Aberrant resting-state connectivity in non-psychotic individuals with auditory hallucinations

2012 ◽  
Vol 43 (8) ◽  
pp. 1685-1696 ◽  
Author(s):  
K. M. J. Diederen ◽  
S. F. W. Neggers ◽  
A. D. de Weijer ◽  
R. van Lutterveld ◽  
K. Daalman ◽  
...  
Keyword(s):  
Resting State ◽  
Negative Symptoms ◽  
Inferior Frontal Gyrus ◽  
Fmri Data ◽  
Control Group ◽  
Temporal Region ◽  
Brain Areas ◽  
Auditory Verbal Hallucinations ◽  
The Right ◽  
Resting State Connectivity

BackgroundAlthough auditory verbal hallucinations (AVH) are a core symptom of schizophrenia, they also occur in non-psychotic individuals, in the absence of other psychotic, affective, cognitive and negative symptoms. AVH have been hypothesized to result from deviant integration of inferior frontal, parahippocampal and superior temporal brain areas. However, a direct link between dysfunctional connectivity and AVH has not yet been established. To determine whether hallucinations are indeed related to aberrant connectivity, AVH should be studied in isolation, for example in non-psychotic individuals with AVH.MethodResting-state connectivity was investigated in 25 non-psychotic subjects with AVH and 25 matched control subjects using seed regression analysis with the (1) left and (2) right inferior frontal, (3) left and (4) right superior temporal and (5) left parahippocampal areas as the seed regions. To correct for cardiorespiratory (CR) pulsatility rhythms in the functional magnetic resonance imaging (fMRI) data, heartbeat and respiration were monitored during scanning and the fMRI data were corrected for these rhythms using the image-based method for retrospective correction of physiological motion effects RETROICOR.ResultsIn comparison with the control group, non-psychotic individuals with AVH showed increased connectivity between the left and the right superior temporal regions and also between the left parahippocampal region and the left inferior frontal gyrus. Moreover, this group did not show a negative correlation between the left superior temporal region and the right inferior frontal region, as was observed in the healthy control group.ConclusionsAberrant connectivity of frontal, parahippocampal and superior temporal brain areas can be specifically related to the predisposition to hallucinate in the auditory domain.

scholarly journals Changes in resting-state measures of prostate cancer patients exposed to androgen deprivation therapy

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Julio Plata-Bello ◽  
Ana Plata-Bello ◽  
Yaiza Pérez-Martín ◽  
David López-Curtis ◽  
Silvia Acosta-López ◽  
...  
Keyword(s):  
Androgen Deprivation Therapy ◽  
Resting State ◽  
Inferior Frontal Gyrus ◽  
Low Frequency ◽  
Region Of Interest ◽  
Androgen Deprivation ◽  
Receptor Expression ◽  
Control Group ◽  
Precentral Gyrus ◽  
The Right

AbstractThe aim of the present work is to describe the differences in rs-fMRI measures (Amplitude of low frequency fluctuations [ALFF], Regional Homogeneity [ReHo] and Functional Connectivity [FC]) between patients exposed to Androgen deprivation therapy (ADT) and a control group. Forty-nine ADT patients and fifteen PC-non-ADT patients (Controls) were included in the study. A neuropsychological evaluation and a resting-state fMRI was performed to evaluate differences in ALFF and ReHo. Region of interest (ROI) analysis was also performed. ROIs were selected among those whose androgen receptor expression (at RNA-level) was the highest. FC analysis was performed using the same ROIs. Higher ALFF in frontal regions and temporal regions was identified in Controls than in ADT patients. In the ROI analysis, higher activity for Controls than ADT patients was shown in the left inferior frontal gyrus and in the left precentral gyrus. Lower ALFF in the right hippocampus and the lateral geniculate nucleus of the right thalamus was identified for Controls than ADT patients. Higher ReHo was observed in Controls in the left parietal-occipital area. Finally, ADT patients presented an increase of FC in more regions than Controls. These differences may reflect an impairment in brain functioning in ADT users.

scholarly journals Disentangling Mathematics from Executive Functions by Investigating Unique Functional Connectivity Patterns Predictive of Mathematics Ability

