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Relationships between the Fear of COVID-19 Scale and regional brain atrophy in mild cognitive impairment

Published online by Cambridge University Press:  14 February 2022

Takumi Takahashi
Affiliation:
Division of Psychiatry, University of Tsukuba Hospital, Tsukuba, Ibaraki, Japan
Miho Ota*
Affiliation:
Department of Psychiatry, Division of Clinical Medicine, Faculty of Medicine, University of Tsukuba, Tsukuba, Ibaraki, Japan
Yuriko Numata
Affiliation:
University of Tsukuba Hospital, Tsukuba, Ibaraki, Japan
Ayako Kitabatake
Affiliation:
University of Tsukuba Hospital, Tsukuba, Ibaraki, Japan
Kiyotaka Nemoto
Affiliation:
Department of Psychiatry, Division of Clinical Medicine, Faculty of Medicine, University of Tsukuba, Tsukuba, Ibaraki, Japan
Masashi Tamura
Affiliation:
Department of Psychiatry, Division of Clinical Medicine, Faculty of Medicine, University of Tsukuba, Tsukuba, Ibaraki, Japan
Masayuki Ide
Affiliation:
Department of Psychiatry, Division of Clinical Medicine, Faculty of Medicine, University of Tsukuba, Tsukuba, Ibaraki, Japan
Asaki Matsuzaki
Affiliation:
Department of Psychiatry, Division of Clinical Medicine, Faculty of Medicine, University of Tsukuba, Tsukuba, Ibaraki, Japan
Yuko Kaneda
Affiliation:
University of Tsukuba Hospital, Tsukuba, Ibaraki, Japan
Tetsuaki Arai
Affiliation:
Department of Psychiatry, Division of Clinical Medicine, Faculty of Medicine, University of Tsukuba, Tsukuba, Ibaraki, Japan
*
Author for correspondence: Miho Ota, Email: ota@md.tsukuba.ac.jp
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Abstract

Background:

Several studies have reported that the pandemic of coronavirus disease 2019 (COVID-19) influenced cognitive function in the elderly. However, the effect of COVID-19-related fear on brain atrophy has not been evaluated. In this study, we evaluated the relation between brain atrophy and the effect of COVID-19-related fear by analysing changes in brain volume over time using magnetic resonance imaging (MRI).

Methods:

Participants were 25 Japanese patients with mild cognitive impairment (MCI) or subjective cognitive decline (SCD), who underwent 1.5-tesla MRI scan twice, once before and once after the pandemic outbreak of COVID-19, and the Fear of Coronavirus Disease 2019 Scale (FCV-19S) assessment during that period. We computed regional brain atrophy per day between the 1st and 2nd scan, and evaluated the relation between the FCV-19S scores and regional shrinkage.

Results:

There was significant positive correlation between the total FCV-19S score and volume reduction per day in the right posterior cingulate cortex. Regarding the subscales of FCV-19S, we found significant positive correlation between factor 2 of the FCV-19S and shrinkage of the right posterior cingulate cortex.

Conclusions:

There was positive correlation between the FCV-19S score and regional brain atrophy per day. Although it is already known that the psychological effects surrounding the COVID-19 pandemic cause cognitive function decline, our results further suggest that anxiety and fear related to COVID-19 cause regional brain atrophy.

Type
Original Article
Copyright
© The Author(s), 2022. Published by Cambridge University Press on behalf of Scandinavian College of Neuropsychopharmacology

Significant outcomes

  • The higher the FCV score, the more atrophy of the right posterior cingulate cortex was observed over time in patients with mild cognitive impairment or subjective cognitive decline.

  • The COVID-19 epidemic might affect not only cognitive function but also cerebral morphology.

Limitations

  • All subjects were not only exposed to psychological stress in relation to the COVID-19 disaster but also decreased their social and physical activity due to restrictions on going out to prevent the spread of infection. It is difficult to clarify the interaction among these factors.

  • If changes in regional brain volume were affected by anxiety or depression, it is necessary to consider whether these changes will be reversible after the diminishment of the pandemic.

Introduction

To combat the COVID-19 pandemic caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), on April 7, 2020 the government of Japan issued a state of emergency in seven major cities in conjunction with the Special Measures Law and then further expanded the directive to all of Japan on April 16th. As a result, people refrained from going out and attending schools, and the operation of restaurants and entertainment facilities was restricted. The state of emergency was lifted after approximately 6 weeks, but the infection has continued to spread since then, and the government has urged people to change their lifestyles, such as by taking various measures to prevent infection and curtail their activities.

