Datasets:

Genius-Society
/

aal_stats_vol

ID stringlengths 13 13	Precentral_L int64 3.43k 9.6k	Precentral_R int64 3.81k 9.63k	Frontal_Sup_L int64 4.78k 9.97k	Frontal_Sup_R int64 4.7k 10.5k	Frontal_Sup_Orb_L int64 1.63k 3.41k	Frontal_Sup_Orb_R int64 1.79k 3.95k	Frontal_Mid_L int64 5.54k 15.8k	Frontal_Mid_R int64 6.72k 16.6k	Frontal_Mid_Orb_L int64 1.29k 3.78k	Frontal_Mid_Orb_R int64 1.94k 3.91k	Frontal_Inf_Oper_L int64 1.26k 5.76k	Frontal_Inf_Oper_R int64 1.74k 5.2k	Frontal_Inf_Tri_L int64 3.06k 7.46k	Frontal_Inf_Tri_R int64 2.74k 6.92k	Frontal_Inf_Orb_L int64 3.72k 7.36k	Frontal_Inf_Orb_R int64 3.29k 6.34k	Rolandic_Oper_L int64 1.56k 3.42k	Rolandic_Oper_R int64 2.5k 7.38k	Supp_Motor_Area_L int64 2.5k 6.66k	Supp_Motor_Area_R int64 2.46k 7.6k	Olfactory_L int64 431 1.5k	Olfactory_R int64 515 1.45k	Frontal_Sup_Medial_L int64 3.72k 9.41k	Frontal_Sup_Medial_R int64 2.37k 6.87k	Frontal_Mid_Orb_L.1 int64 1.02k 3.62k	Frontal_Mid_Orb_R.1 int64 1.46k 4.4k	Rectus_L int64 1.18k 4.09k	Rectus_R int64 1.32k 4.03k	Insula_L int64 3.88k 9.58k	Insula_R int64 3.86k 7.93k	Cingulum_Ant_L int64 2.36k 5.89k	Cingulum_Ant_R int64 1.63k 5.72k	Cingulum_Mid_L int64 3.33k 7.35k	Cingulum_Mid_R int64 3.71k 7.84k	Cingulum_Post_L int64 609 2.49k	Cingulum_Post_R int64 353 1.91k	Hippocampus_L int64 1.19k 3.93k	Hippocampus_R int64 1.22k 4.81k	ParaHippocampal_L int64 1.5k 5.08k	ParaHippocampal_R int64 2.03k 6.45k	Amygdala_L int64 354 1.45k	Amygdala_R int64 391 1.52k	Calcarine_L int64 1.84k 10.7k	Calcarine_R int64 2.16k 7.52k	Cuneus_L int64 1.4k 6.5k	Cuneus_R int64 1.57k 5.67k	Lingual_L int64 807 8.03k	Lingual_R int64 2.41k 7.91k	Occipital_Sup_L int64 760 4.07k	Occipital_Sup_R int64 1.28k 4.34k	Occipital_Mid_L int64 3.04k 8.74k	Occipital_Mid_R int64 3.25k 8.32k	Occipital_Inf_L int64 233 3.11k	Occipital_Inf_R int64 1.27k 4.25k	Fusiform_L int64 1.7k 11.3k	Fusiform_R int64 4.32k 14.1k	Postcentral_L int64 4.23k 12.8k	Postcentral_R int64 4.47k 12.4k	Parietal_Sup_L int64 2.24k 7.51k	Parietal_Sup_R int64 2.02k 7.41k	Parietal_Inf_L int64 3.25k 8.83k	Parietal_Inf_R int64 1.28k 4.47k	SupraMarginal_L int64 1.7k 4.24k	SupraMarginal_R int64 1.82k 9.46k	Angular_L int64 800 3.51k	Angular_R int64 1.55k 7.21k	Precuneus_L int64 4.97k 14.1k	Precuneus_R int64 4.22k 11.3k	Paracentral_Lobule_L int64 979 3.67k	Paracentral_Lobule_R int64 688 2.26k	Caudate_L int64 1.87k 4.41k	Caudate_R int64 2.3k 4.59k	Putamen_L int64 1.41k 4.45k	Putamen_R int64 1.28k 4.65k	Pallidum_L int64 69 878	Pallidum_R int64 60 782	Thalamus_L int64 1.07k 2.91k	Thalamus_R int64 1.19k 3.49k	Heschl_L int64 308 1.38k	Heschl_R int64 275 1.32k	Temporal_Sup_L int64 3.89k 10.9k	Temporal_Sup_R int64 3.97k 13.5k	Temporal_Pole_Sup_L int64 591 7.45k	Temporal_Pole_Sup_R int64 929 5.87k	Temporal_Mid_L int64 7.47k 17.5k	Temporal_Mid_R int64 7.17k 18.6k	Temporal_Pole_Mid_L int64 276 4.68k	Temporal_Pole_Mid_R int64 656 10.9k	Temporal_Inf_L int64 3.33k 10.6k	Temporal_Inf_R int64 5.57k 19.5k	Label int64 0 1
Data_00_brain	6,081	4,517	6,163	5,919	1,913	2,289	7,701	7,839	1,842	1,944	1,568	2,799	3,062	3,167	4,677	4,123	2,276	3,600	4,250	4,767	775	743	5,618	4,173	1,572	1,520	2,347	1,995	5,051	5,116	2,466	3,290	3,494	4,372	823	377	2,523	2,252	2,720	3,402	654	735	4,514	4,313	2,109	1,887	4,909	4,108	1,596	1,283	4,857	3,667	1,897	1,633	7,198	7,101	6,409	5,506	2,243	2,073	4,607	1,381	1,908	2,717	1,940	1,552	4,974	4,530	1,785	1,033	3,112	3,021	1,980	2,217	144	179	2,107	1,896	491	570	5,840	6,646	2,100	2,501	9,878	8,882	2,272	1,734	6,533	7,221	1
