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10 pages, 918 KiB  
Article
Differential Resting-State Brain Characteristics of Skeleton Athletes and Non-Athletes: A Preliminary Resting-State fMRI Study
by Xinhong Jin, Shuying Chen, Yapeng Qi, Qichen Zhou, Jian Wang, Yingying Wang and Chenglin Zhou
Brain Sci. 2024, 14(10), 1016; https://doi.org/10.3390/brainsci14101016 - 12 Oct 2024
Cited by 1 | Viewed by 897
Abstract
(1) Background: This study investigates the resting-state brain characteristics of skeleton athletes compared to healthy age-matched non-athletes, using resting-state fMRI to investigate long-term skeleton-training-related changes in the brain. (2) Methods: Eleven skeleton athletes and twenty-three matched novices with no prior experience with skeleton [...] Read more.
(1) Background: This study investigates the resting-state brain characteristics of skeleton athletes compared to healthy age-matched non-athletes, using resting-state fMRI to investigate long-term skeleton-training-related changes in the brain. (2) Methods: Eleven skeleton athletes and twenty-three matched novices with no prior experience with skeleton were recruited. Amplitude of low-frequency fluctuation (ALFF) and seed-based functional connectivity analyses were explored to investigate resting-state functional magnetic resonance imaging (rs-fMRI) data, aiming to elucidate differences in resting-state brain function between the two groups. (3) Results: Compared to the control group, skeleton athletes exhibited significantly higher ALFF in the left fusiform, left inferior temporal gyrus, right inferior frontal gyrus, left middle temporal gyrus, left and right insula, left Rolandic operculum, left inferior frontal gyrus, and left superior temporal gyrus. Skeleton athletes exhibit stronger functional connectivity in brain regions associated with cognitive and motor control (superior frontal gyrus, insula), as well as those related to reward learning (putamen), visual processing (precuneus), spatial cognition (inferior parietal), and emotional processing (amygdala), during resting-state brain function. (4) Conclusions: The study contributes to understanding how motor training history shapes skeleton athletes’ brains, which have distinct neural characteristics compared to the control population, indicating potential adaptations in brain function related to their specialized training and expertise in the sport. Full article
(This article belongs to the Section Neurotechnology and Neuroimaging)
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<p>Inter-group comparison results of mALFF values. The color bar represents the <span class="html-italic">t</span>-values (<span class="html-italic">t</span> = 3.40). Warm colors indicate positive values (skeleton group minus control group), while cold colors represent negative values (skeleton group minus control group). Hemisphere designation: left (L) or right (R). Clusters with <span class="html-italic">p</span> &lt; 0.05 and a spatial extent of <span class="html-italic">k</span> &gt; 50 voxels were deemed statistically significant.</p>
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<p>The inter-group comparison results of functional connectivity values. The functional connectivity results depicted in (<b>a</b>) are based on the seed region of interest located in the superior frontal gyrus. (<b>b</b>) displays the results utilizing the insula as the seed region of interest. The color bar indicates the <span class="html-italic">t</span>-values (<span class="html-italic">t</span> = 3.40). Warm colors indicate positive differences (skeleton group greater than control group), while cold colors represent negative differences (skeleton group less than control group) in either the left (L) or right (R) hemisphere. Clusters with <span class="html-italic">p</span> &lt; 0.05 and a spatial extent <span class="html-italic">k</span> &gt; 50 voxels were considered statistically significant.</p>
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12 pages, 4497 KiB  
Article
Comparing Brain Activation Patterns in Stress-Induced and Post-Stress Recovery States of Highly and Moderately Stressed Individuals
by Mi-Hyun Choi and Jin-Seung Choi
Appl. Sci. 2024, 14(20), 9261; https://doi.org/10.3390/app14209261 - 11 Oct 2024
Viewed by 1246
Abstract
Our study aimed to identify the mechanisms of stress-induced and post-stress recovery states by evaluating voxel type and the total number of voxels activated based on Perceived Stress Scale scores. Functional MRI (fMRI) was used to measure the brain activation patterns in participants [...] Read more.
Our study aimed to identify the mechanisms of stress-induced and post-stress recovery states by evaluating voxel type and the total number of voxels activated based on Perceived Stress Scale scores. Functional MRI (fMRI) was used to measure the brain activation patterns in participants grouped into moderate- and high-stress categories. The number of activation voxels in the parahippocampal gyrus of the limbic lobe was greater in the high-stress group than in the moderate-stress group. Moreover, only the high-stress group showed the characteristic activation of the left precuneus. The moderate-stress group showed a greater number of activation voxels than the high-stress group for the occipital, frontal, and limbic lobes, while the reverse was true for the parietal lobe. In the post-stress recovery phase, the left lingual, inferior frontal, and middle frontal gyri were activated, and the number of activation voxels in these areas was greater in the high-stress group than in the moderate-stress group. The characteristic activation of the declive in the left cerebellum was observed in the moderate-stress group, whereas the activation of the right cuneus was dominant in the high-stress group. Our findings suggest that perceived stress may play an important role in determining the neural mechanisms underlying stress and post-stress recovery, providing insights into the complex interplay between the psychological and neural processes occurring in response to stress. Full article
(This article belongs to the Section Biomedical Engineering)
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<p>Brain mapping images of both the (<b>a</b>) moderate-stress and (<b>b</b>) high-stress groups during the stress-inducing condition.</p>
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<p>Brain mapping images of the two groups ((<b>a</b>) moderate-stress and (<b>b</b>) high-stress group) during the recovery state.</p>
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<p>Comparison of activation voxels between the moderate- and high-stress groups during (<b>a</b>) stress-inducing conditions and (<b>b</b>) post-stress recovery state.</p>
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57 pages, 557 KiB  
Review
Biomarkers of Internet Gaming Disorder—A Narrative Review
by Katarzyna Skok and Napoleon Waszkiewicz
J. Clin. Med. 2024, 13(17), 5110; https://doi.org/10.3390/jcm13175110 - 28 Aug 2024
Viewed by 1214
Abstract
Since game mechanics and their visual aspects have become more and more addictive, there is concern about the growing prevalence of Internet gaming disorder (IGD). In the current narrative review, we searched PubMed and Google Scholar databases for the keywords “igd biomarker gaming” [...] Read more.