Hospitals were also required to undergo major changes. Each hospital was required to set up a dedicated COVID-19 ward, and measures were taken such as restricting visits, limiting acceptance of inpatients and bed occupancy rates, reducing the frequency of outpatient visits, and replacing various types of hospital visits with telephone visits. In addition, in psychiatric departments, dementia day care had to be interrupted, and the rehabilitation of cognitive functions for day care users was temporarily suspended (at our hospital, Tsukuba University Hospital, dementia day care was suspended from March 2020 to October and has since restarted with limited activity). Restrictions of hospital visits were similarly initiated by the patients themselves, who tended to avoid going out in their daily lives, and refrained from visiting the hospital due to the fear of COVID-19 infection. With increasing reports of the severity of COVID-19 infections, fear of infection grew stronger, especially in the elderly (Alonso-Lana et al., Reference Alonso-Lana, Marquié, Ruiz and Boada2020; Shahid et al., Reference Shahid, Kalayanamitra, McClafferty, Kepko, Ramgobin, Patel, Aggarwal, Vunnam, Sahu, Bhatt, Jones, Golamari and Jain2020).

Reduction of social activities, such as restrictions on going out to prevent the spread of COVID-19, caused deterioration of cognitive function in patients with dementia. Isolation has been reported to impair cognitive function in patients with dementia, including by deteriorating memory (Ismail et al., Reference Ismail, Kamel and Al-Hashel2021) and by promoting agitation, depression, anxiety, and apathy (Barguilla et al., Reference Barguilla, Fernández-Lebrero, Estragués-Gázquez, García-Escobar, Navalpotro-Gómez, Manero, Puente-Periz, Roquer and Puig-Pijoan2020; Lara et al., Reference Lara, Carnes, Dakterzada, Benitez and Piñol-Ripoll2020). It has also been reported that the longer the isolation, the more severe these neuropsychiatric symptoms become (Boutoleau-Bretonnière et al., Reference Boutoleau-Bretonnière, Pouclet-Courtemanche, Gillet, Bernard, Deruet, Gouraud, Mazoue, Lamy, Rocher, Kapogiannis and El Haj2020). Moreover, actual infection with the SARS-CoV-2 virus has been reported to have direct effects on the brain, such as olfactory bulb inflammation and oedema (Mahalaxmi et al., Reference Mahalaxmi, Kaavya, Mohana Devi and Balachandar2021; Miners et al., Reference Miners, Kehoe and Love2020; Paliwal et al., Reference Paliwal, Garg, Gupta and Tejan2020).

It is known that anxiety promotes the progression of dementia (Mah et al., Reference Mah, Binns and Steffens2015) and reduces the volume of brain regions including the amygdala (Blackmon et al., Reference Blackmon, Barr, Carlson, Devinsky, DuBois, Pogash, Quinn, Kuzniecky, Halgren and Thesen2011; Yang et al., Reference Yang, Yin, Svob, Long, He, Zhang, Xu, Li, Liu, Dong, Zhang, Wang and Yuan2017), but there has been no report on the relationship between the fear caused by COVID-19 and brain volume. Therefore, we hypothesised that fear of COVID-19 may cause brain atrophy, just as anxiety causes atrophy in amygdala.

In this study, we analysed potential associations between changes in regional brain volume over time, as measured by magnetic resonance imaging (MRI), and COVID-19-related fear, as quantified by the Fear of Coronavirus Disease 2019 Scale (FCV-19S).

Methods

Participants

Twenty-five elderly participants who regularly attended our hospital’s dementia day care programme and were diagnosed with mild cognitive impairment (MCI) (Petersen, Reference Petersen2004) were enrolled. All participants had a score of 24–30 on the Mini-Mental State Examination (MMSE-J) (Ideno et al., Reference Ideno, Takayama, Hayashi, Takagi and Sugai2012) or a Clinical Dementia Rating (CDR) (Morris, Reference Morris1993) of 0.5 or had been diagnosed with subjective cognitive decline (SCD) (Jessen et al., Reference Jessen, Amariglio, van Boxtel, Breteler, Ceccaldi, Chételat, Dubois, Dufouil, Ellis, van der Flier, Glodzik, van Harten, de Leon, McHugh, Mielke, Molinuevo, Mosconi, Osorio, Perrotin, Petersen, Rabin, Rami, Reisberg, Rentz, Sachdev, de la Sayette, Saykin, Scheltens, Shulman, Slavin, Sperling, Stewart, Uspenskaya, Vellas, Visser, Wagner and Group2014) at the time of examination in 2020.

