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Hajishah H, Salehi S A, Amini M. Investigating Olfactory Bulb Volume Reduction as a Potential Biomarker for Some Neuropsychiatric Disorders: A Narrative Review. jcbr 2021; 5 (3) :9-20
URL: http://jcbr.goums.ac.ir/article-1-323-en.html
1- Student Research Committee, Tehran Medical Sciences Branch, Islamic Azad University, Tehran, Iran. , hajishah.hamed@gmail.com
2- Student Research Committee, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
3- Student Research Committee, Medical School, Alborz University of Medical Sciences, Karaj, Iran.
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ABSTRACT

The Olfactory bulb is a crucial structure involved in olfaction that is located in the ventral anterior of the forebrain. Due to physiological and anatomical connection between olfactory and emotion processing networks, olfactory dysfunction is seen in some psychiatric disorders. Strong evidences suggest that olfactory bulb volume can mirror olfactory system function. Due to this correlation, there has been an interest to investigate the possible correlation between reduction of olfactory bulb volume and some neuropsychiatric disorders. Nowadays, mental disorders are mostly diagnosed according to behavioural symptoms. Gradual progression of mental disorders and delayed onset of behavioral symptoms have increased the importance of finding objective biomarkers. Such biomarkers can improve treatment outcome, accuracy of diagnosis, and prognosis. It is hypothesized that the reduction of olfactory bulb volume could be a biomarker for some disorders. In this article, we reviewed studies on the association of olfactory bulb volume with depression, Alzheimer’s disease, Parkinson’s disease, migraine, and multiple sclerosis.
Keywords: Olfactory bulb; Biomarker; Psychiatry; Mental disorder

Introduction
  The olfactory bulb (OB) is a part of the nervous system in the ventral anterior of the forebrain that extends to above the nasal cavity (1). Paired OBs are the first stations in the olfactory pathway that transduce odorant information from olfactory neuron receptors to the primary olfactory cortex i.e. the piriform cortex of the brain (2). This processed information is then transferred to several brain areas, such as the orbitofrontal cortex, amygdala, hypothalamus, insula, entorhinal cortex, and hippocampus (3). Main OB functions are organized into four groups: odour distinction, enhancing odour detection, removing some background odours, and letting upper brain regions modify detection and discrimination of odours (4).  The OB volume is reduced in patients with olfactory disorders (5-9) and may increase during recovery (10). It is hypothesized that this plasticity is because of constant neurogenesis throughout adulthood (11-16). There has been an interest to investigate whether the reduction of OB volume can alert physicians about some neuropsychiatric disorders.
  Neuropsychiatric disorder is a term attributed to a broad range of diseases related to both neurology and psychiatry. The World Health Organization (WHO) announced neuropsychiatric disorders as the third most common cause of global disability-adjusted life years worldwide (17) and the leading cause in the USA (18). Some mental disorders, such as depression, can enormously affect the quality of life of individuals. Lack of knowledge about the neurochemical basis of mental disorders is a challenge for physicians to perform pharmacological operations efficiently. On this point, identification of biomarkers is crucial to facilitate prediction and diagnosis of disorders and to operate the therapy procedure at the proper time(19). A Biomarker is defined as an evaluated factor that illustrates normal biological processes, pathological situations, and remedial interferences (20). Nowadays, diagnosing mental disorders with self-reported information and behavioural symptoms is
 
more common than the neural markers. As a result, clinical decision-making relies on the patient’s ability to communicate with the physician. The resulting uncertainty and bias will lead to low validity of the physician’s diagnose. Therefore, finding neural markers or objective biomarkers may lead us to less bias and more certainty (21, 22). Thanks to the close connection of the olfactory system with emotion regulation networks (23, 24), a number of studies have focused on olfactory disability as such an objective biomarker for different mental disorders (25). The OB volume, which is considered to mirror the functional status of the olfactory system (26-28), is highly under consideration. Here, we review studies that investigated the possible role of OB volume reduction as a biomarker for depression, Alzheimer’s disease (AD), Parkinson’s disease (PD), migraine, and multiple sclerosis (MS). 
 
MATERIAL AND METHODS
  For this purpose, a complete search was done using the following Medical Subject Headings terms: olfactory bulb, depression, neuropsychiatric disease, Alzheimer, Parkinson, MS, migraine, and biomarker in PubMed and Google Scholar. First, 48 original articles were retrieved until July 10, 2021. All articles were imported to Endnote (version X9) and screened by a reviewer. Seven studies were removed by the reviewer because of irrelevancy. Finally, after a deep review of the full-text articles by the main author and removing three more articles due to lack of reliability, 38 original articles were chosen to be reviewed.
 
