range, a clear definition of how n is defined (for example x cells from x slices from x ... For any experiments using custom statistics, please indicate the test used and stats ...... Identify all custom software or scripts that were required to conduct.
Andreas Luthi
# Main Figures:
6
Manuscript Number:
NN-A51870A
# Supplementary Figures:
10
Manuscript Type:
Article
# Supplementary Tables:
0
# Supplementary Videos:
0
nature neuroscience | reporting checklist
Corresponding Author:
Reporting Checklist for Nature Neuroscience This checklist is used to ensure good reporting standards and to improve the reproducibility of published results. For more information, please read Reporting Life Sciences Research.
Please note that in the event of publication, it is mandatory that authors include all relevant methodological and statistical information in the manuscript.
Statistics reporting, by figure Please specify the following information for each panel reporting quantitative data, and where each item is reported (section, e.g. Results, & paragraph number).
z
Each figure legend should ideally contain an exact sample size (n) for each experimental group/condition, where n is an exact number and not a range, a clear definition of how n is defined (for example x cells from x slices from x animals from x litters, collected over x days), a description of the statistical test used, the results of the tests, any descriptive statistics and clearly defined error bars if applicable.
z
z
For any experiments using custom statistics, please indicate the test used and stats obtained for each experiment.
z
Each figure legend should include a statement of how many times the experiment shown was replicated in the lab; the details of sample collection should be sufficiently clear so that the replicability of the experiment is obvious to the reader.
z
For experiments reported in the text but not in the figures, please use the paragraph number instead of the figure number.
Note: Mean and standard deviation are not appropriate on small samples, and plotting independent data points is usually more informative. When technical replicates are reported, error and significance measures reflect the experimental variability and not the variability of the biological process; it is misleading not to state this clearly.
Fig. legend
9, 9, 10, 15
results, para 6
unpaired ttest
Results para 6
15
mice from at least 3 Methods litters/group para 8
slices from 10 mice
Results para 6
error bars are mean +/- SEM error bars are mean +/- SEM
EXACT VALUE
Fig. legend
p = 0.044
Results para 6
p = 0.0006
VALUE
SECTION & PARAGRAPH #
one-way ANOVA
REPORTED?
SECTION & PARAGRAPH #
SECTION & PARAGRAPH #
example
1a
DEFINED?
SECTION & PARAGRAPH #
FIGURE NUMBER
EXACT VALUE
Fig. legend
F(3, 36) = 2.97
Fig. legend
Results para 6
t(28) = 2.808
Results para 6
November 2014
WHICH TEST?
(AVERAGE, VARIANCE)
DEGREES OF FREEDOM & F/t/z/R/ETC VALUE
P VALUE
SECTION & PARAGRAPH #
DESCRIPTIVE STATS
n
example
TEST USED
1
-
+
-
1b
11 for CS Fig. only Paired t-test Legend 12 for CS-US
Yes
Fig. Legend
1d
Unpaired ttest
11 for CS only 12 for CS-US
Yes
Fig. legend
Fig. legend
EXACT VALUE
error bars are mean +/- SEM
***p < 0.001 for CS-US (CS+ Fig. vs CS-) legend p = 0.404 for CS only (CS+ vs CS-)
Fig. legend
error bars are mean +/- SEM
Fig. legend
Fig. legend
p = 0.865
