Comparison of Cerebellar Grey Matter Alterations in Bipolar and Cerebellar Patients: Evidence from Voxel-Based Analysis

The aim of this study was to compare the patterns of cerebellar alterations associated with bipolar disease with those induced by the presence of cerebellar neurodegenerative pathologies to clarify the potential cerebellar contribution to bipolar affective disturbance. Twenty-nine patients affected by bipolar disorder, 32 subjects affected by cerebellar neurodegenerative pathologies, and 37 age-matched healthy subjects underwent a 3T MRI protocol. A voxel-based morphometry analysis was used to show similarities and differences in cerebellar grey matter (GM) loss between the groups. We found a pattern of GM cerebellar alterations in both bipolar and cerebellar groups that involved the anterior and posterior cerebellar regions (p = 0.05). The direct comparison between bipolar and cerebellar patients demonstrated a significant difference in GM loss in cerebellar neurodegenerative patients in the bilateral anterior and posterior motor cerebellar regions, such as lobules I−IV, V, VI, VIIIa, VIIIb, IX, VIIb and vermis VI, while a pattern of overlapping GM loss was evident in right lobule V, right crus I and bilateral crus II. Our findings showed, for the first time, common and different alteration patterns of specific cerebellar lobules in bipolar and neurodegenerative cerebellar patients, which allowed us to hypothesize a cerebellar role in the cognitive and mood dysregulation symptoms that characterize bipolar disorder.

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Structural and functional changes in the somatosensory cortex in euthymic females with bipolar disorder

Australian & New Zealand Journal of Psychiatry ◽

10.1177/0004867417746001 ◽

2017 ◽

Vol 52 (11) ◽

pp. 1075-1083 ◽

Cited By ~ 11

Author(s):

Luciano Minuzzi ◽

Sabrina K Syan ◽

Mara Smith ◽

Alexander Hall ◽

Geoffrey BC Hall ◽

...

Keyword(s):

Bipolar Disorder ◽

Functional Connectivity ◽

Somatosensory Cortex ◽

Resting State ◽

Healthy Controls ◽

Voxel Based Morphometry ◽

Resting State Functional Connectivity ◽

Functional Changes ◽

Morphometry Analysis ◽

And Function

Objective: Current evidence from neuroimaging data suggests possible dysfunction of the fronto-striatal-limbic circuits in individuals with bipolar disorder. Somatosensory cortical function has been implicated in emotional recognition, risk-taking and affective responses through sensory modalities. This study investigates anatomy and function of the somatosensory cortex in euthymic bipolar women. Methods: In total, 68 right-handed euthymic women (bipolar disorder = 32 and healthy controls = 36) between 16 and 45 years of age underwent high-resolution anatomical and functional magnetic resonance imaging during the mid-follicular menstrual phase. The somatosensory cortex was used as a seed region for resting-state functional connectivity analysis. Voxel-based morphometry was used to evaluate somatosensory cortical gray matter volume between groups. Results: We found increased resting-state functional connectivity between the somatosensory cortex and insular cortex, inferior prefrontal gyrus and frontal orbital cortex in euthymic bipolar disorder subjects compared to healthy controls. Voxel-based morphometry analysis showed decreased gray matter in the left somatosensory cortex in the bipolar disorder group. Whole-brain voxel-based morphometry analysis controlled by age did not reveal any additional significant difference between groups. Conclusion: This study is the first to date to evaluate anatomy and function of the somatosensory cortex in a well-characterized sample of euthymic bipolar disorder females. Anatomical and functional changes in the somatosensory cortex in this population might contribute to the pathophysiology of bipolar disorder.

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Reduced Grey Matter Volume in Frontal and Temporal Areas in Depression: A Voxel Based Morphometry Study

10.20944/preprints201902.0078.v1 ◽

2019 ◽

Cited By ~ 1

Author(s):

Sevdalina Kandilarova ◽

Drozdstoy Stoyanov ◽

Nickolay Sirakov ◽

Michael Maes ◽

Karsten Specht

Keyword(s):

Bipolar Disorder ◽

Major Depression ◽

Mood Disorders ◽

Grey Matter ◽

Inferior Frontal Gyrus ◽

Anterior Cingulate ◽

Middle Temporal Gyrus ◽

Grey Matter Volume ◽

Healthy Controls ◽

Voxel Based Morphometry

Objective: The aim of the current study was to examine whether and to what extent mood disorders, comprising major depression and bipolar disorder, are accompanied by structural changes in the brain as measured using voxel-based morphometry (VBM). Methods: We have performed a VBM study using a 3Т MRI system (GE Discovery 750w) in patients with mood disorders (n=50), namely 39 with major depression and 11 with bipolar disorder, compared to 42 age, sex and education matched healthy controls. Results: Our results show that depression was associated with significant decreases in grey matter (GM) volume restricted to regions located in medial frontal and anterior cingulate cortex on the left side and middle frontal gyrus, medial orbital gyrus, inferior frontal gyrus (triangular and orbital parts), and middle temporal gyrus (extending to the superior temporal gyrus) on the right side. When the patient group was separated into bipolar disorder and major depression the reductions remained significant only for the patients with major depressive disorder. Conclusions: Using VBM the present study was able to replicate decreases in GM volume restricted to frontal and temporal regions in patients with mood disorders mainly major depression, as compared with healthy controls. 

