Dr. Busse’s research group uses mouse model to investigate neural circuit functions in the visual system. The specific of goal dr. Busse’s lab is to reveal neuronal circuits underlying processing of sensory stimuli, behavioral goals or past experiences as well as to understand how cortico-thalamic feedback modulates activity in the dorsolateral geniculate (dLGN) of the thalamus and in the thalamic reticular nucleus (TRN). To this end, mouse model is used to measure the activity in local neuronal circuits using silicon probes, and causally interfere with this activity using genetic tools, such as optogenetics.
Busse L. (2018) Selected publications Working memory freed from the past. Nature. 15;554(7692):306-307.
Saleem AB; Lien AD; Krumin M; Haider B; Roman Roson M; Ayaz A; Reinhold K; Busse L; Carandini M; Harris KD (2017) Subcortical Source and Modulation of the Narrowband Gamma Oscillation in Mouse Visual Cortex Neuron 93: 315-322.
Busse L, Cardin JA, Chiappe ME, Halassa MM, McGinley MJ, Yamashita T, Saleem AB. (2017) Sensation during Active Behaviors. J Neurosci. 8;37(45):10826-10834.
Khastkhodaei, Z., Jurjut, O., Katzner, S., and Busse, L. (2016). Mice can use second-order, contrast-modulated stimuli to guide visual perception. J Neurosci, 36(16):4457–69.
Erisken, S., Vaiceliunaite, A., Jurjut, O., Fiorini, M., Katzner, S., and Busse, L. (2014). Effects of locomotion extend throughout the mouse early visual system. Current Biology, 24(24):2899– 2907.
Dr. Donner’s lab investigates how brain states shapes human decision making and how this process is modulated in neuropsychiatric diseases. Specifically Donner lab investigates how specific neuromodulatory systems modulate cortical network dynamics underlying decisions using quantitative analysis of behavior, computational modeling, multimodal neuroimaging (fMRI and MEG), and pharmacological interventions.
Pfeffer T, Avramiea AE, Nolte G, Engel AK, Linkenkaer-Hansen K, Donner TH. (2018) Catecholamines alter the intrinsic variability of cortical population activity and perception. PLoS Biology;16(2):e2003453.
Braun A, Urai AE, Donner TH. (2018) Adaptive History Biases Result from Confidence-weighted Accumulation of Past Choices. J Neurosci. Jan 25. pii: 2189-17.
Meindertsma T, Kloosterman NA, Nolte G, Engel AK, Donner TH. (2017) Multiple Transient Signals in Human Visual Cortex Associated with an Elementary Decision. J Neurosci. 7;37(23):5744-5757.
de Gee JW, Colizoli O, Kloosterman NA, Knapen T, Nieuwenhuis S, Donner TH. (2017) Dynamic modulation of decision biases by brainstem arousal systems. Elife. 2017 Apr 11;6.
Urai AE, Braun A, Donner TH. (2017) Pupil-linked arousal is driven by decision uncertainty and alters serial choice bias. Nat Communication. 3;8:14637.
Dr. Dupret’s The objective is to define how coordination of neuronal activity in the hippocampus and connected subcortical circuits contributes to memory processes during active waking behaviour and sleep. The group performs circuit analyses to: (i) determine how neural representations of the external world are computed, consolidated and recalled in the hippocampus for the purpose of memory; (ii) establish the mnemonic contribution of oscillatory patterns of network activity (e.g., theta, gamma, sharp wave/ripples); and (iii) define neuronal interactions across brain circuits during the expression of memory-guided behaviours.
Joshi A, Salib M, Viney TJ, Dupret D, Somogyi P. (2017) Behavior-Dependent Activity and Synaptic Organization of Septo-hippocampal GABAergic Neurons Selectively Targeting the Hippocampal CA3 Area. Neuron. 20;96(6):1342-1357.
McNamara CG, Dupret D. (2017) Two sources of dopamine for the hippocampus. Trends Neurosci. 40(7):383-384.
van de Ven GM, Trouche S, McNamara CG, Allen K, Dupret D (2016) Hippocampal Offline Reactivation Consolidates Recently Formed Cell Assembly Patterns during Sharp Wave-Ripples. Neuron. 7;92(5):968-974.
Trouche S, Perestenko PV, van de Ven GM, Bratley CT, McNamara CG, Campo-Urriza N, Black SL, Reijmers LG, Dupret D (2016) Recoding a cocaine-place memory engram to a neutral engram in the hippocampus. Nat Neurosci. 19(4):564-7.
