Structural atrophy of central autonomic network correlates with the functional attributes of autonomic nervous system in spinocerebellar ataxia patients

Tamuli, Dibashree; Kaur, Manpreet; Jaryal, Ashok Kumar; Srivastava, Achal K.; Kumaran, S. Senthil; Deepak, Kishore Kumar

doi:10.1016/j.jocn.2021.07.031

Cited by 5 publications

(7 citation statements)

References 22 publications

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“…The prefrontal cortex was commonly connected between systolic BRS and systolic BPV. Moreover, the prefrontal cortex (included bilateral caudal middle frontal, right lateral orbitofrontal cortex and bilateral medial orbitofrontal cortex) appeared as the connecting link between CASS and autonomic tone parameters in SCA reveals the associations of CAN and autonomic attributable [7].…”

Section: Brain Structures Associated With Components Of Autonomic Cor...mentioning

confidence: 93%

“…By the task based activation method of autonomic control, a large number of studies have found the areas of brain in autonomic control [17]. Althogh the autonomic nervous system regulates a wide range of physiological aspects in our body like -cardiovascular, respiratory, endocrine and digestive [4], amongst all, heart rate variability (HRV) has been widely used as cardiovascular autonomic marker to know the state of heart and brain as well [5][6][7]. The neuroimaging studies were performed to identify the brain areas associated with HRV revealed that insula, prefrontal and cingulate cortices were activated during autonomic task and thus, related to HRV [5,6,8].…”

Section: Abstactmentioning

confidence: 99%

“…In our earlier pioneering work, we have assessed a correlation between the brain areas and autonomic function parameters in spinocerebellar ataxia (SCA) patients [7]. To study this association, SCA disease model was found to be suitable as SCA being a neurodegenerative disorder with autonomic dysfunction.…”

Section: Review Article | Open Accessmentioning

confidence: 99%

“…Actually, baroreflex lowers the blood pressure fluctuations by regulating the heart rate and vascular tone [15]. The modulation is occurred by the baroreflex arc in medulla along with the inputs from higher cortical and subcortical brain areas of CAN [7,14]. Nevertheless, composite autonomic severity score (CASS) is a comprehensive method to quantify autonomic function [16].…”

Section: Review Article | Open Accessmentioning

confidence: 99%

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Brain-heart Connections in Spinocerebellar Ataxia: Role of Central

Tamuli¹,

Deepak²

2022

Neurodegener Dis Cur Res

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More than a century ago, C. Bernard stated the connection between the brain and the heart. Here, we have emphasized on the central autonomic network (CAN) based on our previous pioneering work of structure-function connectivity in spinocerebellar ataxia (SCA) patients. In order to study the correlation, SCA was the suitable disease model as being neurodegenerative disorder with fequent autonomic manifestations. The prefrontal cortex, bilateral middle temporal, left cuneus, left lingual and left caudate were the key brain areas of CAN for top down regulation of autonomic function assessed as heart rate variability and severity scoring. We have evaluated CAN to know parasympathetic and sympathic autonomic brain areas vis-a-vis parasympathetic and sympathetic autonomic function in SCA which may shed light on putative pathophysiology.

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Section: Brain Structures Associated With Components Of Autonomic Cor...mentioning

confidence: 93%

Section: Abstactmentioning

confidence: 99%

Section: Review Article | Open Accessmentioning

confidence: 99%

Section: Review Article | Open Accessmentioning

confidence: 99%

See 2 more Smart Citations

Brain-heart Connections in Spinocerebellar Ataxia: Role of Central

Tamuli¹,

Deepak²

2022

Neurodegener Dis Cur Res

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“…Nowadays, structural neuroimaging has shown that SCA3 suffered from infratentorial cerebellar 2,3 and supratentorial cerebral GM loss/atrophy, [4][5][6] especially cerebellar GM. To better understand the disease, we previously explored GM volume abnormalities in patients with SCA3 from pre-symptomatic to symptomatic stage, and widespread atrophic GM volumes were observed in symptomatic stage, including bilateral pallidum, brainstem, pons, and cerebellar, 7 then pre-symptomatic stage suffered from white matter damage but no apparent GM loss/atrophy.…”

Section: Introductionmentioning

confidence: 99%

Altered large‐scale individual‐based morphological brain network in spinocerebellar ataxia type 3

Su,

Sha,

Qiu

et al. 2023

CNS Neurosci Ther

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BackgroundAccumulating evidences indicate regional gray matter (GM) morphology atrophy in spinocerebellar ataxia type 3 (SCA3); however, whether large‐scale morphological brain networks (MBNs) undergo widespread reorganization in these patients remains unclear.ObjectiveTo investigate the topological organization of large‐scale individual‐based MBNs in SCA3 patients.MethodsThe individual‐based MBNs were constructed based on the inter‐regional morphological similarity of GM regions. Graph theoretical analysis was taken to assess GM structural connectivity in 76 symptomatic SCA3, 24 pre‐symptomatic SCA3, and 54 healthy normal controls (NCs). Topological parameters of the resulting graphs and network‐based statistics analysis were compared among symptomatic SCA3, pre‐symptomatic SCA3, and NCs groups. The inner association between network properties and clinical variables was further analyzed.ResultsCompared to NCs and pre‐symptomatic SCA3 patients, symptomatic SCA3 indicated significantly decreased integration and segregation, a shift to “weaker small‐worldness”, characterized by decreased Cp, lower Eloc, and Eglob (all p < 0.005). Regarding nodal properties, symptomatic SCA3 exhibited significantly decreased nodal profiles in the central executive network (CEN)‐related left inferior frontal gyrus, limbic regions involving the bilateral amygdala, left hippocampus, and bilateral pallidum, thalamus; and increased nodal degree, efficiency in bilateral caudate (all pFDR <0.05). Meanwhile, clinical variables were correlated with altered nodal profiles (pFDR ≤0.029). SCA3‐related subnetwork was closely interrelated with dorsolateral cortico‐striatal circuitry extending to orbitofrontal‐striatal circuits and dorsal visual systems (lingual gyrus‐striatal).ConclusionSymptomatic SCA3 patients undergo an extensive and significant reorganization in large‐scale individual‐based MBNs, probably due to disrupted prefrontal cortico‐striato‐thalamo‐cortical loops, limbic‐striatum circuitry, and enhanced connectivity in the neostriatum. This study highlights the crucial role of abnormal morphological connectivity alterations beyond the pattern of brain atrophy, which might pave the way for therapeutic development in the future.