RESULTS
Depression
  Depression is currently the most prevalent psychiatric disorder. The WHO reported depression as the second cause of disability in 2020 (29). Depression affects 8-12% of the world’s population (30). Typical characteristics of major depression are unhappiness, meaninglessness, and irritable mood along with physical and cognitive changes (31). A systematic review has revealed the possible correlation between depression and olfactory dysfunction (32). All the studies used magnetic resonance imaging (MRI) for measurement of OB volume, and some of them reported extra information regarding the olfactory sensitivity, brain grey area, or more statistical analysis
 
 
 
Table 1. Studies investigating OB volume as a biomarker for depression
Study population Findings of olfactory bulb (OB) volume Other findings Reference
21 patients diagnosed with depression and 21 healthy controls Reduced OB volume in patients (Right: P = 0.025, Left: P = 0.40) Reduced  olfactory sensitivity in patients (P = 0.04) (33)
24 women diagnosed with depression treated for 10-16 weeks. Respondents (13 patients) and non-respondents (11 patients) Smaller OB volume in non-respondents (left: p =0.033, Right: p = 0.01). NA (34)
32 major depression patients and 51 healthy controls 17% OB volume reduction in patients (58.806±21.39 mm3) compared to the control group (74.246±17.45 mm3, p=0.85). Significant correlation of OB volume with the grey matter volume of areas related to emotion and olfaction such as insula, superior temporal cortex, and amygdala volume. (35)
84 cases with different mental disorders and 51 healthy volunteers 13.5% reduced OB volume by patients (patients: 64.2±18.5mm³, healthy controls: 74.2±17.5mm p<0.05). OB volume reduction reported to be a possible indicator of depression vulnerability by 68.1% accuracy (sensitivity: 71.1%, specificity: 64.4%). (36)
20 cases with major depression with 3 months of treatment in average and 20 healthy volunteers No significant difference
 
NA (37)
31 patients with chronic major depression and 31 healthy volunteers Reduced OB volume in patients (right=p<0.01, left=p<0.01). A negative correlation between Beck’s depression inventory   depression scores and OB volume (right: r=-0.727 and p<0.01, left: r=-0.717, and p<0.001) was observed. (38)
30 patients with psychotic disorders (mostly Schizophrenia), 37 patients with anxiety disorder/depression, and 30 controls The OB volume of both patient groups was markedly lower than the control group (p<0.017). Olfactory sulcus depth was only lowered notably in patients with anxiety disorder/depression compared to the control group (p<0.017). (39)
 
 
 
Parkinson’s disease
  Parkinson’s disease is a multifactorial neurodegenerative disease (40). The disease includes disability in some motor functions. As patients age, the motor dysfunction seems to be exacerbated. The symptoms include hypokinesia, bradykinesia, postural instability, rigidity, etc. These symptoms are the results of the changes in the brain, particularly in the substantia nigra pars compacta. Presence of an OB dysfunction in
 
PD patients has been also suggested (41, 42). Loss of smell has been detected in a major group of PD patients that might be caused by neurodegeneration in the OB (43). (Table 2) summarizes the results of studies investigating OB volume reduction as a biomarker for PD. All the following OB volumes have been measured using MRI, and the statistical analyses were done using SPSS.
 
 
 
 
Table 2. Studies investigating OB volume as a biomarker for PD
Study population Findings of OB volume Other findings Reference
52 IPD patients 31 healthy controls No significant change was detected. The IPD patients’ left and right OB volume was 41.5 mm3 and 42.1 mm3, respectively.
The right and left OB volume in healthy control subjects was 46.6 mm3 and 41.0 mm3 , respectively (Right: P=0.10; left: P=0.87
NA (44)
16 PD patients and 16 healthy participants The OB volume in PD patients (91.2 ±15.72 mm3) was significantly less than in the healthy control group (131.4±24.56 mm3) (
P < 0.001).
Alzheimer’s disease seems to be correlated with OB volume loss. (45)
15 PD patients, 15 NPOD patients, and 15 healthy controls The findings showed that both PD and NPOD patients had decreased OB size compared to the control group (P<0.05).
 
The results illustrated that the major area of difference between the two sets of patients was mainly observed in the cortical region above the OB.
 
(46)
20 IPD patients, 14 MSA patients, and 12 healthy controls
 
Total OB volumes (left and right OB and tract) in IPD patients, MSA patients, and the control group were 55.1±10.7 mm3, 73.8±9.1  mm3, and 75.9±8.4  mm3, respectively. The OB volume of IPD patients was significantly lower than controls and MSA patients (both p-values = 0.000)
 
The OB volume of MSA patients did not differ from that of controls (p>0.05) (47)
28 IPD patients and 19 healthy controls The right and left OB volume in stage 1 IPD participants was 79.30 ± 18.96 mm3 and 77.80±22.74 mm, respectively. The right and left OB volume in the control group was 68.26±12.47 mm3 and 70.05±15.82 mm3, respectively (p=0.018)
 
NA (48)
41 IPD patients either TDPD or NTDPD, and 19 healthy participants The mean right and left OB volumes in the patient group were 40.06±13.45 mm3 and 38.89±13.71 mm3, respectively.  The mean right and left OB volumes in the control group were 44.05±19.23 mm3 and 41.84±14.76 mm3, respectively (right: p=0.751; left: p=0.611). Odour identification scores of the right- and left–sided measurements were significantly lower in the patients. (49)
30 PD patients and 30 non PD healthy controls
 