Data_01_brain	7,723	7,983	9,151	9,135	2,659	2,346	13,967	16,565	2,092	3,111	5,755	5,195	7,460	5,813	5,582	6,339	2,504	4,978	6,021	6,301	1,197	1,135	9,409	6,607	2,954	3,607	3,597	3,041	7,484	6,814	5,018	4,941	7,064	7,623	1,791	998	3,814	3,718	4,182	5,847	993	1,143	7,814	6,094	5,068	4,359	5,623	7,908	3,680	3,832	6,275	7,255	1,969	3,078	7,197	11,783	7,733	8,548	6,516	6,466	6,169	3,803	2,433	9,336	2,177	5,351	14,133	11,275	3,381	992	3,522	3,111	1,971	2,287	142	342	1,980	2,733	845	1,324	9,132	11,595	7,104	5,867	13,500	16,379	3,778	10,915	7,456	16,584	0
Data_02_brain	8,852	8,397	5,811	9,491	2,347	2,859	8,855	12,918	2,392	3,471	2,988	3,625	5,984	3,927	4,623	4,449	2,135	4,489	6,175	5,973	748	808	5,219	4,455	2,901	3,162	2,904	2,332	6,708	5,801	5,082	3,847	5,382	6,581	1,662	887	3,374	3,004	3,847	5,242	854	754	9,314	4,030	4,022	4,167	5,826	7,524	2,531	3,153	3,694	6,370	2,491	1,984	8,770	11,231	8,942	9,081	4,489	6,082	4,669	3,827	1,838	5,892	2,333	5,949	10,084	9,027	2,789	1,608	4,224	4,057	2,855	2,863	185	271	2,213	2,962	823	554	7,495	8,207	4,765	2,798	12,215	14,843	2,706	2,810	6,701	14,572	0
Data_03_brain	7,756	7,569	7,941	9,912	2,187	2,530	10,182	12,548	2,122	2,585	1,597	3,824	4,636	3,802	5,611	4,227	2,995	5,613	5,629	7,604	952	916	5,587	5,117	1,782	1,734	1,704	2,026	5,517	5,421	4,071	4,139	5,427	6,308	1,072	653	2,347	2,289	4,050	4,162	821	995	5,383	4,565	5,155	4,297	5,921	5,378	3,893	3,404	7,408	6,247	1,448	2,269	6,641	8,990	8,422	9,018	4,636	4,581	3,859	2,951	1,884	3,656	2,167	3,343	7,386	7,684	3,100	2,261	3,734	3,787	3,235	3,242	345	240	2,440	2,696	781	858	7,392	11,280	1,768	2,565	10,946	12,468	1,216	2,069	5,310	9,565	1
Data_04_brain	7,010	6,905	8,570	8,260	2,756	2,823	10,806	16,407	2,178	3,331	3,781	3,244	6,062	5,343	6,385	5,800	2,791	4,033	4,476	6,274	1,257	1,209	7,467	6,623	3,345	3,573	4,085	3,276	7,686	6,744	4,459	3,677	6,798	6,931	2,207	1,217	3,926	4,025	3,926	3,358	1,447	887	9,889	5,100	6,503	5,612	5,242	6,211	2,995	3,258	5,558	7,090	2,057	3,254	6,270	13,759	9,087	8,676	5,893	5,299	7,078	3,623	2,470	8,224	3,506	6,057	12,469	11,277	2,301	1,939	4,006	3,613	2,571	3,160	201	316	2,912	3,486	1,009	678	8,103	10,158	7,453	4,478	15,113	18,562	3,004	3,981	7,655	19,454	0
Data_05_brain	5,392	5,004	7,058	9,019	1,942	2,250	12,659	10,958	1,992	3,144	2,617	2,917	6,957	5,579	3,965	5,181	1,987	3,401	3,567	4,812	1,112	1,046	7,514	6,872	2,268	2,330	2,894	2,074	6,115	5,640	3,642	2,671	6,088	5,649	1,438	944	2,840	2,617	3,091	4,296	924	956	6,335	4,625	4,528	4,384	3,823	4,900	2,506	3,216	5,063	5,492	2,279	3,056	4,675	8,787	7,896	6,927	5,246	3,561	5,933	2,563	2,999	5,973	800	3,634	9,291	7,176	2,088	1,450	3,710	3,065	1,692	2,272	100	205	1,605	2,656	750	602	7,111	7,629	5,790	2,399	9,940	13,621	2,693	3,328	6,659	15,223	0
Data_06_brain	6,539	5,399	6,452	6,884	2,384	2,675	9,360	9,893	2,894	3,103	1,388	2,336	4,137	2,957	4,897	3,857	2,393	3,289	3,355	3,431	765	713	4,556	3,018	1,981	2,423	1,883	2,080	4,817	4,206	4,717	3,425	4,167	5,040	1,344	926	1,924	1,215	1,503	2,371	420	416	1,844	3,186	1,395	2,645	807	2,410	760	1,945	3,968	4,550	233	2,239	1,702	4,318	5,510	5,723	3,502	4,044	5,107	2,742	2,846	4,074	2,037	3,003	6,960	7,612	2,190	1,455	4,095	4,592	2,486	2,403	287	216	2,208	2,084	480	490	4,851	5,997	1,212	1,330	9,225	15,785	826	1,375	4,209	8,252	1
Data_07_brain	7,003	6,039	5,957	5,626	1,926	2,026	11,672	8,819	1,761	2,637	1,509	2,514	3,095	4,259	4,444	4,352	1,833	2,503	2,504	3,211	639	720	4,556	3,221	1,319	1,753	1,539	1,517	4,137	4,263	3,040	2,912	3,844	4,370	1,289	789	1,711	1,396	1,708	2,224	515	528	4,359	2,780	2,719	2,393	4,105	3,998	1,774	1,526	5,876	4,890	1,188	1,913	4,850	5,561	6,808	5,740	2,912	2,674	3,433	1,749	2,465	2,993	1,365	2,277	6,386	5,669	1,809	1,536	3,502	2,996	1,677	1,486	156	95	1,440	1,492	308	395	3,891	5,038	1,847	2,583	9,502	8,685	1,971	2,269	8,204	7,092	1
