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Biology subjects

Gal, S.

Publications and source records attributed to Gal, S..

7 recordsLinked to original sources

Musical training-induced plasticity reflects melodic rather than instrumental expertise

Musical training produces behavioral gains that extend beyond the practiced context. Yet, it is unclear whether such generalization is accompanied by broadly transferable neural changes or whether training-induced plasticity remains tied to the specific features of the learned material. In this study, 80 musically naive adults completed four piano-training sessions and underwent functional MRI before and after training. Twenty untrained participants served as passive controls. Participants performed a passive listening task in which they listened to the trained melody (Fur Elise) and an untrained melody (Ode to Joy), each played on a trained musical instrument (piano) and an untrained musical instrument (saxophone). Following training, participants demonstrated improved accuracy and rhythmic performance when playing an unfamiliar melody, indicating behavioral generalization. Training-induced neural changes, however, were predominantly associated with the learned melodic content. Listening to Fur Elise elicited increased activity in the intraparietal and supplementary motor cortex and in the cerebellum, as well as decreased activity in the superior temporal cortex. Consistently, pre- and post-training scans were most accurately classified based on brain activity to Fur Elise played on piano or saxophone, rather than brain response to Ode to Joy, suggesting that neural reorganization was driven more strongly by the practiced melody than by the trained instrumental timbre. Training also enhanced the neural separability of both melodic and instrumental information. Critically, pre-training responses to Fur Elise played on the piano predicted subsequent playing accuracy, whereas pre-training sensitivity to instrumental timbre predicted rhythmic performance in a novel melodic context. Together, these findings suggest that while acquired musical skills behaviorally transfer to novel material, practice-induced functional plasticity remains predominantly melody-specific. We conclude that musical skill acquisition reflects complementary contributions of pre-existing neural characteristics and learning-induced plasticity, with baseline auditory representations potentially supporting successful behavioral transfer.

neuroscience↗

Ethylene biosynthesis in guard cells, not mesophyll, predominantly drives stomatal conductance responses to CO2

O_LIResearch and rationale: This study investigates whether tissue-specific ethylene biosynthesis regulates stomatal conductance (gs) responses to changing [CO2] in Arabidopsis thaliana. While guard cells sense [CO2], mesophyll-derived signals are also implicated in stomatal control. We aimed to determine if ethylene production in guardcells or mesophyll is the primary driver of CO2-induced gs regulation. C_LIO_LIMethods: An acs octuple mutant with severely reduced ethylene production was complemented with tissue-specific ACS8/ACS11 transgenes driven by guard-cell, spongy-mesophyll, dual palisade/spongy-mesophyll, or whole-leaf promoters. Tissue-specific complementation in the different transgenic lines was confirmed and evaluated by qPCR, tissue-specific NEON expression, microscopic imaging, and ethylene production measurements. Gas-exchange measurements on intact plants recorded gs kinetics, CO2 assimilation, and water-use efficiency, across CO2 shifts. C_LIO_LIKey results: Guard-cell complementation nearly fully restored wild-type gs responses and reversed the mutants aberrant leaf phenotype. Spongy-mesophyll complementation failed to rescue either trait, while dual palisade- and spongy-mesophyll complementation yielded only partial recovery. C_LIO_LIConclusion: Ethylene produced in guard cells is the dominant regulator of CO2-induced stomatal conductance regulation, with mesophyll-derived ethylene contributing secondarily via long-distance signaling or by augmenting the overall ethylene pool. These findings underscore the importance of spatially regulated ethylene biosynthesis in balancing carbon assimilation and transpiration. C_LI

plant biology↗

Domestication reduces drought tolerance in watermelon through loss of root plasticity traits

Wild plants, particularly those native to xeric environments, are highly adapted to survive under harsh conditions. These adaptive strategies primarily ensure the successful transfer of genetic material to subsequent generations, often independently of fruit size or quality. In contrast, more than 10,000 years of domestication have shifted plant strategies away from survival-oriented traits toward increase in yield and fruit quality. In this study, we characterized both shared and divergent physiological traits contributing to drought tolerance in wild and domesticated watermelon genotypes. Specifically, we compared above- and belowground responses to water limitation in desert watermelon (Citrullus colocynthis) versus these in a watermelon cultivar (Citrullus lanatus). While aboveground responses to water scarcity were largely similar between the two genotypes, pronounced differences emerged belowground. Root biomass and surface area in the cultivated watermelon were predominantly concentrated in the upper soil layers. In contrast, desert watermelon displayed substantial root system plasticity under drought conditions. Although total root biomass remained largely distributed in the upper soil layers, root surface area shifted toward deeper soil layers, indicating enhanced water acquisition from deeper soil layers without additional biomass investment. These findings suggest that domesticated watermelon, despite originating from desert-adapted ancestors, has largely lost the capacity for dynamic root system adjustment in response to spatial and temporal variation in soil water availability.