Panel 1e, CS-/ CS+ ratio vs time in open arms (p < 0.001)
+
-
1e, f
Linear regression
Fig. legend
12
Yes
Fig. legend
Each dot represent an animal
Fig. legend
Panel 1f, CSratio vs time in open arms for CS only group (p= 0.260)
Panel 1e, CS-/CS+ ratio vs time in open arms (R = 0.6)
Fig. legend
-
+
+
+
+
+
+
+
-
Figure legend
1g
One-Way ANOVA
7 ChR, 9 control, 6 ARCH for Fig. EPM legend baseline tacklengt h
2l
Two-Way ANOVA
Fig. legend
7, 6
Yes
Fig. legend
error bars are mean +/- SEM
Fig. legend
p = 0.005
Fig. legend
2l
Paired t-test
Fig. legend
7, 6
Yes
Fig. legend
error bars are mean +/- SEM
Fig. legend
p = 0.011
Fig. legend
2m
Paired t-test
Fig. legend
7, 9, 6
Yes
Fig. legend
error bars are mean +/- SEM
Fig. legend
p = 0.009
Fig. legend
2m
Two-Way ANOVA
Fig. legend
7, 9, 6
Yes
Fig. legend
error bars are mean +/- SEM
Fig. legend
p < 0.001
Fig. legend
2p
Paired t-test
Fig. legend
7, 8, 7
Yes
Fig. legend
error bars are mean +/- SEM
Fig. legend
p = 0.008
Fig. legend
2p
Two-Way ANOVA
Fig. legend
7, 8, 7
Yes
Fig. legend
error bars are mean +/- SEM
Fig. legend
P < 0.01
Fig. legend
3b
Paired t-test
Fig. legend
6
Yes
Fig. legend
error bars are mean +/- SEM
Fig. legend
p = 0.005
Fig. legend
3c
One-Way ANOVA followed by Post-hoc Tukey Test
Fig. legend
4
Yes
Fig. legend
error bars are mean +/- SEM
Fig. legend
p = 0.013
Fig. legend
Yes
Fig. legend
error bars are mean +/- SEM
Fig. legend
p = 0.766
Fig. legend
F(1,11) = 11.83
Fig. legend
F(2,19) = 26.72
Fig. legend
F(2,19) = 58.587
Fig. legend November 2014
+
Panel 1f, CSratio vs time in open arms for CS only group (R = 0.298) Panel 1f, CSratio vs time in open arms for CS only group (R= 0.287)
Panel 1f, CSratio vs time in open arms for CS only group (p= 0.335)
+
VALUE
SECTION & PARAGRAPH #
REPORTED?
DEGREES OF FREEDOM & F/t/z/R/ETC VALUE
P VALUE
SECTION & PARAGRAPH #
DEFINED?
SECTION & PARAGRAPH #
EXACT VALUE
(AVERAGE, VARIANCE)
SECTION & PARAGRAPH #
SECTION & PARAGRAPH #
FIGURE NUMBER
+
WHICH TEST?
DESCRIPTIVE STATS
n
nature neuroscience | reporting checklist
TEST USED
2
-
+
-
+
-
+
-
+
+
-
+
-
+
-
+
-
+
+
+
+
Fig. legend
4
Yes
Fig. legend
error bars are mean +/- SEM
Fig. legend
p = 0.029
Fig. legend
3e
Paired t-test Fig. (Wilcoxon Signed Rank legend Test)
5
Yes
Fig. legend
error bars are mean +/- SEM
Fig. legend
p = 0.01
Fig. legend
4a
One-Way ANOVA followed by Dunn’s pairwise multiple comparison test
CS+ in CS-US p < 0.001
Fig. legend
11 CS only, 12 CS-US
Yes
4c
Unpaired ttest(MannWhitney Rank Sum Test)
Fig. legend
26 (CSUS), 14 (CS only)
4c
Unpaired ttest(MannWhitney Rank Sum Test)
Fig. legend
4d
Linear regression
Fig. legend
5b
One-Way ANOVA followed by Dunn’s pairwise multiple comparison test
Fig. 5, 4, 5, 5, legend 6, 6
Yes
Fig. legend
error bars are mean +/- SEM
Fig. legend
p = 0.006
Fig. legend
5c
Unpaired ttest (MannWhitney Rank Sum Test)
Fig. legend
9, 13
Yes
Fig. legend
error bars are mean +/- SEM
Fig. legend
p = 0.008
Fig. legend
5d
Two tailed unpaired ttest (Equal variance Test)
Fig. legend
8
Yes
Fig. legend
error bars are mean +/- SEM
Fig. legend
p = 0.043
Fig. legend
6c
Unpaired ttest(MannWhitney Rank Sum Test)
Fig. legend
7, 8
Yes
Fig. legend
error bars are mean +/- SEM
Fig. legend
p = 0.006
Fig. legend
6d
Unpaired tFig. test(Shapiro legend -Wilk)
7
Yes
Fig. legend
error bars are mean +/- SEM
Fig. legend
p = 0.007
Fig. legend
6e
Unpaired tFig. test(Shapiro legend -Wilk)
7
Yes
Fig. legend