All participants regularly visited the outpatient Department of Psychiatry at the University of Tsukuba Hospital and undertook cognitive tests and an MRI scan once a year. Applicants were excluded if they had a prior medical history of central nervous system disease or severe head injury, or if they met the criteria for substance abuse or dependence. After the study was explained to each participant, his or her written informed consent was obtained for participation in the study. This study was approved by the Ethics Committee of the University of Tsukuba Hospital, Japan (approval no. H28-187).

The Fear of Coronavirus Disease 2019 Scale (FCV-19S)

FCV-19S is a quantitative measure of COVID-19 fear (Ahorsu et al., Reference Ahorsu, Lin, Imani, Saffari, Griffiths and Pakpour2020), and previous studies have validated its usefulness (Midorikawa et al., Reference Midorikawa, Aiba, Lebowitz, Taguchi, Shiratori, Ogawa, Takahashi, Takahashi, Nemoto, Arai and Tachikawa2021). The FCV-19S includes seven items with a 5-point Likert scale (1–5) (1: strongly disagree; 2: disagree; 3; neither agree nor disagree; 4: agree; 5: strongly agree) and has the following two subscales: emotional fear reaction consisting of anxiety and fear (factor 1: questions 1, 2, 4, and 5) and symptomatic expressions of fear consisting of sweating, palpitation, insomnia, etc. (factor 2: questions 3, 6, and 7). They indicated validity and reliability by verifying the correlation between the total score and subscale (factor 1, factor 2) of FCV-19S and Kessler Screening Scale for Psychological Distress, Generalized Anxiety Disorder-7 and Impact of Event Scale-Revised (Midorikawa et al., Reference Midorikawa, Aiba, Lebowitz, Taguchi, Shiratori, Ogawa, Takahashi, Takahashi, Nemoto, Arai and Tachikawa2021).

In this study, the total score and subscales were evaluated. The participants took the FCV-19S during the COVID-19 outbreak period.

MRI data acquisition and processing

MRI scans were undertaken twice for each participant, once before (from January 2019 to February 2020) and once after the outbreak of the COVID-19 pandemic (after April 2020). MRI scans were performed on a 1.5-tesla MR system (Avanto, Siemens, Erlangen, Germany). Three-dimensional T1-weighted images were acquired in the sagittal plane (repetition time/echo time, 2400/3.52; voxel size, 1.25 × 1.25 × 1.2 mm3; field of view, 240 × 240 mm; flip angle, 8°; number of signals acquired, 1), yielding 160 contiguous slices through the brain.

Post-processing of the MRI data

To evaluate the individual differences of regional brain volume longitudinally, we calculated the regional grey matter volume and intracranial volume automatically using the longitudinal image processing function in the Freesurfer (ver. 6.0.0) software package (http://surfer.nmr.mgh.harvard.edu/fswiki/Fstutorial/LongitudinalTutorial) running on Ubuntu 18.04 based Lin4Neuro (Nemoto et al., Reference Nemoto, Dan, Rorden, Ohnishi, Tsuzuki, Okamoto, Yamashita and Asada2011). FreeSurfer automatically segmented the brain along the line of the Desikan-Killiany and Aseg atlas. Then, we estimated the atrophy rate of the regional grey matter using the following formula:

atrophy rate per day = [(regional volumespre/eTIVpre) − (regional volumespost/eTIVpost)]/duration of the scans

Here, eTIV means the estimated total intracranial volume automatically calculated using the Freesurfer software.

Statistical analysis

The statistical analyses were performed using SPSS software ver. 23 (SPSS Japan, Tokyo). We also evaluated the relationship between the atrophy rate per day and the scores of FCV-19S by partial correlation analysis using the subjects’ age, sex, and years of education as covariates. For multiple comparisons, a p value ≦0.001 was regarded as statistically significant.

Results

The demographic and clinical characteristics of the participants are shown in Table 1. The mean age was 75.6 ± 6.5 years (range: 61–90 years), and there were 15 men and 10 women. The mean score on the MMSE performed in 2020 was 27.8 ± 1.8 (range: 24–30), and the mean education history was 14.0 ± 3.0 years (range: 6–20 years). The mean interval between the MRI examinations in 2019 and 2020 was 424.2 ± 72.7 days.

Table 1. Characteristics of the participants

MMSE: Mini-Mental State Examination; SD: standard deviation.

We compared brain MRIs in 2019 (pre-epidemic) and 2020 (post-epidemic). The mean regional grey matter volumes are shown in Table 2. Table 3 shows the correlation between the daily atrophy rate and FCV-19S. There was a positive correlation between the total score of FCV-19S and the atrophy rate per day in the right posterior cingulate cortex (p = 0.002, r = 0.617). We then evaluated the correlation between the subscales of the FCV-19S and grey matter shrinkage of the subjects. We found that there was also a significant positive correlation between the score of factor 2 and the reduction of the right posterior cingulate cortex volume per day (p < 0.001, r = 0.657).