McNamara CG, Tejero-Cantero Á, Trouche S, Campo-Urriza N, Dupret D. (2014) Dopaminergic neurons promote hippocampal reactivation and spatial memory persistence. Nat Neurosci. 2014 Dec;17(12):1658-60.
Dr. Fries’s lab investigates neuronal synchronization’s mechanisms, its consequences and cognitive functions. Networks of neurons typically engage in rhythmic, synchronized activity. Dr. Fries has formulated a Communication-through-Coherence (CTC) hypothesis which describes how communication through brain areas can be facilitated through rhythmic interactions. Free viewing of natural images induces gamma-band oscillations in early visual cortex. In CTC hypothesis, the gamma rhythm in a lower visual area entrains a gamma rhythm in a higher visual area, which establishes an effective communication protocol: The lower area sends a representation of the visual stimulus rhythmically, and the higher area is most excitable precisely when this representation arrives. At other times, the higher area is inhibited, which excludes competing stimuli. Fries lab has obtained evidence to support this hypothesis using electrophysiology and optogenetic stimulation in primate models.
Richter CG , Thompson WH, Bosman CA, Fries P Top-down beta enhances bottom-up gamma. Journal of Neuroscience 37 (28).
Ni, J., Wunderle, T., Lewis, C. M., Desimone, R., Diester, I., Fries, P. (2016) Gamma-Rhythmic Gain Modulation. Neuron 92(1), 240-251.
Michalareas, G., Vezoli, J., van Pelt, S., Schoffelen, J.M., Kennedy, H. and Fries, P. (2016) Alpha-beta and Gamma Rhythms Subserve Feedback and Feedforward Influences among Human Visual Cortical Areas. Neuron 89 (2) 384-397.
Fries, P (2015) Rhythms for cognition: communication through coherence Neuron 88 (1), 220-235.
Bastos, A. M., Vezoli, J., Bosman, C. A., Schoffelen, J., Oostenveld, R., Dowdall, J. R., De Weerd, P., Kennedy, H., Fries, P. (2015) Visual Areas Exert Feedforward and Feedback Influences through Distinct Frequency Channels. Neuron 85(2), 390-401.
AN Landau, HM Schreyer, S van Pelt, P Fries (2015) Distributed attention is implemented through theta-rhythmic gamma modulation Current Biology 25 (17), 2332-2337.
Dr Kennedy’s lab is interested in the development and connectivity of the cortex. His recent work in the adult brain has established a weighted and directed matrix of inter-areal connectivity. Detailed analysis shows the role of long-range connectivity in establishing the specificity of the cortical network and how connection weights predicts many of the geometrical features of the network. His work in the developing cortex revealed the existence of unique germinal zone in the macaque cortex and with Colette Dehay aims to explore the significance of the heterogeneity of cortical precursors.
Saraf MP, Balaram P, Pifferi F, Gămănuț R, Kennedy H, Kaas JH. (2018) Architectonic features and relative locations of primary sensory and related areas of neocortex in mouse lemurs. J Comp Neurol. Feb 26.
Gămănuţ R,Kennedy H, Toroczkai Z, Ercsey-Ravasz M, Van Essen DC, Knoblauch K, Burkhalter A.(2018) The Mouse Cortical Connectome, Characterized by an Ultra-Dense Cortical Graph, Maintains Specificity by Distinct Connectivity Profiles. Neuron 97 (3), 698-715.
Borello U, Kennedy H, Dehay C (2018) The logistics of afferent cortical specification in mice and men. Semin Cell Dev Biol. 76:112-119.
Unsupervised lineage-based characterization of primate precursors reveals high proliferative and morphological diversity in the OSVZ. Pfeiffer M, Betizeau M, Waltispurger J, Pfister SS, Douglas RJ, Kennedy H, Dehay C. 2016. J Comp Neurol 524(3):535-63.
Alpha-Beta and Gamma Rhythms Subserve Feedback and Feedforward Influences among Human Visual Cortical Areas. Michalareas G, Vezoli J, van Pelt S, Schoffelen JM, Kennedy H, Fries P. 2016. Neuron 89 (2), 384-397.
Mejias JF, Murray JD, Kennedy H, Wang XJ. Feedforward and feedback frequency-dependent interactions in a large-scale laminar network of the primate cortex. Sci Adv 16;2(11):e1601335.
