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ORIGINAL ARTICLE  
Year : 2019  |  Volume : 61  |  Issue : 6  |  Page : 630-634
Investigating spontaneous brain activity in bipolar disorder: A resting-state functional magnetic resonance imaging study


1 Department of Psychiatry, Government Medical College, Aurangabad, Maharashtra, India
2 Department of Psychiatry, National Institute of Mental Health and Neurosciences, Bengaluru, Karnataka, India
3 Achalia Neuropsychiatry Clinic, Aurangabad, Maharashtra, India

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Date of Web Publication5-Nov-2019
 

   Abstract 


Background: Despite several neuroimaging studies in the past few years, the exact pathophysiology responsible for the development of bipolar disorder (BD) is still not completely known. Importantly, to the best of our knowledge, no study from India has examined resting state (RS) connectivity abnormalities in BD using regional homogeneity (ReHo). Hence, we examined spontaneous brain activity in patients with BD using RS functional magnetic resonance imaging (RS-fMRI).
Aim: The aim of the study is to examine the spontaneous brain activity in patients with BD-I using ReHo approach and RS-fMRI compared to age- and gender-matched healthy control (HC).
Materials and Methods: A total of 20 patients with BD and 20 age-, gender-, and education-matched HCs participated in the study. The fMRI data were obtained using 1.5T scanner. RS-fMRI abnormalities were analyzed using ReHo method.
Results: Compared to healthy adults, significantly increased ReHo in the BD group was found in the right precuneus, right insula, right supramarginal gyrus, left superior frontal gyrus, right inferior frontal gyrus, right precentral gyrus, and right paracentral lobule. No region had significantly lower ReHo values in BD patients compared to controls.
Conclusion: These results suggested that abnormal local synchronization of spontaneous brain activity is present in the frontoparietoinsular region which may be related to the pathophysiology of BD.

Keywords: Bipolar disorder, functional magnetic resonance imaging, regional homogeneity

How to cite this article:
Achalia RM, Jacob A, Achalia G, Sable A, Venkatasubramanian G, Rao NP. Investigating spontaneous brain activity in bipolar disorder: A resting-state functional magnetic resonance imaging study. Indian J Psychiatry 2019;61:630-4

How to cite this URL:
Achalia RM, Jacob A, Achalia G, Sable A, Venkatasubramanian G, Rao NP. Investigating spontaneous brain activity in bipolar disorder: A resting-state functional magnetic resonance imaging study. Indian J Psychiatry [serial online] 2019 [cited 2019 Nov 21];61:630-4. Available from: http://www.indianjpsychiatry.org/text.asp?2019/61/6/630/270338





   Introduction Top


Bipolar disorder (BD) affects 1.5%–3% of the population and remains a significant source of morbidity, poor work functioning, and mortality.[1] BD is characterized by episodes of mania and depression. Despite several neuroimaging studies in the past few years, the exact pathophysiology responsible for the development of BD is still unknown. Functional magnetic resonance imaging (fMRI) studies use two modalities, i.e., task-related and resting-state (RS) method. Task-based studies lack consistency and applicability due to differences in neuropsychological paradigm and activation of specific task-based brain region rather than giving information about whole-brain functioning.[2] RS fMRI is an important tool to explore the spontaneous brain activity in BD.

Currently, the RS data processing methods include seed-based approaches, amplitude of low-frequency fluctuation (ALFF) and fractional ALFF, independent component analysis, regional homogeneity (ReHo) analysis, and restricted global brain connectivity.[3] ReHo, a newly developed method, reflects the temporal homogeneity of the regional blood oxygen level-dependent signal rather than its density and serves as a complement for resting-state functional connectivity. Abnormal ReHo may be relevant to the changes of temporal aspects of neural activity in the regional area and can be used to find abnormal activity in the whole brain.[4] The method does not demand a preliminary hypothesis such as a defined volume of interest for correlation analysis. Besides the functional connectivity analysis, the ReHo method can provide new insights in analyzing disease-related RS-fMRI data. An abnormal functional connectivity between two distinct regions indicates an abnormal relationship between these two regions; however, the method does not confirm which specific region is abnormal. In contrast, an abnormal ReHo indicates abnormal brain activity in a specific region. ReHo assumes that, within a functional cluster, the hemodynamic feature of each voxel would be similar or synchronous with that of others, and that this similarity could be altered or modulated in different situations. Higher ReHo indicates more synchronization in the functional cluster, which may illustrate functional synchronization in certain brain regions.[4] This method has already been used for investigation of functional modulations in the RS for patients with Alzheimer's disease,[5] schizophrenia,[6] and Parkinson's disease.[7]

Till date, there are very few studies in BD using ReHo approach.[8],[9],[10],[11],[12] Out of these five studies, two are in pediatric age group and three studies are in adult bipolar/unipolar depression. There is no study in adult BD in manic/euthymic phase. Importantly, to the best of our knowledge, no study from India has examined RS connectivity abnormalities in BD using ReHo. Hence, in this first-time study from India, we used ReHo approach to identify RS brain activity in patients with BD compared to healthy controls (HCs).