Data_08_brain	6,333	6,483	6,781	6,859	1,801	2,966	10,831	12,006	2,005	3,442	2,361	2,949	4,633	3,073	4,844	4,707	2,405	3,142	3,524	3,287	961	862	6,145	4,624	1,808	2,537	1,969	2,338	5,317	5,082	3,790	3,854	5,398	7,136	1,468	626	2,679	2,401	3,078	3,227	874	810	4,241	4,434	2,350	2,899	5,302	5,882	2,146	2,409	7,496	6,531	2,375	2,539	7,831	6,616	5,505	8,260	3,611	2,990	7,543	2,764	2,717	5,967	2,318	2,842	7,997	5,952	2,250	1,636	3,195	3,459	2,273	2,181	315	386	2,102	2,548	560	515	4,773	5,423	2,967	1,437	12,010	9,708	3,383	1,490	7,774	10,559	1
Data_09_brain	4,408	4,877	4,836	5,618	2,125	2,385	7,009	8,053	1,789	2,414	1,702	2,157	4,524	2,935	4,368	3,915	2,360	2,896	2,568	3,227	891	828	6,182	4,528	1,390	1,818	2,121	1,910	5,545	5,756	2,442	1,631	4,217	4,551	1,061	437	1,831	1,818	2,223	2,880	795	773	2,625	2,159	1,657	1,571	3,210	3,274	1,688	1,564	4,930	3,920	1,703	1,815	6,316	6,852	4,290	6,397	2,641	2,753	5,418	2,680	2,433	5,739	2,107	4,050	6,346	4,734	1,249	1,806	4,156	4,034	3,731	3,810	175	149	2,196	2,353	482	400	4,145	6,397	1,710	2,122	10,880	8,159	1,436	1,783	6,169	8,764	1
Data_10_brain	4,951	6,460	5,968	6,119	2,097	2,199	8,495	7,495	2,234	2,811	1,550	2,152	4,566	2,735	3,724	4,180	2,466	3,245	3,960	5,298	516	515	5,228	3,501	1,270	2,008	1,182	1,414	4,398	3,858	3,124	3,068	4,214	4,994	732	580	1,187	1,335	1,625	2,032	418	391	4,091	2,998	3,242	3,219	3,338	4,033	2,483	2,023	5,844	4,601	1,950	1,752	5,595	5,006	5,831	5,987	3,911	5,094	5,238	2,897	2,800	3,842	1,492	4,210	8,246	5,212	1,722	1,529	2,726	2,512	1,947	1,736	214	208	2,056	2,315	574	471	5,317	7,490	1,118	1,137	9,273	8,322	650	656	4,643	5,902	1
Data_11_brain	3,481	3,808	4,784	5,754	2,376	2,940	7,159	6,956	2,301	2,958	2,100	2,643	4,897	3,801	4,393	4,199	3,021	3,811	2,819	3,093	900	889	4,816	4,007	2,154	2,222	2,477	1,911	5,858	5,238	3,002	3,367	5,219	5,298	1,026	500	2,628	2,500	3,170	3,753	811	861	4,962	3,682	2,468	2,585	4,862	5,433	3,062	1,892	7,064	4,865	2,690	2,170	6,585	6,031	5,869	4,468	2,658	2,019	3,247	1,572	1,699	1,820	1,931	1,802	6,358	5,135	1,637	828	2,707	2,650	2,010	1,611	214	145	1,596	1,449	829	790	5,604	6,535	1,817	2,232	10,521	7,167	1,252	1,218	7,563	8,164	1
Data_12_brain	5,840	7,679	8,292	7,559	2,243	3,182	10,889	14,479	2,289	3,190	2,497	3,531	6,617	4,758	6,062	5,030	2,749	4,207	5,723	5,555	1,111	1,189	7,166	5,449	2,374	2,926	2,400	2,229	7,119	5,980	4,732	4,184	6,110	7,030	1,176	740	3,427	2,885	3,895	5,880	1,026	925	9,505	5,976	5,198	4,195	5,087	6,940	3,393	2,971	5,760	7,006	2,631	2,215	8,053	8,837	8,644	8,322	4,003	4,596	5,719	4,470	4,243	6,041	2,451	5,527	9,568	7,304	1,450	1,580	3,559	3,361	2,792	3,251	188	396	2,151	2,380	881	655	10,942	11,934	5,108	2,863	14,065	15,867	3,026	3,502	7,132	13,917	0
Data_13_brain	5,144	4,226	5,241	4,914	1,776	2,663	7,990	9,276	1,678	1,957	1,482	2,054	3,369	3,549	3,804	3,285	1,920	2,614	3,658	3,494	920	768	3,718	3,113	1,016	2,130	2,289	2,262	4,125	4,071	2,355	2,898	4,717	5,759	951	631	1,371	1,584	2,146	3,072	456	585	3,514	3,796	2,434	2,321	4,877	4,470	2,431	2,415	6,816	5,735	1,795	2,288	4,972	5,455	4,232	5,150	3,921	3,311	3,930	2,305	1,734	3,019	1,758	2,782	7,017	5,424	1,747	961	2,545	2,409	1,659	1,403	286	203	1,331	1,575	426	370	4,614	4,555	591	1,664	7,468	8,659	276	1,255	3,328	7,577	1
