Tracking ongoing cognition in individuals using brief, whole-brain functional connectivity patterns

被引:261
作者
Gonzalez-Castillo, Javier [1 ]
Hoy, Colin W. [1 ,2 ]
Handwerker, Daniel A. [1 ]
Robinson, Meghan E. [1 ,3 ]
Buchanan, Laura C. [1 ]
Saad, Ziad S. [4 ]
Bandettini, Peter A. [1 ,5 ]
机构
[1] NIMH, Sect Funct Imaging Methods, Lab Brain & Cognit, NIH, Bethesda, MD 20892 USA
[2] Univ Calif Berkeley, Helen Wills Neurosci Inst, Berkeley, CA 94720 USA
[3] Vet Affairs Boston Healthcare Syst, Boston, MA 02130 USA
[4] NIMH, Stat & Sci Comp Core, NIH, Bethesda, MD 20892 USA
[5] NIMH, Funct MRI Facil, NIH, Bethesda, MD 20892 USA
关键词
fMRI; connectivity dynamics; functional connectivity states; cognitive states; classification; FMRI; STATES; SCALE; ACTIVATION; DYNAMICS; HUMANS; REST;
D O I
10.1073/pnas.1501242112
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Functional connectivity (FC) patterns in functional MRI exhibit dynamic behavior on the scale of seconds, with rich spatiotemporal structure and limited sets of whole-brain, quasi-stable FC configurations (FC states) recurring across time and subjects. Based on previous evidence linking various aspects of cognition to group-level, minute-to-minute FC changes in localized connections, we hypothesized that whole-brain FC states may reflect the global, orchestrated dynamics of cognitive processing on the scale of seconds. To test this hypothesis, subjects were continuously scanned as they engaged in and transitioned between mental states dictated by tasks. FC states computed within windows as short as 22.5 s permitted robust tracking of cognition in single subjects with near perfect accuracy. Accuracy dropped markedly for subjects with the lowest task performance. Spatially restricting FC information decreased accuracy at short time scales, emphasizing the distributed nature of whole-brain FC dynamics, beyond univariate magnitude changes, as valuable markers of cognition.
引用
收藏
页码:8762 / 8767
页数:6
相关论文
共 50 条
[1]   Tracking Whole-Brain Connectivity Dynamics in the Resting State [J].
Allen, Elena A. ;
Damaraju, Eswar ;
Plis, Sergey M. ;
Erhardt, Erik B. ;
Eichele, Tom ;
Calhoun, Vince D. .
CEREBRAL CORTEX, 2014, 24 (03) :663-676
[2]   The conscious access hypothesis: origins and recent evidence [J].
Baars, BJ .
TRENDS IN COGNITIVE SCIENCES, 2002, 6 (01) :47-52
[3]   Robust detection of dynamic community structure in networks [J].
Bassett, Danielle S. ;
Porter, Mason A. ;
Wymbs, Nicholas F. ;
Grafton, Scott T. ;
Carlson, Jean M. ;
Mucha, Peter J. .
CHAOS, 2013, 23 (01)
[4]   Separating respiratory-variation-related neuronal-activity-related fluctuations in fluctuations from fMRI [J].
Birn, RM ;
Diamond, JB ;
Smith, MA ;
Bandettini, PA .
NEUROIMAGE, 2006, 31 (04) :1536-1548
[5]   BOLD correlates of EEG topography reveal rapid resting-state network dynamics [J].
Britz, Juliane ;
Van De Ville, Dimitri ;
Michel, Christoph M. .
NEUROIMAGE, 2010, 52 (04) :1162-1170
[6]   The Chronnectome: Time-Varying Connectivity Networks as the Next Frontier in fMRI Data Discovery [J].
Calhoun, Vince D. ;
Miller, Robyn ;
Pearlson, Godfrey ;
Adali, Tulay .
NEURON, 2014, 84 (02) :262-274
[7]   Clinical applications of the functional connectome [J].
Castellanos, F. Xavier ;
Di Martino, Adriana ;
Craddock, R. Cameron ;
Mehta, Ashesh D. ;
Milham, Michael P. .
NEUROIMAGE, 2013, 80 :527-540
[8]   EEG correlates of time-varying BOLD functional connectivity [J].
Chang, Catie ;
Liu, Zhongming ;
Chen, Michael C. ;
Liu, Xiao ;
Duyn, Jeff H. .
NEUROIMAGE, 2013, 72 :227-236
[9]   Influence of heart rate on the BOLD signal: The cardiac response function [J].
Chang, Catie ;
Cunningham, John P. ;
Glover, Gary H. .
NEUROIMAGE, 2009, 44 (03) :857-869
[10]  
Chang C, 2010, FILM COMMENT, V46, P81