Since game mechanics and their visual aspects have become more and more addictive, there is concern about the growing prevalence of Internet gaming disorder (IGD). In the current narrative review, we searched PubMed and Google Scholar databases for the keywords “igd biomarker gaming” and terms related to biomarker modalities. The biomarkers we found are grouped into several categories based on a measurement method and are discussed in the light of theoretical addiction models (tripartite neurocognitive model, I-PACE). Both theories point to gaming-related problems with salience and inhibition. The first dysfunction makes an individual more susceptible to game stimuli (raised reward seeking), and the second negatively impacts resistance to these stimuli (decreased cognitive control). The IGD patients’ hypersensitivity to reward manifests mostly in ventral striatum (VS) measurements. However, there is also empirical support for a ventral-to-dorsal striatal shift and transition from goal-directed to habitual behaviors. The deficits in executive control are demonstrated in parameters related to the prefrontal cortex (PFC), especially the dorsolateral prefrontal cortex (DLPFC). In general, the connection of PFC with reward under cortex nuclei seems to be dysregulated. Other biomarkers include reduced P3 amplitudes, high-frequency heart rate variability (HRV), and the number of eye blinks and saccadic eye movements during the non-resting state. A few studies propose a diagnostic (multimodal) model of IGD. The current review also comments on inconsistencies in findings in the nucleus accumbens (NAcc), anterior cingulate cortex (ACC), and precuneus and makes suggestions for future IGD studies. Full article
(This article belongs to the Topic New Advances in Addiction Behavior)
13 pages, 2605 KiB  
Article
Identifying the Shared and Dissociable Neural Bases between Self-Worth and Moral Ambivalence
by Jiwen Li, Shuai Wang, Tengfei Du, Jianchao Tang and Juan Yang
Brain Sci. 2024, 14(7), 736; https://doi.org/10.3390/brainsci14070736 - 22 Jul 2024
Cited by 1 | Viewed by 1188
Abstract
Self-ambivalence, a prevalent phenomenon in daily life, has been increasingly substantiated by research. It refers to conflicting self-views and evaluations, primarily concerning self-worth and morality. Previous behavioral research has distinguished self-worth and moral ambivalence, but it remains unclear whether they have separable neural [...] Read more.
Self-ambivalence, a prevalent phenomenon in daily life, has been increasingly substantiated by research. It refers to conflicting self-views and evaluations, primarily concerning self-worth and morality. Previous behavioral research has distinguished self-worth and moral ambivalence, but it remains unclear whether they have separable neural bases. The present study addressed this question by examining resting-state brain activity (i.e., the fractional amplitude of low-frequency fluctuations, fALFF) and connectivity (i.e., resting-state functional connectivity, RSFC) in 112 college students. The results found that self-worth ambivalence was positively related to the fALFF in the orbitofrontal cortex (OFC) and left superior parietal lobule (SPL). The RSFC strength between the SPL and precuneus/posterior cingulate cortex (PCC) was positively related to self-worth ambivalence. Moral ambivalence was positively associated with the fALFF in the left SPL (extending into the temporoparietal junction) and right SPL. The RSFC strengths between the left SPL/TPJ and OFC, as well as the RSFC strengths between the right SPL as a seed and the bilateral middle and inferior temporal gyrus, were associated with moral ambivalence. Overall, the neural bases of self-worth and moral ambivalence are associated with the SPL and OFC, involved in attentional alertness and value representation, respectively. Additionally, the neural basis of moral ambivalence is associated with the TPJ, responsible for mentalizing. Full article
(This article belongs to the Section Neurotechnology and Neuroimaging)
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<p>Brain regions linked with self-worth ambivalence (<b>A</b>). Color bars represent R-values. (<b>B</b>,<b>C</b>) show positive scatter plots between self-worth ambivalence scores and fALFF in left superior parietal lobule and left OFC, respectively. Note: OFC = orbitofrontal cortex; lSPL = left superior parietal lobule.</p>
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<p>Functional connectivity linked with self-worth ambivalence. Self-worth ambivalence was positively related to the RSFC between the left superior parietal lobule (seed) and precuneus/posterior cingulate cortex (<b>A</b>). Scatter plots depicting a correlation between self-worth ambivalence and the connectivity between the left SPL and precuneus/PCC (<b>B</b>).</p>
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<p>Brain regions linked with moral ambivalence (<b>A</b>). Color bars represent R-values. (<b>B</b>,<b>C</b>) show positive scatter plots between moral ambivalence scores and fALFF in bilateral superior parietal lobule, respectively. Note: lSPL = left superior parietal lobule; rSPL = right superior parietal lobule; TPJ = temporoparietal junction.</p>
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<p>Functional connectivity linked with moral ambivalence. Moral ambivalence was positively associated with the strength of the RSFC between the left superior parietal lobule/ temporal-parietal junction (seed) and orbitofrontal cortex and between the right superior parietal lobule (seed) and bilateral middle temporal gyrus and bilateral inferior temporal gyrus (<b>A</b>). Scatter plots depicting correlations between moral ambivalence and the strength of lSPL-OFC, rSPL/TPJ-rMTG, rSPL/TPJ-lITG, rSPL/TPJ-rITG, and rSPL/TPJ-lMTG respectively (<b>B</b>–<b>F</b>). Note: OFC = orbitofrontal cortex; SPL = superior parietal lobule; MTG = right middle temporal gyrus; ITG = inferior temporal gyrus; TPJ = temporal–parietal junction.</p>
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15 pages, 1257 KiB  
Article
Neural Effects of One’s Own Voice on Self-Talk for Emotion Regulation
by Hye-jeong Jo, Chanmi Park, Eunyoung Lee, Jee Hang Lee, Jinwoo Kim, Sujin Han, Joohan Kim, Eun Joo Kim, Eosu Kim and Jae-Jin Kim
Brain Sci. 2024, 14(7), 637; https://doi.org/10.3390/brainsci14070637 - 26 Jun 2024
Viewed by 2398
Abstract
One’s own voice undergoes unique processing that distinguishes it from others’ voices, and thus listening to it may have a special neural basis for self-talk as an emotion regulation strategy. This study aimed to elucidate how neural effects of one’s own voice differ [...] Read more.
