Striatal Functional Hypoconnectivity in Schizophrenia Negative Symptoms: Longitudinal Findings

Poster No:

542 

Submission Type:

Abstract Submission 

Authors:

Tal Geffen1, Samyogita Hardikar2, Jonathan Smallwood3, Mariia Kaliuzhna4, Fabien Carruzzo4, Teresa Katthagen1, Stefan Kaiser5, Florian Schlagenhauf1,6

Institutions:

1Charité – Universitätsmedizin Berlin, Department of Psychiatry and Psychotherapy, Berlin, Germany, 2Max Planck Institute for Human Cognitive and Brain Sciences, Department of Neurology,, Leipzig, Germany, 3Department of Psychology, Queen’s University, Ontario, Canada, 4University of Geneva, Clinical and Experimental Psychopathology Laboratory, Faculty of Medicine, Geneva, Switzerland, 5Division of Adult Psychiatry, Department of Psychiatry, Geneva University Hospitals, Basel, Basel, 6Bernstein Center for Computational Neuroscience, Berlin, Germany

First Author:

Tal Geffen  
Charité – Universitätsmedizin Berlin, Department of Psychiatry and Psychotherapy
Berlin, Germany

Co-Author(s):

Samyogita Hardikar  
Max Planck Institute for Human Cognitive and Brain Sciences, Department of Neurology,
Leipzig, Germany
Jonathan Smallwood  
Department of Psychology, Queen’s University
Ontario, Canada
Mariia Kaliuzhna  
University of Geneva, Clinical and Experimental Psychopathology Laboratory, Faculty of Medicine
Geneva, Switzerland
Fabien Carruzzo  
University of Geneva, Clinical and Experimental Psychopathology Laboratory, Faculty of Medicine
Geneva, Switzerland
Teresa Katthagen  
Charité – Universitätsmedizin Berlin, Department of Psychiatry and Psychotherapy
Berlin, Germany
Stefan Kaiser  
Division of Adult Psychiatry, Department of Psychiatry, Geneva University Hospitals
Basel, Basel
Florian Schlagenhauf  
Charité – Universitätsmedizin Berlin, Department of Psychiatry and Psychotherapy|Bernstein Center for Computational Neuroscience
Berlin, Germany|Berlin, Germany

Introduction:

Negative symptoms like apathy and diminished expression are persistent challenges in schizophrenia (SZ), with limited treatment options and significant impacts on daily life [1]. Research in this area has been limited, and functional connectivity findings are heterogeneous. SZ is linked to striatal abnormalities, especially in reward and motivation processes [2]. Here we investigate whole-brain connectivity of striatal subregions in schizophrenia patients (SZP) in a longitudinal rsfMRI study across two centers with the aim of discovering striatal connectivity aberrations as potential biomarkers of negative symptoms in SZP.

Methods:

Participants in the longitudinal study were assessed at baseline (T1) and at three months (T2) with 9.8 minutes rsfMRI, and at nine months (T3) for clinical follow-up, only for SZ patients (SZP). The study was conducted in Berlin and Geneva. Assessments included the Brief Negative Symptom Scale (BNSS; 3) and the Brief Assessment of Cognition in Schizophrenia (BACS; 4). We investigated seed-to-whole brain rsfMRI connectivity using the functional division of the striatum into associative (STR_Asoc: cognition), limbic (STR_Limb: motivation), and sensorimotor (STR_Sens: locomotion) regions [5] via CONN toolbox v.19.c [6]. First (A), we assessed group differences between SZP and controls for all six bilateral striatal seeds. Associations with cognition/negative symptoms were tested with Pearson correlation clusters with significant group differences. Furthermore (B), within the SPZ group, separate group-level GLMs were used with the three negative symptoms sub-scales as independent variables to identify regions relevant for symptoms outside areas displaying group differences. Lastly (C), within SZP we used a GLM to predict negative symptoms at T3 with striatal connectivity measures from T1. The re-test stability of connectivity measures after three months (T2) was assessed using intraclass correlation ICC(2,1) for clusters showing group differences (A) and clusters associated with negative symptoms in SZP (B). FWE correction was used at the cluster and voxel level, and Bonferroni correction for multiple comparisons for the number of seed regions.

