Updated on 2021/12/06

写真a

 
OGURA Aya
 
Organization
Brain and Mind Research Center Division Designated assistant professor
Title
Designated assistant professor

Degree 1

  1. 博士(医学) ( 2020.2   名古屋大学 ) 

 

Papers 20

  1. Resting State Networks Related to the Maintenance of Good Cognitive Performance During Healthy Aging

    Maesawa Satoshi, Mizuno Satomi, Bagarinao Epifanio, Watanabe Hirohisa, Kawabata Kazuya, Hara Kazuhiro, Ohdake Reiko, Ogura Aya, Mori Daisuke, Nakatsubo Daisuke, Isoda Haruo, Hoshiyama Minoru, Katsuno Masahisa, Saito Ryuta, Ozaki Norio, Sobue Gen

    FRONTIERS IN HUMAN NEUROSCIENCE   Vol. 15   page: 753836   2021.11

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    Language:Japanese   Publisher:Frontiers in Human Neuroscience  

    Purpose: Maintenance of cognitive performance is important for healthy aging. This study aims to elucidate the relationship between brain networks and cognitive function in subjects maintaining relatively good cognitive performance. Methods: A total of 120 subjects, with equal number of participants from each age group between 20 and 70 years, were included in this study. Only participants with Addenbrooke’s Cognitive Examination – Revised (ACE-R) total score greater than 83 were included. Anatomical T1-weighted MR images and resting-state functional MR images (rsfMRIs) were taken from all participants using a 3-tesla MRI scanner. After preprocessing, several factors associated with age including the ACE-R total score, scores of five domains, sub-scores of ACE-R, and brain volumes were tested. Morphometric changes associated with age were analyzed using voxel based morphometry (VBM) and changes in resting state networks (RSNs) were examined using dual regression analysis. Results: Significant negative correlations with age were seen in the total gray matter volume (GMV, r = −0.58), and in the memory, attention, and visuospatial domains. Among the different sub-scores, the score of the delayed recall (DR) showed the highest negative correlation with age (r = −0.55, p < 0.001). In VBM analysis, widespread regions demonstrated negative correlation with age, but none with any of the cognitive scores. Quadratic approximations of cognitive scores as functions of age showed relatively delayed decline compared to total GMV loss. In dual regression analysis, some cognitive networks, including the dorsal default mode network, the lateral dorsal attention network, the right / left executive control network, the posterior salience network, and the language network, did not demonstrate negative correlation with age. Some regions in the sensorimotor networks showed positive correlation with the DR, memory, and fluency scores. Conclusion: Some domains of the cognitive test did not correlate with age, and even the highly correlated sub-scores such as the DR score, showed delayed decline compared to the loss of total GMV. Some RSNs, especially involving cognitive control regions, were relatively maintained with age. Furthermore, the scores of memory, fluency, and the DR were correlated with the within-network functional connectivity values of the sensorimotor network, which supported the importance of exercise for maintenance of cognition.

    DOI: 10.3389/fnhum.2021.753836

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  2. Fiber-specific white matter analysis reflects upper motor neuron impairment in amyotrophic lateral sclerosis

    Ogura Aya, Kawabata Kazuya, Watanabe Hirohisa, Choy Shao Wei, Bagarinao Epifanio, Kato Toshiyasu, Imai Kazunori, Masuda Michihito, Ohdake Reiko, Hara Kazuhiro, Nakamura Ryoichi, Atsuta Naoki, Nakamura Tomohiko, Katsuno Masahisa, Sobue Gen

    EUROPEAN JOURNAL OF NEUROLOGY     2021.10

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    Language:Japanese   Publisher:European Journal of Neurology  

    Background and purpose: To clarify the relationship between fiber-specific white matter changes in amyotrophic lateral sclerosis (ALS) and clinical signs of upper motor neuron (UMN) involvement, we performed a fixel-based analysis (FBA), a novel framework for diffusion-weighted imaging analysis. Methods: We enrolled 96 participants, including 48 nonfamilial ALS patients and 48 age- and sex-matched healthy controls (HCs), in this study and conducted whole-brain FBA and voxel-based morphometry analysis. We compared the fiber density (FD), fiber morphology (fiber cross-section [FC]), and a combined index of FD and FC (FDC) between the ALS and HC groups. We performed a tract-of-interest analysis to extract FD values across the significant regions in the whole-brain analysis. Then, we evaluated the associations between FD values and clinical variables. Results: The bilateral corticospinal tracts (CSTs) and the corpus callosum (CC) showed reduced FD and FDC in ALS patients compared with HCs (p < 0.05, familywise error-corrected), and the comparison of FCs revealed no region that was significantly different from another. Voxel-based morphometry showed cortical volume reduction in the regions, including the primary motor area. Clinical scores showed correlations with FD values in the CSTs (UMN score: rho = −0.530, p < 0.001; central motor conduction time [CMCT] in the upper limb: rho = −0.474, p = 0.008; disease duration: rho = −0.383, p = 0.007; ALS Functional Rating Scale-Revised: rho = 0.340, p = 0.018). In addition, patients whose CMCT was not calculated due to unevoked waves also showed FD reduction in the CSTs. Conclusions: Our findings suggest that FD values in the CST estimated via FBA can be potentially used in evaluating UMN impairments.