One’s own voice undergoes unique processing that distinguishes it from others’ voices, and thus listening to it may have a special neural basis for self-talk as an emotion regulation strategy. This study aimed to elucidate how neural effects of one’s own voice differ from those of others’ voices on the implementation of emotion regulation strategies. Twenty-one healthy adults were scanned using fMRI while listening to sentences synthesized in their own or others’ voices for self-affirmation and cognitive defusion, which were based on mental commitments to strengthen one’s positive aspects and imagining metaphoric actions to shake off negative aspects, respectively. The interaction effect between voice identity and strategy was observed in the superior temporal sulcus, middle temporal gyrus, and parahippocampal cortex, and activity in these regions showed that the uniqueness of one’s own voice is reflected more strongly for cognitive defusion than for self-affirmation. This interaction was also seen in the precuneus, suggesting intertwining of self-referential processing and episodic memory retrieval in self-affirmation with one’s own voice. These results imply that unique effects of one’s own voice may be expressed differently due to the degree of engagement of neural sharpening-related regions and self-referential networks depending on the type of emotion regulation. Full article
(This article belongs to the Section Neuropsychology)
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<p>The experiment overview: (<b>A</b>) Four experimental conditions, such as the own-voice and self-affirmation, the own-voice and cognitive defusion, the other-voice and self-affirmation, and the others-voice and cognitive defusion conditions. (<b>B</b>) Schematic diagram of the experimental procedure, including participant visitation and preparation of experimental stimuli. (<b>C</b>) Screen composition and sequence in the emotional influence assessment task.</p>
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<p>Behavioral responses in four experimental and two control conditions: own-voice and self-affirmation (Own-SA), own-voice and cognitive defusion (Own-CD), own-voice and neutral (Own-NU), other-voice and self-affirmation (Other-SA), other-voice and cognitive defusion (Other-CD), and other-voice and neutral (Other-NU) conditions. ** <span class="html-italic">p</span> &lt; 0.01, *** <span class="html-italic">p</span> &lt; 0.001.</p>
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<p>Brain regions showing the interaction effect between voice identity and emotion regulation strategy and comparisons of regional activity according to the four conditions of own or other-voice and self-affirmation (SA) or cognitive defusion (CD). * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01, *** <span class="html-italic">p</span> &lt; 0.001.</p>
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<p>Significant correlations between regional activity and psychological assessments in the brain regions showing the interaction effect between voice identity and emotion regulation strategy. The solid and dotted lines in the graph represent significant and non-significant results after Bonferroni correction, respectively. Abbreviation: B., bilateral; R., right; Own-CD, the own-voice cognitive defusion condition; Own-SA, the own-voice self-affirmation condition; RSES, Rosenberg Self-Esteem Scale; LOSC-ISC, Levels of Self-Criticism Scale–Internalized Self-Criticism.</p>
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12 pages, 3440 KiB  
Article
Tau Protein Accumulation Trajectory-Based Brain Age Prediction in the Alzheimer’s Disease Continuum
by Min Wang, Min Wei, Luyao Wang, Jun Song, Axel Rominger, Kuangyu Shi and Jiehui Jiang
Brain Sci. 2024, 14(6), 575; https://doi.org/10.3390/brainsci14060575 - 4 Jun 2024
Viewed by 1429
Abstract
Clinical cognitive advancement within the Alzheimer’s disease (AD) continuum is intimately connected with sustained accumulation of tau protein pathology. The biological brain age and its gap show great potential for pathological risk and disease severity. In the present study, we applied multivariable linear [...] Read more.
Clinical cognitive advancement within the Alzheimer’s disease (AD) continuum is intimately connected with sustained accumulation of tau protein pathology. The biological brain age and its gap show great potential for pathological risk and disease severity. In the present study, we applied multivariable linear support vector regression to train a normative brain age prediction model using tau brain images. We further assessed the predicted biological brain age and its gap for patients within the AD continuum. In the AD continuum, evaluated pathologic tau binding was found in the inferior temporal, parietal-temporal junction, precuneus/posterior cingulate, dorsal frontal, occipital, and inferior-medial temporal cortices. The biological brain age gaps of patients within the AD continuum were notably higher than those of the normal controls (p < 0.0001). Significant positive correlations were observed between the brain age gap and global tau protein accumulation levels for mild cognitive impairment (r = 0.726, p < 0.001), AD (r = 0.845, p < 0.001), and AD continuum (r = 0.797, p < 0.001). The pathologic tau-based age gap was significantly linked to neuropsychological scores. The proposed pathologic tau-based biological brain age model could track the tau protein accumulation trajectory of cognitive impairment and further provide a comprehensive quantification index for the tau accumulation risk. Full article
(This article belongs to the Special Issue Challenges and Perspectives of Neurological Disorders: Series II)
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<p>Group-average tau PET SUVR maps. Compared with NC group (<b>a</b>), there are significant and widespread pathologic tau accumulations in the MCI (<b>b</b>) and AD (<b>c</b>) groups. (<b>d</b>) Group differences of merged tau SUVR between NC, MCI, and AD. NC: normal control, MCI: mild cognitive impairment, AD: Alzheimer’s disease, SUVR: standardized uptake value ratio, ****: Post hoc <span class="html-italic">p</span> &lt; 0.0001.</p>
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<p>Brain age prediction on normal controls. (<b>a</b>) Regression plot showing chronological age versus predicted brain age; (<b>b</b>) Uncorrected brain age gap; (<b>c</b>) Brain age gap after bias correction.</p>
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<p>Pathologic tau-based brain age gap estimation for MCI and AD groups. (<b>a</b>) Violin plots of the corrected brain age gap for each diagnostic group. The corrected brain age gap of disease groups was compared with cognitively unimpaired individuals using a one-way ANOVA with post hoc Bonferroni’s correction. Tau-based brain age gap estimation for MCI (<b>b</b>) and AD (<b>c</b>). NC: normal control, MCI: mild cognitive impairment, AD: Alzheimer’s disease, ****: Post hoc <span class="html-italic">p</span> &lt; 0.0001.</p>
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<p>Association of brain age gap with merged tau SUVR in AD continuum. Scatter plots show the relationship between tau-based brain age gap with merged tau PET SUVR for MCI (<b>a</b>), AD (<b>b</b>), the whole AD continuum (<b>c</b>), respectively. MCI: mild cognitive impairment, AD: Alzheimer’s disease; SUVR: standardized uptake value ratio.</p>
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<p>Association of brain age gap with neuropsychological assessments in the AD continuum. Scatter plots show the relationship between tau-based brain age gap with MMSE score (<b>a</b>), MOCA score (<b>b</b>), ADAS11 score (<b>c</b>), and ADAS13 score (<b>d</b>), respectively. ADAS11, Alzheimer’s Disease Assessment Scale Cognitive 11 items; ADAS13, Alzheimer’s Disease Assessment Scale Cognitive 13 items; MMSE, mini-mental status exam; MOCA, Montreal Cognitive Assessment.</p>
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14 pages, 973 KiB  
Article
The Mediterranean Diet in Pregnancy: Implications for Maternal Brain Morphometry in a Secondary Analysis of the IMPACT BCN Randomized Clinical Trial
by Ayako Nakaki, Yvan Gomez, Sara Castro-Barquero, Allegra Conti, Kilian Vellvé, Irene Casas, Mariona Genero, Lina Youssef, Laura Segalés, Leticia Benitez, Rosa Casas, Eduard Vieta, Nuria Bargallo, Nicola Toschi, Ramon Estruch, Fàtima Crispi, Eduard Gratacos and Francesca Crovetto
Nutrients 2024, 16(11), 1604; https://doi.org/10.3390/nu16111604 - 24 May 2024
Viewed by 1593
Abstract
Introduction: A Mediterranean diet has positive effects on the brain in mid-older adults; however, there is scarce information on pregnant individuals. We aimed to evaluate the effect of a structured Mediterranean diet intervention on the cortical structure of the maternal brain during pregnancy. [...] Read more.
