More Like this

1. Cerebellar atrophy and its contribution to cognition in frontotemporal dementias

   https://doi.org/10.1002/ana.25271  

   Chen, Yu ; Kumfor, Fiona ; Landin‐Romero, Ramon ; Irish, Muireann ; Hodges, John R. ; Piguet, Olivier ( August 2018 , Annals of Neurology)

   Increasing evidence suggests that cerebellar damage impacts on cognitive functions. Frontotemporal dementias (FTDs) are neurodegenerative brain conditions, primarily affecting the frontal and/or temporal lobe. Three main phenotypes are recognized, each with a distinct clinical and cognitive profile: behavioral‐variant FTD (bvFTD), semantic dementia (SD), and progressive nonfluent aphasia (PNFA). The severity of cerebellar changes and their relation to cognition in FTD, however, remain unclear. This study aimed to establish cerebellar gray matter changes on magnetic resonance imaging (MRI) and their relation to profiles of cognitive deficits in FTD subtypes.

   Ninety‐six FTD patients (45 bvFTD, 28 SD, and 23 PNFA), meeting current clinical diagnostic criteria, and 35 age‐, sex‐, and education‐matched controls underwent brain MRI and cognitive assessment. Cerebral and cerebellar gray matter integrity were investigated using voxel‐based morphometry.

   Compared with controls, widespread bilateral cerebellar changes were observed in all FTD subtypes, with the greatest atrophy present in bvFTD. Significant associations were found between cerebellar integrity and cognitive performance in attention and working memory in bvFTD, visuospatial function in SD, and language‐motor function in PNFA. Bilateral atrophy of crus and lobule VI were most commonly associated with cognitive deficits, irrespective of FTD phenotype.

   This study is the first to identify distinct patterns of cerebellar atrophy across FTD syndromes, which in turn relate to discrete cognitive dysfunctions, after accounting for the effect of cerebral atrophy. These findings extend our understanding of the cerebellum and point to its involvement across an array of processes beyond the domain of motor function. Ann Neurol 2018;83:98–109

    

   more » « less
2. Dynamic functional network connectivity in Huntington's disease and its associations with motor and cognitive measures

   https://doi.org/10.1002/hbm.24504  

   Espinoza, Flor A. ; Liu, Jingyu ; Ciarochi, Jennifer ; Turner, Jessica A. ; Vergara, Victor M. ; Caprihan, Arvind ; Misiura, Maria ; Johnson, Hans J. ; Long, Jeffrey D. ; Bockholt, Jeremy H. ; et al ( January 2019 , Human Brain Mapping)

   Dynamic functional network connectivity (dFNC) is an expansion of traditional, static FNC that measures connectivity variation among brain networks throughout scan duration. We used a large resting‐state fMRI (rs‐fMRI) sample from the PREDICT‐HD study (N = 183 Huntington disease gene mutation carriers [HDgmc] andN = 78 healthy control [HC] participants) to examine whole‐brain dFNC and its associations with CAG repeat length as well as the product of scaled CAG length and age, a variable representing disease burden. We also tested for relationships between functional connectivity and motor and cognitive measurements. Group independent component analysis was applied to rs‐fMRI data to obtain whole‐brain resting state networks. FNC was defined as the correlation between RSN time‐courses. Dynamic FNC behavior was captured using a sliding time window approach, and FNC results from each window were assigned to four clusters representing FNC states, using a k‐means clustering algorithm. HDgmc individuals spent significantly more time in State‐1 (the state with the weakest FNC pattern) compared to HC. However, overall HC individuals showed more FNC dynamism than HDgmc. Significant associations between FNC states and genetic and clinical variables were also identified. In FNC State‐4 (the one that most resembled static FNC), HDgmc exhibited significantly decreased connectivity between the putamen and medial prefrontal cortex compared to HC, and this was significantly associated with cognitive performance. In FNC State‐1, disease burden in HDgmc participants was significantly associated with connectivity between the postcentral gyrus and posterior cingulate cortex, as well as between the inferior occipital gyrus and posterior parietal cortex.

