Cerebellar atrophy and its contribution to cognition in frontotemporal dementias

Chen, Yu; Kumfor, Fiona; Landín-Romero, Ramón; Irish, Muireann; Hodges, John R.; Piguet, Olivier

doi:10.1002/ana.25271

Cited by 51 publications

(39 citation statements)

References 76 publications

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“…The thalamus exhibits dense connections to the hypothalamus which may also potentially influence changes in body composition through neuroendocrine inputs, and has been previously implicated in changes in eating behavior in FTD and BMI in ALS . Changes in body composition (android: gynoid ratio and VAT area) also correlated to atrophy of the cerebellum, which has again been implicated in overeating behavior in FTD, and a range of autonomic, cognitive, emotional functions, and reward processing …”

Section: Discussionmentioning

confidence: 97%

Neural networks associated with body composition in frontotemporal dementia

Landín-Romero

Liang

Keogh

et al. 2019

Ann Clin Transl Neurol

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Background Frontotemporal dementia (FTD) is associated with complex changes in eating behavior and metabolism, which potentially affect disease pathogenesis and survival. It is currently not known if body composition changes and changes in fat deposition also exist in FTD, the relationship of these changes in eating behavior and appetite, and whether these changes are centrally mediated. Methods Body composition was measured in 28 people with behavioral‐variant frontotemporal dementia (bvFTD), 16 with Alzheimer’s disease (AD), and 19 healthy controls, using dual energy x‐ray absorptiometry. Changes in body composition were correlated to brain grey matter atrophy using voxel‐based morphometry on high‐resolution magnetic resonance imaging. Results Behavioral‐variant FTD was characterized by changes in body composition, with increased total fat mass, visceral adipose tissue area (VAT area), and android: gynoid ratio compared to control and AD participants (all P values < 0.05). Changes in body composition correlated to abnormal eating behavior and behavioral change (P < 0.01) and functional decline (P < 0.01). Changes in body composition also correlated to grey matter atrophy involving a distributed neural network that included the hippocampus, amygdala, nucleus accumbens, insula, cingulate, and cerebellum – structures known to be central to autonomic control – as well as the thalamus, putamen, accumbens, and caudate, which are involved in reward processing. Conclusions Changes in body composition and fat deposition extend the clinical phenomenology in bvFTD beyond cognition and behavior, with changes associated with changes in reward and autonomic processing suggesting that these deficits may be central in FTD

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Section: Discussionmentioning

confidence: 97%

Neural networks associated with body composition in frontotemporal dementia

Landín-Romero

Liang

Keogh

et al. 2019

Ann Clin Transl Neurol

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“…For example, impairments on emotion attribution and faux-pas tasks in bvFTD have been shown to correlate with lateral temporal cortex integrity, including the right anterior temporal lobes (ATLs)59,60 and superior temporal cortices,31,61 as well as medial and lateral parietal regions such as the TPJ, precuneus,54 and PCC 61. Emergent evidence has further implicated cerebellar degeneration in modulating aspects of cognitive dysfunction62 as well as ToM difficulties on the Frith–Happé animations task 16. Longitudinal studies tracking how the evolution of ToM dysfunction in bvFTD relates to encroachment of pathology in temporoparietal cortices and the cerebellum are clearly warranted.…”

Section: Behavioral-variant Of Frontotemporal Dementia (Bvftd)mentioning

confidence: 99%

<p>Neurocognitive mechanisms of theory of mind impairment in neurodegeneration: a transdiagnostic approach</p>

