Skip to main content

Main menu

  • HOME
  • CONTENT
    • Early Release
    • Featured
    • Current Issue
    • Issue Archive
    • Blog
    • Collections
    • Podcast
  • TOPICS
    • Cognition and Behavior
    • Development
    • Disorders of the Nervous System
    • History, Teaching and Public Awareness
    • Integrative Systems
    • Neuronal Excitability
    • Novel Tools and Methods
    • Sensory and Motor Systems
  • ALERTS
  • FOR AUTHORS
  • ABOUT
    • Overview
    • Editorial Board
    • For the Media
    • Privacy Policy
    • Contact Us
    • Feedback
  • SUBMIT

User menu

Search

  • Advanced search
eNeuro
eNeuro

Advanced Search

 

  • HOME
  • CONTENT
    • Early Release
    • Featured
    • Current Issue
    • Issue Archive
    • Blog
    • Collections
    • Podcast
  • TOPICS
    • Cognition and Behavior
    • Development
    • Disorders of the Nervous System
    • History, Teaching and Public Awareness
    • Integrative Systems
    • Neuronal Excitability
    • Novel Tools and Methods
    • Sensory and Motor Systems
  • ALERTS
  • FOR AUTHORS
  • ABOUT
    • Overview
    • Editorial Board
    • For the Media
    • Privacy Policy
    • Contact Us
    • Feedback
  • SUBMIT
PreviousNext
Research ArticleResearch Article: New Research, Disorders of the Nervous System

Mild Deficits in Fear Learning: Evidence from Humans and Mice with Cerebellar Cortical Degeneration

Giorgi Batsikadze, Johanna Pakusch, Michael Klein, Thomas Michael Ernst, Andreas Thieme, Seyed Ali Nicksirat, Katharina Marie Steiner, Enzo Nio, Erhan Genc, Stefan Maderwald, Cornelius Deuschl, Christian Josef Merz, Harald H. Quick, Melanie D. Mark and Dagmar Timmann
eNeuro 4 January 2024, 11 (2) ENEURO.0365-23.2023; https://doi.org/10.1523/ENEURO.0365-23.2023
Giorgi Batsikadze
1Department of Neurology and Center for Translational Neuro- and Behavioral Sciences (C-TNBS), Essen University Hospital, University of Duisburg-Essen, 45147 Essen, Germany
2Erwin L. Hahn Institute for Magnetic Resonance Imaging, University of Duisburg-Essen, 45141 Essen, Germany
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Giorgi Batsikadze
Johanna Pakusch
3Behavioral Neuroscience, Ruhr University Bochum, 44801 Bochum, Germany
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Johanna Pakusch
Michael Klein
1Department of Neurology and Center for Translational Neuro- and Behavioral Sciences (C-TNBS), Essen University Hospital, University of Duisburg-Essen, 45147 Essen, Germany
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Thomas Michael Ernst
1Department of Neurology and Center for Translational Neuro- and Behavioral Sciences (C-TNBS), Essen University Hospital, University of Duisburg-Essen, 45147 Essen, Germany
2Erwin L. Hahn Institute for Magnetic Resonance Imaging, University of Duisburg-Essen, 45141 Essen, Germany
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Andreas Thieme
1Department of Neurology and Center for Translational Neuro- and Behavioral Sciences (C-TNBS), Essen University Hospital, University of Duisburg-Essen, 45147 Essen, Germany
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Seyed Ali Nicksirat
1Department of Neurology and Center for Translational Neuro- and Behavioral Sciences (C-TNBS), Essen University Hospital, University of Duisburg-Essen, 45147 Essen, Germany
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Katharina Marie Steiner
1Department of Neurology and Center for Translational Neuro- and Behavioral Sciences (C-TNBS), Essen University Hospital, University of Duisburg-Essen, 45147 Essen, Germany
4LVR-Hospital Essen, Department of Psychiatry and Psychotherapy, Medical Faculty, University of Duisburg-Essen, 45147 Essen, Germany
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Enzo Nio
1Department of Neurology and Center for Translational Neuro- and Behavioral Sciences (C-TNBS), Essen University Hospital, University of Duisburg-Essen, 45147 Essen, Germany
2Erwin L. Hahn Institute for Magnetic Resonance Imaging, University of Duisburg-Essen, 45141 Essen, Germany
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Erhan Genc
5Department of Psychology and Neurosciences, Leibniz Research Centre for Working Environment and Human Factors, Technical University of Dortmund (IfADo), 44139 Dortmund, Germany
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Stefan Maderwald
2Erwin L. Hahn Institute for Magnetic Resonance Imaging, University of Duisburg-Essen, 45141 Essen, Germany
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Cornelius Deuschl
6Institute of Diagnostic and Interventional Radiology and Neuroradiology and C-TNBS, Essen University Hospital, University of Duisburg-Essen, 45147 Essen, Germany
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Cornelius Deuschl
Christian Josef Merz
7Department of Cognitive Psychology, Institute of Cognitive Neuroscience, Ruhr University Bochum, 44801 Bochum, Germany
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Christian Josef Merz
Harald H. Quick
2Erwin L. Hahn Institute for Magnetic Resonance Imaging, University of Duisburg-Essen, 45141 Essen, Germany
8High-Field and Hybrid MR Imaging, Essen University Hospital, University of Duisburg-Essen, 45147 Essen, Germany
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Melanie D. Mark
3Behavioral Neuroscience, Ruhr University Bochum, 44801 Bochum, Germany
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Melanie D. Mark
Dagmar Timmann
1Department of Neurology and Center for Translational Neuro- and Behavioral Sciences (C-TNBS), Essen University Hospital, University of Duisburg-Essen, 45147 Essen, Germany
2Erwin L. Hahn Institute for Magnetic Resonance Imaging, University of Duisburg-Essen, 45141 Essen, Germany
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • Article
  • Figures & Data
  • Info & Metrics
  • eLetters
  • PDF
Loading

