Deep Brain Stimulation in the Bed Nucleus of Stria Terminalis and Medial Forebrain Bundle in Two Patients With Treatment‐Resistant Depression and Generalized Anxiety Disorder—A Long‐Term Follow‐Up DOI Creative Commons
Matilda Naesström, Patric Blomstedt, Viktoria Johansson

et al.

Clinical Case Reports, Journal Year: 2025, Volume and Issue: 13(2)

Published: Feb. 1, 2025

ABSTRACT This case report presents positive outcomes from deep brain stimulation (DBS) targeting the bed nucleus of stria terminalis (BNST) in two patients with treatment‐resistant depression and generalized anxiety disorder. DBS effects medial forebrain bundle (MFB) area were unclear. Further research into DBS's efficacy when comorbid is present required.

Language: Английский

Artificial Intelligence Can Generate Fraudulent but Authentic-Looking Scientific Medical Articles: Pandora’s Box Has Been Opened DOI Creative Commons
Martin Májovský, Martin Černý, Matěj Kasal

et al.

Journal of Medical Internet Research, Journal Year: 2023, Volume and Issue: 25, P. e46924 - e46924

Published: May 3, 2023

Background Artificial intelligence (AI) has advanced substantially in recent years, transforming many industries and improving the way people live work. In scientific research, AI can enhance quality efficiency of data analysis publication. However, also opened up possibility generating high-quality fraudulent papers that are difficult to detect, raising important questions about integrity research trustworthiness published papers. Objective The aim this study was investigate capabilities current language models medical articles. We hypothesized modern create highly convincing easily deceive readers even experienced researchers. Methods This proof-of-concept used ChatGPT (Chat Generative Pre-trained Transformer) powered by GPT-3 (Generative Transformer 3) model generate a article related neurosurgery. is large developed OpenAI uses deep learning algorithms human-like text response prompts given users. trained on massive corpus from internet capable variety languages various topics. authors posed refined them iteratively as generated responses. goal completely fabricated including abstract, introduction, material methods, discussion, references, charts, etc. Once generated, it reviewed for accuracy coherence experts fields neurosurgery, psychiatry, statistics compared existing similar Results found resembled genuine paper terms word usage, sentence structure, overall composition. AI-generated included standard sections such results, well sheet. It consisted 1992 words 17 citations, whole process creation took approximately 1 hour without any special training human user. there were some concerns specific mistakes identified article, specifically references. Conclusions demonstrates potential Although look sophisticated seemingly flawless, expert may identify semantic inaccuracies errors upon closer inspection. highlight need increased vigilance better detection methods combat misuse research. At same time, recognize benefits using writing manuscript preparation editing.

Language: Английский

Citations

191

Mobile cognition: imaging the human brain in the ‘real world’ DOI
Matthias Stangl, Sabrina L. Maoz, Nanthia Suthana

et al.

Nature reviews. Neuroscience, Journal Year: 2023, Volume and Issue: 24(6), P. 347 - 362

Published: April 12, 2023

Language: Английский

Citations

99

Accelerated TMS - moving quickly into the future of depression treatment DOI Creative Commons
Sanne J.H. van Rooij,

Amanda R. Arulpragasam,

William M. McDonald

et al.

Neuropsychopharmacology, Journal Year: 2023, Volume and Issue: 49(1), P. 128 - 137

Published: May 22, 2023

Abstract Accelerated TMS is an emerging application of Transcranial Magnetic Stimulation (TMS) aimed to reduce treatment length and improve response time. Extant literature generally shows similar efficacy safety profiles compared the FDA-cleared protocols for treat major depressive disorder (MDD), yet accelerated research remains at a very early stage in development. The few applied have not been standardized vary significantly across set core elements. In this review, we consider nine elements that include parameters (i.e., frequency inter-stimulation interval), cumulative exposure number days, sessions per day, pulses session), individualized target dose), brain state context concurrent treatments). Precisely which these critical what are most optimal MDD unclear. Other important considerations durability effect, as doses increase over time, possibility advantage functional neuronavigation, use biological readouts, accessibility patients need treatment. Overall, appears hold promise time achieve rapid reduction symptoms, but significant work be done. Rigorous clinical trials combining outcomes neuroscientific measures such electroencephalogram, magnetic resonance imaging e-field modeling needed define future MDD.

Language: Английский

Citations

48

Neurobiological basis of stress resilience DOI
Eric J. Nestler, Scott J. Russo

Neuron, Journal Year: 2024, Volume and Issue: 112(12), P. 1911 - 1929

Published: May 24, 2024

Language: Английский

Citations

27

Translation of neurotechnologies DOI
Gerwin Schalk, Peter Brunner, Brendan Z. Allison

et al.

