Proton magnetic resonance spectroscopic imaging of gray and white matter in bipolar-I and schizophrenia

Bustillo, Juan; Jones, Thomas R.; Qualls, Clifford; Chavez, L. S.; Lin, Denise; Lenroot, Rhoshel; Gasparovic, Charles

doi:10.1016/j.jad.2018.12.064

Cited by 19 publications

(11 citation statements)

References 33 publications

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“…The results of our ROC analyses suggest that the right hippocampal volume is a potential marker for differentiation between SZ and BD. To this end, multimodal functional neuroimaging studies [26,[51][52][53][54][55][56][57][58][59][60][61] that combine structural MRI [3,16,[18][19][20][21]23,[26][27][28][42][43][44]51,[61][62][63], functional MRI [26,[53][54][55][56][57][58][59][60][61]64,65], magnetic resonance spectroscopy [66][67][68][69], positron emission tomography [69][70][71][72], elec...…”

Section: Discussionmentioning

confidence: 99%

Lower Hippocampal Volume in Patients with Schizophrenia and Bipolar Disorder: A Quantitative MRI Study

Sato

Hirano

Hirakawa

et al. 2021

JPM

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Since patients with schizophrenia (SZ) and bipolar disorder (BD) share many biological features, detecting biomarkers that differentiate SZ and BD patients is crucial for optimized treatments. High-resolution magnetic resonance imaging (MRI) is suitable for detecting subtle brain structural differences in patients with psychiatric disorders. In the present study, we adopted a neuroanatomically defined and manually delineated region of interest (ROI) method to evaluate the amygdalae, hippocampi, Heschl’s gyrus (HG), and planum temporale (PT), because these regions are crucial in the development of SZ and BD. ROI volumes were measured using high resolution MRI in 31 healthy subjects (HS), 23 SZ patients, and 21 BD patients. Right hippocampal volumes differed significantly among groups (HS > BD > SZ), whereas left hippocampal volumes were lower in SZ patients than in HS and BD patients (HS = BD > SZ). Volumes of the amygdalae, HG, and PT did not differ among the three groups. For clinical correlations, there were no significant associations between ROI volumes and demographics/clinical symptoms. Our study revealed significant lower hippocampal volume in patients with SZ and BD, and we suggest that the right hippocampal volume is a potential biomarker for differentiation between SZ and BD.

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Section: Discussionmentioning

confidence: 99%

Lower Hippocampal Volume in Patients with Schizophrenia and Bipolar Disorder: A Quantitative MRI Study

Sato

Hirano

Hirakawa

et al. 2021

JPM

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“…Similarly, a study using TBSS in patients with SZ or BD found evidence of WM disconnectivity in both patient groups compared to controls; again, patient groups did not differ from each other (Kumar et al, 2015). However, a recent study found more pronounced NAA reductions in patients with BD compared to patients with SZ in younger subject only (Bustillo et al, 2019), and a recent selective review of white matter abnormalities in SZ and BD found abnormalities of frontal connectivity in both disorders, with more pronounced fronto-temporal alterations in SZ and more pronounced inter-hemispheric and limbic alterations in BD. These studies suggest that there are some common and some distinct pathways between these disorders (O'Donoghue et al, 2017).…”

Section: Introductionmentioning

confidence: 87%

Role of glia in prefrontal white matter abnormalities in first episode psychosis or mania detected by diffusion tensor spectroscopy