The Mrsic-Flogel’s lab aims to understand the fundamental principles of neural circuit organization and how this organization relates to the computations that support sensory and behavioral function. The approach is to record activity in identified neurons in large ensembles to uncover the computations taking place during sensory processing and sensory-guided behaviors as well as to understand how these computations arise from the neural hardware: from the synaptic interactions between identified cell types that differ in the patterns of input and output connectivity.
Han Y, Kebschull JM, Campbell RAA, Cowan D, Imhof F, Zador AM, Mrsic-Flogel TD. (2018) The logic of single-cell projections from visual cortex. Nature. Apr 5;556(7699):51-56.
Antolik J, Hofer SB, Bednar JA, Mrsic-Flogel TD (2016) Model Constrained by Visual Hierarchy Improves Prediction of Neural Responses to Natural Scenes. PLoS Comput Biol, 12 (6):e1004927.
Poort J, Khan AG, Pachitariu M, Nemri A, Orsolic I, Krupic J, Bauza M, Sahani M, Keller GB, Mrsic-Flogel TD, Hofer SB (2015) Learning Enhances Sensory and Multiple Non-sensory Representations in Primary Visual Cortex. Neuron 86: 1478-90.
Okun M, Steinmetz NA, Cossell L, Iacaruso MF, Ko H, Barthó P, Moore T, Hofer SB, Mrsic-Flogel TD, Carandini M, Harris KD (2015) Diverse coupling of neurons to populations in sensory cortex. Nature 521: 511-5.
Cossell L, Iacaruso MF, Muir DR, Houlton R, Sader EN, Ko H, Hofer SB, Mrsic-Flogel TD (2015) Functional organization of excitatory synaptic strength in primary visual cortex. Nature 518: 399-403.
Dr. Ritter’s lab combines advanced multimodal neuroimaging and computational modeling with the aim to identify generative mechanisms of ongoing neuronal dynamics and to elucidate principles of interaction between ongoing dynamics and incoming events or tasks. To this end, the lab uses the virtual brain model for computational modeling of neuroimaging data obtained from ultra-fast EEG-fMRI recordings combined with 3D-spatial and temporal wavelet analysis.
Inferring multi-scale neural mechanisms with brain network modelling M Schirner, AR McIntosh, V Jirsa, G Deco, P Ritter. 2018. Elife 7, e28927.
The dynamics of resting fluctuations in the brain: metastability and its dynamical cortical core. G Deco, ML Kringelbach, VK Jirsa, P Ritter. 2017. Scientific reports 7 (1), 3095.
Glomb K, Ponce-Alvarez A, Gilson M, Ritter P, Deco G. (2017) Resting state networks in empirical and simulated dynamic functional connectivity. Neuroimage. 1;159:388-40.
How do parcellation size and short-range connectivity affect dynamics in large-scale brain network models? T Proix, A Spiegler, M Schirner, S Rothmeier, P Ritter, VK Jirsa. 2016. NeuroImage 142, 135-149.
Ritter, P., M. Schirner, A.R. McIntosh, V. Jirsa (2013). "The virtual brain integrates computational modeling and multimodal neuroimaging." Brain Connect 3(2):121-145.
The goal of Siegel’s lab is to investigate how cognition and behavior such as perception, decision-making and motor behavior emerge from large-scale interactions across widely distributed neuronal ensembles. And also, to study which neural mechanisms coordinate these interactions, how they are dynamically regulated in a goal-directed fashion, and how these interactions are distributed in neuropsychiatric diseases. The lab combines human (MEG/EEG) and animal electrophysiology aiming to integrate these two lines of research.
Motor Actions Influence Subsequent Sensorimotor Decisions. Pape A. A., Noury N., Siegel M. (2017) Scientific Reports 7(1): 15913.
Pape A. A., Siegel M. (2017) Motor Cortex Activity Predicts Response Alternation during Sensorimotor Decisions. Nature Communications 7: 13098.
Siegel M., Buschmann T. J., Miller E. K. (2015) Cortical Information Flow During Flexible Sensorimotor Decisions Science 348(6241): 1352-55.
Hipp J. F., Siegel M. (2015) BOLD fMRI Correlation Reflects Frequency-Specific Neuronal Correlation. Current Biology 25, 1368-1374.
Siegel M., Donner T. H., Engel A. K. (2012) Spectral fingerprints of large-scale neuronal interactions. Nature Reviews Neuroscience 13:121-134.
The goal of Salmelin’s lab is to reveal neural organization of language (function and dysfunction) and functional relevance of cortical activation and connectivity using neuroimaging as well as methodological development for imaging and analysis. The goal is to reveal a scientific description of language processing in a healthy human brain, and to provide essential groundwork for an informed and efficient description and treatment of developmental and acquired language disorders.
