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 ◽  
...  

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.

2021 ◽  
Vol 15 ◽  
Author(s):  
Na Xu ◽  
Wei Shan ◽  
Jing Qi ◽  
Jianping Wu ◽  
Qun Wang

Epilepsy is caused by abnormal electrical discharges (clinically identified by electrophysiological recording) in a specific part of the brain [originating in only one part of the brain, namely, the epileptogenic zone (EZ)]. Epilepsy is now defined as an archetypical hyperexcited neural network disorder. It can be investigated through the network analysis of interictal discharges, ictal discharges, and resting-state functional connectivity. Currently, there is an increasing interest in embedding resting-state connectivity analysis into the preoperative evaluation of epilepsy. Among the various neuroimaging technologies employed to achieve brain functional networks, magnetoencephalography (MEG) with the excellent temporal resolution is an ideal tool for estimating the resting-state connectivity between brain regions, which can reveal network abnormalities in epilepsy. What value does MEG resting-state functional connectivity offer for epileptic presurgical evaluation? Regarding this topic, this paper introduced the origin of MEG and the workflow of constructing source–space functional connectivity based on MEG signals. Resting-state functional connectivity abnormalities correlate with epileptogenic networks, which are defined by the brain regions involved in the production and propagation of epileptic activities. This paper reviewed the evidence of altered epileptic connectivity based on low- or high-frequency oscillations (HFOs) and the evidence of the advantage of using simultaneous MEG and intracranial electroencephalography (iEEG) recordings. More importantly, this review highlighted that MEG-based resting-state functional connectivity has the potential to predict postsurgical outcomes. In conclusion, resting-state MEG functional connectivity has made a substantial progress toward serving as a candidate biomarker included in epileptic presurgical evaluations.


2020 ◽  
Author(s):  
Tanya Procyshyn ◽  
MIchael Lombardo ◽  
Meng-Chuan Lai ◽  
Bonnie Auyeung ◽  
Sarah Crockford ◽  
...  

Intranasal oxytocin administration has been shown to influence a variety of outcomes related to social behavior and cognition in clinical and typical samples. One possibility for these diverse effects is that oxytocin alters functional connectivity of social brain regions. However, this hypothesis has not been tested in autistic women. Using a cross-over design, we examined the effects of a single 24IU dose of oxytocin relative to placebo on resting-state functional connectivity in 16 autistic women and 23 non-autistic women matched for age and IQ. Connectivity among social brain regions (amygdala, anterior cingulate cortex (ACC), insula, medial prefrontal cortex (mPFC), and temporoparietal junction (TPJ)) was examined and compared between drug conditions and groups. We found a main drug effect for ACC-insula connectivity, with lower mean connectivity in the oxytocin condition. Significant Drug×Group interactions were also observed, such that oxytocin tended to increase connectivity among amygdala, insula, mPFC, and TPJ in autistic women but decrease connectivity in non-autistic women. Among autistic women, oxytocin-associated increases of moderate effect size were observed for insula-left TPJ and left amygdala-right TPJ connectivity, which attenuated large group connectivity differences observed in the baseline condition. Exploratory analyses suggested that women whose salivary oxytocin levels were more elevated from baseline by oxytocin administration tended to show larger increases in connectivity. These findings offer further evidence that oxytocin influences resting-state connectivity, with effects moderated by individual differences in endogenous hormone levels and clinical phenotype.


2021 ◽  
Vol 11 ◽  
Author(s):  
Pejman Sehatpour ◽  
Michael Avissar ◽  
Joshua T. Kantrowitz ◽  
Cheryl M. Corcoran ◽  
Heloise M. De Baun ◽  
...  

Deficits in mismatch negativity (MMN) generation are among the best-established biomarkers for cognitive dysfunction in schizophrenia and predict conversion to schizophrenia (Sz) among individuals at symptomatic clinical high risk (CHR). Impairments in MMN index dysfunction at both subcortical and cortical components of the early auditory system. To date, the large majority of studies have been conducted using deviants that differ from preceding standards in either tonal frequency (pitch) or duration. By contrast, MMN to sound location deviation has been studied to only a limited degree in Sz and has not previously been examined in CHR populations. Here, we evaluated location MMN across Sz and CHR using an optimized, multi-deviant pattern that included a location-deviant, as defined using interaural time delay (ITD) stimuli along with pitch, duration, frequency modulation (FM) and intensity deviants in a sample of 42 Sz, 33 CHR and 28 healthy control (HC) subjects. In addition, we obtained resting state functional connectivity (rsfMRI) on CHR subjects. Sz showed impaired MMN performance across all deviant types, along with strong correlation between MMN deficits and impaired neurocognitive function. In this sample of largely non-converting CHR subjects, no deficits were observed in either pitch or duration MMN. By contrast, CHR subjects showed significant impairments in location MMN generation particularly over right hemisphere and significant correlation between impaired location MMN and negative symptoms including deterioration of role function. In addition, significant correlations were observed between location MMN and rsfMRI involving brainstem circuits. In general, location detection using ITD stimuli depends upon precise processing within midbrain regions and provides a rapid and robust reorientation of attention. Present findings reinforce the utility of MMN as a pre-attentive index of auditory cognitive dysfunction in Sz and suggest that location MMN may index brain circuits distinct from those indexed by other deviant types.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Maria J. S. Guerreiro ◽  
Madita Linke ◽  
Sunitha Lingareddy ◽  
Ramesh Kekunnaya ◽  
Brigitte Röder

