METHODS & RESOURCES
LOWER DIMENSIONAL NEURONAL SPACES
We use a combination of machine learning and dimensionality reduction methods in order to better characterize the architecture of prefrontal information coding. A specific emphasis is put on the spatial and temporal dynamics of these codes.
Axel Mouille, Corentin Gaillard*, Elaine Astrand*, Claire Wardak, Suliann Ben Hamed*, Julian Luis R Amengual* (2023) Distinct neural states encode task identity in frontal eye field and interact with its core spatial properties. BioRxiv, https://www.biorxiv.org/content/10.1101/2023.09.05.556340v1
J Amengual, F Di Bello, SBH Hassen, E Astrand, S Ben Hamed (2022) The cost of multiplexing: PFC integrates multiple sources of information in non-orthogonal components accounting for behavioral variability. BioRxiv, https://doi.org/10.1101/2022.12. 28.522139
JL Amengual, F Di Bello, S Ben Hadj Hassen, S Ben Hamed (2022) Distractibility and impulsivity neural states are distinct from selective attention and modulate the implementation of spatial attention. Nature Communications 13 (1), 4796. https://doi.org/10.1038/s41467-022-32385-y
DECODING OF COGNITIVE VARIABLES
We use machine learning methods in order to track, in real-time spatial attention and sustained attention information from both invasive (multiunit activity, local field potentials) and non-invasive (fMRI) signals.
Gaillard, C De Sousa, J Amengual, C Loriette, C Ziane, S Ben Hadj Hassen, F Di Bello, S Ben Hamed. Attentional brain rhythms during prolonged cognitive activity (2021) BioRxiv https://doi.org/10.1101/2021.05.26.445730
Celia Loriette, Carine De Sousa Ferreira, Simon Clavagnier, Franck Lamberton, Danielle Ibarrola, Suliann Ben Hamed. Non‐invasive real‐time access to spatial attention information from 3T fMRI BOLD signals (2021) BioRxiv https://doi.org/10.1101/2021.11.24.469873
de Sousa C, Gaillard C, Di Bello F, Ben Hadj Hassen S, Ben Hamed S. Behavioral validation of novel high resolution attention decoding method from multi-units & local field potentials, (2021) NeuroImage, 231: 117853. https://doi.org/10.1016/j.neuroimage.2021.117853
JL Amengual, F Di Bello, S Ben Hadj Hassen, S Ben Hamed (2022) Distractibility and impulsivity neural states are distinct from selective attention and modulate the implementation of spatial attention. Nature Communications 13 (1), 4796. https://doi.org/10.1038/s41467-022-32385-y
F Di Bello, S Ben Hadj Hassen, E Astrand, S Ben Hamed (2022) Prefrontal Control of Proactive and Reactive Mechanisms of Visual Suppression. Cerebral Cortex 32 (13), 2745-2761. https://doi.org/10.1093/cercor/bhab378
Corentin Gaillard, Sameh Ben Hadj Hassen, Fabio Di Bello, Yann Bihan-Poudec, Rufin VanRullen, Suliann Ben Hamed. (2020) Prefrontal attentional saccades explore space at an alpha rhythm. Nature Communications, 11 (1), 1-13. https://doi.org/10.1038/s41467-020-14649-7
Elaine Astrand, Claire Wardak, Suliann Ben Hamed (2020) Neuronal population correlates of target selection and distractor filtering. Neuroimage, 209:116517. https://doi.org/10.1016/j.neuroimage.2020.116517
Astrand E, Wardak C, Baraduc P, Ben Hamed S. (2016) Direct two-dimensional access to the spatial location of covert attention in macaque prefrontal cortex. Current Biology 26 (13), 1699‐1704. http://dx.doi.org/10.1016/j.cub.2016.04.054
Astrand E., Enel P., Ibos G., Dominey P. F., Baraduc P., Ben Hamed S. (2014) Comparison of classifiers for decoding sensory and cognitive information from prefrontal neuronal populations. PLoS ONE, 9 (1), e86314. https://doi.org/10.1371/journal.pone.0086314
Ben Hamed, S., Schieber, M. H., and Pouget, A. (2007). Decoding M1 neurons during multiple finger movements. J Neurophysiol 98, 327-33. https://doi.org/10.1152/jn.00760.2006
Ben Hamed, S., Page, W., Duffy, C., and Pouget, A. (2003). MSTd neuronal basis functions for the population encoding of heading direction. J Neurophysiol 90, 549-58. https://doi.org/10.1152/jn.00639.2002
MAGNETIC RESONANCE IMAGING
We deploy a set of methods associated with DTI and fMRI acquisitions and analyses. The team is also an active partner of the Prime-DRE consortium.
