An MRI study of amygdala in schizophrenia and psychotic bipolar disorder

Mahon, Pamela B.; Eldridge, Haley; Crocker, Britni; Notes, Lisa; Gindes, Holly; Postell, Elizabeth; King, Stacey; Potash, James B.; Ratnanather, J. Tilak; Barta, Patrick E.

doi:10.1016/j.schres.2012.04.005

Cited by 30 publications

(20 citation statements)

References 36 publications

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“…HC > SZ > BD in amygdala and right hippocampusRadonic et al 120 201115/15/15/15ChronicMedicatedHippocampusROI (manual tracing)2SZ = SAD < HC = BD in hippocampal volumede Castro-Manglano et al 51 201120/10/0/14PFEMedicatedWhole brainVBM1.5HC > BD in frontal lobe, thalamus, superior temporal gyrus, cerebellum; HC > SZ frontal lobe, thalamus, hippocampus; BD > SZ hippocampusCui et al 47 201136/24/0/24PAcutely ill FE and chronicMedicatedWhole brainVBM3HC > SZ in superior temporal and inferior parietal lobe, HC < SZ in putamen; HC > BD in superior temporal, inferior parietal lobe, and caudate; HC < BD in putamenIvleva et al 49 201210/19/16/17PChronicMedicatedWhole brainVBM, Free Surfer3HC > SZ and SAD in frontal, temporal and insular cortices, HC > SZ across neocortex, thalamus, and basal ganglia, BD = HC in cortical and subcortical gray matter volumeYuksel et al 32 201243/37/21/28PChronicMedicatedWhole brainVBM3HC > SZ in prefrontal and temporal cortices, HC < SZ in cerebellum, BD > SZ in subgenual cortexWatson et al 40 201259/25/0/24PFEMedicatedWhole brainVBM1.5HC > SZ in hippocampus, thalamus, striatum and cerebellum. HC > BD in precuneus; BD > HC in cerebellumMahon et al 44 201227/31/0/36PChronicMedicatedAmygdalaFree Surfer1.5Amygdala volume SZ < BD = HCIvleva et al 29 2013200/146/90/115PChronicMedicatedWhole brainVBM3HC > SZ and SAD in frontal, temporal and insular cortices, thalamus, basal ganglia, and cerebellum. HC > BD frontal, insular, temporal and parietal cortexRatnanather et al 121 201327/31/0/36ChronicMedicatedSTG and planum temporale<...>…”

Section: Resultsmentioning

confidence: 99%

Brain structure, function, and neurochemistry in schizophrenia and bipolar disorder—a systematic review of the magnetic resonance neuroimaging literature

et al. 2017

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Since Emil Kraepelin's conceptualization of endogenous psychoses as dementia praecox and manic depression, the separation between primary psychotic disorders and primary affective disorders has been much debated. We conducted a systematic review of case-control studies contrasting magnetic resonance imaging studies in schizophrenia and bipolar disorder. A literature search in PubMed of studies published between January 2005 and December 2016 was conducted, and 50 structural, 29 functional, 7 magnetic resonance spectroscopy, and 8 combined imaging and genetic studies were deemed eligible for systematic review. Structural neuroimaging studies suggest white matter integrity deficits that are consistent across the illnesses, while gray matter reductions appear more widespread in schizophrenia compared to bipolar disorder. Spectroscopy studies in cortical gray matter report evidence of decreased neuronal integrity in both disorders. Functional neuroimaging studies typically report similar functional architecture of brain networks in healthy controls and patients across the psychosis spectrum, but find differential extent of alterations in task related activation and resting state connectivity between illnesses. The very limited imaging-genetic literature suggests a relationship between psychosis risk genes and brain structure, and possible gene by diagnosis interaction effects on functional imaging markers. While the existing literature suggests some shared and some distinct neural markers in schizophrenia and bipolar disorder, it will be imperative to conduct large, well designed, multi-modal neuroimaging studies in medication-naïve first episode patients that will be followed longitudinally over the course of their illness in an effort to advance our understanding of disease mechanisms.