Data_14_brain	7,227	7,172	6,747	8,122	2,608	2,200	8,060	11,008	2,691	2,695	3,179	3,331	4,483	4,446	6,013	5,318	2,222	4,302	6,370	6,427	983	904	6,546	5,135	2,071	2,642	3,620	2,632	6,631	6,267	3,120	2,639	5,701	6,952	1,173	893	3,234	3,007	3,320	3,293	797	729	6,266	4,661	4,340	3,831	5,577	5,433	3,851	3,353	5,272	7,238	1,525	2,351	5,973	11,847	8,360	8,601	4,195	5,658	5,423	3,212	2,052	5,233	1,689	5,227	9,365	6,770	3,461	1,254	3,490	3,052	1,877	2,671	218	702	1,576	1,286	874	853	8,165	10,670	4,728	2,970	12,436	13,753	2,874	3,027	5,727	11,637	0
Data_15_brain	7,454	7,845	6,637	8,132	2,255	2,462	9,033	10,493	2,532	3,261	2,007	2,679	5,353	3,626	5,828	4,707	1,564	2,990	5,013	5,469	1,166	1,050	5,435	4,752	2,264	2,139	2,727	2,556	6,264	5,367	3,706	4,022	4,288	5,565	1,141	769	2,768	2,951	3,481	4,607	871	780	7,069	4,882	4,391	3,226	4,953	5,546	2,080	2,165	3,841	6,864	1,974	2,479	6,861	14,064	7,775	8,465	4,919	3,949	5,674	3,985	2,902	5,787	2,042	4,509	8,279	5,447	2,575	1,308	2,955	2,729	1,409	2,409	77	322	2,067	2,422	492	595	6,181	7,388	5,235	3,639	11,684	12,450	4,108	3,831	7,643	16,680	0
Data_16_brain	9,597	8,581	9,969	10,066	3,410	3,953	15,756	16,350	3,778	3,914	4,165	4,740	5,623	4,291	6,119	5,991	3,422	7,375	5,527	5,453	1,245	1,449	8,783	6,497	3,618	4,398	4,002	4,030	8,278	7,112	5,890	5,718	5,617	6,227	2,494	1,912	2,560	3,895	4,536	4,006	944	939	7,151	5,230	5,494	4,925	8,031	6,218	3,310	3,523	5,722	7,445	2,863	4,122	9,211	13,386	12,766	12,371	5,812	6,567	6,376	4,261	3,337	6,820	2,427	5,180	13,775	8,977	3,186	2,066	3,649	3,221	2,158	2,857	186	499	1,616	2,117	1,376	863	10,668	13,542	5,891	3,379	16,330	14,963	4,679	4,038	8,308	16,558	0
Data_17_brain	8,374	6,064	5,835	7,855	1,668	1,906	9,327	12,665	1,482	3,681	3,392	4,484	4,647	4,659	3,961	4,762	2,024	4,873	4,772	6,510	917	744	6,904	4,430	1,937	1,993	2,483	1,908	6,579	6,261	4,047	3,531	5,104	5,445	1,644	686	2,934	2,610	3,375	4,161	757	890	6,241	4,388	5,082	3,858	4,563	5,453	2,693	2,421	4,594	6,938	2,040	3,072	5,531	9,535	6,579	6,772	6,002	3,628	5,960	3,313	2,566	5,268	2,336	5,907	9,047	8,023	1,745	1,182	3,464	2,857	1,781	2,809	169	782	1,454	1,268	976	947	9,511	9,286	6,312	3,432	10,807	12,905	2,656	3,297	5,669	13,001	0
Data_18_brain	5,443	4,160	5,725	7,026	1,925	2,400	6,559	6,721	1,293	2,550	1,672	2,441	3,791	3,244	3,833	3,821	1,745	3,212	3,987	3,453	801	792	4,027	3,039	1,627	1,962	2,183	1,947	5,081	4,835	3,187	3,143	3,942	4,588	821	700	1,233	1,445	1,813	2,636	465	475	3,419	2,254	2,231	1,982	4,445	4,062	1,563	1,766	5,199	4,385	1,475	1,838	4,739	5,867	5,003	6,021	2,836	2,223	3,267	1,841	1,849	3,459	2,090	2,466	6,023	5,571	1,459	688	3,604	3,383	2,289	2,298	221	129	2,534	2,565	410	460	5,736	6,610	1,958	1,221	10,000	9,449	617	1,433	6,279	7,240	1
Data_19_brain	5,622	4,882	6,180	6,751	1,957	2,354	7,083	9,617	1,592	2,628	1,788	2,597	4,832	3,222	4,089	4,140	2,147	2,916	3,671	3,538	711	893	4,951	4,147	1,186	1,878	1,555	1,686	5,818	5,071	2,719	2,633	3,334	4,600	1,032	496	1,990	2,004	1,905	3,205	767	1,047	3,249	2,602	1,970	1,726	4,336	4,237	1,399	1,642	4,122	4,965	1,891	2,053	4,154	6,533	4,834	5,050	4,193	3,746	4,777	2,473	2,294	3,455	1,888	2,885	6,243	5,287	979	1,114	4,410	4,539	4,449	4,445	878	750	1,525	2,184	448	475	4,885	6,137	1,610	2,799	9,344	9,541	1,168	2,132	6,254	7,882	1
Data_20_brain	3,434	3,805	4,795	4,880	1,952	2,060	5,541	7,442	1,792	2,399	1,258	2,081	3,230	3,552	4,035	3,538	2,398	2,816	3,052	2,456	639	686	4,054	2,961	1,024	1,455	1,422	1,461	3,877	4,061	2,561	3,439	3,332	4,627	609	406	1,325	1,383	1,704	2,119	354	472	3,223	2,869	1,849	2,076	4,011	3,742	1,706	1,758	5,975	4,276	1,858	1,718	4,518	5,679	4,619	6,401	3,205	2,837	3,927	1,866	3,076	4,166	1,786	3,146	5,192	5,105	1,375	826	2,953	3,083	1,819	1,931	134	135	1,066	1,399	412	312	4,438	5,333	1,269	1,351	7,990	9,139	588	1,644	5,325	8,787	1