    DOI: 10.1111/ene.15136

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  3. Bridging large-scale cortical networks: Integrative and function-specific hubs in the thalamus

    Kawabata Kazuya, Bagarinao Epifanio, Watanabe Hirohisa, Maesawa Satoshi, Mori Daisuke, Hara Kazuhiro, Ohdake Reiko, Masuda Michihito, Ogura Aya, Kato Toshiyasu, Koyama Shuji, Katsuno Masahisa, Wakabayashi Toshihiko, Kuzuya Masafumi, Hoshiyama Minoru, Isoda Haruo, Naganawa Shinji, Ozaki Norio, Sobue Gen

    ISCIENCE   Vol. 24 ( 10 ) page: 103106   2021.10

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  4. Individual voxel-based morphometry adjusting covariates in multiple system atrophy

    Ebina Junya, Hara Kazuhiro, Watanabe Hirohisa, Kawabata Kazuya, Yamashita Fumio, Kawaguchi Atsushi, Yoshida Yusuke, Kato Toshiyasu, Ogura Aya, Masuda Michihito, Ohdake Reiko, Mori Daisuke, Maesawa Satoshi, Katsuno Masahisa, Kano Osamu, Sobue Gen

    PARKINSONISM & RELATED DISORDERS   Vol. 90   page: 114 - 119   2021.9

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    Language:Japanese   Publisher:Parkinsonism and Related Disorders  

    Introduction: This study aimed to evaluate whether novel individual voxel-based morphometry adjusting covariates (iVAC), such as age, sex, and total intracranial volume, could increase the accuracy of a diagnosis of multiple system atrophy (MSA) and enable the differentiation of MSA from Parkinson's disease (PD). Methods: We included 53 MSA patients (MSA-C: 33, MSA-P: 20), 53 PD patients, and 189 healthy controls in this study. All participants underwent high-resolution T1-weighted imaging (WI) and T2-WI with a 3.0-T MRI scanner. We evaluated the occurrence of significant atrophic findings in the pons/middle cerebellar peduncle (MCP) and putamen on iVAC and compared these findings with characteristic changes on T2-WI. Results: On iVAC, abnormal findings were observed in the pons/MCP of 96.2% of MSA patients and in the putamen of 80% of MSA patients; however, on T2-WI, they were both observed at a frequency of 60.4% in MSA patients. On iVAC, all but one MSA-P patient (98.1%) showed significant atrophic changes in the pons/MCP or putamen. By contrast, 69.8% of patients with MSA showed abnormal signal changes in the pons/MCP or putamen on T2-WI. iVAC yielded 95.0% sensitivity and 96.2% specificity for differentiating MSA-P from PD. Conclusion: iVAC enabled us to recognize the morphological characteristics of MSA visually and with high accuracy compared to T2-WI, indicating that iVAC is a potential diagnostic screening tool for MSA.

    DOI: 10.1016/j.parkreldis.2021.07.025

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  5. Clinicoradiological features in amyotrophic lateral sclerosis patients with olfactory dysfunction

    Masuda Michihito, Watanabe Hirohisa, Ogura Aya, Ohdake Reiko, Kato Toshiyasu, Kawabata Kazuya, Hara Kazuhiro, Nakamura Ryoichi, Atsuta Naoki, Epifanio Bagarinao, Katsuno Masahisa, Sobue Gen

    AMYOTROPHIC LATERAL SCLEROSIS AND FRONTOTEMPORAL DEGENERATION   Vol. 22 ( 3-4 ) page: 260 - 266   2021.4

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    Language:Japanese   Publisher:Amyotrophic Lateral Sclerosis and Frontotemporal Degeneration  