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Reduced grey matter volume in frontal and temporal areas in depression: contributions from voxel-based morphometry study

Acta Neuropsychiatrica ◽

10.1017/neu.2019.20 ◽

2019 ◽

Vol 31 (05) ◽

pp. 252-257 ◽

Cited By ~ 14

Author(s):

Sevdalina Kandilarova ◽

Drozdstoy Stoyanov ◽

Nickolay Sirakov ◽

Michael Maes ◽

Karsten Specht

Keyword(s):

Bipolar Disorder ◽

Major Depression ◽

Mood Disorders ◽

Grey Matter ◽

Inferior Frontal Gyrus ◽

Anterior Cingulate ◽

Middle Temporal Gyrus ◽

Grey Matter Volume ◽

Healthy Controls ◽

Voxel Based Morphometry

AbstractObjective:The aim of the current study was to examine whether and to what extent mood disorders, comprising major depression and bipolar disorder, are accompanied by structural changes in the brain as measured using voxel-based morphometry (VBM).Methods:We performed a VBM study using a 3Т MRI system (GE Discovery 750w) in patients with mood disorders (n=50), namely, 39 with major depression and 11 with bipolar disorder compared to 42 age-, sex- and education-matched healthy controls.Results:Our results show that depression was associated with significant decreases in grey matter (GM) volume of the regions located within the medial frontal and anterior cingulate cortex on the left side and middle frontal gyrus, medial orbital gyrus, inferior frontal gyrus (triangular and orbital parts) and middle temporal gyrus (extending to the superior temporal gyrus) on the right side. When the patient group was separated into bipolar disorder and major depression, the reductions remained significant only for patients with major depressive disorder.Conclusions:Using VBM the present study was able to replicate decreases in GM volume restricted to frontal and temporal regions in patients with mood disorders, mainly major depression, compared with healthy controls.

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IC-104-01: Regional distribution of grey matter changes in Abeta (AN1792) immunized patients with AD: A voxel-based morphometry analysis

Alzheimer s & Dementia ◽

10.1016/j.jalz.2006.05.2202 ◽

2006 ◽

Vol 2 ◽

pp. S654-S654

Author(s):

Rachael I. Scahill ◽

Gerard R. Ridgway ◽

Ronald S. Black ◽

Michael Grundman ◽

Derek L. Hill ◽

...

Keyword(s):

Grey Matter ◽

Regional Distribution ◽

Voxel Based Morphometry ◽

Morphometry Analysis

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Multi-method brain imaging reveals impaired representations as well as altered connectivity in adults with dyscalculia

10.1101/162115 ◽

2017 ◽

Author(s):

Jessica Bulthé ◽

Jellina Prinsen ◽

Jolijn Vanderauwera ◽

Stefanie Duyck ◽

Nicky Daniels ◽

...

Keyword(s):

Brain Imaging ◽

Grey Matter ◽

Multivariate Analyses ◽

Neurodevelopmental Disorder ◽

Structural Connectivity ◽

Brain Regions ◽

Grey Matter Volume ◽

Voxel Based Morphometry ◽

Imaging Approach ◽

Morphometry Analysis

SummaryTwo hypotheses have been proposed about the etiology of neurodevelopmental disorders: representation impairments versus disrupted access to representations. We implemented a multi-method brain imaging approach to directly compare the representation vs. access hypotheses in dyscalculia, a highly prevalent but understudied neurodevelopmental disorder in learning to calculate. We combined several magnetic resonance imaging methods and analyses, including multivariate analyses, functional and structural connectivity, and voxel-based morphometry analysis, in a sample of 24 adults with dyscalculia and 24 carefully matched controls. Results showed a clear deficit in the non-symbolic magnitude representations in parietal, temporal, and frontal regions in dyscalculia. We also observed hyper-connectivity in visual brain regions and increased grey matter volume in the default mode network in adults with dyscalculia. Hence, dyscalculia is related to a combination of diverse neural markers which are altogether distributed across a substantial portion of cerebral cortex, supporting a multifactorial model of this neurodevelopmental disorder.

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Structural and metabolic cerebral alterations between elderly bipolar disorder and behavioural variant frontotemporal dementia: A combined MRI-PET study

Australian & New Zealand Journal of Psychiatry ◽

10.1177/0004867418815976 ◽

2018 ◽

Vol 53 (5) ◽

pp. 413-423 ◽

Cited By ~ 3

Author(s):

Giuseppe Delvecchio ◽

Gian Mario Mandolini ◽

Andrea Arighi ◽

Cecilia Prunas ◽

Carlo Massimo Mauri ◽

...

