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J Neurosci. 2017 Oct 4;37(40):9667-9674. doi: 10.1523/JNEUROSCI.1574-17.2017. Epub 2017 Sep 11.

Distinct Patterns of Temporal and Directional Connectivity among Intrinsic Networks in the Human Brain.

Author information

1
Laboratory of Behavioral and Cognitive Neuroscience, Stanford Human Intracranial Cognitive Electrophysiology Program, Department of Neurology and Neurological Sciences, Stanford University, Stanford, California 94301.
2
Department of Psychology, Stanford University, Stanford, California 94301.
3
Central Clinical School, The University of Sydney, Sydney, 2050 New South Wales, Australia.
4
Department of Neurosurgery, Baylor College of Medicine, Texas 77030.
5
Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Charlestown, Massachusetts 02114.
6
Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts 02114.
7
Center for Neuroscience, University of California, Davis, California 63110, and.
8
Neuroscience PhD Program, Washington University, St. Louis, Missouri 63130.
9
Laboratory of Behavioral and Cognitive Neuroscience, Stanford Human Intracranial Cognitive Electrophysiology Program, Department of Neurology and Neurological Sciences, Stanford University, Stanford, California 94301, parvizi@stanford.edu.

Abstract

To determine the spatiotemporal relationships among intrinsic networks of the human brain, we recruited seven neurosurgical patients (four males and three females) who were implanted with intracranial depth electrodes. We first identified canonical resting-state networks at the individual subject level using an iterative matching procedure on each subject's resting-state fMRI data. We then introduced single electrical pulses to fMRI pre-identified nodes of the default network (DN), frontoparietal network (FPN), and salience network (SN) while recording evoked responses in other recording sites within the same networks. We found bidirectional signal flow across the three networks, albeit with distinct patterns of evoked responses within different time windows. We used a data-driven clustering approach to show that stimulation of the FPN and SN evoked a rapid (<70 ms) response that was predominantly higher within the SN sites, whereas stimulation of the DN led to sustained responses in later time windows (85-200 ms). Stimulations in the medial temporal lobe components of the DN evoked relatively late effects (>130 ms) in other nodes of the DN, as well as FPN and SN. Our results provide temporal information about the patterns of signal flow between intrinsic networks that provide insights into the spatiotemporal dynamics that are likely to constrain the architecture of the brain networks supporting human cognition and behavior.SIGNIFICANCE STATEMENT Despite great progress in the functional neuroimaging of the human brain, we still do not know the precise set of rules that define the patterns of temporal organization between large-scale networks of the brain. In this study, we stimulated and then recorded electrical evoked potentials within and between three large-scale networks of the brain, the default network (DN), frontoparietal network (FPN), and salience network (SN), in seven subjects undergoing invasive neurosurgery. Using a data-driven clustering approach, we observed distinct temporal and directional patterns between the three networks, with FPN and SN activity predominant in early windows and DN stimulation affecting the network in later windows. These results provide important temporal information about the interactions between brain networks supporting human cognition and behavior.

KEYWORDS:

default network; electrical evoked potentials; frontoparietal network; intracranial EEG; salience network

PMID:
28893929
DOI:
10.1523/JNEUROSCI.1574-17.2017
[Indexed for MEDLINE]
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