Large-scale coupling of prefrontal activity patterns as a mechanism for cognitive control in health and disease: evidence from rodent models DOI Creative Commons
Ignacio Negrón-Oyarzo,

Tatiana Dib,

Lorena Chacana-Véliz

et al.

Frontiers in Neural Circuits, Journal Year: 2024, Volume and Issue: 18

Published: April 4, 2024

Cognitive control of behavior is crucial for well-being, as allows subject to adapt changing environments in a goal-directed way. Changes cognitive observed during decline elderly and pathological mental conditions. Therefore, the recovery may provide reliable preventive therapeutic strategy. However, its neural basis not completely understood. supported by prefrontal cortex, structure that integrates relevant information appropriate organization behavior. At neurophysiological level, it suggested local large-scale synchronization oscillatory activity patterns spiking between cortex distributed networks. In this review, we focus mainly on rodent models approaching neuronal origin these patterns, behavioral relevance coordination with brain systems. We also examine relationship role normal Finally, based body evidence, propose common mechanism underlie impaired

Language: Английский

An interpretable framework for gastric cancer classification using multi-channel attention mechanisms and transfer learning approach on histopathology images DOI Creative Commons
Muhammad Zubair, Muhammad Owais, Taimur Hassan

et al.

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: April 16, 2025

Abstract The importance of gastric cancer (GC) and the role deep learning techniques in categorizing GC histopathology images have recently increased. Identifying drawbacks traditional models, including lack interpretability, inability to capture complex patterns, adaptability, sensitivity noise. A multi-channel attention mechanism-based framework is proposed that can overcome limitations conventional models by dynamically focusing on relevant features, enhancing extraction, capturing relationships medical data. uses three different mechanism channels convolutional neural networks extract multichannel features during classification process. framework’s strong performance confirmed competitive experiments conducted a publicly available Gastric Histopathology Sub-size Image Database, which yielded remarkable accuracies 99.07% 98.48% validation testing sets, respectively. Additionally, HCRF dataset, achieved high accuracy 99.84% 99.65% effectiveness interchangeability are further ablation experiments, highlighting histopathological image tasks. This offers an advanced pragmatic artificial intelligence solution addresses challenges posed unique characteristics for intricate analysis. approach engineering demonstrates significant potential diagnostic precision achieving treatment outcomes.

Language: Английский

Citations

0

Reliability of Brain Localization Using Task-based fMRI for Late-life Depression with Suicidal Risk DOI
Ai‐Ling Hsu, Changwei W. Wu, Chih‐Mao Huang

et al.

Journal of Psychiatric Research, Journal Year: 2025, Volume and Issue: 187, P. 10 - 17

Published: April 29, 2025

Language: Английский

Citations

0

Molecular cascades and cell-type specific signatures in ASD revealed by single cell genomics DOI Open Access
Brie Wamsley, Lucy Bicks, Yuyan Cheng

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2023, Volume and Issue: unknown

Published: March 10, 2023

Understanding how genetic variation exerts its effects on the human brain in health and disease has been greatly informed by functional genomic characterization. Studies over last decade have demonstrated robust evidence of convergent transcriptional epigenetic profiles post-mortem cerebral cortex from individuals with Autism Spectrum Disorder (ASD). Here, we perform deep single nuclear (sn) RNAseq to elucidate changes cell composition, cellular transcriptomes putative candidate drivers associated ASD, which corroborate using snATAC-seq spatial profiling. We find state composition representing transitions homeostatic reactive microglia astrocytes, a pattern extending oligodendrocytes blood barrier cells. identify profound differential expression involving thousands genes across neuronal glial subtypes, substantial portion can be accounted for specific transcription factor networks that are significantly enriched common rare risk ASD. These data, available as part PsychENCODE consortium, provide causal anchors resultant molecular phenotypes understanding ASD brain.

Language: Английский

Citations

9

Ventral targeted anterior capsulotomy for treatment-resistant depression and obsessive-compulsive disorder: A treatment method with cases DOI Creative Commons
Trevor A. Hurwitz,

Josué M. Avecillas-Chasín,

Nicholas M. Bogod

et al.

Journal of Affective Disorders, Journal Year: 2024, Volume and Issue: 350, P. 887 - 894

Published: Jan. 23, 2024

Ablative surgery using bilateral anterior capsulotomy (BAC) is an option for treatment resistant depression (TRD) and obsessive-compulsive disorder (TROCD). The location extent of the lesion within limb internal capsule (ALIC) remains uncertain. Accumulating evidence has suggested that should be located ventrally while limiting dorsal extent. Our center now targeting specific fiber tracts lower half ALIC. Presurgical diffusion tensor Magnetic Resonance Imaging (MRI) was used to identify individual fibre ventral aspect ALIC in last two patients who underwent BAC at our center. One patient had TRD other both TROCD TRD. Radiofrequency-induced thermal lesions were created identified targets with volumes between 20 229 mm3 (average 95 mm3). Both responders neither experiencing significant side effects including compromised executive functions. generalizability findings limited because outcome based on subjects. This work suggests can individually tailored more effective safe TROCD. data also clinically length about 10mm. BAC's use may increase growing utilization mastery magnetic resonance guided focused ultrasound.

Language: Английский

Citations

3

Large-scale coupling of prefrontal activity patterns as a mechanism for cognitive control in health and disease: evidence from rodent models DOI Creative Commons
Ignacio Negrón-Oyarzo,

Tatiana Dib,

Lorena Chacana-Véliz

et al.

Frontiers in Neural Circuits, Journal Year: 2024, Volume and Issue: 18

Published: April 4, 2024

Cognitive control of behavior is crucial for well-being, as allows subject to adapt changing environments in a goal-directed way. Changes cognitive observed during decline elderly and pathological mental conditions. Therefore, the recovery may provide reliable preventive therapeutic strategy. However, its neural basis not completely understood. supported by prefrontal cortex, structure that integrates relevant information appropriate organization behavior. At neurophysiological level, it suggested local large-scale synchronization oscillatory activity patterns spiking between cortex distributed networks. In this review, we focus mainly on rodent models approaching neuronal origin these patterns, behavioral relevance coordination with brain systems. We also examine relationship role normal Finally, based body evidence, propose common mechanism underlie impaired

Language: Английский

Citations

3