Interpersonal neural synchrony and mental disorders: unlocking potential pathways for clinical interventions

Frontiers in Neuroscience, Journal Year: 2024, Volume and Issue: 18

Published: March 11, 2024

Introduction Interpersonal synchronization involves the alignment of behavioral, affective, physiological, and brain states during social interactions. It facilitates empathy, emotion regulation, prosocial commitment. Mental disorders characterized by interaction dysfunction, such as Autism Spectrum Disorder (ASD), Reactive Attachment (RAD), Social Anxiety (SAD), often exhibit atypical with others across multiple levels. With introduction “second-person” neuroscience perspective, our understanding interpersonal neural (INS) has improved, however, so far, it hardly impacted development novel therapeutic interventions. Methods To evaluate potential INS-based treatments for mental disorders, we performed two systematic literature searches identifying studies that directly target INS through neurofeedback (12 publications; 9 independent studies) or stimulation techniques (7 studies), following PRISMA guidelines. In addition, narratively review indirect manipulations biofeedback, hormonal We discuss ASD, RAD, SAD using a database search assess acceptability (4 neurostimulation in patients dysfunction. Results Although behavioral approaches, engaging eye contact cooperative actions, have been shown to be associated increased INS, little is known about long-term consequences Few proof-of-concept utilized techniques, like transcranial direct current neurofeedback, showing feasibility preliminary evidence interventions can boost synchrony connectedness. Yet, optimal protocols parameters are still undefined. For SAD, far no randomized controlled trial proven efficacy intervention although general methods seem well accepted these patient groups. Discussion Significant work remains translate into effective disorders. Future research should focus on mechanistic insights technological advancements, rigorous design standards. Furthermore, will key compare targeting those other modalities define dyads clinical

Language: Английский

---

qMRI-BIDS: An extension to the brain imaging data structure for quantitative magnetic resonance imaging data

Scientific Data, Journal Year: 2022, Volume and Issue: 9(1)

Published: Aug. 24, 2022

The Brain Imaging Data Structure (BIDS) established community consensus on the organization of data and metadata for several neuroimaging modalities. Traditionally, BIDS had a strong focus functional magnetic resonance imaging (MRI) datasets lacked guidance how to store multimodal structural MRI datasets. Here, we present describe Extension Proposal 001 (BEP001), which adds range quantitative (qMRI) applications BIDS. In general, aim qMRI is characterize brain microstructure by quantifying physical MR parameters tissue via computational, biophysical models. By proposing this new standard, envision standardization through multicenter dissemination interoperable This way, can act as catalyst convergence between methods development application-driven studies that help develop biomarkers neural characterization. conclusion, extension offers common ground developers exchange novel tools, reducing entrance barrier in field neuroimaging.

Language: Английский

---

Reviewing the progress of cancer research in the USA

World Journal of Biology Pharmacy and Health Sciences, Journal Year: 2024, Volume and Issue: 17(2), P. 068 - 079

Published: Feb. 9, 2024

This review provides a comprehensive analysis of the progress made in cancer research within United States. Over past few decades, significant strides have been taken to understand complexities cancer, leading breakthroughs diagnostics, treatment modalities, and overall patient care. The explores key themes, including advancements genomic medicine, immunotherapy, personalized approaches. Advancements medicine emerged as cornerstone research, allowing for deeper understanding genetic basis various cancers. integration precision techniques has facilitated identification specific mutations, paving way targeted therapies tailored individual patients. Genomic profiling not only enhanced diagnostic accuracy but also provided valuable insights into heterogeneity, guiding researchers toward more effective strategies. Immunotherapy revolutionized by harnessing body's immune system target eliminate cells. delves remarkable developing checkpoint inhibitors, adoptive cell therapies, vaccines. These innovations shown unprecedented success treating previously challenging malignancies, offering new hope patients with advanced-stage concept is further explored, emphasizing shift from one-size-fits-all approach tailoring treatments based on characteristics. advent liquid biopsies advanced imaging enabled real-time monitoring responses, facilitating timely adjustments improving outcomes. Despite these advancements, acknowledges persistent challenges, such need collaboration between institutions, imperative increased funding, importance addressing healthcare disparities ongoing commitment interdisciplinary translational initiatives, patient-centered emphasized essential overcoming challenges propelling field USA. In conclusion, this paints picture insights, immunotherapeutic breakthroughs, approaches underscores promising future patients, while acknowledging necessity continued efforts address existing propel even greater advancements.

