Immunoenzymatic Assays to Target Central and Peripheral Inflammatory Markers in Preclinical and Clinical Studies of Hepatic Encephalopathy DOI
Brener Cunha Carvalho,

Heliana de Barros Fernandes,

Antônio Lúcio Teixeira

et al.

Neuromethods, Journal Year: 2025, Volume and Issue: unknown, P. 105 - 136

Published: Jan. 1, 2025

Language: Английский

Major depressive disorder DOI
Wolfgang Marx, Brenda W.J.H. Penninx, Marco Solmi

et al.

Nature Reviews Disease Primers, Journal Year: 2023, Volume and Issue: 9(1)

Published: Aug. 24, 2023

Language: Английский

Citations

216

Post‐traumatic stress disorder: evolving conceptualization and evidence, and future research directions DOI Open Access

C. R. Brewin,

Lukoye Atwoli, Jonathan I. Bisson

et al.

World Psychiatry, Journal Year: 2025, Volume and Issue: 24(1), P. 52 - 80

Published: Jan. 15, 2025

The understanding of responses to traumatic events has been greatly influenced by the introduction diagnosis post‐traumatic stress disorder (PTSD). In this paper we review initial versions diagnostic criteria for condition and associated epidemiological findings, including sociocultural differences. We consider evidence reactions occurring in multiple contexts not previously defined as traumatic, implications that these observations have diagnosis. More recent developments such DSM‐5 dissociative subtype ICD‐11 complex PTSD are reviewed, adding there several distinct phenotypes. describe psychological foundations PTSD, involving disturbances memory well identity. A broader focus on identity may be able accommodate group communal influences experience trauma impact resource loss. then summarize current concerning biological with a particular genetic neuroimaging studies. Whereas progress prevention disappointing, is now an extensive supporting efficacy variety treatments established trauma‐focused interventions – cognitive behavior therapy (TF‐CBT) eye movement desensitization reprocessing (EMDR) non‐trauma‐focused therapies, which also include some emerging identity‐based approaches present‐centered compassion‐focused therapies. Additionally, promising neither nor pharmacological, or combine pharmacological approach, 3,4‐methylenedioxymethamphetamine (MDMA)‐assisted psychotherapy. advances priority areas adapting resource‐limited settings across cultural contexts, community‐based approaches. conclude identifying future directions work mental health.

Language: Английский

Citations

9

Advancing precision psychiatry and targeted treatments: Insights from immunopsychiatry DOI
Andrew H. Miller, Michael Berk,

Gilles Bloch

et al.

Brain Behavior and Immunity, Journal Year: 2025, Volume and Issue: 125, P. 319 - 329

Published: Jan. 18, 2025

Language: Английский

Citations

2

Functional neuroimaging as a catalyst for integrated neuroscience DOI
Emily S. Finn, Russell A. Poldrack, James M. Shine

et al.

Nature, Journal Year: 2023, Volume and Issue: 623(7986), P. 263 - 273

Published: Nov. 8, 2023

Language: Английский

Citations

37

Aggregation-Induced Emission Luminogen: Role in Biopsy for Precision Medicine DOI Creative Commons
Yanhong Duo, Lei Han, Yaoqiang Yang

et al.

Chemical Reviews, Journal Year: 2024, Volume and Issue: 124(20), P. 11242 - 11347

Published: Oct. 9, 2024

Biopsy, including tissue and liquid biopsy, offers comprehensive real-time physiological pathological information for disease detection, diagnosis, monitoring. Fluorescent probes are frequently selected to obtain adequate on processes in a rapid minimally invasive manner based their advantages biopsy. However, conventional fluorescent have been found show aggregation-caused quenching (ACQ) properties, impeding greater progresses this area. Since the discovery of aggregation-induced emission luminogen (AIEgen) promoted advancements molecular bionanomaterials owing unique high quantum yield (QY) signal-to-noise ratio (SNR),

Language: Английский

Citations

13

The definition of treatment resistance in anxiety disorders: a Delphi method‐based consensus guideline DOI Open Access
Katharina Domschke,

Patrik D. Seuling,

Miriam A. Schiele

et al.

World Psychiatry, Journal Year: 2024, Volume and Issue: 23(1), P. 113 - 123

Published: Jan. 12, 2024

Anxiety disorders are very prevalent and often persistent mental disorders, with a considerable rate of treatment resistance which requires regulatory clinical trials innovative therapeutic interventions. However, an explicit definition treatment-resistant anxiety (TR-AD) informing such is currently lacking. We used Delphi method-based consensus approach to provide internationally agreed, consistent clinically useful operational criteria for TR-AD in adults. Following summary the current state knowledge based on international guidelines available systematic review, survey free-text responses 29-item questionnaire relevant aspects TR-AD, online meeting, panel 36 multidisciplinary experts stakeholders voted anonymously written statements three rounds. Consensus was defined as ≥75% agreeing statement. The agreed set 14 recommendations providing detailed pharmacological and/or psychotherapeutic treatment, well potential staging model. also evaluated further regarding epidemiological subgroups, comorbidities biographical factors, terminology vs. "difficult-to-treat" preferences attitudes persons these future research directions. This expected serve systematic, practical guideline aid designing mechanistic studies facilitate purposes. effort could ultimately lead development more effective evidence-based stepped-care algorithms patients disorders.

