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Epilepsia Open Jun 2021Recent neuroimaging studies have revealed differences in cortical and white matter brain structure in children with self-limiting rolandic epilepsy (RE). Despite this,...
OBJECTIVE
Recent neuroimaging studies have revealed differences in cortical and white matter brain structure in children with self-limiting rolandic epilepsy (RE). Despite this, reproducibility of the findings has been difficult, and there is no consensus about where and when structural differences are most apparent. We performed a systematic review of quantitative neuroimaging studies in children with RE to explore these questions.
METHODS
Using PRISMA guidelines, we used a multilayered search strategy to identify neuroimaging studies in RE. Publications were included if they were quantitative and derived from controlled group studies and passed a quality assessment. Findings of the studies were presented and stratified by duration of epilepsy and age of participants.
RESULTS
We identified six gray matter studies and five white matter studies. Consistent findings were found inside and outside the central sulcus, predominantly within the bilateral frontal and parietal lobes, striatal structures, such as the putamen and white matter, mainly involving the left superior longitudinal fasciculus and connections between the left pre- and postcentral gyrus. Stratification of the T1 studies by age found that cortical thickness differences varied between the under and over 10 year olds. Furthermore, the longer the duration of epilepsy, the less likely differences were detected. In white matter studies, there was a reduction in differences with increased age and duration of epilepsy.
SIGNIFICANCE
These findings would suggest that the development of regions of the cortex in children with RE is abnormal. These regions are more widespread than the suspected seizure onset zone. Moreover, the findings would suggest that these differences are evidence of neurodevelopmental delay rather than apparent "damage" from the epilepsy.
Topics: Child; Epilepsy, Rolandic; Gray Matter; Humans; Magnetic Resonance Imaging; Reproducibility of Results; White Matter
PubMed: 34033258
DOI: 10.1002/epi4.12468 -
Journal of Parkinson's Disease 2021The hallmark of Parkinson's disease is depletion of dopamine in the basal ganglia. Models of Parkinson's disease include dopamine as a contributor to disease... (Meta-Analysis)
Meta-Analysis
BACKGROUND
The hallmark of Parkinson's disease is depletion of dopamine in the basal ganglia. Models of Parkinson's disease include dopamine as a contributor to disease progression. However, intraneuronal levels of dopamine have not been reported.
OBJECTIVE
Meta-analytic methods were utilized to determine intracellular dopamine levels in Parkinson's disease.
METHODS
A systematic review of the literature and frequentist meta-analyses were performed. Dopamine levels were scaled for cell and axon numbers as well as VMAT2 protein levels.
RESULTS
Reduced tissue dopamine, dopaminergic cell bodies and VMAT2 protein were confirmed. The ratio of Parkinson's to normal brain intracellular dopamine scaled for either cell or axon number, each with VMAT2 level in the caudate ranged from 1.49 to 1.87 (p = 0.51 and p = 0.12, respectively) and in the putamen from 0.75 to 4.61 (p = 0.40 and 0.001, respectively).
CONCLUSION
Free, intracellular dopamine levels are not reduced in Parkinson's disease compared to normals to a similar degree as are total tissue concentrations, supporting the relevance of modulating VMAT2, neuromelanin and/or dopamine synthesis as rational neuroprotective strategies.