error bars are mean +/- SEM
Fig. legend
p = 0.005
Fig. legend
6f
Unpaired tFig. test(Shapiro legend -Wilk)
5
Yes
Fig. legend
error bars are mean +/- SEM
Fig. legend
p = 0.007
Fig. legend
Fig. legend
error bars are mean +/- SEM
Fig. legend
Yes
Fig. legend
error bars are mean +/- SEM
Fig. legend
p < 0.001
Fig. legend
28 (CSUS), 14 (CS only)
Yes
Fig. legend
error bars are mean +/- SEM
Fig. legend
p < 0.001
Fig. legend
8 values
Yes. Each dot 2-4 cells
error bars are mean +/- SEM
CS only p = 0.412
Fig. legend
p = 0.041
November 2014
-
3d
Unpaired ttest (MannWhitney Rank Sum Test)
nature neuroscience | reporting checklist
+
3
-
+
-
+
-
S1d
Fig. legend
5
Yes
Fig. legend
error bars are mean +/- SEM
Fig. legend
p < 0.05
Fig. legend
q = 3.8
S1g
One-Way ANOVA on Ranks followed by Tukey’s pairwise multiple comparison test
Fig. legend
6
Yes
Fig. legend
error bars are mean +/- SEM
Fig. legend
p < 0.05
Fig. legend
q = 3.9
Yes
Fig. legend
error bars are mean +/- SEM
Fig. legend
P = 0.766
Fig. legend
S2a
One-Way ANOVA
7 ChR, 9 control, 6 ARCH for Fig. EPM legend baseline tacklengt h
nature neuroscience | reporting checklist
+
One-Way ANOVA on Ranks followed by Tukey’s pairwise multiple comparison test
p = 0.656 for on/off in ChR
+
-
+
-
S2b
S2c
Paired t-test 5 ChR, 7 between Fig. control, 5 light on and legend ARCH off for each group
Yes
Paired t-test between Fig. light on and legend off
Yes
7
Fig. legend
error bars are mean +/- SEM
Fig. legend
p = 0.445 for on/off in control
Fig. legend
p = 0.464 for on/off in ARCH Fig. legend
error bars are mean +/- SEM
Fig. legend
p = 0.421
Fig. legend
p < 0.001 between on/ off in ChR group
+
-
S2d
Paired t-test between Fig. light on and legend off for each group
7 each group
Yes
Fig. legend
error bars are mean +/- SEM
Fig. legend
p = 0.895 between on/ off in Control group
Fig. legend
p =0.049 between on/ off in Arch group p < 0.001 between on/ off in ChR group
+
-
S2e
Paired t-test between Fig. light on and legend off for each group
7 each group
Yes
Fig. legend
error bars are mean +/- SEM
Fig. legend
p = 0.081 between on/ off in Control group
Fig. legend
+
+
-
S2f
Unpaired ttest
Fig. legend
7 each group
Yes
Fig. legend
error bars are mean +/- SEM
Fig. legend
p= 0.014
Fig. legend
S2g
Unpaired ttest
Fig. legend
7 each groups
Yes
Fig. legend
error bars are mean +/- SEM
Fig. legend
p = 0.011
Fig. legend
November 2014
p = 0.001 between on/ off in ARCH group
4
-
+
-
S2h
Unpaired ttest
Fig. legend
7 each groups
Yes
Fig. legend
error bars are mean +/- SEM
Fig. legend
p < 0.001
Fig. legend
S3b
One-Way ANOVA on Ranks followed by Tukey’s pairwise multiple comparison test
Fig. legend
4
Yes
Fig. legend
error bars are mean +/- SEM
Fig. legend
p < 0.001
Fig. legend
nature neuroscience | reporting checklist
+
p = 0.259 for SR(1 uM) +
-
S3d
Sample ttest vs control 0
Fig. legend
6, 15, 12
Yes
Fig. legend
error bars are mean +/- SEM
Fig. legend
p = 0.130 for SR(50 uM)
Fig. legend
p < 0.001 for PTX (100uM) +
-
+
-
S3e
Paired t-test
Fig. legend
S3i
Sample ttest vs control 0
Fig. legend
6 for SR (1 uM), 15 for SR (50 uM)
4, 5
Yes
Fig. legend
error bars are mean +/- SEM
Fig. legend
Yes
Fig. legend
error bars are mean +/- SEM
Fig. legend
p < 0.001 for each SR concentration p = 0.188 for SR p = 0.031 for PTX
Fig. legend
Fig. legend
p = 0.206 for baseline vs SR +
-
+
-
+
-
+
-
+
+
+
-
-
Paired t-test
S3l
Sample ttest vs control 0