Introduction: A Mediterranean diet has positive effects on the brain in mid-older adults; however, there is scarce information on pregnant individuals. We aimed to evaluate the effect of a structured Mediterranean diet intervention on the cortical structure of the maternal brain during pregnancy. Methods: This study was a secondary analysis of the IMPACT BCN, a randomized clinical trial with 1221 high-risk pregnant women randomly allocated into three groups at 19–23 weeks of gestation: Mediterranean diet intervention, a mindfulness-based stress reduction program, or usual care. Maternal brain magnetic resonance imaging was performed during the third trimester of pregnancy in a random subgroup of participants. For this study, data from the Mediterranean diet and usual groups were analyzed. Maternal dietary intake, adherence to the Mediterranean diet and metabolite biomarkers were evaluated using a food frequency questionnaire, a 17-item dietary screener and plasma/urine samples, respectively. Results: The cluster-wise analysis showed that the Mediterranean diet group participants (n = 34) had significantly larger surface areas in the right precuneus (90%CI: <0.0001–0.0004, p < 0.001) and left superior parietal (90%CI: 0.026–0.033, p = 0.03) lobules compared to the usual care group participants (n = 37). A larger right precuneus area was associated with high improvements in adherence to the Mediterranean diet, a high intake of walnuts and high concentrations of urinary hydroxytyrosol. A larger left superior parietal area was associated with a high intake of walnuts and high concentrations of urinary hydroxytyrosol. Conclusions: The promotion of a Mediterranean diet during pregnancy has a significant effect on maternal brain structure. Full article
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<p>Flowchart of the study population.</p>
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<p>Inflated maps of cortical surface area differences between Mediterranean diet and usual care groups. (<b>A</b>) Left superior parietal area, <span class="html-italic">p</span> = 0.03; (<b>B</b>) right precuneus area, <span class="html-italic">p</span> &lt; 0.001. Maternal brain surface in lateral, posterior and medial views. Images generated from a general linear model with total intracranial volume, age, magnetic resonance protocol and nulliparity. The color bar indicates logarithmic scale of <span class="html-italic">p</span> values (−log10). Red to yellow color reflects the increased surface area in the Mediterranean diet group participants as compared to usual care group participants.</p>
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15 pages, 1866 KiB  
Article
Genes Associated with Altered Brain Structure and Function in Obstructive Sleep Apnea
by Yijie Huang, Chong Shen, Wei Zhao, Youlan Shang, Yisong Wang, Hui-Ting Zhang, Ruoyun Ouyang and Jun Liu
Biomedicines 2024, 12(1), 15; https://doi.org/10.3390/biomedicines12010015 - 20 Dec 2023
Cited by 2 | Viewed by 2076
Abstract
Obstructive sleep apnea (OSA) has been widely reported to cause abnormalities in brain structure and function, but the genetic mechanisms behind these changes remain largely unexplored. Our research aims to investigate the relationship between sleep characteristics, cognitive impairments, genetic factors, and brain structure [...] Read more.
Obstructive sleep apnea (OSA) has been widely reported to cause abnormalities in brain structure and function, but the genetic mechanisms behind these changes remain largely unexplored. Our research aims to investigate the relationship between sleep characteristics, cognitive impairments, genetic factors, and brain structure and function in OSA. Using structural and resting-state functional magnetic resonance imaging data, we compared cortical morphology and spontaneous brain activity between 28 patients with moderate-to-severe OSA and 34 healthy controls (HCs) utilizing voxel-based morphology (VBM) and the amplitude of low-frequency fluctuations (ALFF) analyses. In conjunction with the Allen Human Brain Atlas, we used transcriptome-neuroimaging spatial correlation analyses to investigate gene expression patterns associated with changes in gray matter volume (GMV) and ALFF in OSA. Compared to the HCs, the OSA group exhibited increased ALFF values in the left hippocampus (t = 5.294), amygdala (t = 4.176), caudate (t = 4.659), cerebellum (t = 5.896), and decreased ALFF values in the left precuneus (t = −4.776). VBM analysis revealed increased GMV in the right inferior parietal lobe (t = 5.158) in OSA. Additionally, functional enrichment analysis revealed that genes associated with both ALFF and GMV cross-sampling were enriched in gated channel activity and synaptic transmission, glutamatergic synapse, and neuron. Full article
(This article belongs to the Special Issue Brain Imaging and Cognitive Deficits in Psychiatric Disorders)
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<p>The participant recruitment process flowchart. Abbreviations: OSA, obstructive sleep apnoea.</p>
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<p>Functional decoding of ALFF-altered and GMV-changed brain areas. (<b>A</b>) Red and blue colors, respectively, represent areas of significantly higher and lower ALFF in OSA patients compared to healthy controls. After Gaussian random field (GRF) theory correction, all statistical significance of ALFF complied with a 2-tailed voxel-wise <span class="html-italic">p</span> value &lt; 0.001 and a cluster-level <span class="html-italic">p</span> value &lt; 0.05. The number in the upper left corner of the brain represents the z-coordinate in MNI spatial coordinates. (<b>B</b>) Word clouds showing cognitive terms associated with ALFF and (<b>C</b>) GMV brain differences using the Neurosynth Red and blue represent cognitive terms associated with regions that show significantly higher and lower ALFF/GMV, respectively.</p>
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<p>GO analysis for genetic crossover samples associated with both ALFF and GMV changes. GO analysis for genes associated with both ALFF and GMV changes in OSA patients compared to healthy controls showed significant functional enrichment in molecular functions, biological processes, and cellular components. (<b>A</b>) The results of the GO enrichment analysis are shown in Circos plots. (<b>B</b>) GO enrichment analysis results are shown as bubble plots. Abbreviations: MF, molecular functions; CC, cellular component; BP, biological process; colors indicate q-value.</p>
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<p>Correlation between neuroimaging metric alterations and clinical parameters. (<b>A</b>) ALFF values in the left caudate were significantly negatively correlated with the Stroop word test in OSA; (<b>B</b>) ALFF values in the left Stroop color test were significantly negatively correlated with the Stroop color test in OSA; (<b>C</b>) ALFF values in the left cerebellum were significantly positively correlated with REM-AHI in OSA. Abbreviations: ALFF, amplitude of low-frequency fluctuation; REM-AHI, apnea-hypopnea index during rapid eye movement stage; L, left; OSA, obstructive sleep apnoea.</p>
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12 pages, 1700 KiB  
Article
Association between Gray and White Matter Lesions and Its Involvement in Clinical Symptoms of Alzheimer’s-Type Dementia
by Taizen Nakase, Benjamin Thyreau, Yasuko Tatewaki, Naoki Tomita, Yumi Takano, Michiho Muranaka and Yasuyuki Taki
J. Clin. Med. 2023, 12(24), 7642; https://doi.org/10.3390/jcm12247642 - 12 Dec 2023
Cited by 1 | Viewed by 1585
Abstract
Background: Not only gray matter lesions (GMLs) but also white matter lesions (WMLs) can play important roles in the pathology of Alzheimer’s disease (AD). The progression of cognitive impairment (CI) and behavioral and psychological symptoms of dementia (BPSD) might be caused by a [...] Read more.