Topics: Basal Ganglia; Dopamine; Dopaminergic Neurons; Humans; Parkinson Disease; Putamen
PubMed: 34024786
DOI: 10.3233/JPD-212715 -
Neuropsychology Review Sep 2022Fatigue is one of the most debilitating symptoms for people with multiple sclerosis (PwMS). By consolidating a diverse and conflicting evidence-base, this systematic... (Meta-Analysis)
Meta-Analysis Review
Fatigue is one of the most debilitating symptoms for people with multiple sclerosis (PwMS). By consolidating a diverse and conflicting evidence-base, this systematic review and meta-analysis aimed to gain new insights into the neurobiology of MS fatigue. MEDLINE, ProQuest, CINAHL, Web of Science databases and grey literature were searched using Medical Subject Headings. Eligible studies compared neuroimaging and neurophysiological data between people experiencing high (MS-HF) versus low (MS-LF) levels of perceived MS fatigue, as defined by validated fatigue questionnaire cut-points. Data were available from 66 studies, with 46 used for meta-analyses. Neuroimaging studies revealed lower volumetric measures in MS-HF versus MS-LF for whole brain (-22.74 ml; 95% CI: -37.72 to -7.76 ml; p = 0.003), grey matter (-18.81 ml; 95% CI: -29.60 to -8.03 ml; p < 0.001), putamen (-0.40 ml; 95% CI: -0.69 to -0.10 ml; p = 0.008) and acumbens (-0.09 ml; 95% CI: -0.15 to -0.03 ml; p = 0.003) and a higher volume of T1-weighted hypointense lesions (1.10 ml; 95% CI: 0.47 to 1.73 ml; p < 0.001). Neurophysiological data showed reduced lower-limb maximum voluntary force production (-19.23 N; 95% CI: -35.93 to -2.53 N; p = 0.02) and an attenuation of upper-limb (-5.77%; 95% CI:-8.61 to -2.93%; p < 0.0001) and lower-limb (-2.16%; 95% CI:-4.24 to -0.07%; p = 0.04) skeletal muscle voluntary activation, accompanied by more pronounced upper-limb fatigability (-5.61%; 95% CI: -9.57 to -1.65%; p = 0.006) in MS-HF versus MS-LF. Results suggest that MS fatigue is characterised by greater cortico-subcortical grey matter atrophy and neural lesions, accompanied by neurophysiological decrements, which include reduced strength and voluntary activation. Prospero registration Prospero registration number: CRD42016017934.
Topics: Brain; Cross-Sectional Studies; Fatigue; Humans; Multiple Sclerosis; Organ Size
PubMed: 33961198
DOI: 10.1007/s11065-021-09508-1 -
AJNR. American Journal of Neuroradiology Jul 2021Neurologic events have been reported in patients with coronavirus disease 2019 (COVID-19). However, a model-based evaluation of the spatial distribution of these events...
BACKGROUND
Neurologic events have been reported in patients with coronavirus disease 2019 (COVID-19). However, a model-based evaluation of the spatial distribution of these events is lacking.
PURPOSE
Our aim was to quantitatively evaluate whether a network diffusion model can explain the spread of small neurologic events.
DATA SOURCES
The MEDLINE, EMBASE, Scopus, and LitCovid data bases were searched from January 1, 2020, to July 19, 2020.
STUDY SELECTION
Thirty-five case series and case studies reported 317 small neurologic events in 123 unique patients with COVID-19.
DATA ANALYSIS
Neurologic events were localized to gray or white matter regions of the Illinois Institute of Technology (gray-matter and white matter) Human Brain Atlas using radiologic images and descriptions. The total proportion of events was calculated for each region. A network diffusion model was implemented, and any brain regions showing a significant association (< .05, family-wise error-corrected) between predicted and measured events were considered epicenters.
DATA SYNTHESIS
Within gray matter, neurologic events were widely distributed, with the largest number of events (∼10%) observed in the bilateral superior temporal, precentral, and lateral occipital cortices, respectively. Network diffusion modeling showed a significant association between predicted and measured gray matter events when the spread of pathology was seeded from the bilateral cerebellum (=0.51, < .001, corrected) and putamen (=0.4, = .02, corrected). In white matter, most events (∼26%) were observed within the bilateral corticospinal tracts.
LIMITATIONS
The risk of bias was not considered because all studies were either case series or case studies.
CONCLUSIONS
Transconnectome diffusion of pathology via the structural network of the brain may contribute to the spread of neurologic events in patients with COVID-19.
Topics: Brain; COVID-19; Cerebral Cortex; Gray Matter; Humans; Magnetic Resonance Imaging; White Matter
PubMed: 33888458
DOI: 10.3174/ajnr.A7113 -
Journal of Clinical Neuroscience :... May 2021Eyelid closing or opening disorders have been only sporadically described in patients with focal brain lesions over the last decades. Furthermore, the restricted number...
Eyelid closing or opening disorders have been only sporadically described in patients with focal brain lesions over the last decades. Furthermore, the restricted number of reports and the lack of uniform clinical assessment of affected individuals did not allow to define more in depth the clinical features and the underlying neural correlates of these uncommon clinical disorders. Here we report an 89-years old woman with a right hemispheric lesion who showed a contralesional defect of eyelid closure. We also include a video neuroimage of this case and a review of eyelid closing and opening disorders in patients with focal unilateral lesions. In this review we found a correlation between right hemisphere and eyelid motor control, particularly for apraxia of eyelid closure affecting only the contralesional eye. The right parietal lobe was most frequently affected in this unilateral form of eyelid closing disorders, whereas putamen and other subcortical structures were more involved in eyelid opening than in eyelid closing disorders. The relations between unilateral eyelid closing disorders and other forms of motor-intentional defects are shortly discussed.