Data_21_brain	9,120	6,714	7,406	8,744	2,142	2,136	11,173	13,636	2,169	2,734	3,005	3,676	4,521	4,430	5,532	5,394	2,260	3,607	4,521	4,931	1,028	1,099	6,333	5,421	2,231	2,194	2,542	2,269	5,876	5,622	4,097	3,242	6,059	7,138	1,403	751	3,364	3,516	3,698	6,453	935	1,474	6,726	3,699	5,414	4,364	5,064	5,842	2,472	2,557	5,556	5,842	1,811	2,130	6,497	10,823	8,235	8,137	4,676	4,769	6,017	3,009	2,638	5,629	2,062	4,131	8,162	7,398	2,490	1,994	2,996	2,899	2,395	2,464	216	524	1,852	2,245	632	970	7,971	10,789	5,207	5,060	12,615	15,168	3,099	7,874	6,482	15,171	0
Data_22_brain	5,540	3,949	5,472	6,882	1,760	2,237	7,136	8,017	1,309	2,332	2,012	2,660	5,040	3,892	4,385	3,683	2,608	3,445	4,367	4,805	973	901	4,923	4,695	1,813	1,682	1,277	1,316	5,821	5,091	3,920	3,767	4,355	5,279	1,054	528	2,636	2,628	5,082	5,877	711	786	4,976	3,995	3,340	2,805	5,780	4,914	2,603	2,013	7,067	4,305	2,066	2,127	11,339	9,723	5,874	6,265	4,371	3,968	5,828	2,556	2,254	4,375	2,566	3,960	6,709	6,438	1,592	956	3,118	3,049	2,598	2,431	322	221	1,375	1,733	529	472	5,171	6,897	1,787	2,249	12,846	10,346	1,899	3,154	10,590	11,099	1
Data_23_brain	6,509	6,513	7,264	8,477	2,814	2,661	7,652	11,319	2,193	2,486	2,347	2,493	3,779	3,390	4,546	4,120	2,879	3,424	4,771	6,651	944	933	5,789	5,382	1,924	2,181	2,326	1,831	5,576	6,099	3,658	3,129	3,925	5,758	782	403	2,400	2,555	2,210	3,278	601	850	4,362	4,001	4,531	4,091	4,257	4,691	3,394	2,968	8,743	5,807	2,312	2,824	6,535	6,998	8,865	7,517	5,773	3,804	6,141	2,480	2,470	5,871	2,754	3,049	11,623	7,873	3,176	2,059	3,706	3,552	2,987	3,295	164	227	2,116	2,181	604	406	5,509	7,747	2,560	2,363	10,629	12,924	2,057	1,518	10,267	11,669	1
Data_24_brain	7,693	7,335	9,451	9,059	2,225	1,858	11,860	11,931	1,906	2,512	2,830	3,840	6,570	6,915	6,598	5,606	3,278	4,538	4,514	5,574	1,419	1,137	7,131	5,463	2,360	2,865	3,190	2,467	7,094	6,521	4,462	3,115	6,073	7,336	2,020	1,530	2,753	3,756	4,415	3,323	896	555	10,241	6,838	5,717	5,218	7,531	7,252	3,487	4,335	6,612	7,093	3,110	2,631	8,545	11,764	9,200	8,291	4,346	4,344	6,388	2,808	3,358	7,598	1,934	7,206	10,549	9,546	3,667	1,474	3,456	3,254	2,491	2,602	282	418	1,726	1,964	888	987	9,229	9,551	5,188	2,763	17,521	14,825	3,485	3,102	6,998	14,300	0
Data_25_brain	9,263	8,177	6,155	8,429	1,974	2,748	9,037	11,178	1,438	2,864	3,517	3,323	5,053	3,773	4,028	5,413	2,176	4,434	5,181	5,587	757	762	5,495	5,554	1,760	1,929	2,565	2,450	5,606	5,702	3,556	3,571	6,032	5,904	1,795	1,369	2,659	4,078	3,525	4,031	861	607	7,827	4,591	5,042	4,262	4,885	6,718	2,927	2,792	3,036	5,367	1,646	2,843	7,050	8,954	9,432	10,998	5,804	7,413	4,891	3,455	2,332	6,428	1,813	4,251	10,731	9,662	3,327	1,139	3,005	2,807	1,732	2,317	140	234	2,003	2,562	754	1,020	6,454	8,358	5,608	2,885	10,286	12,720	2,984	3,571	6,172	12,875	0
Data_26_brain	7,991	5,421	6,523	8,167	2,423	2,039	9,886	12,478	1,964	2,788	2,831	3,808	6,530	3,943	4,356	5,292	1,982	4,441	5,015	4,670	1,076	1,098	5,573	5,802	2,420	2,427	2,550	2,148	6,960	5,766	3,959	4,115	6,040	7,035	1,210	838	3,178	3,198	3,216	3,717	1,081	680	7,049	4,178	4,121	3,618	4,924	5,254	2,659	3,263	4,470	7,850	1,771	3,094	5,940	10,388	8,301	8,116	5,508	3,845	7,465	3,810	2,781	4,020	1,797	6,129	9,051	7,949	2,047	1,012	3,359	3,109	1,533	1,997	87	291	1,583	1,915	944	999	8,916	9,342	5,691	3,165	12,071	14,613	2,714	3,034	6,167	14,830	0