    

   more » « less
3. Associations between grip strength, brain structure, and mental health in > 40,000 participants from the UK Biobank

   https://doi.org/10.1186/s12916-022-02490-2  

   Jiang, Rongtao ; Westwater, Margaret L. ; Noble, Stephanie ; Rosenblatt, Matthew ; Dai, Wei ; Qi, Shile ; Sui, Jing ; Calhoun, Vince D. ; Scheinost, Dustin ( September 2022 , BMC Medicine)

   Grip strength is a widely used and well-validated measure of overall health that is increasingly understood to index risk for psychiatric illness and neurodegeneration in older adults. However, existing work has not examined how grip strength relates to a comprehensive set of mental health outcomes, which can detect early signs of cognitive decline. Furthermore, whether brain structure mediates associations between grip strength and cognition remains unknown.

   Based on cross-sectional and longitudinal data from over 40,000 participants in the UK Biobank, this study investigated the behavioral and neural correlates of handgrip strength using a linear mixed effect model and mediation analysis.

   In cross-sectional analysis, we found that greater grip strength was associated with better cognitive functioning, higher life satisfaction, greater subjective well-being, and reduced depression and anxiety symptoms while controlling for numerous demographic, anthropometric, and socioeconomic confounders. Further, grip strength of females showed stronger associations with most behavioral outcomes than males. In longitudinal analysis, baseline grip strength was related to cognitive performance at ~9 years follow-up, while the reverse effect was much weaker. Further, baseline neuroticism, health, and financial satisfaction were longitudinally associated with subsequent grip strength. The results revealed widespread associations between stronger grip strength and increased grey matter volume, especially in subcortical regions and temporal cortices. Moreover, grey matter volume of these regions also correlated with better mental health and considerably mediated their relationship with grip strength.

   Overall, using the largest population-scale neuroimaging dataset currently available, our findings provide the most well-powered characterization of interplay between grip strength, mental health, and brain structure, which may facilitate the discovery of possible interventions to mitigate cognitive decline during aging.

    

   more » « less
4. Mental Visualization in the Cerebellum: Rapid Non-motor Learning at Sub-Lobular and Causal Network Levels

   https://doi.org/10.3389/fnsys.2021.655514  

   Likova, Lora T. ; Mineff, Kristyo N. ; Nicholas, Spero C. ( September 2021 , Frontiers in Systems Neuroscience)

   It is generally understood that the main role of the cerebellum is in movement planning and coordination, but neuroimaging has led to striking findings of its involvement in many aspects of cognitive processing. Mental visualization is such a cognitive process, extensively involved in learning and memory, artistic and inventive creativity, etc. Here, our aim was to conduct a multidimensional study of cerebellar involvement in the non-motor cognitive tasks. First, we used fMRI to investigate whether the cognitive task of visualization from an immediate memory of complex spatial structures (line drawings) engages the cerebellum, and identified a cerebellar network of both strongly activated and suppressed regions. Second, the task-specificity of these regions was examined by comparative analysis with the task of perceptual exploration and memorization of the drawings to be later visualized from memory. BOLD response patterns over the iterations of each task differed significantly; unexpectedly, the suppression grew markedly stronger in visualization. Third, to gain insights in the organization of these regions into cerebellar networks, we determined the directed inter-regional causal influences using Granger Causal Connectivity analysis. Additionally, the causal interactions of the cerebellar networks with a large-scale cortical network, the Default Mode Network (DMN), were studied. Fourth, we investigated rapid cognitive learning in the cerebellum at the level of short-term BOLD response evolution within each region of interest, and at the higher level of network reorganization. Our paradigm of interleaved sequences of iteration between two tasks combined with some innovative analyses were instrumental in addressing these questions. In particular, rapid forms of non-motor learning that strongly drive cerebellar plasticity through mental visualization were uncovered and characterized at both sub-lobular and network levels. Collectively, these findings provide novel and expansive insights into high-order cognitive functions in the cerebellum, and its macroscale functional neuroanatomy. They represent a basis for a framework of rapid cerebellar reorganization driven by non-motor learning, with implications for the enhancement of cognitive abilities such as learning and memory. 

