Literature DB >> 22692142

Hippocampal subfields predict positive symptoms in schizophrenia: first evidence from brain morphometry.

S Kühn1, F Musso, A Mobascher, T Warbrick, G Winterer, J Gallinat.   

Abstract

Alterations of hippocampal anatomy have been reported consistently in schizophrenia. Within the present study, we used FreeSurfer to determine hippocampal subfield volumes in 21 schizophrenic patients. A negative correlation between PANSS-positive symptom score and bilateral hippocampal subfield CA2/3 as well as CA1 volume was found on high-resolution magnetic resonance images. Our observation opens the gate for advanced investigation of the commonly reported hippocampal abnormalities in schizophrenia in terms of specific subfields.

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Year:  2012        PMID: 22692142      PMCID: PMC3384220          DOI: 10.1038/tp.2012.51

Source DB:  PubMed          Journal:  Transl Psychiatry        ISSN: 2158-3188            Impact factor:   6.222


Introduction

Alterations of hippocampal anatomy have consistently been reported in schizophrenia.[1] It has been hypothesized that resulting memory problems lead to increases of illusory pattern completion and are therewith involved in the generation of psychotic symptoms due to dysfunctional association forming.[2] In particular, the so-called autoassociative learning mechanism within the subfield cornu ammonis (CA) 3 together with CA1 allows for rapid binding of events that co-occur. Postmortem studies have reported reduced size and altered dendritic arborization of CA3 pyramidal neurons, predominantly in patients with positive symptoms.[3] However, the role of hippocampal CA subfields volume for positive symptoms has not been investigated in vivo.

Methods

We studied 21 schizophrenic patients (mean age=34, 2±8.2 years; five female; number of episodes=2.5±2.0; age of onset=26.4±7.8 years; 19 medicated with atypicals) giving written informed consent with the Positive and Negative Syndrome Scale (PANSS).[4] Hippocampal subfields volume was assessed fully automatic with FreeSurfer[5] on the average of 2–4 (mean=3.4±0.9) T1-weighted magnetic resonance images (3 T Siemens Trio; MPRAGE, resolution 1 × 1 × 1 mm[3]). The computational model by van Leemput[5] incorporates a prior distribution that makes predictions about where neuroanatomical labels are expected to occur. This prior is based on a generalization of various probabilistic atlases, and is automatically learned from manual segmentations of the hippocampal formation in MRI images. A likelihood distribution then predicts how the labeled image, on which each voxel is assigned a unique neuroanatomical label, translates into an individual's MRI image. We focussed on the volume of the entire hippocampus, CA1, CA2/3, CA4/dentate gyrus, subiculum and presubiculum, disregarding fimbria and hippocampal fissure, because the later two are the smallest subfields that are considerably less reliably segmented[5]and disregarding the so-called ‘hippocampus' subsegment that contains mainly the tail of the hippocampus where subfields were not discernable.

Results

We observed a negative Pearson's correlation between PANSS-positive symptom score (M=12. 43, s.d.=4.27) and bilateral hippocampal subfield CA2/3 volume (r(21)=−0.46, P<0.05) as well as CA1 volume (r(21)=−0.44, P<0.05, Figures 1 and 2, Table 1), indicating that patients with stronger positive symptoms have smaller CA2/3 and CA1 subfields. No other subfield showed significant correlations neither with the Positive Syndrome score (P>0.26) nor with the Negative Syndrome score (M=16.05, s.d.=4.74, P>0.42). Although the results do not survive conservative Bonferroni correction for multiple testing, the fact that not only bilateral CA2/3 and CA1 but also right and left structures separately survive statistical thresholding with P<0.05 is remarkable. The subfield volumes do not correlate with chlorpromazine equivalents of neuroleptic medication (CA2/3: r(21)=0.04, P=0.86; CA1: r(21)=0.00, P=0.99).
Figure 1

Negative correlation between the positive symptom subscale of the Positive and Negative Syndrome Scale (PANSS) and bilateral hippocampal CA2/3 and CA1 subfield volume.

