Browsing by Subject "Resting state fMRI"

Now showing 1 - 4 of 4
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    Altered amygdala-cortical connectivity in individuals with Cannabis use disorder
    (Sage, 2021) Aloi, Joseph; McCusker, Marie C.; Lew, Brandon J.; Schantell, Mikki; Eastman, Jacob A.; Frenzel, Michaela R.; Wilson, Tony W.; Psychiatry, School of Medicine
    Background: Cannabis is one of the most commonly used substances in the United States. Prior literature using task-based functional magnetic resonance imaging (fMRI) has identified that individuals with Cannabis use disorder (CUD) show impairments in emotion processing circuitry. However, whether the functional networks involving these regions are also altered in CUD remains poorly understood. Aims: Investigate changes in resting-state functional connectivity (rsFC) in regions related to emotional processing in CUD. Methods: Sixty-two participants completed resting-state fMRI, including 21 with CUD, 20 with histories of illicit substance use but no current CUD diagnosis, and 21 with no history of illicit substance use. Whole-brain seed-based connectivity analyses were performed and one-way analyses of covariance (ANCOVAs) were conducted to detect group differences in the bilateral amygdalae, hippocampi, and the anterior and posterior cingulate cortices. Results: The CUD group exhibited significant reductions in rsFC between the amygdala and the cuneus, paracentral lobule, and supplementary motor area, and between the cingulate cortices and the occipital and temporal lobes. There were no significant group differences in hippocampal functional connectivity. In addition, CUD symptom counts based on the Structured Clinical Interview for DSM-5 (SCID) and the Cannabis Use Disorders Identification Test (CUDIT) significantly correlated with multiple connectivity metrics. Conclusion: These data expand on emerging literature indicating that CUD is associated with dysfunction in the neural circuits underlying emotion processing. Dysfunction in emotion processing circuits may play a role in the behavioral impairments seen in emotion processing tasks in individuals with CUD, and the severity of CUD symptoms appears to be directly related to the degree of dysfunction in these circuits.
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    APOE, TOMM40, and Sex Interactions on Neural Network Connectivity
    (Elsevier, 2022) Li, Tianqi; Pappas, Colleen; Le, Scott T.; Wang, Qian; Klinedinst, Brandon S.; Larsen, Brittany; Pollpeter, Amy; Lee, Ling Yi; Lutz, Mike W.; Gottschalk, William K.; Swerdlow, Russell H.; Nho, Kwangsik; Willette, Auriel A.; Radiology and Imaging Sciences, School of Medicine
    The Apolipoprotein E ε4 (APOE ε4) haplotype is the strongest genetic risk factor for late-onset Alzheimer‟s disease (AD). The Translocase of Outer Mitochondrial Membrane-40 (TOMM40) gene maintains cellular bioenergetics, which is disrupted in AD. TOMM40 rs2075650 (‘650) G vs. A carriage is consistently related to neural and cognitive outcomes, but it is unclear if and how it interacts with APOE. We examined 21 orthogonal neural networks among 8,222 middle-aged to aged participants in the UK Biobank cohort. ANOVA and multiple linear regression tested main effects and interactions with APOE and TOMM40 ‘650 genotypes, and if age and sex acted as moderators. APOE ε4 was associated with less strength in multiple networks, while ‘650 G vs. A carriage was related to more language comprehension network strength. In APOE ε4 carriers, ‘650 G-carriage led to less network strength with increasing age, while in non G-carriers this was only seen in women but not men. TOMM40 may shift what happens to network activity in aging APOE ε4 carriers depending on sex.
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    Multimodal MRI assessment for first episode psychosis: A major change in the thalamus and an efficient stratification of a subgroup
    (Wiley, 2021) Faria, Andreia V.; Zhao, Yi; Ye, Chenfei; Hsu, Johnny; Yang, Kun; Cifuentes, Elizabeth; Wang, Lei; Mori, Susumu; Miller, Michael; Caffo, Brian; Sawa, Akira; Biostatistics and Health Data Science, Richard M. Fairbanks School of Public Health
    Multi-institutional brain imaging studies have emerged to resolve conflicting results among individual studies. However, adjusting multiple variables at the technical and cohort levels is challenging. Therefore, it is important to explore approaches that provide meaningful results from relatively small samples at institutional levels. We studied 87 first episode psychosis (FEP) patients and 62 healthy subjects by combining supervised integrated factor analysis (SIFA) with a novel pipeline for automated structure-based analysis, an efficient and comprehensive method for dimensional data reduction that our group recently established. We integrated multiple MRI features (volume, DTI indices, resting state fMRI-rsfMRI) in the whole brain of each participant in an unbiased manner. The automated structure-based analysis showed widespread DTI abnormalities in FEP and rs-fMRI differences between FEP and healthy subjects mostly centered in thalamus. The combination of multiple modalities with SIFA was more efficient than the use of single modalities to stratify a subgroup of FEP (individuals with schizophrenia or schizoaffective disorder) that had more robust deficits from the overall FEP group. The information from multiple MRI modalities and analytical methods highlighted the thalamus as significantly abnormal in FEP. This study serves as a proof-of-concept for the potential of this methodology to reveal disease underpins and to stratify populations into more homogeneous sub-groups.
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    Resting-state neural circuit correlates of negative urgency: a comparison between tobacco users and non-tobacco users
    (2017-06-28) Um, Miji; Cyders, Melissa A.
    Negative urgency, defined as a tendency to act rashly under extreme negative emotion, is strongly associated with tobacco use. Despite the robust cross-sectional and experimental evidence linking negative urgency and tobacco use, neural correlates of negative urgency in tobacco use have not been studied. The purpose of the current study was to 1) identify neural circuits that differ between tobacco users and non-tobacco users and 2) explore the relationship between resting-state seed-based functional connectivity (rsFC) and negative urgency, both in the overall group and between tobacco users and non-tobacco users. Using negative urgency-related brain regions as seed regions (voxel level p = .005, cluster-level a < .05), compared to non-tobacco users (n = 21; mean age = 36.57, 62% female, 76% white), tobacco users (n = 22; mean age = 37.50, 64% female, 77% white) had stronger rsFC strengths in the right amygdala – left medial orbitofrontal cortex/ventromedial prefrontal cortex circuit and the right nucleus accumbens – right temporoparietal junction circuit. Additionally, rsFC in the bilateral temporal pole – left supramarginal gyrus circuits was positively correlated with negative urgency (Left temporal pole: r = .55, p < .001; Right temporal pole: r = .51, p < .001). The current study extends previous neuroimaging findings, which have mainly focused on how negative urgency is related to brain responses in localized, segregated brain regions, by examining the network-level interactions between different brain regions. This study provides prime preliminary data for future neuroimaging studies of negative urgency by providing potential target networks that would aid the development of novel intervention strategies for negative urgency-based maladaptive behaviors.