SiNAPS: An implantable active pixel sensor CMOS-probe for simultaneous large-scale neural recordings

被引:113
作者
Angotzi, Gian Nicola [1 ]
Boi, Fabio [1 ]
Lecomte, Aziliz [1 ]
Miele, Ermanno [1 ]
Malerba, Mario [1 ]
Zucca, Stefano [2 ]
Casile, Antonino [3 ]
Berdondini, Luca [1 ]
机构
[1] Fdn Ist Italian Tecnol IIT, NetS3 Lab, Genoa, Italy
[2] Fdn Ist Italian Tecnol IIT, Opt Approaches Brain Funct Lab, Genoa, Italy
[3] Fdn Ist Italian Tecnol IIT, CTNSC UniFe, Ferrara, Italy
基金
美国国家卫生研究院;
关键词
CMOS-probe; Multi-electrode-array; Active pixel sensor; Implantable device; Neural recording; HIGH-DENSITY; NEURONS; ARRAY;
D O I
10.1016/j.bios.2018.10.032
中图分类号
Q6 [生物物理学];
学科分类号
071011 ;
摘要
Large-scale neural recordings with high spatial and temporal accuracy are instrumental to understand how the brain works. To this end, it is of key importance to develop probes that can be conveniently scaled up to a high number of recording channels. Despite recent achievements in complementary metal-oxide semiconductor (CMOS) multi-electrode arrays probes, in current circuit architectures an increase in the number of simultaneously recording channels would significantly increase the total chip area. A promising approach for overcoming this scaling issue consists in the use of the modular Active Pixel Sensor (APS) concept, in which a small front-end circuit is located beneath each electrode. However, this approach imposes challenging constraints on the area of the in-pixel circuit, power consumption and noise. Here, we present an APS CMOS-probe technology for Simultaneous Neural recording that successfully addresses all these issues for whole-array read-outs at 25 kHz/channel from up to 1024 electrode-pixels. To assess the circuit performances, we realized in a 0.18 mu m CMOS technology an implantable single-shaft probe with a regular array of 512 electrode-pixels with a pitch of 28 mu m. Extensive bench tests showed an in-pixel gain of 45.4 +/- 0.4 dB (low pass, F-3 db = 4 kHz), an input referred noise of 73 +/- 0.67 mu V-RMS (300 Hz to 7.5 kHz) and a power consumption < 6 mu W/pixel. In vivo acute recordings demonstrate that our SiNAPS CMOS-probe can sample full-band bioelectrical signals from each electrode, with the ability to resolve and discriminate activity from several packed neurons both at the spatial and temporal scale. These results pave the way to new generations of compact and scalable active single/multi-shaft brain recording systems.
引用
收藏
页码:355 / 364
页数:10
相关论文
共 44 条
[1]   Nanotools for Neuroscience and Brain Activity Mapping [J].
Alivisatos, A. Paul ;
Andrews, Anne M. ;
Boyden, Edward S. ;
Chun, Miyoung ;
Church, George M. ;
Deisseroth, Karl ;
Donoghue, John P. ;
Fraser, Scott E. ;
Lippincott-Schwartz, Jennifer ;
Looger, Loren L. ;
Masmanidis, Sotiris ;
McEuen, Paul L. ;
Nurmikko, Arto V. ;
Park, Hongkun ;
Peterka, Darcy S. ;
Reid, Clay ;
Roukes, Michael L. ;
Scherer, Axel ;
Schnitzer, Mark ;
Sejnowski, Terrence J. ;
Shepard, Kenneth L. ;
Tsao, Doris ;
Turrigiano, Gina ;
Weiss, Paul S. ;
Xu, Chris ;
Yuste, Rafael ;
Zhuang, Xiaowei .
ACS NANO, 2013, 7 (03) :1850-1866
[2]   High-resolution bioelectrical imaging of Aβ-induced network dysfunction on CMOS-MEAs for neurotoxicity and rescue studies [J].
Amin, Hayder ;
Nieus, Thierry ;
Lonardoni, Davide ;
Maccione, Alessandro ;
Berdondini, Luca .
SCIENTIFIC REPORTS, 2017, 7
[3]   Electrical Responses and Spontaneous Activity of Human iPS-Derived Neuronal Networks Characterized for 3-month Culture with 4096-Electrode Arrays [J].
Amin, Hayder ;
Maccione, Alessandro ;
Marinaro, Federica ;
Zordan, Stefano ;
Nieus, Thierry ;
Berdondini, Luca .
FRONTIERS IN NEUROSCIENCE, 2016, 10
[4]  
Angotzi GN, 2015, I IEEE EMBS C NEUR E, P521, DOI 10.1109/NER.2015.7146674
[5]   A Synchronous Neural Recording Platform for Multiple High-Resolution CMOS Probes and Passive Electrode Arrays [J].
Angotzi, Gian Nicola ;
Malerba, Mario ;
Boi, Fabio ;
Miele, Ermanno ;
Maccione, Alessandro ;
Amin, Hayder ;
Crepaldi, Marco ;
Berdondini, Luca .
IEEE TRANSACTIONS ON BIOMEDICAL CIRCUITS AND SYSTEMS, 2018, 12 (03) :532-542
[6]   Carbon nanotube composite coating of neural microelectrodes preferentially improves the multiunit signal-to-noise ratio [J].
Baranauskas, Gytis ;
Maggiolini, Emma ;
Castagnola, Elisa ;
Ansaldo, Alberto ;
Mazzoni, Alberto ;
Angotzi, Gian Nicola ;
Vato, Alessandro ;
Ricci, Davide ;
Panzeri, Stefano ;
Fadiga, Luciano .
JOURNAL OF NEURAL ENGINEERING, 2011, 8 (06)
[7]   High-density microelectrode arrays for electrophysiololgical activity imaging of neuronal networks [J].
Berdondini, L ;
Overstolz, T ;
de Rooij, NF ;
Koudelka-Hep, M ;
Wäny, M ;
Seitz, P .
ICECS 2001: 8TH IEEE INTERNATIONAL CONFERENCE ON ELECTRONICS, CIRCUITS AND SYSTEMS, VOLS I-III, CONFERENCE PROCEEDINGS, 2001, :1239-1242
[8]   Active pixel sensor array for high spatio-temporal resolution electrophysiological recordings from single cell to large scale neuronal networks [J].
Berdondini, Luca ;
Imfeld, Kilian ;
Maccione, Alessandro ;
Tedesco, Mariateresa ;
Neukom, Simon ;
Koudelka-Hep, Milena ;
Martinoia, Sergio .
LAB ON A CHIP, 2009, 9 (18) :2644-2651
[9]   Large-scale, high-density (up to 512 channels) recording of local circuits in behaving animals [J].
Berenyi, Antal ;
Somogyvari, Zoltan ;
Nagy, Anett J. ;
Roux, Lisa ;
Long, John D. ;
Fujisawa, Shigeyoshi ;
Stark, Eran ;
Leonardo, Anthony ;
Harris, Timothy D. ;
Buzsaki, Gyorgy .
JOURNAL OF NEUROPHYSIOLOGY, 2014, 111 (05) :1132-1149
[10]   Neural Syntax: Cell Assemblies, Synapsembles, and Readers [J].
Buzsaki, Gyoergy .
NEURON, 2010, 68 (03) :362-385