Language: Английский

Citations

12

Where do neurodevelopmental conditions fit in transdiagnostic psychiatric frameworks? Incorporating a new neurodevelopmental spectrum DOI
Giorgia Michelini, Christina Carlisi, Nicholas R. Eaton

et al.

World Psychiatry, Journal Year: 2024, Volume and Issue: 23(3), P. 333 - 357

Published: Sept. 16, 2024

Features of autism spectrum disorder, attention‐deficit/hyperactivity learning disorders, intellectual disabilities, and communication motor disorders usually emerge early in life are associated with atypical neurodevelopment. These “neurodevelopmental conditions” grouped together the DSM‐5 ICD‐11 to reflect their shared characteristics. Yet, reliance on categorical diagnoses poses significant challenges both research clinical settings (e.g., high co‐occurrence, arbitrary diagnostic boundaries, within‐disorder heterogeneity). Taking a transdiagnostic dimensional approach provides useful alternative for addressing these limitations, accounting underpinnings across neurodevelopmental conditions, characterizing common co‐occurrence developmental continuity other psychiatric conditions. Neurodevelopmental features have not been adequately considered frameworks, although this would fundamental implications practices. Growing evidence from studies structure conditions indicates that cluster together, delineating spectrum” ranging normative impairing profiles. Studies genetic underpinnings, overlapping cognitive neural profiles, similar course efficacy support/treatment strategies indicate validity spectrum. Further, alongside dimensions has utility, as it fuller view an individual's needs strengths, greater prognostic utility than categories. Based compelling body evidence, we argue incorporating new into frameworks considerable potential transforming our understanding, classification, assessment, practices around

Language: Английский

Citations

12

Sensitivity-Enhancing Strategies of Graphene Field-Effect Transistor Biosensors for Biomarker Detection DOI
Weilong Zhao, Wenhong Zhang, Jun Chen

et al.

ACS Sensors, Journal Year: 2024, Volume and Issue: 9(6), P. 2705 - 2727

Published: June 6, 2024

The ultrasensitive recognition of biomarkers plays a crucial role in the precise diagnosis diseases. Graphene-based field-effect transistors (GFET) are considered most promising devices among next generation biosensors. GFET biosensors possess distinct advantages, including label-free, ease integration and operation, ability to directly detect liquid environments. This review summarized recent advances for biomarker detection, with focus on interface functionalization. Various sensitivity-enhancing strategies have been overviewed biosensors, from perspective optimizing graphene synthesis transfer methods, refinement surface functionalization channel layer gate electrode, design biorecognition elements reduction nonspecific adsorption. Further, this extensively explores functionalized antibodies, aptamers, enzymes. It delves into employed detection various diseases (such as cancer, cardiovascular diseases, neurodegenerative disorders, infectious viruses, etc.) along their application integrated microfluidic systems. Finally, issues challenges modulation biosensing interfaces faced by detecting biomarkers.

Language: Английский

Citations

11

Wavelet Transform, Reconstructed Phase Space, and Deep Learning Neural Networks for EEG-Based Schizophrenia Detection DOI
Amjed Al Fahoum,

Ala’a Zyout

International Journal of Neural Systems, Journal Year: 2024, Volume and Issue: 34(09)

Published: May 17, 2024

This study proposes an innovative expert system that uses exclusively EEG signals to diagnose schizophrenia in its early stages. For diagnosing psychiatric/neurological disorders, electroencephalogram (EEG) testing is considered a financially viable, safe, and reliable alternative. Using the reconstructed phase space (RPS) continuous wavelet transform, researchers maximized differences between nonstationary of normal individuals, which cannot be observed time, frequency, or time-frequency domains. reveals significant information, highlighting more distinguishable features. Then, deep learning network was trained enhance accuracy resulting image classification. The algorithm's efficacy confirmed through three distinct methods: employing 70% dataset for training, 15% validation, remaining testing. followed by 5-fold cross-validation technique leave-one-out classification approach. Each method iterated 100 times ascertain robustness. performance metrics derived from these tests - accuracy, precision, sensitivity, F1 score, Matthews correlation coefficient, Kappa indicated remarkable outcomes. algorithm demonstrated steady across all evaluation strategies, underscoring relevance reliability. outcomes validate system's robustness showcasing capability autonomously differentiate individuals diagnosed with those state health.

Language: Английский

Citations

10

AI in Neuroimaging and Brain Analysis DOI
Aashish A. Gadgil,

P. Selvakumar,

G. Sabeena Gnanaselvi

et al.

Advances in psychology, mental health, and behavioral studies (APMHBS) book series, Journal Year: 2025, Volume and Issue: unknown, P. 185 - 212

Published: Jan. 3, 2025

The integration of AI in neuroimaging offers unprecedented opportunities to enhance our understanding the brain, improve diagnostic accuracy, and personalize treatment strategies for neurological disorders. This capability is particularly significant given increasing volume complexity data generated by modalities such as MRI, CT, PET, EEG. As algorithms evolve, they are not only enhancing image quality acquisition processes but also aiding development biomarkers various conditions. can lead earlier diagnosis intervention, which crucial managing progressive Moreover, AI-driven approaches streamline workflow clinical settings, reducing burden on radiologists enabling more efficient patient management. Despite these opportunities, incorporation presents challenges. Data privacy security paramount concerns, especially when dealing with sensitive information.

Language: Английский

Citations

1