Table 2. Regional mean volumes of the participants

Table 3. Relationships between the regional atrophy rate and the fear of COVID-19 scale

* p < 0.005.

** p < 0.001.

Discussion

In this study, we examined changes in regional brain volume on head MRI between before and after the start of the COVID-19 epidemic in patients with MCI or SCD to clarify the effect of fear of COVID-19 on the regional brain volume over time. We found that the FCV-19S score was associated with the right posterior cingulate cortex volume. To our knowledge, this is the first study to show a relationship between fear of COVID-19 and the rate of regional brain atrophy.

The shock caused by the COVID-19 pandemic is severe, and previous studies have shown an increase in mental problems, including anxiety, depression, insomnia, and post-traumatic stress disorder (PTSD), in the general population (Serafini et al., Reference Serafini, Parmigiani, Amerio, Aguglia, Sher and Amore2020, Talevi et al., Reference Talevi, Socci, Carai, Carnaghi, Faleri, Trebbi, di Bernardo, Capelli and Pacitti2020). The FCV-19S is a scale that quantitatively evaluates COVID-19 fear with seven questions (Midorikawa et al., Reference Midorikawa, Aiba, Lebowitz, Taguchi, Shiratori, Ogawa, Takahashi, Takahashi, Nemoto, Arai and Tachikawa2021), and the Japanese version has also been verified (Midorikawa et al., Reference Midorikawa, Aiba, Lebowitz, Taguchi, Shiratori, Ogawa, Takahashi, Takahashi, Nemoto, Arai and Tachikawa2021; Masuyama et al., Reference Masuyama, Shinkawa and Kubo2020, Wakashima et al., Reference Wakashima, Asai, Kobayashi, Koiwa, Kamoshida and Sakuraba2020). The total score is 7–35, and the higher the score, the stronger the fear of COVID-19. This scale has been validated to correlate with the symptom intensity of anxiety and stress (Midorikawa et al., Reference Midorikawa, Aiba, Lebowitz, Taguchi, Shiratori, Ogawa, Takahashi, Takahashi, Nemoto, Arai and Tachikawa2021).

The significant new finding in this study is the association between the FCV-19S score and the volume reduction of the right posterior cingulate cortex. Concerning the involvement of the posterior cingulate cortex in psychiatric symptoms, previous reports showed an association between the features found in this region by brain imaging analyses and PTSD. Ke et al. (Ke et al., Reference Ke, Chen, Qi, Xu, Zhong, Chen, Li, Zhang and Lu2017) reported an association between the activity in the posterior cingulate gyrus on functional neuroimaging and PTSD symptom severity. Zhang et al. (Reference Zhang, Li, Shu, Zheng, Zhang, Zhang, He, Hou, Li, Liu, Wang, Duan, Jiang and Li2012) showed that the white matter integrity of the posterior cingulate gyrus was linked to affective processing in PTSD by diffusion tensor imaging. When taken together with these findings indicating an association between the function of the posterior cingulate gyrus and the psychiatric symptoms of PTSD, the results of the present study suggest that the posterior cingulate cortex is involved in the processing of anxiety or fear caused by COVID-19. This may be an issue to be clarified in the future.

Another important point is that the posterior cingulate cortex is a region where glucose hypometabolism and hypoperfusion are observed in the early stages of Alzheimer’s disease (AD) (Valotassiou et al., Reference Valotassiou, Malamitsi, Papatriantafyllou, Dardiotis, Tsougos, Psimadas, Alexiou, Hadjigeorgiou and Georgoulias2018), a condition associated with memory impairment (Jones et al., Reference Jones, Barnes, Uylings, Fox, Frost, Witter and Scheltens2006; Leech & Sharp, Reference Leech and Sharp2014; Scahill et al., Reference Scahill, Schott, Stevens, Rossor and Fox2002). Other studies reported that anxiety was associated with the progression of dementia and decreased brain volume in patients with MCI or SCD (Johansson et al., Reference Johansson, Stomrud, Lindberg, Westman, Johansson, van Westen, Mattsson and Hansson2020, Mah et al., Reference Mah, Binns and Steffens2015). Age-related brain atrophy was reported to be exacerbated by anxiety-related stress in healthy subjects (Laird et al., Reference Laird, Siddarth, Krause-Sorio, Kilpatrick, Milillo, Aguilar, Narr and Lavretsky2019). Further, it is known that cognitive decline, including memory impairment, occurs in elderly people affected by disasters such as earthquakes (Furukawa et al., Reference Furukawa, Ootsuki, Kodama and Arai2012; Hikichi et al., Reference Hikichi, Tsuboya, Aida, Matsuyama, Kondo, Subramanian and Kawachi2017). Collectively, these findings may suggest that the posterior cingulate region is vulnerable to mental stress caused by disasters (earthquakes, pandemics, etc.), and resultant atrophy and cognitive decline, especially in elderly people. Our hypothesis that COVID-19 fear might cause atrophy of the amygdala was not observed in this study. It was considered that this was because the atrophy of the medial temporal lobe including the amygdala had already been caused in the early stage of dementia such as MCI (Tang et al., Reference Tang, Holland, Dale, Younes, Miller and Initiative2015).