Strikwerda‐Brown¹,

Ramanan²,

Irish³

2019

NDT

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Much of human interaction is predicated upon our innate capacity to infer the thoughts, beliefs, emotions, and perspectives of others, in short, to possess a “theory of mind” (ToM). While the term has evolved considerably since its inception, ToM encompasses our unique ability to apprehend the mental states of others, enabling us to anticipate and predict subsequent behavior. From a developmental perspective, ToM has been a topic of keen research interest, with numerous studies seeking to explicate the origins of this fundamental capacity and its disruption in developmental disorders such as autism. The study of ToM at the opposite end of the lifespan, however, is paradoxically new born, emerging as a topic of interest in its own right comparatively recently. Here, we consider the unique insights afforded by studying ToM capacity in neurodegenerative disorders. Arguing from a novel, transdiagnostic perspective, we consider how ToM vulnerability reflects the progressive degradation of neural circuits specialized for an array of higher-order cognitive processes. This mechanistic approach enables us to consider the common and unique neurocognitive mechanisms that underpin ToM dysfunction across neurodegenerative disorders and for the first time examine its relation to behavioral disturbances across social, intimate, legal, and criminal settings. As such, we aim to provide a comprehensive overview of ToM research in neurodegeneration, the resultant challenges for family members, clinicians, and the legal profession, and future directions worthy of exploration.

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“…Limitations of the Talairach-Tournoux brain atlas are thus circumvented, enabling more accurate depiction than whole-brain methods offer. Previously conducted functional MRI studies relying on SUIT have successfully identified morphologic changes of cerebellar subregions in several neuropsychiatric diseases (Chen et al, 2018; Cocozza et al, 2017; de Azevedo et al, 2017; Piccinin et al, 2017). In addition, these studies showed that SUIT template preserves more anatomical detail of the cerebellum and allows for better localization of cerebellar findings than the commonly-used whole brain Voxel-based morphometry(VBM) MNI template.…”

Section: Introductionmentioning

confidence: 99%

Cerebellar atrophy and its contribution to motor and cognitive performance in multiple system atrophy

Yang

Wang

Luo

et al. 2019

NeuroImage: Clinical

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Objective Neuroanatomical differences in the cerebellum are among the most consistent findings in multiple system atrophy (MSA) patients. This study performed a detailed cerebellar morphology in MSA patients and its two subtypes: MSA-P (parkinson's symptoms predominate) and MSA-C (cerebellar symptoms predominant), and their relations to profiles of motor and cognitive deficits. Materials and methods Structure MRI data were acquired from 63 healthy controls and 61 MSA patients; voxel-based morphometry and the Spatially Unbiased Infratentorial Toolbox cerebellar atlas were performed to identify the cerebellar gray volume changes in MSA and its subtypes. Further, the gray matter changes were correlated with the clinical motor/cognitive scores. Results Patients with MSA exhibited widespread loss of cerebellar volume bilaterally, relative to healthy controls. In those with MSA-C, gray matter loss was detected from anterior (bilateral lobule IV-V) to posterior (bilateral crus I/II, bilateral lobule IX, left lobule VIII) cerebellar lobes. Lower anterior cerebellar volume negatively correlated with disease duration and motor performance, whereas posterior lobe integrity positively correlated with cognitive assessment. In patients with MSA-P, atrophy of anterior lobe (bilateral lobules IV-V) and posterior lobe in part (left lobule VI, bilateral IX) was evident; and in left cerebellar lobule IX, gray matter loss negatively correlated with motor scores. Direct comparison of MSA-P and MSA-C group outcomes showed divergence in right cerebellar crus II only. Conclusions Our data suggest that volumetric abnormalities of cerebellum contribute substantially to motor and cognitive performance in patients with MSA. In patients with MSA-P and MSA-C, affected regions of cerebellum differed.

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Cerebellar atrophy and its contribution to cognition in frontotemporal dementias

Cited by 51 publications

References 76 publications

Neural networks associated with body composition in frontotemporal dementia

Neural networks associated with body composition in frontotemporal dementia

<p>Neurocognitive mechanisms of theory of mind impairment in neurodegeneration: a transdiagnostic approach</p>

Cerebellar atrophy and its contribution to motor and cognitive performance in multiple system atrophy

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