2019 ◽  
Vol 31 (4) ◽  
pp. 560-573 ◽  
Author(s):  
Kenny Skagerlund ◽  
Taylor Bolt ◽  
Jason S. Nomi ◽  
Mikael Skagenholt ◽  
Daniel Västfjäll ◽  
...  
Keyword(s):  
Functional Connectivity ◽  
Resting State ◽  
Inferior Frontal Gyrus ◽  
Premotor Cortex ◽  
Mathematical Ability ◽  
Angular Gyrus ◽  
Intraparietal Sulcus ◽  
Supramarginal Gyrus ◽  
Connectivity Patterns ◽  
The Right

What are the underlying neurocognitive mechanisms that give rise to mathematical competence? This study investigated the relationship between tests of mathematical ability completed outside the scanner and resting-state functional connectivity (FC) of cytoarchitectonically defined subdivisions of the parietal cortex in adults. These parietal areas are also involved in executive functions (EFs). Therefore, it remains unclear whether there are unique networks for mathematical processing. We investigate the neural networks for mathematical cognition and three measures of EF using resting-state fMRI data collected from 51 healthy adults. Using 10 ROIs in seed to whole-brain voxel-wise analyses, the results showed that arithmetical ability was correlated with FC between the right anterior intraparietal sulcus (hIP1) and the left supramarginal gyrus and between the right posterior intraparietal sulcus (hIP3) and the left middle frontal gyrus and the right premotor cortex. The connection between the posterior portion of the left angular gyrus and the left inferior frontal gyrus was also correlated with mathematical ability. Covariates of EF eliminated connectivity patterns with nodes in inferior frontal gyrus, angular gyrus, and middle frontal gyrus, suggesting neural overlap. Controlling for EF, we found unique connections correlated with mathematical ability between the right hIP1 and the left supramarginal gyrus and between hIP3 bilaterally to premotor cortex bilaterally. This is partly in line with the “mapping hypothesis” of numerical cognition in which the right intraparietal sulcus subserves nonsymbolic number processing and connects to the left parietal cortex, responsible for calculation procedures. We show that FC within this circuitry is a significant predictor of math ability in adulthood.

scholarly journals Establishment of Effective Biomarkers for Depression Diagnosis With Fusion of Multiple Resting-State Connectivity Measures

2021 ◽  
Vol 15 ◽  
Author(s):  
Yanling Li ◽  
Xin Dai ◽  
Huawang Wu ◽  
Lijie Wang
Keyword(s):  
Clinical Diagnosis ◽  
Resting State ◽  
Causal Modeling ◽  
Support Vector ◽  
Major Depressive ◽  
Window Method ◽  
Underlying Basis ◽  
Sliding Window Method ◽  
The Right ◽  
Resting State Connectivity

Major depressive disorder (MDD) is a severe mental disorder and is lacking in biomarkers for clinical diagnosis. Previous studies have demonstrated that functional abnormalities of the unifying triple networks are the underlying basis of the neuropathology of depression. However, whether the functional properties of the triple network are effective biomarkers for the diagnosis of depression remains unclear. In our study, we used independent component analysis to define the triple networks, and resting-state functional connectivities (RSFCs), effective connectivities (EC) measured with dynamic causal modeling (DCM), and dynamic functional connectivity (dFC) measured with the sliding window method were applied to map the functional interactions between subcomponents of triple networks. Two-sample t-tests with p < 0.05 with Bonferroni correction were used to identify the significant differences between healthy controls (HCs) and MDD. Compared with HCs, the MDD showed significantly increased intrinsic FC between the left central executive network (CEN) and salience network (SAL), increased EC from the right CEN to left CEN, decreased EC from the right CEN to the default mode network (DMN), and decreased dFC between the right CEN and SAL, DMN. Moreover, by fusion of the changed RSFC, EC, and dFC as features, support vector classification could effectively distinguish the MDD from HCs. Our results demonstrated that fusion of the multiple functional connectivities measures of the triple networks is an effective way to reveal functional disruptions for MDD, which may facilitate establishing the clinical diagnosis biomarkers for depression.