The team observed a reduction in OB volume (37.30 ±10.23 mm3, p<0.05) Reduction in olfactory sulcus depth (8.90±1.42 mm, p<0.05) in PD patients. (50)
100 IPD patients and 100 healthy controls
 
The average OB volume was 35.28±5.21 mm in IPD patients and 47.53±6.49 mm in control subjects (p>0.05). There was no significant difference in the olfactory sulcus depth between the two groups. (51)
IPD: idiopathic Parkinson’s disease; NPOD: non-parkinsonian olfactory dysfunction; MSA: multiple system atrophy; UPSIT: Unified Parkinson’s disease rating scale; TDPD: tremor dominant Parkinson’s disease; NTDPD: non-tremor dominant Parkinson’s disease.
 
 
 

Schizophrenia
  Schizophrenia is a considerable mental disorder characterized by insanity, insensibility, and cognitive disability, disrupting everyday activities (52). Studies on patients with schizophrenia infer that the brains of these cases have a gross cellular abnormality, but these results have not been authenticated by meticulously controlled investigations, indicating that aggregate brain pathology is not specific to schizophrenia (53). The illness is more common and also severe in males (54). Brain volume varied in patients with both first part and chronic schizophrenia compared with uninfluenced individuals (55).
   Nguyen et al. (56) conducted a study to survey the possible OB atrophy and olfactory sulcus depth decrease in schizophrenia patients using MRI. The study included 25 male patients (mean age: 44.25 years) and 25 healthy males (mean age: 41.46 years). The MRI findings showed a major decrease in the right OB volume in cases with schizophrenia compared to the healthy group (t=2.648, DF=1, 48, p=0.011). On the contrary, no significant difference in left OB volume was observed between the two groups (t=1.462, DF=1,48 , p=0.150). Also, they found that people with schizophrenia scored significantly lower on the University of Pennsylvania Smell Identification Test (UPSIT) compared to the healthy group, indicating that the patients’ capability to recognize smells correctly is damaged (t=2.680, df=1, 23, p=0.013). They reported that right bulb volume in patients is positively associated with UPSIT points (r=0.574, n=14, p=.032). Overall, these results signify that cases with schizophrenia have olfactory deficiency relative to both mass and function.
  In 2000, Turetsky et al. (57) conducted a study on 26 schizophrenia patients (mean age: 37.8 years) and 22 healthy individuals (mean age: 36.6 years). The results of MRI showed that patients had 23% lower bilateral bulb volume compared with the
 
 
control group (patients: 79.8 mm3 vs. healthy group: 104.3 mm3). A positive correlation was also reported between odour threshold sensitivity and OB volume in the healthy group (r=–0.86, N=22, p<0.001), but this association was not observed in the patients (r=0.30, N=26, p=0.14).
 In another study by Turetsky et al. (58), cases with schizophrenia had a weaker sense of smell compared to the healthy relatives. Olfactory psychophysical gauges and MRI scans of OBs were acquired from 11 patients (mean age: 30.7 years), 19 normal first-degree relatives of patients (mean age: 36.9 years), and 20 healthy control subjects without family history of schizophrenia (mean age: 36.0 years). All the cases underwent MRI, and images were acquired on a 1.5-T GE Signal scanner. A significant difference in left OB volume between the patients and relatives was reported. In addition, major differences in the right OB volume were observed between patients and healthy controls, and between relatives and healthy controls.
 
Alzheimer’s disease
  Alzheimer’s disease is a chronic neurodegenerative and noticeable protein conformational disease with clear pathophysiological mechanisms (59, 60). The disease generally affects the medial temporal lobe and integrative neocortical system (61). It is one of the most prevalent causes of dementia (62). The OB and OB tract (OBT) atrophies have been reported during AD progression (63).
  In 1994, Ter Laak et al. (64) published a study about the relationship between AD and OB. In this study, OB of six people with AD and six healthy cases with the same age and gender were compared. Patients had the same total number of mitral cells compared to the healthy group, but the OB mass and the number of neurons in the anterior olfactory nucleus (AON) was decreased in patients. The loss of AON neurons was only observed in younger cases. Although neurofibrillary tangles (NFT) and senile plaques (SP) were detected in the healthy group, they were more prevalent in patients.
Philipp A. Thomann, Dos Santos et al. (65) conducted a study on 21 patients and 21 healthy controls and published some findings. Firstly, in cases with mild AD, the OBT volume was considerably lowered compared to the healthy ones (right: p = 0.001, left: p = 0.003 and mean: p = 0.001). Secondly, in the patient’s assembly, the OBT volume was expressively associated with the cognitive function which is determined by the Mini–Mental State Examination (MMSE) (p = 0.004). These data distinctly show us that OBT atrophy is seen in early stages of AD. According to analytical findings, no considerable differences were reported regarding to age, sex distribution, and knowledge.
  Thomann et al. (66) revealed a correlation between AD and OBT atrophy using MRI. The mentioned study included 29 patients with mild cognitive impairment, 27 patients with probable AD, and 30 healthy control individuals. The right, left, and mean OBT volume were reported to be highest in healthy cases and lowest in the AD group. In AD cases, voxel-based morphometry showed decreased OBT volumes to be considerably associated with lowered grey matter density in the left-hemispheric amygdala, hippocampus, and parahippocampal gyrus. In AD cases, the OBT volume was significantly associated with MMSE scores (p < 0.01). However, in a study conducted by Servello et al. (67) on 28 healthy cases (22 females and 6 males), 25 patients with MCI (14 females and 11 males), and 25 mild AD patients (14 females and 11 males), there was no apparent difference in the OB volume between the study groups. Moreover, there was no correlation between OB volume and olfactory function.
 