The results of the present study suggest that anxiety or fear of COVID-19 might accelerate the atrophy of the posterior cingulate gyrus in patients with SCD or MCI. Reducing stress caused by anxiety and fear in the elderly might prevent the progression of brain atrophy and thereby prevent cognitive deterioration. In Japan, it has been pointed out that the COVID-19 epidemic reduced the opportunities for elderly people with dementia to receive long-term care, including day care and day services, and these changes might have aggravated cognitive decline and behavioural and psychological symptoms of dementia (BPSD) (Niimi et al., Reference Niimi, Arai, Awata, Katayama, Tomimoto, Togo, Nakanishi, Hanyu, Fukui, Fujimoto, Yamada, Mori and Haruhiko2021). Similarly, increases in fear and anxiety in relation to COVID-19, exacerbated by elderly people with dementia being unable to receive long-term care services and withdrawing to their homes, may also contribute to the deterioration of cognitive function. For the future improvement of elderly care, measures should be taken to continue long-term care services while paying sufficient attention to infection prevention in order to alleviate the fear and anxiety of COVID-19 and prevent the progression of brain atrophy and cognitive decline.

However, this study has some limitations. It is known that dementia is a risk factor for the aggravation of COVID-19 infection and that the COVID-19 pandemic worsened the cognitive function and the severity of behavioural and psychological symptoms of dementia (BPSD) (Barguilla et al., Reference Barguilla, Fernández-Lebrero, Estragués-Gázquez, García-Escobar, Navalpotro-Gómez, Manero, Puente-Periz, Roquer and Puig-Pijoan2020; Boutoleau-Bretonnière et al., Reference Boutoleau-Bretonnière, Pouclet-Courtemanche, Gillet, Bernard, Deruet, Gouraud, Mazoue, Lamy, Rocher, Kapogiannis and El Haj2020; Canevelli et al., Reference Canevelli, Valletta, Toccaceli Blasi, Remoli, Sarti, Nuti, Sciancalepore, Ruberti, Cesari and Bruno2020; Ismail et al., Reference Ismail, Kamel and Al-Hashel2021; Lara et al., Reference Lara, Carnes, Dakterzada, Benitez and Piñol-Ripoll2020; Miners et al., Reference Miners, Kehoe and Love2020). The background to the exacerbation of dementia is not only the psychological stress of the COVID-19 disaster but also the decrease in social and physical activity due to restrictions on going out to prevent the spread of infection. Exercise and social contact play important roles in mental health (Livingston et al., Reference Livingston, Huntley, Sommerlad, Ames, Ballard, Banerjee, Brayne, Burns, Cohen-Mansfield, Cooper, Costafreda, Dias, Fox, Gitlin, Howard, Kales, Kivimäki, Larson, Ogunniyi, Orgeta, Ritchie, Rockwood, Sampson, Samus, Schneider, Selbæk, Teri and Mukadam2020). In this study, because all subjects were exposed to psychological stress in relation to the COVID-19 disaster and decreased their social and physical activity, it is difficult to clarify the interaction among these factors. In addition, if changes in regional brain volume were affected by anxiety or depression, it is necessary to consider whether these changes will be reversible after the diminishment of the pandemic. It is presumed that this point will be clarified by further longitudinal evaluation in the future.

In conclusion, there was a significant correlation between the fear of COVID-19 and regional brain atrophy rates. It was revealed that the COVID-19 epidemic has an indirect effect not only on cognitive function but also on cerebral morphology. In the future, we will conduct further longitudinal research to verify the effects on cognitive function and morphological changes.

Acknowledgements

None.