Figure 2

Left hippocampal subfield segmentation of two exemplary subject.

Table 1

Mean±s.d. of bilateral larger hippocampal subfield volumes (in mmł) and its correlation with Positive and Negative Syndrome Score

Hippocampal subfieldsMean (s.d., in mm3)Correlation with positive symptoms (Pearson's correlation coefficient)Correlation with negative symptoms (Pearson's correlation coefficient)
Whole hippocampus7010 (817)−0.26−0.07
CA1350 (46)−0.44*0.03
CA2/31013 (149)−0.46*−0.07
CA4, dentate gyrus563 (78)−0.20−0.08
Subiculum669 (73)−0.13−0.19
Presubiculum453 (40)−0.19−0.11

*Indicates correlations with P<0.05.

Discussion

The results are compatible with models of hippocampal CA3 processes interacting with CA1 in the generation of positive symptoms.[2] These hippocampal subfields have been suggested to act as a binding module for cortical circuits containing weakly related sensory representations. CA3 in particular has been proposed to create representations of space and time as a basis of conscious awareness.[6] A subfield dysfunction would integrate sensory representations abnormally resulting in positive symptomatology; for instance, hallucinations.[2] Furthermore, it has been suggested that the disinhibition of hippocampal regions can stimulate hyperdopaminergic states and therewith produce psychosis.[7] Our observation opens the gate for advanced investigation of the commonly reported hippocampal abnormalities in schizophrenia in terms of specific subfields. However, replication of results is needed in a larger sample of unmedicated patients with further differentiation of CA2/3 volumes. Furthermore, a limitation of the present study is the relatively low, albeit common, resolution of 1 × 1 × 1 mm[3]. Future studies should consider using a sequence with a higher spatial resolution.
  7 in total

Review 1.  Circuit-based framework for understanding neurotransmitter and risk gene interactions in schizophrenia.

Authors:  John E Lisman; Joseph T Coyle; Robert W Green; Daniel C Javitt; Francine M Benes; Stephan Heckers; Anthony A Grace
Journal:  Trends Neurosci       Date:  2008-04-07       Impact factor: 13.837

2.  The positive and negative syndrome scale (PANSS) for schizophrenia.

Authors:  S R Kay; A Fiszbein; L A Opler
Journal:  Schizophr Bull       Date:  1987       Impact factor: 9.306

Review 3.  The hippocampal formation in schizophrenia.

Authors:  Carol A Tamminga; Ana D Stan; Anthony D Wagner
Journal:  Am J Psychiatry       Date:  2010-09-01       Impact factor: 18.112

4.  Interaction of hippocampal volume and N-acetylaspartate concentration deficits in schizophrenia: a combined MRI and 1H-MRS study.

Authors:  Andreas Arthur Klär; Martina Ballmaier; Karolina Leopold; Ines Häke; Martin Schaefer; Rüdiger Brühl; Florian Schubert; Jürgen Gallinat
Journal:  Neuroimage       Date:  2010-06-09       Impact factor: 6.556

5.  Ultrastructural alterations in hippocampal mossy fiber synapses in schizophrenia: a postmortem morphometric study.

Authors:  Natalya S Kolomeets; Diana D Orlovskaya; Valentina I Rachmanova; Natalya A Uranova
Journal:  Synapse       Date:  2005-07       Impact factor: 2.562

6.  Automated segmentation of hippocampal subfields from ultra-high resolution in vivo MRI.

Authors:  Koen Van Leemput; Akram Bakkour; Thomas Benner; Graham Wiggins; Lawrence L Wald; Jean Augustinack; Bradford C Dickerson; Polina Golland; Bruce Fischl
Journal:  Hippocampus       Date:  2009-06       Impact factor: 3.899

Review 7.  Contribution of hippocampal region CA3 to consciousness and schizophrenic hallucinations.