   more » « less
5. Type 2 diabetes mellitus accelerates brain aging and cognitive decline: Complementary findings from UK Biobank and meta-analyses

   https://doi.org/10.7554/eLife.73138  

   Antal, Botond ; McMahon, Liam P ; Sultan, Syed Fahad ; Lithen, Andrew ; Wexler, Deborah J ; Dickerson, Bradford ; Ratai, Eva-Maria ; Mujica-Parodi, Lilianne R ( May 2022 , eLife)

   Background: Type 2 diabetes mellitus (T2DM) is known to be associated with neurobiological and cognitive deficits; however, their extent, overlap with aging effects, and the effectiveness of existing treatments in the context of the brain are currently unknown. Methods: We characterized neurocognitive effects independently associated with T2DM and age in a large cohort of human subjects from the UK Biobank with cross-sectional neuroimaging and cognitive data. We then proceeded to evaluate the extent of overlap between the effects related to T2DM and age by applying correlation measures to the separately characterized neurocognitive changes. Our findings were complemented by meta-analyses of published reports with cognitive or neuroimaging measures for T2DM and healthy controls (HCs). We also evaluated in a cohort of T2DM-diagnosed individuals using UK Biobank how disease chronicity and metformin treatment interact with the identified neurocognitive effects. Results: The UK Biobank dataset included cognitive and neuroimaging data (N = 20,314), including 1012 T2DM and 19,302 HCs, aged between 50 and 80 years. Duration of T2DM ranged from 0 to 31 years (mean 8.5 ± 6.1 years); 498 were treated with metformin alone, while 352 were unmedicated. Our meta-analysis evaluated 34 cognitive studies (N = 22,231) and 60 neuroimaging studies: 30 of T2DM (N = 866) and 30 of aging (N = 1088). Compared to age, sex, education, and hypertension-matched HC, T2DM was associated with marked cognitive deficits, particularly in executive functioning and processing speed . Likewise, we found that the diagnosis of T2DM was significantly associated with gray matter atrophy, primarily within the ventral striatum , cerebellum , and putamen , with reorganization of brain activity (decreased in the caudate and premotor cortex and increased in the subgenual area , orbitofrontal cortex, brainstem, and posterior cingulate cortex ). The structural and functional changes associated with T2DM show marked overlap with the effects correlating with age but appear earlier, with disease duration linked to more severe neurodegeneration. Metformin treatment status was not associated with improved neurocognitive outcomes. Conclusions: The neurocognitive impact of T2DM suggests marked acceleration of normal brain aging. T2DM gray matter atrophy occurred approximately 26% ± 14% faster than seen with normal aging; disease duration was associated with increased neurodegeneration. Mechanistically, our results suggest a neurometabolic component to brain aging. Clinically, neuroimaging-based biomarkers may provide a valuable adjunctive measure of T2DM progression and treatment efficacy based on neurological effects. Funding: The research described in this article was funded by the W. M. Keck Foundation (to LRMP), the White House Brain Research Through Advancing Innovative Technologies (BRAIN) Initiative (NSFNCS-FR 1926781 to LRMP), and the Baszucki Brain Research Fund (to LRMP). None of the funding sources played any role in the design of the experiments, data collection, analysis, interpretation of the results, the decision to publish, or any aspect relevant to the study. DJW reports serving on data monitoring committees for Novo Nordisk. None of the authors received funding or in-kind support from pharmaceutical and/or other companies to write this article. 

   more » « less