School of Medicine, Baylor College of Medicine, Houston, TX, USA.
Department of Computer Science, University of Texas at Austin, Austin, TX, USA.
Philos Trans R Soc Lond B Biol Sci. 2024 Dec 2;379(1915):20230083. doi: 10.1098/rstb.2023.0083. Epub 2024 Oct 21.
This proof-of-concept study uses individualized functional magnetic resonance imaging neuromodulation (iNM) to explore the mechanisms that enhance BOLD signals in visuospatial perception (VP) networks that are crucial for navigation. Healthy participants ( = 8) performed a VP up- and down-direction discrimination task at full and subthreshold coherence through peripheral vision, and superimposed direction through visual imagery (VI) at central space under iNM and control conditions. iNM targets individualized anatomical and functional middle- and medial-superior temporal (MST) networks that control VP. We found that iNM engaged selective exteroceptive and interoceptive attention (SEIA) and motor planning (MP) networks. Specifically, iNM increased overall: (i) area under the curve of the BOLD magnitude: 100% in VP (but decreased for weak coherences), 21-47% in VI, 26-59% in MP and 48-76% in SEIA through encoding; and (ii) classification performance for each direction, coherence and network through decoding, predicting stimuli from brain maps. Our findings, derived from encoding and decoding models, suggest that mechanisms induced by iNM are causally linked in enhancing visuospatial networks and demonstrate iNM as a feasibility treatment for low-vision patients with cortical blindness or visuospatial impairments that precede cognitive decline.This article is part of the theme issue 'Neurofeedback: new territories and neurocognitive mechanisms of endogenous neuromodulation'.
这项概念验证研究使用个体化功能磁共振神经调节（iNM）来探索增强在导航中至关重要的视觉空间感知（VP）网络中的 BOLD 信号的机制。健康参与者（=8）通过外周视觉在全和次阈值相干性下执行 VP 上下方向辨别任务，并在 iNM 和对照条件下在中央空间通过视觉意象（VI）叠加方向。iNM 以个体化解剖和功能中颞（MST）网络为目标，这些网络控制 VP。我们发现 iNM 参与了选择性的外感受和内感受注意（SEIA）和运动规划（MP）网络。具体来说，iNM 总体上增加了：（i）BOLD 幅度的曲线下面积：VP 为 100%（但对于弱相干性则降低），VI 为 21-47%，MP 为 26-59%，SEIA 为 48-76%；（ii）通过解码对每个方向、相干性和网络的分类性能，从脑图预测刺激。我们的发现，源自编码和解码模型，表明 iNM 诱导的机制在增强视觉空间网络方面具有因果关系，并证明 iNM 作为一种治疗皮质盲或视觉空间障碍的可行性治疗方法，这些障碍先于认知能力下降。本文是主题为“神经反馈：内源性神经调节的新领域和神经认知机制”的一部分。