Fig. legend
4 for SR, 5 for PTX
Fig. legend
8 for SR, 10 for PTX
Yes
Fig. legend
Yes
Yes
Fig. legend
Fig. legend
S3m
Paired t-test
Fig. legend
8 for SR, 10 for PTX
S4a
Repeated measures One-Way ANOVA followed by Dunnett's multiple comparison test
Fig. legend
6
Yes
Fig. legend
S4b
Paired t-test
Fig. legend
7
Yes
Fig. legend
S4c
Paired t-test
Fig. legend
7
Yes
Fig. legend
S4d
Sample ttest vs control 0
Fig. legend
Liner regression
Fig. legend
S4e
7
Yes
Yes
Each dot is from a Fig. recorded cell legend
error bars are mean +/- SEM
Fig. legend
p = 0.031 for baseline vs PTX p = 0.214 for SR p = 0.008 for PTX
p = 0.428 for baseline vs SR Each dot is from a Fig. p = 0.008 for recorded cell legend baseline vs PTX
error bars are mean +/- SEM
Fig. legend
Fig. legend
p = 0.005 for SR vs PTX
Fig. legend
Each dot is from a Fig. recorded cell legend
p = 0.01
Fig. legend
Each dot is from a Fig. recorded cell legend
p = 0.904
Fig. legend
Fig. legend
error bars are mean +/- SEM
Fig. legend
Each dot is from a recorded cell
Fig. legend
Fig. legend
Fig. legend
p = 0.016 for TTX p < 0.001 for PTX p = 0.028
Fig. legend
Fig. legend
R = 0.848
Fig. legend
November 2014
+
S3j
5
p = 0.004 L-655,708 (5 uM) p = 0.006 L-655,708 (50 uM) p = 0.009 PWZ (100 nM)
L-655,70 8 (6-9)
+
-
S6b
Sample ttest versus control 0
p = 0.019 PWZ (1 uM)
PWZ (4-5) Fig. legend
THDOC (8) Zolpidem (8)
Yes
Fig. legend
error bars are mean +/- SEM
p = 0.945 Fig. THDOC 10 nM legend
Fig. legend
nature neuroscience | reporting checklist
p = 0.024 L655,708 (50 nM)
p = 0.988 THDOC (100 nM)
PTX (14)
p = 0.379 Zolpidem (20 nM) p = 0.855 Zolpidem (100 nM) p = 0.938 Zolpidem (300 nM) p < 0.001 PTX (100 uM)
+
-
S6b
One-Way ANOVA followed by Tukey's multiple comparison test
Fig. legend
L-655,70 8 (6-9) Yes PWZ (4-5)
Fig. legend
error bars are mean +/- SEM
p = 0.012 L655,708 (50 uM) vs THDOC Fig. (100 nM) legend p = 0.024 PTX (100 uM) vs all conditions
Fig. legend
p = 0.593 L-655,708 (50 nM)
+
-
S6c
Sample ttest versus control 0
Fig. legend
L-655,70 8 (6-9) Yes PWZ (4)
Fig. legend
error bars are mean +/- SEM
Fig. legend
p = 0.325 L-655,708 (5 uM)
Fig. legend
p = 0.351 L-655,708 (50 uM) p = 0.902 PWZ (1 uM)
November 2014
6
nature neuroscience | reporting checklist
p = 0.208 L-655,708 (50 nM)
+
-
S6d
Sample ttest versus control 0
Fig. legend
L-655,70 8 (6-9) Yes PWZ (4)
Fig. legend
error bars are mean +/- SEM
Fig. legend
p = 0.195 L-655,708 (5 uM)
Fig. legend
p = 0.157 L-655,708 (50 uM) p = 0.144 PWZ (1 uM)
+
-
+
+
+
-
+
-
+
+
+
-
+
-
Sample ttest versus control 0
Fig. legend
5-6
S7d
Unpaired ttest
Fig. legend
8 for vehicle 6 for PWZ group
S8b
Upaired ttest
Fig. legend
Linear regression
Fig. legend
S6e
S8c
S8e
Repeated measures One-Way ANOVA
S8f
One-way ANOVA followed by Bonferroni Post-hoc test
S8g
Linear regression
S8h
One-way ANOVA followed by Bonferroni Post-hoc test
S8i
One-way ANOVA followed by Bonferroni Post-hoc test
Fig. legend
Yes
Yes
8 CS only
7
5 each group
error bars are mean +/- SEM
Fig. legend
Fig. legend
error bars are mean +/- SEM
Fig. legend
p < 0.001
Fig. legend
Fig. legend
p = 0.008
Fig. legend
Fig. legend
p = 188
Fig. legend
Fig. legend
12 CS-US Yes
Yes
p = 0.025 for PWZ (100 nM)
Fig. legend
Fig. legend
Fig. legend
Each dot is from 2-4 cells from a single animal
error bars are mean +/- SEM
Fig. legend
p = 0.046 for PWZ (1 uM)
p < 0.001 PTX versus THDOC (10 and 100 nM) for CS only
