Review Papers Claim by Claim

• Acoustic focality and steering characterization: the paper reports mm-scale -3 dB focal dimensions and characterizes steering performance across a steering range, including grating lobe suppression metrics and skull-relevant in situ vs free-field behavior. Acoustic performance validation (measurement vs simulation)
• Targeting workflow includes participant-specific skull modeling using low-dose CT and full-wave planning, not just generic head models. Full-wave skull-aware planning
• Online replanning is experimentally motivated (skull-cap validations + reported accuracy thresholds) and is tied to the magnitude of participant shifts. Validated replanning accuracy
• Sham control and an active anatomical control site (MDN) reduce the odds that the observed V1 changes are generic artifacts of powering-on the system or superficial non-specific effects. Sham and MDN control designs
• MR compatibility testing includes both RF noise and temporal interleaving to manage ultrasound-induced MRI artifacts (sparse acquisition to avoid concurrent interference). MRI compatibility and sparse interleaving mitigation

• LGN direct measurement is unlikely because the focus volume is small relative to fMRI voxel size, so the study uses downstream V1 BOLD as a proxy for target engagement. Indirect (V1) engagement readout due to LGN voxel limitation
• BOLD direction flip (online increase vs offline decrease) could reflect genuine excitatory/inhibitory network dynamics, but could also reflect differing physiological states (during vs after stimulation), vascular coupling changes, or analysis timing. The paper acknowledges heterogeneity in TUS theta-burst effects and frames mechanisms as not yet clear. Theta-burst bidirectionality acknowledged as unresolved
• Sample size is small (healthy participants), and statistical power is partly compensated by dense sampling, but generalization remains uncertain. Small N and within-subject dense sampling details
• Auditory/peripheral confounds are reduced but not fully eliminable: the paper includes ramping and sham designs, but ultrasound often can be audible in some contexts, so residual sensory pathways could still influence network activity. The paper reports ramping to reduce auditory cues and uses a sham condition, but does not provide a direct physiological audition-nullification assay in this specific LGN study. Ramp and sham to mitigate auditory cues Auditory mitigation acknowledged; residual risk Safety consensus standards (ITRUSST)

• The paper uses GLM first-level FEAT and mixed-effects (FLAME 1+2) with cluster correction described by a z-threshold and p-threshold in FEAT. FEAT/FLAME GLM and thresholding parameters
• Because they analyze downstream regions, results hinge on accurate registration, normalization, and the assumption that the V1 activation maps reflect target engagement rather than task- or physiological-state differences between active/sham or LGN/MDN conditions. Task-based masking and preprocessing approach

• If future studies fail to replicate LGN-online ipsilateral V1 increases vs sham, or fail to replicate the LGN-offline theta-burst decrease at the reported early time window, then the network-specific interpretation weakens. Core experimental claims to replicate
• If MDN control effects begin to appear with better power, the anatomical specificity claim becomes less certain (possible spread/diffuse effects). Active control (MDN) negative result
• If improved LGN voxel resolution or alternative readouts show that changes in V1 are not systematically coupled to acoustic focusing at LGN, then the causal chain becomes more speculative. Direct LGN readout limitation
• If safety/biophysical modeling standards are revised (e.g., dose-response boundaries for mechanical/thermal indices) and the chosen acoustic parameters are shown to violate safe operational regions, the translational outlook would need revision even if BOLD effects replicate. Safety reporting standard context

Author review deep-dives (bespoke)