| Literature DB >> 31667432 |
Tsutomu Takahashi1, Mihoko Nakamura1, Daiki Sasabayashi1, Yumiko Nishikawa1, Yoichiro Takayanagi1, Atsushi Furuichi1, Mikio Kido1, Yuko Mizukami1, Shimako Nishiyama1, Yuko Higuchi1, Takahiro Tateno1, Hiroko Itoh1, Kyo Noguchi2, Yuri Masaoka3, Michio Suzuki1.
Abstract
Olfactory impairment has been reported in patients with schizophrenia and individuals with a high risk of psychosis, but its neural basis is largely unknown. We used magnetic resonance imaging to investigate the morphology of the olfactory sulcus (an indicator of olfactory system development) and its relation to olfactory function in 38 persons with an at-risk mental state (ARMS), 62 patients with schizophrenia, and 61 healthy controls. Odor detection and identification were examined with a T & T olfactometer. Compared with the controls, the olfactory sulcus was significantly shallower and odor identification was inferior among the ARMS and schizophrenia subjects. Across all subjects, but not within each group, the olfactory sulcus depth was significantly related to better identification of odors. Our results support the concept that olfactory sulcus morphology reflects the neurodevelopmental process of the olfactory system.Entities:
Keywords: Anatomy; At-risk mental state; Medical imaging; Neurodevelopment; Neuroscience; Olfaction; Olfactory sulcus; Psychiatry; Schizophrenia
Year: 2019 PMID: 31667432 PMCID: PMC6812217 DOI: 10.1016/j.heliyon.2019.e02642
Source DB: PubMed Journal: Heliyon ISSN: 2405-8440
Demographic/clinical data, olfactory function, and brain measures in the ARMS, schizophrenia, and control groups.
| Controls ( | ARMS ( | Sz ( | Group difference | |
|---|---|---|---|---|
| Age | 25.6 ± 3.2 | 18.4 ± 3.9 | 28.2 ± 9.3 | |
| Male/female | 32/29 | 24/14 | 29/33 | Chi-square = 2.54, |
| Height (cm) | 166.0 ± 8.3 | 165.3 ± 9.0 | 163.3 ± 8.5 | |
| JART-IQ | 110.2 ± 5.9 | 98.0 ± 10.2 | 99.9 ± 9.4 | |
| Handedness (right/mixed/left) | 40/15/6 | 22/12/4 | 51/9/2 | Fisher's exact test, |
| Age of onset (years) | - | - | 22.5 ± 7.4 | - |
| Duration of illness (years) | - | - | 5.6 ± 6.0 | - |
| Medication dose (HPD equiv., mg/day) | - | 2.0 ± 1.6 (n = 11) | 11.1 ± 7.8 (n = 50) | |
| Medication type (atypical/typical/mixed) | - | 9/1/1 | 44/1/5 | Fisher's exact test, |
| Duration of medication (years) | - | 0.7 ± 1.3 (n = 14) | 5.2 ± 6.2 (n = 52) | |
| PANSS positive | - | 11.4 ± 3.6 | 14.0 ± 5.6 | |
| PANSS negative | - | 15.4 ± 6.7 | 16.2 ± 6.2 | |
| PANSS general | - | 30.4 ± 8.1 | 31.1 ± 9.8 | |
| SOFAS | - | 52.2 ± 10.8 | 48.1 ± 14.0 | |
| SCoRS global rating score | - | 5.4 ± 2.4 | 5.2 ± 2.5 | |
| BACS subdomain z-scores | Group x domain interaction, | |||
| Verbal memory | - | -0.9 ± 1.6 | -1.4 ± 1.4 | |
| Working memory | - | -0.8 ± 1.4 | -1.0 ± 1.3 | |
| Motor function | - | -0.8 ± 1.4 | -1.9 ± 1.5 | |
| Verbal fluency | - | -1.0 ± 1.6 | -0.8 ± 1.1 | |
| Attention and processing speed | - | -0.3 ± 1.3 | -1.4 ± 1.5 | |
| Executive function | - | -0.5 ± 1.3 | -0.8 ± 1.6 | |
| BACS mean z-score | - | -0.7 ± 1.1 | -1.2 ± 1.0 | |
| Odor detection threshold | ||||
| Mean | 0.05 ± 0.42 | 0.17 ± 0.83 | 0.10 ± 0.84 | |
| Odor A (rose) | -0.13 ± 0.85 | 0.00 ± 1.16 | 0.23 ± 1.23 | |
| Odor B (caramel) | 0.07 ± 0.54 | 0.05 ± 0.93 | -0.06 ± 0.94 | |
| Odor C (rotten food or sweaty clothes) | 0.30 ± 0.74 | 0.53 ± 1.11 | 0.27 ± 1.07 | |
| Odor D (sweet fruit) | 0.33 ± 0.79 | 0.34 ± 0.97 | 0.35 ± 1.04 | |
| Odor E (fecal material) | -0.30 ± 0.64 | -0.08 ± 1.02 | -0.27 ± 1.03 | |
| Odor identification threshold | ||||
| Mean | 0.75 ± 0.45 | 1.29 ± 0.88 | 1.18 ± 0.90 | |
| Odor A (rose) | 0.89 ± 0.82 | 1.71 ± 1.64 | 1.69 ± 1.65 | |
| Odor B (caramel) | 0.59 ± 0.59 | 0.87 ± 1.04 | 0.76 ± 0.78 | |
| Odor C (rotten food or sweaty clothes) | 0.66 ± 0.54 | 1.37 ± 1.08 | 1.00 ± 0.83 | |