Yann Bihan-Poudec, PhD, Slimane Tounekti, PhD, Thomas Troalen, PhD, Holly Rayson, PhD, Mathilda Froesel, PhD, Franck Lamberton, PhD, Zakaria Zariry, PhD candidate, Maëva Gacoin, PhD, Nathalie Richard, PhD, Suliann Ben Hamed, PhD, Bassem Hiba, PhD (2023). Cardiovascular Effects on High Resolution 3D Multi-Shot Diffusion MRI of the Rhesus Macaque Brain: Cardiovascular effects on 3D-dMRI of the Macaque Brain. Imaging Neuroscience. https://doi.org/10.1162/imag_a_00039
Michael Milham, Chris Petkov, Pascal Belin, Suliann Ben Hamed, […] Toward next-generation primate neuroscience: A collaboration-based strategic plan for integrative neuroimaging (2022). Neuron, 110(1):16-20. https://doi.org/10.1016/j.neuron.2021.10.015
Russ, B.E., Petkov, C. Kwok, S.Z., Belin, P., Vanduffel, W., Ben Hamed S. Common functional localizers to enhance NHP & cross-species neuroscience imaging research. (2021) NeuroImage, 237: 118203. https://doi.org/10.1016/j.neuroimage.2021.118203
Song X, Garcia P, Kindred N, Wang Y, Merchant H, Meguerditchian A, Yang Y, Stein E.A., Charles B.W., Ben Hamed S, Jedema H.P., Poirier C. Strengths and challenges of longitudinal primate neuroimaging. (2021) NeuroImage, 236:118009. https://doi.org/10.1016/j.neuroimage.2021.118009
Poirier C, Ben Hamed S, Garcia-Saldivar P, Kwok S.C., Meguerditchian A., Merchant H, Rogers J, Wells S, Fox A.S. Beyond MRI: on the scientific value of combining non-human primate neuroimaging with metadata. (2021) NeuroImage, 228:117679. https://doi.org/10.1016/j.neuroimage.2020.117679
PRIMatE Data Exchange (PRIME-DE) Global Collaboration Workshop and Consortium (2020). Accelerating the Evolution of Nonhuman Primate Neuroimaging. Neuron 105(4):600-603. https://doi.org/10.1016/j.neuron.2019.12.023
Milham MP, Ai L, Koo B, Xu T, Amiez C, Balezeau F, Baxter MG, Blezer ELA, Brochier T, Chen A, Croxson PL, Damatac CG, Dehaene S, Everling S, Fair DA, Fleysher L, Freiwald W, Froudist-Walsh S, Griffiths TD, Guedj C, Hadj-Bouziane F, Ben Hamed S, Harel N, Hiba B, Jarraya B, Jung B, Kastner S, Klink PC, Kwok SC, Laland KN, Leopold DA, Lindenfors P, Mars RB, Menon RS, Messinger A, Meunier M, Mok K, Morrison JH, Nacef J, Nagy J, Rios MO, Petkov CI, Pinsk M, Poirier C, Procyk E, Rajimehr R, Reader SM, Roelfsema PR, Rudko DA, Rushworth MFS, Russ BE, Sallet J, Schmid MC, Schwiedrzik CM, Seidlitz J, Sein J, Shmuel A, Sullivan EL, Ungerleider L, Thiele A, Todorov OS, Tsao D, Wang Z, Wilson CRE, Yacoub E, Ye FQ, Zarco W, Zhou YD, Margulies DS, Schroeder CE. (2018) An Open Resource for Non-human Primate Imaging. Neuron, 100(1):61-74.e2. https://doi.org/10.1016/j.neuron.2018.08.039
Tounekti S, Troalen T, Bihan-Poudec Y, Froesel M, Lamberton F, Ozenne V, Cléry J, Richard N, Descoteaux M, Ben Hamed S, Hiba B. (2018) High-resolution 3D diffusion tensor MRI of anesthetized rhesus macaque brain at 3T. Neuroimage. 181:149-161. https://doi.org/10.1016/j.neuroimage.2018.06.045
VIDEO-BASED HEART RATE TRACKING
We developped a video-based heart rate tracking that can be used to track heart-rate in awake behaving monkeys during fMRI acquisitions.
Mathilda Froesel, Quentin Goudard, Marc Hauser, Maëva Gacoin & Suliann Ben Hamed. Automated video-based heart rate tracking for the anesthetized and behaving monkey (2020) Scientific Reports 10: 17940. https://doi.org/10.1038/s41598-020-74954-5