算法可能会使大脑刺激更加自适应过程

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deep brain stimulation

An algorithm that detects and removes electrical interference produced by deep brain stimulation (DBS) devices could make it possible to design adaptable devices that better treat the tremors related toParkinson’s disease,,,,researchers report.

他们的算法在研究中描述了使用PARM的治疗神经调节期间发现生物标志物:基于周期的伪影重建和去除方法,”发表在期刊上细胞报告方法

DBS是一种神经调节疗法的一种形式,可将电脉冲直接传递到大脑。这可以缓解与帕金森氏和其他神经退行性疾病有关的某些身体症状,包括震颤,僵化和僵硬以及慢性疼痛。它也用于治疗某些精神病症状的症状,例如强迫症(OCD)。

One limitation of current DBS devices is that they cannot simultaneously sense disorder-related brain signals and adapt their stimulation activity accordingly. This capability would enable DBS devices to better identify biomarker signals and to adapt to a user’s needs.

A current device’s stimulation frequency can be adjusted to account for a patient’s evolving condition, but this must be done manually by a doctor.

“We know that there are electrical signals in the brain associated with disease states, and we’d like to be able to record those signals and use them to adjust neuromodulation therapy automatically,” David Borton, PhD, a biomedical engineer at Brown University and the study’s senior author, said in a universitypress release

Borton补充说:“问题在于,刺激会产生电伪像,破坏我们试图记录的信号。”“因此,我们已经开发了一种识别和去除这些工件的方法,因此剩下的就是大脑感兴趣的信号。”

由于DBS设备产生的工件是该设备本身的效果,因此从一种用途到另一种用途的差异相对较小。Borton及其同事随着时间的推移检查了平均伪像信号,并教授其算法,称为基于周期的伪影重建和去除方法(PARRM),以从其检测程序中删除这些信号。

该研究的主要作者Evan Dastin-van Rijn说:“我们基本上取得了沿着神器波形的相似点记录的样本。”“这使我们能够预测这些样本中工件的贡献,然后将其删除。”

研究小组在各种条件下测试了他们的算法。其中包括盐水(盐水很好),计算机模拟,从动物模型中收集的数据集,1,012个神经精神记录的数据集,从两名参加持续的适应性DBS临床研究的OCD患者中获取(NCT03457675), and in data taken from different therapeutic stimulation settings.

在所有情况下,Parrm成功地将信号与跨频率范围的伪影分开。

“I think one big advantage to our method is that even when the signal of interest closely resembles the simulation artifact, our method can still tell the difference between the two,” said Nicole Provenza, a PhD candidate in Borton’s lab and a study co-author. “So that way we’re able to get rid of the artifact while leaving the signal intact.”

研究人员写道,Parrm是一种计算便宜的应用程序,可以使用现有的DBS设备运行,“容易适应几种神经刺激范式”。根据团队的说法,这种实时伪像过滤可能会同时进行记录和刺激。

“That’s the key to an adaptive system,” Borton said. “Being able to get rid of the stimulation artifact while still recording important biomarkers is what will ultimately enable a closed-loop therapeutic system.”

Although the researchers noted that more development is needed before PARRM might be used in a neurostimulation therapy setting, they believe that “artifact removal via PARRM will enable unbiased exploration of neural biomarkers that might have previously been obscured by stimulation artifacts,” they wrote.

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