    Objective: Amyotrophic lateral sclerosis (ALS) is an adult-onset neurodegenerative disorder characterized by motor neuron involvement. Although olfactory dysfunction has been described in ALS, clinicoradiological features associated with the olfactory dysfunction remain poorly understood. Methods: We enrolled 30 patients with ALS and age- and sex-matched 53 healthy controls (HCs). All participants underwent the odor stick identification test for Japanese (OSIT-J) and clinical assessments, including disease duration, ALSFRS-R, site of onset, forced vital capacity, and cognitive examinations that reflected the general, executive, memory and language function. We investigated the associations between OSIT-J score and clinical features and examined atrophic changes by voxel-based morphometry (VBM) analysis to MRI. Results: The OSIT-J score was significantly lower in ALS patients than HCs (6.9 ± 3.2 vs. 9.8 ± 1.9, p < 0.001). In ALS, there were significant relationships between OSIT-J score and age at examination, frontal assessment battery, word fluencies, digit span forward, and ADAS-Jcog recognition, but not education, disease type, duration, ALSFRS-R and, %VC. Multiple regression analysis with stepwise method showed the only ADAS-Jcog recognition substantially predicted OSIT-J score. VBM analysis with age, sex, total intracranial volume, and ADAS-Jcog recognition as covariates showed OSIT-J scores were substantially correlated with atrophic changes of left orbital cortex consisting of gyrus rectus and medial orbital gyrus and right hippocampus in ALS. Conclusion: ALS patients could show substantial olfactory dysfunction in association with orbital cortex and hippocampus involvements. The olfactory examination could be a useful marker for screening of frontotemporal alteration in ALS.

    DOI: 10.1080/21678421.2020.1859544

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  6. Identifying the brain's connector hubs at the voxel level using functional connectivity overlap ratio.

    Bagarinao E, Watanabe H, Maesawa S, Mori D, Hara K, Kawabata K, Ohdake R, Masuda M, Ogura A, Kato T, Koyama S, Katsuno M, Wakabayashi T, Kuzuya M, Hoshiyama M, Isoda H, Naganawa S, Ozaki N, Sobue G

    NeuroImage   Vol. 222   page: 117241   2020.11

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    DOI: 10.1016/j.neuroimage.2020.117241

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  7. Cerebello-basal ganglia connectivity fingerprints related to motor/cognitive performance in Parkinson's disease.

    Kawabata K, Watanabe H, Bagarinao E, Ohdake R, Hara K, Ogura A, Masuda M, Kato T, Tsuboi T, Maesawa S, Katsuno M, Sobue G

    Parkinsonism & related disorders   Vol. 80   page: 21 - 27   2020.11

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    DOI: 10.1016/j.parkreldis.2020.09.005

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  8. The neural network basis of altered decision-making in patients with amyotrophic lateral sclerosis.

    Imai K, Masuda M, Watanabe H, Ogura A, Ohdake R, Tanaka Y, Kato T, Kawabata K, Riku Y, Hara K, Nakamura R, Atsuta N, Bagarinao E, Katahira K, Ohira H, Katsuno M, Sobue G

    Annals of clinical and translational neurology   Vol. 7 ( 11 ) page: 2115 - 2126   2020.11

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    DOI: 10.1002/acn3.51185

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  9. Individual changes in visual performance in non-demented Parkinson's disease patients: a 1-year follow-up study.

    Ohdake R, Kawabata K, Watanabe H, Hara K, Ogura A, Kato T, Masuda M, Katsuno M, Sobue G

    Journal of neural transmission (Vienna, Austria : 1996)   Vol. 127 ( 10 ) page: 1387 - 1397   2020.10

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    DOI: 10.1007/s00702-020-02248-1

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  10. Changes in white matter fiber density and morphology across the adult lifespan: A cross-sectional fixel-based analysis.

    Choy SW, Bagarinao E, Watanabe H, Ho ETW, Maesawa S, Mori D, Hara K, Kawabata K, Yoneyama N, Ohdake R, Imai K, Masuda M, Yokoi T, Ogura A, Taoka T, Koyama S, Tanabe HC, Katsuno M, Wakabayashi T, Kuzuya M, Hoshiyama M, Isoda H, Naganawa S, Ozaki N, Sobue G

    Human brain mapping   Vol. 41 ( 12 ) page: 3198 - 3211   2020.8

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    DOI: 10.1002/hbm.25008

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  11. Aging Impacts the Overall Connectivity Strength of Regions Critical for Information Transfer Among Brain Networks.

    Bagarinao E, Watanabe H, Maesawa S, Mori D, Hara K, Kawabata K, Yoneyama N, Ohdake R, Imai K, Masuda M, Yokoi T, Ogura A, Taoka T, Koyama S, Tanabe HC, Katsuno M, Wakabayashi T, Kuzuya M, Hoshiyama M, Isoda H, Naganawa S, Ozaki N, Sobue G

    Frontiers in aging neuroscience   Vol. 12   page: 592469   2020

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    DOI: 10.3389/fnagi.2020.592469

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  12. Visuoperceptual disturbances in Parkinson's disease.

    Kawabata K, Ohdake R, Watanabe H, Bagarinao E, Hara K, Ogura A, Masuda M, Kato T, Yokoi T, Katsuno M, Sobue G

    Clinical parkinsonism & related disorders   Vol. 3   page: 100036   2020

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    DOI: 10.1016/j.prdoa.2020.100036

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  13. Semantic deficits in ALS related to right lingual/fusiform gyrus network involvement.