Data_27_brain	8,432	9,634	7,345	8,895	2,371	2,516	6,762	12,797	2,212	3,448	2,932	2,864	5,030	4,722	6,697	5,756	2,491	4,310	6,661	5,531	1,145	1,088	7,073	5,684	2,746	2,810	3,007	3,177	7,199	6,309	3,396	2,937	4,906	6,899	1,646	852	3,089	3,251	3,998	6,031	1,054	1,188	6,341	4,732	3,594	3,847	5,649	6,219	1,948	2,750	3,427	4,860	2,252	2,488	6,735	11,031	8,917	8,760	5,240	5,339	4,066	3,552	2,169	4,874	1,624	5,483	10,788	9,146	3,171	1,721	3,537	3,626	2,666	2,552	258	512	1,666	1,751	790	685	7,030	9,249	6,136	5,189	13,902	15,347	3,950	9,869	6,855	17,218	0
Data_28_brain	6,254	7,232	6,540	7,081	1,798	2,135	8,595	11,017	1,490	2,412	3,168	3,284	5,988	4,743	5,473	5,384	2,428	4,065	4,343	5,154	1,175	993	6,266	5,653	1,615	2,178	2,935	2,590	7,094	6,064	4,299	3,374	5,263	6,217	1,026	451	3,524	3,357	3,542	3,985	1,232	749	8,231	4,912	4,504	3,367	5,446	6,464	3,002	2,483	5,738	7,087	2,458	2,475	6,139	9,354	8,353	9,296	5,360	5,030	5,420	3,614	2,572	6,642	1,479	2,941	7,947	7,033	2,471	1,590	3,688	3,328	3,036	3,112	349	534	1,601	1,562	1,140	912	8,729	9,977	4,623	3,219	11,665	14,657	2,467	3,108	6,922	12,296	0
Data_29_brain	6,884	5,935	6,712	6,511	2,212	2,553	10,645	12,293	1,674	2,989	3,132	3,181	4,293	4,672	3,916	4,057	1,893	3,483	4,314	4,455	939	840	5,749	3,935	1,963	2,654	2,337	2,195	5,699	5,075	4,587	4,099	5,195	5,819	1,343	700	2,974	2,663	3,869	4,204	909	689	6,534	4,186	4,619	4,129	5,122	5,356	3,009	2,636	3,913	5,401	1,192	1,476	6,490	9,487	7,133	6,440	4,385	4,193	5,567	2,854	2,419	5,988	2,332	5,124	9,003	8,403	2,098	1,150	2,601	2,300	1,805	2,906	204	661	1,415	1,344	735	585	7,656	8,749	4,427	3,189	10,526	11,551	2,768	3,933	4,970	12,049	0
Data_30_brain	7,170	6,301	8,190	8,968	2,141	1,964	10,844	11,674	1,816	2,109	2,994	3,148	5,169	4,935	5,007	4,643	1,838	3,975	5,804	5,908	1,096	890	5,968	5,699	2,234	2,471	2,357	1,934	6,505	5,306	3,531	4,158	6,017	6,353	1,362	605	3,030	2,532	3,739	4,663	957	716	8,063	4,477	5,416	5,669	5,665	6,392	2,602	2,980	4,031	5,939	1,806	2,637	6,456	11,463	9,263	10,167	5,673	3,631	6,208	3,244	2,364	7,504	1,929	3,783	7,965	7,951	2,839	1,569	3,087	2,915	1,444	1,788	75	298	1,296	1,524	1,033	585	8,331	10,933	6,104	3,382	10,215	11,734	3,585	3,551	6,298	12,506	0
Data_31_brain	8,716	7,150	7,676	10,478	3,058	2,730	9,964	11,953	2,490	2,937	3,220	3,565	6,105	4,011	6,314	6,178	2,416	3,979	6,663	7,537	1,097	861	7,716	6,457	2,389	2,959	3,889	3,383	8,386	6,782	3,920	3,434	6,419	6,753	1,719	966	3,670	4,812	4,331	5,442	1,004	1,522	9,823	6,742	3,669	3,931	6,920	7,117	2,472	2,920	6,257	6,716	2,569	3,348	6,262	11,800	8,634	11,355	7,093	4,472	8,826	4,290	2,833	6,619	2,828	5,498	12,933	9,537	2,912	1,783	3,459	3,360	3,946	4,648	557	587	1,699	1,584	868	967	7,965	8,121	5,355	3,829	13,800	15,051	3,725	9,828	5,956	16,915	0
Data_32_brain	6,990	6,543	6,942	7,225	2,253	2,523	7,912	8,673	2,405	2,940	3,762	2,871	5,246	3,411	6,014	5,606	2,298	5,620	3,810	4,153	1,495	1,402	5,326	4,998	2,338	2,573	3,598	2,599	6,933	5,693	3,278	3,648	5,950	5,985	1,778	1,330	3,274	3,217	3,307	3,393	1,018	778	9,450	6,577	5,322	3,963	6,223	6,791	3,205	3,337	6,359	8,320	2,378	3,257	5,628	8,955	6,783	7,385	3,742	3,806	6,907	2,632	3,427	4,873	3,276	3,763	8,603	8,171	1,708	1,226	3,032	2,762	2,159	2,503	218	424	1,762	1,977	556	856	6,299	9,187	5,914	2,909	14,044	13,647	2,660	3,002	6,620	12,824	0