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Section: Resultsmentioning

confidence: 99%

Brain structure, function, and neurochemistry in schizophrenia and bipolar disorder—a systematic review of the magnetic resonance neuroimaging literature

et al. 2017

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“…This sample has been described in detail previously (Mahon et al, 2012; Ratnanather et al, 2013). All subjects provided informed consent prior to participating in the study.…”

Section: Methodsmentioning

confidence: 99%

“…We previously reported smaller amygdala volume in SZ compared to psychotic BP (Mahon et al, 2012). Here, we extend that study by utilizing morphometry to examine neuroanatomic features of amygdala in the same sample.…”

Section: Introductionmentioning

confidence: 90%

“…One potentially informative distinction can be made between subtypes of BP presenting with and without psychosis (Potash, 2006) and it has been suggested that neuroanatomical features of psychotic BP, rather than BP without psychosis, may be more similar to what is seen in SZ (Strasser et al, 2005). However, volumes of amygdala have been reported to be smaller in SZ than in psychotic BP (Frazier et al, 2008; Mahon et al, 2012; Velakoulis et al, 2006). …”

Section: Introductionmentioning

confidence: 98%

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Morphometry of the amygdala in schizophrenia and psychotic bipolar disorder

Mahon

Lee

Trinh

et al. 2015

Schizophrenia Research

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Volumetric studies suggest smaller amygdalae in subjects with schizophrenia (SZ) than with bipolar disorder (BP). We use morphometry to identify subregions of amygdala differentially affected in SZ and psychotic BP. Based on template centered population analysis, the shape of the amygdala in psychotic BP differs from SZ (pleft=0.044, pright=0.042). Using a high-field 7T atlas, the bilateral basolateral, basomedial and centromedial subregions and the right lateral subregion were significantly atrophied in SZ compared to psychotic BP (p<0.02). These results suggest that change in shape of amygdala may represent a morphologic feature distinguishing SZ from psychotic BP.

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“…In addition, patients with schizophrenia exhibit impairments in both basic sensory processing and higher cognitive functions, such as language, reasoning and planning [4]. Nowadays, there are some brain image systems helping to diagnose of schizophrenia, like structural MRI [5], diffusion MRI [6], functional MRI [7], PET [8], MEG [9] and SPECT [10] etc. However, the etiology and pathophysiology of schizophrenia remain unknown [2], while indeed, schizophrenia has come to be regarded more and more as a disease of disconnectivity [11].…”

Section: Introductionmentioning

confidence: 99%

A Review: Detecting Alterations of Brain Connectivity in Schizophrenia based on Structural MRI

Li¹

2014

J Psychiatry

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Schizophrenia is a common psychiatric disease with brain connectivity changed. Nowadays brain network has become an effective tool to detect the abnormal brain connectivity in patients. Compared with studies focused on functional and white matter connectivity, the research of grey matter connectivity is relatively less and should be paid more attention. The primary approach of grey matter connectivity analysis is based on brain network constructed from structural MRI (sMRI). There are several morphometric features such as cortical thickness, volume, and curvature etc. Which could be used for sMRI brain network construction? This review briefly introduced sMRI brain network construction and analysis, presenting the most frequently used morphometric features with their effectiveness in schizophrenia, highlighting the application of sMRI brain network in schizophrenia, and finally estimated its potential value.

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An MRI study of amygdala in schizophrenia and psychotic bipolar disorder

Cited by 30 publications

References 36 publications

Brain structure, function, and neurochemistry in schizophrenia and bipolar disorder—a systematic review of the magnetic resonance neuroimaging literature

Brain structure, function, and neurochemistry in schizophrenia and bipolar disorder—a systematic review of the magnetic resonance neuroimaging literature

Morphometry of the amygdala in schizophrenia and psychotic bipolar disorder

A Review: Detecting Alterations of Brain Connectivity in Schizophrenia based on Structural MRI

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