A sensitivity analysis of preprocessing pipelines: Toward a solution for multiverse analyses.

Being able to aggregate results from many acceptable data analysis pipelines (multiverse analyses) is a desirable feature in almost all aspects of imaging neuroscience. This is because multiple noise sources may contaminate the acquired imaging data, and different pipelines will attenuate or remove those noise source effects differentially. Here, we used multiple preprocessing pipelines that are known to impact the final results and conclusions of Positron Emission Tomography (PET) neuroimaging studies significantly.

Can I have your data? Recommendations and practical tips for sharing neuroimaging data upon a direct personal request.

Sharing neuroimaging data upon a direct personal request can be challenging both for researchers who request the data and for those who agree to share their data. Unlike sharing through repositories under standardized protocols and data use/sharing agreements, each party often needs to negotiate the terms of sharing and use of data case by case. This negotiation unfolds against a complex backdrop of ethical and regulatory requirements along with technical hurdles related to data transfer and management.

Molecular connectivity studies in neurotransmission: a scoping review.

Positron emission tomography (PET) and single photon emission computed tomography (SPECT) are essential molecular imaging tools for the in vivo investigation of neurotransmission. Traditionally, PET and SPECT images are analysed in a univariate manner, testing for changes in radiotracer binding in regions or voxels of interest independently of each other. Over the past decade, there has been an increasing interest in the so-calledapproach that captures relationships of molecular imaging measures in different brain regions.

Associations of serotonin-related brain morphology in early adolescence with behavioral and emotional problems.

We aimed to investigate the association of brain morphology with behavioral and emotional problems in early adolescence using a brain atlas of the serotonin system. This pre-registered study used data from the Generation R Study, a large birth cohort in Rotterdam, the Netherlands. A total of 2492 children were included at age 10 years, with neuroimaging data and self-reported behavioral and emotional problems.

Near-field refractometry of van der Waals crystals.

Common techniques for measuring refractive indices, such as ellipsometry and goniometry, are ineffective for van der Waals crystal flakes because of their high anisotropy and small, micron-scale, lateral size. To address this, we employ near-field optical microscopy to analyze the guided optical modes within these crystals. By probing these modes in MoS flakes with subwavelength spatial resolution at a wavelength of 1,570 nm, we determine both the in-plane and out-of-plane permittivity components of MoS as 16.

Frontostriatal salience network expands as executive networks contract in Obsessive-Compulsive Disorder.

Obsessive-compulsive disorder (OCD), marked by intrusive thoughts (obsessions) and repetitive behaviours (compulsions), is linked to dysfunction in frontostriatal circuits. However, neural differences potentially contributing to these alterations are often small, and conflicting evidence obscures the directionality and underlying mechanisms of these alterations. Like many psychiatric conditions, OCD follows a fluctuating symptom trajectory, with symptoms shifting dramatically over months-either naturally or due to treatment.

Building Multivariate Molecular Imaging Brain Atlases Using the NeuroMark PET Independent Component Analysis Framework.

Molecular imaging analyses using positron emission tomography (PET) data often rely on macro-anatomical regions of interest (ROI), which may not align with chemo-architectural boundaries and obscure functional distinctions. While methods such as independent component analysis (ICA) have been useful to address this limitation, the fully data-driven nature can make it challenging to compare results across studies. Here, we introduce the NeuroMark PET approach, utilizing spatially constrained independent component analysis to define overlapping regions that may reflect the brain's molecular architecture.

[C]PS13 Demonstrates Pharmacologically Selective and Substantial Binding to Cyclooxygenase-1 in the Human Brain.

Our laboratory recently developed [C]PS13 as a PET radioligand to selectively measure cyclooxygenase-1 (COX-1). The cyclooxygenase enzyme family converts arachidonic acid into prostaglandins and thromboxanes, which mediate inflammation. The total brain uptake of [C]PS13, which is composed of both specific binding and background uptake, can be accurately quantified with gold standard methods of compartmental modeling.

Quality assessment and control of unprocessed anatomical, functional, and diffusion MRI of the human brain using .

Quality control of MRI data prior to preprocessing is fundamental, as substandard data are known to increase variability spuriously. Currently, no automated or manual method reliably identifies subpar images, given pre-specified exclusion criteria. In this work, we propose a protocol describing how to carry out the visual assessment of T1-weighted, T2-weighted, functional, and diffusion MRI scans of the human brain with the visual reports generated by .

Important findings of a technology-assisted in-home music-based intervention for individuals with stroke: a small feasibility study.

Purpose: To examine the feasibility of stroke survivors receiving music-based rehabilitation a mobile app.

Materials And Methods: We recruited ten chronic stroke survivors who were community-dwelling with mild-moderate upper extremity (UE) paresis. Participants were encouraged to exercise their paretic UE with a commercial instrument training app, Yousician, with a piano keyboard at home for three weeks.

