Cortical Depth-Dependent Temporal Dynamics of the BOLD Response in the Human Brain

Siero, Jeroen C.W.; Petridou, Natalia; Hoogduin, Hans; Luijten, Peter R.; Ramsey, Nick F.

doi:10.1038/jcbfm.2011.57

Cited by 128 publications

(190 citation statements)

References 42 publications

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“…This signal can be detected between 600–800 ms after the stimulus onset which is not enough time for the oxygenated blood to reach venules; thus, the signal is thought to originate primarily from the microvasculature (arterioles/capillaries) 8, 9, 11 . The deep cortical layer onset of hemodynamic response has been detected by two-photon microscopy 12 and similar findings have been reproduced in the human brain by BOLD fMRI 13 . The onset of the fMRI signal detected in layer 4 (L4) of the somatosensory cortex of the rat brain coincides with the major thalamocortical (TC) input 9, 10 , opening the possibility that the BOLD fMRI onset corresponds to the input of neural activity across cortical layers.…”

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confidence: 55%

Deciphering laminar-specific neural inputs with line-scanning fMRI

et al. 2013

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Using a line-scanning method during functional magnetic resonance imaging (fMRI) we obtain high temporal (50 ms) and spatial (50 μm) resolution information along the cortical thickness, and show that the laminar position of fMRI onset coincides with distinct neural inputs t in therat somatosensory and motor cortices. This laminar specific fMRI onset allowed the identification of the neural inputs underlying ipsilateral fMRI activation in the barrel cortex due to peripheral denervation-induced plasticity.

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confidence: 55%

Deciphering laminar-specific neural inputs with line-scanning fMRI

et al. 2013

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“…Another technique that has a potentially higher intrinsic spatial resolution for performing laminar studies is VASO, which has also been successfully implemented at 7T (Huber et al, 2015).The gradient echo approach has been followed with 2D Siero et al, 2011) and 3D EPI (Kok et al, 2016). Simulation has shown that while the spin echo signal should be localised to the layer of origin, the gradient echo signal is largest in this layer but shows a flat tail running to the cortical surface (Markuerkiaga et al, 2016).…”

Section: High Spatial Resolution Including Cortical Columns and Layersmentioning

confidence: 96%

How to choose the right MR sequence for your research question at 7 T and above?

Marques

Norris

2018

NeuroImage

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“…To investigate the nature of these computations, we analyzed cortical depth-dependent changes induced by different tasks. Previous literature has shown that fMRI can detect layer-dependent signal changes using both T 2 *-weighted and T 2 -weighted measurements (25)(26)(27)(28)(29)(30). We analyzed the differential changes induced by the auditory and visual tasks on the frequency population tuning and selectivity.…”

Section: Discussionmentioning

confidence: 99%

Frequency preference and attention effects across cortical depths in the human primary auditory cortex

Martino

Moerel

Uğurbil

et al. 2015

Proc. Natl. Acad. Sci. U.S.A.

172

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Columnar arrangements of neurons with similar preference have been suggested as the fundamental processing units of the cerebral cortex. Within these columnar arrangements, feed-forward information enters at middle cortical layers whereas feedback information arrives at superficial and deep layers. This interplay of feedforward and feedback processing is at the core of perception and behavior. Here we provide in vivo evidence consistent with a columnar organization of the processing of sound frequency in the human auditory cortex. We measure submillimeter functional responses to sound frequency sweeps at high magnetic fields (7 tesla) and show that frequency preference is stable through cortical depth in primary auditory cortex. Furthermore, we demonstrate that-in this highly columnar cortex-task demands sharpen the frequency tuning in superficial cortical layers more than in middle or deep layers. These findings are pivotal to understanding mechanisms of neural information processing and flow during the active perception of sounds.A uditory perception starts in our ears, where hair cells at different places in the cochlea respond to different sound frequencies. The spatially ordered arrangement of neural responses to frequencies (tonotopy) that arises from this transduction mechanism is preserved in subcortical (1, 2) and cortical stages of processing, where neuronal populations form multiple tonotopic maps (3, 4). At the cortical level, tonotopic maps describe systematic changes along the surface. In the orthogonal direction (i.e., perpendicular to the cortical surface), aggregates of neurons with parallel axons have been reported (5, 6). These anatomical observations of cortical microcolumns inspired invasive electrophysiological investigations in cats (7), demonstrating that frequency preference is constant across cortical depth (i.e., frequency columns). Since this early study, frequency columns have been observed in a variety of animals (3,(8)(9)(10), and a columnar organization has been suggested for other acoustic properties (10, 11). Despite this anatomical and physiological evidence from animal models, the role of cortical columns in auditory perception is not understood (6, 12, 13). To unravel intracolumnar computations, it is of fundamental importance to analyze the transformation of information across cortical depths. Differences in cell types and in patterns of input and output projections suggest a distinct role of cortical layers in neural information processing (5). In particular, behavioral demands and ongoing brain states can modulate the functional properties of layer 2/3 neurons, suggesting that supragranular neuronal populations may be of fundamental relevance for the processing of sensory information in a context-dependent manner (14). Recordings in the primary auditory cortex of animals have shown differences across layers in response latency (15, 16), in frequency selectivity (i.e., tuning width) (8, 16), and in the complexity of neuronal preference to acoustic information (i.e., recepti...

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Cortical Depth-Dependent Temporal Dynamics of the BOLD Response in the Human Brain

Cited by 128 publications

References 42 publications

Deciphering laminar-specific neural inputs with line-scanning fMRI

Deciphering laminar-specific neural inputs with line-scanning fMRI

How to choose the right MR sequence for your research question at 7 T and above?

Frequency preference and attention effects across cortical depths in the human primary auditory cortex

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