Fig. legend
R = 0.145
Fig. legend
Fig. legend
p = 0.001 PTX versus THDOC (10 and 100 nM) for CS-US
Fig. legend
11 (CS only) 12 (CSUS) 10 (US only)
Fig. legend
11
Fig. legend
6 neurons for US only (the rest is in fig. 3)
Fig. legend
6 neurons for US only (the rest is in fig. 3)
Yes
Fig. legend
error bars are mean +/- SEM
Fig. legend
p < 0.001 CS only versus CS-US or US only
Fig. legend
Yes
Fig. legend
error bars are mean +/- SEM
Fig. legend
p < 0.001
Fig. legend
Yes
Fig. legend
error bars are mean +/- SEM
Fig. legend
p < 0.001 CS only versus CS-US or US only
Fig. legend
Yes
Fig. legend
error bars are mean +/- SEM
Fig. legend
p < 0.004 CS only versus CS-US or US only
Fig. legend
November 2014
7
Representative figures
1. Are any representative images shown (including Western blots and immunohistochemistry/staining) in the paper?
Yes, there are representative traces in Figs. 1, 2, 3, 4,5 and Supplementary Figs. 1, 2, 3, 4, 5, 6, 8, 9.
If so, what figure(s)?
2. For each representative image, is there a clear statement of how many times this experiment was successfully repeated and a discussion of any limitations in repeatability?
The statistical sample size is indicated in each figure legend.
If so, where is this reported (section, paragraph #)?
nature neuroscience | reporting checklist
Statistics and general methods
1. Is there a justification of the sample size? If so, how was it justified?
The sample size is justified by checking on the overall standard deviation and variability of the groups. Highly variable samples were hard to define and compared with another group.
Where (section, paragraph #)? Even if no sample size calculation was performed, authors should report why the sample size is adequate to measure their effect size.
2. Are statistical tests justified as appropriate for every figure? Where (section, paragraph #)?
No statistical methods were used to predetermine sample sizes but our sample sizes are similar to those reported in previous publications.
Standard statistical tests were used to compare either a change from baseline or between sample groups. No statistical methods were used to predetermine sample sizes but our sample sizes are similar to those reported in previous publications. Statistics
a. If there is a section summarizing the statistical methods in the methods, is the statistical test for each experiment clearly defined?
Different statistical methods, such as ANOVAs or paired t-tests, are not explained because we assume they are standard statistics for analyze the variability among groups. Analyses and averages are indicated in the method session.
b. Do the data meet the assumptions of the specific statistical test you chose (e.g. normality for a parametric test)?
Normal Data distribution and equal variance was formally tested using Sigma Plot 13.0 or GraphPad Prism 6 for all statistical tests.
Where is this described (section, paragraph #)?
Figure legends
c. Is there any estimate of variance within each group of data? Figure legends Is the variance similar between groups that are being statistically compared?
d. Are tests specified as one- or two-sided?
Yes
e. Are there adjustments for multiple comparisons?
Yes
November 2014
Where is this described (section, paragraph #)?
8
Was this criterion established prior to data collection? Where is this described (section, paragraph #)?