Lewandowski

Fan

et al. 2019

Schizophrenia Research

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Background: White matter (WM) abnormalities are among the most commonly described neuroimaging findings in patients with psychotic disorders including schizophrenia (SZ) and bipolar disorder (BD), and may be central to pathophysiology. Few studies have directly compared WM abnormalities in patients with SZ and BD in the first episode of illness, and no studies to date have attempted to separate abnormalities of axon and myelin using complementary MRI techniques. Methods: We examined WM abnormalities in young adults with SZ (n=19) or BD (n=16) within the first year of illness onset, and healthy controls (n=22) using a combination of diffusion tensor spectroscopy to measure NAA, creatine (Cr), and choline (Cho), and magnetization transfer ratio (MTR). MTR reflects myelin content, NAA diffusion is neuron specific, and Cr and Cho diffusion reflect both neuron and glial signal. Results: We found no differences in MTR or NAA ADC in either patient group compared to controls, but significant elevations of both Cr and Cho diffusion in patients with SZ, and elevations of Cho diffusion in patients with BD. Elevations in Cr and Cho diffusion in the absence of NAA diffusion abnormalities indicate that the aberrant signal arises in glia. Conclusions: Glial abnormalities were present and detectable by the first episode of psychosis, whereas major abnormalities in axon and myelin were not. Examination of these neurobiological markers early in the course of illness may clarify the neuroprogressive nature of these distinct aspects of WM, and their associations with early clinical phenotypes.

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“…Full width at half maximum was 0.042 ± 0.007 parts per million (range, 0.031-0.061) for the BD group and 0.038 ± 0.006 parts per million (range, 0.031-0.055) for the HC group. The signal-to-noise ratio was 19.6 ± 2.9 parts per million (range, [13][14][15][16][17][18][19][20][21][22][23][24][25][26][27][28][29] for the BD group and 22.7 ± 2.9 parts per million (range, [15][16][17][18][19][20][21][22][23][24][25][26][27][28] for the HC group. BD patients had higher linewidth (t = 2.5, p = 0.013) and lower signal-to-noise ratio (t = 5.55, p < 0.001) than had HCs.…”

Section: Resultsmentioning

confidence: 99%

“…Contrasting results have been reported regarding mI alterations in BD [for a review, see (25,26)]. Increased mI concentrations have been reported in euthymic and manic bipolar children, no difference has been reported in adult bipolar patients compared with controls (27), but reduced concentrations in patients taking lithium (28) and irrespective of lithium treatment (29) have been reported.…”

Section: Introductionmentioning

confidence: 95%

Proinflammatory Cytokines Predict Brain Metabolite Concentrations in the Anterior Cingulate Cortex of Patients With Bipolar Disorder

et al. 2020

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Bipolar disorder (BD) is a severe psychiatric illness characterized by abnormalities in the immune/inflammatory function and in brain metabolism. Evidences suggest that inflammation may affect the levels of brain metabolites as measured by single-proton magnetic resonance spectroscopy (1H-MRS). The aim of the study was to investigate whether a wide panel of inflammatory markers (i.e., cytokines, chemokines, and growth factors) can predict brain metabolite concentrations of glutamate, myo-inositol, N-acetylaspartate, and glutathione in a sample of 63 bipolar patients and 49 healthy controls. Three cytokines influenced brain metabolite concentrations: IL-9 positively predicts glutamate, IL-1β positively predicts Myo-inositol, and CCL5 positively predicts N-acetylaspartate concentrations. Furthermore, patients showed higher concentrations of glutamate, Myo-inositol, and glutathione and lower concentrations of N-acetylaspartate in respect to healthy controls. Our results confirm that inflammation in BD alters brain metabolism, through mechanisms possibly including the production of reactive oxygen species and glia activation.

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Proton magnetic resonance spectroscopic imaging of gray and white matter in bipolar-I and schizophrenia

Cited by 19 publications

References 33 publications

Lower Hippocampal Volume in Patients with Schizophrenia and Bipolar Disorder: A Quantitative MRI Study

Lower Hippocampal Volume in Patients with Schizophrenia and Bipolar Disorder: A Quantitative MRI Study

Role of glia in prefrontal white matter abnormalities in first episode psychosis or mania detected by diffusion tensor spectroscopy

Proinflammatory Cytokines Predict Brain Metabolite Concentrations in the Anterior Cingulate Cortex of Patients With Bipolar Disorder

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