Background: Not only gray matter lesions (GMLs) but also white matter lesions (WMLs) can play important roles in the pathology of Alzheimer’s disease (AD). The progression of cognitive impairment (CI) and behavioral and psychological symptoms of dementia (BPSD) might be caused by a concerted effect of both GML and WML. Objective: This study aimed to investigate the association between GML and WML and how they are involved in the symptoms of CI and BPSD in dementia patients by means of imaging technology. Methods: Patients in our memory clinic, who were diagnosed with AD-type dementia or amnestic mild cognitive impairment (aMCI) and had undergone both single-photon emission computed tomography (SPECT) and brain MRI, were consecutively enrolled (n = 156; 61 males and 95 females; 79.8 ± 7.4 years old). Symptoms of CI and BPSD were obtained from patients’ medical records. For the analysis of GMLs and WMLs, SPECT data and MRI T1-weighted images were used, respectively. This study followed the Declaration of Helsinki, and all procedures were approved by the institutional ethics committee. Results: According to a multivariate analysis, disorientation and disturbed attention demonstrated a relationship between the precuneus and WMLs in both hemispheres. Hyperactivity in BPSD showed multiple correlations between GMLs on both sides of the frontal cortex and WMLs. Patients with aMCI presented more multiple correlations between GMLs and WMLs compared with those with AD-type dementia regarding dementia symptoms including BPSD. Conclusion: The interaction between GMLs and WMLs may vary depending on the symptoms of CI and BPSD. Hyperactivity in BPSD may be affected by the functional relationship between GMLs and WMLs in the left and right hemispheres. The correlation between GMLs and WMLs may be changing in AD-type dementia and aMCI. Full article
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<p>Correlation between severity of WMLs and age. There was a significant correlation between age and PVWML volume in anterior horn of lateral ventricle (<b>A</b>). The formula of regression line on the left is Y = 119.5X − 6240; <span class="html-italic">r</span> = 0.361; <span class="html-italic">p</span> &lt; 0.001. The formula on the right is Y = 127.7X − 6516; <span class="html-italic">r</span> = 0.346; <span class="html-italic">p</span> &lt; 0.001. There was a significant correlation between age and PVWML volume in posterior horn of lateral ventricle (<b>B</b>). The formula of regression line on the left is Y = 27.4X − 1272; <span class="html-italic">r</span> = 0.245; <span class="html-italic">p</span> = 0.002. The formula on the right is Y = 28.6X − 1268; <span class="html-italic">r</span> = 0.265; <span class="html-italic">p</span> = 0.001. There was a significant correlation between age and DWML volume in frontal lobe (<b>C</b>). The formula of regression line on the left is Y = 56.0X − 3345; <span class="html-italic">r</span> = 0.245; <span class="html-italic">p</span> = 0.003. The formula on the right is Y = 45.8X − 2658; <span class="html-italic">r</span> = 0.224; <span class="html-italic">p</span> = 0.004. There was a significant correlation between age and DWML volume in parieto-occipital lobe (<b>D</b>). The formula of regression line on the left is Y = 74.0X − 3787; <span class="html-italic">r</span> = 0.224; <span class="html-italic">p</span> = 0.006. The formula on the right is Y = 80.4X − 4193; <span class="html-italic">r</span> = 0.245; <span class="html-italic">p</span> = 0.003. Gray and black dots indicate data for left and right sides, respectively. Dotted and solid lines indicate the regression lines of left and right sides, respectively.</p>
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<p>Significant correlations between GMLs and WMLs in each symptom (<b>A</b>) disorientation, (<b>B</b>) disturbed attention, (<b>C</b>) memory disturbance, (<b>D</b>) disorder of spatial perception, (<b>E</b>) impairment of language skill, (<b>F</b>) hypoactivity, and (<b>G</b>) hyperactivity. Significant correlation is shown by solid line between two lesions. Statistical data of each line are presented in <a href="#app1-jcm-12-07642" class="html-app">Supplementary Tables</a>. Sup.: superior; mid.: middle; med.: medial; post.: posterior; ant.: anterior; P-O: parieto-occipital.</p>
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<p>Significant correlations between GMLs and WMLs in each symptom (<b>A</b>) disorientation, (<b>B</b>) disturbed attention, (<b>C</b>) memory disturbance, (<b>D</b>) disorder of spatial perception, (<b>E</b>) impairment of language skill, (<b>F</b>) hypoactivity, and (<b>G</b>) hyperactivity. Significant correlation is shown by solid line between two lesions. Statistical data of each line are presented in <a href="#app1-jcm-12-07642" class="html-app">Supplementary Tables</a>. Sup.: superior; mid.: middle; med.: medial; post.: posterior; ant.: anterior; P-O: parieto-occipital.</p>
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15 pages, 3022 KiB  
Article
Effects of rTMS Intervention on Functional Neuroimaging Activities in Adolescents with Major Depressive Disorder Measured Using Resting-State fMRI
by Fengmei Lu, Qian Cui, Yang Zou, Yuanhong Guo, Wei Luo, Yue Yu, Jingjing Gao, Xiao Cai, Linna Fu, Shuai Yuan, Juan Huang, Yajun Zhang, Jing Xie, Wei Sheng, Qin Tang, Qing Gao, Zongling He and Huafu Chen
Bioengineering 2023, 10(12), 1374; https://doi.org/10.3390/bioengineering10121374 - 29 Nov 2023
Cited by 2 | Viewed by 2215
Abstract
Repetitive transcranial magnetic stimulation (rTMS) to the left dorsolateral prefrontal cortex (L-DLPFC) is commonly used for the clinical treatment of major depressive disorder (MDD). The neuroimaging biomarkers and mechanisms of rTMS are still not completely understood. This study aimed to explore the functional [...] Read more.
