Laminar recordings in frontal cortex suggest distinct layers for maintenance and control of working memory

被引:187
作者
Bastos, Andre M. [1 ,2 ]
Loonis, Roman [1 ,2 ]
Kornblith, Simon [1 ,2 ]
Lundqvist, Mikael [1 ,2 ]
Miller, Earl K. [1 ,2 ]
机构
[1] MIT, Picower Inst Learning & Memory, Cambridge, MA 02139 USA
[2] MIT, Dept Brain & Cognit Sci, E25-618, Cambridge, MA 02139 USA
关键词
cortical layers; oscillations; working memory; frontal cortex; MONKEY VISUAL-CORTEX; PREFRONTAL CORTEX; MEDIODORSAL NUCLEUS; ALPHA-OSCILLATIONS; NEURONAL-ACTIVITY; AUDITORY-CORTEX; GAMMA-POWER; FEEDFORWARD; INFORMATION; FREQUENCY;
D O I
10.1073/pnas.1710323115
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
All of the cerebral cortex has some degree of laminar organization. These different layers are composed of neurons with distinct connectivity patterns, embryonic origins, and molecular profiles. There are little data on the laminar specificity of cognitive functions in the frontal cortex, however. We recorded neuronal spiking/local field potentials (LFPs) using laminar probes in the frontal cortex (PMd, 8A, 8B, SMA/ACC, DLPFC, and VLPFC) of monkeys performing working memory (WM) tasks. LFP power in the gamma band (50-250 Hz) was strongest in superficial layers, and LFP power in the alpha/beta band (4-22 Hz) was strongest in deep layers. Memory delay activity, including spiking and stimulus-specific gamma bursting, was predominately in superficial layers. LFPs from superficial and deep layers were synchronized in the alpha/beta bands. This was primarily unidirectional, with alpha/beta bands in deep layers driving superficial layer activity. The phase of deep layer alpha/beta modulated superficial gamma bursting associated with WM encoding. Thus, alpha/beta rhythms in deep layers may regulate the superficial layer gamma bands and hence maintenance of the contents of WM.
引用
收藏
页码:1117 / 1122
页数:6
相关论文
共 36 条
[11]   Microcircuitry of Agranular Frontal Cortex: Testing the Generality of the Canonical Cortical Microcircuit [J].
Godlove, David C. ;
Maier, Alexander ;
Woodman, Geoffrey F. ;
Schall, Jeffrey D. .
JOURNAL OF NEUROSCIENCE, 2014, 34 (15) :5355-5369
[12]   Regional and cellular fractionation of working memory [J].
GoldmanRakic, PS .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 1996, 93 (24) :13473-13480
[13]   α-Oscillations in the monkey sensorimotor network influence discrimination performance by rhythmical inhibition of neuronal spiking [J].
Haegens, Saskia ;
Nacher, Veronica ;
Luna, Rogelio ;
Romo, Ranulfo ;
Jensen, Ole .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2011, 108 (48) :19377-19382
[14]   Shaping functional architecture by oscillatory alpha activity: gating by inhibition [J].
Jensen, Ole ;
Mazaheri, Ali .
FRONTIERS IN HUMAN NEUROSCIENCE, 2010, 4
[15]   Cortical feed-forward networks for binding different streams of sensory information [J].
Kampa, Bjorn M. ;
Letzkus, Johannes J. ;
Stuart, Greg J. .
NATURE NEUROSCIENCE, 2006, 9 (12) :1472-1473
[16]   An oscillatory hierarchy controlling neuronal excitability and stimulus processing in the auditory cortex [J].
Lakatos, P ;
Shah, AS ;
Knuth, KH ;
Ulbert, I ;
Karmos, G ;
Schroeder, CE .
JOURNAL OF NEUROPHYSIOLOGY, 2005, 94 (03) :1904-1911
[17]   Pyramidal Neurons Are Not Generalizable Building Blocks of Cortical Networks [J].
Luebke, Jennifer I. .
FRONTIERS IN NEUROANATOMY, 2017, 11
[18]   Gamma and Beta Bursts Underlie Working Memory [J].
Lundqvist, Mikael ;
Rose, Jonas ;
Herman, Pawel ;
Brincat, Scott L. ;
Buschman, Timothy J. ;
Miller, Earl K. .
NEURON, 2016, 90 (01) :152-164
[19]   Theta and Gamma Power Increases and Alpha/Beta Power Decreases with Memory Load in an Attractor Network Model [J].
Lundqvist, Mikael ;
Herman, Pawel ;
Lansner, Anders .
JOURNAL OF COGNITIVE NEUROSCIENCE, 2011, 23 (10) :3008-3020
[20]   Distinct laminar domains of activity in the visual cortex during rest and stimulation [J].
Maier, Alexander ;
Adams, Geoffrey K. ;
Aura, Christopher ;
Leopold, David A. .
FRONTIERS IN SYSTEMS NEUROSCIENCE, 2010, 4