Multiple sclerosis
  Multiple sclerosis is an inflammatory, autoimmune disorder related to the central nervous system. Myelinated axons are attacked in MS, causing gradual neurological deficiency (68). The prevalence of MS varies widely and is higher in the North America and Europe but lower in Eastern Asia (69). Nowadays, studies aim to find MS-specific biomarkers in serum and cerebrospinal fluid (70). We reviewed studies conducted to investigate the possible role of OB volume as a biomarker for MS.
  A study by Goektas et al. (71) was conducted to examine the possible correlation of OB volume with olfactory dysfunction in MS patients. Out of 36 MS patients, 44.4% had olfactory dysfunction in the threshold-discrimination-identification exam. Results of MRI showed that nine of 36 patients had OB volumes below the normal level (100 mm3). In these cases, a strong positive correlation was found between OB volume and olfactory function.
 The association of cognitive disability and depression with OB volume in MS patients was investigated in a study by  Yaldizl et al. (72). The average OB volume in MS cases was lower than that in the healthy controls (183.9±40.1 vs. 209.2±9.3 μl; p=0.018). This OB atrophy was associated with higher depression scores in MS cases (p<0.05). On the contrary, no significant correlation was reported between reduced OB volume and cognitive impairment.
 
Migraine
  Migraine is an episodic headache that is commonly caused by overexcitability of the central nervous system. The pain caused by migraine is so intolerable that the disease is considered as one the most irritating and debilitating disorders.  The illness is diagnosed based on the headache’s very own characteristics. In the event of a disabling migraine, the treatment is either triptans or ergots, but if the patient is suffering from high-frequency headaches preventative medications are suggested (73).
   Aktürk et al. (74) studied the bilateral changes in the OB, including changes in the OB volume and the olfactory sulcus depth, and their possible correlation to the pain triggered by odours in migraine patients, a situation in migraine patients known as osmophobia. Based on the results, the olfactory sulcus depth did not differ between the migraine patients with or without osmophobia and the healthy control group. In addition, OB volume was significantly lower in migraine patients with or without osmophobia than in the control group (especially in the left OB); however, OB volume was lowest in osmophobic patients. Inconsistent with these findings, Doğan et al. reported that both the OB volume and olfactory sulcus depth decrease significantly in patients with migraine (75).
 
CONCLUSION
  Finding biomarkers (other than behavioral ones) can help diagnosis of mental disorders before symptoms show up. Therefore, disease progression could be prevented, and treatment could be carried out more efficiently. Based on the tight neural connection between the olfactory system and emotion processing, OB volume, as a marker of olfactory function, has received much attention. Based on the studies, it can be concluded that OB volume reduction can be a sign of depression and PD. However, it is not clear whether OB volume reduction can be considered as an independent biomarker for diagnosis of depression and PD. Similar conclusions can be made in case of AD and schizophrenia, but further studies are needed to confirm these conclusions. On the contrary, there is no sufficient evidence for migraine and MS to even consider OB volume reduction as a sign for further examinations. To sum up, we assume that OB volume reduction can be a possible objective biomarker for some psychiatric disorders along with other biomarkers. Although, more studies with larger study populations are essential to declare it with assurance.
 
ACKNOWLEDGMENTS
None.
 
DECLARATIONS
Funding
Not applicable.
 
Ethics approvals and consent to participate
Not applicable.
 
Conflict of interest
  The authors declare that there is no conflict of interest regarding publication of this article.
Article Type: Review | Subject: Neuroscience