Topics: Aged; Aged, 80 and over; Apraxias; Brain Injuries; Eyelid Diseases; Eyelids; Female; Humans; Male; Middle Aged; Parietal Lobe
PubMed: 33863537
DOI: 10.1016/j.jocn.2021.02.020 -
Sleep Medicine Reviews Aug 2021Sleep disturbances are commonly reported in patients with chronic liver disease (CLD). Changes in quality of sleep in patients with CLD could be related to multiple... (Meta-Analysis)
Meta-Analysis Review
Sleep disturbances are commonly reported in patients with chronic liver disease (CLD). Changes in quality of sleep in patients with CLD could be related to multiple factors viz., elevated levels of tryptophan, histamine, and increased turnover of dopamine in caudate-putamen and cingulate cortex. Also, iron metabolism disturbances are reported in patients with CLD. These changes may result in restless legs syndrome (RLS) that worsens sleep-quality. There have been reports suggesting an increased prevalence of RLS among patients with CLD. Literature was searched in PubMed, EMBASE, and Google Scholar. A total of twenty-two relevant articles were found. Out of these, nine studies have assessed the prevalence of RLS among patients with chronic liver disease or cirrhosis in the clinical population. Population prevalence reported from various studies was used to calculate odds ratio. Having included studies using various methods for diagnosis (clinical as well as questionnaires) pooled odds-ratio for the RLS was 8.62. It remains unaffected by study-method, gender, age, and geographical-area. However, studies using clinical diagnosis for RLS had lower odds compared to questionnaire based diagnosis. Studies varied with regards to diagnostic methods, age, gender, etiology, and severity of liver dysfunction. The severity and etiology of CLD and biochemical correlate of CLD were not found to be associated with RLS. Possible pathophysiological mechanisms are discussed for the occurrence of RLS in this population. In conclusion, the prevalence of RLS is higher among patients with CLD, however, the correlates are unknown.
Topics: Humans; Liver Diseases; Prevalence; Restless Legs Syndrome; Sleep Wake Disorders; Surveys and Questionnaires
PubMed: 33836477
DOI: 10.1016/j.smrv.2021.101463 -
Translational Psychiatry Jan 2021Substance use disorders (SUDs) are characterized by a compulsion to seek and consume one or more substances of abuse, with a perceived loss of control and a negative... (Meta-Analysis)
Meta-Analysis
Substance use disorders (SUDs) are characterized by a compulsion to seek and consume one or more substances of abuse, with a perceived loss of control and a negative emotional state. Prolonged substance use seems to be associated with morphological changes of multiple neural circuits, in particular the frontal-striatal and limbic pathways. Such neuroadaptations are evident across several substance disorders, but may vary depending on the type of substance, consumption severity and/or other unknown factors. We therefore identified studies investigating the effects of SUDs using volumetric whole-brain voxel-based morphometry (VBM) in gray (GM) and white matter (WM). We performed a systematic review and meta-analysis of VBM studies using the anatomic likelihood estimation (ALE) method implemented in GingerALE (PROSPERO pre-registration CRD42017071222 ). Sixty studies met inclusion criteria and were included in the final quantitative meta-analysis, with a total of 614 foci, 94 experiments and 4938 participants. We found convergence and divergence in brain regions and volume effects (higher vs. lower volume) in GM and WM depending on the severity of the consumption pattern and type of substance used. Convergent pathology was evident across substances in GM of the insula, anterior cingulate cortex, putamen, and thalamus, and in WM of the thalamic radiation and internal capsule bundle. Divergent pathology between occasional use (cortical pathology) and addiction (cortical-subcortical pathology) provides evidence of a possible top-down neuroadaptation. Our findings indicate particular brain morphometry alterations in SUDs, which may inform our understanding of disease progression and ultimately therapeutic approaches.
Topics: Brain; Gray Matter; Humans; Magnetic Resonance Imaging; Neuroimaging; Substance-Related Disorders; White Matter
PubMed: 33431833
DOI: 10.1038/s41398-020-01128-2 -
Frontiers in Neuroscience 2020Brand love is a critical concept for building a relationship between brands and consumers because falling in love with a brand can lead to strong brand loyalty. Despite...
