Functional connectivity between task-positive and task-negative brain areas and its relation to working memory performance

被引:260
作者
Hampson, Michelle [1 ]
Driesen, Naomi [2 ]
Roth, Jennifer K. [1 ]
Gore, John C. [3 ,4 ]
Constable, R. Todd [1 ]
机构
[1] Yale Univ, Sch Med, Dept Diagnost Radiol, New Haven, CT 06511 USA
[2] Yale Univ, Sch Med, Dept Psychiat, New Haven, CT 06511 USA
[3] Vanderbilt Univ, Inst Imaging Sci, Nashville, TN 37232 USA
[4] Vanderbilt Univ, Dept Radiol & Radiol Sci, Nashville, TN 37232 USA
基金
美国国家卫生研究院;
关键词
Anticorrelation; Anticorrelations; Default mode; Resting state; Resting; Global regression; RESTING-STATE; DEFAULT MODE; CORTICAL NETWORKS; BOLD SIGNAL; FMRI; FLUCTUATIONS; NOISE; HYPOTHESIS; IMPACT;
D O I
10.1016/j.mri.2010.03.021
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
Functional brain imaging studies have identified a set of brain areas typically activated during cognitive tasks (task-positive brain areas) and another set of brain areas typically deactivated during cognitive tasks (task-negative brain areas). Negative correlations, or anticorrelations, between task-positive and task-negative brain areas have been reported at rest. Furthermore, the strength of these anticorrelations appears to be related to cognitive function. However, studies examining anticorrelations have typically employed global regression or similar analysis steps that force anticorrelated relationships to exist between brain areas. Therefore the validity of these findings has been questioned. Here we examine anticorrelations between a task-negative region in the medial frontal gyrus/anterior cingulate cortex and dorsolateral prefrontal cortex, a classic task-positive area, using an analysis that does not include global regression. Instead, we control for whole-brain correlations in the group-level analysis. Using this approach, we demonstrate that the strength of the functional connection between the medial frontal cortex and the dorsolateral prefrontal cortex is related to cognitive function and that this relationship is not an artifact of global regression. (C) 2010 Elsevier Inc. All rights reserved.
引用
收藏
页码:1051 / 1057
页数:7
相关论文
共 21 条
  • [1] Isolating physiologic noise sources with independently determined spatial measures
    Beall, Erik B.
    Lowe, Mark J.
    [J]. NEUROIMAGE, 2007, 37 (04) : 1286 - 1300
  • [2] Separating respiratory-variation-related neuronal-activity-related fluctuations in fluctuations from fMRI
    Birn, RM
    Diamond, JB
    Smith, MA
    Bandettini, PA
    [J]. NEUROIMAGE, 2006, 31 (04) : 1536 - 1548
  • [3] Imaging cognition II: An empirical review of 275 PET and fMRI studies
    Cabeza, R
    Nyberg, L
    [J]. JOURNAL OF COGNITIVE NEUROSCIENCE, 2000, 12 (01) : 1 - 47
  • [4] Effects of model-based physiological noise correction on default mode network anti-correlations and correlations
    Chang, Catie
    Glover, Gary H.
    [J]. NEUROIMAGE, 2009, 47 (04) : 1448 - 1459
  • [5] Influence of heart rate on the BOLD signal: The cardiac response function
    Chang, Catie
    Cunningham, John P.
    Glover, Gary H.
    [J]. NEUROIMAGE, 2009, 44 (03) : 857 - 869
  • [6] The human brain is intrinsically organized into dynamic, anticorrelated functional networks
    Fox, MD
    Snyder, AZ
    Vincent, JL
    Corbetta, M
    Van Essen, DC
    Raichle, ME
    [J]. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2005, 102 (27) : 9673 - 9678
  • [7] Spontaneous low-frequency BOLD signal fluctuations: An fMRI investigation of the resting-state default mode of brain function hypothesis
    Fransson, P
    [J]. HUMAN BRAIN MAPPING, 2005, 26 (01) : 15 - 29
  • [8] Images-based suppression of unwanted global signals in resting-state functional connectivity studies
    Giove, Federico
    Gili, Tommaso
    Iacovella, Vittorio
    Macaluso, Emiliano
    Maraviglia, Bruno
    [J]. MAGNETIC RESONANCE IMAGING, 2009, 27 (08) : 1058 - 1064
  • [9] Glover GH, 2000, MAGNET RESON MED, V44, P162, DOI 10.1002/1522-2594(200007)44:1<162::AID-MRM23>3.0.CO
  • [10] 2-E