References
1. Shipley M, Reyes P. Anatomy of the Human Olfactory Bulb and Central Olfactory Pathways. In: Laing DG, Doty RL, Breipohl W, editors. The Human Sense of Smell. Berlin, Heidelberg: Springer Berlin Heidelberg; 1991. p. 29-60. [View at Publisher] [DOI] [Google Scholar]
2. Hummel T, Smitka M, Puschmann S, Gerber JC, Schaal B, Buschhüter D. Correlation between olfactory bulb volume and olfactory function in children and adolescents. Experimental Brain Research. 2011;214(2):285. [View at Publisher] [DOI] [PubMed] [Google Scholar]
3. Soudry Y, Lemogne C, Malinvaud D, Consoli SM, Bonfils P. Olfactory system and emotion: Common substrates. European Annals of Otorhinolaryngology, Head and Neck Diseases. 2011;128(1):18-23. [View at Publisher] [DOI] [PubMed] [Google Scholar]
4. Scott JW, Wellis DP, Riggott MJ, Buonviso N. Functional organization of the main olfactory bulb. Microscopy Research and Technique. 1993;24(2):142-56. [View at Publisher] [DOI] [PubMed] [Google Scholar]
5. Mueller A, Rodewald A, Reden J, Gerber J, von Kummer R, Hummel T. Reduced olfactory bulb volume in post-traumatic and post-infectious olfactory dysfunction. Neuroreport. 2005;16(5):475-8. [View at Publisher] [DOI] [PubMed] [Google Scholar]
6. Rombaux P, Mouraux A, Bertrand B, Nicolas G, Duprez T, Hummel T. Retronasal and orthonasal olfactory function in relation to olfactory bulb volume in patients with posttraumatic loss of smell. Laryngoscope. 2006;116(6):901-5. [View at Publisher] [DOI] [PubMed] [Google Scholar]
7. Rombaux P, Mouraux A, Bertrand B, Nicolas G, Duprez T, Hummel T. Olfactory function and olfactory bulb volume in patients with postinfectious olfactory loss. Laryngoscope. 2006;116(3):436-9. [View at Publisher] [DOI] [PubMed] [Google Scholar]
8. Yousem DM, Geckle RJ, Bilker WB, Kroger H, Doty RL. Posttraumatic smell loss: relationship of psychophysical tests and volumes of the olfactory bulbs and tracts and the temporal lobes. Acad Radiol. 1999;6(5):264-72. [View at Publisher] [DOI] [PubMed] [Google Scholar]
9. Yousem DM, Geckle RJ, Bilker WB, McKeown DA, Doty RL. Posttraumatic olfactory dysfunction: MR and clinical evaluation. AJNR Am J Neuroradiol. 1996;17(6):1171-9. [View at Publisher] [PubMed] [Google Scholar]
10. Gudziol V, Buschhüter D, Abolmaali N, Gerber J, Rombaux P, Hummel T. Increasing olfactory bulb volume due to treatment of chronic rhinosinusitis--a longitudinal study. Brain. 2009;132(Pt 11):3096-101. [View at Publisher] [DOI] [PubMed] [Google Scholar]
11. Lötsch J, Schaeffeler E, Mittelbronn M, Winter S, Gudziol V, Schwarzacher SW, et al. Functional genomics suggest neurogenesis in the adult human olfactory bulb. Brain Struct Funct. 2014;219(6):1991-2000. [View at Publisher] [DOI] [PubMed] [Google Scholar]
12. Bergmann O, Liebl J, Bernard S, Alkass K, Yeung MS, Steier P, et al. The age of olfactory bulb neurons in humans. Neuron. 2012;74(4):634-9. [View at Publisher] [DOI] [PubMed] [Google Scholar]
13. Curtis MA, Kam M, Faull RL. Neurogenesis in humans. Eur J Neurosci. 2011;33(6):1170-4. [View at Publisher] [DOI] [PubMed] [Google Scholar]
14. Forbes WB. Aging-related morphological changes in the main olfactory bulb of the fischer 344 rat. Neurobiology of Aging. 1984;5(2):93-9. [View at Publisher] [DOI] [PubMed] [Google Scholar]
15. Dluzen DE. Age-related changes in monoamines within the olfactory bulbs of the Fischer 344 male rat. Mechanisms of Ageing and Development. 1996;91(1):37-45. [View at Publisher] [DOI] [PubMed] [Google Scholar]
16. Mirich JM, Williams NC, Berlau DJ, Brunjes PC. Comparative study of aging in the mouse olfactory bulb. J Comp Neurol. 2002;454(4):361-72. [View at Publisher] [DOI] [PubMed] [Google Scholar]
17. Whiteford HA, Degenhardt L, Rehm J, Baxter AJ, Ferrari AJ, Erskine HE, et al. Global burden of disease attributable to mental and substance use disorders: findings from the Global Burden of Disease Study 2010. Lancet. 2013;382(9904):1575-86. [View at Publisher] [DOI] [PubMed] [Google Scholar]
18. Murray CJ, Atkinson C, Bhalla K, Birbeck G, Burstein R, Chou D, et al. The state of US health, 1990-2010: burden of diseases, injuries, and risk factors. Jama. 2013;310(6):591-608. [DOI] [PubMed] [Google Scholar]
