Laboratory for Higher Cognitive Functions

Research

Research goal:

The research goal of our laboratory is to understand the neural mechanisms underlying higher cognitive functions, including object recognition, attention, working memory, and long-term memory, in the primate cerebral cortex. Cortical areas involved in vision are organized hierarchically, and each has a functionally modular structure (functional domains or columns). In contrast to earlier visual areas (V1 and V2), the functional organization of higher visual and association areas have been less well studied, even though they play important roles in higher cognitive brain functions. We are studying the functional and anatomical organization of higher visual areas from area V4 to the area TE in the ventral visual processing stream, which is important for object recognition, and the prefrontal cortex (PFC), which mediates cognitive and executive controls. The work is conducted in macaque monkeys using a variety of research techniques including Intrinsic Signal Optical Imaging, Electrocorticography (ECoG), Multi-electrode array (MEA) recoding, and Neuronal tracing.


Research techniques:

(1) Intrinsic Signal Optical Imaging (ISOI)

   ISOI is one of the key technique in our lab. ISOI can visualize cortical hemodynamics related to neural activity changes at columnar resolution (~50 micrometers) in the exposed cortex by measuring changes in the intensity of light reflected from the cortical surface under illumination with certain wavelength. We have used this technique and successfully revealed the functional organization in macaque visual cortices [1-4]. Because this technique is accompanied with exposing the cortical surface, it has good compatibility with the other invasive research techniques used in this project, such as ECoG and MEA recordings, and neuronal tracing.

(2) Electrocorticography (ECoG)

   Electrocorticography (ECoG), that enables recording local field potentials (LFPs) from the cortical brain surface, has long been an indispensable tool for the evaluation of epileptic foci in human patients. With advances in high-channel-count data acquisition and mathematical tools for analyzing high-dimensional data, ECoG has become an important tool for investigating brain functions, particularly neuronal oscillatory activity, and recognized as a promising technology for brain-machine interface (BMI). Using this technique, we have revealed the functional organization and its plasticity for long-term memory in the macaque medial temporal lobe (MTL) [5].

(3) Multi-electrode array (MEA) recoding

   A typical MEA consists of multiple penetrating electrodes for recording and stimulating at brain sites. After ISOI and ECoG recording sessions, we plan to penetrate several MEAs into the cortex to examine neuronal properties of the functional organization at a single-cell level. 

(4) Neuronal tracing

   Neuronal tracing is a technique for anatomically visualizing neural connections in the postmortem brain tissue. Usually, neuronal tracers are injected into the brain of living animals, taken up by neurons, and transported through axons. Anterograde tracers are transported from cell bodies to axon terminals, and retrograde tracers are transported from axon terminals to cell bodies. After a certain period, the animals are perfused with a fixative solution, and brain sections are cut and processed for histological procedures to visualize the distribution of transported tracers. We have studied the anatomical intrinsic network in the inferior temporal cortex (ITC) by using neuronal tracers [6-8].


We are currently seeking postdoctoral fellows!


Publications (Lab members in bold):

† ... These authors contributed equally, * ... Corresponding author

  • Zhou T, Kawasaki K, Suzuki T, Hasegawa I, Roe AW*, Tanigawa H* (2023) Mapping information flow between the inferotemporal and prefrontal cortices via neural oscillations in memory retrieval and maintenance. Cell Reports 42:113169. [Link]

  • Du XJiang X, Kuriki I, Takahata T, Zhou T, Roe AW*, Tanigawa H*. (2022) Representation of cone-opponent color space in macaque early visual cortices. Frontiers in Neuroscience. 16:891247. [Link] [文章被研究所报道]

  • Tanigawa H, ..., Hasegawa I* (2022) Decoding distributed oscillatory signals driven by memory and perception in the prefrontal cortex. Cell Reports 39:110676. [Link] [文章被BrainNews报道]

  • Hu JM, Qian MZ, Tanigawa H, Song XM, Roe AW* (2020) Focal electrical stimulation of cortical functional networks. Cerebral Cortex. 30:5532–5543. [Link]

  • Wang QTanigawa H, Fujita I* (2017) Postnatal development of intrinsic horizontal axons in macaque inferior temporal and primary visual cortices. Cerebral Cortex. 27:2708–2726. [Link]

  • Chen G, Lu HD, Tanigawa H, Roe AW (2017) Solving visual correspondence between the two eyes via domain-based population encoding in nonhuman primates. Proc Natl Acad Sci USA. 114:13024–13029. [Link]

  • Tanigawa H, Chen G, Roe AW (2016) Spatial distribution of attentional modulation at columnar resolution in macaque area V4. Frontiers in Neural Circuits. 10:1–13. [Link]

  • Nakahara K, ..., Tanigawa H, ..., Hasegawa I (2016) Associative-memory representations emerge as shared spatial patterns of theta activity spanning the primate temporal cortex. Nature Communications. 7:11827:1–9. [Link]

  • Tanigawa H*, Lu HD, Roe AW* (2010) Functional organization for color and orientation in macaque V4. Nature Neuroscience. 13:1542–1548. [Link]

  • Lu HD, Chen G, Tanigawa H, Roe AW (2010) A Motion Direction Map in Macaque V2. Neuron. 68:1002–1013. [Link]