Article Figures & Data

Figures

  • Tables
  • Extended Data
  • Figure 1.
    • Download figure
    • Open in new tab
    • Download powerpoint
    Figure 1.

    Experimental paradigm and event blocking scheme in the human study. Habituation and fear acquisition training were performed in the acquisition (Acq.) context. Extinction training and recall were performed in the extinction (Ext.) context. Contexts were represented by a photo of different office rooms either showing a desk (“office”) or a bookshelf (“library”). The conditioning stimuli (CSs) were represented by the same desk lamp, which emitted light in either blue, red, or yellow colors. The experimental paradigm closely followed the one described in Albayrak et al. (2023), which was based on the earlier study conducted by Milad et al. (2007).

  • Figure 2.
    • Download figure
    • Open in new tab
    • Download powerpoint
    Figure 2.

    Experimental paradigm for animal study. A, The mouse models expressed the human C terminus with 27 polyQ repeats in Purkinje cells (CT-longQ27PC), displayed in red and their corresponding CT-shortPC controls in blue which lack polyQ repeats. B, Schematic representation of the auditory fear conditioning protocol consisting of fear acquisition training, during which six tone and foot shock pairings were given, followed by three extinction training days, during which 10 tones each were presented.

  • Figure 3.
    • Download figure
    • Open in new tab
    • Download powerpoint
    Figure 3.

    Results of DASS-21 questionnaire. Median scores and interquartile range (IQR) in the patient and control groups. The DASS-21 questionnaire scores did not reveal any significant group differences (Mann–Whitney U test). Horizontal lines denote median values; whiskers range from the first to the third quartile. Normal range: depression score, 0–9; anxiety score, 0–7; stress score, 0–14; maximum possible score, 42 (Lovibond et al., 1995). Circles represent individual scores: yellow circles represent SCA6 patients; white circles, non-SCA6 patients; black circles—controls. For color-coding of individual patients based on SARA score see Extended Data Figure 3-1. *The questionnaire results were reanalyzed excluding the trembling-related item.

  • Figure 4.
    • Download figure
    • Open in new tab
    • Download powerpoint
    Figure 4.

