI using either MCI classification criteria (p's < .05).
CONCLUSIONS: We provide evidence of correlated neuroanatomical changes associated with memory performance for two commonly used neuropsychological MCI classification criteria. Future research should investigate the clinical utility of hippocampal volumes analyzed via Neuroreader™ in MCI.

Entities:  

Keywords:  Diagnosis; Hippocampal volume; Memory; Mild cognitive impairment; NeuroReader™; Neuroimaging

Mesh:

Year:  2021        PMID: 34130767     DOI: 10.1017/S1355617721000564

Source DB:  PubMed          Journal:  J Int Neuropsychol Soc        ISSN: 1355-6177            Impact factor:   2.892


  3 in total

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Authors:  Fabian Herold; Berit K Labott; Bernhard Grässler; Nicole Halfpaap; Corinna Langhans; Patrick Müller; Achraf Ammar; Milos Dordevic; Anita Hökelmann; Notger G Müller
Journal:  Healthcare (Basel)       Date:  2022-01-26

2.  Episodic Memory, Hippocampal Volume, and Function for Classification of Mild Cognitive Impairment Patients Regarding Amyloid Pathology.

Authors:  Eliane Correa Miotto; Sonia Maria Dozzi Brucki; Carlos T Cerqueira; Paulo R Bazán; Geise Aline de Almeida Silva; Maria da Graça M Martin; Paula Squarzoni da Silveira; Daniele de Paula Faria; Artur Martins Coutinho; Carlos Alberto Buchpiguel; Geraldo Busatto Filho; Ricardo Nitrini
Journal:  J Alzheimers Dis       Date:  2022       Impact factor: 4.160

3.  Automated Early Detection of Alzheimer's Disease by Capturing Impairments in Multiple Cognitive Domains with Multiple Drawing Tasks.

Authors:  Masatomo Kobayashi; Yasunori Yamada; Kaoru Shinkawa; Miyuki Nemoto; Kiyotaka Nemoto; Tetsuaki Arai
Journal:  J Alzheimers Dis       Date:  2022       Impact factor: 4.160

  3 in total

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