  • Tanigawa H, Wang Q, Fujita I (2005) Organization of horizontal axons in the inferior temporal cortex and primary visual cortex of the macaque monkey. Cerebral Cortex. 15:1887–1899. [Link]

  • Tanigawa H, Fujita I, Kato M, Ojima H (1998) Distribution, morphology, and gamma-aminobutyric acid immunoreactivity of horizontally projecting neurons in the macaque inferior temporal cortex. Journal of Comparative Neurology. 401:129–143. [Link]


Conferences:

  • Hu D, Li HQ, Takahata T, Tanigawa H, "Organization of ipsilateral and contralateral connections within the macaque ventrolateral prefrontal cortex", The 16th Annual meeting of the Chinese Neuroscience Society, Zhuhai, China, Jul 2023 (Poster) 

  • Li CTanigawa H, "Frequency and Spatio-Temporal Specificity of Color and Shape Representation via Neural Oscillation Patterns in Macaque Inferotemporal and Prefrontal Cortices", The 16th Annual meeting of the Chinese Neuroscience Society, Zhuhai, China, Jul 2023 (Poster) 

  • Zhou TXia X, Kawasaki K, Hasegawa I, Tanigawa H, “Memory recall-related information flow between the inferotemporal and prefrontal cortices through neural oscillations”, The Annual meeting of Society for Neuroscience, San Diego, US, Nov 2022 (Poster) 

  • Hu D, Tanigawa H  (2022) Relationship between horizontal connections and functional structure in macaque anterior inferotemporal cortex. The 15th Annual meeting of the Chinese Neuroscience Society, Suzhou, China, Sep 2022 (Poster) 

  • Xia X, Zhou T, Kawasaki K, Hasegawa I, Tanigawa H, “Frequency-specific patterns of communications between the inferotemporal and prefrontal cortices during memory recall”, The 15th Annual meeting of the Chinese Neuroscience Society, Suzhou, China, Sep 2022 (Poster) 

  • Zhou T, Hasegawa I, Tanigawa H, “Directional functional connectivity through neural oscillation between macaque inferotemporal and prefrontal cortices during object perception”, The 14th Annual meeting of the Chinese Neuroscience Society, Chongqing, China, Sep 2021 (Poster) 

  • Tanigawa H, “Spatial distribution of hue selectivity in DKL color space in macaque early visual cortex”, The 42nd Annual Meeting of the Japan Neuroscience Society, Niigata, Japan, July 2019 (Invited talk)

  • Du X, Kuriki I, Jiang XZhou TTanigawa H, “Hue maps of the DKL color space at columnar resolution in the early visual cortex of macaques”, The 15th Asia-Pacific Conference on Vision, Osaka, Japan, July 2019 (Poster) 

  • Tanigawa H et al., “Decoding recalled color imagery using ECoG signals in the macaque prefrontal cortex”, The 14th Asia-Pacific Conference on Vision, Hangzhou, China, July 2018  (Poster)


Grants:

  • 变革性技术关键科学问题重点专项 项目名称 “脑机融合的脑信息认知关键技术研究” , 2019.01-2024.12, 参加

  • 国家自然科学基金(NSFC)面上项目 "猕猴前额叶皮层中与工作记忆和注意相关的功能结构及其可塑性研究", 2019.01-2022.12, 主持

  • 中央高校基本科研业务费专项资金 "The relationship between neuronal oscillatory activity and functional columnar organization in macaque monkey visual cortex", 2018.01-2019.12, 主持


Group photo:

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ZhouTao received her phd's degree in 2023.

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XiaXing passed the final defense for her master's degree in 2023.

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JiangXinrui received her master's degree in 2021.

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Lab members







Name
Position

Period

Contact

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Hisashi Tanigawa


Associate
professor


2017.5~


hisashi@zju.edu.cn

1679579207124138.jpg

Tao Zhou


PhD student
(Medical School,
co-supervised)


2018.9~


taozzhou@zju.edu.cn

1679579408488884.jpg

Dan-Ling Hu


PhD student
(BME)


2019.9~


hudanling@zju.edu.cn

1679579503312496.jpg

Chengpeng Li


PhD student
(BME)


2020.9~


chengpengli@zju.edu.cn

1679579717169975.jpg

Zeng Pan


Master's student
(BME,
co-supervised)


2022.9~


22215053@zju.edu.cn

1694830028983018.jpgHangqi Li
PhD student
(BME)

2023.7~
11815014@zju.edu.cn

1679579830108095.jpeg

Yanyan Ding


Research
assistant


2020.9~


vicky1993@zju.edu.cn









Alumni






1679548167179270.jpeg

Xia Xing


Master's student

(BME)



2020.9~2023.3


Boston Scientific

1679580125871996.jpg

Xiao Du


PhD student
(Medical School,
co-supervised)


2018.6~2022.6


浙江浙大启真创业投资有限公司
1679580002805468.jpg

Xinrui Jiang


Master's student
(BME)


2018.9~2021.6


PhD student (University of Tübingen, Germany)

1679580188482945.jpg

Lili Lai


Research
assistant


2017.7~2020.8

1679580392177721.jpg

Jiexun Liu

Master's student
(BME)


2017.10~2019.6
Huawei