Neural networks in late life depression
CONCLUSION: Imaging studies show various neurobiological changes that contribute to neural network dysfunction in LLD.PMID:38174397 (Source: Tijdschrift voor Psychiatrie)
Source: Tijdschrift voor Psychiatrie - January 4, 2024 Category: Psychiatry Authors: T Baert T Vande Casteele F Bouckaert M Vandenbulcke Source Type: research

Neural networks and clinical efficacy of transcranial brain stimulation in psychiatry
CONCLUSION: Transcranial brain stimulation grafted on network information appears to be a promising approach for enhancing therapeutic outcome in psychiatric disorders.PMID:38174398 (Source: Tijdschrift voor Psychiatrie)
Source: Tijdschrift voor Psychiatrie - January 4, 2024 Category: Psychiatry Authors: D J L G Schutter A Aleman E Dijkstra A T Sack Source Type: research

Electroencephalography and connectivity in delirium
CONCLUSION: Delirium is characterized by diffuse slowing of the EEG, reduced functional connectivity, and decreased efficiency of the brain network. Improved functional connectivity could be a new approach to treat delirium.PMID:38174399 (Source: Tijdschrift voor Psychiatrie)
Source: Tijdschrift voor Psychiatrie - January 4, 2024 Category: Psychiatry Authors: J van der A T H Ottens D Y Lodema W de Haan I Tendolkar M H Emmelot-Vonk D J L G Schutter E van Dellen A J C Slooter Source Type: research

Resting state-EEG connectivity and machine learning: towards improved treatment response predictions in psychiatry
CONCLUSION: Independent replication studies and research on implementation are needed to determine whether developed algorithms that predict treatment outcomes based on EEG recordings are of value in clinical practice.PMID:38174400 (Source: Tijdschrift voor Psychiatrie)
Source: Tijdschrift voor Psychiatrie - January 4, 2024 Category: Psychiatry Authors: M G Zandstra L Dominicus B Mouthaan B Oranje E van Dellen Source Type: research

De rol van hart-hersenkoppeling bij het personaliseren van hersenstimulatie
CONCLUSION: Currently, the network hypothesis of depression is the most widely accepted explanatory model for TMS effects in depression. Although the new methods, namely the fMRI-based method and the heart-brain coupling method, are promising, it has not yet been sufficiently proven that they are superior to standard methods.PMID:38174401 (Source: Tijdschrift voor Psychiatrie)
Source: Tijdschrift voor Psychiatrie - January 4, 2024 Category: Psychiatry Authors: M Arns Source Type: research