    Results of questionnaires in cerebellar patients and controls prior acquisition, postacquisition, postextinction, and postrecall. Median ratings regarding (A) valence, (B) arousal, (C) fear, and (D) US expectancy on a Likert scale of 1 (“very pleasant”/“very calm”/“not afraid,” “US not expected,” respectively) to 9 “very unpleasant”/“very nervous”/“very afraid,” “US expected,” respectively). Horizontal lines denote median values. Whiskers range from the first to the third quartile. Blue colors, controls; red colors, cerebellar patients. Dark colors, CS+E and CS+U; light colors, CS–. Circles represent individual responses: yellow circles represent SCA6 patients; white circles, non-SCA6 patients; black circles, controls. For color-coding of individual patients based on SARA score, see Extended Data Figure 4-2. Gray background, fear acquisition training. Postacquisition training responses to CS+E and CS+U were averaged (CS+avg). Both controls and patients showed differential responses toward the CS+ and CS− postacquisition and postrecall. This difference was also present postextinction in controls, but not in patients. RTE estimates are shown in Extended Data Figure 4-1; statistical findings are summarized in Extended Data Table 4-1.

  • Figure 5.
    • Download figure
    • Open in new tab
    • Download powerpoint
    Figure 5.

    Results of SCRs in cerebellar patients and controls prior acquisition (habituation), during acquisition, extinction, and recall. A, SCR amplitudes and (B) SCR incidences. Colored bars represent group mean values for habituation, early and late blocks of fear acquisition training, extinction training, and recall. Postacquisition training responses to CS+E and CS+U were averaged (CS+avg). Error bars indicate SEM. Blue colors, controls; red colors, cerebellar patients. Dark colors, CS+E/CS+avg and CS+U; light colors, CS−. Circles represent individual responses: yellow circles represent SCA6 patients; white circles, non-SCA6 patients; black circles—controls. For color-coding of individual patients based on SARA score, see Extended Data Figure 5-3. SCR amplitudes were higher toward the CS+ compared with those toward the CS− in acquisition training and early recall in both patients and controls. In controls, SCR incidences were significantly higher toward the CS+ compared with those toward the CS, already during the early block, but in patients only during the late acquisition block. In recall, SCR incidences were higher for both CS+ trials compared with those for CS− in both groups. Notably, in patients, SCR incidences for CS+U remained significantly higher compared with those for the CS− throughout the entire phase. RTE estimates are shown in Extended Data Figure 5-1; SCR amplitudes related to the aversive US are shown in Extended Data Figures 5-2 and 5-4. Statistical findings are summarized in Extended Data Tables 5-1 (SCR amplitudes) and 5-2 (SCR incidences).

  • Figure 6.
    • Download figure
    • Open in new tab
    • Download powerpoint
    Figure 6.

    Results of voxel-based morphometry and cerebellar activation related to the presentation of the aversive US. A, gray matter voxel-based morphometry (contrast “control group > cerebellar group”). US-related cerebellar activation (contrast “US post CS+ > no-US post CS−” during fear acquisition training) in (B) healthy controls and (C) cerebellar patients collapsed over early and late fear acquisition blocks. VBM group results and cerebellar activations are calculated using TFCE and FWE correction (p < 0.05) and in SUIT space projected on a cerebellar flatmap (Diedrichsen and Zotow, 2015). VBM, voxel-based morphometry; CS, conditioned stimulus; L, left; R, right; SUIT, spatially unbiased atlas template of the cerebellum; TFCE, threshold-free cluster enhancement; FWE, family-wise error rate; US, unconditioned stimulus. Additional details for VBM analysis are provided in Extended Data Table 6-1. Results of fMRI analysis are provided in Extended Data Table 6-2. For VBM analysis of patient subgroups, see Extended Data Figure 6-1.

  • Figure 7.
    • Download figure
    • Open in new tab
    • Download powerpoint
    Figure 7.