Magnetoencephalography Resting-State Correlates of Executive and Language Components of Verbal Fluency

2021 ◽  
Author(s):  
Victor Oswald ◽  
Younes Zerouali ◽  
Aubrée Boulet-Craig ◽  
Maja Krajinovic ◽  
Caroline Laverdière ◽  
...  
Keyword(s):  
Resting State ◽  
Verbal Fluency ◽  
Right Hemisphere ◽  
Spectral Power ◽  
Inferior Frontal Gyrus ◽  
Factor Loading ◽  
Language Abilities ◽  
Verbal Test ◽  
Eyes Open ◽  
The Right

Abstract Verbal fluency (VF) is a heterogeneous test that requires executive functions as well as language abilities. The purpose of this study was to elucidate the specificity of the resting state MEG correlates of the executive and language components. To this end, we administered a VFtest, another verbal test (Vocabulary), and another executive test (Trail Making Test), and we recorded 5-min eyes-open resting-state MEG data in 28 healthy participants. We used source-reconstructed spectral power estimates to compute correlation/anticorrelation MEG clusters with the performance at each test, as well as with the advantage in performance between tests, across individuals using cluster-level statisticsin the standard frequency bands. By obtaining conjunction clusters between verbal fluency scores and factor loading obtained for verbal fluency and each of the two other tests, we showed a core of slow clusters (delta to beta) localized in the right hemisphere, in adjacent parts of the premotor, pre-central and post-central cortex in the mid-lateral regions related to executive monitoring. We also found slow parietal clusters bilaterally and a cluster in the gamma 2 and 3 bandsin the left inferior frontal gyrus likely associated with phonological processinginvolved in verbal fluency.

Functional Brain Areas Mapping in Patients with Glioma Based on Resting-State fMRI Data Decomposition

2018 ◽  
Author(s):  
Maksim Sharaev ◽  
Alexander Smirnov ◽  
Tatiana Melnikova-Pitskhelauri ◽  
Vyacheslav Orlov ◽  
Evgeny Burnaev ◽  
...  
Keyword(s):  
Resting State ◽  
Resting State Fmri ◽  
Fmri Data ◽  
Data Decomposition ◽  
Brain Areas ◽  
Functional Brain

Timing dysfunction and cerebellar resting state functional connectivity abnormalities in youth at clinical high-risk for psychosis

2020 ◽  
pp. 1-10 ◽  
Author(s):  
K. Juston Osborne ◽  
Katherine S. F. Damme ◽  
Tina Gupta ◽  
Derek J. Dean ◽  
Jessica A. Bernard ◽  
...  
Keyword(s):  
High Risk ◽  
Resting State ◽  
Negative Symptoms ◽  
Brain Regions ◽  
Internal Clock ◽  
Clinical High Risk ◽  
Resting State Functional Connectivity ◽  
Schizophrenia Spectrum ◽  
Temporal Bisection Task ◽  
Resting State Connectivity

Abstract Background Consistent with pathophysiological models of psychosis, temporal disturbances in schizophrenia spectrum populations may reflect abnormal cortical (e.g. prefrontal cortex) and subcortical (e.g. striatum) cerebellar connectivity. However, few studies have examined associations between cerebellar connectivity and timing dysfunction in psychosis populations, and none have been conducted in youth at clinical high-risk (CHR) for psychosis. Thus, it is currently unknown if impairments in temporal processes are present in CHR youth or how they may be associated with cerebellar connectivity and worsening of symptoms. Methods A total of 108 (56 CHR/52 controls) youth were administered an auditory temporal bisection task along with a resting state imaging scan to examine cerebellar resting state connectivity. Positive and negative symptoms at baseline and 12 months later were also quantified. Results Controlling for alcohol and cannabis use, CHR youth exhibited poorer temporal accuracy compared to controls, and temporal accuracy deficits were associated with abnormal connectivity between the bilateral anterior cerebellum and a right caudate/nucleus accumbens striatal cluster. Poor temporal accuracy accounted for 11% of the variance in worsening of negative symptoms over 12 months. Conclusions Behavioral findings suggest CHR youth perceive durations of auditory tones as shortened compared to objective time, which may indicate a slower internal clock. Poorer temporal accuracy in CHR youth was associated with abnormalities in brain regions involved in an important cerebellar network implicated in prominent pathophysiological models of psychosis. Lastly, temporal accuracy was associated with worsening of negative symptoms across 12 months, suggesting temporal dysfunction may be sensitive to illness progression.