Surviving cardiac arrest from severe metformin-associated lactic acidosis using extracorporeal membrane oxygenation and double continuous venovenous haemodialysis.

Metformin-associated lactic acidosis (MALA) is a serious condition with high mortality. This case describes a man in the mid-60s with diabetes mellitus type 2 treated with metformin developing MALA 4 days after coronary stenting for non-ST-elevation myocardial infarction. He presented acutely with severe abdominal pain, a lactate of 19 mmol/L and pH 6.

Representing melodic relationships using network science.

Music is a complex system consisting of many dimensions and hierarchically organized information-the organization of which, to date, we do not fully understand. Network science provides a powerful approach to representing such complex systems, from the social networks of people to modelling the underlying network structures of different cognitive mechanisms. In the present research, we explored whether network science methodology can be extended to model the melodic patterns underlying expert improvised music.

Linked auditory and motor patterns in the improvisation vocabulary of an artist-level jazz pianist.

Improvising musicians possess a stored library of musical patterns forming the basis for their improvisations. According to a prominent theoretical framework by Pressing (1988), this library includes linked auditory and motor information. Though examples of libraries of melodic patterns have been shown in extant recordings by some improvising musicians, the underlying motor component has not been experimentally investigated nor related to its auditory counterparts.

Correspondence between gene expression and neurotransmitter receptor and transporter density in the human brain.

Neurotransmitter receptors modulate signaling between neurons. Thus, neurotransmitter receptors and transporters play a key role in shaping brain function. Due to the lack of comprehensive neurotransmitter receptor/transporter density datasets, microarray gene expression measuring mRNA transcripts is often used as a proxy for receptor densities.

PET-BIDS, an extension to the brain imaging data structure for positron emission tomography.

The Brain Imaging Data Structure (BIDS) is a standard for organizing and describing neuroimaging datasets, serving not only to facilitate the process of data sharing and aggregation, but also to simplify the application and development of new methods and software for working with neuroimaging data. Here, we present an extension of BIDS to include positron emission tomography (PET) data, also known as PET-BIDS, and share several open-access datasets curated following PET-BIDS along with tools for conversion, validation and analysis of PET-BIDS datasets.

Characterisation of Children's Head Motion for Magnetic Resonance Imaging With and Without General Anaesthesia.

Head motion is one of the major reasons for artefacts in Magnetic Resonance Imaging (MRI), which is especially challenging for children who are often intimidated by the dimensions of the MR scanner. In order to optimise the MRI acquisition for children in the clinical setting, insights into children's motion patterns are essential. In this work, we analyse motion data from 61 paediatric patients.

Expert musical improvisations contain sequencing biases seen in language production.

Language production involves action sequencing to produce fluent speech in real time, placing a computational burden on working memory that leads to sequencing biases in production. Here we examine whether these biases extend beyond language to constrain one of the most complex human behaviors: music improvisation. Using a large corpus of improvised solos from eminent jazz musicians, we test for a production bias observed in language termed -a tendency for more accessible sequences to occur at the beginning of a phrase, allowing incremental planning later in the same phrase.

Functional network connectivity during Jazz improvisation.

One of the most complex forms of creativity is musical improvisation where new music is produced in real time. Brain behavior during music production has several dimensions depending on the conditions of the performance. The expression of creativity is suspected to be different whether novel ideas must be externalized using a musical instrument or can be imagined internally.

Centering inclusivity in the design of online conferences-An OHBM-Open Science perspective.

As the global health crisis unfolded, many academic conferences moved online in 2020. This move has been hailed as a positive step towards inclusivity in its attenuation of economic, physical, and legal barriers and effectively enabled many individuals from groups that have traditionally been underrepresented to join and participate. A number of studies have outlined how moving online made it possible to gather a more global community and has increased opportunities for individuals with various constraints, e.

Automated segmentation of deep brain nuclei using convolutional neural networks and susceptibility weighted imaging.

The advent of susceptibility-sensitive MRI techniques, such as susceptibility weighted imaging (SWI), has enabled accurate in vivo visualization and quantification of iron deposition within the human brain. Although previous approaches have been introduced to segment iron-rich brain regions, such as the substantia nigra, subthalamic nucleus, red nucleus, and dentate nucleus, these methods are largely unavailable and manual annotation remains the most used approach to label these regions. Furthermore, given their recent success in outperforming other segmentation approaches, convolutional neural networks (CNN) promise better performances.

Online Involvement for Georgia Student Teachers During Covid-19.

As concerns about Covid-19 rapidly escalated in March 2020 in the United States, all levels of education were impacted. A unique population (student teachers) faced challenges from two perspectives: as students and as teachers forced to teach and learn from a distance. Student Teachers, or preservice teachers (PST), are university students finishing a degree and/or teacher certification program by serving as an intern in a school setting.