Is it possible to predict performance in attention by measuring key metabolites in the PCC with 7T MRS?

Author:

Collee Maria1,Rajkumar Ravichandran2,Farrher Ezequiel2,Hagen Jana1,Ramkiran Shukti2,Schnellbächer Gereon Johannes1,Khudeish Nibal2,Shah Nadim Joni2,Veselinovic Tanja1,Neuner Irene1

Affiliation:

1. Department of Psychiatry, Psychotherapy and Psychosomatics, RWTH Aachen University

2. Institute of Neuroscience and Medicine 4, INM-4, Forschungszentrum Jülich

Abstract

Abstract The posterior cingulate cortex (PCC) is a key hub of the default mode network and is known to play an important role in attention. Using ultra-high field 7 Tesla magnetic resonance spectroscopy (MRS) to quantify neurometabolite concentrations, this exploratory study investigated the effect of the absolute concentrations of myo-inositol (Ins), glutamate (Glu), glutamine (Gln), aspartate or aspartic acid (Asp) and gamma-amino-butyric acid (GABA) in the PCC on attention in forty-six healthy participants. Each participant underwent an MRS scan and cognitive testing, consisting of a trail-making test (TMT A/B) and a test of attentional performance (TAP). After a multiple regression analysis and bootstrapping for correction, the findings show that Ins and Asp significantly influence (p < .05) attentional tasks. Whereas sugar Ins improves TMT A and TMT B times, aspartate leads to more mistakes in go/no-go tasks and shows a trend towards enhancing reaction time in go/no-go tasks and stability of alertness without signal. No significant (p > .05) influence of Glu, Gln and GABA was observed.

Publisher

Research Square Platform LLC

全球学者库

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"全球学者库"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前全球学者库共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2023 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3