19. García-Gutiérrez MS, Navarrete F, Sala F, Gasparyan A, Austrich-Olivares A, Manzanares J. Biomarkers in Psychiatry: Concept, Definition, Types and Relevance to the Clinical Reality. Front Psychiatry. 2020;11:432. [View at Publisher] [DOI] [PubMed] [Google Scholar]
20. Biomarkers and surrogate endpoints: preferred definitions and conceptual framework. Clin Pharmacol Ther. 2001;69(3):89-95. [View at Publisher] [DOI] [PubMed] [Google Scholar]
21. Lener MS, Iosifescu DV. In pursuit of neuroimaging biomarkers to guide treatment selection in major depressive disorder: a review of the literature. Ann N Y Acad Sci. 2015;1344:50-65. [View at Publisher] [DOI] [PubMed] [Google Scholar]
22. Fu CH, Costafreda SG. Neuroimaging-based biomarkers in psychiatry: clinical opportunities of a paradigm shift. Can J Psychiatry. 2013;58(9):499-508. [View at Publisher] [DOI] [PubMed] [Google Scholar]
23. Gottfried JA. Smell: central nervous processing. Adv Otorhinolaryngol. 2006;63:44-69. [View at Publisher] [DOI] [PubMed] [Google Scholar]
24. LeDoux JE. Emotion circuits in the brain. Annu Rev Neurosci. 2000;23:155-84. [View at Publisher] [DOI] [PubMed] [Google Scholar]
25. Atanasova B, Graux J, El Hage W, Hommet C, Camus V, Belzung C. Olfaction: a potential cognitive marker of psychiatric disorders. Neurosci Biobehav Rev. 2008;32(7):1315-25. [View at Publisher] [DOI] [PubMed] [Google Scholar]
26. Buschhüter D, Smitka M, Puschmann S, Gerber JC, Witt M, Abolmaali ND, et al. Correlation between olfactory bulb volume and olfactory function. Neuroimage. 2008;42(2):498-502. [View at Publisher] [DOI] [PubMed] [Google Scholar]
27. Rombaux P, Duprez T, Hummel T. Olfactory bulb volume in the clinical assessment of olfactory dysfunction. Rhinology. 2009;47(1):3-9. [PubMed] [Google Scholar]
28. Haehner A, Rodewald A, Gerber JC, Hummel T. Correlation of olfactory function with changes in the volume of the human olfactory bulb. Arch Otolaryngol Head Neck Surg. 2008;134(6):621-4. [View at Publisher] [DOI] [PubMed] [Google Scholar]
29. Murray CJ, Lopez AD. Evidence-based health policy--lessons from the Global Burden of Disease Study. Science. 1996;274(5288):740-3. [View at Publisher] [DOI] [PubMed] [Google Scholar]
30. Andrade L, Caraveo-Anduaga JJ, Berglund P, Bijl RV, De Graaf R, Vollebergh W, et al. The epidemiology of major depressive episodes: results from the International Consortium of Psychiatric Epidemiology (ICPE) Surveys. Int J Methods Psychiatr Res. 2003;12(1):3-21. [View at Publisher] [DOI] [PubMed] [Google Scholar]
31. Ormel J, Kessler RC, Schoevers R. Depression: more treatment but no drop in prevalence: how effective is treatment? And can we do better? Curr Opin Psychiatry. 2019;32(4):348-54. [View at Publisher] [DOI] [PubMed] [Google Scholar]
32. Vennemann MM, Hummel T, Berger K. The association between smoking and smell and taste impairment in the general population. J Neurol. 2008;255(8):1121-6. [View at Publisher] [DOI] [PubMed] [Google Scholar]
33. Negoias S, Croy I, Gerber J, Puschmann S, Petrowski K, Joraschky P, et al. Reduced olfactory bulb volume and olfactory sensitivity in patients with acute major depression. Neuroscience. 2010;169(1):415-21. [View at Publisher] [DOI] [PubMed] [Google Scholar]
34. Negoias S, Hummel T, Symmank A, Schellong J, Joraschky P, Croy I. Olfactory bulb volume predicts therapeutic outcome in major depression disorder. Brain Imaging Behav. 2016;10(2):367-72. [View at Publisher] [DOI] [PubMed] [Google Scholar]
35. Rottstädt F, Han P, Weidner K, Schellong J, Wolff-Stephan S, Strauß T, et al. Reduced olfactory bulb volume in depression-A structural moderator analysis. Hum Brain Mapp. 2018;39(6):2573-82. [View at Publisher] [DOI] [PubMed] [Google Scholar]
36. Rottstaedt F, Weidner K, Strauß T, Schellong J, Kitzler H, Wolff-Stephan S, et al. Size matters - The olfactory bulb as a marker for depression. J Affect Disord. 2018;229:193-8. [View at Publisher] [DOI] [PubMed] [Google Scholar]
37. Ozdemir N, Atcı I, Bag S, Yilmaz H, Karagoz Y, Yilmaz A. Magnetic resonance imaging study; does the olfactory bulb volume change in major depression? Romanian Neurosurgery. 2016;30. [View at Publisher] [DOI] [Google Scholar]
