98%
921
2 minutes
20
Evidence of whether the intrinsic functional connectivity of anterior cingulate cortex (ACC) and its subregions is altered in major depressive disorder (MDD) remains inconclusive. A systematic review and meta-analysis were therefore performed on the whole-brain resting-state functional connectivity (rsFC) studies using the ACC and its subregions as seed regions in MDD, in order to draw more reliable conclusions. Forty-four ACC-based rsFC studies were included, comprising 25 subgenual ACC-based studies, 11 pregenual ACC-based studies, and 17 dorsal ACC-based studies. Specific alterations of rsFC were identified for each ACC subregion in patients with MDD, with altered rsFC of subgenual ACC in emotion-related brain regions, of pregenual ACC in sensorimotor-related regions, and of dorsal ACC in cognition-related regions. Furthermore, meta-regression analysis revealed a significant negative correlation between the pgACC-caudate hypoconnectivity and percentage of female patients in the study cohort. This meta-analysis provides robust evidence of altered intrinsic functional connectivity of the ACC subregions in MDD, which may hold relevance to understanding the origin of, and treating, the emotional, sensorimotor and cognitive dysfunctions that are often observed in these patients.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1016/j.neubiorev.2024.105583 | DOI Listing |
Adv Physiol Educ
September 2025
Swansea University Medical School, Swansea University, Swansea, UK.
The chick embryo ventricular cardiomyocyte model provides students easy access to experiments involving fundamental features of cardiac cell physiology and pharmacology. Using standard physiology teaching laboratories and basic cell culture equipment, spontaneously beating colonies of electrically-connected cardiomyocytes can be obtained by the students themselves. Students learn, aseptic techniques and cell culture alongside experiments illustrating, at the simplest level of experimentation, how beating rate can be altered physiologically or pharmacologically.
View Article and Find Full Text PDFCurr Biol
July 2025
Department of Neuroscience, Karolinska Institutet, 17177 Stockholm, Sweden. Electronic address:
The claustrum (CLA) is a thin and elongated brain structure that is located between the insula and lateral striatum and is implicated in a wide range of behaviors. It is characterized by its extensive synaptic connectivity with multiple cortical regions. While CLA projection neurons are glutamatergic, several studies have shown an inhibitory impact of CLA on its cortical targets, suggesting the involvement of inhibitory cortical interneurons.
View Article and Find Full Text PDFJ Vis Exp
August 2025
Institut de recherches cliniques de Montréal (IRCM); Programmes de biologie moléculaire, Université de Montréal; Département de Médecine, Université de Montréal;
Embryonic tissue growth and patterning are largely controlled by signals exchanged locally between cell populations within the tissues themselves. Cytonemes are a type of signaling filopodia first identified in Drosophila that connect and mediate exchange between signal-producing and signal-receiving cells. In the developing Drosophila wing imaginal disc, cytonemes are involved in signal exchange between distinct populations of cells within the disc proper (DP) epithelium, which will form the adult wing, as well as between DP cells and cells in adjacent disc-associated tissues.
View Article and Find Full Text PDFIEEE Trans Neural Netw Learn Syst
September 2025
This article proposes a novel model-based planning framework for freeway ramp metering (RM), denoted as Koopman-driven linearized model-based offline planning (KLMOP). This framework integrates the model predictive control (MPC) and offline reinforcement learning (RL) under assumptions of a linear Markov decision process (MDP) with the Koopman operator. KLMOP introduces a fully linearized control framework by learning and modeling the dynamics, reward function, and value function in a latent space through a Koopman-based latent dynamical model (KLDM) and a pessimistic value iteration (PEVI) algorithm.
View Article and Find Full Text PDFPsychol Rev
September 2025
Neural Computation Group, Max-Planck Institute for Human Cognitive and Brain Sciences.
It has been suggested that episodic memory relies on the well-studied machinery of spatial memory. This influential notion faces hurdles that become evident with dynamically changing spatial scenes and an immobile agent. Here I propose a model of episodic memory that can accommodate such episodes via temporal indexing.
View Article and Find Full Text PDF