Nature Reviews Bioengineering, Journal Year: 2024, Volume and Issue: 2(8), P. 637 - 652

Published: May 31, 2024

Language: Английский

Citations

16

Clinically probable RBD is an early predictor of malignant non-motor Parkinson’s disease phenotypes DOI Creative Commons
Alfonso Enrique Martinez-Nunez,

Hunter Hutchinson,

Patricia Coutinho

et al.

npj Parkinson s Disease, Journal Year: 2025, Volume and Issue: 11(1)

Published: Jan. 29, 2025

Non-motor symptoms (NMS) in Parkinson's disease (PD) significantly impact quality of life, especially later stages. REM sleep behavior disorder (RBD) affects approximately 42% all PD patients and frequently precedes motor symptoms. RBD is linked to increased rates depression cognitive decline. This study explores how early can predict the development NMS profiles patients, comparing those with without RBD. We identified a unique profile associated These had higher rate impairment (M2 = 326.84, p < 0.001), apathy 332.93, hallucinations 480.05, 0.0001), anxiety (corrected 0.01), impulse control disorders 77.577, autonomic dysfunction (F 251.8, 0001). A survival analysis revealed an association between faster progression impairment. may play critical role stratifying for targeted interventions.

Language: Английский

Citations

2

The future of brain circuit-targeted therapeutics DOI
Shan Siddiqi, Sanaz Khosravani, John D. Rolston

et al.

Neuropsychopharmacology, Journal Year: 2023, Volume and Issue: 49(1), P. 179 - 188

Published: July 31, 2023

Language: Английский

Citations

28

Bridging Minds and Machines: The Recent Advances of Brain-Computer Interfaces in Neurological and Neurosurgical Applications DOI Creative Commons
Wireko Andrew Awuah, Arjun Ahluwalia, Kwadwo Darko

et al.

World Neurosurgery, Journal Year: 2024, Volume and Issue: 189, P. 138 - 153

Published: May 22, 2024

Brain-computer interfaces (BCIs), a remarkable technological advancement in neurology and neurosurgery, mark significant leap since the inception of electroencephalography 1924. These effectively convert central nervous system signals into commands for external devices, offering revolutionary benefits to patients with severe communication motor impairments due myriad neurological conditions like stroke, spinal cord injuries, neurodegenerative disorders. BCIs enable these individuals communicate interact their environment, using brain operate environmental control. This technology is especially crucial those completely locked in, providing lifeline where other methods fall short. The advantages are profound, autonomy an improved quality life disabilities. They allow direct interaction various devices prostheses, bypassing damaged or nonfunctional neural pathways. However, challenges persist, including complexity accurately interpreting signals, need individual calibration, ensuring reliable, long-term use. Additionally, ethical considerations arise regarding autonomy, consent, potential dependence on technology. Despite challenges, represent transformative development neurotechnology, promising enhanced patient outcomes deeper understanding brain-machine interfaces.

Language: Английский

Citations

14

Elevating the field for applying neuroimaging to individual patients in psychiatry DOI Creative Commons
David R. Roalf, Martijn Figee, Desmond J. Oathes

et al.

Translational Psychiatry, Journal Year: 2024, Volume and Issue: 14(1)

Published: Feb. 10, 2024

Abstract Although neuroimaging has been widely applied in psychiatry, much of the exuberance decades past tempered by failed replications and a lack definitive evidence to support utility imaging inform clinical decisions. There are multiple promising ways forward demonstrate relevance for psychiatry at individual patient level. Ultra-high field magnetic resonance is developing as sensitive measure neurometabolic processes particular that holds promise new way characterize abnormalities well variability response treatment. Neuroimaging may also be particularly suited science brain stimulation interventions given can both targeting changes circuit communication function how effectively improve symptoms. We argue greater focus on data will pave stronger care psychiatry. stress importance using symptom-relevant experimental manipulations best demonstrated pairing with differential treatment prediction outcome measurement. The priorities shifting, which compels solidify patients over exploratory associations biomarkers ultimately fail replicate.

Language: Английский

Citations

10

Novel rapid treatment options for adolescent depression DOI Creative Commons
Sandra Ledesma‐Corvi, Jordi Jornet-Plaza, Laura Gálvez‐Melero

et al.

Pharmacological Research, Journal Year: 2024, Volume and Issue: 201, P. 107085 - 107085

Published: Feb. 2, 2024

There is an urgent need for novel fast-acting antidepressants adolescent treatment-resistant depression and/or suicidal risk, since the selective serotonin reuptake inhibitors that are clinically approved age (i.e., fluoxetine or escitalopram) take weeks to work. In this context, one of main research lines our group characterize at preclinical level approaches rapid-acting adolescence. The present review summarizes potential use in adolescence non-pharmacological options, such as neuromodulators (electroconvulsive therapy and other innovative types brain stimulation), well pharmacological including consciousness-altering drugs (mainly ketamine but also classical psychedelics) cannabinoids cannabidiol), with promising responses. Following a brief analytical explanation depression, we general introduction each therapeutical approach together clinical evidence supporting its beneficial extrapolated from prior successful examples adults), then report recent ongoing studies will aid improving inclusion these therapies clinic, by considering sex-, age-, dose-related differences, factors might affect efficacy long-term safety. Finally, conclude providing future avenues maximize treatment response, more importance designing testing options safe depression.

Language: Английский

Citations

9