38. Gül A, Sari K, Özkırış M, Aydin R, Simsek G, Serin H, et al. Correlation Between Olfactory Bulb Volume and Chronic Depression: A Magnetic Resonance Imaging Study. Bulletin of Clinical Psychopharmacology. 2015;25. [View at Publisher] [DOI] [Google Scholar]
39. Asal N, Bayar Muluk N, Inal M, Şahan MH, Doğan A, Buturak SV. Olfactory bulbus volume and olfactory sulcus depth in psychotic patients and patients with anxiety disorder/depression. Eur Arch Otorhinolaryngol. 2018;275(12):3017-24. [View at Publisher] [DOI] [PubMed] [Google Scholar]
40. Lotankar S, Prabhavalkar KS, Bhatt LK. Biomarkers for Parkinson's Disease: Recent Advancement. Neurosci Bull. 2017;33(5):585-97. [View at Publisher] [DOI] [PubMed] [Google Scholar]
41. Doty RL. Olfaction in Parkinson's disease and related disorders. Neurobiol Dis. 2012;46(3):527-52. [DOI] [PubMed]
42. Ross GW, Petrovitch H, Abbott RD, Tanner CM, Popper J, Masaki K, et al. Association of olfactory dysfunction with risk for future Parkinson's disease. Ann Neurol. 2008;63(2):167-73. [DOI] [PubMed]
43. Monderer R, Thorpy M. Sleep disorders and daytime sleepiness in Parkinson's disease. Curr Neurol Neurosci Rep. 2009;9(2):173-80. [DOI] [PubMed]
44. Paschen L, Schmidt N, Wolff S, Cnyrim C, van Eimeren T, Zeuner KE, et al. The olfactory bulb volume in patients with idiopathic Parkinson's disease. Eur J Neurol. 2015;22(7):1068-73. [DOI] [PubMed]
45. Brodoehl S, Klingner C, Volk GF, Bitter T, Witte OW, Redecker C. Decreased olfactory bulb volume in idiopathic Parkinson's disease detected by 3.0-tesla magnetic resonance imaging. Mov Disord. 2012;27(8):1019-25. [DOI] [PubMed]
46. Tremblay C, Mei J, Frasnelli J. Olfactory bulb surroundings can help to distinguish Parkinson's disease from non-parkinsonian olfactory dysfunction. Neuroimage Clin. 2020;28:102457. [DOI] [PubMed]
47. Chen S, Tan HY, Wu ZH, Sun CP, He JX, Li XC, et al. Imaging of olfactory bulb and gray matter volumes in brain areas associated with olfactory function in patients with Parkinson's disease and multiple system atrophy. Eur J Radiol. 2014;83(3):564-70. [DOI] [PubMed]
48. Hakyemez HA, Veyseller B, Ozer F, Ozben S, Bayraktar GI, Gurbuz D, et al. Relationship of olfactory function with olfactory bulbus volume, disease duration and Unified Parkinson's disease rating scale scores in patients with early stage of idiopathic Parkinson's disease. J Clin Neurosci. 2013;20(10):1469-70. [DOI] [PubMed]
49. Altinayar S, Oner S, Can S, Kizilay A, Kamisli S, Sarac K. Olfactory disfunction and its relation olfactory bulb volume in Parkinson's disease. Eur Rev Med Pharmacol Sci. 2014;18(23):3659-64. [PubMed]
50. Wang J, You H, Liu JF, Ni DF, Zhang ZX, Guan J. Association of olfactory bulb volume and olfactory sulcus depth with olfactory function in patients with Parkinson disease. AJNR Am J Neuroradiol. 2011;32(4):677-81. [DOI] [PubMed]
51. Hang W, Liu G, Han T, Zhang P, Zhang J. [Olfactory function in patients with idiopathic Parkinson's disease]. Zhonghua Er Bi Yan Hou Tou Jing Wai Ke Za Zhi. 2015;50(1):20-4. [PubMed]
52. Mueser KT, McGurk SR. Schizophrenia. Lancet. 2004;363(9426):2063-72. [DOI] [PubMed]
53. Harrison PJ, Weinberger DR. Schizophrenia genes, gene expression, and neuropathology: on the matter of their convergence. Molecular Psychiatry. 2005;10(1):40-68. [DOI] [PubMed]
54. Castle DJ, Murray RM. The neurodevelopmental basis of sex differences in schizophrenia. Psychol Med. 1991;21(3):565-75. [DOI] [PubMed]
55. Haijma SV, Van Haren N, Cahn W, Koolschijn PC, Hulshoff Pol HE, Kahn RS. Brain volumes in schizophrenia: a meta-analysis in over 18 000 subjects. Schizophr Bull. 2013;39(5):1129-38. [View at Publisher] [DOI] [PubMed] [Google Scholar]
56. Nguyen AD, Pelavin PE, Shenton ME, Chilakamarri P, McCarley RW, Nestor PG, et al. Olfactory sulcal depth and olfactory bulb volume in patients with schizophrenia: an MRI study. Brain Imaging Behav. 2011;5(4):252-61. [View at Publisher] [DOI] [PubMed] [Google Scholar]
