INCeMaq

BRAIN-MACHINE INTERFACE (INCeMaq)

INCeMaq is a running project approved in the context of Brazilian Institutes Program of Science and Technology of the Brazilian Council of Technology and Scientific Development CNPq/MCT, with registered covenant in CNPq under No. 610009/2009-5 and in SICONV under No. 704134/2009.

The research in Brain-Machine Interface (BMI) aims to establish a direct communication between the nerve tissue and computational, electronic and robotic artifacts through the use of neurophysiological signs and brain microstimulation. During the last decade, BMI rapidly transformed into one of the fastest-growing research areas of the world.

Although BMI research is still in its origins, emphatic demonstrations of its therapeutic potential were already performed for a variety of neurological diseases, such as paralysis, epilepsy, Parkinson disease, stroke and depression. These demonstrations indicate that further research in BMI may soon lead to an emerging of a new generation of neuroprosthetic devices capable of restoring a variety of neurological functions in patients severely limited by their disorders.

The neurological diseases represent an important economic and human burden for all society. In addition to great initial progresses, the molecular/biochemical and pharmacological approaches have not been presenting new solutions through the last decades. Thus, Brain-Machine Interface emerges as an alternative or supplementary approach to current treatments.

There are numerous long term applications of BMI and they go beyond medicine, since direct brain control of electronic equipment and computers may become possible in the future.

Thus, several developed nations recently created their BMI national programs. Therefore, creating its own Brain-Machine Interface Brazilian Institute (INCeMaq) represents a great strategic importance for Brazil. In order to achieve their goals, INCeMaq has established a wide and bold technology and research program in BMI in the Northeast region of Brazil, with connections to other foreign and Brazilian institutions.

INCeMaq comprises not only the applied, basic research in BMI, but also a scientific initiation program for public schools students and a program for technology transference and development. INCeMaq acts, therefore, as a complete mechanism for generation, transmission and transference of innovative knowledge in this new multidisciplinary research field with unmeasurable economic, educational and social repercussions.

RESEARCH LINES

Brain-Machine Interface – development and biocompatibility of multi-electrodes arrays; decoding of neuronal populations activity and generation of commands for devices;

Spinal Cord Neuromodulation – electrodes development for epidural stimulation; behavioral, electrophysiological and immunohistochemical evaluation of stimulation effects.

In the academic field, the program aims to stimulate the scientific education for students of public schools through experience in resolution practice of challenges using research methodologies and also in transferring technology and enabling researches to boast the qualified human resources growth in neuroengineering.

INCeMaq presents favorable characteristics for the country establishment such as a scientific-technologic leadership in BMI. The constant transference of the most advanced investigation methodologies in BMI for the formation of national human resources and participation in Walk Again Project have made possible the effective performance of INCeMaq in education and research.

Macaíba Research Center, Rio Grande do Norte, is the local that supports INCeMaq. The knowledge produced is transferred continuously for students and general public.

Técnicas de imunohistoquímica para estudo dos efeitos do implante de eletrodos

Immunohistochemistry techniques for the study of electrodes implantation effects
Realização inédita de uma interface cérebro-cérebro entre dois roedores separados por milhares de quilômetros

Unprecedented achievement of a brain-to-brain interface between two rodents separated by thousands of kilometers
Registro eletrofisiológico simultâneo de centenas de canais

Simultaneous electrophysiological recording of hundreds of canals
Métodos de detecção e classificação de neurônios

Detection methods and neurons classification

PARTICIPANTS NETWORK

Edmond and Lily Safra International Institute of Neuroscience of Natal – IINELS
Functional Neurosurgery Lab – HC-FMUSP
Experimental Neurology Lab – UERN
Work Analysis Lab – UFPB
Central Nervous System Pharmacology and Physiology Lab – UFPR
Engineering Lab – UNIR
Engineering Lab – UFMT
Optimization Methods and Computational Learning Lab – UFMA
Computational Analysis Lab – UNIFESP
Behavioral Neurobiology Lab – UFS
Experimental Neuroprotection and Neuroregeneration Lab – UFPA
Lund University
Duke University

RESEARCH SUPPORTERS 

National Council for Scientific and Technological Development – CNPq/MCT
The State Funding Agency of Rio Grande do Norte – FAPERN

 

SCIENTIFIC PRODUCTION

Santana, M.; Palmér, T.; Simplício, H.; Fuentes, R.; Petersson, P.. Characterization of long-term motor deficits in the 6-OHDA model of Parkinson’s disease in the common marmoset. Behavioural Brain Research 290 (2015) 90-101.

Santana, M. B.; Halje, P.; Simplício, H.; Richter, U.; Freire, M. A. M.; Petersson, P.; Fuentes, R.; Nicolelis, M. A. L.. Spinal Cord Stimulation Alleviates Motor Deficits in a Primate Model of Parkinson Disease. Neuron, Volume 84, Issue 4, p716–722, 19 November 2014.

Aratanha, M. A. A.; Simplicio, H.; Morya, Edgard; Moioli, R. C.; Brasil, F. L.. Real time neural signal processing and visuo-motor integration: New perspectives for assistive technology. In: 2014 IEEE 16th International Conference on eHealth Networking, Applications and Services (Healthcom 2014), 2014, Natal-RN. 2014 IEEE 16th International Conference on e-Health Networking, Applications and Services (Healthcom). p. 128-129.

Deolindo, C. S.; Kunicki, A. C. B.; Brasil, F. L.; Moioli, R. C.. Limitations of principal component analysis as a method to detect neuronal assemblies. In: 2014 IEEE 16th International Conference on eHealth Networking, Applications and Services (Healthcom 2014), 2014, Natal-RN. 2014 IEEE 16th International Conference on e-Health Networking, Applications and Services (Healthcom). p. 24.

Ifft, P. J.; Shokur, S; Li, Z; Lebedev, M. A.; Nicolelis, M. A. L.. A Brain-Machine Interface Enables Bimanual Arm Movements in Monkeys. Science Translational Medicine, Nov/ 2013 Vol 5 Issue 210.

Pais-Vieira, M.; Lebedev, M.; Kunicki, C.; Wang, J.; Nicolelis, M. A. L.. A Brain-to-Brain Interface for Real-Time. Sharing of Sensorimotor Information. Scientific Reports Feb/2013