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    Accurate Bayesian segmentation of thalamic nuclei using diffusion MRI and an improved histological atlas 

    Tregidgo, Henry F.J.; Soskic, Sonja; Althonayan, Juri; Maffei, Chiara; Van Leemput, Koen; Golland, Polina; Insausti, Ricardo; Lerma-Usabiaga, Garikoitz; Caballero-Gaudes, César; Paz-Alonso, Pedro M.; Yendiki, Anastasia; Alexander, Daniel C.; Bocchetta, Martina; Rohrer, Jonathan D.; Iglesias, Juan Eugenio; Alzheimer’s Disease Neuroimaging Initiative (ELSEVIER, 2023)
    The human thalamus is a highly connected brain structure, which is key for the control of numerous functions and is involved in several neurological disorders. Recently, neuroimaging studies have increasingly focused ...
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    Novel multivariate methods to track frequency shifts of neural oscillations in EEG/MEG recordings 

    Vidaurre, C.; Gurunandan, K.; Jamshidi Idaji, M.; Nolte, G.; Gómez, M.; Villringer, A.; Müller, K.-R.; Nikulin, V.V. (ELSEVIER, 2023)
    Instantaneous and peak frequency changes in neural oscillations have been linked to many perceptual, motor, and cognitive processes. Yet, the majority of such studies have been performed in sensor space and only occasion- ally ...
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    Multivariate word properties in fluency tasks reveal markers of Alzheimer’s dementia 

    Ferrante, Franco J.; Migeot, Joaquín; Birba, Agustina; Amoruso, Lucía; Pérez, Gonzalo; Hesse, Eugenia; Tagliazucchi, Enzo; Estienne, Claudio; Serrano, Cecilia; Slachevsky, Andrea; Matallana, Diana; Reyes, Pablo; Ibáñez, Agustín; Fittipaldi, Sol; Gonzalez Campo, Cecilia; García, Adolfo M. (Wiley, 2023)
    INTRODUCTION Verbal fluency tasks are common in Alzheimer's disease (AD) assessments. Yet, standard valid response counts fail to reveal disease-specific semantic memory patterns. Here, we leveraged automated word-property ...
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    Morphological decomposition in Chinese compound word recognition: Electrophysiological evidence 

    Wei, Yanjun; Niu, Ying; Taft, Marcus; Carreiras, Manuel (ELSEVIER, 2023)
    The present study examined the effect of both morphological complexity and semantic transparency in Chinese compound word recognition. Using a visual lexical decision task, our electrophysiological results showed ...

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