scholarly journals Altered Intra- and Interregional Synchronization in Resting-State Cerebral Networks Associated with Chronic Tinnitus

2015 ◽  
Vol 2015 ◽  
pp. 1-11 ◽  
Author(s):  
Yu-Chen Chen ◽  
Jian Zhang ◽  
Xiao-Wei Li ◽  
Wenqing Xia ◽  
Xu Feng ◽  
...  
Keyword(s):  
Functional Connectivity ◽  
Resting State ◽  
Brain Activity ◽  
Inferior Frontal Gyrus ◽  
Resting State Fmri ◽  
Brain Regions ◽  
Chronic Tinnitus ◽  
Healthy Controls ◽  
Tinnitus Distress ◽  
The Right

Objective. Subjective tinnitus is hypothesized to arise from aberrant neural activity; however, its neural bases are poorly understood. To identify aberrant neural networks involved in chronic tinnitus, we compared the resting-state functional magnetic resonance imaging (fMRI) patterns of tinnitus patients and healthy controls.Materials and Methods. Resting-state fMRI measurements were obtained from a group of chronic tinnitus patients (n=29) with normal hearing and well-matched healthy controls (n=30). Regional homogeneity (ReHo) analysis and functional connectivity analysis were used to identify abnormal brain activity; these abnormalities were compared to tinnitus distress.Results. Relative to healthy controls, tinnitus patients had significant greater ReHo values in several brain regions including the bilateral anterior insula (AI), left inferior frontal gyrus, and right supramarginal gyrus. Furthermore, the left AI showed enhanced functional connectivity with the left middle frontal gyrus (MFG), while the right AI had enhanced functional connectivity with the right MFG; these measures were positively correlated with Tinnitus Handicap Questionnaires (r=0.459,P=0.012andr=0.479,P=0.009, resp.).Conclusions. Chronic tinnitus patients showed abnormal intra- and interregional synchronization in several resting-state cerebral networks; these abnormalities were correlated with clinical tinnitus distress. These results suggest that tinnitus distress is exacerbated by attention networks that focus on internally generated phantom sounds.

scholarly journals Investigations into resting-state connectivity using independent component analysis

2005 ◽  
Vol 360 (1457) ◽  
pp. 1001-1013 ◽  
Author(s):  
Christian F Beckmann ◽  
Marilena DeLuca ◽  
Joseph T Devlin ◽  
Stephen M Smith
Keyword(s):  
Independent Component Analysis ◽  
Resting State ◽  
Temporal Structure ◽  
Low Frequency ◽  
Component Analysis ◽  
Independent Component ◽  
Fmri Data ◽  
Analytical Technique ◽  
Spatio Temporal ◽  
Resting State Connectivity

Inferring resting-state connectivity patterns from functional magnetic resonance imaging (fMRI) data is a challenging task for any analytical technique. In this paper, we review a probabilistic independent component analysis (PICA) approach, optimized for the analysis of fMRI data, and discuss the role which this exploratory technique can take in scientific investigations into the structure of these effects. We apply PICA to fMRI data acquired at rest, in order to characterize the spatio-temporal structure of such data, and demonstrate that this is an effective and robust tool for the identification of low-frequency resting-state patterns from data acquired at various different spatial and temporal resolutions. We show that these networks exhibit high spatial consistency across subjects and closely resemble discrete cortical functional networks such as visual cortical areas or sensory–motor cortex.

scholarly journals Specific connectivity with Operculum 3 (OP3) brain region in acoustic trauma tinnitus: a seed-based resting state fMRI study