   Materials and Methods Top


Subjects

The study sample comprised 20 patients with DSM-IV BD Type I and 20 healthy volunteers. Patients meeting the DSM-IV diagnostic criteria for BD or first episode of mania were recruited from the Department of Psychiatry of a Government Medical College. The diagnosis was established by applying Mini-International Neuropsychiatric Interview-Plus (MINI-Plus).[13] An experienced psychiatrist confirmed the diagnosis through an independent clinical interview. Patients had no history of comorbid medical illness or any other psychiatric illness, including substance dependence. We collected relevant clinical information pertinent to illness onset, demographic and clinical details, and ascertained it via information obtained from the patient and family members. We assessed psychopathology using the Hamilton Depression Rating Scale[14] and Young Mania Rating Scale.[15] Healthy volunteers were assessed for Axis I psychiatric disorder using MINI Plus and none of them had any Axis I psychiatric disorder. They had no history of medical illness or substance dependence. There was no family history of psychiatric illness, including alcohol dependence syndrome in first-degree relatives. Patients were in different phases of illness with 8 being in remission and 12 being symptomatic at the time of assessment. Out of 20 patients, 5 patients had prior history of depressive episode and among the remaining 15 who had only episodes of mania, 8 were in the first episode. A total of 9 of the 20 had psychotic symptoms, while 11 had no psychotic symptoms. Considering the different stages of illness, patients were on treatment with combination of mood stabilizer and antipsychotic medications: 15 patients were treated with lithium, 13 patients with valproate, 1 patient with oxcarbazepine, 4 patients with lamotrigine, and 20 patients with antipsychotics. We assessed handedness using Edinburgh Handedness Inventory[16] and recruited right-handed participants. Written informed consent was obtained from all the participants beforethe assessment. The study was approved by the Institute Ethics Committee.

Data acquisition

An RS fMRI MR image using an EPI sequence was obtained using 1.5T MR scanner (Philips Achieva) with the following scanning parameters: 8 channel, 37 slices, TR = 2000 ms, echo time (TE) = 30 ms, acquisition matrix of 64 × 64 and slice thickness of 3 mm, field of vision (FOV) of 192 × 192 with resolution of 3 mm × 3 mm × 3 mm, and angulations anterior commissure (AC) - posterior commissure (PC).

Data analysis

Preprocessing of the fMRI images were done using SPM 12 (http://www.fil.ion.ucl.ac.uk/spm). The images were corrected for acquisition delay and head motion and normalized to a standard EPI template. A temporal band-pass filter was used to remove low-frequency drift and physiological noise. Linear trends were also removed. A ReHo analysis was done using Rest Toolbox (http://www.resting-fmri.sourceforge.net). ReHo is a method to examine the synchronization of a voxel's time series with its nearest neighbors. This involved calculating the Kendall's correlation coefficient (KCC) for each voxel's time series and its 26 neighboring voxels.



Where W is the KCC value of a given voxel; Ri the sum rank of the ith time point; is the mean of the Ri's; K is the number of time series within a cluster; and n is the number of ranks. ReHo maps were created for each participant. Each map was divided by the global mean KCC value to standardize the maps. To examine the differences in ReHo patterns between patients and HCs, two-sample t-tests were performed. The results were threshold at P < 0.0001 (uncorrected) with cluster sizes more than 6 voxels. A mask was used to remove the nonbrain tissue. The schematic representation of analysis pipeline is given in [Figure 1].
Figure 1: Schematic representation of steps involved in analysis and the software used

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   Results Top


There was no difference between the two groups on age and sex [P > 0.5; [Table 1]. Clinical details of patients are given in [Table 1]. The demographic and clinical features are described in [Table 1]. There was a significant difference between groups in ReHo values; on independent t-test, the patient group had significantly higher ReHo values in the right precuneus (BA 7), right insula (BA 13), right supramarginal gyrus (BA 40), left superior frontal gyrus (SFG) (BA 6), right inferior frontal gyrus (IFG) (BA 47), right precentral gyrus (BA 4), and right paracentral lobule (BA 5). No region had significantly lower ReHo values in patients compared to controls [Figure 2]a and [Figure 2]b.
Table 1: Demographic and clinical characteristics comparison of subjects with bipolar disorder type I and healthy

