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Large brain mapping dataset expands with new set of cognitive tasks

The Individual Brain Charting (IBC) project has released its fifth and largest update of high-resolution fMRI data, adding a new set of cognitive tasks to one of the most detailed brain-mapping datasets available today. The dataset, which is openly accessible through EBRAINS, is described in a new publication in Nature Scientific Data.

The new release expands the dataset with 18 tasks collected from 11 participants under tightly controlled, standardised conditions – bringing many of them close to 40 hours of scanned data each.

The IBC project launched in 2014 and was funded by the Human Brain Project. It aims to map how individual brains respond across a wide range of cognitive functions. By repeatedly scanning the same participants with diverse tasks – from mathematics and spatial navigation to emotion recognition, reward processing, and working memory – the team is building an exceptionally rich resource for studying individual variability in brain organization.

Pallidus internus versus subthalamic nucleus deep brain stimulation for Meige syndrome: a randomized, controlled, double-blind multicenter trial

The aim of this randomized, controlled, double-blind multicenter trial was to compare the safety and efficacy of globus pallidus internus (GPi) and subthalamic nucleus (STN) deep brain stimulation (DBS) in patients with Meige syndrome (MeS). Additionally, the authors explored the optimal site of DBS and identified predictors of clinical outcomes.

The primary outcome was improvement in motor function as assessed by the Burke-Fahn-Marsden Dystonia Rating Scale (BFMDRS). The secondary outcomes included mood, global cognitive function, and quality of life (QOL). The optimal stimulation site for DBS was investigated using Lead-DBS.

A total of 62 patients with MeS were randomized to receive GPi-DBS (n = 31) or STN-DBS (n = 31), and all completed the 1-year follow-up. In the GPi-DBS group, the mean improvement rates in BFMDRS movement scores were 54.9%, 57.3%, and 59.7% at 3, 6, and 12 months, respectively. In the STN-DBS group, the corresponding rates were 57.1%, 59.0%, and 59.9%. There was no significant difference in the efficacy of motor symptoms, depression, anxiety, and QOL between the two groups during follow-up. The total electrical energy delivered in the GPi-DBS group was significantly greater than that in the STN-DBS group. The adverse event rates were comparable between the GPi-DBS (16.1%) and STN-DBS (12.9%) groups (p 0.99). The “sweet spot” for GPi-DBS was found to be located in the posterolateral dorsal pallidum (ρ = 0.76, p = 0.001), while the sweet spot for STN-DBS was found to be situated in the dorsal subthalamic nucleus (ρ = 0.66, p = 0.005).

Bayesian probabilistic density mapping of the decussating dentato-rubro-thalamic tract to predict clinical tremor improvement in MRgFUS

OBJECTIVE Magnetic resonance–guided focused ultrasound (MRgFUS) is increasingly recognized as an effective treatment option for patients with medication-refractory essential tremor (ET). Indirect coordinates of the ventral intermediate nucleus of the thalamus, as well as the dentato-rubro-thalamic tract (DRTT) originating from the ipsilateral dentate nucleus, known as the “nondecussating DRTT” (nd-DRTT), are commonly used as targets for sonication. Anatomically, the DRTT originating from the contralateral dentate nucleus, referred to as the “decussating DRTT” (d-DRTT), constitutes the predominant component of the two fiber populations. However, the d-DRTT is rarely visualized using conventional diffusion tensor imaging (DTI) because of the technical challenges associated with resolving crossing fiber orientations. Probabilistic tractography enables the differentiation of crossing fibers, thus allowing for visualization of both the d-DRTT and nd-DRTT. Authors of this study aimed to evaluate whether the d-DRTT delineated by probabilistic tractography represents an anatomical target more important than indirect coordinates or the nd-DRTT. METHODS Consecutive patients with medically refractory ET who underwent unilateral MRgFUS thalamotomy at a single institution between May 2022 and August 2024 were analyzed. Tremor severity was assessed using the Clinical Rating Scale for Tremor Part B, and the percentage improvement at 3 months after treatment was calculated as an indicator of functional recovery. Probabilistic tractography of the DRTT was performed post hoc using preoperative diffusion MRI and Bayesian modeling (BedpostX) and probabilistic tracking (ProbtrackX). The distances between the sonicated lesion as detected on postoperative MRI and each of the following were compared: indirect coordinates, nd-DRTT, and d-DRTT. Subgroup analysis was performed on patients with a peak lesion temperature ≥ 55°C. Pearson correlation was used to assess the relationships between distance metrics and clinical outcomes. RESULTS Probabilistic tractography successfully visualized the d-DRTT in all 28 patients included in the study. The d-DRTT was more lateral than both the indirect coordinate and the nd-DRTT (p < 0.01 for both), with a nonsignificant tendency for a more anterior position relative to the nd-DRTT (p = 0.054). Among the patients with a peak lesion temperature ≥ 55°C, the distance between the sonicated lesion and the d-DRTT showed a strong correlation with clinical outcomes, whereas that between the lesion and nd-DRTT showed a moderate correlation; the indirect coordinates showed no significant correlation. CONCLUSIONS Probabilistic tractography successfully visualized the d-DRTT, and its location appears to capture the “tremor-relevant” neural pathway more accurately than either the indirect coordinate or the nd-DRTT.

Abstract: Proposing a no-nonsense strategy for the treatment of dominant neurodevelopmental disorders:

Xiaochang Zhang & team introduce exon annotation for nonsense-mediated mRNA (EANMD) and report on alternatively spliced exons in the brain that trigger mRNA decay, noting modulation of such exons in disease-causal genes can potentially treat neurodevelopmental disorders.


Address correspondence to: Xiaochang Zhang, University of Chicago, Cummings Life Science Center 507A, 920 E. 58th St., Chicago, Illinois 60,637, USA. Phone: 773.834.5369; Email: [email protected].

New 3D device harnesses living brain cells for computing

Princeton researchers have combined brain cells and advanced electronics into a single 3D device that can be programmed to recognize patterns using computational techniques. Past attempts at using brain cells to do computation have relied on 2D cultures grown in a petri dish or 3D clusters that are probed and monitored from outside. The Princeton device takes a different approach, working from the inside out.

Using advanced fabrication techniques, the team created a 3D mesh made of microscopic metal wires and electrodes supported by a thin epoxy coating. Because the coating is so thin, it has just the right amount of flexibility to interface with the soft neurons that grow around it. The team used the mesh as a scaffold to culture tens of thousands of neurons into a vast 3D network that can be used to do computation.

The study was published in Nature Electronics on Apr. 23.

Cav3.1 is a neuronal leucine sensor that mediates satiety and weight loss in response to dietary protein

Online now: Tsang et al. identify the T-type calcium channel Cav3.1 as a neuronal leucine sensor in hypothalamic POMC neurons. Leucine directly binds Cav3.1, lowering its activation threshold. Loss of Cav3.1 in POMC neurons abolishes high-protein diet-induced appetite suppression, while pharmacological activation promotes weight loss and potentiates the effects of anorectic agents.

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