Brand love is a critical concept for building a relationship between brands and consumers because falling in love with a brand can lead to strong brand loyalty. Despite the importance of marketing strategies, however, the underlying neural mechanisms of brand love remain unclear. The present study used an activation likelihood estimation meta-analysis method to investigate the neural correlates of brand love and compared it with those of maternal and romantic love. In total, 47 experiments investigating brand, maternal, and romantic love were examined, and the neural systems involved for the three loves were compared and contrasted. Results revealed that the putamen and insula were commonly activated in the three loves. Moreover, activated brain regions in brand love were detected in the dorsal striatum. Activated regions for maternal love were detected in the cortical area and globus pallidus and were associated with pair bonds, empathy, and altruism. Finally, those for romantic love were detected in the hedonic, strong passionate, and intimate-related regions, such as the nucleus accumbens and ventral tegmental area. Thus, the common regions of brain activation between brand and romantic love were in the dorsal striatum. Meanwhile, no common activated regions were observed between brand and maternal love except for the regions shared among the three love types. Although brand love shared little with the two interpersonal (maternal and romantic) loves and relatively resembled aspects of romantic rather than maternal love, our results demonstrated that brand love may have intrinsically different dispositions from the two interpersonal loves.
PubMed: 33100955
DOI: 10.3389/fnins.2020.534671 -
PloS One 2020Iron is involved in many processes in the brain including, myelin generation, mitochondrial function, synthesis of ATP and DNA and the cycling of neurotransmitters....
Iron is involved in many processes in the brain including, myelin generation, mitochondrial function, synthesis of ATP and DNA and the cycling of neurotransmitters. Disruption of normal iron homeostasis can result in iron accumulation in the brain, which in turn can partake in interactions which amplify oxidative damage. The development of MRI techniques for quantifying brain iron has allowed for the characterisation of the impact that brain iron has on cognition and neurodegeneration. This review uses a systematic approach to collate and evaluate the current literature which explores the relationship between brain iron and cognition. The following databases were searched in keeping with a predetermined inclusion criterion: Embase Ovid, PubMed and PsychInfo (from inception to 31st March 2020). The included studies were assessed for study characteristics and quality and their results were extracted and summarised. This review identified 41 human studies of varying design, which statistically assessed the relationship between brain iron and cognition. The most consistently reported interactions were in the Caudate nuclei, where increasing iron correlated poorer memory and general cognitive performance in adulthood. There were also consistent reports of a correlation between increased Hippocampal and Thalamic iron and poorer memory performance, as well as, between iron in the Putamen and Globus Pallidus and general cognition. We conclude that there is consistent evidence that brain iron is detrimental to cognitive health, however, more longitudinal studies will be required to fully understand this relationship and to determine whether iron occurs as a primary cause or secondary effect of cognitive decline.
Topics: Adult; Aged; Aged, 80 and over; Brain; Child; Cognition; Female; Humans; Iron; Male; Middle Aged
PubMed: 33057378
DOI: 10.1371/journal.pone.0240697 -
Psychiatry Research. Neuroimaging Jan 2021Differentiating bipolar disorder from unipolar depression is one of the most difficult clinical questions posed in pediatric psychiatric practices, as misdiagnosis can...
Differentiating bipolar disorder from unipolar depression is one of the most difficult clinical questions posed in pediatric psychiatric practices, as misdiagnosis can lead to severe repercussions for the affected child. This study aimed to examine the existing literature that investigates brain differences between bipolar and unipolar mood disorders in children directly, across all neuroimaging modalities. We performed a systematic literature search through PubMed, PsycINFO, Embase, and Medline databases with defined inclusion and exclusion criteria. Nine research studies were included in the systematic qualitative review, including three structural MRI studies, five functional MRI studies, and one MR spectroscopy study. Relevant variables were extracted and brain differences between bipolar and unipolar mood disorders in children as well as healthy controls were qualitatively analyzed. Across the nine studies, our review included 228 subjects diagnosed with bipolar disorder, 268 diagnosed with major depressive disorder, and 299 healthy controls. Six of the reviewed studies differentiated between bipolar and unipolar mood disorders. Differentiation was most commonly found in the anterior cingulate cortex (ACC), insula, and dorsal striatum (putamen and caudate) brain areas. Despite its importance, the current neuroimaging literature on this topic is scarce and presents minimal generalizability.
Topics: Adolescent; Bipolar Disorder; Child; Depressive Disorder, Major; Gyrus Cinguli; Humans; Magnetic Resonance Imaging; Neuroimaging
PubMed: 33046342
DOI: 10.1016/j.pscychresns.2020.111201