Back

Functional ultrasound imaging through a human cranial window for mesoscopic mapping of motor effector encoding within the sensorimotor cortex

Lin, L. J.; Callier, T.; Heiles, B.; Pejsa, K.; Liu, C. Y.; Shapiro, M. G.; Andersen, R. A.

2026-07-09 neuroscience
10.64898/2026.07.03.735688 bioRxiv
Show abstract

Understanding movement encoding within human cortical circuits has been essential for advancing brain computer interfaces (BCIs). However, there are limited minimally invasive, high resolution neurorecording methods sensitive enough to detect single-trial movement-correlated neural activity. Functional ultrasound imaging (fUSI) provides submillimeter spatial resolution of deep cortical tissue with high sensitivity and, when paired with acoustically transparent skull implants, enables transcutaneous recording of human neurovascular changes. Prior studies have used fUSI in participants with acoustically transparent skull implants for on-off task mapping and decoding. Here, we demonstrate fUSI's ability to reliably resolve multi-body-part and single digit movement encoding within the primary sensorimotor cortex in a participant with an acoustically transparent skull implant. We obtained fine-grained mappings of individual effector representation that were consistent with classic somatotopy for both multi-body-part and single digit movement. We were able to resolve single-trial event-related activity, enabling single-trial decoding of both conditions. Analysis of voxels important for decoding suggested differential encoding of single digit movement information across the different Brodmann areas. Finally, we show that these patterns can be approximated across different sessions, allowing for cross session decoding. These results establish that fUSI can reliably delineate somatotopically organized motor representations at submillimeter resolution, bridging a critical gap between invasive electrophysiology and noninvasive hemodynamic imaging in a human subject.

Matching journals

The top 5 journals account for 50% of the predicted probability mass.

1
Imaging Neuroscience
282 papers in training set
Top 0.2%
17.9%
2
Scientific Reports
3612 papers in training set
Top 2%
14.6%
3
Journal of Neural Engineering
221 papers in training set
Top 0.4%
9.4%
4
Nature Communications
5641 papers in training set
Top 23%
7.0%
5
Brain Stimulation
125 papers in training set
Top 0.3%
6.0%
50% of probability mass above
6
NeuroImage
903 papers in training set
Top 3%
5.3%
7
eLife
5828 papers in training set
Top 28%
4.2%
8
Science Advances
1243 papers in training set
Top 14%
2.6%
9
Journal of Neuroscience Methods
122 papers in training set
Top 0.9%
2.0%
10
Journal of Neurophysiology
302 papers in training set
Top 2%
2.0%
11
Frontiers in Neuroscience
256 papers in training set
Top 3%
1.8%
12
PLOS ONE
5266 papers in training set
Top 47%
1.8%
13
Proceedings of the National Academy of Sciences
2444 papers in training set
Top 29%
1.7%
14
Human Brain Mapping
329 papers in training set
Top 3%
1.7%
15
Neurophotonics
42 papers in training set
Top 0.3%
1.7%
16
IEEE Transactions on Biomedical Engineering
40 papers in training set
Top 0.6%
1.6%
17
eneuro
439 papers in training set
Top 5%
1.6%
18
Biomedical Optics Express
95 papers in training set
Top 0.7%
1.4%
19
Advanced Science
286 papers in training set
Top 8%
1.0%
20
IEEE Transactions on Medical Imaging
21 papers in training set
Top 0.4%
1.0%
21
PLOS Biology
486 papers in training set
Top 13%
0.8%
22
Cell Reports
1498 papers in training set
Top 28%
0.8%
23
Nature Neuroscience
252 papers in training set
Top 5%
0.8%
24
Communications Biology
993 papers in training set
Top 33%
0.8%
25
Neuron
337 papers in training set
Top 5%
0.8%
26
NeuroImage: Clinical
144 papers in training set
Top 3%
0.6%
27
The Journal of Neuroscience
1025 papers in training set
Top 11%
0.6%