    Cerebellar activation related to the CS+ and CS− during late fear acquisition training in healthy controls (top row), patients (middle row), and a comparison between controls and patients (bottom row). Cerebellar activations during the presentation of (A, C) CS+ (contrast “CS+ > rest”), (B, D) CS− (contrast “CS− > rest”) during late fear acquisition. E, F, In late acquisition CS− shows increased activation in comparison with early acquisition (contrast “CS−, late > early”). All contrasts are calculated using TFCE and FWE correction (p < 0.05) and presented in SUIT space projected on a cerebellar flatmap (Diedrichsen and Zotow, 2015). CS, conditioned stimulus; L, left; R, right; SUIT,  spatially unbiased atlas template of the cerebellum; TFCE, threshold-free cluster enhancement; FWE, family-wise error rate. No surviving clusters = no significant clusters ≥10 voxel (isotropic voxel size, 1.7 mm) after application of TFCE at p < 0.05 FWE corrected level. Results of fMRI analysis are provided in Extended Data Table 6-2. Group comparisons revealed significantly more cerebellar activations related to the CS− in controls compared with those in patients, while no significant group differences were found for the CS+. Note that TFCE correction takes values of neighboring voxels into account which is different to voxel-based correction. Despite the widespread activations in the control group, activations remain relatively weak and likely explain the absence of a significant group difference, despite clear differences based on (A) and (C).

  • Figure 8.
    • Download figure
    • Open in new tab
    • Download powerpoint
    Figure 8.

    Cerebellar activation related to the CS during fear acquisition training (contrast “CS+ late > early”; left column and contrast “CS− late > early”; right column) in (A, B) healthy controls and (C, D) cerebellar patients in SUIT space projected on a cerebellar flatmap (Diedrichsen and Zotow, 2015). All contrasts are calculated using TFCE and FWE correction (p < 0.05). CS, conditioned stimulus; L, left; R, right; SUIT, spatially unbiased atlas template of the cerebellum; TFCE, threshold-free cluster enhancement; FWE, family-wise error rate. No surviving clusters = no significant clusters ≥10 voxel (isotropic voxel size, 1.7 mm) after application of TFCE at p < 0.05 FWE corrected level. Results of fMRI analysis are provided in Extended Data Table 6-2. Controls exhibited significantly higher cerebellar activations related to the presentation of both CS+ and CS− during late fear acquisition training compared with early training. Patients did not show any cerebellar activations.

  • Figure 9.
    • Download figure
    • Open in new tab
    • Download powerpoint
    Figure 9.

    Cerebellar activation related to the omission of the aversive US during acquisition training (contrast “no-US post CS+ > rest”) in (A) healthy controls, (B) cerebellar patients, and (C, D) comparison between controls and patients in SUIT space projected on a cerebellar flatmap (Diedrichsen and Zotow, 2015). All contrasts are calculated using TFCE and FWE correction (p < 0.05). CS, conditioned stimulus; L, left; R, right; SUIT, spatially unbiased atlas template of the cerebellum; TFCE, threshold-free cluster enhancement; FWE, family-wise error rate; US, unconditioned stimulus. No surviving clusters = no significant clusters ≥10 voxel (isotropic voxel size, 1.7 mm) after application of TFCE at p < 0.05 FWE corrected level. Results of fMRI analysis are provided in Extended Data Table 6-2. Cerebellar activations were more prominent in patients compared with those in controls with no significant difference between groups.

  • Figure 10.
    • Download figure
    • Open in new tab
    • Download powerpoint
    Figure 10.

    Cerebellar activation related to the omission of the aversive US during early extinction training (contrasts “no-US post CS+ > rest” and “no-US post CS− > rest”) in healthy controls (top row) and cerebellar patients (bottom row) in SUIT space projected on a cerebellar flatmap (Diedrichsen and Zotow, 2015). All contrasts are calculated using TFCE and FWE correction (p < 0.05). CS, conditioned stimulus; L, left; R, right; SUIT, spatially unbiased atlas template of the cerebellum; TFCE, threshold-free cluster enhancement; FWE, family-wise error rate; US, unconditioned stimulus. No surviving clusters = no significant clusters ≥10 voxel (isotropic voxel size, 1.7 mm) after application of TFCE at p < 0.05 FWE corrected level. Results of fMRI analysis are provided in Extended Data Table 6-2. During early extinction training, controls exhibited significant no-US–related cerebellar activations in CS+ trials, whereas cerebellar patients showed significant no-US–related activations toward CS− trials.

  • Figure 11.
    • Download figure
    • Open in new tab
    • Download powerpoint
    Figure 11.

