Brain Implant That Could Boost Mood By Using Ultrasound To Go Under NHS Trial

An anonymous reader quotes a report from The Guardian: A groundbreaking NHS trial will attempt to boost patients' mood using a brain-computer-interface that directly alters brain activity using ultrasound. The device, which is designed to be implanted beneath the skull but outside the brain, maps activity and delivers targeted pulses of ultrasound to "switch on" clusters of neurons. Its safety and tolerability will be tested on about 30 patient in the 6.5 million-pound trial, funded by the UK's Advanced Research and Invention Agency (Aria).

[...] The latest trial will test a device developed by the US-based non-profit Forest Neurotech. In contrast to invasive implants, in which electrodes are inserted into a specific location in the brain, Forest 1 uses ultrasound to read-out and modify activity. Aria describes the device as "the most advanced BCI in the world" due to its ability to modify activity across multiple regions simultaneously. This widens potential future applications to a huge patient population affected by conditions such as depression, anxiety and epilepsy, which are all "circuit level" conditions rather than being localized in a specific brain region.

The NHS trial will recruit patients who, due to brain injury, have had part of their skull temporarily removed to relieve a critical buildup of pressure in the brain. This means the device can be tested without having to perform surgery. When placed beneath the skull, or in individuals with a skull defect, ultrasound can detect tiny changes in blood flow to produce 3D maps of brain activity with a spatial resolution of about 100 times that of a typical fMRI scan. The same implant can deliver focused ultrasound to mechanically nudge neurons towards firing, providing a way to remotely dial activity up at precise locations. Participants will wear the device on their scalp at the site of the skull defect for two hours. Their brain activity will be measured and researchers will test whether patients' mood and feelings of motivation can be reliably altered.

There are safety considerations, as ultrasound can cause tissue to heat up. Prof Elsa Fouragnan, a neuroscientist at the University of Plymouth, which is collaborating on the project, said: "What we're trying to minimize is heat. There's a safety and efficacy trade-off." She added that it would also be important to ensure that personality or decision-making were not altered in unintended ways -- for instance, making someone more impulsive. The study will run for three and a half years starting from March, with the first eight months focused on securing regulatory approval. If successful, Forest hopes to move into a full clinical trial for a condition such as depression. Aimun Jamjoom, a consultant neurosurgeon at the Barking, Havering and Redbridge university hospitals NHS trust, who is leading the project, said: "[T]he ability to offer a safer form of surgery is very exciting. If you look at conditions like depression or epilepsy, [up to] a third of these patients just don't get better. It's those groups where a technology like this could be a life-changing solution."

Read more of this story at Slashdot.

nmap -sV --script vuln -p- <target-network>

tail -f /var/log/suricata/fast.log | grep <cve>

Check Vendor Security Advisory Bulletin

title: Detect Exploitation - Brain Implant That Could Boost Mood By Using Ultrasound To Go Under NHS Trial
id: 026f9815-24e0-4ab8-a03e-8c8cfdb025d6
status: experimental
description: Automatisch generierte SIEM-Erkennungsregel basierend auf CTI Intelligence
references:
  - https://tsecurity.de/
author: iShareStuff CTI Automated Detection Engine
date: 2026-09-26
logsource:
  category: network_connection
  product: any
detection:
  selection:
      CommandLine|contains:
        - 'exploit'
  condition: selection
falsepositives:
  - Legitime administrative Zugriffe oder Penetrationstests
level: high
tags:
  - attack.initial_access

rule CTI_Threat_Indicator {
    meta:
        author = "iShareStuff CTI Automated Detection Engine"
        date = "2026-09-26"
        description = "YARA Signature for "
    strings:
        $str = "Brain Implant That Could Boost" ascii wide
    condition:
        any of them
}

index=security sourcetype IN ("cisco:asa", "pan:traffic", "zeek_conn", "suricata", "WinEventLog:Security")
("Brain Implant That Could Boost Mood By U")
| stats count earliest(_time) as first_seen latest(_time) as last_seen by src_ip, dest_ip, dest_host, signature
| eval first_seen=strftime(first_seen, "%Y-%m-%d %H:%M:%S"), last_seen=strftime(last_seen, "%Y-%m-%d %H:%M:%S")
| sort - count

message: "*Brain Implant That Could Boost Mood By U*"

CommonSecurityLog
| where Message has "Brain Implant That Could Boost Mood By U"
| summarize EventCount = count(), FirstSeen = min(TimeGenerated), LastSeen = max(TimeGenerated) by SourceIP, DestinationIP, DestinationPort, Activity
| extend DetectionRule = "iShareStuff-CTI-Compiled"
| sort by EventCount desc