4. Define the method of randomization used to assign subjects (or samples) to the experimental groups and to collect and process data. If no randomization was used, state so.
Methods - Optogenetic, electrophysiology paragraphs The criteria for data exclusion were considered for technical problems such as stability of the recordings, loss of a recorded neuron, missed injection site, etc. They are indicated in the material and method session.
Methods - behavior. Usually, all the experimental groups were interleaved in order to have a similar time and experimental condition.
Where does this appear (section, paragraph #)? Data were collected and processed randomly apart from the data collected from grouped animals.
5. Is a statement of the extent to which investigator knew the group allocation during the experiment and in assessing outcome included? If no blinding was done, state so. Where (section, paragraph #)?
nature neuroscience | reporting checklist
3. Are criteria for excluding data points reported?
Methods - Electrophysiology, Virus injection and optogenetic All the recording data were collected on the basis of their technical validity and the stability of the recordings and injection site. There was no further group allocation. Data collection and analysis were not performed blind to the conditions of the experiments. Methods - Statistics
6. For experiments in live vertebrates, is a statement of compliance with Methods - "Animals". ethical guidelines/regulations included? Where (section, paragraph #)?
7. Is the species of the animals used reported? Where (section, paragraph #)?
8. Is the strain of the animals (including background strains of KO/ transgenic animals used) reported?
Methods - Animals Results - first paragraph
Results - first paragraph
Where (section, paragraph #)?
9. Is the sex of the animals/subjects used reported?
Methods - "Animals".
Where (section, paragraph #)?
10. Is the age of the animals/subjects reported?
Methods - "Animals".
Where (section, paragraph #)?
11. For animals housed in a vivarium, is the light/dark cycle reported?
Methods - "Animals".
12. For animals housed in a vivarium, is the housing group (i.e. number of Methods - "Animals". animals per cage) reported?
November 2014
Where (section, paragraph #)?
Where (section, paragraph #)?
9
Where (section, paragraph #)?
14. Is the previous history of the animals/subjects (e.g. prior drug administration, surgery, behavioral testing) reported?
Methods - "Animals". All the experiments were performed between 8 am and 5 pm during the light cycle. Methods - Behavior
Where (section, paragraph #)?
a. If multiple behavioral tests were conducted in the same group of animals, is this reported?
Methods - "Behavior" and "Electrophysiology".
Where (section, paragraph #)?
15. If any animals/subjects were excluded from analysis, is this reported?
nature neuroscience | reporting checklist
13. For behavioral experiments, is the time of day reported (e.g. light or dark cycle)?
Methods - "Behavior" and "Electrophysiology".
Where (section, paragraph #)?
a. How were the criteria for exclusion defined? Where is this described (section, paragraph #)?
Methods - Virus injections and optogenetic experiments The animals were excluded from the data if bilateral viral injection and expression was not successful.
b. Specify reasons for any discrepancy between the number of The number of animals used was between 6 and 15 in each data set. There is no major discrepancy from the beginning to the end of animals at the beginning and end of the study. the project. Where is this described (section, paragraph #)?
Reagents
1. Have antibodies been validated for use in the system under study (assay and species)?
a. Is antibody catalog number given?
Yes, they have been validated for other research groups or on knock out animals.
Methods - "Immunohistochemistry".
Where does this appear (section, paragraph #)?
b. Where were the validation data reported (citation, supplementary information, Antibodypedia)?
Methods - "Immunohistochemistry". Supplementary figure 5 for the alpha5 antibody.
Where does this appear (section, paragraph #)?
2. If cell lines were used to reflect the properties of a particular tissue or disease state, is their source identified?
No cell lines were used.
a. Were they recently authenticated? Where is this information reported (section, paragraph #)?
-
November 2014
Where (section, paragraph #)?
10
Data deposition
Data deposition in a public repository is mandatory for: a. Protein, DNA and RNA sequences b. Macromolecular structures c. Crystallographic data for small molecules d. Microarray data Deposition is strongly recommended for many other datasets for which structured public repositories exist; more details on our data policy are available here. We encourage the provision of other source data in supplementary information or in unstructured repositories such as Figshare and Dryad. We encourage publication of Data Descriptors (see Scientific Data) to maximize data reuse. 1. Are accession codes for deposit dates provided?