Repetitive transcranial magnetic stimulation (rTMS) to the left dorsolateral prefrontal cortex (L-DLPFC) is commonly used for the clinical treatment of major depressive disorder (MDD). The neuroimaging biomarkers and mechanisms of rTMS are still not completely understood. This study aimed to explore the functional neuroimaging changes induced by rTMS in adolescents with MDD. A total of ten sessions of rTMS were administrated to the L-DLPFC in thirteen adolescents with MDD once a day for two weeks. All of them were scanned using resting-state functional magnetic resonance imaging at baseline and after rTMS treatment. The regional homogeneity (ReHo), amplitude of low-frequency fluctuation (ALFF), and the subgenual anterior cingulate cortex (sgACC)-based functional connectivity (FC) were computed as neuroimaging indicators. The correlation between changes in the sgACC-based FC and the improvement in depressive symptoms was also analyzed. After rTMS treatment, ReHo and ALFF were significantly increased in the L-DLPFC, the left medial prefrontal cortex, bilateral medial orbital frontal cortex, and the left ACC. ReHo and ALFF decreased mainly in the left middle occipital gyrus, the right middle cingulate cortex (MCC), bilateral calcarine, the left cuneus, and the left superior occipital gyrus. Furthermore, the FCs between the left sgACC and the L-DLPFC, the right IFGoper, the left MCC, the left precuneus, bilateral post-central gyrus, the left supplementary motor area, and the left superior marginal gyrus were enhanced after rTMS treatment. Moreover, the changes in the left sgACC-left MCC FC were associated with an improvement in depressive symptoms in early improvers. This study showed that rTMS treatment in adolescents with MDD causes changes in brain activities and sgACC-based FC, which may provide basic neural biomarkers for rTMS clinical trials. Full article
(This article belongs to the Special Issue Recent Technologies in Neuroimaging and Brain Intervention of PDs)
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<p>Spatial distribution patterns of ReHo in adolescents with MDD pre-rTMS (<b>A</b>) and post-rTMS (<b>B</b>) treatment. Warm colors represent that ReHo was higher than the whole brain level, while cool colors show that ReHo was lower than the whole brain level (<span class="html-italic">p</span> &lt; 0.001, FDR correction). (<b>C</b>) ReHo differences in adolescents with MDD pre-rTMS and post-rTMS. Warm colors represent that the values were higher in post-rTMS than those in pre-rTMS, while cool colors show that the values were lower in post-rTMS than those in pre-rTMS (<span class="html-italic">p</span> &lt; 0.05, AlphaSim correction).</p>
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<p>Spatial distribution patterns of ALFF in adolescents with MDD pre-rTMS (<b>A</b>) and post-rTMS (<b>B</b>) treatment. Warm colors represent that ALFF was higher than the whole brain level, while cool colors show that ReHo was lower than the whole brain level (<span class="html-italic">p</span> &lt; 0.001, FDR correction). (<b>C</b>) ALFF differences in adolescents with MDD pre-rTMS and post-rTMS. Warm colors represent that the values were higher in post-rTMS than those in pre-rTMS, while cool colors show that the values were lower in post-rTMS than those in pre-rTMS (<span class="html-italic">p</span> &lt; 0.05, AlphaSim correction).</p>
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<p>The sgACC-based FC patterns in adolescents with MDD pre-rTMS (<b>A</b>) and post-rTMS (<b>B</b>) treatment. The green dots represent the seed of sgACC. (<b>C</b>) Increased FC after rTMS treatment (<span class="html-italic">p</span> &lt; 0.05, AlphaSim corrected). (<b>D</b>) The increased FC between the left sgACC and left MCC was positively associated with the ratio of HAMD improvement in early improvers (including seven MDD patients) (<span class="html-italic">p</span> &lt; 0.05). The dotted line represents the 95% confidence interval.</p>
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11 pages, 3108 KiB  
Article
Decrease in Cerebral Blood Flow after Reoxygenation Is Associated with Neurological Syndrome Sequelae and Blood Pressure
by Yanqiu Liu, Fengjuan Yuan, Zhongwei Peng, Yadong Zhan, Jianzhong Lin, Ran Zhang and Jiaxing Zhang
Brain Sci. 2023, 13(11), 1600; https://doi.org/10.3390/brainsci13111600 - 17 Nov 2023
Cited by 1 | Viewed by 1423
Abstract
Changes in cerebral blood flow (CBF) and regulation of cerebral circulation occur at high altitude (HA). However, the changes in CBF and their associations with neurological syndrome sequelae and blood pressure after subjects return to the lowlands remain unclear. In this study, the [...] Read more.
Changes in cerebral blood flow (CBF) and regulation of cerebral circulation occur at high altitude (HA). However, the changes in CBF and their associations with neurological syndrome sequelae and blood pressure after subjects return to the lowlands remain unclear. In this study, the subjects were 23 college students who were teaching at an altitude of 4300 m for 30 days. These subjects were studied before reaching the HA (Test 1), one week after returning to the lowlands (Test 2), and three months after returning to the lowlands (Test 3). Symptom scores for de-acclimatization syndrome were evaluated. Changes in CBF were measured using the magnetic resonance imaging arterial spin labeling (ASL) technique. Additionally, the velocity of CBF in the cerebral arteries was measured using a transcranial doppler (TCD). In Test 2 vs. Test 1, the peak systolic velocity and mean velocity in the basilar artery were significantly decreased. CBF exhibited significant decreases in the left putamen/cerebellum crus1/vermis and right thalamus/inferior temporal gyrus, while significant increases were observed in the left postcentral gyrus/precuneus and right middle cingulate gyrus/superior frontal gyrus. In Test 3 vs. Test 1, the basilar artery velocity returned to the baseline level, while CBF continued to decrease. The mean global CBF showed a decreasing trend from Test 1 to Test 3. Furthermore, the mean global CBF had a negative correlation with the systolic pressure, pulse pressure, and mean arterial pressure. The decrease in CBF after reoxygenation may underlie the neurological symptoms in subjects returning to the lowlands. Increased blood pressure could serve as a predictor of a decrease in CBF. Full article
(This article belongs to the Section Systems Neuroscience)
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<p>Scores of neurological symptoms and other symptoms according to Test 2 and Test 3. Dotted line indicates the total scores of neurological symptoms and other symptoms.</p>
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<p>(<b>A</b>) Representative images of BA measurements according to Test 1, Test 2, and Test 3. (<b>B</b>) Quantification of blood velocity in the BA according to Test 1, Test 2, and Test 3. BA, basilar artery; Vs, peak systolic velocity; Vd, end-diastolic velocity; Vm, mean velocity. * <span class="html-italic">p</span> &lt; 0.05.</p>
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<p>CBF changes in Test 2 (<b>A</b>) and Test 3 (<b>B</b>) compared with Test 1. Red indicates an increase and blue indicates a decrease.</p>
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<p>(<b>A</b>) Mean global CBF in Test 1, Test 2, and Test 3. (<b>B</b>) Mean global CBF values in the subjects with (n = 15) and without (n = 8) neurological symptoms in Test 2. * <span class="html-italic">p</span> &lt; 0.05.</p>
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<p>Correlation of mean global CBF with blood pressure. Correlations of mean global CBF with systolic pressure (<b>A</b>), diastolic pressure (<b>B</b>), pulse pressure (<b>C</b>), and mean arterial pressure (<b>D</b>), respectively.</p>
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13 pages, 2766 KiB  
Article
Neurocognitive Adaptations for Spatial Orientation and Navigation in Astronauts
by Ford Burles and Giuseppe Iaria
Brain Sci. 2023, 13(11), 1592; https://doi.org/10.3390/brainsci13111592 - 15 Nov 2023
Cited by 3 | Viewed by 2429
Abstract
Astronauts often face orientation challenges while on orbit, which can lead to operator errors in demanding spatial tasks. In this study, we investigated the impact of long-duration spaceflight on the neural processes supporting astronauts’ spatial orientation skills. Using functional magnetic resonance imaging (fMRI), [...] Read more.