57. Turetsky BI, Moberg PJ, Yousem DM, Doty RL, Arnold SE, Gur RE. Reduced olfactory bulb volume in patients with schizophrenia. Am J Psychiatry. 2000;157(5):828-30. [View at Publisher] [DOI] [PubMed] [Google Scholar]
58. Turetsky BI, Moberg PJ, Arnold SE, Doty RL, Gur RE. Low olfactory bulb volume in first-degree relatives of patients with schizophrenia. Am J Psychiatry. 2003;160(4):703-8. [View at Publisher] [DOI] [PubMed] [Google Scholar]
59. Adav SS, Sze SK. Insight of brain degenerative protein modifications in the pathology of neurodegeneration and dementia by proteomic profiling. Mol Brain. 2016;9(1):92. [View at Publisher] [DOI] [PubMed] [Google Scholar]
60. Leandro P, Gomes CM. Protein misfolding in conformational disorders: rescue of folding defects and chemical chaperoning. Mini Rev Med Chem. 2008;8(9):901-11. [View at Publisher] [DOI] [PubMed] [Google Scholar]
61. De-Paula VJ, Radanovic M, Diniz BS, Forlenza OV. Alzheimer's Disease. In: Harris JR, editor. Protein Aggregation and Fibrillogenesis in Cerebral and Systemic Amyloid Disease. Dordrecht: Springer Netherlands; 2012. p. 329-52. [View at Publisher] [DOI] [PubMed] [Google Scholar]
62. Qiu C, De Ronchi D, Fratiglioni L. The epidemiology of the dementias: an update. Curr Opin Psychiatry. 2007;20(4):380-5. [View at Publisher] [DOI] [PubMed] [Google Scholar]
63. Jellinger KA, Attems J. Prevalence and impact of cerebrovascular pathology in Alzheimer's disease and parkinsonism. Acta Neurol Scand. 2006;114(1):38-46. [View at Publisher] [DOI] [PubMed] [Google Scholar]
64. ter Laak HJ, Renkawek K, van Workum FP. The olfactory bulb in Alzheimer disease: a morphologic study of neuron loss, tangles, and senile plaques in relation to olfaction. Alzheimer Dis Assoc Disord. 1994;8(1):38-48. [View at Publisher] [DOI] [PubMed] [Google Scholar]
65. Thomann PA, Dos Santos V, Toro P, Schönknecht P, Essig M, Schröder J. Reduced olfactory bulb and tract volume in early Alzheimer's disease--a MRI study. Neurobiol Aging. 2009;30(5):838-41. [View at Publisher] [DOI] [PubMed] [Google Scholar]
66. Thomann PA, Dos Santos V, Seidl U, Toro P, Essig M, Schröder J. MRI-derived atrophy of the olfactory bulb and tract in mild cognitive impairment and Alzheimer's disease. J Alzheimers Dis. 2009;17(1):213-21. [View at Publisher] [DOI] [PubMed] [Google Scholar]
67. Servello A, Fioretti A, Gualdi G, Di Biasi C, Pittalis A, Sollaku S, et al. Olfactory Dysfunction, Olfactory Bulb Volume and Alzheimer's Disease: Is There a Correlation? A Pilot Study1. J Alzheimers Dis. 2015;48(2):395-402. [View at Publisher] [DOI] [PubMed] [Google Scholar]
68. Goldenberg MM. Multiple sclerosis review. P T. 2012;37(3):175-84. [View at Publisher] [PubMed] [Google Scholar]
69. Leray E, Moreau T, Fromont A, Edan G. Epidemiology of multiple sclerosis. Rev Neurol (Paris). 2016;172(1):3-13. [View at Publisher] [DOI] [PubMed] [Google Scholar]
70. Harris VK, Sadiq SA. Disease biomarkers in multiple sclerosis: potential for use in therapeutic decision making. Mol Diagn Ther. 2009;13(4):225-44. [View at Publisher] [DOI] [PubMed] [Google Scholar]
71. Goektas O, Schmidt F, Bohner G, Erb K, Ludemann L, Dahlslett B, et al. Olfactory bulb volume and olfactory function in patients with multiple sclerosis. Rhinology. 2011;49(2):221-6. [View at Publisher] [DOI] [PubMed] [Google Scholar]
72. Yaldizli Ö, Penner IK, Yonekawa T, Naegelin Y, Kuhle J, Pardini M, et al. The association between olfactory bulb volume, cognitive dysfunction, physical disability and depression in multiple sclerosis. Eur J Neurol. 2016;23(3):510-9. [View at Publisher] [DOI] [PubMed] [Google Scholar]
73. Silberstein SD. Migraine. Lancet. 2004;363(9406):381-91. [View at Publisher] [DOI] [PubMed] [Google Scholar]
74. Aktürk T, Tanık N, Serin H, Saçmacı H, İnan LE. Olfactory bulb atrophy in migraine patients. Neurol Sci. 2019;40(1):127-32. [View at Publisher] [DOI] [PubMed] [Google Scholar]
75. Doğan A, Bayar Muluk N, Şahan MH, Asal N, Inal M, Ergün U. Olfactory bulbus volume and olfactory sulcus depth in migraine patients: an MRI evaluation. Eur Arch Otorhinolaryngol. 2018;275(8):2005-11. [View at Publisher] [DOI] [PubMed] [Google Scholar]

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