    Cerebellar activation related to the CS and omission of the aversive US during early recall (contrasts “CS+ > rest” and “no-US post early CS+ > rest”) in healthy controls (top row), cerebellar patients (middle row), and a comparison between controls and patients (bottom row) in SUIT space projected on a cerebellar flatmap (Diedrichsen and Zotow, 2015). All contrasts are calculated using TFCE and FWE correction (p < 0.05). CS, conditioned stimulus; L, left; R, right; SUIT, spatially unbiased atlas template of the cerebellum; TFCE, threshold-free cluster enhancement; FWE, family-wise error rate; US, unconditioned stimulus. No surviving clusters = no significant clusters ≥10 voxel (isotropic voxel size, 1.7 mm) after application of TFCE at p < 0.05 FWE corrected level. Results of fMRI analysis are provided in Extended Data Table 6-2. Controls exhibited significant cerebellar activations related to the CS+ presentation and significant cerebellar activations related to the omission of the US in CS+ trials. Group comparisons revealed significantly stronger activations related to the CS+ presentation in controls compared with those in patients.

  • Figure 12.
    • Download figure
    • Open in new tab
    • Download powerpoint
    Figure 12.

    Results in SCA6 mouse model (CT-longQ27PC). Deficits are demonstrated in early fear extinction training (i.e., during retrieval) in all stages of the disease. A, Pre-onset CT-shortPC (light blue) and CT-longQ27PC (light red) mice were analyzed for freezing behavior during the 30 s conditioning stimulus (CS) in fear acquisition (acq.) and extinction training (ext.). Pre-onset CT-longQ27PC mice displayed lower freezing levels during early extinction. B, Early stage CT-longQ27PC (red) mice displayed reduced freezing levels during early extinction in comparison with CT-shortPC (blue) mice. C, Freezing behavior for late stage CT-shortPC (dark blue) and CT-longQ27PC (dark red) mice during the CSs of fear acquisition and extinction training revealed no differences in freezing behavior between mouse lines. D, Baseline freezing as a sign of generalized fear revealed that CT-longQ27PC mice did not display significantly different freezing levels in comparison with CT-shortPC mice. E, Comparison of baseline (B) and retrieval (R) freezing of each group revealed that all groups display significantly higher freezing during the CS presentation concerning their previous baseline freezing. F, Freezing behavior during cue retrieval, which is defined as the percentage of freezing to the first two CS presentations during early extinction, was analyzed to show fear-related learning to the cue and revealed that CT-longQ27PC mice display lower freezing levels in comparison with CT-shortPC mice during the pre-onset and early stage of the disease. G, Percentage of mice per group displaying freezing responses below 20% (black) and above 20% (corresponding group color) during cue retrieval. A–F, Mean ± SEM with individual animals as single points. The number of animals is indicated in parentheses behind the group. Statistical findings are summarized in Extended Data Tables 12-1, 12-2, and 12-3.

Tables

  • Figures
  • Extended Data
    • View popup
    Table 1.

    Basic characteristics of cerebellar patients

    PatientDiagnosisAge (years)SexDuration (years)SARAICARS
    1SCA1458M172133
    2ADCA III55F221730
    3ADCA III25M269
    4SAOA70M152248
    5ADCA III56M192444
    6SCA658F81946
    7SAOA65M171730
    8ADCA III30F1716
    9SCA860M91523
    10SAOA67F141631
    11SAOA55F51922
    12SCA662M71728
    13ADCA III56F151219
    14SAOA66M21826
    15SCA652M15615
    16SAOA59F91228
    17SCA639F11221
    18SCA862F1245
    19SCA653FPresymptomatic13
    20SCA665M271530
    • Listed are age and disease duration at examination; SCA6, SCA8, SCA14, spinocerebellar ataxia types 6, 8, and 14; ADCA III, autosomal dominant cerebellar ataxia type III; SAOA, sporadic adult-onset ataxia of unknown etiology. Severity of ataxia was rated using the ICARS and the SARA. Total SARA and ICARS scores are given. Maximum ICARS score is 100; maximum SARA score is 40 (Trouillas et al., 1997; Schmitz-Hübsch et al., 2006).