Keyword(s):

Bipolar Disorder ◽

Prefrontal Cortex ◽

Frontotemporal Dementia ◽

Grey Matter ◽

Temporal Cortex ◽

Positron Emission ◽

Dorsolateral Prefrontal ◽

Magnetic Resonance Imaging Mri ◽

Subcortical Regions ◽

First Time

Background: Elderly bipolar disorder (BD) and behavioural variant of frontotemporal dementia (bvFTD) may exhibit similar symptoms and both disorders are characterized by selective abnormalities in cortical and subcortical regions that are associated with cognitive and emotional impairments. We aimed to investigate common and distinct neural substrates of BD and bvFTD by coupling, for the first time, magnetic resonance imaging (MRI) and positron emission tomography (PET) techniques. Methods: 3-Tesla MRI and 18 fluorodeoxyglucose–PET scans were acquired for 16 elderly BD patients, 23 bvFTD patients with mild cognitive impairments and 68 healthy controls (48 for PET and 20 for MRI analyses). Results: BD and bvFTD patients exhibit a different localization of grey matter reductions in the lateral prefrontal cortex, with the first group showing grey matter decrease in the ventrolateral prefrontal cortex and the latter group showing grey matter reductions in the dorsolateral prefrontal cortex as well as unique grey matter and metabolic alterations within the orbitofrontal cortex. The bvFTD group also displayed unique volumetric shrinkage in regions within the temporo-parietal network together with greater metabolic impairments within the temporal cortex and more extensive volumetric and metabolic abnormalities within the limbic lobe. Finally, while the BD group showed greater grey matter volumes in caudate nucleus, bvFTD subjects displayed lower metabolism. Conclusion: This MRI-PET study explored, for the first time to the best of our knowledge, structural and functional abnormalities in bvFTD and elderly BD patients, with the final aim of identifying the specific biological signature of these disorders, which might have important implications not only in prevention but also in differential diagnosis and treatment.

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Combined analysis of grey matter voxel-based morphometry and white matter tract-based spatial statistics in late-life bipolar disorder

Journal of Psychiatry and Neuroscience ◽

10.1503/jpn.100140 ◽

2011 ◽

Vol 36 (6) ◽

pp. 391-401 ◽

Cited By ~ 78

Author(s):

Sven Haller

Keyword(s):

Bipolar Disorder ◽

White Matter ◽

Spatial Statistics ◽

Grey Matter ◽

Late Life ◽

White Matter Tract ◽

Voxel Based Morphometry ◽

Combined Analysis ◽

Tract Based Spatial Statistics

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Executive function and grey matter atrophy in healthy aging: A voxel-based morphometry analysis

Frontiers in Human Neuroscience ◽

10.3389/conf.fnhum.2014.214.00083 ◽

2014 ◽

Vol 8 ◽

Author(s):

Manard Marine ◽

François Sarah ◽

Salmon Eric ◽

Collette Fabienne ◽

Bahri Mohamed Ali

Keyword(s):

Executive Function ◽

Healthy Aging ◽

Grey Matter ◽

Voxel Based Morphometry ◽

Morphometry Analysis ◽

Grey Matter Atrophy

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Voxel-Based Morphometry Analysis of Gray Matter on Quran Memorizers

IIUM Medical Journal Malaysia ◽

10.31436/imjm.v16i1.1191 ◽

2017 ◽

Vol 16 (1) ◽

Author(s):

Iqbal Jamaludin ◽

Mohd Zulfaezal Che Azemin ◽

Abdul Halim Sapuan ◽

Radhiana Hassan

Keyword(s):

Gray Matter ◽

Brain Structure ◽

Structural Changes ◽

Gray Matter Volume ◽

Brodmann Area ◽

Voxel Based Morphometry ◽

Significant Difference ◽

Morphometry Analysis ◽

Current Sample ◽

The Brain

Introduction: The brain is the most complex organ in the human body. Robust and vigorous daily activities may cause changes to the brain structure. Huffaz, individuals who memorise the Quran undergo intensive memorization training which may lead to structural changes in specific regions of the brain. Materials and method: This study looked at possible change that occurred on gray matter by characterising the textual memorization of brain structure using voxel-based morphometry (VBM). It involves voxel-by-voxel comparison of gray matter intensity of the MRI images. Forty-seven subjects (23 huffaz, 24 non-huffaz) aged between 21-25 years were voluntarily recruited. Subjects were scanned by 3 Tesla MRI system. Images were then re-aligned according to standardised Montreal Neurological Institute (MNI) coordinates. The MRIs were then segmented into gray matter, white matter and cerebrospinal fluid. Independent sample t-test was performed between the two groups. Results: No significant difference was found between the brain region of the huffaz and non-huffaz with appropriate corrections for family-wise error (FWE) at a threshold of p = 0.05. However, with a more lenient criteria (p = 0.001, uncorrected, cluster size = 50 mm3 ), we found that gray matter volume in Brodmann Area 6 and Brodmann Area 7 of the huffaz were significantly higher than the non-huffaz group. Conclusion: VBM is not sensitive enough to detect complex anatomical differences between huffaz and non-huffaz with the current sample size. Future study to explore possible image processing tools that can measure subtle structural change in human brain is warranted.

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