Information properties of morphologically complex words modulate brain activity during word reading. Hakala T, Hultén A, Lehtonen M, Lagus K, Salmelin R. (2018) Human Brain Mapping. in press
Exploring the Organization of Semantic Memory through Unsupervised Analysis of Event-related Potentials. van Vliet M, Van Hulle MM, Salmelin R. (2018). Journal of cognitive neuroscience 30 (3), 381-392.
The right hemisphere is highlighted in connected natural speech production and perception. Alexandrou AM, Saarinen T, Mäkelä S, Kujala J, Salmelin R (2017) NeuroImage 152, 628-638.
The main research interest is to develop novel brain imaging methods; using them to reveal some secrets of the brain and to develop methods to diagnose and treat the brain. Dr. Ilmoniemi is currently developing hybrid of MEG and MRI (MEG-MRI), new methods for TMS and novel solutions to the biomagnetic inverse problem.
Koponen LM, Nieminen JO, Ilmoniemi RJ. (2018) Multi-locus transcranial magnetic stimulation-theory and implementation. Brain Stimul. 23. pii: S1935-861X(18)30097-4.
Koponen LM, Nieminen JO, Mutanen TP, Ilmoniemi RJ. (2018) Noninvasive extraction of microsecond-scale dynamics from human motor cortex. Hum Brain Mapp. in press
Automatic and robust noise suppression in EEG and MEG The SOUND algorithm. Mutanen, Tuomas P.; Metsomaa, Johanna; Liljander, Sara; Ilmoniemi, Risto J. Neuroimage. 2018 Feb 1;166:135-151.
Dr. Alho’s group main research interest lies in identifying brain areas and the functional networks involved in auditory cognition. Dr. Alho’s goals are also to a investigate how multitasking and gaming affects cognition and brain activity. The group uses behavioral methods, fMRI, EEG, MEG and eye-tracking.
Salmela, V., Salo, E., Salmi, J. & Alho, K. (2018). Spatiotemporal dynamics of attention networks revealed by representational similarity analysis of EEG and fMRI. Cerebral Cortex. 28, 2, p. 549–560.
Moisala M, Salmela V, Hietajärvi L, Carlson S, Vuontela V, Lonka K, Hakkarainen K, Salmela-Aro K, Alho K. (2016) Gaming is related to enhanced working memory performance and task-related cortical activity. Brain Res. 2017. Jan 15;1655:204-215.
Moisala M, Salmela V, Hietajärvi L, Salo E, Carlson S, Salonen O, Lonka K, Hakkarainen K, Salmela-Aro K, Alho K. Media multitasking is associated with distractibility and increased prefrontal activity in adolescents and young adults. Neuroimage. 1;134:113-12.
Oja L, Huotilainen M, Nikkanen E, Oksanen-Hennah H, Laasonen M, Voutilainen A, von Wendt L, Alho K (2016) Behavioral and electrophysiological indicators of auditory distractibility in children with ADHD and comorbid ODD. (2016) Brain Res. 1;1632:42-50.
The research group of Dr. Paunio has focused on understanding the individual variation in susceptibility to disturbed sleep, emotions, and mental health, with the basic idea that only by understanding the basic mechanisms and inter-individual variation behind the reactivity of these mechanisms one can develop targeted, individualized tools to ameliorate sleep- and stress-related disturbances. The group has also identified genetic risk variants for major psychiatric diseases including schizophrenia and bipolar disorder in the Finnish population and as part of large international collaborative networks.
Mäkelä, T. E., Peltola, M. J., Nieminen, P., Paavonen, E. J., Saarenpää-Heikkilä, O., Paunio, T., Kylliäinen, A. (2018) Night awakening in infancy: Developmental stability and longitudinal associations with psychomotor development.: Developmental Psychology. in press
Liuhanen, J., Suvisaari, J., Kajantie, E., Miettunen, J., Sarin, A-P., Järvelin, M-R., Lönnqvist, J., Veijola, J., Paunio, T (2018) Interaction between compound genetic risk for schizophrenia and high birth weight contributes to social anhedonia and schizophrenia in women. Psychiatry Research. 259: 48-153.
Leminen MM, Virkkala J, Saure E, Paajanen T, Zee PC, Santostasi G, Hublin C, Müller K, Porkka-Heiskanen T, Huotilainen M, Paunio T. (2017) Enhanced Memory Consolidation Via Automatic Sound Stimulation During Non-REM Sleep. Sleep. 1;40(3).