Extended Data

  • Figures
  • Tables
  • Figure 3-1

    Results of Depression-Anxiety-Stress-Scale-21 (DASS-21) questionnaire. Median scores and interquartile range (IQR) in the patient and control groups. The DASS-21 questionnaire scores did not reveal any significant group differences (Mann-Whitney-U test). Horizontal lines denote median values, whiskers range from the first to the third quartile. Normal range: depression score: 0-9, anxiety score: 0-7, stress score: 0-14; maximum possible score: 42 (Lovibond et al., 1995). Colored circles represent individual responses of patients based on ataxia severity (Lai et al., 2019; Yang et al., 2020): green circles represent patients with mild ataxia (SARA score ≤ 10, n = 5), yellow circles = patients with moderate ataxia (SARA score > 10 and < 20, n = 12), orange circles = patients with severe ataxia (SARA score ≥ 20, n = 3), black circles = controls. Download Figure 3-1, TIF file.

  • Figure 4-1

    Relative treatment effect (RTE) estimates for A) valence, B) arousal, C) fear and D) US expectancy. Horizontal lines denote median RTEs and whiskers denote 95% confidence intervals. Blue colors = controls, red colors = cerebellar patients. Dark colors: CS+E and CS+U, light colors: CS–. Gray background = fear acquisition training. Post acquisition training responses to CS+E and CS+U were averaged (CS+avg). Download Figure 4-1, TIF file.

  • Figure 4-2

    Results of questionnaires in cerebellar patients and controls prior acquisition, post acquisition, post extinction and post recall. Median ratings regarding A) valence, B) arousal, C) fear and D) US expectancy on a Likert-scale of 1 (“very pleasant”/“very calm”/“not afraid”, “US not expected”, respectively) to 9 “very unpleasant”/“very nervous”/“very afraid”, “US expected”, respectively). Horizontal lines denote median values. Whiskers range from the first to the third quartile. Blue colors = controls, red colors = cerebellar patients. Dark colors: CS+E and CS+U, light colors: CS–. Colored circles represent individual responses of patients based on ataxia severity (Lai et al., 2019; Yang et al., 2020): green circles represent patients with mild ataxia (SARA score ≤ 10, n = 5), yellow circles = patients with moderate ataxia (SARA score > 10 and < 20, n = 12), orange circles = patients with severe ataxia (SARA score ≥ 20, n = 3), black circles = controls. Download Figure 4-2, TIF file.

  • Table 4-1

    Results of the non-parametric ANOVA-type statistics for repeated measures for valence, arousal, fear and US expectancy ratings comparing cerebellar patient and control groups. Download Table 4-1, DOC file.

  • Figure 5-1

    Relative treatment effect (RTE) estimates for A) skin conductance responses and B) skin conductance response incidences. Horizontal lines denote median RTEs and whiskers denote 95% confidence intervals. Blue colors = controls, red colors = cerebellar patients. Dark colors: CS+E and CS+U, light colors: CS–. Gray background = fear acquisition training. Post acquisition training responses to CS+E and CS+U were averaged (CS+avg). Download Figure 5-1, TIF file.

  • Figure 5-2

    Skin conductance response amplitudes (SCRs) related to US presentation and US omission (no-US) after CSs during fear acquisition training; Colored bars represent group mean (log-transformed) values for fear acquisition training. Error bars indicate S.E.M. Blue colors = controls, red colors = cerebellar patients. Full bars = trials followed by the US, striped bars = trials not followed by the US. Dark colors: CS+avg light colors: CS-. Circles represent individual responses: yellow circles represent SCA6 patients, white circles – non-SCA6 patients, black circles - controls. Download Figure 5-2, TIF file.

  • Figure 5-3

    Results of skin conductance responses in cerebellar patients and controls prior acquisition (habituation), during acquisition, extinction and recall. A) Skin conductance response (SCR) amplitudes and B) skin conductance response incidences. Colored bars represent group mean values for habituation, early and late blocks of fear acquisition training, extinction training and recall. Post acquisition training responses to CS+E and CS+U were averaged (CS+avg). Error bars indicate S.E.M. Blue colors = controls, red colors = cerebellar patients. Dark colors: CS+E/CS+avg and CS+U light colors: CS-. Colored circles represent individual responses of patients based on ataxia severity (Lai et al., 2019; Yang et al., 2020): green circles represent patients with mild ataxia (SARA score ≤ 10, n = 5), yellow circles = patients with moderate ataxia (SARA score > 10 and < 20, n = 12), orange circles = patients with severe ataxia (SARA score ≥ 20, n = 3), black circles = controls. Download Figure 5-3, TIF file.