Language: Английский

---

Brain health measurement: a scoping review

BMJ Open, Journal Year: 2024, Volume and Issue: 14(2), P. e080334 - e080334

Published: Feb. 1, 2024

Objectives Preservation of brain health is an urgent priority for the world’s ageing population. The evidence base optimisation strategies rapidly expanding, but clear recommendations have been limited by heterogeneity in measurement outcomes. We performed a scoping review to systematically evaluate scientific literature date, informing development core outcome set. Design Scoping review. Data sources Medline, APA PsycArticles and Embase were searched through until 25 January 2023. Eligibility criteria selecting studies Studies included if they described evaluation methods sufficient detail human adults English language. extraction synthesis Two reviewers independently screened titles, abstracts full texts inclusion extracted data using Covidence software. Results From 6987 articles identified search, 727 met criteria. Study publication increased 22 times last decade. Cohort study was most common design (n=609, 84%). 479 unique measuring identified, comprising imaging, cognitive, mental health, biological clinical categories. Seven top 10 frequently used imaging based, including structural grey matter hippocampal volumes white hyperintensities. Cognitive tests such as trail making test accounted 286 (59.7%) all methods. Conclusions surrounding has exponentially, yet are highly heterogeneous across which may explain lack translation. Future should aim develop selected group measures that be aid interstudy comparison (core set), broaden from current focus on neuroimaging outcomes include range

Language: Английский

---

Fundamentals on transparency, reproducibility, and validation

Elsevier eBooks, Journal Year: 2025, Volume and Issue: unknown, P. 155 - 176

Published: Jan. 1, 2025

Language: Английский

---

Reproducibility in medical image computing: what is it and how is it assessed?

Elsevier eBooks, Journal Year: 2025, Volume and Issue: unknown, P. 177 - 204

Published: Jan. 1, 2025

Language: Английский

---

Current Neuroinnovative Techniques With Machine Learning Algorithms in the Diagnosis and Classification of Neurodegenerative Diseases

Advances in computational intelligence and robotics book series, Journal Year: 2025, Volume and Issue: unknown, P. 61 - 90

Published: Jan. 10, 2025

Neurodegenerative diseases are one of the most debilitating associated with progressive neuronal dysfunction and protein accumulation. The increasing prevalence Alzheimer's disease (AD), Parkinson's (PD), amyotrophic lateral sclerosis (ALS) in population is leading to development neuroinnovative techniques for early recognition, classification treatment. Various computer-aided software programs based on machine learning (ML) studies have been developed recent decades medical scope. ML a branch artificial intelligence that recognizes models different data sets algorithms. Different disciplines such as neural networks, support vector machines, Decision Trees, Random Forests, logistic regression, k-Nearest Neighbor multi-layer perceptron, Neural Networks, Gaussian Mixture Models, Boosting methods introduced neurology. This section will discuss neuropathological neuroradiological evaluation AD, PD, ALS, ML-based modeling algorithms used diagnosing so far.

Language: Английский

---

MRI acquisition and reconstruction cookbook: recipes for reproducibility, served with real-world flavour

Magnetic Resonance Materials in Physics Biology and Medicine, Journal Year: 2025, Volume and Issue: unknown

Published: March 6, 2025

MRI acquisition and reconstruction research has transformed into a computation-driven field. As methods become more sophisticated, compute-heavy, data-hungry, efforts to reproduce them difficult. While the computational community made great leaps toward reproducible science, there are few tailored guidelines or standards for users follow. In this review article, we develop cookbook facilitate reconstruction. Like any good cookbook, list several recipes, each providing basic standard on how make reproducible. And like cooking, show example flavours where reproducibility may fail due under-specification. We structure so that itself serves as an of by sequence definitions well data experimental results in figures. also propose community-driven effort compile evolving best practices making

Language: Английский

---

Unraveling neural underpinnings of eating disorders in the female brain: insights from high-field magnetic resonance imaging

American Journal of Clinical Nutrition, Journal Year: 2025, Volume and Issue: unknown

Published: March 1, 2025

Language: Английский

---

Ten principles for reliable, efficient, and adaptable coding in psychology and cognitive neuroscience

Communications Psychology, Journal Year: 2025, Volume and Issue: 3(1)

Published: April 15, 2025

Abstract Writing code is becoming essential for psychology and neuroscience research, supporting increasingly advanced experimental designs, processing of ever-larger datasets easy reproduction scientific results. Despite its critical role, coding remains challenging many researchers, as it typically not part formal academic training. We present a range practices tailored to different levels programming experience, from beginners users. Our ten principles help researchers streamline automate their projects, reduce human error, improve the quality reusability code. For principal investigators, we highlight benefits fostering collaborative environment that values sharing. Maintaining basic standards quality, reusability, shareability increasing trustworthiness reliability research in cognitive neuroscience.

Language: Английский

---