Author contributions

This study was designed by TT, MO and TA. TT, MO, YN, AK, KN, MT, MI, AM, and TA acquired the data. TT and MO analysed and drafted the article. TA revised it. All authors contributed to and have approved the final manuscript.

Financial support

This research received no specific grant from any funding agency, commercial, or not-for-profit sectors.

Conflict of interest

None.

Ethical standards

The authors assert that all procedures contributing to this work comply with the ethical standards of the relevant national and institutional committees on human experimentation and with the Helsinki Declaration of 1975, as revised in 2008.

References

Ahorsu, DK, Lin, CY, Imani, V, Saffari, M, Griffiths, MD and Pakpour, AH (2020) The Fear of COVID-19 Scale: development and initial validation. International Journal of Mental Health and Addiction, 19. doi: 10.1007/s11469-020-00270-8.Google ScholarPubMed
Alonso-Lana, S, Marquié, M, Ruiz, A and Boada, M (2020) Cognitive and neuropsychiatric manifestations of COVID-19 and effects on elderly individuals with dementia. Frontiers in Aging Neuroscience 12, 588872.CrossRefGoogle ScholarPubMed
Barguilla, A, Fernández-Lebrero, A, Estragués-Gázquez, I, García-Escobar, G, Navalpotro-Gómez, I, Manero, RM, Puente-Periz, V, Roquer, J and Puig-Pijoan, A (2020) Effects of COVID-19 pandemic confinement in patients with cognitive impairment. Frontiers in Neurology 11, 589901.CrossRefGoogle ScholarPubMed
Blackmon, K, Barr, WB, Carlson, C, Devinsky, O, DuBois, J, Pogash, D, Quinn, BT, Kuzniecky, R, Halgren, E, Thesen, T (2011) Structural evidence for involvement of a left amygdala-orbitofrontal network in subclinical anxiety. Psychiatry Research 194(3), 296303.CrossRefGoogle ScholarPubMed
Boutoleau-Bretonnière, C, Pouclet-Courtemanche, H, Gillet, A, Bernard, A, Deruet, AL, Gouraud, I, Mazoue, A, Lamy, E, Rocher, L, Kapogiannis, D, El Haj, M (2020) The effects of confinement on neuropsychiatric symptoms in Alzheimer’s disease during the COVID-19 crisis. Journal of Alzheimers Disease 76(1), 4147.CrossRefGoogle ScholarPubMed
Canevelli, M, Valletta, M, Toccaceli Blasi, M, Remoli, G, Sarti, G, Nuti, F, Sciancalepore, F, Ruberti, E, Cesari, M, Bruno, G (2020) Facing dementia during the COVID-19 outbreak. Journal of The American Geriatrics Society 68(8), 16731676.CrossRefGoogle ScholarPubMed
Furukawa, K, Ootsuki, M, Kodama, M and Arai, H (2012) Exacerbation of dementia after the earthquake and tsunami in Japan. Journal of Neurology 259(6), 1243.CrossRefGoogle ScholarPubMed
Hikichi, H, Tsuboya, T, Aida, J, Matsuyama, Y, Kondo, K, Subramanian, SV and Kawachi, I (2017) Social capital and cognitive decline in the aftermath of a natural disaster: a natural experiment from the 2011 Great East Japan Earthquake and Tsunami. Lancet Planet Health 1(3), e105e113.CrossRefGoogle ScholarPubMed
Ideno, Y, Takayama, M, Hayashi, K, Takagi, H and Sugai, Y (2012) Evaluation of a Japanese version of the Mini-Mental State Examination in elderly persons. Geriatrics & Gerontology International 12(2), 310316.CrossRefGoogle ScholarPubMed
Ismail, II, Kamel, WA and Al-Hashel, JY (2021) Association of COVID-19 pandemic and rate of cognitive decline in patients with dementia and mild cognitive impairment: a cross-sectional study. Gerontology and Geriatric Medicine 7(4), 23337214211005223.CrossRefGoogle ScholarPubMed
Jessen, F, Amariglio, RE, van Boxtel, M, Breteler, M, Ceccaldi, M, Chételat, G, Dubois, B, Dufouil, C, Ellis, KA, van der Flier, WM, Glodzik, L, van Harten, AC, de Leon, MJ, McHugh, P, Mielke, MM, Molinuevo, JL, Mosconi, L, Osorio, RS, Perrotin, A, Petersen, RC, Rabin, LA, Rami, L, Reisberg, B, Rentz, DM, Sachdev, PS, de la Sayette, V, Saykin, AJ, Scheltens, P, Shulman, MB, Slavin, MJ, Sperling, RA, Stewart, R, Uspenskaya, O, Vellas, B, Visser, PJ, Wagner, M and Group, SCDIS-IW (2014) A conceptual framework for research on subjective cognitive decline in preclinical Alzheimer’s disease. Alzheimers & Dementia 10(6), 844852.CrossRefGoogle ScholarPubMed
