Mind & Brain Lab
@MBLab_ULJ
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Cognitive neuroscience laboratory, cognitive control, working memory, functional brain integration. #neuroimaging #datascience #informatics
Ljubljana, Slovenia
Joined February 2021
Our lab is looking for a PhD candidate to join our research in cognitive neuroscience. If you're interested, check out the details here: đź”—
mblab.si
The Mind & Brain Lab at the Department of Psychology, University of Ljubljana is looking for a PhD candidate to work in the research program "Physiological Mechanisms of Neurological Diseases and...
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Thank you @Yale, @YalePsych, and @YaleMed for featuring our neuroimaging research on the human brain and individual differences! 🧠@PLOSBiology. We’ll be preparing summary threads on this work soon—stay tuned! https://t.co/q8YW4VIFBr
news.yale.edu
In a new study, Yale researchers find three patterns of brain activity shared across hundreds of people.
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Mind & Brain Lab in Ljubljana is looking for a new researcher (pre- or post-doctoral) to work in the field of experimental psychology and cognitive neuroscience. More info: https://t.co/EuuBnyAszG Please retweet.
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Our researchers, @AndrazMatkovic , Lara Oblak and @alexkraljic successfully presented our work at #FENS2024. We're also saying goodbye to Alex, who will be leaving us after the conference. We wish him all the best!
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Very excited to share our last preprint with @AnticevicLab @Clara_Fonteneau @Kangjoo_Lee_ @MBLab_ULJ @AndrazMatkovic et al. about #antidepressant and #placebo effects https://t.co/mYqlotOxDA
medrxiv.org
Importance Understanding the mechanisms of major depressive disorder (MDD) improvement is a key challenge to determine effective personalized treatments. Objective To perform a secondary analysis...
A common symptom geometry of mood improvement under sertraline and placebo associated with distinct neural patterns https://t.co/IImOwCCKl2
#medRxiv
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Fresh on our Blog: Empirically determining slice acquisition order in different Philips Achieva MultiBand BOLD sequences using a silly but informative experiment. https://t.co/XSsp28YWWi
mblab.si
... in which the order of slices in different multiband sequences is deduced using a silly but informative experiment.
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Finally, we have shown that the variance component model can be sensitive to noise in the sense that in some cases more variance is explained when more noise is added to the data.
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In addition, we have shown that partial least squares (PLS) weights/loadings can be biased toward the first principal axis (see also https://t.co/A5M5WSBmSd).
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... and the generalizability of brain-behavior correlations (e.g. canonical correlation analysis, CCA).
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The choice of functional connectivity method also affects the network topology ...
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Contrary to previous findings ( https://t.co/C4GMBBHtc7), we show that static and dynamic connectivity represent largely similar information, both in terms of direct comparison of FC matrices and in terms of brain-behavior correlations.
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We are excited to announce that our paper comparing static and dynamic functional connectivity has just been published in Network Neuroscience https://t.co/oqYkZtGKpe (@a_matkovic @AnticevicLab @alan_anticevic @johndmurray )
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In collaboration with @AnticevicLab, we have developed QuNex—An integrative platform for reproducible neuroimaging analytics. Published in https://t.co/ADeY07BH8t.
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In partnership with the Faculty of Social Sciences, we published a study comparing generic and gender-balanced grammatical forms. The research was preregistered.
frontiersin.org
The event-related potential method has proven to be a useful tool for studying the effects of gender information in language. Studies have shown that mismatc...
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We developed an R package for the evaluation and automatic data-driven optimization of general linear models for the purpose of task-related fMRI data analysis.
frontiersin.org
Analysis of task-related fMRI activity at the level of individual participants is commonly based on general linear modeling (GLM), which allows us to estimat...
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We recently published a paper in Frontiers in Neuroimaging that reviews the use of deep learning in the analysis of neuroimaging data.
frontiersin.org
Methods for the analysis of neuroimaging data have advanced significantly since the beginning of neuroscience as a scientific discipline. Today, sophisticate...
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New paper from our lab was recently published in Frontiers in Neuroimaging. An in-depth evaluation of the most common approaches to MR-induced EEG artifact reduction utilizing Bayesian hierarchical probabilistic modeling. https://t.co/m8oK1hcVxe
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The Cambridge Handbook of Working Memory and Language is now out. Three members of the lab, Nina Purg, Anka Slana Ozimič and Grega Repovš, have contributed the 7th chapter, The Cognitive Neuroscience of Working Memory and Language.
cambridge.org
Cambridge Core - Applied Linguistics - The Cambridge Handbook of Working Memory and Language
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The official call for a Ph.D. position in our lab is now posted online: https://t.co/5HUOtyRMQi. The deadline for the application is 13 July at 1:00 pm. We welcome interested candidates to apply!
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Our paper is out related to the phenomenological study of visuo-spatial working memory performance.
frontiersin.org
In experimental cognitive psychology, objects of inquiry are typically operationalized with psychological tasks. When interpreting results from such tasks, w...
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