plant biology↗

Act Natural: Functional Connectivity from Naturalistic Stimuli fMRI Outperforms Resting-State in Predicting Brain Activity

The search for an ideal approach to investigate the functional connections in the human brain is an ongoing challenge for the neuroscience community. While resting-state functional magnetic resonance imaging (fMRI) has been widely used to study individual functional connectivity patterns, recent work has highlighted the benefits of collecting functional connectivity data while participants are exposed to naturalistic stimuli, such as watching a movie or listening to a story. For example, functional connectivity data collected during movie-watching were shown to predict cognitive and emotional scores more accurately than resting-state-derived functional connectivity. We have previously reported a tight link between resting-state functional connectivity and task-derived neural activity, such that the former successfully predicts the latter. In the current work we use data from the Human Connectome Project to demonstrate that naturalistic-stimulus-derived functional connectivity predicts task-induced brain activation maps more accurately than resting-state-derived functional connectivity. We then show that activation maps predicted using naturalistic stimuli are better predictors of individual intelligence scores than activation maps predicted using resting-state. We additionally examine the influence of naturalistic-stimulus type on prediction accuracy. Our findings emphasize the potential of naturalistic stimuli as a promising alternative to resting-state fMRI for connectome-based predictive modelling of individual brain activity and cognitive traits.

neuroscience↗

Predicting Individual Traits from Unperformed Tasks

Relating individual differences in cognitive traits to brain functional organization is a long-lasting challenge for the neuroscience community. Individual intelligence scores were previously predicted from whole-brain connectivity patterns, extracted from functional magnetic resonance imaging (fMRI) data acquired at rest. Recently, it was shown that task-induced brain activation maps outperform these resting-state connectivity patterns in predicting individual intelligence, suggesting that a cognitively demanding environment improves prediction of cognitive abilities. Here, we use data from the Human Connectome Project to predict task-induced brain activation maps from resting-state fMRI, and proceed to use these predicted activity maps to further predict individual differences in a variety of traits. While models based on original task activation maps remain the most accurate, models based on predicted maps significantly outperformed those based on the resting-state connectome. Thus, we provide a promising approach for the evaluation of measures of human behavior from brain activation maps, that could be used without having participants actually perform the tasks.

neuroscience↗

Predicting Individual Variability in Task-Evoked Brain Activity in Schizophrenia

BACKGROUNDPatients suffering from schizophrenia demonstrate abnormal brain activity, as well as alterations in patterns of functional connectivity assessed by functional magnetic resonance imaging (fMRI). Previous studies in healthy participants suggest a strong association between resting-state functional connectivity and task-evoked brain activity that could be detected at an individual level, and show that brain activation in various tasks could be predicted from task-free fMRI scans. In the current study we aimed to predict brain activity in patients diagnosed with schizophrenia, using a prediction model based on healthy individuals exclusively. This offers novel insights regarding the interrelations between brain connectivity and activity in schizophrenia. METHODSWe generated a prediction model using a group of 80 healthy controls that performed the well-validated N-back task, and used it to predict individual variability in task-evoked brain activation in 20 patients diagnosed with schizophrenia. RESULTSWe demonstrated a successful prediction of individual variability in the task-evoked brain activation based on resting-state functional connectivity. The predictions were highly sensitive, reflected by high correlations between predicted and actual activation maps (Median = 0.589, SD = 0.193) and specific, evaluated by a Kolomogrov-Smirnov test (D = 0.25, p < 0.0001). CONCLUSIONSA Successful prediction of brain activity from resting-state functional connectivity highlights the strong coupling between the two. Moreover, our results support the notion that even though resting-state functional connectivity and task-evoked brain activity are frequently reported to be altered in schizophrenia, the relations between them remains unaffected. This may allow to generate task activity maps for clinical populations without the need the actually perform the task.

neuroscience↗

Y-chromosome haplogroups from Hun, Avar and conquering Hungarian period nomadic people of the Carpathian Basin

Hun, Avar and conquering Hungarian nomadic groups arrived into the Carpathian Basin from the Eurasian Steppes and significantly influenced its political and ethnical landscape. In order to shed light on the genetic affinity of above groups we have determined Y chromosomal haplogroups and autosomal loci, from 49 individuals, supposed to represent military leaders. Haplogroups from the Hun-age are consistent with Xiongnu ancestry of European Huns. Most of the Avar-age individuals carry east Eurasian Y haplogroups typical for modern north-eastern Siberian and Buryat populations and their autosomal loci indicate mostly unmixed Asian characteristics. In contrast the conquering Hungarians seem to be a recently assembled population incorporating pure European, Asian and admixed components. Their heterogeneous paternal and maternal lineages indicate similar phylogeographic origin of males and females, derived from Central-Inner Asian and European Pontic Steppe sources. Composition of conquering Hungarian paternal lineages is very similar to that of Baskhirs, supporting historical sources that report identity of the two groups.

genetics↗