2019 ◽  
Author(s):  
Agnès Job ◽  
Anne Kavounoudias ◽  
Chloé Jaroszynski ◽  
Assia Jaillard ◽  
Chantal Delon-Martin
Keyword(s):  
Hearing Loss ◽  
Auditory Cortex ◽  
Functional Mri ◽  
Resting State ◽  
Primary Auditory Cortex ◽  
Acoustic Trauma ◽  
Control Group ◽  
New Model ◽  
The Veil ◽  
The Right

ABSTRACTTinnitus mechanisms remain poorly understood. Our previous functional MRI (fMRI) studies demonstrated an abnormal hyperactivity in the right parietal operculum 3 (OP3) in acoustic trauma tinnitus and during provoked phantom sound perceptions without hearing loss, which lead us to propose a new model of tinnitus. This new model is not directly linked with hearing loss and primary auditory cortex abnormalities, but with a proprioceptive disturbance related to middle-ear muscles. In the present study, a seed-based resting-state functional MRI method was used to explore the potential abnormal connectivity of this opercular region between an acoustic trauma tinnitus group presenting slight to mild tinnitus and a control group. Primary auditory cortex seeds were also explored because they were thought to be directly involved in tinnitus in most current models. In such a model, hearing loss and tinnitus handicap were confounding factors and were therefore regressed in our analysis. Between-groups comparisons showed a significant specific connectivity between the right OP3 seeds and the potential human homologue of the premotor ear-eye field (H-PEEF) bilaterally and the inferior parietal lobule (IPL) in the tinnitus group. Our findings suggest the existence of a simultaneous premotor ear-eye disturbance in tinnitus that could lift the veil on unexplained subclinical abnormalities in oculomotor tests found in tinnitus patients with normal vestibular responses. The present work confirms the involvement of the OP3 subregion in acoustic trauma tinnitus and provides some new clues to explain its putative mechanisms.

scholarly journals Subgenual cingulate-amygdala functional disconnection and vulnerability to melancholic depression

2021 ◽  
Author(s):  
Clifford Ian Workman ◽  
Karen E. Lythe ◽  
Shane McKie ◽  
Jorge Moll ◽  
Jennifer A. Gethin ◽  
...  
Keyword(s):  
Resting State ◽  
A Priori ◽  
Resting State Fmri ◽  
Parahippocampal Gyrus ◽  
Melancholic Depression ◽  
Neural Signature ◽  
The Right ◽  
Depressive Episodes ◽  
Resting State Connectivity ◽  
Subgenual Cingulate

The syndromic heterogeneity of major depressive disorder (MDD) hinders understanding of the etiology of predisposing vulnerability traits and underscores the importance of identifying neurobiologically valid phenotypes. Distinctive fMRI biomarkers of vulnerability to MDD subtypes are currently lacking. This study investigated whether remitted melancholic MDD patients, who are at an elevated lifetime risk for depressive episodes, demonstrate distinctive patterns of resting-state connectivity with the subgenual cingulate cortex (SCC), known to be of core pathophysiological importance for severe and familial forms of MDD. We hypothesized that patterns of disrupted SCC connectivity would be a distinguishing feature of melancholia. A total of 63 medication-free remitted MDD (rMDD) patients (33 melancholic and 30 nonmelancholic) and 39 never-depressed healthy controls (HC) underwent resting-state fMRI scanning. SCC connectivity was investigated with closely connected bilateral a priori regions of interest (ROIs) relevant to MDD (anterior temporal, ventromedial prefrontal, dorsomedial prefrontal cortices, amygdala, hippocampus, septal region, and hypothalamus). Decreased (less positive) SCC connectivity with the right parahippocampal gyrus and left amygdala distinguished melancholic rMDD patients from the nonmelancholic rMDD and HC groups (cluster-based familywise error-corrected p⩽0.007 over individual a priori ROIs corresponding to approximate Bonferroni-corrected p⩽0.05 across all seven a priori ROIs). No areas demonstrating increased (more positive) connectivity were observed. Abnormally decreased connectivity of the SCC with the amygdala and parahippocampal gyrus distinguished melancholic from nonmelancholic rMDD. These results provide the first resting-state neural signature distinctive of melancholic rMDD and may reflect a subtype-specific primary vulnerability factor given a lack of association with the number of previous episodes.

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