| Odor D (sweet fruit) | 1.00 ± 0.63 | 1.29 ± 0.93 | 1.42 ± 1.42 | |
| Odor E (fecal material) | 0.64 ± 1.46 | 1.24 ± 1.26 | 1.03 ± 1.46 | |
| Subjects with olfactory deficits | 12 (19.7) | 23 (60.5) | 28 (45.2) | Chi-square = 17.95, p < 0.01; Controls < ARMS, Sz |
| Olfactory sulcus length (mm) | ||||
| left | 43.3 ± 3.2 | 42.0 ± 3.8 | 42.1 ± 3.4 | |
| right | 44.4 ± 3.4 | 42.7 ± 4.5 | 42.6 ± 3.5 | |
| Olfactory sulcus depth (mm) | ||||
| left | 11.1 ± 0.8 | 9.6 ± 0.8 | 9.5 ± 0.9 | |
| right | 11.9 ± 0.9 | 9.9 ± 0.9 | 9.8 ± 0.9 | |
| Intermediate orbital sulcus depth (mm) | ||||
| left | 8.7 ± 1.4 | 8.7 ± 1.4 | 8.8 ± 1.3 | |
| right | 8.9 ± 1.4 | 9.0 ± 1.4 | 8.8 ± 1.6 | |
| Heschl's sulcus depth (mm) | ||||
| left | 7.7 ± 1.4 | 7.6 ± 1.4 | 7.9 ± 1.7 | |
| right | 6.4 ± 1.0 | 6.3 ± 0.8 | 6.5 ± 1.4 | |
| Intracranial volume (ml) | 1459 ± 126 | 1408±127 | 1436±145 | |
Values represent the mean ± SD unless otherwise stated.
ARMS, at-risk mental state; BACS, Brief Assessment of Cognition In Schizophrenia; HPD, haloperidol; JART, Japanese version of National Adult Reading Test; PANSS, Positive and Negative Syndrome Scale; SCoRS, Schizophrenia Cognition Rating Scale; SOFAS, Social and Occupational Functioning Assessment Scale; Sz, schizophrenia.
Demographic differences between groups were examined with one-way analysis of variance (ANOVA) or the chi-square test. Intergroup differences of social and cognitive function, symptom severity, and intracranial volume were tested using analysis of covariance (ANCOVA) with age as a covariate because the groups showed a significant difference of age. Intergroup differences of olfactory function (detection and identification thresholds) were tested by ANCOVA with age as a covariate and diagnosis and gender as between-subject factors. See the text for details of the statistical analysis of sulcus morphology.
Some participants were medication-free at the time of scanning but had a history of antipsychotic medication.
Data were missing for one schizophrenia patient.
Healthy subjects generally have a score ranging from 90-100 [15].
The primary measure from each test of the BACS was standardized by creating z-scores, with the mean score of Japanese healthy controls set to zero and the standard deviation set to one [11].
Analyzed using log-transformed values because of their skewed distributions (p < 0.001, Kolmogorov-Smirnov test). Note that lower threshold scores indicate better olfactory performance (range, -2 to 5).
Subjects with a mean identification threshold > 1.0.
Estimated using SPM 12 (https://www.fil.ion.ucl.ac.uk/spm/software/spm12/).
Fig. 1Representative coronal slices showing the orbitofrontal (A) and superior temporal (B) regions. The olfactory sulcus, intermediate orbital sulcus (IOS), and Heschl's sulcus on the left hemisphere are colored red. Because we traced the surface of the intrasulcal gray matter using a line 1 mm in width, the number of pixels (1.0 × 1.0 mm) in each coronal slice was equal to the sulcus depth (mm). LOS, lateral orbital sulcus; MOS, medial orbital sulcus.
Fig. 2Correlation between the right olfactory sulcus depth and the mean odor identification threshold in all subjects.
Correlation between the olfactory sulcus depth and identification threshold for each odor.
| Entire sample ( | ||||
|---|---|---|---|---|
| Left depth | Right depth | |||
| Odor identification threshold | ||||
| Odor A (rose) | -0.2130 | 0.007 | -0.274 | >0.001 |
| Odor B (caramel) | -0.1200 | 0.130 | -0.067 | 0.400 |
| Odor C (rotten food or sweaty clothes) | -0.0570 | 0.472 | -0.153 | 0.054 |
| Odor D (sweet fruit) | -0.1010 | 0.203 | -0.127 | 0.110 |
| Odor E (fecal material) | -0.1630 | 0.040 | -0.231 | 0.003 |
Significant even after Bonferroni's correction for multiple comparisons.