Astronauts often face orientation challenges while on orbit, which can lead to operator errors in demanding spatial tasks. In this study, we investigated the impact of long-duration spaceflight on the neural processes supporting astronauts’ spatial orientation skills. Using functional magnetic resonance imaging (fMRI), we collected data from 16 astronauts six months before and two weeks after their International Space Station (ISS) missions while performing a spatial orientation task that requires generating a mental representation of one’s surroundings. During this task, astronauts exhibited a general reduction in neural activity evoked from spatial-processing brain regions after spaceflight. The neural activity evoked in the precuneus was most saliently reduced following spaceflight, along with less powerful effects observed in the angular gyrus and retrosplenial regions of the brain. Importantly, the reduction in precuneus activity we identified was not accounted for by changes in behavioral performance or changes in grey matter concentration. These findings overall show less engagement of explicitly spatial neurological processes at postflight, suggesting astronauts make use of complementary strategies to perform some spatial tasks as an adaptation to spaceflight. These preliminary findings highlight the need for developing countermeasures or procedures that minimize the detrimental effects of spaceflight on spatial cognition, especially in light of planned long-distance future missions. Full article
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<p>The spatial configuration task and control task performed while we collected fMRI data from astronauts. The top-down view of a sample environment shown in Panel (<b>A</b>) depicts an example of how the camera would move from trial to trial in both tasks. Panel (<b>B</b>) depicts the participant’s perspective at a trial in either task, with the objects depicted at the top of the screen, indicating the response options available to the participant. Participants never see the environment from the perspective shown in Panel (<b>A</b>).</p>
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<p>Panel (<b>A</b>) depicts the eight brain regions with increased BOLD activity in astronauts while they performed the spatial configuration task. Panel (<b>B</b>) depicts the change in this spatial BOLD activity in each of the marked ROIs after a typical mission onboard the ISS as boxplots, where x indicates outliers and asterisks flag statistically significant effects. Regions 1 and 2, localized to the precuneus and left angular gyrus, respectively, exhibited statistically significant reductions in BOLD activity during a spatial task after spaceflight. <a href="#brainsci-13-01592-t001" class="html-table">Table 1</a> reports region labels for the numbered ROIs as well as associated statistics for these effects. Regions are numbered based on descending statistical significance, as reported in <a href="#brainsci-13-01592-t002" class="html-table">Table 2</a>. Panel (<b>C</b>) depicts a sagittal slice at MNI X −6 mm, with the spatial bold activity also depicted in Panel A shown in orange, and the change in spatial BOLD activity from preflight to postflight is shown in green. Panel (<b>D</b>) depicts the behavioral performance of participants on the spatial configuration task at preflight and postflight.</p>
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13 pages, 1080 KiB  
Article
Differences and Changes in Cerebellar Functional Connectivity of Parkinson’s Patients with Visual Hallucinations
by Liangcheng Qu, Chuan Liu, Yiting Cao, Jingping Shi, Kuiying Yin and Weiguo Liu
Brain Sci. 2023, 13(10), 1458; https://doi.org/10.3390/brainsci13101458 - 13 Oct 2023
Cited by 2 | Viewed by 1598
Abstract
Recent studies have discovered that functional connections are impaired in patients with Parkinson’s disease (PD) accompanied by hallucinations (PD-H), even at the preclinical stage. The cerebellum has been implicated in playing a role in cognitive processes. However, the functional connectivity (FC) between the [...] Read more.
Recent studies have discovered that functional connections are impaired in patients with Parkinson’s disease (PD) accompanied by hallucinations (PD-H), even at the preclinical stage. The cerebellum has been implicated in playing a role in cognitive processes. However, the functional connectivity (FC) between the cognitive sub-regions of the cerebellum in PD patients with hallucinations needs further clarification. Resting-state functional magnetic resonance imaging (rs-fMRI) data were collected from three groups (17 PD-H patients, 13 patients with Parkinson’s disease not accompanied by hallucinations (PD-NH), and 26 healthy controls (HC)). The data were collected in this study to investigate the impact of cerebellar FC changes on cognitive performance. Additionally, we define cerebellar FC as a training feature for classifying all subjects using Support Vector Machines (SVMs). We found that in the PD-H patients, there was an increase in FC within the left side of the precuneus (PCUN) compared to the HC. Additionally, there was an increase in FC within the bilateral opercular part of the inferior frontal gyrus (IFGoprec) and triangular part of the inferior frontal gyrus (IFCtriang), as well as the left side of the postcentral gyrus (PoCG), inferior parietal lobe (IPL), and PCUN compared to the PD-NH patients. In the machine learning training results, cerebellar FC has also been proven to be an effective biomarker feature, achieving a recognition rate of over 90% for PD-H. These findings indicate that the cortico-cerebellar FC in PD-H and PD-NH patients was significantly disrupted, with different patterns of distribution. The proposed pipeline offers a promising, low-cost alternative for diagnosing preclinical PD-H and may also be beneficial for other degenerative brain disorders. Full article
(This article belongs to the Collection Nonmotor Symptoms in Parkinson's Disease (PD))
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<p>Original T1 figures (<b>a</b>) HC; (<b>b</b>) PD-H; (<b>c</b>) PD-VH.</p>
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<p>Preprocessed original fMRI images (<b>a</b>) HC; (<b>b</b>) PD-H; (<b>c</b>) PD-VH.</p>
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<p>The axial and conronal views of seed regions. (<b>a</b>) Axial views of cerebellum; (<b>b</b>) axial views of vermis; (<b>c</b>) coronal views of cerebellum; (<b>d</b>) coronal views of vermis.</p>
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<p>FC connections with significant differences. (<b>a</b>) Axial sight of FC between the PD-H and HC groups; (<b>b</b>) axial sight of FC between the PD-H and PD-NH groups; (<b>c</b>) axial sight of FC between the PD-NH and HC groups; (<b>d</b>) coronal sight of FC between the PD-H and HC groups; (<b>e</b>) coronal sight of FC between the PD-H and PD-NH groups; (<b>f</b>) coronal sight of FC between the PD-NH and HC groups.</p>
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<p>ROC curves (<b>a</b>) Feature 1; (<b>b</b>) Feature 2; (<b>c</b>) Feature 3.</p>
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14 pages, 2536 KiB  
Article
Decreased Functional Connectivity of the Core Pain Matrix in Herpes Zoster and Postherpetic Neuralgia Patients
by Jiaojiao Yang, Xiaofeng Jiang, Lili Gu, Jiahao Li, Ying Wu, Linghao Li, Jiaxin Xiong, Huiting Lv, Hongmei Kuang and Jian Jiang
Brain Sci. 2023, 13(10), 1357; https://doi.org/10.3390/brainsci13101357 - 22 Sep 2023
Cited by 1 | Viewed by 1286
Abstract
The purpose of this study was to explore the resting-state functional connectivity (FC) changes among the pain matrix and other brain regions in herpes zoster (HZ) and postherpetic neuralgia (PHN) patients. Fifty-four PHN patients, 52 HZ patients, and 54 healthy controls (HCs) underwent [...] Read more.