Data_33_brain	6,957	7,466	5,593	7,068	1,997	2,620	9,298	9,956	2,359	2,573	1,594	2,825	4,433	3,079	4,255	3,624	2,062	2,845	3,325	4,059	431	525	3,923	4,213	1,125	2,298	1,237	1,934	5,113	4,191	2,824	3,584	4,667	5,961	1,044	438	1,654	1,395	2,118	2,741	436	544	6,528	5,006	3,523	2,856	5,623	4,392	2,287	2,652	6,525	6,152	2,078	2,205	5,151	6,449	6,538	5,909	3,570	2,169	5,958	2,075	1,805	3,324	1,428	3,226	7,103	5,991	1,736	1,678	3,916	3,582	1,721	1,445	112	114	1,225	1,256	357	306	3,996	5,727	1,296	929	9,785	12,301	682	1,384	7,119	7,329	1
Data_34_brain	5,356	4,894	5,998	6,039	1,633	1,808	7,322	7,716	1,733	2,088	1,709	2,309	3,055	2,983	4,407	3,892	2,527	3,061	4,219	4,572	743	687	4,067	3,976	1,193	1,695	1,524	1,585	4,317	4,128	2,865	3,127	4,104	4,774	769	447	2,020	1,569	2,071	2,302	645	619	4,149	2,782	2,300	2,850	4,582	3,726	1,557	1,926	6,453	3,253	1,760	1,451	5,105	5,140	5,878	6,136	3,445	2,309	5,553	2,644	2,182	3,088	2,376	2,479	6,372	4,755	1,436	811	2,758	2,743	3,181	3,043	298	268	1,852	1,812	572	566	5,649	6,285	2,489	1,966	10,130	9,533	1,505	1,463	5,391	6,539	1
Data_35_brain	4,759	6,600	4,973	5,505	2,143	1,789	7,836	10,047	3,250	2,281	1,776	1,740	4,114	3,669	6,582	4,543	2,256	2,574	3,136	3,347	865	941	3,780	3,792	1,021	1,504	1,593	2,021	4,746	4,063	3,407	3,801	3,857	3,711	817	353	2,591	2,120	3,224	3,320	694	747	4,337	2,955	2,399	2,326	5,334	4,062	1,439	1,772	4,654	3,885	1,897	1,273	6,733	5,227	5,833	6,720	3,380	2,454	4,685	1,282	2,112	2,229	2,966	2,359	6,452	4,215	1,627	1,379	2,549	2,573	1,468	1,284	69	60	1,160	1,189	354	319	4,030	3,972	2,215	1,684	9,141	7,512	2,318	1,666	6,536	6,086	1
Data_36_brain	4,269	6,622	4,995	4,699	2,480	2,438	6,541	8,273	2,036	2,108	2,110	2,302	3,776	3,640	4,661	3,952	2,146	3,456	3,419	3,365	671	565	4,242	2,370	1,624	1,986	1,697	1,573	5,157	4,164	3,325	2,646	4,370	4,089	806	391	1,920	1,468	4,573	4,539	759	471	4,825	3,056	3,371	2,558	4,784	4,475	1,610	1,484	5,906	3,273	1,638	1,601	7,517	8,169	5,302	6,607	4,160	2,604	3,273	2,683	1,838	3,036	2,265	2,844	6,956	4,599	2,146	1,810	1,873	2,383	1,838	1,830	72	89	1,521	1,380	425	275	4,264	5,860	3,005	2,473	10,944	7,952	2,310	2,021	6,167	5,569	1
Data_37_brain	9,011	7,779	7,730	8,083	1,959	2,676	11,578	12,037	2,060	3,297	2,502	3,015	6,013	5,618	5,922	5,820	2,310	4,260	6,540	6,708	1,279	1,164	6,473	6,783	2,384	2,742	3,484	2,647	7,550	6,654	4,410	3,662	6,045	7,228	1,861	1,036	3,164	2,931	3,408	3,860	963	574	8,985	4,849	5,000	3,527	6,044	6,678	3,511	3,211	4,073	6,976	1,469	2,831	6,505	11,712	8,750	8,306	7,510	5,659	5,970	3,752	2,548	6,333	1,976	5,924	8,889	7,281	2,309	1,424	3,458	3,016	2,014	2,885	208	370	1,556	1,705	904	841	9,349	9,719	6,022	3,129	11,970	17,021	4,078	3,220	7,322	13,291	0
Data_38_brain	8,499	8,961	7,726	9,471	2,222	2,181	11,582	15,951	2,088	2,908	4,424	3,056	7,004	5,339	7,355	5,750	3,005	5,150	6,228	5,994	1,401	1,154	8,443	6,570	2,359	2,176	3,299	2,043	9,582	7,928	4,320	4,134	7,347	7,838	1,973	865	3,564	3,694	4,479	3,480	1,207	944	10,731	7,523	5,980	5,435	7,016	7,115	4,073	3,051	6,086	7,000	2,555	4,245	8,115	11,894	10,148	12,384	6,591	6,465	8,140	4,110	3,082	9,460	2,589	5,258	11,115	10,782	2,599	1,907	3,184	3,013	2,350	2,692	121	504	1,290	1,358	1,114	877	9,989	13,079	7,175	3,782	15,689	16,233	3,784	3,394	9,409	15,194	0
Data_39_brain	5,357	5,767	5,768	6,395	1,933	2,384	7,812	9,548	1,831	2,338	1,433	2,153	3,460	2,762	4,669	4,570	2,259	3,154	3,397	4,665	771	712	5,363	3,116	1,246	1,798	1,923	1,847	4,886	4,148	2,977	3,391	4,007	4,809	754	518	1,793	1,524	2,070	2,316	400	440	3,878	3,386	2,393	2,379	3,727	4,199	2,064	2,011	6,307	4,332	1,759	1,535	5,869	5,383	5,066	5,662	3,150	2,817	4,126	1,776	2,227	2,980	2,499	2,347	5,543	5,383	1,456	1,200	3,198	3,104	2,790	2,699	338	235	1,936	2,157	541	589	4,676	6,490	1,671	2,018	7,852	8,046	1,355	1,053	5,895	5,838	1