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Figure 2: (a) Significantly higher regional homogeneity in the right precuneus in bipolar disorder compared to healthy volunteers. The difference in regional homogeneity between bipolar disorder and healthy volunteers is represented in yellow color and overlaid on structural T1 image for visualization. (b) Significantly higher regional homogeneity in the right insula and left superior frontal gyrus in bipolar disorder compared to healthy volunteers. The difference in regional homogeneity between bipolar disorder and healthy volunteers is represented in yellow color and overlaid on structural T1 image for visualization

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   Discussion Top


To the best of our knowledge, this is the first Indian study in adult BD to examine neural synchronization of local brain areas during spontaneous brain activity using ReHo approach and RS fMRI. We found abnormal brain activity in the BD group relative to the HC group in several brain regions. Significantly increased ReHo in the BD group was mainly found in the right precuneus, right insula, right supramarginal gyrus, left SFG, right IFG, right precentral gyrus, and right paracentral lobule. No region had significantly lower ReHo values in patients compared to controls.

The increased ReHo in BD patients may indicate increased local synchronization of spontaneous functional activity. SFG is involved in mental manipulations, monitoring of information, spatial working memory, and executive functions.[17] Xiao et al.[10] have shown that decreased ReHo in SFG in pediatric BD. Taking together this data, along with our finding, suggest SFG is abnormal in BD. Differences in participant characteristics (adult vs. pediatric BD) may be the reason for differences in findings. Our study also found increased ReHo in the right IFG. IFG is involved in inhibitory and attention control, executive function.[18] IFG is also involved in subjective perception of the riskiness of the option.[19] The right-sided prefrontal lesion studies have demonstrated riskier behavior[20] in patients. Previous study by Liang et al.[9] has shown decreased ReHo in BD in depressive state. Right supramarginal gyrus (rSMG) is important for overcoming emotional egocentricity.[21] Egocentricity is a prominent feature in BD. rSMG was found to have increased coherence in BD patien, indicating dysfunctional rSMG in BD.

The precuneus is an intriguing cortical area involved in visuospatial imagery, episodic memory retrieval, self-processing, and consciousness.[22] Xiao et al.[10] have found decreased ReHo in pediatric BD patients and Liang et al.[9] reported increased ReHo in bipolar depression and unipolar depression, suggesting that self-awareness and introspection might be related to precuneus dysfunction. Precuneus is also a functional core of default mode network which is important in regulation of attention and cognition network. Our study found that ReHo value of precuneus was increased in BD which indicates that precuneus is dysfunctional in BD. Our study found increased ReHo in the right insular cortex. Human insular cortex is important for self-recognition, awareness of emotions, time perception, empathy, and decision-making under uncertainty, processing of music and language, intersubjective perspective-taking, cooperation, and guidance of social interactions.[23],[24],[25] Insular dysfunction may lead to pathophysiological processes predisposing BD patients to impaired integration of external emotional and interoceptive information,[26],[27],[28] that in turn may result in behavioral and emotional dysregulation. We also observed increased ReHo in the right precentral gyrus and right paracentral lobule. Xiao et al. 2013[10] reported aberrant coherence in precentral gyrus in pediatric BD compared to healthy adults. Increased ReHo may reflect neural hyperactivity in a regional brain area. Right precentral gyrus and right paracentral lobule play a part in many cognitive processes; ReHo increase observed in these regions may support previous findings of aberrant activity in BD during cognitive regulation.

Limitations

Our study findings need to be considered in the background of several limitations. First, the sample size of our study was small which limits the generalizability of the results. Second, all the patients in our study were on psychotropic medication. While the effect of psychotropic medication on the brain is still controversial, one cannot rule out the confounding effect of these medications.[29],[30],[31],[32] Future studies in drug-naïve patients would possibly control the confounding effects of medication.


   Conclusion Top


We used ReHo method to investigate the brain connectivity abnormalities between BD and HC. We found increased neuronal synchronization in the right precuneus, right insula, rSMG, left SFG, right IFG, right precentral gyrus, and right paracentral lobule. The areas implicated in the present study play an important role in the pathophysiology of BD.

Financial support and sponsorship

This study was supported by a grant from the Medical Research Council of Maharashtra, Government of Maharashtra, India under Star Research Project (PI: Rashmin Achalia). The funding agency did not have role in design of study or interpretation of results.

Conflicts of interest

There are no conflicts of interest.



 
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Correspondence Address:
Dr. Rashmin Mansukh Achalia
Associate Professor, Department of Psychiatry, JIIU'S Indian Institute of Medical Science and Research, Warudi, Jalna, Maharashtra
India
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Source of Support: None, Conflict of Interest: None


DOI: 10.4103/psychiatry.IndianJPsychiatry_391_19

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