The purpose of this study was to explore the resting-state functional connectivity (FC) changes among the pain matrix and other brain regions in herpes zoster (HZ) and postherpetic neuralgia (PHN) patients. Fifty-four PHN patients, 52 HZ patients, and 54 healthy controls (HCs) underwent resting-state functional magnetic resonance imaging (rs-fMRI) scans. We used a seed-based FC approach to investigate whether HZ and PHN patients exhibited abnormal FC between the pain matrix and other brain regions compared to HCs. A random forest (RF) model was constructed to explore the feasibility of potential neuroimaging indicators to distinguish the two groups of patients. We found that PHN patients exhibited decreased FCs between the pain matrix and the putamen, superior temporal gyrus, middle frontal gyrus, middle cingulate gyrus, amygdala, precuneus, and supplementary motor area compared with HCs. Similar results were observed in HZ patients. The disease durations of PHN patients were negatively correlated with those aforementioned impaired FCs. The results of machine learning experiments showed that the RF model combined with FC features achieved a classification accuracy of 75%. Disrupted FC among the pain matrix and other regions in HZ and PHN patients may affect multiple dimensions of pain processing. Full article
(This article belongs to the Special Issue Perfusion and Functional MRI in Basic and Clinical Neuroscience)
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<p>Brain areas indicating decreased functional connectivity between the right THA, left INS, and cerebral cortex in HZ patients compared to HCs. Notes: Gaussian random field correction, voxel-level <span class="html-italic">p</span> &lt; 0.001, cluster-level <span class="html-italic">p</span> &lt; 0.05, two-tailed. Abbreviations: L, left hemisphere; R, right hemisphere; THA, thalamus; INS, insula; HZ, herpes zoster; HCs, healthy controls.</p>
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<p>Brain areas indicating decreased functional connectivity between the THA, IPL, and cerebral cortex in PHN patients compared to HCs. Notes: Gaussian random field correction, voxel-level <span class="html-italic">p</span> &lt; 0.001, cluster-level <span class="html-italic">p</span> &lt; 0.05, two-tailed. Abbreviations: L, left hemisphere; R, right hemisphere; THA, thalamus; IPL, inferior parietal lobule; PHN, postherpetic neuralgia; HCs, healthy controls.</p>
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<p>Brain areas indicating decreased functional connectivity between the ACC, INS, and cerebral cortex in PHN patients compared to HCs. Notes: Gaussian random field correction, voxel-level <span class="html-italic">p</span> &lt; 0.001, cluster-level <span class="html-italic">p</span> &lt; 0.05, two-tailed. Abbreviations: L, left hemisphere; R, right hemisphere; ACC, anterior cingulate gyrus; INS, insula; PHN, postherpetic neuralgia; HCs, healthy controls.</p>
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<p>Brain areas indicating decreased functional connectivity between the M1, S1, and cerebral cortex in PHN patients compared to HCs. Notes: Gaussian random field correction, voxel-level <span class="html-italic">p</span> &lt; 0.001, cluster-level <span class="html-italic">p</span> &lt; 0.05, two-tailed. Abbreviations: L, left hemisphere; R, right hemisphere; M1, primary motor cortex; S1, primary sensory cortex; PHN, postherpetic neuralgia; HCs, healthy controls.</p>
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<p>Scatter plot of the correlation between clinical variables and altered functional connectivity. (<b>A</b>) Correlation results for the HZ group. (<b>B</b>–<b>H</b>) Correlation results for the PHN group. Abbreviations: L, left hemisphere; R, right hemisphere; THA, thalamus; PUT, putamen; INS, insula; MFG, middle frontal gyrus; PCUN, precuneus; M1, primary motor cortex; IPL, inferior parietal lobule; ITG, inferior temporal gyrus; S1, primary sensory cortex.</p>
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11 pages, 654 KiB  
Systematic Review
Transcranial Magnetic Stimulation (rTMS) on the Precuneus in Alzheimer’s Disease: A Literature Review
by Bruno Millet, Stéphane Mouchabac, Gabriel Robert, Redwan Maatoug, Thibaut Dondaine, Florian Ferreri and Alexis Bourla
Brain Sci. 2023, 13(9), 1332; https://doi.org/10.3390/brainsci13091332 - 15 Sep 2023
Cited by 3 | Viewed by 1940
Abstract
The current literature review aimed to evaluate the effectiveness of rTMS on the precuneus as a potential treatment for Alzheimer’s disease (AD). Although the number of studies specifically targeting the precuneus is limited, the results from this review suggest the potential benefits of [...] Read more.
The current literature review aimed to evaluate the effectiveness of rTMS on the precuneus as a potential treatment for Alzheimer’s disease (AD). Although the number of studies specifically targeting the precuneus is limited, the results from this review suggest the potential benefits of this approach. Future studies should focus on exploring the long-term effects of rTMS on the precuneus in Alzheimer’s disease patients, as well as determining the optimal stimulation parameters and protocols for this population. Additionally, investigating the effects of rTMS on the precuneus in combination with other brain regions implicated in AD may provide valuable insights into the development of effective treatment for this debilitating neurodegenerative disorder. Full article
(This article belongs to the Special Issue rTMS Research in Cognition: From Mice to Humans)
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<p>PRISMA diagram.</p>
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