Chronic brain functional ultrasound imaging in freely moving rodents performing cognitive tasks

被引:1
|
作者
El Hady, Ahmed [1 ,7 ,8 ]
Takahashi, Daniel [6 ]
Sun, Ruolan [4 ]
Akinwale, Oluwateniola [4 ]
Boyd-Meredith, Tyler [1 ]
Zhang, Yisi [1 ]
Charles, Adam S. [4 ,5 ]
Brody, Carlos D. [1 ,2 ,3 ]
机构
[1] Princeton Univ, Princeton Neurosci Inst, Princeton, NJ USA
[2] Princeton Univ, Howard Hughes Med Inst, Princeton, NJ USA
[3] Princeton Univ, Dept Mol Biol, Princeton, NJ USA
[4] Johns Hopkins Univ, Dept Biomed Engn, Baltimore, MD 21218 USA
[5] Johns Hopkins Univ, Math Inst Data Sci, Kavli Neurosci Discovery Inst & Ctr Imaging Sci, Baltimore, MD USA
[6] Univ Fed Rio Grande do Norte, Brain Inst, Natal, Brazil
[7] Univ Konstanz, Ctr Adv Study Collect Behav, Constance, Germany
[8] Max Planck Inst Anim Behav, Constance, Germany
关键词
Functional ultrasound imaging; Motion correction; Experimental design; Image processing; Decision making; RIGID MOTION; RATS; ALGORITHM; FMRI; NEUROSCIENCE; DECISION; BEHAVIOR; DRIVEN; CORTEX; VOLUME;
D O I
10.1016/j.jneumeth.2023.110033
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Background: Functional ultrasound imaging (fUS) is an emerging imaging technique that indirectly measures neural activity via changes in blood volume. Chronic fUS imaging during cognitive tasks in freely moving animals faces multiple exceptional challenges: performing large durable craniotomies with chronic implants, designing behavioral experiments matching the hemodynamic timescale, stabilizing the ultrasound probe during freely moving behavior, accurately assessing motion artifacts, and validating that the animal can perform cognitive tasks while tethered. New method: We provide validated solutions for those technical challenges. In addition, we present standardized step-by-step reproducible protocols, procedures, and data processing pipelines. Finally, we present proof -of -concept analysis of brain dynamics during a decision making task. Results: We obtain stable recordings from which we can robustly decode task variables from fUS data over multiple months. Moreover, we find that brain wide imaging through hemodynamic response is nonlinearly related to cognitive variables, such as task difficulty, as compared to sensory responses previously explored. Comparison with existing methods: Computational pipelines in fUS are nascent and we present an initial development of a full processing pathway to correct and segment fUS data. Conclusions: Our methods provide stable imaging and analysis of behavior with fUS that will enable new experimental paradigms in understanding brain -wide dynamics in naturalistic behaviors.
引用
收藏
页数:17
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