scholarly journals Modulating medial prefrontal cortex activity using real-time fMRI neurofeedback: Effects on reality monitoring performance and associated functional connectivity

NeuroImage ◽  
2021 ◽  
pp. 118640
Author(s):  
J.R. Garrison ◽  
F. Saviola ◽  
E. Morgenroth ◽  
H. Barker ◽  
M. Lührs ◽  
...  
2018 ◽  
Author(s):  
Karuna Subramaniam ◽  
Hardik Kothare ◽  
Leighton B. Hinkley ◽  
Phiroz Tarapore ◽  
Srikantan S. Nagarajan

AbstractReality monitoring is defined as the ability to distinguish internally self-generated information from externally-derived information. Functional imaging studies have consistently found that the medial prefrontal cortex (mPFC) is a key brain region subserving reality monitoring. The aim of this study was to determine a causal role for mPFC in reality monitoring using navigated repetitive transcranial magnetic stimulation (nrTMS). In a subject-blinded sham-controlled crossover design, healthy individuals received either active or sham nrTMS targeting mPFC. Active modulation of mPFC using nrTMS at a frequency of 10 Hz, significantly improved identification of both self-generated and externally-derived information during reality monitoring, when compared to sham or baseline. Targeted excitatory modulation of mPFC also improved positive mood ratings, reduced negative mood ratings and increased overall alertness/arousal. These results establish optimal nrTMS dosing parameters that maximized tolerability/comfort and induced significant neuromodulatory effects in the mPFC target. Importantly, this is a proof-of-concept study that establishes the mPFC as a novel brain target that can be stimulated with nrTMS to causally impact both mood and higher-order reality monitoring.


2020 ◽  
Vol 14 ◽  
Author(s):  
Karuna Subramaniam ◽  
Hardik Kothare ◽  
Leighton B. Hinkley ◽  
Phiroz Tarapore ◽  
Srikantan S. Nagarajan

2019 ◽  
Vol 216 (5) ◽  
pp. 267-274 ◽  
Author(s):  
Shu Liu ◽  
Ang Li ◽  
Yong Liu ◽  
Hao Yan ◽  
Meng Wang ◽  
...  

BackgroundSchizophrenia is a complex mental disorder with high heritability and polygenic inheritance. Multimodal neuroimaging studies have also indicated that abnormalities of brain structure and function are a plausible neurobiological characterisation of schizophrenia. However, the polygenic effects of schizophrenia on these imaging endophenotypes have not yet been fully elucidated.AimsTo investigate the effects of polygenic risk for schizophrenia on the brain grey matter volume and functional connectivity, which are disrupted in schizophrenia.MethodGenomic and neuroimaging data from a large sample of Han Chinese patients with schizophrenia (N = 509) and healthy controls (N = 502) were included in this study. We examined grey matter volume and functional connectivity via structural and functional magnetic resonance imaging, respectively. Using the data from a recent meta-analysis of a genome-wide association study that comprised a large number of Chinese people, we calculated a polygenic risk score (PGRS) for each participant.ResultsThe imaging genetic analysis revealed that the individual PGRS showed a significantly negative correlation with the hippocampal grey matter volume and hippocampus–medial prefrontal cortex functional connectivity, both of which were lower in the people with schizophrenia than in the controls. We also found that the observed neuroimaging measures showed weak but similar changes in unaffected first-degree relatives of patients with schizophrenia.ConclusionsThese findings suggested that genetically influenced brain grey matter volume and functional connectivity may provide important clues for understanding the pathological mechanisms of schizophrenia and for the early diagnosis of schizophrenia.


2011 ◽  
Vol 16 (6) ◽  
pp. 592-594 ◽  
Author(s):  
C McCabe ◽  
Z Mishor ◽  
N Filippini ◽  
P J Cowen ◽  
M J Taylor ◽  
...  

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