Johansson, M, Stomrud, E, Lindberg, O, Westman, E, Johansson, PM, van Westen, D, Mattsson, N and Hansson, O (2020) Apathy and anxiety are early markers of Alzheimer’s disease. Neurobiology of Aging 85, 7482.CrossRefGoogle ScholarPubMed
Jones, BF, Barnes, J, Uylings, HB, Fox, NC, Frost, C, Witter, MP and Scheltens, P (2006) Differential regional atrophy of the cingulate gyrus in Alzheimer disease: a volumetric MRI study. Cerebral Cortex 16(12), 17011708.CrossRefGoogle ScholarPubMed
Ke, J, Chen, F, Qi, R, Xu, Q, Zhong, Y, Chen, L, Li, J, Zhang, L and Lu, G (2017) Post-traumatic stress influences local and remote functional connectivity: a resting-state functional magnetic resonance imaging study. Brain Imaging and Behavior 11(5), 13161325.CrossRefGoogle ScholarPubMed
Laird, KT, Siddarth, P, Krause-Sorio, B, Kilpatrick, L, Milillo, M, Aguilar, Y, Narr, KL and Lavretsky, H (2019) Anxiety symptoms are associated with smaller insular and orbitofrontal cortex volumes in late-life depression. Journal of Affective Disorders 256(4), 282287.CrossRefGoogle ScholarPubMed
Lara, B, Carnes, A, Dakterzada, F, Benitez, I and Piñol-Ripoll, G (2020) Neuropsychiatric symptoms and quality of life in Spanish patients with Alzheimer’s disease during the COVID-19 lockdown. European Journal of Neurology 27(9), 17441747.CrossRefGoogle ScholarPubMed
Leech, R and Sharp, DJ (2014) The role of the posterior cingulate cortex in cognition and disease. Brain 137(Pt 1), 1232.CrossRefGoogle ScholarPubMed
Livingston, G, Huntley, J, Sommerlad, A, Ames, D, Ballard, C, Banerjee, S, Brayne, C, Burns, A, Cohen-Mansfield, J, Cooper, C, Costafreda, SG, Dias, A, Fox, N, Gitlin, LN, Howard, R, Kales, HC, Kivimäki, M, Larson, EB, Ogunniyi, A, Orgeta, V, Ritchie, K, Rockwood, K, Sampson, EL, Samus, Q, Schneider, LS, Selbæk, G, Teri, L and Mukadam, N (2020) Dementia prevention, intervention, and care: 2020 report of the Lancet Commission. Lancet 396(10248), 413446.CrossRefGoogle ScholarPubMed
Mah, L, Binns, MA, Steffens, DC and Alzheimer’s Disease Neuroimaging Initiative (2015) Anxiety symptoms in amnestic mild cognitive impairment are associated with medial temporal atrophy and predict conversion to Alzheimer disease. The American Journal of Geriatric Psychiatry 23(5), 466476.CrossRefGoogle ScholarPubMed
Mahalaxmi, I, Kaavya, J, Mohana Devi, S and Balachandar, V (2021) COVID-19 and olfactory dysfunction: a possible associative approach towards neurodegenerative diseases. Journal of Cellular Physiology 236(2), 763770.CrossRefGoogle ScholarPubMed
Masuyama, A, Shinkawa, H and Kubo, T (2020) Validation and psychometric properties of the Japanese version of the fear of COVID-19 scale among adolescents. International Journal of Mental Health and Addiction, 111. doi: 10.1007/s11469-020-00368-z.Google ScholarPubMed
Midorikawa, H, Aiba, M, Lebowitz, A, Taguchi, T, Shiratori, Y, Ogawa, T, Takahashi, A, Takahashi, S, Nemoto, K, Arai, T, Tachikawa, H (2021) Confirming validity of the Fear of COVID-19 Scale in Japanese with a nationwide large-scale sample. PLoS One 16(2), e0246840.CrossRefGoogle ScholarPubMed
Miners, S, Kehoe, PG and Love, S (2020) Cognitive impact of COVID-19: looking beyond the short term. Alzheimers Research & Therapy 12(1), 170.CrossRefGoogle ScholarPubMed
Morris, JC (1993) The Clinical Dementia Rating (CDR): current version and scoring rules. Neurology 43(11), 24122414.CrossRefGoogle ScholarPubMed