  • Figure 5-4

    Skin conductance response amplitudes (SCRs) related to US presentation and US omission (no-US) after CSs during fear acquisition training; Colored bars represent group mean (log-transformed) values for fear acquisition training. Error bars indicate S.E.M. Blue colors = controls, red colors = cerebellar patients. Full bars = trials followed by the US, striped bars = trials not followed by the US. Dark colors: CS+avg light colors: CS-. Colored circles represent individual responses of patients based on ataxia severity (Lai et al., 2019; Yang et al., 2020): green circles represent patients with mild ataxia (SARA score ≤ 10, n = 5), yellow circles = patients with moderate ataxia (SARA score > 10 and < 20, n = 12), orange circles = patients with severe ataxia (SARA score ≥ 20, n = 3), black circles = controls. Download Figure 5-4, TIF file.

  • Table 5-1

    Results of the non-parametric ANOVA-type statistics for repeated measures for skin conductance response (SCR) amplitudes comparing cerebellar patient and control groups. Download Table 5-1, DOC file.

  • Table 5-2

    Results of the non-parametric ANOVA-type statistics for repeated measures for skin conductance response (SCR) incidences between patient and control groups. Download Table 5-2, DOC file.

  • Figure 6-1

    Gray matter voxel-based morphometry [contrast ‘control group > patient group’] for patient subgroups with A) spinocerebellar ataxia type 6 (SCA6, n = 6), B) sporadic adult-onset ataxia of unknown etiology (SAOA, n = 6) and C) autosomal dominant cerebellar ataxia type III (ADCA III, n = 5, SCA6 patients are not included in the ADCA III group). VBM group results are calculated using an uncorrected threshold p < 0.05 and in MNI space projected on a cerebellar flatmap using the SUIT toolbox (Diedrichsen and Zotow, 2015). VBM = voxel-based morphometry; L = left; R = right; SUIT = spatially unbiased atlas template of the cerebellum. Download Figure 6-1, TIF file.

  • Table 6-1

    Voxel-based morphometry results. Gray matter clusters are reported which were significant after application of threshold-free cluster-enhancement (TFCE) at p < 0.05 FWE corrected level (second level t-test). One cluster is detected and displayed (isotropic voxel size: 0.6 mm). For this cluster, three local maxima are listed separated by at least 8 mm. Download Table 6-1, DOC file.

  • Table 6-2

    Fear acquisition training, extinction training and recall. Activation clusters are reported which were significant after application of threshold-free cluster-enhancement (TFCE) at p < 0.05 FWE corrected level (t-tests). Displayed are all clusters ≥ 10 voxel (isotropic voxel size: 1.7 mm). In each cluster, up to three maxima are listed separated by at least 8 mm. CS+ = CS+E and CS+U trials were collapsed into the CS+. ncl. = nucleus, pFWE = family-wise error p value. Download Table 6-2, DOC file.

  • Table 12-1

    Results of the non-parametric two-way repeated measures ANOVA for freezing behavior between CT-shortPC and CT-longQ27PC mice groups. Download Table 12-1, DOC file.

  • Table 12-2

    Results of the non-parametric two-way ANOVA-type statistic for freezing behavior between genotype and trial during baseline and retrieval. Download Table 12-2, DOC file.

  • Table 12-3

    Post hoc comparisons for freezing behavior between genotype and trial during baseline and retrieval (least squares means test). Download Table 12-3, DOC file.

Back to top

In this issue

eneuro: 11 (2)
eNeuro
Vol. 11, Issue 2
February 2024
  • Table of Contents
  • Index by author
  • Masthead (PDF)
Email

Thank you for sharing this eNeuro article.

NOTE: We request your email address only to inform the recipient that it was you who recommended this article, and that it is not junk mail. We do not retain these email addresses.