-
nature neuroscience | reporting checklist
Where (section, paragraph #)?
Computer code/software
Any custom algorithm/software that is central to the methods must be supplied by the authors in a usable and readable form for readers at the time of publication. However, referees may ask for this information at any time during the review process.
1. Identify all custom software or scripts that were required to conduct the study and where in the procedures each was used.
Custom softwares are commercially available and their name can be found in the method session.
2. If computer code was used to generate results that are central to the paper's conclusions, include a statement in the Methods section under "Code availability" to indicate whether and how the code can be accessed. Include version information as necessary and any restrictions on availability.
-
Human subjects
1. Which IRB approved the protocol?
No human studies were conducted.
Where is this stated (section, paragraph #)? 2. Is demographic information on all subjects provided?
-
Where (section, paragraph #)?
3. Is the number of human subjects, their age and sex clearly defined?
-
Where (section, paragraph #)?
Where (section, paragraph #)?
-
November 2014
4. Are the inclusion and exclusion criteria (if any) clearly specified?
11
-
Where is this information described (section, paragraph #)?
6. Is a statement included confirming that informed consent was obtained from all subjects?
-
Where (section, paragraph #)?
7. For publication of patient photos, is a statement included confirming that consent to publish was obtained?
-
Where (section, paragraph #)?
fMRI studies
nature neuroscience | reporting checklist
5. How well were the groups matched?
For papers reporting functional imaging (fMRI) results please ensure that these minimal reporting guidelines are met and that all this information is clearly provided in the methods:
1. Were any subjects scanned but then rejected for the analysis after the data was collected?
a. If yes, is the number rejected and reasons for rejection described?
-
Where (section, paragraph #)?
2. Is the number of blocks, trials or experimental units per session and/ or subjects specified?
-
Where (section, paragraph #)?
3. Is the length of each trial and interval between trials specified?
-
4. Is a blocked, event-related, or mixed design being used? If applicable, please specify the block length or how the event-related or mixed design was optimized.
-
5. Is the task design clearly described?
-
Where (section, paragraph #)?
-
7. Is an ANOVA or factorial design being used?
-
8. For data acquisition, is a whole brain scan used?
-
If not, state area of acquisition.
a. How was this region determined?
November 2014
6. How was behavioral performance measured?
-
12
a. Is the pulse sequence type (gradient/spin echo, EPI/spiral) stated?
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b. Are the field-of-view, matrix size, slice thickness, and TE/TR/ flip angle clearly stated?
10. Are the software and specific parameters (model/functions, smoothing kernel size if applicable, etc.) used for data processing and pre-processing clearly stated?
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11. Is the coordinate space for the anatomical/functional imaging data clearly defined as subject/native space or standardized stereotaxic space, e.g., original Talairach, MNI305, ICBM152, etc? Where (section, paragraph #)?
nature neuroscience | reporting checklist
9. Is the field strength (in Tesla) of the MRI system stated?
12. If there was data normalization/standardization to a specific space template, are the type of transformation (linear vs. nonlinear) used and image types being transformed clearly described? Where (section, paragraph #)?
13. How were anatomical locations determined, e.g., via an automated labeling algorithm (AAL), standardized coordinate database (Talairach daemon), probabilistic atlases, etc.?
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14. Were any additional regressors (behavioral covariates, motion etc) used?
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15. Is the contrast construction clearly defined?
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16. Is a mixed/random effects or fixed inference used?
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a. If fixed effects inference used, is this justified? 17. Were repeated measures used (multiple measurements per subject)? a. If so, are the method to account for within subject correlation and the assumptions made about variance clearly stated?
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18. If the threshold used for inference and visualization in figures varies, is this clearly stated?
a. If not, is this labeled as uncorrected?
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November 2014
19. Are statistical inferences corrected for multiple comparisons?
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a. If so, is the rationale clearly described?
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b. How were the ROI’s defined (functional vs anatomical localization)?
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21. Is there correction for multiple comparisons within each voxel?
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22. For cluster-wise significance, is the cluster-defining threshold and the corrected significance level defined?
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nature neuroscience | reporting checklist
20. Are the results based on an ROI (region of interest) analysis?
Additional comments Additional Comments
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November 2014
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