Nemoto, K, Dan, I, Rorden, C, Ohnishi, T, Tsuzuki, D, Okamoto, M, Yamashita, F and Asada, T (2011) Lin4Neuro: a customized Linux distribution ready for neuroimaging analysis. BMC Medical Imaging 11, 3.CrossRefGoogle ScholarPubMed
Niimi, Y, Arai, T, Awata, S, Katayama, S, Tomimoto, H, Togo, T, Nakanishi, A, Hanyu, H, Fukui, T, Fujimoto, N, Yamada, M, Mori, H, Haruhiko, A (2021) Report on the results of a questionnaire survey for specialists of the Japanese Society for Dementia regarding the impact of COVID-19 pandemic on dementia care. Dementia Japan 35, 7385. https://www.sasappa.co.jp/online/abstract/jsdr/1/35-1/html/10103501010.html Google Scholar
Paliwal, VK, Garg, RK, Gupta, A and Tejan, N (2020) Neuromuscular presentations in patients with COVID-19. Neurological Sciences 41(11), 30393056.CrossRefGoogle ScholarPubMed
Petersen, RC (2004) Mild cognitive impairment as a diagnostic entity. Journal of Internal Medicine 256(3), 183194.CrossRefGoogle ScholarPubMed
Scahill, RI, Schott, JM, Stevens, JM, Rossor, MN and Fox, NC (2002) Mapping the evolution of regional atrophy in Alzheimer’s disease: unbiased analysis of fluid-registered serial MRI. Proceedings of the National Academy of Sciences of the United States of America 99(7), 47034707.CrossRefGoogle ScholarPubMed
Serafini, G, Parmigiani, B, Amerio, A, Aguglia, A, Sher, L and Amore, M (2020) The psychological impact of COVID-19 on the mental health in the general population. QJM 113(8), 531537.CrossRefGoogle Scholar
Shahid, Z, Kalayanamitra, R, McClafferty, B, Kepko, D, Ramgobin, D, Patel, R, Aggarwal, CS, Vunnam, R, Sahu, N, Bhatt, D, Jones, K, Golamari, R, Jain, R (2020) COVID-19 and older adults: what we know. Journal of The American Geriatrics Society 68(5), 926929.CrossRefGoogle ScholarPubMed
Talevi, D, Socci, V, Carai, M, Carnaghi, G, Faleri, S, Trebbi, E, di Bernardo, A, Capelli, F and Pacitti, F (2020) Mental health outcomes of the CoViD-19 pandemic. Rivista Di Psichiatria 55(3), 137144.Google ScholarPubMed
Tang, X, Holland, D, Dale, AM, Younes, L, Miller, MI and Initiative, As DN (2015) The diffeomorphometry of regional shape change rates and its relevance to cognitive deterioration in mild cognitive impairment and Alzheimer’s disease. Human Brain Mapping 36(6), 20932117.CrossRefGoogle ScholarPubMed
Valotassiou, V, Malamitsi, J, Papatriantafyllou, J, Dardiotis, E, Tsougos, I, Psimadas, D, Alexiou, S, Hadjigeorgiou, G and Georgoulias, P (2018) SPECT and PET imaging in Alzheimer’s disease. Annals of Nuclear Medicine 32(9), 583593.CrossRefGoogle ScholarPubMed
Wakashima, K, Asai, K, Kobayashi, D, Koiwa, K, Kamoshida, S and Sakuraba, M (2020) The Japanese version of the fear of COVID-19 scale: reliability, validity, and relation to coping behavior. PLoS One 15(11), e0241958.CrossRefGoogle ScholarPubMed
Yang, J, Yin, Y, Svob, C, Long, J, He, X, Zhang, Y, Xu, Z, Li, L, Liu, J, Dong, J, Zhang, Z, Wang, Z, Yuan, Y (2017) Amygdala atrophy and its functional disconnection with the cortico-striatal-pallidal-thalamic circuit in major depressive disorder in females. PLoS One 12(1), e0168239.CrossRefGoogle ScholarPubMed
Zhang, L, Li, W, Shu, N, Zheng, H, Zhang, Z, Zhang, Y, He, Z, Hou, C, Li, Z, Liu, J, Wang, L, Duan, L, Jiang, T, Li, L (2012) Increased white matter integrity of posterior cingulate gyrus in the evolution of post-traumatic stress disorder. Acta Neuropsychiatrica 24(1), 3442.CrossRefGoogle ScholarPubMed
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Table 1. Characteristics of the participants

Figure 1

Table 2. Regional mean volumes of the participants

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Table 3. Relationships between the regional atrophy rate and the fear of COVID-19 scale