Enter multiple addresses on separate lines or separate them with commas.
Mild Deficits in Fear Learning: Evidence from Humans and Mice with Cerebellar Cortical Degeneration
(Your Name) has forwarded a page to you from eNeuro
(Your Name) thought you would be interested in this article in eNeuro.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Print
View Full Page PDF
Citation Tools
Mild Deficits in Fear Learning: Evidence from Humans and Mice with Cerebellar Cortical Degeneration
Giorgi Batsikadze, Johanna Pakusch, Michael Klein, Thomas Michael Ernst, Andreas Thieme, Seyed Ali Nicksirat, Katharina Marie Steiner, Enzo Nio, Erhan Genc, Stefan Maderwald, Cornelius Deuschl, Christian Josef Merz, Harald H. Quick, Melanie D. Mark, Dagmar Timmann
eNeuro 4 January 2024, 11 (2) ENEURO.0365-23.2023; DOI: 10.1523/ENEURO.0365-23.2023

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
Respond to this article
Share
Mild Deficits in Fear Learning: Evidence from Humans and Mice with Cerebellar Cortical Degeneration
Giorgi Batsikadze, Johanna Pakusch, Michael Klein, Thomas Michael Ernst, Andreas Thieme, Seyed Ali Nicksirat, Katharina Marie Steiner, Enzo Nio, Erhan Genc, Stefan Maderwald, Cornelius Deuschl, Christian Josef Merz, Harald H. Quick, Melanie D. Mark, Dagmar Timmann
eNeuro 4 January 2024, 11 (2) ENEURO.0365-23.2023; DOI: 10.1523/ENEURO.0365-23.2023
Twitter logo Facebook logo Mendeley logo
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Jump to section

  • Article
    • Abstract
    • Significance Statement
    • Introduction
    • Materials and Methods
    • Results
    • Discussion
    • Footnotes
    • References
    • Synthesis
    • Author Response
  • Figures & Data
  • Info & Metrics
  • eLetters
  • PDF

Keywords

  • associative learning
  • cerebellar atrophy
  • cerebellum
  • fear conditioning
  • human
  • mouse model

Responses to this article

Respond to this article

Jump to comment:

No eLetters have been published for this article.

Related Articles

Cited By...

More in this TOC Section

Research Article: New Research

  • Robust representation and nonlinear spectral integration of harmonic stacks in layer 4 of mouse primary auditory cortex
  • Changes in palatability processing across the estrous cycle are modulated by hypothalamic estradiol signaling
  • Dynamic Encoding of Reward Prediction Error Signals in the Pigeon Ventral Tegmental Area during Reinforcement Learning
Show more Research Article: New Research

Disorders of the Nervous System

  • Investigating the Role of Cortical Microglia in a Mouse Model of Viral Infection-Induced Seizures
  • Functional-Structural Coupling: Brain Reorganization in Presbycusis Is Related to Cognitive Impairment
  • GABAB Receptor signaling in CA1 Pyramidal Cells is not Regulated by Aging in the APP/PS1 Mouse Model of Amyloid Pathology
Show more Disorders of the Nervous System
  • Home
  • Alerts
  • Follow SFN on BlueSky
  • Visit Society for Neuroscience on Facebook
  • Follow Society for Neuroscience on Twitter
  • Follow Society for Neuroscience on LinkedIn
  • Visit Society for Neuroscience on Youtube
  • Follow our RSS feeds

Content

  • Early Release
  • Current Issue
  • Latest Articles
  • Issue Archive
  • Blog
  • Browse by Topic

Information

  • For Authors
  • For the Media

About

  • About the Journal
  • Editorial Board
  • Privacy Notice
  • Contact
  • Feedback
(eNeuro logo)
(SfN logo)

Copyright © 2026 by the Society for Neuroscience.
eNeuro eISSN: 2373-2822

The ideas and opinions expressed in eNeuro do not necessarily reflect those of SfN or the eNeuro Editorial Board. Publication of an advertisement or other product mention in eNeuro should not be construed as an endorsement of the manufacturer’s claims. SfN does not assume any responsibility for any injury and/or damage to persons or property arising from or related to any use of any material contained in eNeuro.