Authors:  Ralf-Peter Behrendt
Journal:  Neurosci Biobehav Rev       Date:  2009-12-23       Impact factor: 8.989

  7 in total
  39 in total

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Authors:  S Kühn; T Gleich; R C Lorenz; U Lindenberger; J Gallinat
Journal:  Mol Psychiatry       Date:  2013-10-29       Impact factor: 15.992

2.  Hippocampal Pruning as a New Theory of Schizophrenia Etiopathogenesis.

Authors:  Enrico Cocchi; Antonio Drago; Alessandro Serretti
Journal:  Mol Neurobiol       Date:  2015-04-24       Impact factor: 5.590

3.  Longitudinal reproducibility of automatically segmented hippocampal subfields: A multisite European 3T study on healthy elderly.

Authors:  Moira Marizzoni; Luigi Antelmi; Beatriz Bosch; David Bartrés-Faz; Bernhard W Müller; Jens Wiltfang; Ute Fiedler; Luca Roccatagliata; Agnese Picco; Flavio Nobili; Olivier Blin; Stephanie Bombois; Renaud Lopes; Julien Sein; Jean-Philippe Ranjeva; Mira Didic; Hélène Gros-Dagnac; Pierre Payoux; Giada Zoccatelli; Franco Alessandrini; Alberto Beltramello; Núria Bargalló; Antonio Ferretti; Massimo Caulo; Marco Aiello; Carlo Cavaliere; Andrea Soricelli; Nicola Salvadori; Lucilla Parnetti; Roberto Tarducci; Piero Floridi; Magda Tsolaki; Manos Constantinidis; Antonios Drevelegas; Paolo Maria Rossini; Camillo Marra; Karl-Titus Hoffmann; Tilman Hensch; Peter Schönknecht; Joost P Kuijer; Pieter Jelle Visser; Frederik Barkhof; Régis Bordet; Giovanni B Frisoni; Jorge Jovicich
Journal:  Hum Brain Mapp       Date:  2015-06-03       Impact factor: 5.038

4.  Gray matter heritability in family-based and population-based studies using voxel-based morphometry.

Authors:  Sven J van der Lee; Gennady V Roshchupkin; Hieab H H Adams; Helena Schmidt; Edith Hofer; Yasaman Saba; Reinhold Schmidt; Albert Hofman; Najaf Amin; Cornelia M van Duijn; Meike W Vernooij; M Arfan Ikram; Wiro J Niessen
Journal:  Hum Brain Mapp       Date:  2017-02-01       Impact factor: 5.038

Review 5.  [Neurobiology of schizophrenia: new findings from the structure to the molecules].

Authors:  A Schmitt; B Malchow; D Keeser; P Falkai; A Hasan
Journal:  Nervenarzt       Date:  2015-03       Impact factor: 1.214

6.  Imaging patients with psychosis and a mouse model establishes a spreading pattern of hippocampal dysfunction and implicates glutamate as a driver.

Authors:  Scott A Schobel; Nashid H Chaudhury; Usman A Khan; Beatriz Paniagua; Martin A Styner; Iris Asllani; Benjamin P Inbar; Cheryl M Corcoran; Jeffrey A Lieberman; Holly Moore; Scott A Small
Journal:  Neuron       Date:  2013-04-10       Impact factor: 17.173

7.  The multimodal connectivity of the hippocampal complex in auditory and visual hallucinations.

Authors:  A Amad; A Cachia; P Gorwood; D Pins; C Delmaire; B Rolland; M Mondino; P Thomas; R Jardri
Journal:  Mol Psychiatry       Date:  2013-01-15       Impact factor: 15.992

8.  Physical activity level and medial temporal health in youth at ultra high-risk for psychosis.

Authors:  Vijay A Mittal; Tina Gupta; Joseph M Orr; Andrea Pelletier-Baldelli; Derek J Dean; Jessica R Lunsford-Avery; Ashley K Smith; Briana L Robustelli; Daniel R Leopold; Zachary B Millman
Journal:  J Abnorm Psychol       Date:  2013-11

9.  Anterior vs Posterior Hippocampal Subfields in an Extended Psychosis Phenotype of Multidimensional Schizotypy in a Nonclinical Sample.

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