AbstractLower resting-state functional connectivity (RSFC) between ‘visual’ and non-‘visual’ neural circuits has been reported as a hallmark of congenital blindness. In sighted individuals, RSFC between visual and non-visual brain regions has been shown to increase during rest with eyes closed relative to rest with eyes open. To determine the role of visual experience on the modulation of RSFC by resting state condition—as well as to evaluate the effect of resting state condition on group differences in RSFC—, we compared RSFC between visual and somatosensory/auditory regions in congenitally blind individuals (n = 9) and sighted participants (n = 9) during eyes open and eyes closed conditions. In the sighted group, we replicated the increase of RSFC between visual and non-visual areas during rest with eyes closed relative to rest with eyes open. This was not the case in the congenitally blind group, resulting in a lower RSFC between ‘visual’ and non-‘visual’ circuits relative to sighted controls only in the eyes closed condition. These results indicate that visual experience is necessary for the modulation of RSFC by resting state condition and highlight the importance of considering whether sighted controls should be tested with eyes open or closed in studies of functional brain reorganization as a consequence of blindness.


2021 ◽  
Vol 36 ◽  
pp. 100909
Author(s):  
Gonzalo Salazar de Pablo ◽  
Filippo Besana ◽  
Vincenzo Arienti ◽  
Ana Catalan ◽  
Julio Vaquerizo-Serrano ◽  
...  

Author(s):  
Tina Gupta ◽  
Gregory P. Strauss ◽  
Henry R. Cowan ◽  
Andrea Pelletier-Baldelli ◽  
Lauren M. Ellman ◽  
...  

2019 ◽  
Vol 76 ◽  
pp. 268-274 ◽  
Author(s):  
David R. Goldsmith ◽  
Ebrahim Haroon ◽  
Andrew H. Miller ◽  
Jean Addington ◽  
Carrie Bearden ◽  
...  

2012 ◽  
Vol 196 (2-3) ◽  
pp. 220-224 ◽  
Author(s):  
Danijela Piskulic ◽  
Jean Addington ◽  
Kristin S. Cadenhead ◽  
Tyrone D. Cannon ◽  
Barbara A. Cornblatt ◽  
...  

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Stephen J. Kohut ◽  
Dionyssios Mintzopoulos ◽  
Brian D. Kangas ◽  
Hannah Shields ◽  
Kelly Brown ◽  
...  

AbstractLong-term cocaine use is associated with a variety of neural and behavioral deficits that impact daily function. This study was conducted to examine the effects of chronic cocaine self-administration on resting-state functional connectivity of the dorsal anterior cingulate (dACC) and putamen—two brain regions involved in cognitive function and motoric behavior—identified in a whole brain analysis. Six adult male squirrel monkeys self-administered cocaine (0.32 mg/kg/inj) over 140 sessions. Six additional monkeys that had not received any drug treatment for ~1.5 years served as drug-free controls. Resting-state fMRI imaging sessions at 9.4 Tesla were conducted under isoflurane anesthesia. Functional connectivity maps were derived using seed regions placed in the left dACC or putamen. Results show that cocaine maintained robust self-administration with an average total intake of 367 mg/kg (range: 299–424 mg/kg). In the cocaine group, functional connectivity between the dACC seed and regions primarily involved in motoric behavior was weaker, whereas connectivity between the dACC seed and areas implicated in reward and cognitive processing was stronger. In the putamen seed, weaker widespread connectivity was found between the putamen and other motor regions as well as with prefrontal areas that regulate higher-order executive function; stronger connectivity was found with reward-related regions. dACC connectivity was associated with total cocaine intake. These data indicate that functional connectivity between regions involved in motor, reward, and cognitive processing differed between subjects with recent histories of cocaine self-administration and controls; in dACC, connectivity appears to be related to cumulative cocaine dosage during chronic exposure.


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