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Correlation analysis between cerebral microangiopathy and autonomic nervous dysfunction

Liu,

Wang,

Han

et al. 2024

Brain and Behavior

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ObjectiveOur study was conducted aimed at investigating the potential correlation between cerebral microangiopathy and autonomic nervous dysfunction.MethodsWe initially included 164 hospitalized patients with cerebral microangiopathy at our hospital from November 2019 to January 2021. Based on the inclusion and exclusion criteria, a final total of 162 patients with cerebral microangiopathy were selected. According to the patient's Autonomic Symptom Profile (ASP) score, patients with a score greater than 22 were categorized into a group with concomitant autonomic dysfunction (71 cases, combined group), while those with a score below 22 were categorized into a group of isolated cerebral microangiopathy (83 cases, cerebral microangiopathy group). The general data and laboratory examination results of the two groups were analyzed, and Pearson correlation analysis was performed to evaluate the correlation between cerebral microangiopathy and autonomic dysfunction, as well as the influencing factors of cerebral microangiopathy patients combined with autonomic dysfunction.ResultsThere were no significant differences between the two groups in terms of sex, BMI, smoking, drinking, family dementia history, diabetes, hypothyroidism, carotid atherosclerosis, obstructive sleep apnea hypopnea syndrome, hyperuricemia, hyperlipidemia, chronic obstructive pulmonary disease, Hamilton Anxiety Scale score, Hamilton Depression Scale score, 24‐h mean systolic blood pressure (SBP), 24‐h mean diastolic blood pressure DBP, daytime mean systolic blood pressure (dSBP), daytime mean diastolic blood pressure, nighttime mean systolic blood pressure (nSBP), nighttime mean diastolic blood pressure, 24‐h systolic blood pressure standard deviation (SBPSD), 24‐h diastolic blood pressure standard deviation, daytime diastolic blood pressure standard deviation, nighttime diastolic blood pressure standard deviation (nDBPSD), nDBPSD (p > .05). However, significant differences were observed between the two groups regarding age, history of coronary heart disease, hypertension, leukoaraiosis, cognitive function, ASP score, SSR, 24‐h SBPSD, daytime systolic blood pressure standard deviation (dSBPSD), nighttime systolic blood pressure standard deviation (nSBPSD), standard deviation of RR interval (SDNN), root mean square value of successive RR interval difference (RMSSD), high‐frequency component (HF), and low‐frequency component (LF) (p < .05). Moreover, the levels of TG, TC, HDL‐C, and LDL‐C did not show significant differences between the two groups (p > .05), but there were significant differences in blood uric acid and homocysteine (Hcy) levels (p < .05). Age, history of leukoaraiosis, cognitive function assessment, blood uric acid, Hcy levels, 24‐h SBPSD, dSBPSD, and nSBPSD showed positive correlations with ASP scores and SSR in patients with cerebral microangiopathy (p < .001). In contrast, hypertension, SDNN, RMSSD, HF, and LF showed negative correlations with ASP scores and SSR (p < .001). Moreover, coronary heart disease was negatively correlated with ASP scores but positively correlated with SSR (p < .001). The independent variables included age, history of leukoaraiosis, cognitive function assessment, ASP score, SSR, blood uric acid, Hcy, bradykinin, coronary heart disease, hypertension, 24‐h SBPSD, dSBPSD, nSBPSD, SDNN, RMSSD, HF, and LF, which were indicators with differences in general data and laboratory indicators. The dependent variable was patients with cerebral microangiopathy combined with autonomic nervous dysfunction. The analysis results showed that age, history of leukoaraiosis, ASP score, SSR, 24‐h SBPSD, dSBPSD, nSBPSD, SDNN, RMSSD, HF, and LF were the influencing factors of patients with cerebral microangiopathy complicated with autonomic nervous dysfunction.ConclusionWe demonstrates that age, history of leukoaraiosis, cognitive function assessment, blood uric acid, Hcy level, 24‐h SBPSD, dSBPSD, nSBPSD, blood pressure, SDNN, RMSSD, HF, LF, and coronary heart disease were highly associated with cerebral microangiopathy with autonomic dysfunction. Furthermore, the influencing factors of cerebral microangiopathy with autonomic dysfunction are age, history of leukoaraiosis, ASP score, SSR, blood pressure variability, and HRV.

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Structural atrophy of central autonomic network correlates with the functional attributes of autonomic nervous system in spinocerebellar ataxia patients

Cited by 5 publications

References 22 publications

Brain-heart Connections in Spinocerebellar Ataxia: Role of Central

Brain-heart Connections in Spinocerebellar Ataxia: Role of Central

Altered large‐scale individual‐based morphological brain network in spinocerebellar ataxia type 3

Correlation analysis between cerebral microangiopathy and autonomic nervous dysfunction

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