Results:

SZP with severe psychotic symptoms (PANSS positive > 4) were excluded; all SZP had stable symptoms. 143 participants (77 SZP/66 age, sex, and parental education matched healthy controls, HC) completed rsfMRI. At T2, 111 participants (56 SZP/55 HC) were involved, and 60 SZP completed clinical measures at T3. At T1, 11 clusters showed hypoconnectivity in SPZ compared to HC. Connectivity measures from four of these clusters showed above moderate re-test stability (ICC(2,1)>0.3) over three months, indicating stable hypoconnectivity of STR_Asoc and STR_Sens with frontal, parietal, and cerebellar areas (Fig.1). Notably, hypoconnectivity between bilateral STR_Asoc and the right Superior Frontal Gyrus (SFG_r) [for both seeds: T(139) ≤-5.86, pFWE*6<0.001; ICC(2,1)≥0.44, n=111] correlated positively with cognition in SZP [r(73)=0.26, p=0.03]. Analysis B revealed hypoconnectivity between STR_Sens_r and the right Superior Parietal Lobule (SPL_r) in SZP, associated with stronger BNSS diminished expression severity [T(74)=-5.13, pFWE*18= 0.023; ICC(2,1)=0.32, n=56]. Analysis C showed that connectivity between STR_Sens_r and SPL_r at T1 could predict stronger BNSS diminished expression severity nine months later [T(57)= -3.7, p<0.001] (Fig.2).
Supporting Image: fig1.png
   ·Fig.1
Supporting Image: Fig2.PNG
   ·Fig.2
 

Conclusions:

Our study aimed to identify robust striatal connectivity aberrations linked to negative symptoms. We found that hypoconnectivity between STR_Sens_r and SPL_r in SZP, related to diminished expression at T1, was stable from T1 to T2 and could predict symptoms nine months later across two centers. This suggests that such a connectivity pattern is worth further investigation as a potential biomarker. Additionally, the association of cognitive and symptom measures with the relevant functional striatal sub-parcels strengthens the validity of our findings.

Disorders of the Nervous System:

Psychiatric (eg. Depression, Anxiety, Schizophrenia) 1

Emotion, Motivation and Social Neuroscience:

Emotion and Motivation Other

Modeling and Analysis Methods:

Connectivity (eg. functional, effective, structural)
fMRI Connectivity and Network Modeling
Task-Independent and Resting-State Analysis 2

Keywords:

Cognition
Computational Neuroscience
FUNCTIONAL MRI
Psychiatric
Schizophrenia
Other - Striatum

1|2Indicates the priority used for review

Provide references using author date format

1. Kirkpatrick, B. (2014). 'Developing concepts in negative symptoms: primary vs secondary and apathy vs expression', The Journal of Clinical Psychiatry, vol. 75, Suppl 1, pp. 3-7.

2. Katthagen, T., Kaminski, J., Heinz, A., Buchert, R., & Schlagenhauf, F. (2020). 'Striatal dopamine and reward prediction error signaling in unmedicated schizophrenia patients', Schizophrenia Bulletin, vol. 46, no. 6, pp. 1535-1546.

3. Strauss, G.P., Keller, W.R., Buchanan, R.W., Gold, J.M., Fischer, B.A., McMahon, R.P., Catalano, L.T., Culbreth, A.J., Carpenter, W.T., & Kirkpatrick, B. (2012b). 'Next-generation negative symptom assessment for clinical trials: validation of the Brief Negative Symptom Scale', Schizophrenia Research, vol. 142, pp. 88-92.

4. Keefe, R.S., Harvey, P.D., Goldberg, T.E., Gold, J.M., Walker, T.M., Kennel, C., & Hawkins, K. (2008). 'Norms and standardization of the Brief Assessment of Cognition in Schizophrenia (BACS)', Schizophrenia Research, vol. 102, nos. 1-3, pp. 108-115.

5. Martinez, D., Slifstein, M., Broft, A., Mawlawi, O., Hwang, D.R., Huang, Y., ... & Laruelle, M. (2003). 'Imaging human mesolimbic dopamine transmission with positron emission tomography. Part II: amphetamine-induced dopamine release in the functional subdivisions of the striatum', Journal of Cerebral Blood Flow & Metabolism, vol. 23, no. 3, pp. 285-300.

6. Whitfield-Gabrieli, S., & Nieto-Castanon, A. (2012). 'Conn: A functional connectivity toolbox for correlated and anticorrelated brain networks', Brain Connectivity. DOI: 10.1089/brain.2012.0073