Literature DB >> 24583406

Resting state executive control network adaptations in amnestic mild cognitive impairment.

Liyong Wu1, Ricardo Bernardi Soder2, Dorothée Schoemaker3, Felix Carbonnell4, Viviane Sziklas5, Jared Rowley3, Sara Mohades3, Vladmir Fonov4, Pierre Bellec4, Alain Dagher4, Amir Shmuel4, Jianping Jia6, Serge Gauthier7, Pedro Rosa-Neto2.   

Abstract

Executive dysfunction is frequently associated with episodic memory decline in amnestic mild cognitive impairment (aMCI) patients. Resting state executive control network (RS-ECN) represents a novel approach to interrogate the integrity of brain areas underlying executive dysfunction. The present study aims to investigate RS-ECN in aMCI and examine a possible link between changes in brain functional connectivity and declines in executive function. aMCI individuals (n = 13) and healthy subjects (n = 16) underwent cognitive assessment including executive function and high field functional magnetic resonance imaging. Individual RS-ECN maps were estimated using a seed-based cross-correlation method. Between groups RS-ECN functional connectivity comparison was assessed using voxel-wise statistic parametric mapping. aMCI individuals had reduced RS-ECN connectivity in the anterior cingulate cortex (ACC) and dorsal lateral prefrontal cortex (DLPFC), bilaterally. In contrast, aMCI showed increased connectivity in ventral lateral and anterior prefrontal cortex, bilaterally. Connectivity strength was associated with executive function in the ACC (r = 0.6213, p = 0.023) and right DLPFC (r = 0.6454, p = 0.017). Coexistence between connectivity declines and recruitment of brain regions outside the RS-ECN as reported here fits a brain reserve conceptual framework in which brain networks undergo remodeling in aMCI individuals.

Entities:  

Keywords:  Executive control network; executive function; functional MRI; mild cognitive impairment; neural plasticity

Mesh:

Substances:

Year:  2014        PMID: 24583406     DOI: 10.3233/JAD-131574

Source DB:  PubMed          Journal:  J Alzheimers Dis        ISSN: 1387-2877            Impact factor:   4.472


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