    Ogura A, Watanabe H, Kawabata K, Ohdake R, Tanaka Y, Masuda M, Kato T, Imai K, Yokoi T, Hara K, Bagarinao E, Riku Y, Nakamura R, Kawai Y, Nakatochi M, Atsuta N, Katsuno M, Sobue G

    EBioMedicine   Vol. 47   page: 506 - 517   2019.9

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    DOI: 10.1016/j.ebiom.2019.08.022

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  14. Reorganization of brain networks and its association with general cognitive performance over the adult lifespan.

    Bagarinao E, Watanabe H, Maesawa S, Mori D, Hara K, Kawabata K, Yoneyama N, Ohdake R, Imai K, Masuda M, Yokoi T, Ogura A, Taoka T, Koyama S, Tanabe HC, Katsuno M, Wakabayashi T, Kuzuya M, Ozaki N, Hoshiyama M, Isoda H, Naganawa S, Sobue G

    Scientific reports   Vol. 9 ( 1 ) page: 11352   2019.8

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    DOI: 10.1038/s41598-019-47922-x

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  15. Alterations in Cognition-Related Cerebello-Cerebral Networks in Multiple System Atrophy.

    Kawabata K, Hara K, Watanabe H, Bagarinao E, Ogura A, Masuda M, Yokoi T, Kato T, Ohdake R, Ito M, Katsuno M, Sobue G

    Cerebellum (London, England)   Vol. 18 ( 4 ) page: 770 - 780   2019.8

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    DOI: 10.1007/s12311-019-01031-7

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  16. Age-related impairment in Addenbrooke's cognitive examination revised scores in patients with amyotrophic lateral sclerosis.

    Masuda M, Watanabe H, Tanaka Y, Ohdake R, Ogura A, Yokoi T, Imai K, Kawabata K, Riku Y, Hara K, Nakamura R, Atsuta N, Katsuno M, Sobue G

    Amyotrophic lateral sclerosis & frontotemporal degeneration   Vol. 19 ( 7-8 ) page: 578 - 584   2018.11

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    DOI: 10.1080/21678421.2018.1510009

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  17. Corpus callosal involvement is correlated with cognitive impairment in multiple system atrophy.

    Hara K, Watanabe H, Bagarinao E, Kawabata K, Yoneyama N, Ohdake R, Imai K, Masuda M, Yokoi T, Ogura A, Tsuboi T, Ito M, Atsuta N, Niwa H, Taoka T, Maesawa S, Naganawa S, Katsuno M, Sobue G

    Journal of neurology   Vol. 265 ( 9 ) page: 2079 - 2087   2018.9

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    DOI: 10.1007/s00415-018-8923-7

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  18. An unbiased data-driven age-related structural brain parcellation for the identification of intrinsic brain volume changes over the adult lifespan.

    Bagarinao E, Watanabe H, Maesawa S, Mori D, Hara K, Kawabata K, Yoneyama N, Ohdake R, Imai K, Masuda M, Yokoi T, Ogura A, Wakabayashi T, Kuzuya M, Ozaki N, Hoshiyama M, Isoda H, Naganawa S, Sobue G

    NeuroImage   Vol. 169   page: 134 - 144   2018.4

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    DOI: 10.1016/j.neuroimage.2017.12.014

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  19. Distinct manifestation of cognitive deficits associate with different resting-state network disruptions in non-demented patients with Parkinson's disease.

    Kawabata K, Watanabe H, Hara K, Bagarinao E, Yoneyama N, Ogura A, Imai K, Masuda M, Yokoi T, Ohdake R, Tanaka Y, Tsuboi T, Nakamura T, Hirayama M, Ito M, Atsuta N, Maesawa S, Naganawa S, Katsuno M, Sobue G

    Journal of neurology   Vol. 265 ( 3 ) page: 688 - 700   2018.3

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    DOI: 10.1007/s00415-018-8755-5

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  20. Involvement of the Precuneus/Posterior Cingulate Cortex Is Significant for the Development of Alzheimer's Disease: A PET (THK5351, PiB) and Resting fMRI Study.

    Yokoi T, Watanabe H, Yamaguchi H, Bagarinao E, Masuda M, Imai K, Ogura A, Ohdake R, Kawabata K, Hara K, Riku Y, Ishigaki S, Katsuno M, Miyao S, Kato K, Naganawa S, Harada R, Okamura N, Yanai K, Yoshida M, Sobue G

    Frontiers in aging neuroscience   Vol. 10   page: 304   2018

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    Language:English  

    DOI: 10.3389/fnagi.2018.00304

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