Dataset Card for aal_stats_vol

The AAL (Automated Anatomical Labeling) Statistical Volume Dataset provides a comprehensive collection of brain volume measurements based on AAL atlases. It covers statistical information on brain regions derived from structural magnetic resonance imaging (MRI) scans. Researchers commonly utilize this dataset for studies related to neuroimaging, neuroscience, and structural analysis of the brain.The AAL Statistical Volume Dataset plays a key role in advancing our understanding of brain anatomy by supporting the development and evaluation of automated brain region identification and volume analysis algorithms. With its wealth of volumetric data from diverse individuals, the dataset provides an invaluable resource for studies aimed at characterizing structural changes in the brain between populations and facilitates advances in neuroscience research.

Usage

from datasets import load_dataset

data = load_dataset("Genius-Society/aal_stats_vol", split="train")
for item in data:
    print(item)

Maintenance

GIT_LFS_SKIP_SMUDGE=1 git clone [email protected]:datasets/Genius-Society/aal_stats_vol
cd aal_stats_vol

Mirror

https://www.modelscope.cn/datasets/Genius-Society/aal_stats_vol

The raw data of this dataset locates at ./data in the above mirror repo, whose details are as follows:

Attachments

Original data;
Packages;
Intermediate products;
Source code with the output csv data.

Steps to Achieve the Goal

Skull Stripping: To extract brain from raw MRI images;
Tissue Segmentation: To segment brain into white matters, grey matters and cerebrospinal fluid (CSF);
Registration: To register the standard space to native space;
Measurement(With mask): With the generated masks, to measure the volumes of 90 ROIs;
Classification: To fill out the shell scripts and run them, to write a Python script to train the model and test with the provided testing dataset.

Classification details

If everything went well before this, a matrix with a size of 50x90 would be obtained: It means there are 50 samples of which each has 90 features(volumes);
Dataset: 40 Training and 10 Testing;
Training: To feed into the classifier to train a model;
Testing: To test the model and provide the result.

Reference

[1] Chapter II ‐ Classifying AD patients and normal controls from brain images

Downloads last month: 132

Size of downloaded dataset files:

25.7 kB

Size of the auto-converted Parquet files:

125 kB

Number of rows: