Single-trial decoding of movement intentions using functional ultrasound neuroimaging

Norman, Sumner L.; Maresca, David; Christopoulos, Vassilios; Griggs, Whitney; Demené, Charlie; Tanter, Mickaël; Shapiro, Mikhail G.; Andersen, Richard A.

doi:10.1016/j.neuron.2021.03.003

Cited by 63 publications

(48 citation statements)

References 100 publications

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“…The results indicate that functional ultrasound signals measured at frequencies below 0.3 Hz strongly correlate with neural activity. This high signal/noise ratio may explain why fUSI signals can even drive brain-machine interfaces (Norman et al, 2021).…”

Section: Reportmentioning

confidence: 99%

Neural correlates of blood flow measured by ultrasound

Núñez-Elizalde

Krumin

Reddy

et al. 2022

Neuron

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Section: Reportmentioning

confidence: 99%

Neural correlates of blood flow measured by ultrasound

Núñez-Elizalde

Krumin

Reddy

et al. 2022

Neuron

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“…The results indicate that functional ultrasound signals measured at frequencies below 0.3 Hz strongly correlate with neural activity. Indeed, thanks to their high signal/noise ratio, fUSI signals can even drive brain-machine interfaces (Norman et al, 2021).…”

Section: Discussionmentioning

confidence: 99%

Neural correlates of blood flow measured by ultrasound

Núñez-Elizalde

Krumin

et al. 2021

Preprint

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Functional ultrasound imaging (fUSI) is a popular method for studying brain function, but it remains unclear to what degree its signals reflect neural activity on a trial-by-trial basis. Here, we answer this question with simultaneous fUSI and neural recordings with Neuropixels probes in awake mice. fUSI signals strongly correlated with the slow (<0.3 Hz) fluctuations in firing rate measured in the same location and were closely predicted by convolving the firing rate with a 2.9 s wide linear filter. This filter matched the hemodynamic response function of awake mouse and was invariant across mice, stimulus conditions, and brain regions. fUSI signals matched neural firing also spatially: recordings with two probes revealed that firing rates were as highly correlated across hemispheres as fUSI signals. We conclude that fUSI signals bear a simple linear relationship to neuronal firing and accurately reflect neural activity both in time and in space.

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“…The ability to use the same technique in small animals, where a whole network can be visualized, and then upscale these results to NHPs and humans opens a broad range of applications for fUS and network analysis. Indeed, fUS has recently been applied in the decoding of movement intentions which could have a major role in less invasive brain machine interfaces for a wide variety of disorders [22,[60][61][62].…”

Section: Discussionmentioning

confidence: 99%

Functional ultrasound imaging of recent and remote memory recall in the associative fear neural network in mice

Grohs-Metz

Smausz

Gigg

et al. 2021

Preprint

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Scientific AbstractEmotional learning and memory are affected in numerous psychiatric disorders. At a systems level, however, the underlying neural circuitry is not well defined. Rodent fear conditioning (FC) provides a translational model to study the networks underlying associative memory retrieval. In the current study, functional connectivity among regions related to the cue associative fear network were investigated using functional ultrasound (fUS), a novel imaging technique with great potential for detecting regional neural activity through cerebral blood flow. Behavioral fear expression and fUS imaging were performed one and thirty-one days after FC to assess recent and remote memory recall. Cue-evoked increases in functional connectivity were detected throughout the amygdala, with the lateral (LA) and central (CeA) amygdalar nuclei emerging as major hubs of connectivity, though CeA connectivity was reduced during remote recall. The hippocampus and sensory cortical regions displayed heightened connectivity with the LA during remote recall, whereas interconnectivity between the primary auditory cortex and temporal association areas was reduced. Subregions of the prefrontal cortex exhibited variable connectivity changes, where prelimbic connectivity with the amygdala was refined while specific connections between the infralimbic cortex and amygdalar subregions emerged during remote memory retrieval. Moreover, freezing behavior positively correlated with functional connectivity between hubs of the associative fear network, suggesting that emotional response intensity reflected the strength of the cue-evoked functional network. Overall, our data provide evidence of the functionality of fUS imaging to investigate the neural dynamics of memory encoding and retrieval, applicable in the development of innovative treatments for affective disorders.HighlightsFunctional ultrasound imaging can elucidate fear associated neural networksFreezing behavior correlates with cue-evoked functional connectivity changesThe lateral and central amygdalar nuclei are major hubs in the fear networkThe hippocampus is active during recent and remote cued fear memory retrievalConnectivity profiles of the prelimbic and infralimbic areas vary in remote recall

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Single-trial decoding of movement intentions using functional ultrasound neuroimaging

Cited by 63 publications

References 100 publications

Neural correlates of blood flow measured by ultrasound

Neural correlates of blood flow measured by ultrasound

Neural correlates of blood flow measured by ultrasound

Functional ultrasound imaging of recent and remote memory recall in the associative fear neural network in mice

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