Individualized functional magnetic resonance imaging neuromodulation enhances visuospatial perception: a proof-of-concept study.

IF 5.4 2区 生物学 Q1 BIOLOGY
Anthony Allam, Vincent Allam, Sandy Reddy, Eric M Rohren, Sameer A Sheth, Emmanouil Froudarakis, T Dorina Papageorgiou
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引用次数: 0

Abstract

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 (n = 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'.

个性化功能磁共振成像神经调节增强视觉空间感知:概念验证研究。
这项概念验证研究利用个性化功能磁共振成像神经调控(iNM)来探索增强对导航至关重要的视觉空间感知(VP)网络中BOLD信号的机制。在 iNM 和对照条件下,健康参与者(n = 8)通过外围视觉在全阈值和亚阈值相干条件下执行视觉空间感知上下方向辨别任务,并通过视觉意象(VI)在中心空间叠加方向。我们发现 iNM 参与了选择性外部感觉和内部感觉注意 (SEIA) 和运动规划 (MP) 网络。具体来说,iNM 增加了以下方面的整体效果:(i) BOLD 幅值曲线下的面积:通过编码,VP 增加了 100%(但弱连贯性会减少),VI 增加了 21-47%,MP 增加了 26-59%,SEIA 增加了 48-76%;(ii) 通过解码,从脑图中预测刺激,提高了每个方向、连贯性和网络的分类性能。我们从编码和解码模型中得出的研究结果表明,iNM 诱导的机制在增强视觉空间网络方面存在因果联系,并证明 iNM 是治疗低视力患者皮质盲症或认知能力下降前视觉空间障碍的一种可行方法。
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来源期刊
CiteScore
11.80
自引率
1.60%
发文量
365
审稿时长
3 months
期刊介绍: The journal publishes topics across the life sciences. As long as the core subject lies within the biological sciences, some issues may also include content crossing into other areas such as the physical sciences, social sciences, biophysics, policy, economics etc. Issues generally sit within four broad areas (although many issues sit across these areas): Organismal, environmental and evolutionary biology Neuroscience and cognition Cellular, molecular and developmental biology Health and disease.
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